Unnamed: 0 int64 0 350k | level_0 int64 0 351k | ApplicationNumber int64 9.75M 96.1M | ArtUnit int64 1.6k 3.99k | Abstract stringlengths 1 8.37k | Claims stringlengths 3 292k | abstract-claims stringlengths 68 293k | TechCenter int64 1.6k 3.9k |
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13,600 | 13,600 | 14,720,006 | 3,689 | Systems and methods for optimizing asset value based on driver acceleration and braking behavior are described. The methods include collecting vehicle data, applying a weighting function to the collected data to generate a value representing the energy or fuel wasted due to acceleration and braking behavior, and tabulating the generated value over the duration of a driving event to generate a driver performance score. The methods also include evaluating the driver performance score based on a business model, and modifying subsequent driver behavior based upon the evaluation. | 1. A method for optimizing asset value based on driver acceleration and braking behavior, comprising:
collecting vehicle data; applying a weighting function to the collected data to generate a value representing the energy or fuel wasted due to acceleration and braking behavior; tabulating the generated value over the duration of a driving event to generate a driver performance score; evaluating the driver performance score based on a business model; and modifying subsequent driver behavior based upon the evaluation. 2. The method of claim 1, wherein the vehicle data comprises at least one of vehicle speed, braking indication, global positioning system (GPS) position and attitude, throttle position, multi-axis vehicle acceleration data, engine torque, and tire air pressure. 3. The method of claim 1, wherein the vehicle data comprises overall at least one of vehicle weight, tire data or rolling resistance estimates, and aerodynamic configuration or drag estimates including driving vehicle and towed components. 4. The method of claim 1, wherein the vehicle data comprises at least one of weather information, including wind speed and direction, visibility information, light levels, road conditions, or traffic information. 5. The method of claim 1, wherein the value representing the energy or fuel wasted due to acceleration and braking behavior is calculated from an estimate of braking forces during a braking event. 6. The method of claim 1, wherein the value representing the energy or fuel wasted due to acceleration and braking behavior is estimated from the fuel used during an acceleration event. 7. The method of claim 1, wherein the value representing the energy or fuel wasted due to acceleration and braking behavior is calculated from an estimate of kinetic energy loss during a braking event. 8. The method of claim 1 wherein the vehicle data necessary to estimate energy loss during breaking are provided by a software interface to another business application, such as asset management or operations management systems. 9. The method of claim 1 wherein the vehicle data necessary to estimate energy loss during breaking are determined dynamically through system identification methods. 10. The method of claim 1 wherein a cargo mass of the vehicle is estimated dynamically using system identification methods and the vehicle data other than the cargo mass are provided by a software interface to another business application, such as asset management or operations management systems. 11. The method of claim 10, wherein aerodynamic drag and rolling resistance parameters are dynamically updated based on real-time data, and other available contextual information. 12. The method of claim 1, wherein acceleration and braking behavior are calculated on the vehicle in near real-time, or off the vehicle in near real-time and communicated back to the vehicle. 13. The method of claim 12 where a sequence of wasteful driver acceleration and braking metric (DABM) events exceeds a target threshold, and an alert is provided to warn the driver of a subsequent acceleration event that occurs within a time threshold and exceeds an acceleration threshold. 14. The method of claim 1, wherein acceleration and braking behavior are calculated off the vehicle after completion of a driving sequence and driver acceleration and braking metric (DABM) results used to assess a driving performance in driving conditions, or aggregated over the entire sequence to determine an overall driving performance metric. 15. The method of claim 14, wherein the driver performance is represented in units of fuel that were wasted due to a non-ideal driver behavior. 16. The method of claim 1 wherein the weighting function is a function of time since acceleration affecting how energy losses due to braking activity are accrued by a driver acceleration and braking metric (DABM). 17. The method of claim 16 wherein a functional form of the weighing function, including the characteristic delay time of the weighting function, changes depending on vehicle operating conditions or external conditions. 18. The method of claim 17, where the characteristic delay time of the weighting function is adjusted based on a plan ahead distance and the vehicle speed at the time of acceleration. 19. The method of claim 18, where the functional form of the weighting function or the plan ahead distance is also a function of one or more parameters that include at least one of real-time traffic load data, weather conditions, light conditions, road profile including slope or curvature, type of road (such as local road or limited access highway), and proximity to intersections or interchanges. 20. A method for optimizing asset value based on driver acceleration and breaking behavior, comprising:
collecting braking and accelerating data from a vehicle; applying a weighting function to the collected data to generate a value representing the energy or fuel wasted due to braking and accelerating behavior by an operator of the vehicle; determining a penalty for the braking and accelerating behavior by the operator of the vehicle from the generated value; and alerting the operator of the vehicle as to a determined penalty for the braking and accelerating behavior by the operator, wherein the operator is alerted as to the determined penalty at a predetermined time following the braking and accelerating behavior that caused the determined penalty. 21. The method of claim 20, wherein the weighting function is a function of time. 22. The method of claim 20, wherein the weighting function is a function of distance. | Systems and methods for optimizing asset value based on driver acceleration and braking behavior are described. The methods include collecting vehicle data, applying a weighting function to the collected data to generate a value representing the energy or fuel wasted due to acceleration and braking behavior, and tabulating the generated value over the duration of a driving event to generate a driver performance score. The methods also include evaluating the driver performance score based on a business model, and modifying subsequent driver behavior based upon the evaluation.1. A method for optimizing asset value based on driver acceleration and braking behavior, comprising:
collecting vehicle data; applying a weighting function to the collected data to generate a value representing the energy or fuel wasted due to acceleration and braking behavior; tabulating the generated value over the duration of a driving event to generate a driver performance score; evaluating the driver performance score based on a business model; and modifying subsequent driver behavior based upon the evaluation. 2. The method of claim 1, wherein the vehicle data comprises at least one of vehicle speed, braking indication, global positioning system (GPS) position and attitude, throttle position, multi-axis vehicle acceleration data, engine torque, and tire air pressure. 3. The method of claim 1, wherein the vehicle data comprises overall at least one of vehicle weight, tire data or rolling resistance estimates, and aerodynamic configuration or drag estimates including driving vehicle and towed components. 4. The method of claim 1, wherein the vehicle data comprises at least one of weather information, including wind speed and direction, visibility information, light levels, road conditions, or traffic information. 5. The method of claim 1, wherein the value representing the energy or fuel wasted due to acceleration and braking behavior is calculated from an estimate of braking forces during a braking event. 6. The method of claim 1, wherein the value representing the energy or fuel wasted due to acceleration and braking behavior is estimated from the fuel used during an acceleration event. 7. The method of claim 1, wherein the value representing the energy or fuel wasted due to acceleration and braking behavior is calculated from an estimate of kinetic energy loss during a braking event. 8. The method of claim 1 wherein the vehicle data necessary to estimate energy loss during breaking are provided by a software interface to another business application, such as asset management or operations management systems. 9. The method of claim 1 wherein the vehicle data necessary to estimate energy loss during breaking are determined dynamically through system identification methods. 10. The method of claim 1 wherein a cargo mass of the vehicle is estimated dynamically using system identification methods and the vehicle data other than the cargo mass are provided by a software interface to another business application, such as asset management or operations management systems. 11. The method of claim 10, wherein aerodynamic drag and rolling resistance parameters are dynamically updated based on real-time data, and other available contextual information. 12. The method of claim 1, wherein acceleration and braking behavior are calculated on the vehicle in near real-time, or off the vehicle in near real-time and communicated back to the vehicle. 13. The method of claim 12 where a sequence of wasteful driver acceleration and braking metric (DABM) events exceeds a target threshold, and an alert is provided to warn the driver of a subsequent acceleration event that occurs within a time threshold and exceeds an acceleration threshold. 14. The method of claim 1, wherein acceleration and braking behavior are calculated off the vehicle after completion of a driving sequence and driver acceleration and braking metric (DABM) results used to assess a driving performance in driving conditions, or aggregated over the entire sequence to determine an overall driving performance metric. 15. The method of claim 14, wherein the driver performance is represented in units of fuel that were wasted due to a non-ideal driver behavior. 16. The method of claim 1 wherein the weighting function is a function of time since acceleration affecting how energy losses due to braking activity are accrued by a driver acceleration and braking metric (DABM). 17. The method of claim 16 wherein a functional form of the weighing function, including the characteristic delay time of the weighting function, changes depending on vehicle operating conditions or external conditions. 18. The method of claim 17, where the characteristic delay time of the weighting function is adjusted based on a plan ahead distance and the vehicle speed at the time of acceleration. 19. The method of claim 18, where the functional form of the weighting function or the plan ahead distance is also a function of one or more parameters that include at least one of real-time traffic load data, weather conditions, light conditions, road profile including slope or curvature, type of road (such as local road or limited access highway), and proximity to intersections or interchanges. 20. A method for optimizing asset value based on driver acceleration and breaking behavior, comprising:
collecting braking and accelerating data from a vehicle; applying a weighting function to the collected data to generate a value representing the energy or fuel wasted due to braking and accelerating behavior by an operator of the vehicle; determining a penalty for the braking and accelerating behavior by the operator of the vehicle from the generated value; and alerting the operator of the vehicle as to a determined penalty for the braking and accelerating behavior by the operator, wherein the operator is alerted as to the determined penalty at a predetermined time following the braking and accelerating behavior that caused the determined penalty. 21. The method of claim 20, wherein the weighting function is a function of time. 22. The method of claim 20, wherein the weighting function is a function of distance. | 3,600 |
13,601 | 13,601 | 14,482,949 | 3,683 | In one embodiment, a method comprises receiving an indication of one or more care-episodes from a client device. Each care-episode may include an identifier for one or more physicians, a base-concept corresponding to a medical condition or medical treatment, one or more sub-concepts associated with the base-concept, and an indication of the resources used during the care-episode. The method comprises calculates one or more cost-factors for a base-concept for a particular physician based on the care-episodes associated with the base-concept. The method further comprises determining a specialty and geographic region of the particular physician. A peer group of physicians in the same specialty and geographic region is selected. A performance score is calculated based on the cost-factor for the physician compared to the cost-factors for the peer group of physicians. | 1. A method comprising:
receiving, by one or more computing devices of a performance-engine system, an indication of one or more care-episodes from a client device, wherein each care-episode comprises:
an identifier for one or more physicians;
a base-concept corresponding to a medical-condition or medical-treatment;
one or more sub-concepts associated with the base-concept; and
a resource-usage factor;
calculating, by one or more computing devices, one or more cost-factors, each cost-factor being calculated for a particular physician and based at least in part on:
a particular base-concept;
one or more particular sub-concepts associated with the base-concept; and
one or more care-episodes associated with the particular base-concept and particular sub-concepts;
determining, by the one or more computing devices, a specialty and geographic region of the particular physician; selecting, by the one or more computing devices, a peer-group of physicians, the peer-group comprising a plurality of physicians having a common specialty and geographic region as the particular physician; and calculating, by the one or more computing devices, a performance-score for the particular physician with respect to the particular base-concept based at least in part on the cost-factor of the particular physician and an average cost factor for the peer-group. 2. The method of claim 1, wherein the cost factor is based on the geographic location of the episode of care. 3. The method of claim 1, wherein the indication of a care-episode comprises one or more Current Procedural Terminology (CPT) codes and one or more International Classification of Diseases (ICD) codes associated with the care-episode. 4. The method of claim 3, wherein each of the one or more sub-concepts associated with the base-concept are based at least in part on one or more CPT codes or ICD codes received for the care-episode. 5. The method of claim 1, wherein the cost factors comprise a monetary cost for treating the base-concept. 6. The method of claim 1, wherein the cost factors comprise one or more relative value units (RVU) corresponding to one or more CPT codes associated with the base-concept. 7. The method of claim 6, wherein the RVU cost factor is compared with the monetary cost for treating the base-concept. 8. The method of claim 6, wherein the resource-usage factor comprises an RVU cost for the care-episode, wherein the RVU cost represents a total cost for each medical procedure performed by the physician in association with the care-episode. 9. The method of claim 1, wherein the one or more particular sub-concepts comprise a sub-concept group associated with one or more base-concepts. 10. The method of claim 9, wherein determining the one or more sub-concepts associated with the base concept comprises selecting a sub-concept group stored on a database of the performance-engine system. 11. The method of claim 9, further comprising:
determining that the one or more sub-concepts associated with the base-concept do not correspond to a sub-concept group stored on a database of the performance-engine system; and selecting a new sub-concept group comprising the one or more sub-concepts and adding the new sub-concept group to the database. 12. The method of claim 19, wherein each sub-concept group is associated with a patient-group comprising one or more patients, wherein each of the one or more patients correspond to care-episodes corresponding to the one or more sub-concepts comprising the sub-concept group. 13. The method of claim 12, wherein each patient-group is associated with an aggregate cost-factor, the aggregate cost-factor comprising one or more resource-usage factors associated with the care-episodes for each of the patients in the patient-group. 14. The method of claim 13, wherein the aggregate cost-factor comprises a weighted average of the resource-usage factors, each resource-usage factor being weighted by an age of the care-episode. 15. The method of claim 1, wherein each care-episode has an associated period of time. 16. The method of claim 1, wherein the client device is associated with the one or more physicians. 17. The method of claim 1, wherein a performance-score for a particular sub-concept group is based on the difference between an RVU cost of the sub-concept group for one physician, compared to an RVU cost of the sub-concept group for the peer-group of physicians. 18. The method of claim 1, wherein the performance-score for a particular base-concept comprises an aggregate of one or more individual performance-scores for one or more associated sub-concept groups. 19. One or more non-transitory, computer-readable storage media embodying software that is operable when executed to:
receive an indication of one or more care-episodes from a client device, wherein each care-episode comprises:
an identifier for one or more physicians;
a base-concept;
one or more sub-concepts associated with the base-concept; and
a resource-usage factor;
calculate one or more cost-factors, each cost-factor being calculated for a particular physician and based at least in part on:
a particular base-concept;
one or more particular sub-concepts associated with the base-concept; and
one or more care-episodes associated with the particular base-concept and particular sub-concepts;
determine a specialty and geographic region of the particular physician; select a peer-group of physicians, the peer-group comprising a plurality of physicians having a common specialty and geographic region as the particular physician; and calculate a performance-score for the particular physician with respect to the particular base-concept based at least in part on the cost-factor of the particular physician and an average cost factor for the peer-group. 20. A system comprising: one or more processors; and a memory coupled to the processors comprising instructions executable by the processors, the processors being operable when executing the instructions to:
receive an indication of one or more care-episodes from a client device, wherein each care-episode comprises:
an identifier for one or more physicians;
a base-concept;
one or more sub-concepts associated with the base-concept; and
a resource-usage factor;
calculate one or more cost-factors, each cost-factor being calculated for a particular physician and based at least in part on:
a particular base-concept;
one or more particular sub-concepts associated with the base-concept; and
one or more care-episodes associated with the particular base-concept and particular sub-concepts;
determine a specialty and geographic region of the particular physician; select a peer-group of physicians, the peer-group comprising a plurality of physicians having a common specialty and geographic region as the particular physician; and calculate a performance-score for the particular physician with respect to the particular base-concept based at least in part on the cost-factor of the particular physician and an average cost factor for the peer-group. | In one embodiment, a method comprises receiving an indication of one or more care-episodes from a client device. Each care-episode may include an identifier for one or more physicians, a base-concept corresponding to a medical condition or medical treatment, one or more sub-concepts associated with the base-concept, and an indication of the resources used during the care-episode. The method comprises calculates one or more cost-factors for a base-concept for a particular physician based on the care-episodes associated with the base-concept. The method further comprises determining a specialty and geographic region of the particular physician. A peer group of physicians in the same specialty and geographic region is selected. A performance score is calculated based on the cost-factor for the physician compared to the cost-factors for the peer group of physicians.1. A method comprising:
receiving, by one or more computing devices of a performance-engine system, an indication of one or more care-episodes from a client device, wherein each care-episode comprises:
an identifier for one or more physicians;
a base-concept corresponding to a medical-condition or medical-treatment;
one or more sub-concepts associated with the base-concept; and
a resource-usage factor;
calculating, by one or more computing devices, one or more cost-factors, each cost-factor being calculated for a particular physician and based at least in part on:
a particular base-concept;
one or more particular sub-concepts associated with the base-concept; and
one or more care-episodes associated with the particular base-concept and particular sub-concepts;
determining, by the one or more computing devices, a specialty and geographic region of the particular physician; selecting, by the one or more computing devices, a peer-group of physicians, the peer-group comprising a plurality of physicians having a common specialty and geographic region as the particular physician; and calculating, by the one or more computing devices, a performance-score for the particular physician with respect to the particular base-concept based at least in part on the cost-factor of the particular physician and an average cost factor for the peer-group. 2. The method of claim 1, wherein the cost factor is based on the geographic location of the episode of care. 3. The method of claim 1, wherein the indication of a care-episode comprises one or more Current Procedural Terminology (CPT) codes and one or more International Classification of Diseases (ICD) codes associated with the care-episode. 4. The method of claim 3, wherein each of the one or more sub-concepts associated with the base-concept are based at least in part on one or more CPT codes or ICD codes received for the care-episode. 5. The method of claim 1, wherein the cost factors comprise a monetary cost for treating the base-concept. 6. The method of claim 1, wherein the cost factors comprise one or more relative value units (RVU) corresponding to one or more CPT codes associated with the base-concept. 7. The method of claim 6, wherein the RVU cost factor is compared with the monetary cost for treating the base-concept. 8. The method of claim 6, wherein the resource-usage factor comprises an RVU cost for the care-episode, wherein the RVU cost represents a total cost for each medical procedure performed by the physician in association with the care-episode. 9. The method of claim 1, wherein the one or more particular sub-concepts comprise a sub-concept group associated with one or more base-concepts. 10. The method of claim 9, wherein determining the one or more sub-concepts associated with the base concept comprises selecting a sub-concept group stored on a database of the performance-engine system. 11. The method of claim 9, further comprising:
determining that the one or more sub-concepts associated with the base-concept do not correspond to a sub-concept group stored on a database of the performance-engine system; and selecting a new sub-concept group comprising the one or more sub-concepts and adding the new sub-concept group to the database. 12. The method of claim 19, wherein each sub-concept group is associated with a patient-group comprising one or more patients, wherein each of the one or more patients correspond to care-episodes corresponding to the one or more sub-concepts comprising the sub-concept group. 13. The method of claim 12, wherein each patient-group is associated with an aggregate cost-factor, the aggregate cost-factor comprising one or more resource-usage factors associated with the care-episodes for each of the patients in the patient-group. 14. The method of claim 13, wherein the aggregate cost-factor comprises a weighted average of the resource-usage factors, each resource-usage factor being weighted by an age of the care-episode. 15. The method of claim 1, wherein each care-episode has an associated period of time. 16. The method of claim 1, wherein the client device is associated with the one or more physicians. 17. The method of claim 1, wherein a performance-score for a particular sub-concept group is based on the difference between an RVU cost of the sub-concept group for one physician, compared to an RVU cost of the sub-concept group for the peer-group of physicians. 18. The method of claim 1, wherein the performance-score for a particular base-concept comprises an aggregate of one or more individual performance-scores for one or more associated sub-concept groups. 19. One or more non-transitory, computer-readable storage media embodying software that is operable when executed to:
receive an indication of one or more care-episodes from a client device, wherein each care-episode comprises:
an identifier for one or more physicians;
a base-concept;
one or more sub-concepts associated with the base-concept; and
a resource-usage factor;
calculate one or more cost-factors, each cost-factor being calculated for a particular physician and based at least in part on:
a particular base-concept;
one or more particular sub-concepts associated with the base-concept; and
one or more care-episodes associated with the particular base-concept and particular sub-concepts;
determine a specialty and geographic region of the particular physician; select a peer-group of physicians, the peer-group comprising a plurality of physicians having a common specialty and geographic region as the particular physician; and calculate a performance-score for the particular physician with respect to the particular base-concept based at least in part on the cost-factor of the particular physician and an average cost factor for the peer-group. 20. A system comprising: one or more processors; and a memory coupled to the processors comprising instructions executable by the processors, the processors being operable when executing the instructions to:
receive an indication of one or more care-episodes from a client device, wherein each care-episode comprises:
an identifier for one or more physicians;
a base-concept;
one or more sub-concepts associated with the base-concept; and
a resource-usage factor;
calculate one or more cost-factors, each cost-factor being calculated for a particular physician and based at least in part on:
a particular base-concept;
one or more particular sub-concepts associated with the base-concept; and
one or more care-episodes associated with the particular base-concept and particular sub-concepts;
determine a specialty and geographic region of the particular physician; select a peer-group of physicians, the peer-group comprising a plurality of physicians having a common specialty and geographic region as the particular physician; and calculate a performance-score for the particular physician with respect to the particular base-concept based at least in part on the cost-factor of the particular physician and an average cost factor for the peer-group. | 3,600 |
13,602 | 13,602 | 14,668,682 | 3,626 | One embodiment of the present invention provides a system for generating healthcare suggestions. During operation, the system extracts data based on a user's communication, which can be between the user and other users or presented online by the user. The system identifies a health-related issue from the extracted data. The system then generates, based on the extracted data, content that indicates a first suggestion corresponding to the health-related issue. The system subsequently monitors the user's communication to generate an additional suggestion that is an improvement over the first suggestion. | 1. A computer-executable method for generating healthcare suggestions, comprising:
extracting, by a computer, data based on a user's communication, which can be between the user and other users or presented online by the user; identifying a health-related issue from the extracted data; generating, based on the extracted data, content that indicates a first suggestion corresponding to the health-related issue; and monitoring the user's communication to generate an additional suggestion that is an improvement over the first suggestion. 2. The method of claim 1, further comprising:
determining qualifications for a plurality of users that can be accessed through a crowdsourcing platform; soliciting feedback from the plurality of users regarding the health-related issue; receiving feedback from the plurality of users; generating, based on the feedback, suggested content for addressing the health-related issue; receiving input from one or more users for evaluating the suggested content to validate the suggested content; and storing validated suggestions in a validated suggestion storage. 3. The method of claim 2, further comprising:
presenting a candidate substitution to a user as conversational content; and receiving the user's vote on whether the user likes the candidate substitution. 4. The method of claim 1, wherein extracting data further comprises:
generating validated suggestions by identifying health problems and extracting solutions and health advice with ongoing monitoring of one of sensor data, website forums, instant messages, websites, and social media communication. 5. The method of claim 1, further comprising:
generating a healthcare question and posting the healthcare question on a website forum to solicit responses from forum users; monitoring responses to the healthcare question on the website forum; and generating a suggested solution addressing the healthcare question based on the responses to the posted healthcare question. 6. The method of claim 1, further comprising:
receiving a query from a user; executing the query to determine similarity matches for one or more pairs of webpages; displaying pairs of webpages with similarity matches that exceed a predetermined threshold; receiving user input to examine a pair of webpages and to edit recommended suggestions; and generating a validated suggestion based on the user input. 7. The method of claim 1, further comprising:
generating a program that provides one or more suggestions to perform actions affecting a health-related issue. 8. A computer-readable storage medium storing instructions that when executed by a computer cause the computer to perform a method for generating healthcare suggestions, the method comprising:
extracting, by a computer, data based on a user's communication, which can be between the user and other users or presented online by the user; identifying a health-related issue from the extracted data; generating, based on the extracted data, content that indicates a first suggestion corresponding to the health-related issue; and monitoring the user's communication to generate an additional suggestion that is an improvement over the first suggestion. 9. The computer-readable storage medium of claim 8, wherein the method further comprises:
determining qualifications for a plurality of users that can be accessed through a crowdsourcing platform; soliciting feedback from the plurality of users regarding the health-related issue; receiving feedback from the plurality of users; generating, based on the feedback, suggested content for addressing the health-related issue; receiving input from one or more users for evaluating the suggested content to validate the suggested content; and storing validated suggestions in a validated suggestion storage. 10. The computer-readable storage medium of claim 8, wherein the method further comprises:
presenting a candidate substitution to a user as conversational content; and receiving the user's vote on whether the user likes the candidate substitution. 11. The computer-readable storage medium of claim 8, wherein extracting data further comprises:
generating validated suggestions by identifying health problems and extracting solutions and health advice with ongoing monitoring of one of sensor data, website forums, instant messages, websites, and social media communication. 12. The computer-readable storage medium of claim 8, wherein the method further comprises:
generating a healthcare question and posting the healthcare question on a website forum to solicit responses from forum users; monitoring responses to the healthcare question on the website forum; and generating a suggested solution addressing the healthcare question based on the responses to the posted healthcare question. 13. The computer-readable storage medium of claim 8, wherein the method further comprises:
receiving a query from a user; executing the query to determine similarity matches for one or more pairs of webpages; displaying pairs of webpages with similarity matches that exceed a predetermined threshold; receiving user input to examine a pair of webpages and to edit recommended suggestions; and generating a validated suggestion based on the user input. 14. The computer-readable storage medium of claim 8, wherein the method further comprises:
generating a program that provides one or more suggestions to perform actions affecting a health-related issue. 15. A computing system for generating healthcare suggestions, the system comprising:
one or more processors, a computer-readable medium coupled to the one or more processors having instructions stored thereon that, when executed by the one or more processors, cause the one or more processors to perform operations comprising: extracting, by a computer, data based on a user's communication, which can be between the user and other users or presented online by the user; identify a health-related issue from the extracted data; generating, based on the extracted data, content that indicates a first suggestion corresponding to the health-related issue; and monitoring the user's communication to generate an additional suggestion that is an improvement over the first suggestion. 16. The computing system of claim 15, wherein the operations further comprise:
determining qualifications for a plurality of users that can be accessed through a crowdsourcing platform; soliciting feedback from the plurality of users regarding the health-related issue; receiving feedback from the plurality of users; generating, based on the feedback, suggested content for addressing the health-related issue; receiving input from one or more users for evaluating the suggested content to validate the suggested content; and storing validated suggestions in a validated suggestion storage. 17. The computing system of claim 15, wherein the operations further comprise:
presenting a candidate substitution to a user as conversational content; and receiving the user's vote on whether the user likes the candidate substitution. 18. The computing system of claim 15, wherein the operations further comprise:
generating validated suggestions by identifying health problems and extracting solutions and health advice with ongoing monitoring of one of sensor data, website forums, instant messages, websites, and social media communication. 19. The computing system claim 15, wherein the operations further comprise:
generating a healthcare question and posting the healthcare question on a website forum to solicit responses from forum users; monitoring responses to the healthcare question on the website forum; and generating a suggested solution addressing the healthcare question based on the responses to the posted healthcare question. 20. The computing system of claim 15, wherein the operations further comprise:
receiving a query from a user; executing the query to determine similarity matches for one or more pairs of webpages; displaying pairs of webpages with similarity matches that exceed a predetermined threshold; receiving user input to examine a pair of webpages and to edit recommended suggestions; and generating a validated suggestion based on the user input. | One embodiment of the present invention provides a system for generating healthcare suggestions. During operation, the system extracts data based on a user's communication, which can be between the user and other users or presented online by the user. The system identifies a health-related issue from the extracted data. The system then generates, based on the extracted data, content that indicates a first suggestion corresponding to the health-related issue. The system subsequently monitors the user's communication to generate an additional suggestion that is an improvement over the first suggestion.1. A computer-executable method for generating healthcare suggestions, comprising:
extracting, by a computer, data based on a user's communication, which can be between the user and other users or presented online by the user; identifying a health-related issue from the extracted data; generating, based on the extracted data, content that indicates a first suggestion corresponding to the health-related issue; and monitoring the user's communication to generate an additional suggestion that is an improvement over the first suggestion. 2. The method of claim 1, further comprising:
determining qualifications for a plurality of users that can be accessed through a crowdsourcing platform; soliciting feedback from the plurality of users regarding the health-related issue; receiving feedback from the plurality of users; generating, based on the feedback, suggested content for addressing the health-related issue; receiving input from one or more users for evaluating the suggested content to validate the suggested content; and storing validated suggestions in a validated suggestion storage. 3. The method of claim 2, further comprising:
presenting a candidate substitution to a user as conversational content; and receiving the user's vote on whether the user likes the candidate substitution. 4. The method of claim 1, wherein extracting data further comprises:
generating validated suggestions by identifying health problems and extracting solutions and health advice with ongoing monitoring of one of sensor data, website forums, instant messages, websites, and social media communication. 5. The method of claim 1, further comprising:
generating a healthcare question and posting the healthcare question on a website forum to solicit responses from forum users; monitoring responses to the healthcare question on the website forum; and generating a suggested solution addressing the healthcare question based on the responses to the posted healthcare question. 6. The method of claim 1, further comprising:
receiving a query from a user; executing the query to determine similarity matches for one or more pairs of webpages; displaying pairs of webpages with similarity matches that exceed a predetermined threshold; receiving user input to examine a pair of webpages and to edit recommended suggestions; and generating a validated suggestion based on the user input. 7. The method of claim 1, further comprising:
generating a program that provides one or more suggestions to perform actions affecting a health-related issue. 8. A computer-readable storage medium storing instructions that when executed by a computer cause the computer to perform a method for generating healthcare suggestions, the method comprising:
extracting, by a computer, data based on a user's communication, which can be between the user and other users or presented online by the user; identifying a health-related issue from the extracted data; generating, based on the extracted data, content that indicates a first suggestion corresponding to the health-related issue; and monitoring the user's communication to generate an additional suggestion that is an improvement over the first suggestion. 9. The computer-readable storage medium of claim 8, wherein the method further comprises:
determining qualifications for a plurality of users that can be accessed through a crowdsourcing platform; soliciting feedback from the plurality of users regarding the health-related issue; receiving feedback from the plurality of users; generating, based on the feedback, suggested content for addressing the health-related issue; receiving input from one or more users for evaluating the suggested content to validate the suggested content; and storing validated suggestions in a validated suggestion storage. 10. The computer-readable storage medium of claim 8, wherein the method further comprises:
presenting a candidate substitution to a user as conversational content; and receiving the user's vote on whether the user likes the candidate substitution. 11. The computer-readable storage medium of claim 8, wherein extracting data further comprises:
generating validated suggestions by identifying health problems and extracting solutions and health advice with ongoing monitoring of one of sensor data, website forums, instant messages, websites, and social media communication. 12. The computer-readable storage medium of claim 8, wherein the method further comprises:
generating a healthcare question and posting the healthcare question on a website forum to solicit responses from forum users; monitoring responses to the healthcare question on the website forum; and generating a suggested solution addressing the healthcare question based on the responses to the posted healthcare question. 13. The computer-readable storage medium of claim 8, wherein the method further comprises:
receiving a query from a user; executing the query to determine similarity matches for one or more pairs of webpages; displaying pairs of webpages with similarity matches that exceed a predetermined threshold; receiving user input to examine a pair of webpages and to edit recommended suggestions; and generating a validated suggestion based on the user input. 14. The computer-readable storage medium of claim 8, wherein the method further comprises:
generating a program that provides one or more suggestions to perform actions affecting a health-related issue. 15. A computing system for generating healthcare suggestions, the system comprising:
one or more processors, a computer-readable medium coupled to the one or more processors having instructions stored thereon that, when executed by the one or more processors, cause the one or more processors to perform operations comprising: extracting, by a computer, data based on a user's communication, which can be between the user and other users or presented online by the user; identify a health-related issue from the extracted data; generating, based on the extracted data, content that indicates a first suggestion corresponding to the health-related issue; and monitoring the user's communication to generate an additional suggestion that is an improvement over the first suggestion. 16. The computing system of claim 15, wherein the operations further comprise:
determining qualifications for a plurality of users that can be accessed through a crowdsourcing platform; soliciting feedback from the plurality of users regarding the health-related issue; receiving feedback from the plurality of users; generating, based on the feedback, suggested content for addressing the health-related issue; receiving input from one or more users for evaluating the suggested content to validate the suggested content; and storing validated suggestions in a validated suggestion storage. 17. The computing system of claim 15, wherein the operations further comprise:
presenting a candidate substitution to a user as conversational content; and receiving the user's vote on whether the user likes the candidate substitution. 18. The computing system of claim 15, wherein the operations further comprise:
generating validated suggestions by identifying health problems and extracting solutions and health advice with ongoing monitoring of one of sensor data, website forums, instant messages, websites, and social media communication. 19. The computing system claim 15, wherein the operations further comprise:
generating a healthcare question and posting the healthcare question on a website forum to solicit responses from forum users; monitoring responses to the healthcare question on the website forum; and generating a suggested solution addressing the healthcare question based on the responses to the posted healthcare question. 20. The computing system of claim 15, wherein the operations further comprise:
receiving a query from a user; executing the query to determine similarity matches for one or more pairs of webpages; displaying pairs of webpages with similarity matches that exceed a predetermined threshold; receiving user input to examine a pair of webpages and to edit recommended suggestions; and generating a validated suggestion based on the user input. | 3,600 |
13,603 | 13,603 | 14,520,488 | 3,677 | A system for attaching layers of a material stack-up of at least three layers together using rivets alternatingly place on each side of the stack-up is disclosed. The system includes a material stack-up comprising an upper layer, an intermediate layer and a lower layer, a first rivet attaching the upper layer and the intermediate layer, and a second rivet attaching the lower layer and the intermediate layer. The first rivet attaches the upper layer to the intermediate layer through the upper layer and the second rivet attaches the lower layer to the intermediate layer through the lower layer. The first and second rivets are alternatingly positioned in a spaced apart relationship. The rivets are selected from the group consisting of self-piercing rivets, blind rivets and solid rivets. When self-piercing rivets are used, the first rivet includes rivet tail and the second rivet includes rivet tail. | 1. A system for attaching layers of material together comprising:
a material stack-up comprising an upper layer, an intermediate layer and a lower layer; a first rivet attaching said upper and said intermediate layers; a second rivet attaching said lower and said intermediate layers, said first rivet attaching said upper layer to said intermediate layer through said upper layer and said second rivet attaching said lower layer to said intermediate layer through said lower layer. 2. The system for attaching layers of material together of claim 1 wherein said first and second rivets are alternatingly positioned in a spaced apart relationship. 3. The system for attaching layers of material together of claim 1 wherein said first rivet includes rivet tail and said second rivet includes rivet tail and wherein said rivets are alternatingly positioned such that said tall of said first rivet are adjacent said tail of said second rivet when said layers of material are attached by said rivets. 4. The system for attaching layers of material together of claim 1 wherein at least one of said first and second rivets is a self-piercing rivet. 5. The system for attaching layers of material together of claim 1 wherein at least one of said first and second rivets is a blind rivet. 6. The system for attaching layers of material together of claim 1 wherein at least one of said first and second rivets is a solid rivet. 7. The system for attaching layers of material together of claim 1 further including adhesive between at least two of said layers. 8. A system for attaching layers of material together comprising:
a material stack-up comprising an upper layer, a lower layer and an intermediate layer between said upper and lower layers; a first rivet attaching said upper layer and said intermediate layer; and a second rivet attaching said lower layer and said intermediate layer. 9. The system for attaching layers of material together of claim 8 wherein said upper layer is on a first side of said stack-up and said lower layer is on a second side of said stack-up, said first rivet attaching said upper layer to said intermediate layer through said first side and said second rivet attaching said lower layer to said intermediate layer through said second side. 10. The system for attaching layers of material together of claim 9 wherein said first and second rivets are alternatingly positioned in a spaced apart relationship. 11. The system for attaching layers of material together of claim 9 wherein said first rivet includes a rivet tail and said second rivet includes a rivet tail and wherein said rivets are alternatingly positioned such that said tail of said first rivet are adjacent said tail of said second rivet when said layers of material are attached by said rivets. 12. The system for attaching layers of material together of claim 9 wherein said first and second rivets are selected from the group consisting of self-piercing rivets, blind rivets and solid rivets. 13. The system for attaching layers of material together of claim 9 wherein at least one of said first and second rivets is a self-piercing rivet. 14. The system for attaching layers of material together of claim 9 wherein at least one of said first and second rivets is a blind rivet. 15. The system for attaching layers of material together of claim 9 wherein at least one of said first and second rivets is a solid rivet. 16. The system for attaching layers of material together of claim 8 further including adhesive between at least two of said layers. 17. A system for attaching layers of material together comprising:
a material stack-up comprising a first layer having an outer side and a second layer having an outer side; an intermediate layer between said first and second layers: a first rivet inserted through said first layer and into said intermediate layer: a second rivet inserted through said second layer and into said intermediate layer, said first and second rivets being alternatingly positioned. 18. The system for attaching layers of material together according to claim 17 wherein said first rivet includes a rivet tail and said second rivet includes a rivet tail and wherein said rivets are alternatingly positioned such that said tail of said first rivet are adjacent said tail of said second rivet when said layers of material are attached by said rivets. 19. The system for attaching layers of material together of claim 17 wherein said first and second rivets are selected from the group consisting of self-piercing rivets, blind rivets and solid rivets. 20. The system for attaching layers of material together of claim 17 further including adhesive between at least two of said layers. | A system for attaching layers of a material stack-up of at least three layers together using rivets alternatingly place on each side of the stack-up is disclosed. The system includes a material stack-up comprising an upper layer, an intermediate layer and a lower layer, a first rivet attaching the upper layer and the intermediate layer, and a second rivet attaching the lower layer and the intermediate layer. The first rivet attaches the upper layer to the intermediate layer through the upper layer and the second rivet attaches the lower layer to the intermediate layer through the lower layer. The first and second rivets are alternatingly positioned in a spaced apart relationship. The rivets are selected from the group consisting of self-piercing rivets, blind rivets and solid rivets. When self-piercing rivets are used, the first rivet includes rivet tail and the second rivet includes rivet tail.1. A system for attaching layers of material together comprising:
a material stack-up comprising an upper layer, an intermediate layer and a lower layer; a first rivet attaching said upper and said intermediate layers; a second rivet attaching said lower and said intermediate layers, said first rivet attaching said upper layer to said intermediate layer through said upper layer and said second rivet attaching said lower layer to said intermediate layer through said lower layer. 2. The system for attaching layers of material together of claim 1 wherein said first and second rivets are alternatingly positioned in a spaced apart relationship. 3. The system for attaching layers of material together of claim 1 wherein said first rivet includes rivet tail and said second rivet includes rivet tail and wherein said rivets are alternatingly positioned such that said tall of said first rivet are adjacent said tail of said second rivet when said layers of material are attached by said rivets. 4. The system for attaching layers of material together of claim 1 wherein at least one of said first and second rivets is a self-piercing rivet. 5. The system for attaching layers of material together of claim 1 wherein at least one of said first and second rivets is a blind rivet. 6. The system for attaching layers of material together of claim 1 wherein at least one of said first and second rivets is a solid rivet. 7. The system for attaching layers of material together of claim 1 further including adhesive between at least two of said layers. 8. A system for attaching layers of material together comprising:
a material stack-up comprising an upper layer, a lower layer and an intermediate layer between said upper and lower layers; a first rivet attaching said upper layer and said intermediate layer; and a second rivet attaching said lower layer and said intermediate layer. 9. The system for attaching layers of material together of claim 8 wherein said upper layer is on a first side of said stack-up and said lower layer is on a second side of said stack-up, said first rivet attaching said upper layer to said intermediate layer through said first side and said second rivet attaching said lower layer to said intermediate layer through said second side. 10. The system for attaching layers of material together of claim 9 wherein said first and second rivets are alternatingly positioned in a spaced apart relationship. 11. The system for attaching layers of material together of claim 9 wherein said first rivet includes a rivet tail and said second rivet includes a rivet tail and wherein said rivets are alternatingly positioned such that said tail of said first rivet are adjacent said tail of said second rivet when said layers of material are attached by said rivets. 12. The system for attaching layers of material together of claim 9 wherein said first and second rivets are selected from the group consisting of self-piercing rivets, blind rivets and solid rivets. 13. The system for attaching layers of material together of claim 9 wherein at least one of said first and second rivets is a self-piercing rivet. 14. The system for attaching layers of material together of claim 9 wherein at least one of said first and second rivets is a blind rivet. 15. The system for attaching layers of material together of claim 9 wherein at least one of said first and second rivets is a solid rivet. 16. The system for attaching layers of material together of claim 8 further including adhesive between at least two of said layers. 17. A system for attaching layers of material together comprising:
a material stack-up comprising a first layer having an outer side and a second layer having an outer side; an intermediate layer between said first and second layers: a first rivet inserted through said first layer and into said intermediate layer: a second rivet inserted through said second layer and into said intermediate layer, said first and second rivets being alternatingly positioned. 18. The system for attaching layers of material together according to claim 17 wherein said first rivet includes a rivet tail and said second rivet includes a rivet tail and wherein said rivets are alternatingly positioned such that said tail of said first rivet are adjacent said tail of said second rivet when said layers of material are attached by said rivets. 19. The system for attaching layers of material together of claim 17 wherein said first and second rivets are selected from the group consisting of self-piercing rivets, blind rivets and solid rivets. 20. The system for attaching layers of material together of claim 17 further including adhesive between at least two of said layers. | 3,600 |
13,604 | 13,604 | 12,848,279 | 3,627 | A roadside equipment (RSE) system that can be used for controlling traffic signals and other equipment and corresponding method. A method includes wirelessly receiving vehicle data by an RSE system and from an onboard equipment (OBE) system connected to a vehicle. The vehicle data includes location data, time data, and vehicle identification data related to the vehicle. The method includes determining a most recent location of the vehicle by the RSE system and from the vehicle data, comparing the most recent location of the vehicle to a previous location of the vehicle, and producing a control signal based on the comparison. | 1. A method for traffic control, comprising:
wirelessly receiving vehicle data by a roadside equipment (RSE) system and from an onboard equipment (OBE) system connected to a vehicle, the vehicle data including location data, time data, and vehicle identification data related to the vehicle; determining a most recent location of the vehicle by the RSE system and from the vehicle data; comparing the most recent location of the vehicle to a previous location of the vehicle; and producing a control signal based on the comparison. 2. The method of claim 1, wherein the vehicle data includes first vehicle data and second vehicle data, the first vehicle data indicating location data and time data for the previous location and the second vehicle data indicating location data and time data for the most recent location. 3. The method of claim 1, wherein comparing the most recent location of the vehicle to a previous location of the vehicle includes comparing first vehicle data received at a first time with second vehicle data received at a subsequent time, the first vehicle data and second vehicle data having the same vehicle identification data. 4. The method of claim 1, wherein the control signal is used to control the operation of traffic equipment. 5. The method of claim 1, wherein if most recent location of the vehicle is within a detection zone, the control signal switches a signal controller detector input of an RSE control system. 6. The method of claim 1, wherein the method is performed repeatedly and simultaneously as additional vehicle data is received. 7. The method of claim 1, wherein as additional vehicle data is received, at least some older vehicle data with the same vehicle identifier is discarded. 8. The method of claim 1, wherein the vehicle data also includes vehicle speed information. 9. The method of claim 1, wherein the RSE system also determines an estimated time of arrival of a vehicle indicated by the vehicle identifier to a base location. 10. The method of claim 9, wherein the estimated time of arrival is determined according to the distance between the most recent vehicle location and a vehicle speed. 11. The method of claim 9, wherein the control signal controls traffic equipment based in part on the estimated time of arrival. 12. The method of claim 1, wherein the OBE system includes a global positioning system receiver and a wireless transmitter capable of communicating with the RSE system. 13. The method of claim 1, wherein the control signal is also based on a vehicle priority. 14. The method of claim 1, wherein the control signal is also based on traffic conditions. 15. A roadside equipment (RSE) system comprising at least a processor and a wireless receiver, the RSE system configured to perform the steps of:
wirelessly receiving vehicle data by the wireless receiver from an onboard equipment (OBE) system connected to a vehicle, the vehicle data including location data, time data, and vehicle identification data related to the vehicle; determining a most recent location of the vehicle by the processor and from the vehicle data; comparing the most recent location of the vehicle to a previous location of the vehicle by the processor; and producing a control signal based on the comparison. 16. The RSE system of claim 15, wherein the vehicle data includes first vehicle data and second vehicle data, the first vehicle data indicating location data and time data for the previous location and the second vehicle data indicating location data and time data for the most recent location. 17. The RSE system of claim 15, wherein comparing the most recent location of the vehicle to a previous location of the vehicle includes comparing first vehicle data received at a first time with second vehicle data received at a subsequent time, the first vehicle data and second vehicle data having the same vehicle identification data. 18. The RSE system of claim 15, wherein the control signal is used to control the operation of traffic equipment. 19. The RSE system of claim 15, wherein if most recent location of the vehicle is within a detection zone, the control signal switches a signal controller detector input of a control system. 20. The RSE system of claim 15, wherein the vehicle data also includes vehicle speed information. 21. The RSE system of claim 15, wherein the RSE system is also configured to perform the step of determining an estimated time of arrival of a vehicle indicated by the vehicle identifier to a base location and to control traffic equipment based in part on the estimated time of arrival. 22. The RSE system of claim 15, wherein the OBE system includes a global positioning system receiver and a wireless transmitter capable of communicating with the RSE system. 23. The RSE system of claim 15, wherein the control signal is also based on a vehicle priority. 24. The RSE system of claim 15, wherein the control signal is also based on traffic conditions. | A roadside equipment (RSE) system that can be used for controlling traffic signals and other equipment and corresponding method. A method includes wirelessly receiving vehicle data by an RSE system and from an onboard equipment (OBE) system connected to a vehicle. The vehicle data includes location data, time data, and vehicle identification data related to the vehicle. The method includes determining a most recent location of the vehicle by the RSE system and from the vehicle data, comparing the most recent location of the vehicle to a previous location of the vehicle, and producing a control signal based on the comparison.1. A method for traffic control, comprising:
wirelessly receiving vehicle data by a roadside equipment (RSE) system and from an onboard equipment (OBE) system connected to a vehicle, the vehicle data including location data, time data, and vehicle identification data related to the vehicle; determining a most recent location of the vehicle by the RSE system and from the vehicle data; comparing the most recent location of the vehicle to a previous location of the vehicle; and producing a control signal based on the comparison. 2. The method of claim 1, wherein the vehicle data includes first vehicle data and second vehicle data, the first vehicle data indicating location data and time data for the previous location and the second vehicle data indicating location data and time data for the most recent location. 3. The method of claim 1, wherein comparing the most recent location of the vehicle to a previous location of the vehicle includes comparing first vehicle data received at a first time with second vehicle data received at a subsequent time, the first vehicle data and second vehicle data having the same vehicle identification data. 4. The method of claim 1, wherein the control signal is used to control the operation of traffic equipment. 5. The method of claim 1, wherein if most recent location of the vehicle is within a detection zone, the control signal switches a signal controller detector input of an RSE control system. 6. The method of claim 1, wherein the method is performed repeatedly and simultaneously as additional vehicle data is received. 7. The method of claim 1, wherein as additional vehicle data is received, at least some older vehicle data with the same vehicle identifier is discarded. 8. The method of claim 1, wherein the vehicle data also includes vehicle speed information. 9. The method of claim 1, wherein the RSE system also determines an estimated time of arrival of a vehicle indicated by the vehicle identifier to a base location. 10. The method of claim 9, wherein the estimated time of arrival is determined according to the distance between the most recent vehicle location and a vehicle speed. 11. The method of claim 9, wherein the control signal controls traffic equipment based in part on the estimated time of arrival. 12. The method of claim 1, wherein the OBE system includes a global positioning system receiver and a wireless transmitter capable of communicating with the RSE system. 13. The method of claim 1, wherein the control signal is also based on a vehicle priority. 14. The method of claim 1, wherein the control signal is also based on traffic conditions. 15. A roadside equipment (RSE) system comprising at least a processor and a wireless receiver, the RSE system configured to perform the steps of:
wirelessly receiving vehicle data by the wireless receiver from an onboard equipment (OBE) system connected to a vehicle, the vehicle data including location data, time data, and vehicle identification data related to the vehicle; determining a most recent location of the vehicle by the processor and from the vehicle data; comparing the most recent location of the vehicle to a previous location of the vehicle by the processor; and producing a control signal based on the comparison. 16. The RSE system of claim 15, wherein the vehicle data includes first vehicle data and second vehicle data, the first vehicle data indicating location data and time data for the previous location and the second vehicle data indicating location data and time data for the most recent location. 17. The RSE system of claim 15, wherein comparing the most recent location of the vehicle to a previous location of the vehicle includes comparing first vehicle data received at a first time with second vehicle data received at a subsequent time, the first vehicle data and second vehicle data having the same vehicle identification data. 18. The RSE system of claim 15, wherein the control signal is used to control the operation of traffic equipment. 19. The RSE system of claim 15, wherein if most recent location of the vehicle is within a detection zone, the control signal switches a signal controller detector input of a control system. 20. The RSE system of claim 15, wherein the vehicle data also includes vehicle speed information. 21. The RSE system of claim 15, wherein the RSE system is also configured to perform the step of determining an estimated time of arrival of a vehicle indicated by the vehicle identifier to a base location and to control traffic equipment based in part on the estimated time of arrival. 22. The RSE system of claim 15, wherein the OBE system includes a global positioning system receiver and a wireless transmitter capable of communicating with the RSE system. 23. The RSE system of claim 15, wherein the control signal is also based on a vehicle priority. 24. The RSE system of claim 15, wherein the control signal is also based on traffic conditions. | 3,600 |
13,605 | 13,605 | 14,293,918 | 3,626 | A system is described for rendering normalized medical service provider data records by transforming received input records from a variety of sources into standardized medical service provider data records. The system digests a resource containing multiple data points to render a mapping between individually identifiable parts of the data points and normalized data types handled by data type-specific parsers. A matching operation is performed, on parsed data points, wherein individual ones of the set of parsed data points are matched to an identified entry on an authoritative listing. During the matching an algorithmic match is attempted by assigning a match score based upon a type of transformation on a parsed data point value, of a data point instance of the set of parsed data points, to render a match between the parsed data point value and an entry within an authoritative data listing. | 1. A method for transforming, by a computer system configured to implement a medical service provider data processing engine including a processor and computer-readable medium including computer-executable instructions for, received input medical service provider data records from a variety of medical service provider data sources into standardized medical service provider data records for storage on a medical service provider database, the method comprising:
importing, by the data processing engine, a received resource containing multiple data points, wherein during the importing, the received resource is digested to render a mapping between individually identifiable parts of the multiple data points and normalized data types handled by a parser of a set of data type-specific parsers configured on the data processing engine; designating, based upon the mapping by the data processing engine during the importing, one of the data type-specific parsers for each of the multiple data points; parsing, by the data processing engine, the multiple data points using a designated one of the set of data-type specific parsers to render a set of parsed data points; matching, by the data processing engine, individual ones of the set of parsed data points to an authoritative data listing entry, wherein during the matching an algorithmic match is attempted by assigning a match score based upon a type of transformation on a parsed data point value, of a data point instance of the set of parsed data points, to render a match between the parsed data point value and an entry within the authoritative data listing; scoring, by the data processing engine, transformations of the parsed data point value that match an entry of the authoritative database to render a set of transformation match scores; and determining, by the data processing engine, a transformation of the parsed data point value having a highest scoring transformation match of the set of transformation match scores to render a winning parsed data point value; and exporting the winning parsed data point value to a database of processed medical service provider data. 2. The method of claim 1 wherein the algorithmic match is carried out during a name matching operation for a medical service provider entity. 3. The method of claim 1 wherein the algorithmic match is carried out during a specialties matching operation for a medical service provider entity. 4. The method of claim 1 wherein the algorithmic match is carried out during a credentials matching operation for a medical service provider entity. 5. The method of claim 1 wherein during the parsing, a helper parser is invoked to extract supplemental data from a data point field differing from a data point field currently being processed by a designated parser for a data point of the multiple data points. 6. The method of claim 5, wherein the helper parser provides information for completing a school name based upon provider title information. 7. The method of claim 5, wherein the helper parser provides information for completing a hospital name based upon a provider practice address. 8. The method of claim 5 wherein the helper parser provides information for completing a provider entity title based upon a provider license string. 9. The method of claim 5 wherein the helper parser provides information for completing practice specialty based upon provider associations. 10. A non-transitory computer-readable medium including computer-executable instructions for transforming, when executed on a computer system configured to implement a medical service provider data processing engine, received input medical service provider data records from a variety of medical service provider data sources into standardized medical service provider data records for storage on a medical service provider database, the computer-executable instructions, when executed on the computer system, facilitating performing a method comprising:
importing, by the data processing engine, a received resource containing multiple data points, wherein during the importing, the received resource is digested to render a mapping between individually identifiable parts of the multiple data points and normalized data types handled by a parser of a set of data type-specific parsers configured on the data processing engine; designating, based upon the mapping by the data processing engine during the importing, one of the data type-specific parsers for each of the multiple data points; parsing, by the data processing engine, the multiple data points using a designated one of the set of data-type specific parsers to render a set of parsed data points; matching, by the data processing engine, individual ones of the set of parsed data points to an authoritative data listing entry, wherein during the matching an algorithmic match is attempted by assigning a match score based upon a type of transformation on a parsed data point value, of a data point instance of the set of parsed data points, to render a match between the parsed data point value and an entry within the authoritative data listing; scoring, by the data processing engine, transformations of the parsed data point value that match an entry of the authoritative database to render a set of transformation match scores; and determining, by the data processing engine, a transformation of the parsed data point value having a highest scoring transformation match of the set of transformation match scores to render a winning parsed data point value; and exporting the winning parsed data point value to a database of processed medical service provider data. 11. The non-transitory computer-readable medium of claim 10, wherein the algorithmic match is carried out during a name matching operation for a medical service provider entity. 12. The non-transitory computer-readable medium of claim 10, wherein the algorithmic match is carried out during a specialties matching operation for a medical service provider entity. 13. The non-transitory computer-readable medium of claim 10, wherein the algorithmic match is carried out during a credentials matching operation for a medical service provider entity. 14. The non-transitory computer-readable medium of claim 10, wherein during the parsing, a helper parser is invoked to extract supplemental data from a data point field differing from a data point field currently being processed by a designated parser for a data point of the multiple data points. 15. A system for transforming received input medical service provider data records from a variety of medical service provider data sources into standardized medical service provider data records for storage on a medical service provider database, the system comprising:
a programmed processor; and a computer readable medium including computer-executable instructions for configuring the programmed processor to implement a medical service provider data processing engine, the computer-readable medium including computer-executable instructions for facilitating, when executed by the programmed processor:
importing, by the data processing engine, a received resource containing multiple data points, wherein during the importing, the received resource is digested to render a mapping between individually identifiable parts of the multiple data points and normalized data types handled by a parser of a set of data type-specific parsers configured on the data processing engine;
designating, based upon the mapping by the data processing engine during the importing, one of the data type-specific parsers for each of the multiple data points;
parsing, by the data processing engine, the multiple data points using a designated one of the set of data-type specific parsers to render a set of parsed data points;
matching, by the data processing engine, individual ones of the set of parsed data points to an authoritative data listing entry, wherein during the matching an algorithmic match is attempted by assigning a match score based upon a type of transformation on a parsed data point value, of a data point instance of the set of parsed data points, to render a match between the parsed data point value and an entry within the authoritative data listing;
scoring, by the data processing engine, transformations of the parsed data point value that match an entry of the authoritative database to render a set of transformation match scores; and
determining, by the data processing engine, a transformation of the parsed data point value having a highest scoring transformation match of the set of transformation match scores to render a winning parsed data point value; and
exporting the winning parsed data point value to a database of processed medical service provider data. 16. The system of claim 15 wherein the algorithmic match is carried out during a name matching operation for a medical service provider entity. 17. The system of claim 15 wherein the algorithmic match is carried out during a specialties matching operation for a medical service provider entity. 18. The system of claim 15 wherein the algorithmic match is carried out during a credentials matching operation for a medical service provider entity. 19. The system of claim 15 wherein during the parsing, a helper parser is invoked to extract supplemental data from a data point field differing from a data point field currently being processed by a designated parser for a data point of the multiple data points. | A system is described for rendering normalized medical service provider data records by transforming received input records from a variety of sources into standardized medical service provider data records. The system digests a resource containing multiple data points to render a mapping between individually identifiable parts of the data points and normalized data types handled by data type-specific parsers. A matching operation is performed, on parsed data points, wherein individual ones of the set of parsed data points are matched to an identified entry on an authoritative listing. During the matching an algorithmic match is attempted by assigning a match score based upon a type of transformation on a parsed data point value, of a data point instance of the set of parsed data points, to render a match between the parsed data point value and an entry within an authoritative data listing.1. A method for transforming, by a computer system configured to implement a medical service provider data processing engine including a processor and computer-readable medium including computer-executable instructions for, received input medical service provider data records from a variety of medical service provider data sources into standardized medical service provider data records for storage on a medical service provider database, the method comprising:
importing, by the data processing engine, a received resource containing multiple data points, wherein during the importing, the received resource is digested to render a mapping between individually identifiable parts of the multiple data points and normalized data types handled by a parser of a set of data type-specific parsers configured on the data processing engine; designating, based upon the mapping by the data processing engine during the importing, one of the data type-specific parsers for each of the multiple data points; parsing, by the data processing engine, the multiple data points using a designated one of the set of data-type specific parsers to render a set of parsed data points; matching, by the data processing engine, individual ones of the set of parsed data points to an authoritative data listing entry, wherein during the matching an algorithmic match is attempted by assigning a match score based upon a type of transformation on a parsed data point value, of a data point instance of the set of parsed data points, to render a match between the parsed data point value and an entry within the authoritative data listing; scoring, by the data processing engine, transformations of the parsed data point value that match an entry of the authoritative database to render a set of transformation match scores; and determining, by the data processing engine, a transformation of the parsed data point value having a highest scoring transformation match of the set of transformation match scores to render a winning parsed data point value; and exporting the winning parsed data point value to a database of processed medical service provider data. 2. The method of claim 1 wherein the algorithmic match is carried out during a name matching operation for a medical service provider entity. 3. The method of claim 1 wherein the algorithmic match is carried out during a specialties matching operation for a medical service provider entity. 4. The method of claim 1 wherein the algorithmic match is carried out during a credentials matching operation for a medical service provider entity. 5. The method of claim 1 wherein during the parsing, a helper parser is invoked to extract supplemental data from a data point field differing from a data point field currently being processed by a designated parser for a data point of the multiple data points. 6. The method of claim 5, wherein the helper parser provides information for completing a school name based upon provider title information. 7. The method of claim 5, wherein the helper parser provides information for completing a hospital name based upon a provider practice address. 8. The method of claim 5 wherein the helper parser provides information for completing a provider entity title based upon a provider license string. 9. The method of claim 5 wherein the helper parser provides information for completing practice specialty based upon provider associations. 10. A non-transitory computer-readable medium including computer-executable instructions for transforming, when executed on a computer system configured to implement a medical service provider data processing engine, received input medical service provider data records from a variety of medical service provider data sources into standardized medical service provider data records for storage on a medical service provider database, the computer-executable instructions, when executed on the computer system, facilitating performing a method comprising:
importing, by the data processing engine, a received resource containing multiple data points, wherein during the importing, the received resource is digested to render a mapping between individually identifiable parts of the multiple data points and normalized data types handled by a parser of a set of data type-specific parsers configured on the data processing engine; designating, based upon the mapping by the data processing engine during the importing, one of the data type-specific parsers for each of the multiple data points; parsing, by the data processing engine, the multiple data points using a designated one of the set of data-type specific parsers to render a set of parsed data points; matching, by the data processing engine, individual ones of the set of parsed data points to an authoritative data listing entry, wherein during the matching an algorithmic match is attempted by assigning a match score based upon a type of transformation on a parsed data point value, of a data point instance of the set of parsed data points, to render a match between the parsed data point value and an entry within the authoritative data listing; scoring, by the data processing engine, transformations of the parsed data point value that match an entry of the authoritative database to render a set of transformation match scores; and determining, by the data processing engine, a transformation of the parsed data point value having a highest scoring transformation match of the set of transformation match scores to render a winning parsed data point value; and exporting the winning parsed data point value to a database of processed medical service provider data. 11. The non-transitory computer-readable medium of claim 10, wherein the algorithmic match is carried out during a name matching operation for a medical service provider entity. 12. The non-transitory computer-readable medium of claim 10, wherein the algorithmic match is carried out during a specialties matching operation for a medical service provider entity. 13. The non-transitory computer-readable medium of claim 10, wherein the algorithmic match is carried out during a credentials matching operation for a medical service provider entity. 14. The non-transitory computer-readable medium of claim 10, wherein during the parsing, a helper parser is invoked to extract supplemental data from a data point field differing from a data point field currently being processed by a designated parser for a data point of the multiple data points. 15. A system for transforming received input medical service provider data records from a variety of medical service provider data sources into standardized medical service provider data records for storage on a medical service provider database, the system comprising:
a programmed processor; and a computer readable medium including computer-executable instructions for configuring the programmed processor to implement a medical service provider data processing engine, the computer-readable medium including computer-executable instructions for facilitating, when executed by the programmed processor:
importing, by the data processing engine, a received resource containing multiple data points, wherein during the importing, the received resource is digested to render a mapping between individually identifiable parts of the multiple data points and normalized data types handled by a parser of a set of data type-specific parsers configured on the data processing engine;
designating, based upon the mapping by the data processing engine during the importing, one of the data type-specific parsers for each of the multiple data points;
parsing, by the data processing engine, the multiple data points using a designated one of the set of data-type specific parsers to render a set of parsed data points;
matching, by the data processing engine, individual ones of the set of parsed data points to an authoritative data listing entry, wherein during the matching an algorithmic match is attempted by assigning a match score based upon a type of transformation on a parsed data point value, of a data point instance of the set of parsed data points, to render a match between the parsed data point value and an entry within the authoritative data listing;
scoring, by the data processing engine, transformations of the parsed data point value that match an entry of the authoritative database to render a set of transformation match scores; and
determining, by the data processing engine, a transformation of the parsed data point value having a highest scoring transformation match of the set of transformation match scores to render a winning parsed data point value; and
exporting the winning parsed data point value to a database of processed medical service provider data. 16. The system of claim 15 wherein the algorithmic match is carried out during a name matching operation for a medical service provider entity. 17. The system of claim 15 wherein the algorithmic match is carried out during a specialties matching operation for a medical service provider entity. 18. The system of claim 15 wherein the algorithmic match is carried out during a credentials matching operation for a medical service provider entity. 19. The system of claim 15 wherein during the parsing, a helper parser is invoked to extract supplemental data from a data point field differing from a data point field currently being processed by a designated parser for a data point of the multiple data points. | 3,600 |
13,606 | 13,606 | 14,539,497 | 3,689 | A method, computer program product, and/or hardware system optimizes regulatory compliance. An industry category for an enterprise is identified. A set of regulatory requirements for the industry category is stored in a database. The set of regulations are categorized by focus areas, summary requirements, and harmonized detailed requirements, wherein the focus areas describe components of regulatory requirements, wherein the summary requirements summarize each first tier subcomponent of the components of the regulatory requirements, and wherein the harmonized detailed requirements describe second tier subcomponents of each first tier component. Detailed requirements for each set of regulations are mapped to one or more of the focus areas, summary requirements, and harmonized detailed requirements. The detailed requirements are mapped to compliance resources. The compliance resources are executed to satisfy the detailed requirements. | 1. A method for optimizing regulatory compliance, the method comprising:
identifying, by one or more processors, an industry category for an enterprise; storing, by one or more processors, a set of regulatory requirements for the industry category in a database; categorizing, by one or more processors, the set of regulations by focus areas, summary requirements, and harmonized detailed requirements, wherein the focus areas describe components of regulatory requirements, wherein the summary requirements summarize each first tier subcomponent of the components of the regulatory requirements, and wherein the harmonized detailed requirements describe second tier subcomponents of each first tier component; mapping, by one or more processors, detailed requirements for each set of regulations to one or more of the focus areas, summary requirements, and harmonized detailed requirements; mapping, by one or more processors, the detailed requirements to compliance resources; and executing the compliance resources to satisfy the detailed requirements. 2. The method of claim 1, further comprising:
identifying, by one or more processors, any gaps between the detailed requirements and abilities of the compliance resources to satisfy the detailed requirements; and modifying the compliance resources to eliminate the gaps. 3. The method of claim 1, further comprising:
identifying, by one or more processors, any overlapping requirements in the set of regulatory requirements for the industry category; and generating, by one or more processors, a consolidated regulatory requirement that contains all requirements of the set of regulatory requirement with only a single instance of any overlapping requirement. 4. The method of claim 3, wherein overlapping requirements are caused by overlapping requirements from regulations in different governmental entities. 5. The method of claim 4, wherein the different governmental entities are different geopolitical entities. 6. The method of claim 1, further comprising:
receiving, by a processor, coded information that identifies what types of information technology resources are in use by the enterprise, wherein the coded information is transmitted to the processor directly from information technology resources that are in use by the enterprise; and identifying the industry category for the enterprise based on what types of information technology resources are in use by the enterprise. 7. The method of claim 1, further comprising:
receiving, by a processor, coded information that identifies supplies that are used by the enterprise, wherein the coded information is transmitted in computer-readable format directly to the processor; and identifying the industry category for the enterprise based on the supplies that are used by the enterprise. 8. The method of claim 1, further comprising:
receiving, by a processor, coded information that identifies a type of equipment that is in use by the enterprise, wherein the coded information is transmitted to the processor directly from equipment that is in use by the enterprise; and identifying the industry category for the enterprise based on the type of equipment that is in use by the enterprise. 9. The method of claim 1, further comprising:
receiving, by a processor, coded information that identifies job descriptions of employees of the enterprise, wherein the code information is in a computer-readable format that is interpretable only by the processor; and identifying the industry category for the enterprise based on the job descriptions of employees of the enterprise. 10. The method of claim 1, further comprising:
identifying the industry category for the enterprise according to the probability formula:
P
(
A
|
B
)
=
P
(
B
|
A
)
P
(
A
)
P
(
B
)
where:
P(A|B) is a probability that an enterprise is in a particular industry category (A) given that (|) the certain conditions exist within the enterprise (B);
P(B|A) is the probability that the certain conditions exist with the enterprise (B) given that (|) the enterprise is in the particular industry category (A);
P(A) is the probability that the enterprise is in the particular industry category regardless of any other information; and
P(B) is the probability that certain conditions will exist within the enterprise regardless of any other information. 11. A computer program product for optimizing regulatory compliance, the computer program product comprising a computer readable storage medium having program code embodied therewith, wherein the computer readable storage medium is not a transitory signal per se, and wherein the program code is readable and executable by a processor to perform a method comprising:
identifying an industry category for an enterprise; storing a set of regulatory requirements for the industry category in a database; categorizing the set of regulations by focus areas, summary requirements, and harmonized detailed requirements, wherein the focus areas describe components of regulatory requirements, wherein the summary requirements summarize each first tier subcomponent of the components of the regulatory requirements, and wherein the harmonized detailed requirements describe second tier subcomponents of each first tier component; mapping detailed requirements for each set of regulations to one or more of the focus areas, summary requirements, and harmonized detailed requirements; mapping the detailed requirements to compliance resources; and executing the compliance resources to satisfy the detailed requirements. 12. The computer program product of claim 11, wherein the method further comprises:
identifying any gaps between the detailed requirements and abilities of the compliance resources to satisfy the detailed requirements; and modifying the compliance resources to eliminate the gaps. 13. The computer program product of claim 11, wherein the method further comprises:
identifying any overlapping requirements in the set of regulatory requirements for the industry category; and generating a consolidated regulatory requirement that contains all requirements of the set of regulatory requirements with only a single instance of any overlapping requirement. 14. The computer program product of claim 13, wherein overlapping requirements are caused by overlapping requirements from regulations in different governmental entities. 15. The computer program product of claim 14, wherein the different governmental entities are different geopolitical entities. 16. The computer program product of claim 11, wherein the method further comprises:
receiving, by a processor, coded information that identifies what types of information technology resources are in use by the enterprise; and identifying the industry category for the enterprise based on what types of information technology resources are in use by the enterprise. 17. The computer program product of claim 11, wherein the method further comprises: receiving, by a processor, coded information that identifies supplies that are used by the enterprise; and
identifying the industry category for the enterprise based on the supplies that are used by the enterprise. 18. The computer program product of claim 11, wherein the method further comprises:
receiving, by a processor, coded information that identifies equipment that is in use by the enterprise; and identifying the industry category for the enterprise based on the equipment that is in use by the enterprise. 19. The computer program product of claim 11, wherein the method further comprises:
receiving, by a processor, coded information that identifies job descriptions of employees of the enterprise; and identifying the industry category for the enterprise based on the job descriptions of employees of the enterprise. 20. A hardware device comprising:
a hardware processor, a computer readable memory, and a computer readable storage medium; first program instructions to identify an industry category for an enterprise; second program instructions to store a set of regulatory requirements for the industry category in a database; third program instructions to categorize the set of regulations by focus areas, summary requirements, and harmonized detailed requirements, wherein the focus areas describe components of regulatory requirements, wherein the summary requirements summarize each first tier subcomponent of the components of the regulatory requirements, and wherein the harmonized detailed requirements describe second tier subcomponents of each first tier component; fourth program instructions to map detailed requirements for each set of regulations to one or more of the focus areas, summary requirements, and harmonized detailed requirements; fifth program instructions to map the detailed requirements to compliance resources; and sixth program instructions to execute the compliance resources to satisfy the detailed requirements; and wherein
the first, second, third, fourth, fifth, and sixth program instructions are stored on the computer readable storage medium and executed by the processor via the computer readable memory. | A method, computer program product, and/or hardware system optimizes regulatory compliance. An industry category for an enterprise is identified. A set of regulatory requirements for the industry category is stored in a database. The set of regulations are categorized by focus areas, summary requirements, and harmonized detailed requirements, wherein the focus areas describe components of regulatory requirements, wherein the summary requirements summarize each first tier subcomponent of the components of the regulatory requirements, and wherein the harmonized detailed requirements describe second tier subcomponents of each first tier component. Detailed requirements for each set of regulations are mapped to one or more of the focus areas, summary requirements, and harmonized detailed requirements. The detailed requirements are mapped to compliance resources. The compliance resources are executed to satisfy the detailed requirements.1. A method for optimizing regulatory compliance, the method comprising:
identifying, by one or more processors, an industry category for an enterprise; storing, by one or more processors, a set of regulatory requirements for the industry category in a database; categorizing, by one or more processors, the set of regulations by focus areas, summary requirements, and harmonized detailed requirements, wherein the focus areas describe components of regulatory requirements, wherein the summary requirements summarize each first tier subcomponent of the components of the regulatory requirements, and wherein the harmonized detailed requirements describe second tier subcomponents of each first tier component; mapping, by one or more processors, detailed requirements for each set of regulations to one or more of the focus areas, summary requirements, and harmonized detailed requirements; mapping, by one or more processors, the detailed requirements to compliance resources; and executing the compliance resources to satisfy the detailed requirements. 2. The method of claim 1, further comprising:
identifying, by one or more processors, any gaps between the detailed requirements and abilities of the compliance resources to satisfy the detailed requirements; and modifying the compliance resources to eliminate the gaps. 3. The method of claim 1, further comprising:
identifying, by one or more processors, any overlapping requirements in the set of regulatory requirements for the industry category; and generating, by one or more processors, a consolidated regulatory requirement that contains all requirements of the set of regulatory requirement with only a single instance of any overlapping requirement. 4. The method of claim 3, wherein overlapping requirements are caused by overlapping requirements from regulations in different governmental entities. 5. The method of claim 4, wherein the different governmental entities are different geopolitical entities. 6. The method of claim 1, further comprising:
receiving, by a processor, coded information that identifies what types of information technology resources are in use by the enterprise, wherein the coded information is transmitted to the processor directly from information technology resources that are in use by the enterprise; and identifying the industry category for the enterprise based on what types of information technology resources are in use by the enterprise. 7. The method of claim 1, further comprising:
receiving, by a processor, coded information that identifies supplies that are used by the enterprise, wherein the coded information is transmitted in computer-readable format directly to the processor; and identifying the industry category for the enterprise based on the supplies that are used by the enterprise. 8. The method of claim 1, further comprising:
receiving, by a processor, coded information that identifies a type of equipment that is in use by the enterprise, wherein the coded information is transmitted to the processor directly from equipment that is in use by the enterprise; and identifying the industry category for the enterprise based on the type of equipment that is in use by the enterprise. 9. The method of claim 1, further comprising:
receiving, by a processor, coded information that identifies job descriptions of employees of the enterprise, wherein the code information is in a computer-readable format that is interpretable only by the processor; and identifying the industry category for the enterprise based on the job descriptions of employees of the enterprise. 10. The method of claim 1, further comprising:
identifying the industry category for the enterprise according to the probability formula:
P
(
A
|
B
)
=
P
(
B
|
A
)
P
(
A
)
P
(
B
)
where:
P(A|B) is a probability that an enterprise is in a particular industry category (A) given that (|) the certain conditions exist within the enterprise (B);
P(B|A) is the probability that the certain conditions exist with the enterprise (B) given that (|) the enterprise is in the particular industry category (A);
P(A) is the probability that the enterprise is in the particular industry category regardless of any other information; and
P(B) is the probability that certain conditions will exist within the enterprise regardless of any other information. 11. A computer program product for optimizing regulatory compliance, the computer program product comprising a computer readable storage medium having program code embodied therewith, wherein the computer readable storage medium is not a transitory signal per se, and wherein the program code is readable and executable by a processor to perform a method comprising:
identifying an industry category for an enterprise; storing a set of regulatory requirements for the industry category in a database; categorizing the set of regulations by focus areas, summary requirements, and harmonized detailed requirements, wherein the focus areas describe components of regulatory requirements, wherein the summary requirements summarize each first tier subcomponent of the components of the regulatory requirements, and wherein the harmonized detailed requirements describe second tier subcomponents of each first tier component; mapping detailed requirements for each set of regulations to one or more of the focus areas, summary requirements, and harmonized detailed requirements; mapping the detailed requirements to compliance resources; and executing the compliance resources to satisfy the detailed requirements. 12. The computer program product of claim 11, wherein the method further comprises:
identifying any gaps between the detailed requirements and abilities of the compliance resources to satisfy the detailed requirements; and modifying the compliance resources to eliminate the gaps. 13. The computer program product of claim 11, wherein the method further comprises:
identifying any overlapping requirements in the set of regulatory requirements for the industry category; and generating a consolidated regulatory requirement that contains all requirements of the set of regulatory requirements with only a single instance of any overlapping requirement. 14. The computer program product of claim 13, wherein overlapping requirements are caused by overlapping requirements from regulations in different governmental entities. 15. The computer program product of claim 14, wherein the different governmental entities are different geopolitical entities. 16. The computer program product of claim 11, wherein the method further comprises:
receiving, by a processor, coded information that identifies what types of information technology resources are in use by the enterprise; and identifying the industry category for the enterprise based on what types of information technology resources are in use by the enterprise. 17. The computer program product of claim 11, wherein the method further comprises: receiving, by a processor, coded information that identifies supplies that are used by the enterprise; and
identifying the industry category for the enterprise based on the supplies that are used by the enterprise. 18. The computer program product of claim 11, wherein the method further comprises:
receiving, by a processor, coded information that identifies equipment that is in use by the enterprise; and identifying the industry category for the enterprise based on the equipment that is in use by the enterprise. 19. The computer program product of claim 11, wherein the method further comprises:
receiving, by a processor, coded information that identifies job descriptions of employees of the enterprise; and identifying the industry category for the enterprise based on the job descriptions of employees of the enterprise. 20. A hardware device comprising:
a hardware processor, a computer readable memory, and a computer readable storage medium; first program instructions to identify an industry category for an enterprise; second program instructions to store a set of regulatory requirements for the industry category in a database; third program instructions to categorize the set of regulations by focus areas, summary requirements, and harmonized detailed requirements, wherein the focus areas describe components of regulatory requirements, wherein the summary requirements summarize each first tier subcomponent of the components of the regulatory requirements, and wherein the harmonized detailed requirements describe second tier subcomponents of each first tier component; fourth program instructions to map detailed requirements for each set of regulations to one or more of the focus areas, summary requirements, and harmonized detailed requirements; fifth program instructions to map the detailed requirements to compliance resources; and sixth program instructions to execute the compliance resources to satisfy the detailed requirements; and wherein
the first, second, third, fourth, fifth, and sixth program instructions are stored on the computer readable storage medium and executed by the processor via the computer readable memory. | 3,600 |
13,607 | 13,607 | 15,492,029 | 3,616 | A lift option kit that allows the user to alter the vertical suspension lift of a vehicle. | 1. Kit for suspension travel and increasing front and ground clearance of a vehicle, said kit comprising:
(i.) at least one strut mount extender; (ii.) at least one shim, (iii.) an adjustable relocation bracket and, (iv.) instructions with regard to using said at least one strut mount extender, or said at least one shim, or a combination of at least one strut mount extender and said at least one shim, to provide lift to said vehicle ranging from 0.1 inches to 3.6 inches. 2. The kit for suspension travel as claimed in claim 1 wherein the strut mount extender has two openings that allow for attachment. 3. The kit for suspension travel as claimed in claim 1 where there is at least two shims. 4. The kit for suspension travel as claimed in claim 1 where there is at least three shims. 5. The kit for suspension travel as claims in claim 1 where there is 4 shims. | A lift option kit that allows the user to alter the vertical suspension lift of a vehicle.1. Kit for suspension travel and increasing front and ground clearance of a vehicle, said kit comprising:
(i.) at least one strut mount extender; (ii.) at least one shim, (iii.) an adjustable relocation bracket and, (iv.) instructions with regard to using said at least one strut mount extender, or said at least one shim, or a combination of at least one strut mount extender and said at least one shim, to provide lift to said vehicle ranging from 0.1 inches to 3.6 inches. 2. The kit for suspension travel as claimed in claim 1 wherein the strut mount extender has two openings that allow for attachment. 3. The kit for suspension travel as claimed in claim 1 where there is at least two shims. 4. The kit for suspension travel as claimed in claim 1 where there is at least three shims. 5. The kit for suspension travel as claims in claim 1 where there is 4 shims. | 3,600 |
13,608 | 13,608 | 14,074,660 | 3,693 | The disclosed embodiments relate to implementation of a trading system, which may also be referred to as a trading system architecture, having improved performance which further assures transactional determinism under increasing processing transaction loads while providing improved trading opportunities, fault tolerance, low latency processing, high volume capacity, risk mitigation and market protections with minimal impact, as well as improved and equitable access to information and opportunities. | 1. A system for improving efficiency of a trading system for a plurality of financial instruments, each of the plurality of financial instruments comprising at lease one component, the system comprising:
an order memory operative to store data representative of a set of previously received but unsatisfied orders, each order being for a transaction for at least one of the plurality of financial instruments; a plurality of match engines coupled with the order memory, each of the plurality of match engines comprising a first logic component operative to implement a market for a financial instrument of the plurality of financial instruments by being further operative to cause the first processor to attempt to match an incoming order provided thereto for a transaction for the financial instrument with at least one other of the set of previously received but unsatisfied orders, the at least one other previously received but unsatisfied order being for a transaction counter thereto for a financial instrument of the plurality of financial instruments having at least one component in common with the financial instrument of the incoming order, to at least partially satisfy one or both of the incoming order or the at least one other previously received order, and update the stored data in the order memory representative of the set of previously received but unsatisfied orders based thereon; and a first logic component, coupled with the order memory and the plurality of match engines and operative to, upon receipt of an incoming order from a market participant for a transaction for a financial instrument, determine a subset of the set of previously received but unsatisfied orders each having at least one component of the associated financial instrument in common with the financial instrument of the incoming order, and determine if access to the subset has been previously allocated to one of the plurality of match engines and, where access to the subset has been previously allocated to one of the plurality of match engines, route the incoming order thereto for a match attempt thereby, and wherein access to the subset has not been allocated to one of the match engines, select one of the plurality of match engines, allocate access to the subset to the selected match engine and route the incoming order to the selected match engine for a match attempt thereby. 2. A system for improving efficiency of a trading system for a plurality of financial instruments, each of the plurality of financial instruments comprising at lease one component, the system comprising:
a memory operative to store data representative of a set of previously received but unsatisfied orders, each order being for a transaction for at least one of the plurality of financial instruments; a plurality of match engines coupled with the memory, each of the plurality of match engines operative to implement a market for a financial instrument of the plurality of financial instruments by being further operative to attempt to match an incoming order provided thereto for a transaction for the financial instrument with at least one other of the set of previously received but unsatisfied orders, the at least one other previously received but unsatisfied order being for a transaction counter thereto for a financial instrument of the plurality of financial instruments having at least one component in common with the financial instrument of the incoming order, to at least partially satisfy one or both of the incoming order or the at least one other previously received order, and update the stored data in the memory representative of the set of previously received but unsatisfied orders based thereon; and an order book allocator coupled with the memory and the plurality of match engines and operative to, upon receipt of an incoming order from a market participant for a transaction for a financial instrument, determine a subset of the set of previously received but unsatisfied orders each having at least one component of the associated financial instrument in common with the financial instrument of the incoming order, and determine if access to the subset has been previously allocated to one of the plurality of match engines and, where access to the subset has been previously allocated to one of the plurality of match engines, route the incoming order thereto for a match attempt thereby, and wherein access to the subset has not been allocated to one of the match engines, select one of the plurality of match engines, allocate access to the subset to the selected match engine and route the incoming order to the selected match engine for a match attempt thereby. 3. The system of claim 2 wherein the set of previously received but unsatisfied orders further comprises one more financial instrument subsets, each financial instrument subset comprising those previously received orders of the set which are for a transaction for the same financial instrument of the plurality of financial instruments, order book allocator is further operative to determine the subset of the set of previously received but unsatisfied orders by identifying those financial instrument subsets associated with financial instruments having at least one component thereof in common with each other and the financial instrument of the incoming order. 4. The system of claim 3 wherein the order book allocator further maintains a data structure which stores data representative of which financial instruments of the plurality of financial instruments have at least one component thereof in common with another of the financial instruments of the plurality of financial instruments. 5. The system of claim 4 wherein the data structure further stores the locations in the memory in which each of the set of previously received but unsatisfied orders is stored. 6. The system of claim 2 wherein each of the plurality of match engines is operative to update the stored data in the memory using a back channel protocol. 7. The system of claim 2 wherein each of the plurality of match engines is operative to update the stored data in the memory using a remote direct memory access (“RDMA”) protocol. 8. The system of claim 2 wherein the order book allocator is operative to select one of the plurality of match engines based on an availability thereof. 9. The system of claim 2 wherein each of the plurality of match engines may be further operative to attempt to identify an implied match for the incoming order among the orders of the allocated subset for financial instruments which are not identical to the financial instrument of the incoming order. 10. The system of claim 2 wherein the allocation of access to the subset further comprises provision of a match algorithm associated with the subset for the selected match engine to use when an incoming order may be matched with more than one previously received but unsatisfied order. 11. The system of claim 10 wherein the match algorithm comprises a pro-rata algorithm, a first in first out (“FIFO”) algorithm, a Price Explicit Time algorithm, an Order Level Pro Rata algorithm, an Order Level Priority Pro Rata algorithm, a Preference Price Explicit Time algorithm, a Preference Order Level Pro Rata algorithm, a Preference Order Level Priority Pro Rata algorithm, a Threshold Pro-Rata algorithm, a Priority Threshold Pro-Rata algorithm, a Preference Threshold Pro-Rata algorithm, a Priority Preference Threshold Pro-Rata algorithm, a Split Price-Time Pro-Rata algorithm, or combinations thereof. 12. The system of claim 2 wherein the order book allocator is further operative to deallocate access to the subset when the selected match engine has completed the attempt to match all incoming orders routed thereto prior to another incoming order being routed thereto. 13. The system of claim 2 wherein the allocation of the subset further comprises transferring at least a copy of the subset to a memory associated with the selected match engine. 14. The system of claim 2 wherein the plurality of match engines includes sufficient match engines such that a match engine is always available to have routed thereto an incoming order associated with an unallocated subset of the set of previously received but unsatisfied orders. 15. The system of claim 2 wherein the memory further comprises a plurality of memory portions each associated with one of the plurality of match engines and capable of storing at least the data representative of the subset of the set of previously received but unsatisfied orders. 16. The system of claim 15 wherein the order book allocator is further operative to detect an update to the stored data in one of the plurality of memory portions by the match engine associated therewith and cause the update to be available to the others of the plurality of match engines. 17. The system of claim 2 wherein the order book allocator is implemented by a field programmable gate array. 18. The system of claim 2 further comprising an implicator coupled with the memory, the plurality of match engines and the order book processor, and operative to, when a match engine is unable to match the incoming order with at least one previously received but unsatisfied order for a counter transaction for the particular financial instrument of the incoming order, identify at least one previously received but unsatisfied order for a counter transaction for a financial instrument having at least one component in common with the particular financial instrument of the incoming order, and generate a synthetic order therefore and submit the synthetic order to the trading system. 19. The system of claim 2 wherein each of the plurality of match engines comprises a set of redundant match engines, each operating on the incoming order. 20. The system of claim 2 further comprising an order router coupled with the plurality of match engines and the order book allocator and operative to route an incoming order to one of the plurality of match engines based on available processing capacity of each of the plurality of match engines, the one of the plurality of match engines being the same engine to which a prior incoming order for a transaction for the same financial instrument as the incoming order was routed, or a combination thereof. 21. The system of claim 2 wherein the order book allocator is operative to facilitate access to the subset by providing the data representative thereof to the particular match engine for use thereby and retrieving the data representative of the subset from the match engine subsequent to the updating thereby. 22. A computer implemented method for improving efficiency of a trading system for a plurality of financial instruments, each of the plurality of financial instruments comprising at lease one component, the method comprising:
storing, by a first processor in a memory coupled therewith, data representative of a set of previously received but unsatisfied orders, each order being for a transaction for at least one of the plurality of financial instruments; implementing, by each of a plurality of second processors coupled with the memory, a market for a financial instrument of the plurality of financial instruments by attempting to match an incoming order provided thereto for a transaction for the financial instrument with at least one other of the set of previously received but unsatisfied orders, the at least one other previously received but unsatisfied order being for a transaction counter thereto for a financial instrument of the plurality of financial instruments having at least one component in common with the financial instrument of the incoming order, to at least partially satisfy one or both of the incoming order or the at least one other previously received order, and updating the stored data in the memory representative of the set of previously received but unsatisfied orders based thereon; and determining, by a third processor upon receipt of an incoming order from a market participant for a transaction for a financial instrument, a subset of the set of previously received but unsatisfied orders each having at least one component of the associated financial instrument in common with the financial instrument of the incoming order, and determining if access to the subset has been previously allocated to one of the plurality of second processors and, where access to the subset has been previously allocated to one of the plurality of second processors, routing the incoming order thereto for a match attempt thereby, and wherein access to the subset has not been allocated to one of the second processors, selecting one of the plurality of second processors, allocating access to the subset to the selected second processor and routing the incoming order to the selected second processor for a match attempt thereby. 23. The method of claim 22 wherein the set of previously received but unsatisfied orders further comprises one more financial instrument subsets, each financial instrument subset comprising those previously received orders of the set which are for a transaction for the same financial instrument of the plurality of financial instruments, the method further comprising determining the subset of the set of previously received but unsatisfied orders by identifying those financial instrument subsets associated with financial instruments having at least one component thereof in common with each other and the financial instrument of the incoming order. 24. The method of claim 23 maintaining a data structure which stores data representative of which financial instruments of the plurality of financial instruments have at least one component thereof in common with another of the financial instruments of the plurality of financial instruments. 25. The method of claim 24 wherein the data structure further stores the locations in the memory in which each of the set of previously received but unsatisfied orders is stored. 26. The method of claim 22 wherein the implementing further comprises updating the stored data in the memory using a back channel protocol. 27. The method of claim 22 wherein the implementing further comprises updating the stored data in the memory using a remote direct memory access (“RDMA”) protocol. 28. The method of claim 22 wherein the receiving further comprises selecting one of the plurality of match engines based on an availability thereof. 29. The method of claim 22 wherein the implementing may further comprise attempting to identify an implied match for the incoming order among the orders of the allocated subset for financial instruments which are not identical to the financial instrument of the incoming order. 30. The method of claim 22 wherein the allocating of access to the subset further comprises provision of a match algorithm associated with the subset for the selected second processor to use when an incoming order may be matched with more than one previously received but unsatisfied order. 31. The method of claim 30 wherein the match algorithm comprises a pro-rata algorithm, a first in first out (“FIFO”) algorithm, a Price Explicit Time algorithm, an Order Level Pro Rata algorithm, an Order Level Priority Pro Rata algorithm, a Preference Price Explicit Time algorithm, a Preference Order Level Pro Rata algorithm, a Preference Order Level Priority Pro Rata algorithm, a Threshold Pro-Rata algorithm, a Priority Threshold Pro-Rata algorithm, a Preference Threshold Pro-Rata algorithm, a Priority Preference Threshold Pro-Rata algorithm, a Split Price-Time Pro-Rata algorithm, or combinations thereof. 32. The method of claim 22 wherein the determining further comprises deallocating access to the subset when the selected match engine has completed the attempt to match all incoming orders routed thereto prior to another incoming order being routed thereto. 33. The method of claim 22 wherein the allocation of the subset further comprises transferring at least a copy of the subset to a memory associated with the selected second processor. 34. The method of claim 22 wherein the plurality of second processors includes sufficient second processors such that a second processor is always available to have routed thereto an incoming order associated with an unallocated subset of the set of previously received but unsatisfied orders. 35. The method of claim 22 wherein the memory further comprises a plurality of memory portions each associated with one of the plurality of second processors and capable of storing at least the data representative of the subset of the set of previously received but unsatisfied orders. 36. The method of claim 35 further comprising detecting an update to the stored data in one of the plurality of memory portions by the second processor associated therewith and causing the update to be available to the others of the plurality of second processors. 37. The method of claim 22 further comprising, when a second processor is unable to match the incoming order with at least one previously received but unsatisfied order for a counter transaction for the particular financial instrument of the incoming order, identifying at least one previously received but unsatisfied order for a counter transaction for a financial instrument having at least one component in common with the particular financial instrument of the incoming order, and generating a synthetic order therefore and submitting the synthetic order to the trading system. 38. The method of claim 22 wherein each of the plurality of second processors comprises a set of redundant match engines, each operating on the incoming order. 39. The method of claim 22 further comprising routing an incoming order to one of the plurality of second processors based on available processing capacity of each of the plurality of second processors, the one of the plurality of second processors being the same second processor to which a prior incoming order for a transaction for the same financial instrument as the incoming order was routed, or a combination thereof. 40. The method of claim 22 further comprising facilitating access to the subset by providing the data representative thereof to the particular second processor for use thereby and retrieving the data representative of the subset from the second processor subsequent to the updating thereby. 41. A system for improving efficiency of a trading system for a plurality of financial instruments, each of the plurality of financial instruments comprising at lease one component, the system comprising:
means for storing, in a memory coupled, data representative of a set of previously received but unsatisfied orders, each order being for a transaction for at least one of the plurality of financial instruments; a plurality of means for implementing a market for a financial instrument of the plurality of financial instruments, each of the means for implementing further including means for attempting to match an incoming order provided thereto for a transaction for the financial instrument with at least one other of the set of previously received but unsatisfied orders, the at least one other previously received but unsatisfied order being for a transaction counter thereto for a financial instrument of the plurality of financial instruments having at least one component in common with the financial instrument of the incoming order, to at least partially satisfy one or both of the incoming order or the at least one other previously received order, and means for updating the stored data in the memory representative of the set of previously received but unsatisfied orders based thereon; and means for determining, upon receipt of an incoming order from a market participant for a transaction for a financial instrument, a subset of the set of previously received but unsatisfied orders each having at least one component of the associated financial instrument in common with the financial instrument of the incoming order, and determining if access to the subset has been previously allocated to one of the plurality of match engines and, where access to the subset has been previously allocated to one of the plurality of match engines, means for routing the incoming order thereto for a match attempt thereby, and wherein access to the subset has not been allocated to one of the match engines, means for selecting one of the plurality of match engines, means for allocating access to the subset to the selected match engine and means for routing the incoming order to the selected match engine for a match attempt thereby. | The disclosed embodiments relate to implementation of a trading system, which may also be referred to as a trading system architecture, having improved performance which further assures transactional determinism under increasing processing transaction loads while providing improved trading opportunities, fault tolerance, low latency processing, high volume capacity, risk mitigation and market protections with minimal impact, as well as improved and equitable access to information and opportunities.1. A system for improving efficiency of a trading system for a plurality of financial instruments, each of the plurality of financial instruments comprising at lease one component, the system comprising:
an order memory operative to store data representative of a set of previously received but unsatisfied orders, each order being for a transaction for at least one of the plurality of financial instruments; a plurality of match engines coupled with the order memory, each of the plurality of match engines comprising a first logic component operative to implement a market for a financial instrument of the plurality of financial instruments by being further operative to cause the first processor to attempt to match an incoming order provided thereto for a transaction for the financial instrument with at least one other of the set of previously received but unsatisfied orders, the at least one other previously received but unsatisfied order being for a transaction counter thereto for a financial instrument of the plurality of financial instruments having at least one component in common with the financial instrument of the incoming order, to at least partially satisfy one or both of the incoming order or the at least one other previously received order, and update the stored data in the order memory representative of the set of previously received but unsatisfied orders based thereon; and a first logic component, coupled with the order memory and the plurality of match engines and operative to, upon receipt of an incoming order from a market participant for a transaction for a financial instrument, determine a subset of the set of previously received but unsatisfied orders each having at least one component of the associated financial instrument in common with the financial instrument of the incoming order, and determine if access to the subset has been previously allocated to one of the plurality of match engines and, where access to the subset has been previously allocated to one of the plurality of match engines, route the incoming order thereto for a match attempt thereby, and wherein access to the subset has not been allocated to one of the match engines, select one of the plurality of match engines, allocate access to the subset to the selected match engine and route the incoming order to the selected match engine for a match attempt thereby. 2. A system for improving efficiency of a trading system for a plurality of financial instruments, each of the plurality of financial instruments comprising at lease one component, the system comprising:
a memory operative to store data representative of a set of previously received but unsatisfied orders, each order being for a transaction for at least one of the plurality of financial instruments; a plurality of match engines coupled with the memory, each of the plurality of match engines operative to implement a market for a financial instrument of the plurality of financial instruments by being further operative to attempt to match an incoming order provided thereto for a transaction for the financial instrument with at least one other of the set of previously received but unsatisfied orders, the at least one other previously received but unsatisfied order being for a transaction counter thereto for a financial instrument of the plurality of financial instruments having at least one component in common with the financial instrument of the incoming order, to at least partially satisfy one or both of the incoming order or the at least one other previously received order, and update the stored data in the memory representative of the set of previously received but unsatisfied orders based thereon; and an order book allocator coupled with the memory and the plurality of match engines and operative to, upon receipt of an incoming order from a market participant for a transaction for a financial instrument, determine a subset of the set of previously received but unsatisfied orders each having at least one component of the associated financial instrument in common with the financial instrument of the incoming order, and determine if access to the subset has been previously allocated to one of the plurality of match engines and, where access to the subset has been previously allocated to one of the plurality of match engines, route the incoming order thereto for a match attempt thereby, and wherein access to the subset has not been allocated to one of the match engines, select one of the plurality of match engines, allocate access to the subset to the selected match engine and route the incoming order to the selected match engine for a match attempt thereby. 3. The system of claim 2 wherein the set of previously received but unsatisfied orders further comprises one more financial instrument subsets, each financial instrument subset comprising those previously received orders of the set which are for a transaction for the same financial instrument of the plurality of financial instruments, order book allocator is further operative to determine the subset of the set of previously received but unsatisfied orders by identifying those financial instrument subsets associated with financial instruments having at least one component thereof in common with each other and the financial instrument of the incoming order. 4. The system of claim 3 wherein the order book allocator further maintains a data structure which stores data representative of which financial instruments of the plurality of financial instruments have at least one component thereof in common with another of the financial instruments of the plurality of financial instruments. 5. The system of claim 4 wherein the data structure further stores the locations in the memory in which each of the set of previously received but unsatisfied orders is stored. 6. The system of claim 2 wherein each of the plurality of match engines is operative to update the stored data in the memory using a back channel protocol. 7. The system of claim 2 wherein each of the plurality of match engines is operative to update the stored data in the memory using a remote direct memory access (“RDMA”) protocol. 8. The system of claim 2 wherein the order book allocator is operative to select one of the plurality of match engines based on an availability thereof. 9. The system of claim 2 wherein each of the plurality of match engines may be further operative to attempt to identify an implied match for the incoming order among the orders of the allocated subset for financial instruments which are not identical to the financial instrument of the incoming order. 10. The system of claim 2 wherein the allocation of access to the subset further comprises provision of a match algorithm associated with the subset for the selected match engine to use when an incoming order may be matched with more than one previously received but unsatisfied order. 11. The system of claim 10 wherein the match algorithm comprises a pro-rata algorithm, a first in first out (“FIFO”) algorithm, a Price Explicit Time algorithm, an Order Level Pro Rata algorithm, an Order Level Priority Pro Rata algorithm, a Preference Price Explicit Time algorithm, a Preference Order Level Pro Rata algorithm, a Preference Order Level Priority Pro Rata algorithm, a Threshold Pro-Rata algorithm, a Priority Threshold Pro-Rata algorithm, a Preference Threshold Pro-Rata algorithm, a Priority Preference Threshold Pro-Rata algorithm, a Split Price-Time Pro-Rata algorithm, or combinations thereof. 12. The system of claim 2 wherein the order book allocator is further operative to deallocate access to the subset when the selected match engine has completed the attempt to match all incoming orders routed thereto prior to another incoming order being routed thereto. 13. The system of claim 2 wherein the allocation of the subset further comprises transferring at least a copy of the subset to a memory associated with the selected match engine. 14. The system of claim 2 wherein the plurality of match engines includes sufficient match engines such that a match engine is always available to have routed thereto an incoming order associated with an unallocated subset of the set of previously received but unsatisfied orders. 15. The system of claim 2 wherein the memory further comprises a plurality of memory portions each associated with one of the plurality of match engines and capable of storing at least the data representative of the subset of the set of previously received but unsatisfied orders. 16. The system of claim 15 wherein the order book allocator is further operative to detect an update to the stored data in one of the plurality of memory portions by the match engine associated therewith and cause the update to be available to the others of the plurality of match engines. 17. The system of claim 2 wherein the order book allocator is implemented by a field programmable gate array. 18. The system of claim 2 further comprising an implicator coupled with the memory, the plurality of match engines and the order book processor, and operative to, when a match engine is unable to match the incoming order with at least one previously received but unsatisfied order for a counter transaction for the particular financial instrument of the incoming order, identify at least one previously received but unsatisfied order for a counter transaction for a financial instrument having at least one component in common with the particular financial instrument of the incoming order, and generate a synthetic order therefore and submit the synthetic order to the trading system. 19. The system of claim 2 wherein each of the plurality of match engines comprises a set of redundant match engines, each operating on the incoming order. 20. The system of claim 2 further comprising an order router coupled with the plurality of match engines and the order book allocator and operative to route an incoming order to one of the plurality of match engines based on available processing capacity of each of the plurality of match engines, the one of the plurality of match engines being the same engine to which a prior incoming order for a transaction for the same financial instrument as the incoming order was routed, or a combination thereof. 21. The system of claim 2 wherein the order book allocator is operative to facilitate access to the subset by providing the data representative thereof to the particular match engine for use thereby and retrieving the data representative of the subset from the match engine subsequent to the updating thereby. 22. A computer implemented method for improving efficiency of a trading system for a plurality of financial instruments, each of the plurality of financial instruments comprising at lease one component, the method comprising:
storing, by a first processor in a memory coupled therewith, data representative of a set of previously received but unsatisfied orders, each order being for a transaction for at least one of the plurality of financial instruments; implementing, by each of a plurality of second processors coupled with the memory, a market for a financial instrument of the plurality of financial instruments by attempting to match an incoming order provided thereto for a transaction for the financial instrument with at least one other of the set of previously received but unsatisfied orders, the at least one other previously received but unsatisfied order being for a transaction counter thereto for a financial instrument of the plurality of financial instruments having at least one component in common with the financial instrument of the incoming order, to at least partially satisfy one or both of the incoming order or the at least one other previously received order, and updating the stored data in the memory representative of the set of previously received but unsatisfied orders based thereon; and determining, by a third processor upon receipt of an incoming order from a market participant for a transaction for a financial instrument, a subset of the set of previously received but unsatisfied orders each having at least one component of the associated financial instrument in common with the financial instrument of the incoming order, and determining if access to the subset has been previously allocated to one of the plurality of second processors and, where access to the subset has been previously allocated to one of the plurality of second processors, routing the incoming order thereto for a match attempt thereby, and wherein access to the subset has not been allocated to one of the second processors, selecting one of the plurality of second processors, allocating access to the subset to the selected second processor and routing the incoming order to the selected second processor for a match attempt thereby. 23. The method of claim 22 wherein the set of previously received but unsatisfied orders further comprises one more financial instrument subsets, each financial instrument subset comprising those previously received orders of the set which are for a transaction for the same financial instrument of the plurality of financial instruments, the method further comprising determining the subset of the set of previously received but unsatisfied orders by identifying those financial instrument subsets associated with financial instruments having at least one component thereof in common with each other and the financial instrument of the incoming order. 24. The method of claim 23 maintaining a data structure which stores data representative of which financial instruments of the plurality of financial instruments have at least one component thereof in common with another of the financial instruments of the plurality of financial instruments. 25. The method of claim 24 wherein the data structure further stores the locations in the memory in which each of the set of previously received but unsatisfied orders is stored. 26. The method of claim 22 wherein the implementing further comprises updating the stored data in the memory using a back channel protocol. 27. The method of claim 22 wherein the implementing further comprises updating the stored data in the memory using a remote direct memory access (“RDMA”) protocol. 28. The method of claim 22 wherein the receiving further comprises selecting one of the plurality of match engines based on an availability thereof. 29. The method of claim 22 wherein the implementing may further comprise attempting to identify an implied match for the incoming order among the orders of the allocated subset for financial instruments which are not identical to the financial instrument of the incoming order. 30. The method of claim 22 wherein the allocating of access to the subset further comprises provision of a match algorithm associated with the subset for the selected second processor to use when an incoming order may be matched with more than one previously received but unsatisfied order. 31. The method of claim 30 wherein the match algorithm comprises a pro-rata algorithm, a first in first out (“FIFO”) algorithm, a Price Explicit Time algorithm, an Order Level Pro Rata algorithm, an Order Level Priority Pro Rata algorithm, a Preference Price Explicit Time algorithm, a Preference Order Level Pro Rata algorithm, a Preference Order Level Priority Pro Rata algorithm, a Threshold Pro-Rata algorithm, a Priority Threshold Pro-Rata algorithm, a Preference Threshold Pro-Rata algorithm, a Priority Preference Threshold Pro-Rata algorithm, a Split Price-Time Pro-Rata algorithm, or combinations thereof. 32. The method of claim 22 wherein the determining further comprises deallocating access to the subset when the selected match engine has completed the attempt to match all incoming orders routed thereto prior to another incoming order being routed thereto. 33. The method of claim 22 wherein the allocation of the subset further comprises transferring at least a copy of the subset to a memory associated with the selected second processor. 34. The method of claim 22 wherein the plurality of second processors includes sufficient second processors such that a second processor is always available to have routed thereto an incoming order associated with an unallocated subset of the set of previously received but unsatisfied orders. 35. The method of claim 22 wherein the memory further comprises a plurality of memory portions each associated with one of the plurality of second processors and capable of storing at least the data representative of the subset of the set of previously received but unsatisfied orders. 36. The method of claim 35 further comprising detecting an update to the stored data in one of the plurality of memory portions by the second processor associated therewith and causing the update to be available to the others of the plurality of second processors. 37. The method of claim 22 further comprising, when a second processor is unable to match the incoming order with at least one previously received but unsatisfied order for a counter transaction for the particular financial instrument of the incoming order, identifying at least one previously received but unsatisfied order for a counter transaction for a financial instrument having at least one component in common with the particular financial instrument of the incoming order, and generating a synthetic order therefore and submitting the synthetic order to the trading system. 38. The method of claim 22 wherein each of the plurality of second processors comprises a set of redundant match engines, each operating on the incoming order. 39. The method of claim 22 further comprising routing an incoming order to one of the plurality of second processors based on available processing capacity of each of the plurality of second processors, the one of the plurality of second processors being the same second processor to which a prior incoming order for a transaction for the same financial instrument as the incoming order was routed, or a combination thereof. 40. The method of claim 22 further comprising facilitating access to the subset by providing the data representative thereof to the particular second processor for use thereby and retrieving the data representative of the subset from the second processor subsequent to the updating thereby. 41. A system for improving efficiency of a trading system for a plurality of financial instruments, each of the plurality of financial instruments comprising at lease one component, the system comprising:
means for storing, in a memory coupled, data representative of a set of previously received but unsatisfied orders, each order being for a transaction for at least one of the plurality of financial instruments; a plurality of means for implementing a market for a financial instrument of the plurality of financial instruments, each of the means for implementing further including means for attempting to match an incoming order provided thereto for a transaction for the financial instrument with at least one other of the set of previously received but unsatisfied orders, the at least one other previously received but unsatisfied order being for a transaction counter thereto for a financial instrument of the plurality of financial instruments having at least one component in common with the financial instrument of the incoming order, to at least partially satisfy one or both of the incoming order or the at least one other previously received order, and means for updating the stored data in the memory representative of the set of previously received but unsatisfied orders based thereon; and means for determining, upon receipt of an incoming order from a market participant for a transaction for a financial instrument, a subset of the set of previously received but unsatisfied orders each having at least one component of the associated financial instrument in common with the financial instrument of the incoming order, and determining if access to the subset has been previously allocated to one of the plurality of match engines and, where access to the subset has been previously allocated to one of the plurality of match engines, means for routing the incoming order thereto for a match attempt thereby, and wherein access to the subset has not been allocated to one of the match engines, means for selecting one of the plurality of match engines, means for allocating access to the subset to the selected match engine and means for routing the incoming order to the selected match engine for a match attempt thereby. | 3,600 |
13,609 | 13,609 | 14,613,510 | 3,626 | A method for managing a task. A computer system displays a graphical display of words for characteristics of people in word clouds in a graphical user interface on a display system in the computer system. The computer system performs a group of functions on the word clouds based on a user input to the graphical user interface. The computer system displays a resulting word cloud with resulting characteristics that results from performing the group of functions on the word clouds, wherein managing the task is enabled using the resulting word cloud. | 1. A method for managing a task, the method comprising:
displaying, by a computer system, a graphical display of words for characteristics of people in word clouds in a graphical user interface on a display system in the computer system; performing, by the computer system, a group of functions on the word clouds based on user input to the graphical user interface; and displaying, by the computer system, a resulting word cloud with resulting characteristics that results from performing the group of functions on the word clouds, wherein managing the task is enabled using the resulting word cloud. 2. The method of claim 1 further comprising:
receiving the user input selecting the group of functions from functions displayed in the graphical user interface. 3. The method of claim 1, wherein the group of functions is selected from at least one of adding the word clouds or subtracting the word clouds. 4. The method of claim 1, wherein the word clouds comprise a first word cloud for a first person and a second word cloud for a second person and further comprising:
receiving the user input that requests a comparison of the characteristics between the first person and the second person as the group of functions; comparing first characteristics for the first person with second characteristics for the second person to form the comparison; and displaying new words based on the comparison in a new word cloud. 5. The method of claim 4, wherein comparing the first characteristics for the first person with the second characteristics for the second person to form the comparison comprises:
subtracting first values for the first characteristics for the first person and second values for the second characteristics for the second person to form a difference between the first values and the second values; and wherein displaying the new words based on the comparison in the new word cloud comprises: displaying a graphical display of the new words in the new word cloud, wherein the graphical display of the new words represents the difference between the first values for the first characteristics for the first person and the second values for the second characteristics for the second person. 6. The method of claim 1, wherein the word clouds represent at least one of a person, a project, or resources. 7. The method of claim 1, wherein the characteristics are selected from at least one of a skill, an education level, an interest, a tenure, a name, a work location, or a competency. 8. A computer system comprising:
a display system; and a word cloud generator in the computer system in communication with the display system, wherein the word cloud generator displays a graphical display of words for characteristics of people in word clouds in a graphical user interface on the display system in the computer system; performs a group of functions on the word clouds based on user input to the graphical user interface; and displays a resulting word cloud with resulting characteristics that results from performing the group of functions on the word clouds, wherein managing a task is enabled using the resulting word cloud. 9. The computer system of claim 8, wherein the word cloud generator receives the user input selecting the group of functions from functions displayed in the graphical user interface. 10. The computer system of claim 8, wherein the group of functions is selected from at least one of adding the word clouds or subtracting the word clouds. 11. The computer system of claim 8, wherein the word clouds comprises a first word cloud for a first person and a second word cloud for a second person and wherein the word cloud generator receives the user input that requests a comparison of the characteristics between the first person and the second person as the group of functions;
compares first characteristics for the first person with second characteristics for the second person to form the comparison; and displays new words based on the comparison in a new word cloud. 12. The computer system of claim 11, wherein in comparing the first characteristics for the first person with the second characteristics for the second person to form the comparison, the word cloud generator subtracts first values for the first characteristics for the first person and second values for the second characteristics for the second person to form a difference between the first values and the second values; and
wherein in displaying the new words based on the comparison in the new word cloud, the word cloud generator displays a graphical display of the new words in the new word cloud, wherein the graphical display of the new words represents the difference between the first values for the first characteristics for the first person and the second values for the second characteristics for the second person. 13. The computer system of claim 8, wherein the word clouds represent at least one of a person, a project, or resources. 14. The computer system of claim 8, wherein the characteristics are selected from at least one of a skill, an education level, an interest, a tenure, a name, a work location, a competency. 15. A computer program product for managing a task, the computer program product comprising:
a computer readable storage media; first program code, stored on the computer readable storage media, for displaying a graphical display of words for characteristics of people in word clouds in a graphical user interface on a display system in a computer system; second program code, stored on the computer readable storage media, for performing a group of functions on the word clouds based on user input to the graphical user interface; and third program code, stored on the computer readable storage media, for displaying a resulting word cloud with resulting characteristics that results from performing the group of functions on the word clouds, wherein managing the task is enabled using the resulting word cloud. 16. The computer program product of claim 15 further comprising:
fourth program code, stored on the computer readable storage media, for receiving the user input selecting the group of functions from functions displayed in the graphical user interface. 17. The computer program product of claim 15, wherein the group of functions is selected from at least one of adding the word clouds or subtracting the word clouds. 18. The computer program product of claim 15, wherein the word clouds comprise a first word cloud for a first person and a second word cloud for a second person and further comprising:
fourth program code, stored on the computer readable storage media, for receiving the user input that requests a comparison of the characteristics between the first person and the second person as the group of functions; fifth program code, stored on the computer readable storage media, for comparing first characteristics for the first person with second characteristics for the second person to form the comparison; and sixth program code, stored on the computer readable storage media, for displaying new words based on the comparison in a new word cloud. 19. The computer program product of claim 18, wherein the fifth program code comprises:
program code, stored on the computer readable storage media, for subtracting first values for the first characteristics for the first person and second values for the second characteristics for the second person to form a difference between the first values and the second values; and wherein the sixth program code comprises: program code, stored on the computer readable storage media, for displaying a graphical display of the new words in the new word cloud, wherein the graphical display of the new words represents the difference between the first values for the first characteristics for the first person and the second values for the second characteristics for the second person. 20. The computer program product of claim 15, wherein the word clouds represent at least one of a person, a project, or resources. | A method for managing a task. A computer system displays a graphical display of words for characteristics of people in word clouds in a graphical user interface on a display system in the computer system. The computer system performs a group of functions on the word clouds based on a user input to the graphical user interface. The computer system displays a resulting word cloud with resulting characteristics that results from performing the group of functions on the word clouds, wherein managing the task is enabled using the resulting word cloud.1. A method for managing a task, the method comprising:
displaying, by a computer system, a graphical display of words for characteristics of people in word clouds in a graphical user interface on a display system in the computer system; performing, by the computer system, a group of functions on the word clouds based on user input to the graphical user interface; and displaying, by the computer system, a resulting word cloud with resulting characteristics that results from performing the group of functions on the word clouds, wherein managing the task is enabled using the resulting word cloud. 2. The method of claim 1 further comprising:
receiving the user input selecting the group of functions from functions displayed in the graphical user interface. 3. The method of claim 1, wherein the group of functions is selected from at least one of adding the word clouds or subtracting the word clouds. 4. The method of claim 1, wherein the word clouds comprise a first word cloud for a first person and a second word cloud for a second person and further comprising:
receiving the user input that requests a comparison of the characteristics between the first person and the second person as the group of functions; comparing first characteristics for the first person with second characteristics for the second person to form the comparison; and displaying new words based on the comparison in a new word cloud. 5. The method of claim 4, wherein comparing the first characteristics for the first person with the second characteristics for the second person to form the comparison comprises:
subtracting first values for the first characteristics for the first person and second values for the second characteristics for the second person to form a difference between the first values and the second values; and wherein displaying the new words based on the comparison in the new word cloud comprises: displaying a graphical display of the new words in the new word cloud, wherein the graphical display of the new words represents the difference between the first values for the first characteristics for the first person and the second values for the second characteristics for the second person. 6. The method of claim 1, wherein the word clouds represent at least one of a person, a project, or resources. 7. The method of claim 1, wherein the characteristics are selected from at least one of a skill, an education level, an interest, a tenure, a name, a work location, or a competency. 8. A computer system comprising:
a display system; and a word cloud generator in the computer system in communication with the display system, wherein the word cloud generator displays a graphical display of words for characteristics of people in word clouds in a graphical user interface on the display system in the computer system; performs a group of functions on the word clouds based on user input to the graphical user interface; and displays a resulting word cloud with resulting characteristics that results from performing the group of functions on the word clouds, wherein managing a task is enabled using the resulting word cloud. 9. The computer system of claim 8, wherein the word cloud generator receives the user input selecting the group of functions from functions displayed in the graphical user interface. 10. The computer system of claim 8, wherein the group of functions is selected from at least one of adding the word clouds or subtracting the word clouds. 11. The computer system of claim 8, wherein the word clouds comprises a first word cloud for a first person and a second word cloud for a second person and wherein the word cloud generator receives the user input that requests a comparison of the characteristics between the first person and the second person as the group of functions;
compares first characteristics for the first person with second characteristics for the second person to form the comparison; and displays new words based on the comparison in a new word cloud. 12. The computer system of claim 11, wherein in comparing the first characteristics for the first person with the second characteristics for the second person to form the comparison, the word cloud generator subtracts first values for the first characteristics for the first person and second values for the second characteristics for the second person to form a difference between the first values and the second values; and
wherein in displaying the new words based on the comparison in the new word cloud, the word cloud generator displays a graphical display of the new words in the new word cloud, wherein the graphical display of the new words represents the difference between the first values for the first characteristics for the first person and the second values for the second characteristics for the second person. 13. The computer system of claim 8, wherein the word clouds represent at least one of a person, a project, or resources. 14. The computer system of claim 8, wherein the characteristics are selected from at least one of a skill, an education level, an interest, a tenure, a name, a work location, a competency. 15. A computer program product for managing a task, the computer program product comprising:
a computer readable storage media; first program code, stored on the computer readable storage media, for displaying a graphical display of words for characteristics of people in word clouds in a graphical user interface on a display system in a computer system; second program code, stored on the computer readable storage media, for performing a group of functions on the word clouds based on user input to the graphical user interface; and third program code, stored on the computer readable storage media, for displaying a resulting word cloud with resulting characteristics that results from performing the group of functions on the word clouds, wherein managing the task is enabled using the resulting word cloud. 16. The computer program product of claim 15 further comprising:
fourth program code, stored on the computer readable storage media, for receiving the user input selecting the group of functions from functions displayed in the graphical user interface. 17. The computer program product of claim 15, wherein the group of functions is selected from at least one of adding the word clouds or subtracting the word clouds. 18. The computer program product of claim 15, wherein the word clouds comprise a first word cloud for a first person and a second word cloud for a second person and further comprising:
fourth program code, stored on the computer readable storage media, for receiving the user input that requests a comparison of the characteristics between the first person and the second person as the group of functions; fifth program code, stored on the computer readable storage media, for comparing first characteristics for the first person with second characteristics for the second person to form the comparison; and sixth program code, stored on the computer readable storage media, for displaying new words based on the comparison in a new word cloud. 19. The computer program product of claim 18, wherein the fifth program code comprises:
program code, stored on the computer readable storage media, for subtracting first values for the first characteristics for the first person and second values for the second characteristics for the second person to form a difference between the first values and the second values; and wherein the sixth program code comprises: program code, stored on the computer readable storage media, for displaying a graphical display of the new words in the new word cloud, wherein the graphical display of the new words represents the difference between the first values for the first characteristics for the first person and the second values for the second characteristics for the second person. 20. The computer program product of claim 15, wherein the word clouds represent at least one of a person, a project, or resources. | 3,600 |
13,610 | 13,610 | 14,644,460 | 3,695 | The disclosed embodiments relate to systems and methods which match or otherwise allocate an incoming order to trade with “resting,” i.e. previously received but not yet matched (fully satisfied), orders, recognizing that the algorithm or rules by which the incoming order is matched/allocated may affect the operation of the market for the financial product being traded. In particular, the disclosed embodiments relate to regulation of a rate of incoming orders by buffering or otherwise batching orders together as they are received and subsequently forwarding batches of orders to a match engine for processing thereby in a manner which may equalize orders from traders having varying abilities to rapid submit orders or otherwise capitalize on market events. The disclosed embodiments further relate to prioritizing the matching of resting orders against an incoming order. In particular, the disclosed embodiments alter the priority of a given resting order to match against an incoming order, relative to other suitably matching resting orders, as a function of how long the orders have been resting on the order book. | 1. A system for regulating incoming order allocation in an electronic trading system, the electronic trading system comprising a match engine which implements a market for an associated financial instrument by being operative to attempt to match an incoming order for a transaction for the associated financial instrument with at least one other previously received but unsatisfied order for a transaction counter thereto for the associated financial instrument, to at least partially satisfy one or both of the incoming order or the at least one other previously received order, the system comprising:
first logic stored in a first memory and executable by a first processor coupled therewith to cause the first processor to determine an occurrence of an event; second logic stored in the first memory and executable by the first processor to cause the first processor to receive an incoming order and store the received incoming order in the first memory; and third logic stored in the first memory and executable by the first processor to cause the first processor to, upon the occurrence of the event, forward at least a subset of the stored received incoming orders to the match engine. 2. The system of claim 1 for further determining, by the match engine, an allocation of an incoming order for a transaction of a quantity of a financial instrument at an order price among a plurality of previously received but unsatisfied orders, stored in a second memory, for a transaction counter thereto at the order price for a total quantity of the financial instrument that is less than the quantity of the incoming order, wherein each of the plurality of previously received but unsatisfied orders is characterized by a time of receipt at which the previously received but unsatisfied order was received by the electronic trading system, the system further comprising:
fourth logic stored in a third memory and executable by a second processor coupled therewith to cause the second processor to receive the forwarded received incoming orders from the third logic;
fifth logic stored in the third memory and executable by the second processor to cause, for each of the forwarded received incoming orders, the second processor to determine an elapse of time and based on the magnitude thereof, divide the plurality of previously received but unsatisfied orders into at least one non-overlapping subset thereof, each comprising at least one of the plurality of previously received but unsatisfied orders, as a function of the time of receipt thereof; and
sixth logic stored in the third memory and executable by the second processor to cause the second processor to allocate the quantity of the forwarded received incoming order to each of the at least one subset of previously received but unsatisfied orders according to a first allocation algorithm and subsequently thereto, allocate the quantity allocated to each subset of previously received but unsatisfied orders among the previously received but unsatisfied orders thereof according to a second allocation algorithm different from the first allocation algorithm. 3. A system for regulating incoming order allocation in an electronic trading system, the electronic trading system comprising a match engine which implements a market for an associated financial instrument by being operative to attempt to match an incoming order for a transaction for the associated financial instrument with at least one other previously received but unsatisfied order for a transaction counter thereto for the associated financial instrument, to at least partially satisfy one or both of the incoming order or the at least one other previously received order, the system comprising:
an interval processor operative to determine an occurrence of an event; an incoming order receiver operative to receive an incoming order and store the received incoming order in a memory coupled with the order receiver; and an order forwarder, coupled with the memory, the order receiver and the interval processor, operative to, upon the occurrence of the event, forward at least a subset of the stored received incoming orders to the match engine. 4. The system of claim 3 wherein the incoming order receiver is further operative to receive the incoming order when the incoming order's arrival relative to another incoming order has been determined. 5. The system of claim 3 wherein the interval processor, incoming order receiver and order forwarder are comprised by the match engine. 6. The system of claim 3 wherein each order is characterized by any of a set of order types, the order forwarder being further operative to forward the incoming order to the match engine upon receipt thereof when the order type thereof is one of a subset of the set of order types. 7. The system of claim 3 wherein the event comprises an elapse of an interval of time. 8. The system of claim 7 wherein the time interval begins to elapse upon receipt of an incoming order subsequent to a prior elapse of the time interval. 9. The system of claim 7 wherein the duration of the time interval is variable. 10. The system of claim 8 wherein the duration of the time interval is at least partially random. 11. The system of claim 3 wherein the event comprises receipt of an acknowledgment from the match engine acknowledging receipt of previously forwarded incoming orders. 12. The system of claim 3 wherein the event comprises the number of stored received incoming orders exceeds a threshold. 13. The system of claim 3 wherein the received incoming orders are stored in the memory in association with data indicative of time and/or order of receipt by the order receiver. 14. The system of claim 3 wherein the order forwarder is further operative to allow a subsequently received incoming order to modify or cancel a stored received incoming order prior to a forwarding thereof to the match engine. 15. The system of claim 3 wherein the match engine is further operative to determine a sequence in which the match engine will attempt to match each of the forwarded subset of the received incoming orders. 16. The system of claim 15 wherein the sequence is in order of an associated time of arrival of each of the subset of the received incoming orders at the incoming order receiver. 17. A computer implemented method of regulating incoming order allocation in an electronic trading system, the electronic trading system comprising a match engine which implements a market for an associated financial instrument by being operative to attempt to match an incoming order for a transaction for the associated financial instrument with at least one other previously received but unsatisfied order for a transaction counter thereto for the associated financial instrument, to at least partially satisfy one or both of the incoming order or the at least one other previously received order, the method comprising:
determining, by an incoming order processor, an occurrence of an event; receiving, by the incoming order processor, an incoming order and storing the received incoming order in a memory coupled with the incoming order processor; and forwarding by the incoming order processor, upon the occurrence of the event, at least a subset of the stored received incoming orders to the match engine. 18. The computer implemented method of claim 17 further comprising receiving, by the incoming order processor, the incoming order when the incoming order's arrival relative to another incoming order has been determined. 19. The computer implemented method of claim 17 wherein the determining, receiving and forwarding are performed by the match engine. 20. The computer implemented method of claim 17 wherein each order is characterized by any of a set of order types, the forwarding further comprising forwarding the incoming order to the match engine upon receipt thereof when the order type thereof is one of a subset of the set of order types. 21. The computer implemented method of claim 17 wherein the event comprises an elapse of an interval of time. 22. The computer implemented method of claim 21 wherein the duration of the time interval is variable. 23. The computer implemented method of claim 21 wherein the duration of the time interval is at least partially random. 24. The computer implemented method of claim 17 wherein the event comprises the number of stored received incoming orders exceeds a threshold. 25. The computer implemented method of claim 17 wherein the received incoming orders are stored in the memory in association with data indicative of time and/or order of receipt. 26. The computer implemented method of claim 17 further comprising allowing a subsequently received incoming order to modify or cancel a stored received incoming order prior to a forwarding thereof to the match engine. 27. The computer implemented method of claim 17 further comprising determining a sequence in which the match engine will attempt to match each of the forwarded subset of the received incoming orders. | The disclosed embodiments relate to systems and methods which match or otherwise allocate an incoming order to trade with “resting,” i.e. previously received but not yet matched (fully satisfied), orders, recognizing that the algorithm or rules by which the incoming order is matched/allocated may affect the operation of the market for the financial product being traded. In particular, the disclosed embodiments relate to regulation of a rate of incoming orders by buffering or otherwise batching orders together as they are received and subsequently forwarding batches of orders to a match engine for processing thereby in a manner which may equalize orders from traders having varying abilities to rapid submit orders or otherwise capitalize on market events. The disclosed embodiments further relate to prioritizing the matching of resting orders against an incoming order. In particular, the disclosed embodiments alter the priority of a given resting order to match against an incoming order, relative to other suitably matching resting orders, as a function of how long the orders have been resting on the order book.1. A system for regulating incoming order allocation in an electronic trading system, the electronic trading system comprising a match engine which implements a market for an associated financial instrument by being operative to attempt to match an incoming order for a transaction for the associated financial instrument with at least one other previously received but unsatisfied order for a transaction counter thereto for the associated financial instrument, to at least partially satisfy one or both of the incoming order or the at least one other previously received order, the system comprising:
first logic stored in a first memory and executable by a first processor coupled therewith to cause the first processor to determine an occurrence of an event; second logic stored in the first memory and executable by the first processor to cause the first processor to receive an incoming order and store the received incoming order in the first memory; and third logic stored in the first memory and executable by the first processor to cause the first processor to, upon the occurrence of the event, forward at least a subset of the stored received incoming orders to the match engine. 2. The system of claim 1 for further determining, by the match engine, an allocation of an incoming order for a transaction of a quantity of a financial instrument at an order price among a plurality of previously received but unsatisfied orders, stored in a second memory, for a transaction counter thereto at the order price for a total quantity of the financial instrument that is less than the quantity of the incoming order, wherein each of the plurality of previously received but unsatisfied orders is characterized by a time of receipt at which the previously received but unsatisfied order was received by the electronic trading system, the system further comprising:
fourth logic stored in a third memory and executable by a second processor coupled therewith to cause the second processor to receive the forwarded received incoming orders from the third logic;
fifth logic stored in the third memory and executable by the second processor to cause, for each of the forwarded received incoming orders, the second processor to determine an elapse of time and based on the magnitude thereof, divide the plurality of previously received but unsatisfied orders into at least one non-overlapping subset thereof, each comprising at least one of the plurality of previously received but unsatisfied orders, as a function of the time of receipt thereof; and
sixth logic stored in the third memory and executable by the second processor to cause the second processor to allocate the quantity of the forwarded received incoming order to each of the at least one subset of previously received but unsatisfied orders according to a first allocation algorithm and subsequently thereto, allocate the quantity allocated to each subset of previously received but unsatisfied orders among the previously received but unsatisfied orders thereof according to a second allocation algorithm different from the first allocation algorithm. 3. A system for regulating incoming order allocation in an electronic trading system, the electronic trading system comprising a match engine which implements a market for an associated financial instrument by being operative to attempt to match an incoming order for a transaction for the associated financial instrument with at least one other previously received but unsatisfied order for a transaction counter thereto for the associated financial instrument, to at least partially satisfy one or both of the incoming order or the at least one other previously received order, the system comprising:
an interval processor operative to determine an occurrence of an event; an incoming order receiver operative to receive an incoming order and store the received incoming order in a memory coupled with the order receiver; and an order forwarder, coupled with the memory, the order receiver and the interval processor, operative to, upon the occurrence of the event, forward at least a subset of the stored received incoming orders to the match engine. 4. The system of claim 3 wherein the incoming order receiver is further operative to receive the incoming order when the incoming order's arrival relative to another incoming order has been determined. 5. The system of claim 3 wherein the interval processor, incoming order receiver and order forwarder are comprised by the match engine. 6. The system of claim 3 wherein each order is characterized by any of a set of order types, the order forwarder being further operative to forward the incoming order to the match engine upon receipt thereof when the order type thereof is one of a subset of the set of order types. 7. The system of claim 3 wherein the event comprises an elapse of an interval of time. 8. The system of claim 7 wherein the time interval begins to elapse upon receipt of an incoming order subsequent to a prior elapse of the time interval. 9. The system of claim 7 wherein the duration of the time interval is variable. 10. The system of claim 8 wherein the duration of the time interval is at least partially random. 11. The system of claim 3 wherein the event comprises receipt of an acknowledgment from the match engine acknowledging receipt of previously forwarded incoming orders. 12. The system of claim 3 wherein the event comprises the number of stored received incoming orders exceeds a threshold. 13. The system of claim 3 wherein the received incoming orders are stored in the memory in association with data indicative of time and/or order of receipt by the order receiver. 14. The system of claim 3 wherein the order forwarder is further operative to allow a subsequently received incoming order to modify or cancel a stored received incoming order prior to a forwarding thereof to the match engine. 15. The system of claim 3 wherein the match engine is further operative to determine a sequence in which the match engine will attempt to match each of the forwarded subset of the received incoming orders. 16. The system of claim 15 wherein the sequence is in order of an associated time of arrival of each of the subset of the received incoming orders at the incoming order receiver. 17. A computer implemented method of regulating incoming order allocation in an electronic trading system, the electronic trading system comprising a match engine which implements a market for an associated financial instrument by being operative to attempt to match an incoming order for a transaction for the associated financial instrument with at least one other previously received but unsatisfied order for a transaction counter thereto for the associated financial instrument, to at least partially satisfy one or both of the incoming order or the at least one other previously received order, the method comprising:
determining, by an incoming order processor, an occurrence of an event; receiving, by the incoming order processor, an incoming order and storing the received incoming order in a memory coupled with the incoming order processor; and forwarding by the incoming order processor, upon the occurrence of the event, at least a subset of the stored received incoming orders to the match engine. 18. The computer implemented method of claim 17 further comprising receiving, by the incoming order processor, the incoming order when the incoming order's arrival relative to another incoming order has been determined. 19. The computer implemented method of claim 17 wherein the determining, receiving and forwarding are performed by the match engine. 20. The computer implemented method of claim 17 wherein each order is characterized by any of a set of order types, the forwarding further comprising forwarding the incoming order to the match engine upon receipt thereof when the order type thereof is one of a subset of the set of order types. 21. The computer implemented method of claim 17 wherein the event comprises an elapse of an interval of time. 22. The computer implemented method of claim 21 wherein the duration of the time interval is variable. 23. The computer implemented method of claim 21 wherein the duration of the time interval is at least partially random. 24. The computer implemented method of claim 17 wherein the event comprises the number of stored received incoming orders exceeds a threshold. 25. The computer implemented method of claim 17 wherein the received incoming orders are stored in the memory in association with data indicative of time and/or order of receipt. 26. The computer implemented method of claim 17 further comprising allowing a subsequently received incoming order to modify or cancel a stored received incoming order prior to a forwarding thereof to the match engine. 27. The computer implemented method of claim 17 further comprising determining a sequence in which the match engine will attempt to match each of the forwarded subset of the received incoming orders. | 3,600 |
13,611 | 13,611 | 15,164,247 | 3,684 | A method and system for generating a real-time personalized price adjustment are provided. The method includes receiving by an e-commerce server a message that at least one product is added to an electronic shopping cart of an electronic-commerce website (e-commerce) displayed on a consumer device; collecting by the e-commerce server at least one user-activity parameter related to a user of the consumer device; collecting at least one product-related parameter to the at least one product; generating in real-time a price adjustment for purchasing the at least one product, wherein the price adjustment is generated based on the at least one user-activity parameter and the at least one product-related parameter; and displaying of the price adjustment in the electronic shopping cart in association with the at least product type. | 1. A method for generating a real-time personalized price adjustment, comprising:
receiving by an e-commerce server a message that at least one product is added to an electronic shopping cart of an electronic-commerce website (e-commerce) displayed on a consumer device; collecting by the e-commerce server at least one user-activity parameter related to a user of the consumer device; collecting at least one product-related parameter to the at least one product; generating in real-time a price adjustment for purchasing the at least one product, wherein the price adjustment is generated based on the at least one user-activity parameter and the at least one product-related parameter; and displaying of the price adjustment in the electronic shopping cart in association with the at least product type. 2. The method of claim 1, further comprising:
storing the user-activity parameters in a database. 3. The method of claim 1, wherein the message is received from any one of: the consumer device, a web source hosting the e-commerce website. 4. The method of claim 1, wherein the at least one user-activity parameter includes at least one of: behavioral information, shopping history information, and demographic information. 5. The method of claim 1, wherein the at least one product-related parameter includes at least one of: a type of product, a product price, shipping costs, a minimum price for the product, a minimum margin for the product, and an inventory level of the product. 6. The method of claim 5, wherein displaying of the price adjustment is in response to a predefined trigger. 7. The method of claim 6, wherein the predefined trigger is any one of: a predefined time elapsed since the at least one product was initially added to the electronic shopping cart, navigating away from the e-commerce website, and changing a quantity of the at least one product in the electronic shopping cart. 8. The method of claim 1, wherein generating the price adjustment further comprises:
computing an interest score based on the at least one user-activity parameter, wherein the interest score indicates a degree of interest of the user in the at least one product; computing a product score based on the at least one product related parameter, wherein the product score that a price of the at least one product can be adjusted; and computing an adjustment value as a function the interest score and the product score, if the interest score and the product score are above a predefined threshold. 9. The method of claim 8, further comprising:
applying the adjustment value on a current price of the at least one product to result in the price adjustment. 10. A non-transitory computer readable medium having stored thereon instructions for causing one or more processing units to execute the method according to claim 1. 11. A system for generation of real-time personalized price adjustment comprising:
a processor; and, a memory coupled to the processor, the memory containing instructions that, when executed by the processor, configure the system to: receive by an e-commerce server a message that at least one product is added to an electronic shopping cart of an electronic-commerce website (e-commerce) displayed on a consumer device; collect by the e-commerce server at least one user-activity parameter related to a user of the consumer device; collect at least one product-related parameter to the at least one product; generate in real-time a price adjustment for purchasing the at least one product, wherein the price adjustment is generated based on the at least one user-activity parameter and the at least one product-related parameter; and display of the price adjustment in the electronic shopping cart in association with the at least product type. 12. The system of claim 11, further comprising:
storing the user-activity parameters in a database. 13. The system of claim 11, wherein the message is received from any one of:
the consumer device, a web source hosting the e-commerce website. 14. The system of claim 11, wherein the at least one user-activity parameter includes at least one of: behavioral information, shopping history information, and demographic information. 15. The system of claim 11, wherein the at least one product-related parameter includes at least one of: a type of product, a product price, shipping costs, a minimum price for the product, a minimum margin for the product, and an inventory level of the product. 16. The system of claim 15, wherein displaying of the price adjustment is in response to a predefined trigger. 17. The system of claim 16, wherein the predefined trigger is any one of: a predefined time elapsed since the at least one product was initially added to the electronic shopping cart, navigating away from the e-commerce website, and changing a quantity of the at least one product in the electronic shopping cart. 18. The system of claim 11, wherein the system is further configured to:
compute an interest score based on the at least one user-activity parameter, wherein the interest score indicates a degree of interest of the user in the at least one product; compute a product score based on the at least one product related parameter, wherein the product score that a price of the at least one product can be adjusted; and compute an adjustment value as a function the interest score and the product score, if the interest score and the product score are above a predefined threshold. 19. The system of claim 18, the system is further configured to:
apply the adjustment value on a current price of the at least one product to result in the price adjustment. | A method and system for generating a real-time personalized price adjustment are provided. The method includes receiving by an e-commerce server a message that at least one product is added to an electronic shopping cart of an electronic-commerce website (e-commerce) displayed on a consumer device; collecting by the e-commerce server at least one user-activity parameter related to a user of the consumer device; collecting at least one product-related parameter to the at least one product; generating in real-time a price adjustment for purchasing the at least one product, wherein the price adjustment is generated based on the at least one user-activity parameter and the at least one product-related parameter; and displaying of the price adjustment in the electronic shopping cart in association with the at least product type.1. A method for generating a real-time personalized price adjustment, comprising:
receiving by an e-commerce server a message that at least one product is added to an electronic shopping cart of an electronic-commerce website (e-commerce) displayed on a consumer device; collecting by the e-commerce server at least one user-activity parameter related to a user of the consumer device; collecting at least one product-related parameter to the at least one product; generating in real-time a price adjustment for purchasing the at least one product, wherein the price adjustment is generated based on the at least one user-activity parameter and the at least one product-related parameter; and displaying of the price adjustment in the electronic shopping cart in association with the at least product type. 2. The method of claim 1, further comprising:
storing the user-activity parameters in a database. 3. The method of claim 1, wherein the message is received from any one of: the consumer device, a web source hosting the e-commerce website. 4. The method of claim 1, wherein the at least one user-activity parameter includes at least one of: behavioral information, shopping history information, and demographic information. 5. The method of claim 1, wherein the at least one product-related parameter includes at least one of: a type of product, a product price, shipping costs, a minimum price for the product, a minimum margin for the product, and an inventory level of the product. 6. The method of claim 5, wherein displaying of the price adjustment is in response to a predefined trigger. 7. The method of claim 6, wherein the predefined trigger is any one of: a predefined time elapsed since the at least one product was initially added to the electronic shopping cart, navigating away from the e-commerce website, and changing a quantity of the at least one product in the electronic shopping cart. 8. The method of claim 1, wherein generating the price adjustment further comprises:
computing an interest score based on the at least one user-activity parameter, wherein the interest score indicates a degree of interest of the user in the at least one product; computing a product score based on the at least one product related parameter, wherein the product score that a price of the at least one product can be adjusted; and computing an adjustment value as a function the interest score and the product score, if the interest score and the product score are above a predefined threshold. 9. The method of claim 8, further comprising:
applying the adjustment value on a current price of the at least one product to result in the price adjustment. 10. A non-transitory computer readable medium having stored thereon instructions for causing one or more processing units to execute the method according to claim 1. 11. A system for generation of real-time personalized price adjustment comprising:
a processor; and, a memory coupled to the processor, the memory containing instructions that, when executed by the processor, configure the system to: receive by an e-commerce server a message that at least one product is added to an electronic shopping cart of an electronic-commerce website (e-commerce) displayed on a consumer device; collect by the e-commerce server at least one user-activity parameter related to a user of the consumer device; collect at least one product-related parameter to the at least one product; generate in real-time a price adjustment for purchasing the at least one product, wherein the price adjustment is generated based on the at least one user-activity parameter and the at least one product-related parameter; and display of the price adjustment in the electronic shopping cart in association with the at least product type. 12. The system of claim 11, further comprising:
storing the user-activity parameters in a database. 13. The system of claim 11, wherein the message is received from any one of:
the consumer device, a web source hosting the e-commerce website. 14. The system of claim 11, wherein the at least one user-activity parameter includes at least one of: behavioral information, shopping history information, and demographic information. 15. The system of claim 11, wherein the at least one product-related parameter includes at least one of: a type of product, a product price, shipping costs, a minimum price for the product, a minimum margin for the product, and an inventory level of the product. 16. The system of claim 15, wherein displaying of the price adjustment is in response to a predefined trigger. 17. The system of claim 16, wherein the predefined trigger is any one of: a predefined time elapsed since the at least one product was initially added to the electronic shopping cart, navigating away from the e-commerce website, and changing a quantity of the at least one product in the electronic shopping cart. 18. The system of claim 11, wherein the system is further configured to:
compute an interest score based on the at least one user-activity parameter, wherein the interest score indicates a degree of interest of the user in the at least one product; compute a product score based on the at least one product related parameter, wherein the product score that a price of the at least one product can be adjusted; and compute an adjustment value as a function the interest score and the product score, if the interest score and the product score are above a predefined threshold. 19. The system of claim 18, the system is further configured to:
apply the adjustment value on a current price of the at least one product to result in the price adjustment. | 3,600 |
13,612 | 13,612 | 14,538,696 | 3,627 | Example methods and systems are directed to a managed inventory. A database may store information regarding items owned by a user. The information regarding an item may include a quantity owned and one or more triggering events. Based on the occurrence of a triggering event, an order for the item may be placed without user intervention. Data to the database may be provided by one or more sensors. Triggering events may be defined in terms of sensor data. The triggering event may be defined by a user or through machine learning. The order may be placed using a predetermined modality or a dynamically-determined modality based on one or more criteria, such as price, shipping speed, and the urgency of the order. | 1. A method comprising:
identifying a first quantity of an item based on sensor data; accessing a current date; identifying a predetermined threshold based on the current date; comparing the first quantity of the item to the predetermined threshold; determining, by a processor of a machine, that the first quantity is below the threshold; and in response to determining that the first quantity is below the threshold, without user intervention, placing an order for a second quantity of the item. 2. The method of claim 1, wherein the identifying of the first quantity of the item includes identifying a weight of the first quantity of the item. 3. The method of claim 1, wherein the identifying of the first quantity of the item includes analyzing an image of the first quantity of the item. 4. The method of claim 1, further comprising informing a user that the first quantity is below the threshold; and wherein the placing of the order is based on the elapse of a predetermined period of time without user intervention. 5. The method of claim 1, further comprising detecting an average consumption rate of the item over a predetermined period of time; and wherein the predetermined threshold is based on the average consumption rate. 6. The method of claim 1, further comprising:
receiving availability data for the item from a plurality of suppliers; identifying a first supplier for the item from the plurality of suppliers based on order criteria including a price weight and a supplier rank weight; and wherein the placing of the order for the second quantity of the item places the order with the first supplier. 7. The method of claim 6, further comprising:
identifying a second supplier for the item from the plurality of suppliers based on the order criteria; placing an order for a third quantity of the item with the second supplier. 8. A system comprising:
one or more processors of one or more machines configured to perform operations comprising:
identifying a first quantity of an item based on sensor data;
determining an ambient temperature based on the sensor data;
identifying a predetermined threshold based on the ambient temperature;
comparing the first quantity of the item to the predetermined threshold;
determining that the first quantity is below the threshold; and
in response to determining that the first quantity is below the threshold, without user intervention, placing an order for a second quantity of the item. 9. The system of claim 8, wherein the identifying of the first quantity of the item includes identifying a weight of the first quantity of the item. 10. The system of claim 8, wherein the identifying of the first quantity of the item includes analyzing an image of the first quantity of the item. 12. The system of claim 8, wherein the operations further comprise informing a user that the first quantity is below the threshold; and wherein the placing of the order is based on the elapse of a predetermined period of time without user intervention. 13. The system of claim 8, wherein the operations further comprise detecting an average consumption rate of the item over a predetermined period of time; and wherein the predetermined threshold is based on the average consumption rate. 14. The system of claim 8, wherein the operations further comprise:
receiving availability data for the item from a plurality of suppliers; identifying a first supplier for the item from the plurality of suppliers based on order criteria including a price weight and a supplier rank weight; and wherein the placing of the order for the second quantity of the item places the order with the first supplier. 15. A non-transitory machine-readable medium having instructions embodied thereon, the instructions executable by a processor of a machine to perform operations comprising:
identifying a first amount of an item based on sensor data; identifying a present time period; identifying a predetermined threshold based on the present time period; comparing the first amount of the item to the predetermined threshold; and in response to determining that the first amount is below the threshold, without user intervention, placing an order for a second amount of the item. 16. The non-transitory machine-readable medium of claim 15, wherein the identifying of the first quantity of the item includes identifying a weight of the first quantity of the item. 17. The non-transitory machine-readable medium of claim 15, wherein the identifying of the first quantity of the item includes analyzing an image of the first quantity of the item. 18. The non-transitory machine-readable medium of claim 15, wherein the operations further comprise informing a user that the first quantity is below the threshold; and wherein the placing of the order is based on the elapse of a predetermined period of time without user intervention. 19. The non-transitory machine-readable medium of claim 15, wherein the operations further comprise detecting an average consumption rate of the item over a predetermined period of time; and wherein the predetermined threshold is based on the average consumption rate. 20. The non-transitory machine-readable medium of claim 15, wherein the operations further comprise:
receiving availability data for the item from a plurality of suppliers; identifying a first supplier for the item from the plurality of suppliers based on order criteria including a price weight and a supplier rank weight; and wherein the placing of the order for the second quantity of the item places the order with the first supplier. | Example methods and systems are directed to a managed inventory. A database may store information regarding items owned by a user. The information regarding an item may include a quantity owned and one or more triggering events. Based on the occurrence of a triggering event, an order for the item may be placed without user intervention. Data to the database may be provided by one or more sensors. Triggering events may be defined in terms of sensor data. The triggering event may be defined by a user or through machine learning. The order may be placed using a predetermined modality or a dynamically-determined modality based on one or more criteria, such as price, shipping speed, and the urgency of the order.1. A method comprising:
identifying a first quantity of an item based on sensor data; accessing a current date; identifying a predetermined threshold based on the current date; comparing the first quantity of the item to the predetermined threshold; determining, by a processor of a machine, that the first quantity is below the threshold; and in response to determining that the first quantity is below the threshold, without user intervention, placing an order for a second quantity of the item. 2. The method of claim 1, wherein the identifying of the first quantity of the item includes identifying a weight of the first quantity of the item. 3. The method of claim 1, wherein the identifying of the first quantity of the item includes analyzing an image of the first quantity of the item. 4. The method of claim 1, further comprising informing a user that the first quantity is below the threshold; and wherein the placing of the order is based on the elapse of a predetermined period of time without user intervention. 5. The method of claim 1, further comprising detecting an average consumption rate of the item over a predetermined period of time; and wherein the predetermined threshold is based on the average consumption rate. 6. The method of claim 1, further comprising:
receiving availability data for the item from a plurality of suppliers; identifying a first supplier for the item from the plurality of suppliers based on order criteria including a price weight and a supplier rank weight; and wherein the placing of the order for the second quantity of the item places the order with the first supplier. 7. The method of claim 6, further comprising:
identifying a second supplier for the item from the plurality of suppliers based on the order criteria; placing an order for a third quantity of the item with the second supplier. 8. A system comprising:
one or more processors of one or more machines configured to perform operations comprising:
identifying a first quantity of an item based on sensor data;
determining an ambient temperature based on the sensor data;
identifying a predetermined threshold based on the ambient temperature;
comparing the first quantity of the item to the predetermined threshold;
determining that the first quantity is below the threshold; and
in response to determining that the first quantity is below the threshold, without user intervention, placing an order for a second quantity of the item. 9. The system of claim 8, wherein the identifying of the first quantity of the item includes identifying a weight of the first quantity of the item. 10. The system of claim 8, wherein the identifying of the first quantity of the item includes analyzing an image of the first quantity of the item. 12. The system of claim 8, wherein the operations further comprise informing a user that the first quantity is below the threshold; and wherein the placing of the order is based on the elapse of a predetermined period of time without user intervention. 13. The system of claim 8, wherein the operations further comprise detecting an average consumption rate of the item over a predetermined period of time; and wherein the predetermined threshold is based on the average consumption rate. 14. The system of claim 8, wherein the operations further comprise:
receiving availability data for the item from a plurality of suppliers; identifying a first supplier for the item from the plurality of suppliers based on order criteria including a price weight and a supplier rank weight; and wherein the placing of the order for the second quantity of the item places the order with the first supplier. 15. A non-transitory machine-readable medium having instructions embodied thereon, the instructions executable by a processor of a machine to perform operations comprising:
identifying a first amount of an item based on sensor data; identifying a present time period; identifying a predetermined threshold based on the present time period; comparing the first amount of the item to the predetermined threshold; and in response to determining that the first amount is below the threshold, without user intervention, placing an order for a second amount of the item. 16. The non-transitory machine-readable medium of claim 15, wherein the identifying of the first quantity of the item includes identifying a weight of the first quantity of the item. 17. The non-transitory machine-readable medium of claim 15, wherein the identifying of the first quantity of the item includes analyzing an image of the first quantity of the item. 18. The non-transitory machine-readable medium of claim 15, wherein the operations further comprise informing a user that the first quantity is below the threshold; and wherein the placing of the order is based on the elapse of a predetermined period of time without user intervention. 19. The non-transitory machine-readable medium of claim 15, wherein the operations further comprise detecting an average consumption rate of the item over a predetermined period of time; and wherein the predetermined threshold is based on the average consumption rate. 20. The non-transitory machine-readable medium of claim 15, wherein the operations further comprise:
receiving availability data for the item from a plurality of suppliers; identifying a first supplier for the item from the plurality of suppliers based on order criteria including a price weight and a supplier rank weight; and wherein the placing of the order for the second quantity of the item places the order with the first supplier. | 3,600 |
13,613 | 13,613 | 13,421,976 | 3,685 | A computer system for fraud detection in a payment card transaction system is provided. The computer system is programmed to receive a card transaction authorization request message for a payment card transaction initiated with a merchant that includes a plurality of data elements to be verified and a verification request indicator, determine whether the verification request indicator is valid, transmit the request message and verification request indicator to an issuer associated with the payment card, and receive a card transaction authorization response message from the issuer that includes an issuer authorization decision and a verification indicator associated with each data element verified by the issuer. The verification indicator indicates a status of a verification of the data element with data stored in one or more databases of the issuer. The computer system is further programmed to transmit the card transaction authorization response message to the merchant. | 1. A computer system for fraud detection in a payment card transaction system, the computer system comprising:
a memory device for storing data; and a fraud detection computer system comprising a processor, the processor in communication with the memory device, said computer system programmed to:
receive a card transaction authorization request message for a payment card transaction initiated with a merchant, the card transaction authorization request message including a plurality of data elements to be verified and a verification request indicator;
determine whether the verification request indicator is valid;
transmit the card transaction authorization request message and verification request indicator to an issuer associated with the payment card used in the transaction;
receive a card transaction authorization response message from the issuer, the card transaction authorization response message including an issuer authorization decision and a verification indicator associated with each data element verified by the issuer, the verification indicator indicating a status of a verification of the data element with data stored in one or more databases of the issuer; and
transmit the card transaction authorization response message to the merchant. 2. A computer system in accordance with claim 1, wherein said card transaction authorization request message is received from the merchant through an acquirer, and wherein the merchant transmits the card transaction authorization request message to the acquirer with the plurality of data elements to be verified and a verification request message, and the acquirer populates said card transaction authorization request message with said verification request indicator. 3. A computer system in accordance with claim 1, wherein the card transaction authorization response message includes each of the plurality of data elements being verified along with one of the verification indicators provided by the issuer, wherein each of the verification indicators shows whether the issuer has independently verified the corresponding data element of the plurality of data elements using data stored in one or more databases of the issuer. 4. A computer system in accordance with claim 1, wherein each of said verification indicators comprises a determination of at least one of a match of the transmitted data element with a respective data element stored in the one or more databases of the issuer, a no-match of the transmitted data element with a respective data element stored in the one or more databases of the issuer, and a not-available response. 5. A computer system in accordance with claim 1, wherein said computer system is further programmed to receive a card transaction authorization request message for a card-not-present transaction. 6. A computer system in accordance with claim 1, wherein said plurality of data elements to be verified comprises at least one of a cardholder name, a cardholder home phone number, a cardholder work phone number, a cardholder mobile phone number, a cardholder email address, a cardholder IP address, a cardholder street address, a cardholder device ID, a ship-to address, and a merchant risk assessment. 7. A computer system in accordance with claim 1, wherein said computer system receives the card transaction authorization request message from the merchant, wherein the merchant transmits the plurality of data elements to be verified by the issuer. 8. A computer system in accordance with claim 1, wherein said computer system is associated with an interchange network, and the card transaction authorization request message is submitted as part of a transaction authorization process. 9. A computer system in accordance with claim 1, wherein the card transaction authorization request message comprises a web call request message that is received by said computer system over a wide-area network through an open application programming interface. 10. A computer system in accordance with claim 1, wherein said computer system is programmed to receive a card transaction authorization request message for a payment card transaction as part of a fraud detection verification service, and wherein said computer system is programmed to determine whether the verification request indicator is valid by determining that the verification request is present within the card transaction authorization request message, and that the corresponding issuer supports the fraud detection verification service. 11. A method of detecting fraud in a payment card transaction using a fraud detection computing device in communication with a memory device, said method comprising:
receiving, at the fraud detection computing device, a card transaction authorization request message for a payment card transaction initiated with a merchant, the card transaction authorization request message including a plurality of data elements to be verified and a verification request indicator; determining whether the verification request indicator is valid; transmitting the card transaction authorization request message and verification request indicator to an issuer computing device, the issuer computing device associated with an issuer bank having issued the payment card used in the transaction; receiving a card transaction authorization response message from the issuer computing device, the card transaction authorization response message including an issuer authorization decision and a verification indicator associated with each data element verified by the issuer, the verification indicator indicating a status of a verification of the data element with data stored in one or more databases of the issuer; and transmitting the card transaction authorization response message to the merchant. 12. A method in accordance with claim 11 wherein receiving a card transaction authorization request message further comprises receiving, at the fraud detection computing device, the card transaction authorization request message from the merchant through an acquirer, the merchant transmitting the card transaction authorization request message to the acquirer with the plurality of data elements to be verified and a verification request message, and the acquirer populating the card transaction authorization request message with the verification request indicator. 13. A method in accordance with claim 11 wherein receiving a card transaction authorization response message further comprises receiving the card transaction authorization response message from the issuer computing device, wherein the card transaction authorization response message includes each of the plurality of data elements being verified along with one of the verification indicators provided by the issuer, and wherein each of the verification indicators shows whether the issuer has independently verified the corresponding data element of the plurality of data elements using data stored in one or more databases of the issuer. 14. A method in accordance with claim 11 wherein receiving a card transaction authorization response message further comprises receiving the card transaction authorization response message from the issuer computing device, wherein each of said verification indicators includes a determination of at least one of a match of the transmitted data element with a respective data element stored in the one or more databases of the issuer, a no-match of the transmitted data element with a respective data element stored in the one or more databases of the issuer, and a not-available response. 15. A method in accordance with claim 11 wherein receiving a card transaction authorization request message further comprises receiving the card transaction authorization request message for a card-not-present transaction. 16. A method in accordance with claim 11 wherein receiving a card transaction authorization request message further comprises receiving the card transaction authorization request message including a plurality of data elements to be verified, wherein said plurality of data elements to be verified includes at least one of a cardholder name, a cardholder home phone number, a cardholder work phone number, a cardholder mobile phone number, a cardholder email address, a cardholder IP address, a cardholder street address, a cardholder device ID, a ship-to address, and a merchant risk assessment. 17. A method in accordance with claim 11 wherein receiving a card transaction authorization request message further comprises receiving the card transaction authorization request message from the merchant, wherein the merchant transmits the plurality of data elements to be verified by the issuer. 18. A method in accordance with claim 11 wherein the fraud detection computing device is associated with an interchange network, and the card transaction authorization request message is submitted as part of a transaction authorization process. 19. A method in accordance with claim 11 wherein receiving a card transaction authorization request message further comprises receiving a web call request message at the fraud detection computing device via a wide-area network and an open application programming interface. 20. A method in accordance with claim 11 further comprising:
receiving the card transaction authorization request message for a payment card transaction as part of a fraud detection verification service; and determining whether the verification request indicator is valid by determining that the verification request is present within the card transaction authorization request message, and that the corresponding issuer supports the fraud detection verification service. 21. At least one non-transitory computer-readable storage media having computer-executable instructions embodied thereon, wherein when executed by at least one processor, the computer-executable instructions cause the processor to:
receive a card transaction authorization request message for a payment card transaction initiated with a merchant, the card transaction authorization request message including a plurality of data elements to be verified and a verification request indicator; determine whether the verification request indicator is valid; transmit the card transaction authorization request message and verification request indicator to an issuer associated with the payment card used in the transaction; receive a card transaction authorization response message from the issuer, the card transaction authorization response message including an issuer authorization decision and a verification indicator associated with each data element verified by the issuer, the verification indicator indicating a status of a verification of the data element with data stored in one or more databases of the issuer; and transmit the card transaction authorization response message to the merchant. 22. The computer-readable storage media of claim 21, wherein the computer-executable instructions further cause the processor to receive the card transaction authorization request message from the merchant through an acquirer, and wherein the merchant transmits the card transaction authorization request message to the acquirer with the plurality of data elements to be verified and a verification request message, and the acquirer populates said card transaction authorization request message with said verification request indicator. 23. The computer-readable storage media of claim 21, wherein the computer-executable instructions further cause the processor to receive the card transaction authorization response message from the issuer, wherein the card transaction authorization response message includes a verification indicator associated with each data element verified by the issuer, and wherein each of the verification indicators comprise a determination of at least one of a match of the transmitted data element with a respective data element stored in the one or more databases of the issuer, a no-match of the transmitted data element with a respective data element stored in the one or more databases of the issuer, and a not-available response. 24. The computer-readable storage media of claim 21, wherein the computer-executable instructions further cause the processor to receive the card transaction authorization request message including a plurality of data elements to be verified, wherein the plurality of data elements to be verified comprises at least one of a cardholder name, a cardholder home phone number, a cardholder work phone number, a cardholder mobile phone number, a cardholder email address, a cardholder IP address, a cardholder street address, a cardholder device ID, a ship-to address, and a merchant risk assessment. | A computer system for fraud detection in a payment card transaction system is provided. The computer system is programmed to receive a card transaction authorization request message for a payment card transaction initiated with a merchant that includes a plurality of data elements to be verified and a verification request indicator, determine whether the verification request indicator is valid, transmit the request message and verification request indicator to an issuer associated with the payment card, and receive a card transaction authorization response message from the issuer that includes an issuer authorization decision and a verification indicator associated with each data element verified by the issuer. The verification indicator indicates a status of a verification of the data element with data stored in one or more databases of the issuer. The computer system is further programmed to transmit the card transaction authorization response message to the merchant.1. A computer system for fraud detection in a payment card transaction system, the computer system comprising:
a memory device for storing data; and a fraud detection computer system comprising a processor, the processor in communication with the memory device, said computer system programmed to:
receive a card transaction authorization request message for a payment card transaction initiated with a merchant, the card transaction authorization request message including a plurality of data elements to be verified and a verification request indicator;
determine whether the verification request indicator is valid;
transmit the card transaction authorization request message and verification request indicator to an issuer associated with the payment card used in the transaction;
receive a card transaction authorization response message from the issuer, the card transaction authorization response message including an issuer authorization decision and a verification indicator associated with each data element verified by the issuer, the verification indicator indicating a status of a verification of the data element with data stored in one or more databases of the issuer; and
transmit the card transaction authorization response message to the merchant. 2. A computer system in accordance with claim 1, wherein said card transaction authorization request message is received from the merchant through an acquirer, and wherein the merchant transmits the card transaction authorization request message to the acquirer with the plurality of data elements to be verified and a verification request message, and the acquirer populates said card transaction authorization request message with said verification request indicator. 3. A computer system in accordance with claim 1, wherein the card transaction authorization response message includes each of the plurality of data elements being verified along with one of the verification indicators provided by the issuer, wherein each of the verification indicators shows whether the issuer has independently verified the corresponding data element of the plurality of data elements using data stored in one or more databases of the issuer. 4. A computer system in accordance with claim 1, wherein each of said verification indicators comprises a determination of at least one of a match of the transmitted data element with a respective data element stored in the one or more databases of the issuer, a no-match of the transmitted data element with a respective data element stored in the one or more databases of the issuer, and a not-available response. 5. A computer system in accordance with claim 1, wherein said computer system is further programmed to receive a card transaction authorization request message for a card-not-present transaction. 6. A computer system in accordance with claim 1, wherein said plurality of data elements to be verified comprises at least one of a cardholder name, a cardholder home phone number, a cardholder work phone number, a cardholder mobile phone number, a cardholder email address, a cardholder IP address, a cardholder street address, a cardholder device ID, a ship-to address, and a merchant risk assessment. 7. A computer system in accordance with claim 1, wherein said computer system receives the card transaction authorization request message from the merchant, wherein the merchant transmits the plurality of data elements to be verified by the issuer. 8. A computer system in accordance with claim 1, wherein said computer system is associated with an interchange network, and the card transaction authorization request message is submitted as part of a transaction authorization process. 9. A computer system in accordance with claim 1, wherein the card transaction authorization request message comprises a web call request message that is received by said computer system over a wide-area network through an open application programming interface. 10. A computer system in accordance with claim 1, wherein said computer system is programmed to receive a card transaction authorization request message for a payment card transaction as part of a fraud detection verification service, and wherein said computer system is programmed to determine whether the verification request indicator is valid by determining that the verification request is present within the card transaction authorization request message, and that the corresponding issuer supports the fraud detection verification service. 11. A method of detecting fraud in a payment card transaction using a fraud detection computing device in communication with a memory device, said method comprising:
receiving, at the fraud detection computing device, a card transaction authorization request message for a payment card transaction initiated with a merchant, the card transaction authorization request message including a plurality of data elements to be verified and a verification request indicator; determining whether the verification request indicator is valid; transmitting the card transaction authorization request message and verification request indicator to an issuer computing device, the issuer computing device associated with an issuer bank having issued the payment card used in the transaction; receiving a card transaction authorization response message from the issuer computing device, the card transaction authorization response message including an issuer authorization decision and a verification indicator associated with each data element verified by the issuer, the verification indicator indicating a status of a verification of the data element with data stored in one or more databases of the issuer; and transmitting the card transaction authorization response message to the merchant. 12. A method in accordance with claim 11 wherein receiving a card transaction authorization request message further comprises receiving, at the fraud detection computing device, the card transaction authorization request message from the merchant through an acquirer, the merchant transmitting the card transaction authorization request message to the acquirer with the plurality of data elements to be verified and a verification request message, and the acquirer populating the card transaction authorization request message with the verification request indicator. 13. A method in accordance with claim 11 wherein receiving a card transaction authorization response message further comprises receiving the card transaction authorization response message from the issuer computing device, wherein the card transaction authorization response message includes each of the plurality of data elements being verified along with one of the verification indicators provided by the issuer, and wherein each of the verification indicators shows whether the issuer has independently verified the corresponding data element of the plurality of data elements using data stored in one or more databases of the issuer. 14. A method in accordance with claim 11 wherein receiving a card transaction authorization response message further comprises receiving the card transaction authorization response message from the issuer computing device, wherein each of said verification indicators includes a determination of at least one of a match of the transmitted data element with a respective data element stored in the one or more databases of the issuer, a no-match of the transmitted data element with a respective data element stored in the one or more databases of the issuer, and a not-available response. 15. A method in accordance with claim 11 wherein receiving a card transaction authorization request message further comprises receiving the card transaction authorization request message for a card-not-present transaction. 16. A method in accordance with claim 11 wherein receiving a card transaction authorization request message further comprises receiving the card transaction authorization request message including a plurality of data elements to be verified, wherein said plurality of data elements to be verified includes at least one of a cardholder name, a cardholder home phone number, a cardholder work phone number, a cardholder mobile phone number, a cardholder email address, a cardholder IP address, a cardholder street address, a cardholder device ID, a ship-to address, and a merchant risk assessment. 17. A method in accordance with claim 11 wherein receiving a card transaction authorization request message further comprises receiving the card transaction authorization request message from the merchant, wherein the merchant transmits the plurality of data elements to be verified by the issuer. 18. A method in accordance with claim 11 wherein the fraud detection computing device is associated with an interchange network, and the card transaction authorization request message is submitted as part of a transaction authorization process. 19. A method in accordance with claim 11 wherein receiving a card transaction authorization request message further comprises receiving a web call request message at the fraud detection computing device via a wide-area network and an open application programming interface. 20. A method in accordance with claim 11 further comprising:
receiving the card transaction authorization request message for a payment card transaction as part of a fraud detection verification service; and determining whether the verification request indicator is valid by determining that the verification request is present within the card transaction authorization request message, and that the corresponding issuer supports the fraud detection verification service. 21. At least one non-transitory computer-readable storage media having computer-executable instructions embodied thereon, wherein when executed by at least one processor, the computer-executable instructions cause the processor to:
receive a card transaction authorization request message for a payment card transaction initiated with a merchant, the card transaction authorization request message including a plurality of data elements to be verified and a verification request indicator; determine whether the verification request indicator is valid; transmit the card transaction authorization request message and verification request indicator to an issuer associated with the payment card used in the transaction; receive a card transaction authorization response message from the issuer, the card transaction authorization response message including an issuer authorization decision and a verification indicator associated with each data element verified by the issuer, the verification indicator indicating a status of a verification of the data element with data stored in one or more databases of the issuer; and transmit the card transaction authorization response message to the merchant. 22. The computer-readable storage media of claim 21, wherein the computer-executable instructions further cause the processor to receive the card transaction authorization request message from the merchant through an acquirer, and wherein the merchant transmits the card transaction authorization request message to the acquirer with the plurality of data elements to be verified and a verification request message, and the acquirer populates said card transaction authorization request message with said verification request indicator. 23. The computer-readable storage media of claim 21, wherein the computer-executable instructions further cause the processor to receive the card transaction authorization response message from the issuer, wherein the card transaction authorization response message includes a verification indicator associated with each data element verified by the issuer, and wherein each of the verification indicators comprise a determination of at least one of a match of the transmitted data element with a respective data element stored in the one or more databases of the issuer, a no-match of the transmitted data element with a respective data element stored in the one or more databases of the issuer, and a not-available response. 24. The computer-readable storage media of claim 21, wherein the computer-executable instructions further cause the processor to receive the card transaction authorization request message including a plurality of data elements to be verified, wherein the plurality of data elements to be verified comprises at least one of a cardholder name, a cardholder home phone number, a cardholder work phone number, a cardholder mobile phone number, a cardholder email address, a cardholder IP address, a cardholder street address, a cardholder device ID, a ship-to address, and a merchant risk assessment. | 3,600 |
13,614 | 13,614 | 16,064,146 | 3,626 | A health management system includes a processor, a searchable multi-dimensional data representation of the performance of an entire health care delivery system accessible by the processor, in which the performance of every healthcare provider, including downstream providers, that are delivering services is distilled down to a clinically credible measure of actual versus expected performance at analytic points across a comprehensive set of quality outcomes and resource utilization measures wherein the performance matrix has multiple dimensions, and a memory device coupled to the processor and having a program stored thereon for execution by the processor to perform operations. The operations include creating the multi-dimensional data representation to obtain performance measures of a selected healthcare provider and accessing the multi-dimensional data representation to obtain performance measures of the selected healthcare provider. | 1. A health management system comprising:
a processor; a searchable multi-dimensional data representation of the performance of an entire health care delivery system accessible by the processor, in which the performance of every healthcare provider, including downstream providers, that are delivering services is distilled down to a clinically credible measure of actual versus expected performance at analytic points across a comprehensive set of quality outcomes and resource utilization measures wherein the performance matrix has multiple dimensions including individual health care providers, sites of service, quality outcomes and resource use measures, type of patients, time periods covered, geographic location of provider and patient, and the patient's payer; a memory device coupled to the processor and having a program stored thereon for execution by the processor to perform operations comprising:
creating the multi-dimensional data representation to obtain performance measures of a selected healthcare provider; and
accessing the multi-dimensional data representation to obtain performance measures of the selected healthcare provider,
wherein each analytic point in the performance matrix contains a pre-processed specific measure of performance expressed as a difference between actual and expected along with the financial impact of the difference wherein expected values are risk adjusted to account for differences in case mix, and wherein the pre-processed specific measure of performance of each analytic point is pre-calculated using indirect rate standardization based on an exhaustive and mutually exclusive set of risk groups for risk adjustment. 2. The health management system of claim 1 wherein the clinically credible measure comprises at least one of readmission rate and complication rate. 3. The health management system of claim 1 wherein the healthcare providers include at least multiple of hospitals, nursing homes, home health care agencies, specialists, and physicians. 4. The health management system of claim 1 wherein the types of patients include at least one of encounters for a procedure, encounters for chronic or acute disease management, disease cohorts of patients, episodes of care, and population management. 5. The health management system of claim 1 wherein a performance dimension of the performance matrix is broken into a resources portion and a quality outcomes portion. 6. The health management system of claim 5 wherein the resource portions includes at least one of length of stay, laboratory, pharmacy, and radiology, and wherein the outcomes portion includes at least one of readmissions, complications, emergency room visits, and mortality. 7. (canceled) 8. The health management system of claim 1 wherein for each risk group (g) for each performance measure (m), a target value (T(g,m)) is established based on an actual historical average value in a reference database, and wherein for service provider (p) for measure (m), an expected value (E(p,m)) is the sum of overall risk groups of the product of the number of patients/enrollees in each risk group (N(p,m,g) times the corresponding target value (T(g,m) divided by the total number of patients/enrollees expressed as:
E(p,m)=sum over g [N(p,m,g)*T(g,m)]/sum over g N(p,m,g)
and wherein the difference between the service provider's actual value and the expected value is expressed as above expected (negative performance) or below expected (positive performance). 9. A non-transitory machine readable storage device having instructions for execution by a processor of the machine to perform:
accessing payer data for multiple providers in a health care delivery system; conforming the accessed payer data to a standard format; populating, based on the accessed payer data, a multi-dimensional data representation of the performance of an entire health care delivery system accessible by the processor, in which the performance of every healthcare provider, including downstream providers, that are delivering services is distilled down to a clinically credible measure of actual versus expected performance at analytic points across a comprehensive set of quality outcomes and resource utilization measures wherein the performance matrix has multiple dimensions including individual health care providers, sites of service, quality outcomes and resource use measures, type of patients, time periods covered, geographic location of provider and patient and the patient's payer; creating the multi-dimensional data representation to obtain performance measures of a selected healthcare provider; and accessing the multi-dimensional data representation to obtain performance measures of the selected healthcare provider, wherein each analytic point in the performance matrix contains a pre-processed specific measure of performance expressed as a difference between actual and expected along with the financial impact of the difference wherein expected values are risk adjusted to account for differences in case mix, and wherein the pre-processed specific measure of performance of each analytic point is pre-calculated using indirect rate standardization based on an exhaustive and mutually exclusive set of risk groups for risk adjustment. 10. The non-transitory machine readable storage device of claim 9 wherein the clinically credible measure comprises at least one of readmission rate and complication rate, wherein the healthcare providers include at least multiple of hospitals, nursing homes, home health care agencies, specialists, and physicians, wherein the types of patients include at least one of encounters for a procedure, encounters for chronic or acute disease management, disease cohorts of patients, episodes of care, and population management, and wherein a performance dimension of the performance matrix is broken into a resources portion and an quality outcomes portion, wherein the resource portions include at least one of length of stay, laboratory, pharmacy, and radiology, wherein the outcomes portion includes at least one of readmissions, complications, emergency room visits, and mortality, and wherein each analytic point in the performance matrix contains a pre-processed specific measure of performance expressed as a difference between actual and expected along with the financial impact of the difference, wherein expected values are risk adjusted to account for differences in case mix. 11. The non-transitory machine readable storage device of claim 10 wherein the pre-processed specific measure of performance of each analytic point is pre-calculated using indirect rate standardization based on an exhaustive and mutually exclusive set of risk groups for risk adjustment. 12. The non-transitory machine readable storage device of claim 11 wherein for each risk group (g) for each performance measure (m), a target value (T(g,m)) is established based on an actual historical average value in a reference database, and wherein for service provider (p) for measure (m), an expected value (E(p,m)) is the sum of overall risk groups of the product of the number of patients/enrollees in each risk group (N(p,m,g) times the corresponding target value (T(g,m) divided by the total number of patients/enrollees expressed as:
E(p,m)=sum over g [N(p,m,g)*T(g,m)]/sum over g N(p,m,g)
and wherein the difference between the service provider's actual value and the expected value is expressed as above expected (negative performance) or below expected (positive performance). 13. A health management system comprising:
a searchable multi-dimensional data representation of the performance of an entire health care delivery system accessible by one or more processors, in which the performance of every healthcare provider, including downstream providers, that are delivering services, is distilled down to a clinically credible measure of actual versus expected performance at analytic points across a comprehensive set of quality outcomes and resource utilization measures; a memory device coupled to the processor and having a program stored thereon for execution by the one or more processors to perform operations comprising:
creating the multi-dimensional data representation to obtain performance measures of a selected healthcare provider; and
accessing the multi-dimensional data representation to obtain performance measures of the selected healthcare provider,
wherein each analytic point in the performance matrix contains a pre-processed specific measure of performance expressed as a difference between actual and expected along with the financial impact of the difference wherein expected values are risk adjusted to account for differences in case mix, and wherein the pre-processed specific measure of performance of each analytic point is pre-calculated using indirect rate standardization based on an exhaustive and mutually exclusive set of risk groups for risk adjustment. 14. The health management system of claim 13 wherein the clinically credible measure comprises at least one of readmission rate and complication rate, wherein the performance matrix has multiple dimensions including individual health care providers, sites of service, quality outcomes and resource use measures, type of patients, time periods covered, geographic location of provider and patient and the patient's payer, wherein the healthcare providers include at least multiple of hospitals, nursing homes, home health care agencies, specialists, and physicians, wherein the types of patients include at least one of encounters for a procedure, encounters for chronic or acute disease management, disease cohorts of patients, episodes of care, and population management, wherein a performance dimension of the performance matrix is broken into a resources portion and an outcomes portion, wherein the resource portions include at least one of length of stay, laboratory, pharmacy, and radiology, wherein the outcomes portion includes at least one of readmissions, complications, emergency room visits, and mortality. 15. The health management system of claim 13 wherein each analytic point in the performance matrix contains a pre-processed specific measure of performance expressed as a difference between actual and expected along with the financial impact of the difference, wherein expected values are risk adjusted to account for differences in case mix, wherein the pre-processed specific measure of performance of each analytic point is pre-calculated using indirect rate standardization based on an exhaustive and mutually exclusive set of risk groups for risk adjustment, wherein for each risk group (g) for each performance measure (m), a target value (T(g,m)) is established based on an actual historical average value in a reference database, and wherein for service provider (p) for measure (m), an expected value (E(p,m)) is the sum of overall risk groups of the product of the number of patients/enrollees in each risk group (N(p,m,g) times the corresponding target value (T(g,m) divided by the total number of patients/enrollees expressed as:
E(p,m)=sum over g [N(p,m,g)*T(g,m)]/sum over g N(p,m,g)
and wherein the difference between the service provider's actual value and the expected value is expressed as above expected (negative performance) or below expected (positive performance). | A health management system includes a processor, a searchable multi-dimensional data representation of the performance of an entire health care delivery system accessible by the processor, in which the performance of every healthcare provider, including downstream providers, that are delivering services is distilled down to a clinically credible measure of actual versus expected performance at analytic points across a comprehensive set of quality outcomes and resource utilization measures wherein the performance matrix has multiple dimensions, and a memory device coupled to the processor and having a program stored thereon for execution by the processor to perform operations. The operations include creating the multi-dimensional data representation to obtain performance measures of a selected healthcare provider and accessing the multi-dimensional data representation to obtain performance measures of the selected healthcare provider.1. A health management system comprising:
a processor; a searchable multi-dimensional data representation of the performance of an entire health care delivery system accessible by the processor, in which the performance of every healthcare provider, including downstream providers, that are delivering services is distilled down to a clinically credible measure of actual versus expected performance at analytic points across a comprehensive set of quality outcomes and resource utilization measures wherein the performance matrix has multiple dimensions including individual health care providers, sites of service, quality outcomes and resource use measures, type of patients, time periods covered, geographic location of provider and patient, and the patient's payer; a memory device coupled to the processor and having a program stored thereon for execution by the processor to perform operations comprising:
creating the multi-dimensional data representation to obtain performance measures of a selected healthcare provider; and
accessing the multi-dimensional data representation to obtain performance measures of the selected healthcare provider,
wherein each analytic point in the performance matrix contains a pre-processed specific measure of performance expressed as a difference between actual and expected along with the financial impact of the difference wherein expected values are risk adjusted to account for differences in case mix, and wherein the pre-processed specific measure of performance of each analytic point is pre-calculated using indirect rate standardization based on an exhaustive and mutually exclusive set of risk groups for risk adjustment. 2. The health management system of claim 1 wherein the clinically credible measure comprises at least one of readmission rate and complication rate. 3. The health management system of claim 1 wherein the healthcare providers include at least multiple of hospitals, nursing homes, home health care agencies, specialists, and physicians. 4. The health management system of claim 1 wherein the types of patients include at least one of encounters for a procedure, encounters for chronic or acute disease management, disease cohorts of patients, episodes of care, and population management. 5. The health management system of claim 1 wherein a performance dimension of the performance matrix is broken into a resources portion and a quality outcomes portion. 6. The health management system of claim 5 wherein the resource portions includes at least one of length of stay, laboratory, pharmacy, and radiology, and wherein the outcomes portion includes at least one of readmissions, complications, emergency room visits, and mortality. 7. (canceled) 8. The health management system of claim 1 wherein for each risk group (g) for each performance measure (m), a target value (T(g,m)) is established based on an actual historical average value in a reference database, and wherein for service provider (p) for measure (m), an expected value (E(p,m)) is the sum of overall risk groups of the product of the number of patients/enrollees in each risk group (N(p,m,g) times the corresponding target value (T(g,m) divided by the total number of patients/enrollees expressed as:
E(p,m)=sum over g [N(p,m,g)*T(g,m)]/sum over g N(p,m,g)
and wherein the difference between the service provider's actual value and the expected value is expressed as above expected (negative performance) or below expected (positive performance). 9. A non-transitory machine readable storage device having instructions for execution by a processor of the machine to perform:
accessing payer data for multiple providers in a health care delivery system; conforming the accessed payer data to a standard format; populating, based on the accessed payer data, a multi-dimensional data representation of the performance of an entire health care delivery system accessible by the processor, in which the performance of every healthcare provider, including downstream providers, that are delivering services is distilled down to a clinically credible measure of actual versus expected performance at analytic points across a comprehensive set of quality outcomes and resource utilization measures wherein the performance matrix has multiple dimensions including individual health care providers, sites of service, quality outcomes and resource use measures, type of patients, time periods covered, geographic location of provider and patient and the patient's payer; creating the multi-dimensional data representation to obtain performance measures of a selected healthcare provider; and accessing the multi-dimensional data representation to obtain performance measures of the selected healthcare provider, wherein each analytic point in the performance matrix contains a pre-processed specific measure of performance expressed as a difference between actual and expected along with the financial impact of the difference wherein expected values are risk adjusted to account for differences in case mix, and wherein the pre-processed specific measure of performance of each analytic point is pre-calculated using indirect rate standardization based on an exhaustive and mutually exclusive set of risk groups for risk adjustment. 10. The non-transitory machine readable storage device of claim 9 wherein the clinically credible measure comprises at least one of readmission rate and complication rate, wherein the healthcare providers include at least multiple of hospitals, nursing homes, home health care agencies, specialists, and physicians, wherein the types of patients include at least one of encounters for a procedure, encounters for chronic or acute disease management, disease cohorts of patients, episodes of care, and population management, and wherein a performance dimension of the performance matrix is broken into a resources portion and an quality outcomes portion, wherein the resource portions include at least one of length of stay, laboratory, pharmacy, and radiology, wherein the outcomes portion includes at least one of readmissions, complications, emergency room visits, and mortality, and wherein each analytic point in the performance matrix contains a pre-processed specific measure of performance expressed as a difference between actual and expected along with the financial impact of the difference, wherein expected values are risk adjusted to account for differences in case mix. 11. The non-transitory machine readable storage device of claim 10 wherein the pre-processed specific measure of performance of each analytic point is pre-calculated using indirect rate standardization based on an exhaustive and mutually exclusive set of risk groups for risk adjustment. 12. The non-transitory machine readable storage device of claim 11 wherein for each risk group (g) for each performance measure (m), a target value (T(g,m)) is established based on an actual historical average value in a reference database, and wherein for service provider (p) for measure (m), an expected value (E(p,m)) is the sum of overall risk groups of the product of the number of patients/enrollees in each risk group (N(p,m,g) times the corresponding target value (T(g,m) divided by the total number of patients/enrollees expressed as:
E(p,m)=sum over g [N(p,m,g)*T(g,m)]/sum over g N(p,m,g)
and wherein the difference between the service provider's actual value and the expected value is expressed as above expected (negative performance) or below expected (positive performance). 13. A health management system comprising:
a searchable multi-dimensional data representation of the performance of an entire health care delivery system accessible by one or more processors, in which the performance of every healthcare provider, including downstream providers, that are delivering services, is distilled down to a clinically credible measure of actual versus expected performance at analytic points across a comprehensive set of quality outcomes and resource utilization measures; a memory device coupled to the processor and having a program stored thereon for execution by the one or more processors to perform operations comprising:
creating the multi-dimensional data representation to obtain performance measures of a selected healthcare provider; and
accessing the multi-dimensional data representation to obtain performance measures of the selected healthcare provider,
wherein each analytic point in the performance matrix contains a pre-processed specific measure of performance expressed as a difference between actual and expected along with the financial impact of the difference wherein expected values are risk adjusted to account for differences in case mix, and wherein the pre-processed specific measure of performance of each analytic point is pre-calculated using indirect rate standardization based on an exhaustive and mutually exclusive set of risk groups for risk adjustment. 14. The health management system of claim 13 wherein the clinically credible measure comprises at least one of readmission rate and complication rate, wherein the performance matrix has multiple dimensions including individual health care providers, sites of service, quality outcomes and resource use measures, type of patients, time periods covered, geographic location of provider and patient and the patient's payer, wherein the healthcare providers include at least multiple of hospitals, nursing homes, home health care agencies, specialists, and physicians, wherein the types of patients include at least one of encounters for a procedure, encounters for chronic or acute disease management, disease cohorts of patients, episodes of care, and population management, wherein a performance dimension of the performance matrix is broken into a resources portion and an outcomes portion, wherein the resource portions include at least one of length of stay, laboratory, pharmacy, and radiology, wherein the outcomes portion includes at least one of readmissions, complications, emergency room visits, and mortality. 15. The health management system of claim 13 wherein each analytic point in the performance matrix contains a pre-processed specific measure of performance expressed as a difference between actual and expected along with the financial impact of the difference, wherein expected values are risk adjusted to account for differences in case mix, wherein the pre-processed specific measure of performance of each analytic point is pre-calculated using indirect rate standardization based on an exhaustive and mutually exclusive set of risk groups for risk adjustment, wherein for each risk group (g) for each performance measure (m), a target value (T(g,m)) is established based on an actual historical average value in a reference database, and wherein for service provider (p) for measure (m), an expected value (E(p,m)) is the sum of overall risk groups of the product of the number of patients/enrollees in each risk group (N(p,m,g) times the corresponding target value (T(g,m) divided by the total number of patients/enrollees expressed as:
E(p,m)=sum over g [N(p,m,g)*T(g,m)]/sum over g N(p,m,g)
and wherein the difference between the service provider's actual value and the expected value is expressed as above expected (negative performance) or below expected (positive performance). | 3,600 |
13,615 | 13,615 | 13,599,517 | 3,629 | Information relating to intellectual property, across one or more intellectual property applications having various types of intellectual property data, can be provided and/or accessed in an integrated manner. Commonality(ies) are determined between disparate intellectual property applications, that may be applied by the intellectual property applications in accessing the intellectual property information. Responsive to a user request, which may include a specified commonality, stored information regarding the disparate data corresponding to the disparate intellectual property applications is retrieved. The commonality is utilized in bridging the gap to the intellectual property data for the disparate intellectual property applications. The bridging is provided by use of a commonality and by an IP engine. | 1-20. (canceled) 21. A method for administering licenses, comprising:
providing a data store which is configured to store a plurality of license agreements; providing, in the computer processor device, a schedule of anticipated payments by licensees according to respective schedules in the license agreements; and tracking, in the computer processor device, actual payments of royalties paid by licensees according to respective schedules in the license agreement. 22. The method of claim 21, further comprising
tracking, in the computer processor device, non-compliance with the schedule of anticipated payments by the licensees of the license agreements; and notifying, in the computer processor device, a licensee, when an actual payment in one of the license agreements is late. 23. The method of claim 21, further comprising
including, in the computer processor device, an adjustment to the anticipated payment according to the license agreement, when an actual payment in one of the license agreements is late. 24. The method of claim 21, further comprising
grouping, in the computer processor device, intellectual property assets that are to be linked to one of the license agreements. 25. The method of claim 21, further comprising
tracking, in the computer processor device, actual activity by the licensee in producing products in connection with one of the license agreements; and comparing, in the computer processor device, the actual activity by the licensee pursuant to one of the license agreements with the activity permitted under the one of the license agreements. 26. The method of claim 25, further comprising
providing, in the computer processor device, a notification when the actual activity by the licensee under one of the license agreements is out of compliance with the activity permitted under the one of the license agreements. 27. A system, implemented on at least one computer, for administering licenses, comprising:
a data store configured to store a plurality of license agreements; and a processor cooperatively operable with the data store, the processor being configured to
provide a schedule of anticipated payments by licensees according to respective schedules in the license agreements; and
track actual payments of royalties paid by licensees according to respective schedules in the license agreement. 28. The system of claim 27, wherein the processor is further configured to
track non-compliance with the schedule of anticipated payments by the licensees of the license agreements; and notify a licensee, when an actual payment in one of the license agreements is late. 29. The system of claim 27, wherein the processor is further configured to
include an adjustment to the anticipated payment according to the license agreement, when an actual payment in one of the license agreements is late. 30. The system of claim 27, wherein the processor is further configured to
group intellectual property assets that are to be linked to one of the license agreements. 31. The system of claim 27, wherein the processor is further configured to
track actual activity by the licensee in producing products in connection with one of the license agreements; and compare the actual activity by the licensee pursuant to one of the license agreements with the activity permitted under the one of the license agreements. 32. The system of claim 27, wherein the processor is further configured to
provide a notification when the actual activity by the licensee under one of the license agreements is out of compliance with the activity permitted under the one of the license agreements. 33. A computer program stored on a non-transitory computer-readable medium with a method for administering licenses, the program comprising computer-executable steps for:
providing a data store which is configured to store a plurality of license agreements; providing a schedule of anticipated payments by licensees according to respective schedules in the license agreements; and tracking actual payments of royalties paid by licensees according to respective schedules in the license agreement. 34. The computer program of claim 33, further comprising
tracking non-compliance with the schedule of anticipated payments by the licensees of the license agreements; and notifying a licensee, when an actual payment in one of the license agreements is late. 35. The computer program of claim 33, further comprising
including an adjustment to the anticipated payment according to the license agreement, when an actual payment in one of the license agreements is late. 36. The computer program of claim 33, further comprising
grouping intellectual property assets that are to be linked to one of the license agreements. 37. The computer program of claim 33, further comprising
tracking actual activity by the licensee in producing products in connection with one of the license agreements; and comparing the actual activity by the licensee pursuant to one of the license agreements with the activity permitted under the one of the license agreements. 38. The computer program of claim 33, further comprising
providing a notification when the actual activity by the licensee under one of the license agreements is out of compliance with the activity permitted under the one of the license agreements. | Information relating to intellectual property, across one or more intellectual property applications having various types of intellectual property data, can be provided and/or accessed in an integrated manner. Commonality(ies) are determined between disparate intellectual property applications, that may be applied by the intellectual property applications in accessing the intellectual property information. Responsive to a user request, which may include a specified commonality, stored information regarding the disparate data corresponding to the disparate intellectual property applications is retrieved. The commonality is utilized in bridging the gap to the intellectual property data for the disparate intellectual property applications. The bridging is provided by use of a commonality and by an IP engine.1-20. (canceled) 21. A method for administering licenses, comprising:
providing a data store which is configured to store a plurality of license agreements; providing, in the computer processor device, a schedule of anticipated payments by licensees according to respective schedules in the license agreements; and tracking, in the computer processor device, actual payments of royalties paid by licensees according to respective schedules in the license agreement. 22. The method of claim 21, further comprising
tracking, in the computer processor device, non-compliance with the schedule of anticipated payments by the licensees of the license agreements; and notifying, in the computer processor device, a licensee, when an actual payment in one of the license agreements is late. 23. The method of claim 21, further comprising
including, in the computer processor device, an adjustment to the anticipated payment according to the license agreement, when an actual payment in one of the license agreements is late. 24. The method of claim 21, further comprising
grouping, in the computer processor device, intellectual property assets that are to be linked to one of the license agreements. 25. The method of claim 21, further comprising
tracking, in the computer processor device, actual activity by the licensee in producing products in connection with one of the license agreements; and comparing, in the computer processor device, the actual activity by the licensee pursuant to one of the license agreements with the activity permitted under the one of the license agreements. 26. The method of claim 25, further comprising
providing, in the computer processor device, a notification when the actual activity by the licensee under one of the license agreements is out of compliance with the activity permitted under the one of the license agreements. 27. A system, implemented on at least one computer, for administering licenses, comprising:
a data store configured to store a plurality of license agreements; and a processor cooperatively operable with the data store, the processor being configured to
provide a schedule of anticipated payments by licensees according to respective schedules in the license agreements; and
track actual payments of royalties paid by licensees according to respective schedules in the license agreement. 28. The system of claim 27, wherein the processor is further configured to
track non-compliance with the schedule of anticipated payments by the licensees of the license agreements; and notify a licensee, when an actual payment in one of the license agreements is late. 29. The system of claim 27, wherein the processor is further configured to
include an adjustment to the anticipated payment according to the license agreement, when an actual payment in one of the license agreements is late. 30. The system of claim 27, wherein the processor is further configured to
group intellectual property assets that are to be linked to one of the license agreements. 31. The system of claim 27, wherein the processor is further configured to
track actual activity by the licensee in producing products in connection with one of the license agreements; and compare the actual activity by the licensee pursuant to one of the license agreements with the activity permitted under the one of the license agreements. 32. The system of claim 27, wherein the processor is further configured to
provide a notification when the actual activity by the licensee under one of the license agreements is out of compliance with the activity permitted under the one of the license agreements. 33. A computer program stored on a non-transitory computer-readable medium with a method for administering licenses, the program comprising computer-executable steps for:
providing a data store which is configured to store a plurality of license agreements; providing a schedule of anticipated payments by licensees according to respective schedules in the license agreements; and tracking actual payments of royalties paid by licensees according to respective schedules in the license agreement. 34. The computer program of claim 33, further comprising
tracking non-compliance with the schedule of anticipated payments by the licensees of the license agreements; and notifying a licensee, when an actual payment in one of the license agreements is late. 35. The computer program of claim 33, further comprising
including an adjustment to the anticipated payment according to the license agreement, when an actual payment in one of the license agreements is late. 36. The computer program of claim 33, further comprising
grouping intellectual property assets that are to be linked to one of the license agreements. 37. The computer program of claim 33, further comprising
tracking actual activity by the licensee in producing products in connection with one of the license agreements; and comparing the actual activity by the licensee pursuant to one of the license agreements with the activity permitted under the one of the license agreements. 38. The computer program of claim 33, further comprising
providing a notification when the actual activity by the licensee under one of the license agreements is out of compliance with the activity permitted under the one of the license agreements. | 3,600 |
13,616 | 13,616 | 15,256,917 | 3,623 | A method and a system perform buyoffs in a computer-managed production facility. The method includes providing a natural user interface associated with a management system of the facility and connected with the management system of the facility and configured to track movements of operators' bodies at workplaces of the facility and to process data of the movements to recognize specific gestures indicating different states of a manufacturing task. Through the natural user interface, the presence of operators in the workplaces is detected. An operator entrusted with the buyoff operation is identified for a task through a first predefined gesture performed by the operator, and the operator is allocated the natural user control. At the end of the task, communication to the interface, by the operator, of the successful completion or the failure of the task, is accomplished through a second and respectively a third predefined gesture. | 1. A method of performing electronic validation of a completion of manual manufacturing tasks (buyoff) in a computer-managed production facility,which comprises the steps of:
providing a natural user interface connected with a management system of the computer-managed production facility and the natural user interface provided for at least tracking movements of operators' bodies at workplaces of the computer-managed production facility and to process data of the movements to recognize specific gestures indicating different states of a manufacturing task; detecting, through the natural user interface, a presence of operators in the workplaces; identifying an operator entrusted with a buyoff operation for the manufacturing task through a first predefined gesture performed by the operator, and allotting the operator the natural user interface; and performing at an end of the manufacturing task, communication to the natural user interface, by the operator having control, of a successful completion or a failure of the manufacturing task, through a second and respectively a third predefined gesture. 2. The method according to claim 1, which further comprises communicating the successful completion or the failure of the manufacturing task from the natural user interface to the management system of the computer-managed production facility. 3. The method according to claim 1, wherein the natural user interface is one of a plurality of natural user interfaces, one of said natural user interfaces associated with one workplace, and enabling a single operator at a time, at each of the workplaces, to take control of a respective natural user interface. 4. The method according to claim 1, wherein the first, second and third gestures each have a predetermined minimum duration. 5. The method according to claim 1, wherein the detecting step includes assigning an identification code to each detected operator and repeating a code assignment when the operator leaves a tracking area and re-enters the tracking area. 6. The method according to claim 1, wherein the operator having the control loses the control when leaving a tracking area and is to repeat the first gesture for resuming the control when re-entering the tracking area. 7. The method according to claim 1, which further comprises providing the operator having the control with a feedback of processing results. 8. A system for performing electronic validation of a completion of manual manufacturing tasks (buyoff) in a computer-managed production facility, the system comprising:
a management system; a natural user interface system containing at least one interface having sensors disposed at least to track movements of operators in workplaces of the computer-managed production facility, and a processor, cooperating with said management system of the computer-managed production facility, said processor programmed to:
recognize a first gesture of an operator entrusted with buyoff operation for a manufacturing task to enable the operator to take control of said natural user interface unit system; and
recognize second and third gestures of the operator indicating successful completion or failure, respectively, of the manufacturing task. 9. The system according to claim 8, wherein said natural user interface system communicates the successful completion or the failure of the manufacturing tasks to said management system. 10. The system according to claim 8, wherein said at least one interface is one of a plurality of interfaces each associated with a workplace, and a sensor of each said interface is disposed to detect a presence of a plurality of operators in a respective workplace and to recognize gestures of one operator out of the plurality of operators. 11. The system according to claim 8, wherein the computer-managed production facility employs a manufacturing execution system. | A method and a system perform buyoffs in a computer-managed production facility. The method includes providing a natural user interface associated with a management system of the facility and connected with the management system of the facility and configured to track movements of operators' bodies at workplaces of the facility and to process data of the movements to recognize specific gestures indicating different states of a manufacturing task. Through the natural user interface, the presence of operators in the workplaces is detected. An operator entrusted with the buyoff operation is identified for a task through a first predefined gesture performed by the operator, and the operator is allocated the natural user control. At the end of the task, communication to the interface, by the operator, of the successful completion or the failure of the task, is accomplished through a second and respectively a third predefined gesture.1. A method of performing electronic validation of a completion of manual manufacturing tasks (buyoff) in a computer-managed production facility,which comprises the steps of:
providing a natural user interface connected with a management system of the computer-managed production facility and the natural user interface provided for at least tracking movements of operators' bodies at workplaces of the computer-managed production facility and to process data of the movements to recognize specific gestures indicating different states of a manufacturing task; detecting, through the natural user interface, a presence of operators in the workplaces; identifying an operator entrusted with a buyoff operation for the manufacturing task through a first predefined gesture performed by the operator, and allotting the operator the natural user interface; and performing at an end of the manufacturing task, communication to the natural user interface, by the operator having control, of a successful completion or a failure of the manufacturing task, through a second and respectively a third predefined gesture. 2. The method according to claim 1, which further comprises communicating the successful completion or the failure of the manufacturing task from the natural user interface to the management system of the computer-managed production facility. 3. The method according to claim 1, wherein the natural user interface is one of a plurality of natural user interfaces, one of said natural user interfaces associated with one workplace, and enabling a single operator at a time, at each of the workplaces, to take control of a respective natural user interface. 4. The method according to claim 1, wherein the first, second and third gestures each have a predetermined minimum duration. 5. The method according to claim 1, wherein the detecting step includes assigning an identification code to each detected operator and repeating a code assignment when the operator leaves a tracking area and re-enters the tracking area. 6. The method according to claim 1, wherein the operator having the control loses the control when leaving a tracking area and is to repeat the first gesture for resuming the control when re-entering the tracking area. 7. The method according to claim 1, which further comprises providing the operator having the control with a feedback of processing results. 8. A system for performing electronic validation of a completion of manual manufacturing tasks (buyoff) in a computer-managed production facility, the system comprising:
a management system; a natural user interface system containing at least one interface having sensors disposed at least to track movements of operators in workplaces of the computer-managed production facility, and a processor, cooperating with said management system of the computer-managed production facility, said processor programmed to:
recognize a first gesture of an operator entrusted with buyoff operation for a manufacturing task to enable the operator to take control of said natural user interface unit system; and
recognize second and third gestures of the operator indicating successful completion or failure, respectively, of the manufacturing task. 9. The system according to claim 8, wherein said natural user interface system communicates the successful completion or the failure of the manufacturing tasks to said management system. 10. The system according to claim 8, wherein said at least one interface is one of a plurality of interfaces each associated with a workplace, and a sensor of each said interface is disposed to detect a presence of a plurality of operators in a respective workplace and to recognize gestures of one operator out of the plurality of operators. 11. The system according to claim 8, wherein the computer-managed production facility employs a manufacturing execution system. | 3,600 |
13,617 | 13,617 | 14,262,447 | 3,621 | A system and associated methods for enabling a tenant of a multi-tenant platform to customize the promotional functions of the tenant's eCommerce website which is hosted on the multi-tenant platform. The promotional offer(s) may be configured to suit the tenant's short term and/or long term business needs, such as to encourage purchase of a particular product or service at a particular time, to encourage a purchase in response to a particular business event or situation, to encourage a purchase in response to a particular action or lack of action by the consumer, to encourage a purchase in response to a particular inventory level or revenue amount of the tenant, to encourage a purchase in response to determining that the consumer was the object of a sales pitch from one of the tenant's salespeople, etc. | 1. A method of providing a promotional offer for a customer, comprising:
providing a user with a user interface configured to permit the user to define the promotional offer in terms of an item or items in a customer's shopping cart; one or more sources of business related data used to determine eligibility for the offer, wherein the business related data is maintained by a multi-tenant platform, the multi-tenant platform comprises a plurality of integrated business systems, each integrated business system is customized based on specific business needs of the user; a value or range of values that each data source must have in order for the promotional offer to be valid or available; and one or more logical relations between the data sources and the data source values that must be present in order for the promotional offer to be valid or available; identifying the items of the customer's shopping cart prior to the customer completing a payment transaction for the contents; determining a value of the one or more sources of business related data used to determine eligibility for the offer; determining if the customer is eligible for the promotional offer by evaluating the one or more logical relations between data sources and data source values that must be present in order for the promotional offer to be valid or available; and if the customer is eligible for the promotional offer, then applying the promotional offer to the items of the customer's shopping cart. 2. The method of claim 1, wherein the one or more sources of business related data include ERP data, CRM data, eCommerce data, and customer profile data. 3. The method of claim 1, wherein the promotional offer may depend on a combination of more than one of the one or more data sources. 4. The method of claim 1, wherein the step of determining a value of the one or more sources of business related data used to determine eligibility for the offer further comprises determining a real-time or a pseudo real-time value of the one or more sources of business related data. 5. The method of claim 4, wherein the step of determining a real-time or a pseudo real-time value of the one or more sources of business related data further comprises accessing a data storage element maintained by the multi-tenant platform. 6. The method of claim 1, wherein the step of applying the promotional offer to the contents of the customer's shopping cart further comprises:
providing a promotion code or identifier to the customer; and receiving the provided code or identifier from the customer prior to completing the payment transaction. 7. The method of claim 2, wherein the customer profile data includes information about one or more of the customer's previous purchases, the customer's demographics, or the customer's browsing behavior. 8. An integrated business system for enabling a user to define a promotional offer for a customer, comprising:
one or more business related data processing applications installed in the integrated business system in a multi-tenant platform and accessible by a plurality of tenants of the multi-tenant platform, each integrated business system is customized based on specific business needs of each user; a data storage element accessible by the one or more business related data processing applications; a processor programmed with a set of instructions, wherein when executed by the processor the instructions cause the system to
provide the user with a user interface configured to permit the user to define the promotional offer in terms of one or more of
an item or items in a customer's shopping cart;
one or more sources of business related data used to determine eligibility for the offer, wherein the business related data is stored in the data storage element;
a value or range of values that each data source must have in order for the promotional offer to be valid or available; and
one or more logical relations between the data sources and the data source values that must be present in order for the promotional offer to be valid or available;
identify the items of the customer's shopping cart prior to the customer completing a payment transaction for the contents;
determine a value of the one or more sources of business related data used to determine eligibility for the offer;
determine if the customer is eligible for the promotional offer by evaluating the one or more logical relations between data sources and data source values that must be present in order for the promotional offer to be valid or available; and
if the customer is eligible for the promotional offer, then applying the promotional offer to the items of the customer's shopping cart. 9. The system of claim 8 wherein the one or more sources of business related data include ERP data, CRM data, eCommerce data, and customer profile data. 10. The system of claim 8, wherein the promotional offer may depend on a combination of more than one of the one or more data sources. 11. The system of claim 8, wherein the step of determining a value of the one or more sources of business related data used to determine eligibility for the offer further comprises determining a real-time or a pseudo real-time value of the one or more sources of business related data. 12. The system of claim 11, wherein the step of determining a real-time or a pseudo real-time value of the one or more sources of business related data further comprises accessing a data storage element maintained by the multi-tenant platform. 13. The system of claim 8, wherein the step of applying the promotional offer to the contents of the customer's shopping cart further comprises:
providing a promotion code or identifier to the customer; and receiving the provided code or identifier from the customer prior to completing the payment transaction. 14. The system of claim 9, wherein the customer profile data includes information about one or more of the customer's previous purchases, the customer's demographics, or the customer's browsing behavior. 15. A method for providing a tenant of a multi-tenant platform with a capability to generate a promotional offer for a customer, comprising:
providing a process to enable the tenant to define the promotional offer, wherein the definition may depend on one or more of ERP data, CRM data, eCommerce data, and customer profile data maintained on the multi-tenant platform, the multi-tenant platform comprises a plurality of integrated business systems, each integrated business system is customized based on specific business needs of each tenant; and providing a process to determine if a term or condition of the defined offer is satisfied by one or more of the customer, the customer's shopping cart, or the tenant's ERP, CRM or eCommerce data. 16. The method of claim 15, wherein the customer profile data includes information about one or more of the customer's previous purchases, the customer's demographics, or the customer's browsing behavior. 17. The method of claim 15, wherein providing a process to enable the tenant to define the promotional offer further comprises:
providing the tenant with a user interface configured to permit the tenant to define the promotional offer in terms of one or more of an item or items in a customer's shopping cart; one or more sources of business related data used to determine eligibility for the offer, where the business related data include ERP data, CRM data, and eCommerce data; a value or range of values that each data source must have in order for the promotional offer to be valid or available; and one or more logical relations between data sources and data source values that must be present in order for the promotional offer to be valid or available. 18. The method of claim 15, wherein providing a process to determine if a term or condition of the defined offer is satisfied further comprises determining a real-time or a pseudo real-time value of the one or more of ERP data, CRM data, eCommerce data, and customer profile data. 19. The method of claim 15, wherein if a term or condition of the defined offer is satisfied by one or more of the customer, the customer's shopping cart, or the tenant's ERP, CRM or eCommerce data, then the method further comprises:
providing a promotion code or identifier to the customer; and receiving the provided code or identifier from the customer prior to completing a payment transaction. | A system and associated methods for enabling a tenant of a multi-tenant platform to customize the promotional functions of the tenant's eCommerce website which is hosted on the multi-tenant platform. The promotional offer(s) may be configured to suit the tenant's short term and/or long term business needs, such as to encourage purchase of a particular product or service at a particular time, to encourage a purchase in response to a particular business event or situation, to encourage a purchase in response to a particular action or lack of action by the consumer, to encourage a purchase in response to a particular inventory level or revenue amount of the tenant, to encourage a purchase in response to determining that the consumer was the object of a sales pitch from one of the tenant's salespeople, etc.1. A method of providing a promotional offer for a customer, comprising:
providing a user with a user interface configured to permit the user to define the promotional offer in terms of an item or items in a customer's shopping cart; one or more sources of business related data used to determine eligibility for the offer, wherein the business related data is maintained by a multi-tenant platform, the multi-tenant platform comprises a plurality of integrated business systems, each integrated business system is customized based on specific business needs of the user; a value or range of values that each data source must have in order for the promotional offer to be valid or available; and one or more logical relations between the data sources and the data source values that must be present in order for the promotional offer to be valid or available; identifying the items of the customer's shopping cart prior to the customer completing a payment transaction for the contents; determining a value of the one or more sources of business related data used to determine eligibility for the offer; determining if the customer is eligible for the promotional offer by evaluating the one or more logical relations between data sources and data source values that must be present in order for the promotional offer to be valid or available; and if the customer is eligible for the promotional offer, then applying the promotional offer to the items of the customer's shopping cart. 2. The method of claim 1, wherein the one or more sources of business related data include ERP data, CRM data, eCommerce data, and customer profile data. 3. The method of claim 1, wherein the promotional offer may depend on a combination of more than one of the one or more data sources. 4. The method of claim 1, wherein the step of determining a value of the one or more sources of business related data used to determine eligibility for the offer further comprises determining a real-time or a pseudo real-time value of the one or more sources of business related data. 5. The method of claim 4, wherein the step of determining a real-time or a pseudo real-time value of the one or more sources of business related data further comprises accessing a data storage element maintained by the multi-tenant platform. 6. The method of claim 1, wherein the step of applying the promotional offer to the contents of the customer's shopping cart further comprises:
providing a promotion code or identifier to the customer; and receiving the provided code or identifier from the customer prior to completing the payment transaction. 7. The method of claim 2, wherein the customer profile data includes information about one or more of the customer's previous purchases, the customer's demographics, or the customer's browsing behavior. 8. An integrated business system for enabling a user to define a promotional offer for a customer, comprising:
one or more business related data processing applications installed in the integrated business system in a multi-tenant platform and accessible by a plurality of tenants of the multi-tenant platform, each integrated business system is customized based on specific business needs of each user; a data storage element accessible by the one or more business related data processing applications; a processor programmed with a set of instructions, wherein when executed by the processor the instructions cause the system to
provide the user with a user interface configured to permit the user to define the promotional offer in terms of one or more of
an item or items in a customer's shopping cart;
one or more sources of business related data used to determine eligibility for the offer, wherein the business related data is stored in the data storage element;
a value or range of values that each data source must have in order for the promotional offer to be valid or available; and
one or more logical relations between the data sources and the data source values that must be present in order for the promotional offer to be valid or available;
identify the items of the customer's shopping cart prior to the customer completing a payment transaction for the contents;
determine a value of the one or more sources of business related data used to determine eligibility for the offer;
determine if the customer is eligible for the promotional offer by evaluating the one or more logical relations between data sources and data source values that must be present in order for the promotional offer to be valid or available; and
if the customer is eligible for the promotional offer, then applying the promotional offer to the items of the customer's shopping cart. 9. The system of claim 8 wherein the one or more sources of business related data include ERP data, CRM data, eCommerce data, and customer profile data. 10. The system of claim 8, wherein the promotional offer may depend on a combination of more than one of the one or more data sources. 11. The system of claim 8, wherein the step of determining a value of the one or more sources of business related data used to determine eligibility for the offer further comprises determining a real-time or a pseudo real-time value of the one or more sources of business related data. 12. The system of claim 11, wherein the step of determining a real-time or a pseudo real-time value of the one or more sources of business related data further comprises accessing a data storage element maintained by the multi-tenant platform. 13. The system of claim 8, wherein the step of applying the promotional offer to the contents of the customer's shopping cart further comprises:
providing a promotion code or identifier to the customer; and receiving the provided code or identifier from the customer prior to completing the payment transaction. 14. The system of claim 9, wherein the customer profile data includes information about one or more of the customer's previous purchases, the customer's demographics, or the customer's browsing behavior. 15. A method for providing a tenant of a multi-tenant platform with a capability to generate a promotional offer for a customer, comprising:
providing a process to enable the tenant to define the promotional offer, wherein the definition may depend on one or more of ERP data, CRM data, eCommerce data, and customer profile data maintained on the multi-tenant platform, the multi-tenant platform comprises a plurality of integrated business systems, each integrated business system is customized based on specific business needs of each tenant; and providing a process to determine if a term or condition of the defined offer is satisfied by one or more of the customer, the customer's shopping cart, or the tenant's ERP, CRM or eCommerce data. 16. The method of claim 15, wherein the customer profile data includes information about one or more of the customer's previous purchases, the customer's demographics, or the customer's browsing behavior. 17. The method of claim 15, wherein providing a process to enable the tenant to define the promotional offer further comprises:
providing the tenant with a user interface configured to permit the tenant to define the promotional offer in terms of one or more of an item or items in a customer's shopping cart; one or more sources of business related data used to determine eligibility for the offer, where the business related data include ERP data, CRM data, and eCommerce data; a value or range of values that each data source must have in order for the promotional offer to be valid or available; and one or more logical relations between data sources and data source values that must be present in order for the promotional offer to be valid or available. 18. The method of claim 15, wherein providing a process to determine if a term or condition of the defined offer is satisfied further comprises determining a real-time or a pseudo real-time value of the one or more of ERP data, CRM data, eCommerce data, and customer profile data. 19. The method of claim 15, wherein if a term or condition of the defined offer is satisfied by one or more of the customer, the customer's shopping cart, or the tenant's ERP, CRM or eCommerce data, then the method further comprises:
providing a promotion code or identifier to the customer; and receiving the provided code or identifier from the customer prior to completing a payment transaction. | 3,600 |
13,618 | 13,618 | 13,274,247 | 3,697 | A group management system for managing credit transactions for groups of lenders, borrowers, and/or referencers is described. The system allows the formation of credit groups comprised of one or more of lenders, borrowers, and/or referencers. The system monitors group performance and provides rewards and incentives when milestones are reached. When the group is underperforming, the system allows modification of group paramaters to improve performance. In one embodiment, the system tracks group metrics and provides information to aid in achieving an optimal group configuration. | 1. A method of managing a credit group comprising:
Using a Group Credit Management System; Forming a group; Associating a plurality of credit agreements with the group Monitoring the performance of each credit agreement; Determining if the group has achieved a milestone associated with the plurality of credit agreements; Providing a reward in response to the milestone. 2. The method of claim 1 further including providing a reward to the credit group when the milestone has been achieved. 3. The method of claim 2 further including determining if the group is underperforming when the milestone has not been achieved. 4. The method of claim 3 further including adding members to the group to improve performance. 5. The method of claim 3 further including adding credit agreements to the group to improve performance. 6. The method of claim 3 further including removing members from the group. 7. The method of claim 3 further including partial membership. 8. The method of claim 7 further including the ability to increase or decrease partial membership in the group. 9. The method of claim 1 wherein credit agreements are formed using a structured credit reference decision device. 10. A structured reference credit decision device, comprising:
a social network site configured to store information related to applicants, potential customers, referencers, potential referencers, lenders, and other third parties; a fetch data component coupled with the database, the fetch data component configured to:
receive input application information,
fetch relevant information from the database, based on the application information, related to a subject applicant of the input application information and at least one referencer associated with at least one prior application, including fetching relevant information from the at least one prior application, and
generate a plurality of linked data packages based on the fetched information; the linked data packages comprising credit bureau records, prior application records, and lender's records of prior accounts and prior account performance, and
an evaluation device coupled with the fetch data component, the evaluation engine configured to apply credit outcome models to the plurality of linked data packages and generate a recommendation relative to the subject applicant or application. | A group management system for managing credit transactions for groups of lenders, borrowers, and/or referencers is described. The system allows the formation of credit groups comprised of one or more of lenders, borrowers, and/or referencers. The system monitors group performance and provides rewards and incentives when milestones are reached. When the group is underperforming, the system allows modification of group paramaters to improve performance. In one embodiment, the system tracks group metrics and provides information to aid in achieving an optimal group configuration.1. A method of managing a credit group comprising:
Using a Group Credit Management System; Forming a group; Associating a plurality of credit agreements with the group Monitoring the performance of each credit agreement; Determining if the group has achieved a milestone associated with the plurality of credit agreements; Providing a reward in response to the milestone. 2. The method of claim 1 further including providing a reward to the credit group when the milestone has been achieved. 3. The method of claim 2 further including determining if the group is underperforming when the milestone has not been achieved. 4. The method of claim 3 further including adding members to the group to improve performance. 5. The method of claim 3 further including adding credit agreements to the group to improve performance. 6. The method of claim 3 further including removing members from the group. 7. The method of claim 3 further including partial membership. 8. The method of claim 7 further including the ability to increase or decrease partial membership in the group. 9. The method of claim 1 wherein credit agreements are formed using a structured credit reference decision device. 10. A structured reference credit decision device, comprising:
a social network site configured to store information related to applicants, potential customers, referencers, potential referencers, lenders, and other third parties; a fetch data component coupled with the database, the fetch data component configured to:
receive input application information,
fetch relevant information from the database, based on the application information, related to a subject applicant of the input application information and at least one referencer associated with at least one prior application, including fetching relevant information from the at least one prior application, and
generate a plurality of linked data packages based on the fetched information; the linked data packages comprising credit bureau records, prior application records, and lender's records of prior accounts and prior account performance, and
an evaluation device coupled with the fetch data component, the evaluation engine configured to apply credit outcome models to the plurality of linked data packages and generate a recommendation relative to the subject applicant or application. | 3,600 |
13,619 | 13,619 | 14,812,222 | 3,695 | A method for processing a fleet card transaction includes: storing, in a merchant file database, a plurality of merchant profiles, wherein each merchant profile includes at least a merchant identifier and at least one loop type identifier; receiving, by a receiving device and from a merchant device, an authorization request for a payment transaction, wherein the authorization request includes transaction data including at least a merchant identifier and a payment card identifier; identifying, by a processing device, the loop type identifier associated with the received transaction data; determining, by the processing device, whether to route the authorization request to one of a closed loop network and an open loop network based upon the loop type identifier associated with the received transaction data; and transmitting, by a transmitting device, the authorization request to a third party entity associated with either the closed loop network or the open loop network. | 1. A method for processing a fleet card transaction, comprising:
storing, in a merchant file database, a plurality of merchant profiles, wherein each merchant profile includes at least a merchant identifier and at least one loop type identifier; receiving, by a receiving device and from a merchant device, an authorization request for a payment transaction, wherein the authorization request includes transaction data including at least a merchant identifier and a payment card identifier; identifying, by a processing device, the loop type identifier associated with the received transaction data; determining, by the processing device, whether to route the authorization request to one of a closed loop network and an open loop network based upon the loop type identifier associated with the received transaction data; and transmitting, by a transmitting device, the authorization request to a third party entity associated with either the closed loop network or the open loop network. 2. The method of claim 1, wherein the third party entity is a fleet card issuer associated with the closed loop network. 3. The method of claim 1, further comprising:
storing, in a fleet file database, a plurality of fleet profiles, wherein each fleet profile includes at least an issuer identifier; identifying, by the processing device, a fleet profile associated with the received payment card identifier; and determining, by the processing device, whether to update the authorization request based upon the identified fleet profile. 4. The method of claim 3, further comprising:
updating, by the processing device, the authorization request to comply with criteria provided in the identified fleet profile. 5. The method of claim 1, further comprising:
determining, by the processing device, a transaction amount for the associated transaction; and updating, by the processing device, the authorization request to include the transaction amount. 6. The method of claim 1, further comprising:
receiving, by the receiving device and from the third party entity, an authorization response; and determining, by the processing device, whether to alter the authorization response. 7. The method of claim 6, wherein the processing device determines that the authorization response should be altered, further comprising:
altering, by the processing device, the authorization response; and transmitting, by the transmitting device and to the merchant, the altered authorization response. 8. The method of claim 1, wherein the authorization request includes Level 3 transaction data. 9. The method of claim 2, further comprising:
receiving, by the receiving device and from a second merchant device, an authorization request for a second payment transaction, wherein the authorization request includes second transaction data including at least a second merchant identifier and the payment card identifier; identifying, by the processing device, the loop type identifier associated with the received second transaction data; determining, by the processing device, to route the authorization request to an open loop network based upon the loop type identifier associated with the received second transaction data; and transmitting, by the transmitting device, the authorization request to an issuer associated with the open loop network. 10. A system for processing a fleet card transaction, comprising:
a merchant file database configured to store a plurality of merchant profiles, wherein each merchant profile includes at least a merchant identifier and at least one loop type identifier; a receiving device configured to receive, from a merchant device, an authorization request for a payment transaction, wherein the authorization request includes transaction data including at least a merchant identifier and a payment card identifier; a processing device configured to:
identify the loop type identifier associated with the received transaction data, and
determine whether to route the authorization request to one of a closed loop network and an open loop network based upon the loop type identifier associated with the received merchant identifier; and
a transmitting device configured to transmit the authorization request to a third party entity associated with either the closed loop network or the open loop network. 11. The system of claim 10, wherein the third party entity is a fleet card issuer associated with the closed loop network. 12. The system of claim 10, further comprising:
a fleet file database configured to store a plurality of fleet profiles, wherein each fleet profile includes at least an issuer identifier; and wherein the processing device is further configured to:
identify a fleet profile associated with the received payment card identifier, and
determine whether to update the authorization request based upon the identified fleet profile. 13. The system of claim 12, wherein the processing device is further configured to update the authorization request to comply with criteria provided in the identified fleet profile. 14. The system of claim 10, wherein the processing device is further configured to:
determine a transaction amount for the associated transaction, and update the authorization request to include the transaction amount. 15. The system of claim 10, wherein the receiving device is further configured to receive, from the third party entity, an authorization response and wherein the processing device is further configured to determine whether to alter the authorization response. 16. The system of claim 15, wherein the processing device is further configured to alter the authorization response and the transmitting device is further configured to transmit the altered authorization response to the merchant. 17. The system of claim 10, wherein the authorization request includes Level 3 transaction data. 18. The system of claim 11, wherein,
the receiving device is further configured to receive, from a second merchant device, an authorization request for a second payment transaction, wherein the authorization request includes second transaction data including at least a second merchant identifier and the payment card identifier; the processing device is further configured to:
identify the loop type identifier associated with the received second transaction data, and
determine whether to route the authorization request to the open loop network or the closed loop network based upon the loop type identifier associated with the received second transaction data; and
the transmitting device is further configured to transmit the authorization request to a third party entity associated with one of the open loop network or the closed loop network,
wherein the second transaction data is associated with the open loop network and the third party entity is an issuer associated with the open loop network. | A method for processing a fleet card transaction includes: storing, in a merchant file database, a plurality of merchant profiles, wherein each merchant profile includes at least a merchant identifier and at least one loop type identifier; receiving, by a receiving device and from a merchant device, an authorization request for a payment transaction, wherein the authorization request includes transaction data including at least a merchant identifier and a payment card identifier; identifying, by a processing device, the loop type identifier associated with the received transaction data; determining, by the processing device, whether to route the authorization request to one of a closed loop network and an open loop network based upon the loop type identifier associated with the received transaction data; and transmitting, by a transmitting device, the authorization request to a third party entity associated with either the closed loop network or the open loop network.1. A method for processing a fleet card transaction, comprising:
storing, in a merchant file database, a plurality of merchant profiles, wherein each merchant profile includes at least a merchant identifier and at least one loop type identifier; receiving, by a receiving device and from a merchant device, an authorization request for a payment transaction, wherein the authorization request includes transaction data including at least a merchant identifier and a payment card identifier; identifying, by a processing device, the loop type identifier associated with the received transaction data; determining, by the processing device, whether to route the authorization request to one of a closed loop network and an open loop network based upon the loop type identifier associated with the received transaction data; and transmitting, by a transmitting device, the authorization request to a third party entity associated with either the closed loop network or the open loop network. 2. The method of claim 1, wherein the third party entity is a fleet card issuer associated with the closed loop network. 3. The method of claim 1, further comprising:
storing, in a fleet file database, a plurality of fleet profiles, wherein each fleet profile includes at least an issuer identifier; identifying, by the processing device, a fleet profile associated with the received payment card identifier; and determining, by the processing device, whether to update the authorization request based upon the identified fleet profile. 4. The method of claim 3, further comprising:
updating, by the processing device, the authorization request to comply with criteria provided in the identified fleet profile. 5. The method of claim 1, further comprising:
determining, by the processing device, a transaction amount for the associated transaction; and updating, by the processing device, the authorization request to include the transaction amount. 6. The method of claim 1, further comprising:
receiving, by the receiving device and from the third party entity, an authorization response; and determining, by the processing device, whether to alter the authorization response. 7. The method of claim 6, wherein the processing device determines that the authorization response should be altered, further comprising:
altering, by the processing device, the authorization response; and transmitting, by the transmitting device and to the merchant, the altered authorization response. 8. The method of claim 1, wherein the authorization request includes Level 3 transaction data. 9. The method of claim 2, further comprising:
receiving, by the receiving device and from a second merchant device, an authorization request for a second payment transaction, wherein the authorization request includes second transaction data including at least a second merchant identifier and the payment card identifier; identifying, by the processing device, the loop type identifier associated with the received second transaction data; determining, by the processing device, to route the authorization request to an open loop network based upon the loop type identifier associated with the received second transaction data; and transmitting, by the transmitting device, the authorization request to an issuer associated with the open loop network. 10. A system for processing a fleet card transaction, comprising:
a merchant file database configured to store a plurality of merchant profiles, wherein each merchant profile includes at least a merchant identifier and at least one loop type identifier; a receiving device configured to receive, from a merchant device, an authorization request for a payment transaction, wherein the authorization request includes transaction data including at least a merchant identifier and a payment card identifier; a processing device configured to:
identify the loop type identifier associated with the received transaction data, and
determine whether to route the authorization request to one of a closed loop network and an open loop network based upon the loop type identifier associated with the received merchant identifier; and
a transmitting device configured to transmit the authorization request to a third party entity associated with either the closed loop network or the open loop network. 11. The system of claim 10, wherein the third party entity is a fleet card issuer associated with the closed loop network. 12. The system of claim 10, further comprising:
a fleet file database configured to store a plurality of fleet profiles, wherein each fleet profile includes at least an issuer identifier; and wherein the processing device is further configured to:
identify a fleet profile associated with the received payment card identifier, and
determine whether to update the authorization request based upon the identified fleet profile. 13. The system of claim 12, wherein the processing device is further configured to update the authorization request to comply with criteria provided in the identified fleet profile. 14. The system of claim 10, wherein the processing device is further configured to:
determine a transaction amount for the associated transaction, and update the authorization request to include the transaction amount. 15. The system of claim 10, wherein the receiving device is further configured to receive, from the third party entity, an authorization response and wherein the processing device is further configured to determine whether to alter the authorization response. 16. The system of claim 15, wherein the processing device is further configured to alter the authorization response and the transmitting device is further configured to transmit the altered authorization response to the merchant. 17. The system of claim 10, wherein the authorization request includes Level 3 transaction data. 18. The system of claim 11, wherein,
the receiving device is further configured to receive, from a second merchant device, an authorization request for a second payment transaction, wherein the authorization request includes second transaction data including at least a second merchant identifier and the payment card identifier; the processing device is further configured to:
identify the loop type identifier associated with the received second transaction data, and
determine whether to route the authorization request to the open loop network or the closed loop network based upon the loop type identifier associated with the received second transaction data; and
the transmitting device is further configured to transmit the authorization request to a third party entity associated with one of the open loop network or the closed loop network,
wherein the second transaction data is associated with the open loop network and the third party entity is an issuer associated with the open loop network. | 3,600 |
13,620 | 13,620 | 12,408,686 | 3,685 | A system and method for verification monitoring of a critical test result management (CTRM) system is provided. In one embodiment, the method includes receiving test result metadata pertaining to test result messages provided to a CTRM system by a diagnostic test facility, verifying compliance of the diagnostic test facility with prescribed usage of the CTRM system using the test result metadata, and sending a message to an interested party regarding whether or not compliance of the diagnostic test facility has been verified. | 1. A method of verification monitoring of a critical test result management (CTRM) system comprising:
Obtaining either by receiving from a database operator or retrieving from a database test result metadata from stored test result messages; Verifying compliance of the diagnostic test facility with prescribed usage of the CTRM system using the test result metadata; and Sending a message to an interested party regarding whether or not compliance of the diagnostic test facility has been verified. 2. The method of claim 1, further comprising:
determining usage metrics from the test result metadata; wherein the usage metrics are used to verify compliance of the diagnostic test facility. 3. The method of claim 2, wherein the step of verifying compliance includes:
determining whether the usage metrics indicate that the usage of the CTRM system by the diagnostic facility is above a threshold; 4. The method of claim 3, wherein the threshold is set by an insurance carrier according to a risk assessment. 5. The method of claim 2, wherein the usage metrics include usage statistics of the CTRM system by the diagnostic facilities over different durations of time. 6. The method of claim 1, further comprising:
removing private health information from the test result metadata. 7. The method of claim 1, wherein the steps of receiving, verifying and sending are performed by a third party usage monitor. 8. The method of claim 1, wherein the steps of receiving, verifying and sending are performed by a third party usage monitor. 9. The method of claim 8, further comprising:
before extracting test result metadata, establishing data communication with a medical records storage system in which the CTRM system is implemented. 10. The method of claim 9, wherein data communication between the medical record storage system and the third party usage monitor is encrypted. 11. The method of claim 1, wherein the steps of extracting, verifying and sending are performed by a medical records storage system at which the CTRM is implemented. 12. A computer system adapted to perform a method of verification monitoring a CTRM system, the computer system comprising:
a data communication device coupled to a data communication link; a processor adapted to: establish data communication over the communication link with a medical records storage system at which a CTRM system is implemented using the data communication device; extract test result metadata pertaining to a diagnostic test facility from the CTRM system; verifying compliance of the diagnostic test facility with prescribed usage of the CTRM system using the test result metadata; and sending a message to an interested party regarding whether or not compliance of the diagnostic test facility has been verified using the data communication device. 13. The computer system of claim 12, wherein the processor is further adapted to determine usage metrics from the test result metadata, the usage metrics being used to verify compliance of the diagnostic test facility. 14. The computer system of claim 13, wherein the processor is further adapted to determine whether the usage metrics indicate that the usage of the CTRM system by the diagnostic facility is above a threshold. 15. A computer system adapted to perform a method of verification monitoring a CTRM system, the computer system comprising:
a data communication device coupled to a data communication link; a processor adapted to: extract test result metadata pertaining to a diagnostic test facility from the CTRM system; verifying compliance of the diagnostic test facility with prescribed usage of the CTRM system using the test result metadata; and sending a message to an interested party over the communication link regarding whether or not compliance of the diagnostic test facility has been verified using the data communication device. 16. The computer system of claim 15, wherein the processor is further adapted to determine usage metrics from the test result metadata, the usage metrics being used to verify compliance of the diagnostic test facility. 17. A method of verification monitoring of a critical test result management (CTRM) system comprising:
extracting test result metadata from stored test result messages provided to a CTRM system by a diagnostic test facility; calculating usage metrics based on the test result metadata; and verifying compliance of the diagnostic test facility with prescribed usage of the CTRM system based on whether the usage metrics indicate that the diagnostic facility is using the CTRM system more than a threshold level. 18. A method verifying use of a CTRM system comprising:
Receiving a plurality of metadata elements, each element containing information describing one or more CTRM system transactions; Calculating a CTRM usage metric using data contained within said received metadata elements; Storing said calculated usage metric. 19. The method of claim 18 further comprising:
Determining whether the calculated usage metric meets a predetermined criteria; Storing a value representing the outcome of such determination. 20. The method of claim 19 further comprising:
Transmitting a data message whose content is a function of the stored value. | A system and method for verification monitoring of a critical test result management (CTRM) system is provided. In one embodiment, the method includes receiving test result metadata pertaining to test result messages provided to a CTRM system by a diagnostic test facility, verifying compliance of the diagnostic test facility with prescribed usage of the CTRM system using the test result metadata, and sending a message to an interested party regarding whether or not compliance of the diagnostic test facility has been verified.1. A method of verification monitoring of a critical test result management (CTRM) system comprising:
Obtaining either by receiving from a database operator or retrieving from a database test result metadata from stored test result messages; Verifying compliance of the diagnostic test facility with prescribed usage of the CTRM system using the test result metadata; and Sending a message to an interested party regarding whether or not compliance of the diagnostic test facility has been verified. 2. The method of claim 1, further comprising:
determining usage metrics from the test result metadata; wherein the usage metrics are used to verify compliance of the diagnostic test facility. 3. The method of claim 2, wherein the step of verifying compliance includes:
determining whether the usage metrics indicate that the usage of the CTRM system by the diagnostic facility is above a threshold; 4. The method of claim 3, wherein the threshold is set by an insurance carrier according to a risk assessment. 5. The method of claim 2, wherein the usage metrics include usage statistics of the CTRM system by the diagnostic facilities over different durations of time. 6. The method of claim 1, further comprising:
removing private health information from the test result metadata. 7. The method of claim 1, wherein the steps of receiving, verifying and sending are performed by a third party usage monitor. 8. The method of claim 1, wherein the steps of receiving, verifying and sending are performed by a third party usage monitor. 9. The method of claim 8, further comprising:
before extracting test result metadata, establishing data communication with a medical records storage system in which the CTRM system is implemented. 10. The method of claim 9, wherein data communication between the medical record storage system and the third party usage monitor is encrypted. 11. The method of claim 1, wherein the steps of extracting, verifying and sending are performed by a medical records storage system at which the CTRM is implemented. 12. A computer system adapted to perform a method of verification monitoring a CTRM system, the computer system comprising:
a data communication device coupled to a data communication link; a processor adapted to: establish data communication over the communication link with a medical records storage system at which a CTRM system is implemented using the data communication device; extract test result metadata pertaining to a diagnostic test facility from the CTRM system; verifying compliance of the diagnostic test facility with prescribed usage of the CTRM system using the test result metadata; and sending a message to an interested party regarding whether or not compliance of the diagnostic test facility has been verified using the data communication device. 13. The computer system of claim 12, wherein the processor is further adapted to determine usage metrics from the test result metadata, the usage metrics being used to verify compliance of the diagnostic test facility. 14. The computer system of claim 13, wherein the processor is further adapted to determine whether the usage metrics indicate that the usage of the CTRM system by the diagnostic facility is above a threshold. 15. A computer system adapted to perform a method of verification monitoring a CTRM system, the computer system comprising:
a data communication device coupled to a data communication link; a processor adapted to: extract test result metadata pertaining to a diagnostic test facility from the CTRM system; verifying compliance of the diagnostic test facility with prescribed usage of the CTRM system using the test result metadata; and sending a message to an interested party over the communication link regarding whether or not compliance of the diagnostic test facility has been verified using the data communication device. 16. The computer system of claim 15, wherein the processor is further adapted to determine usage metrics from the test result metadata, the usage metrics being used to verify compliance of the diagnostic test facility. 17. A method of verification monitoring of a critical test result management (CTRM) system comprising:
extracting test result metadata from stored test result messages provided to a CTRM system by a diagnostic test facility; calculating usage metrics based on the test result metadata; and verifying compliance of the diagnostic test facility with prescribed usage of the CTRM system based on whether the usage metrics indicate that the diagnostic facility is using the CTRM system more than a threshold level. 18. A method verifying use of a CTRM system comprising:
Receiving a plurality of metadata elements, each element containing information describing one or more CTRM system transactions; Calculating a CTRM usage metric using data contained within said received metadata elements; Storing said calculated usage metric. 19. The method of claim 18 further comprising:
Determining whether the calculated usage metric meets a predetermined criteria; Storing a value representing the outcome of such determination. 20. The method of claim 19 further comprising:
Transmitting a data message whose content is a function of the stored value. | 3,600 |
13,621 | 13,621 | 13,934,748 | 3,693 | A method and system for evaluating a risk of fraud in a payment card transaction using a computer device coupled to a database are provided. The method includes receiving payment card transaction messages relating to a payment card account wherein the payment card transaction messages relate to interactions with a cardholder, an issuer of the payment card account, or an agent thereof. The method further includes receiving payment card account reputation messages that include historical data relating to the trustworthiness of the payment card account, comparing at least one data element in each payment card transaction messages to at least one data element in at least one of: the payment card reputation message and prior transaction history, and determining at least one of a risk of fraud of the transaction and a trustworthiness of the payment card account based on the comparison. | 1. A computer-based method for evaluating a risk of fraud associated with a payment card transaction processed over a payment card interchange network, the method implemented using a computer device coupled to a memory device, the method comprising:
receiving, from a first computer system, payment card transaction messages relating to a purchase transaction using a payment card account, the payment card transaction messages relating to interactions between at least one of an agent acting on behalf of a cardholder of the payment card account and an agent acting on behalf of an issuer of the payment card account, the payment card transaction messages including at least one of an authorization request and an authorization response, the payment card transaction messages including an application event, the application event comprising an interaction with the payment card account in other than a purchase interaction and occurring non-contemporaneously with the purchase transaction, the application event transaction message further comprising a device identifier comprising at least one of a software-based device identifier and a hardware identifier associated with the device; receiving payment card account reputation messages that include historical data relating to the trustworthiness of the payment card account from a second computer system, said second computer system being different than the first computer system; comparing at least one data element in each payment card transaction messages to at least one data element in at least one of the payment card reputation message and prior transaction history; and determining at least one of a risk of fraud of the transaction and a trustworthiness of the payment card account based on the comparison. 2. The computer-based method of claim 1, wherein the payment card transaction messages include at least one of a Primary Account Number (PAN), a virtual PAN, a transaction amount, a merchant identifier, an acquirer identifier, a transaction date-time, and an address verification. 3. The computer-based method of claim 1, wherein the payment card reputation messages include at least one of attributes of the authorization, a payment history of the payment card account, historical authorization details, historical clearing transaction details, historical chargeback details, and reports of a compromised PAN. 4. The computer-based method of claim 3, wherein the reports of a compromised PAN are received from at least one of an issuer, a merchant, an acquirer, a payment card cardholder, a law enforcement agency, and security agency. 5. The computer-based method of claim 1, wherein the application event messages include at least one of a billing address, a shipping address, an email address, a phone number, an application account identification (ID), a wallet ID, an Internet protocol (IP) address, a device identifier, and a hardware identifier. 6. The computer-based method of claim 1, wherein personally identifiable information is encrypted to protect the cardholders' privacy. 7. The computer-based method of claim 1, further comprising receiving the payment card transaction messages, the payment card reputation messages, and the application event messages at a central store that is updated periodically. 8. A computer system for processing data associated with a payment card cardholder account, the computer system comprising:
a memory device; a processor in communication with the memory device; a transaction component configured to receive payment card transaction messages relating to a purchase transaction using a payment card account from a first computer system, the payment card transaction messages relating to interactions with at least one of an agent acting on behalf of a cardholder of the payment card account and an agent acting on behalf of an issuer of the payment card account, the payment card transaction messages including at least one of an authorization request and an authorization response, the payment card transaction messages including an application event, the application event comprising an interaction with the payment card account in other than a purchase interaction and occurring non-contemporaneously with the purchase transaction, the application event transaction message further comprising a device identifier comprising at least one of a software-based device identifier and a hardware identifier associated with the device; a reputation component configured to receive payment card account reputation messages that include historical data relating to the trustworthiness of the payment card account from a second computer system, said second computer system being different than the first computer system; a comparator component configured to compare at least one data element in each payment card transaction messages to at least one data element in at least one of the payment card reputation message and prior transaction history; and a decisioning component configured to determine at least one of a risk of fraud of the transaction and a trustworthiness of the payment card account based on the comparison. 9. The computer system of claim 8, wherein the payment card transaction messages include at least one of a Primary Account Number (PAN), a virtual PAN, a transaction amount, a merchant identifier, an acquirer identifier, a transaction date-time, and an address verification. 10. The computer system of claim 8, wherein the payment card reputation messages include at least one of attributes of the authorization, a payment history of the payment card account, historical authorization details, historical clearing transaction details, historical chargeback details, and reports of a compromised PAN. 11. The computer system of claim 10, wherein the reports of a compromised PAN are received from at least one of an issuer, a merchant, an acquirer, a payment card cardholder, a law enforcement agency, and security agency. 12. The computer system of claim 8, wherein the application event messages include at least one of a billing address, a shipping address, an email address, a phone number, an application account identification (ID), a wallet ID, an Internet protocol (IP) address, a device identifier, and a hardware identifier. 13. The computer system of claim 8, wherein personally identifiable information is encrypted to protect the cardholders' privacy. 14. The computer system of claim 8, wherein the payment card transaction messages, the payment card reputation messages, and the application event messages are updated periodically at a central store. 15. One or more non-transitory computer-readable storage media having computer-executable instructions embodied thereon, wherein when executed by at least one processor, the computer-executable instructions cause the processor to:
receive, from a first computer system payment card transaction messages relating to a purchase transaction using a payment card account, the payment card transaction messages relating to interactions with at least one of an agent acting on behalf of a cardholder of the payment card account and an agent acting on behalf of an issuer of the payment card account, the payment card transaction messages including at least one of an authorization request and an authorization response, the payment card transaction messages including an application event, the application event comprising an interaction with the payment card account in other than a purchase interaction and occurring non-contemporaneously with the purchase transaction, the application event transaction message further comprising a device identifier comprising at least one of a software-based device identifier and a hardware identifier associated with the device; receive payment card account reputation messages that include historical data relating to the trustworthiness of the payment card account from a second computer system, said second computer system being different than the first computer system; compare at least one data element in each payment card transaction messages to at least one data element in at least one of the payment card reputation message and prior transaction history; and determine at least one of a risk of fraud of the transaction and a trustworthiness of the payment card account based on the comparison. 16. The computer-readable storage media of claim 15, wherein the computer-executable instructions further cause the processor to receive payment card transaction messages that include at least one of a Primary Account Number (PAN), a virtual PAN, a transaction amount, a merchant identifier, an acquirer identifier, a transaction date-time, and an address verification. 17. The computer-readable storage media of claim 15, wherein the computer-executable instructions further cause the processor to receive payment card reputation messages that include at least one of attributes of the authorization, a payment history of the payment card account, historical authorization details, historical clearing transaction details, historical chargeback details, and reports of a compromised PAN. 18. The computer-readable storage media of claim 15, wherein the computer-executable instructions further cause the processor to receive reports of a compromised PAN from at least one of an issuer, a merchant, an acquirer, a payment card cardholder, a law enforcement agency, and security agency. 19. The computer-readable storage media of claim 15, wherein the computer-executable instructions further cause the processor to receive application event messages that include at least one of a billing address, a shipping address, an email address, a phone number, an application account identification (ID), a wallet ID, an Internet protocol (IP) address, a device identifier, and a hardware identifier. 20. The computer-readable storage media of claim 15, wherein the computer-executable instructions further cause the processor to periodically update the payment card transaction messages, the payment card reputation messages, and the application event messages at a central store. | A method and system for evaluating a risk of fraud in a payment card transaction using a computer device coupled to a database are provided. The method includes receiving payment card transaction messages relating to a payment card account wherein the payment card transaction messages relate to interactions with a cardholder, an issuer of the payment card account, or an agent thereof. The method further includes receiving payment card account reputation messages that include historical data relating to the trustworthiness of the payment card account, comparing at least one data element in each payment card transaction messages to at least one data element in at least one of: the payment card reputation message and prior transaction history, and determining at least one of a risk of fraud of the transaction and a trustworthiness of the payment card account based on the comparison.1. A computer-based method for evaluating a risk of fraud associated with a payment card transaction processed over a payment card interchange network, the method implemented using a computer device coupled to a memory device, the method comprising:
receiving, from a first computer system, payment card transaction messages relating to a purchase transaction using a payment card account, the payment card transaction messages relating to interactions between at least one of an agent acting on behalf of a cardholder of the payment card account and an agent acting on behalf of an issuer of the payment card account, the payment card transaction messages including at least one of an authorization request and an authorization response, the payment card transaction messages including an application event, the application event comprising an interaction with the payment card account in other than a purchase interaction and occurring non-contemporaneously with the purchase transaction, the application event transaction message further comprising a device identifier comprising at least one of a software-based device identifier and a hardware identifier associated with the device; receiving payment card account reputation messages that include historical data relating to the trustworthiness of the payment card account from a second computer system, said second computer system being different than the first computer system; comparing at least one data element in each payment card transaction messages to at least one data element in at least one of the payment card reputation message and prior transaction history; and determining at least one of a risk of fraud of the transaction and a trustworthiness of the payment card account based on the comparison. 2. The computer-based method of claim 1, wherein the payment card transaction messages include at least one of a Primary Account Number (PAN), a virtual PAN, a transaction amount, a merchant identifier, an acquirer identifier, a transaction date-time, and an address verification. 3. The computer-based method of claim 1, wherein the payment card reputation messages include at least one of attributes of the authorization, a payment history of the payment card account, historical authorization details, historical clearing transaction details, historical chargeback details, and reports of a compromised PAN. 4. The computer-based method of claim 3, wherein the reports of a compromised PAN are received from at least one of an issuer, a merchant, an acquirer, a payment card cardholder, a law enforcement agency, and security agency. 5. The computer-based method of claim 1, wherein the application event messages include at least one of a billing address, a shipping address, an email address, a phone number, an application account identification (ID), a wallet ID, an Internet protocol (IP) address, a device identifier, and a hardware identifier. 6. The computer-based method of claim 1, wherein personally identifiable information is encrypted to protect the cardholders' privacy. 7. The computer-based method of claim 1, further comprising receiving the payment card transaction messages, the payment card reputation messages, and the application event messages at a central store that is updated periodically. 8. A computer system for processing data associated with a payment card cardholder account, the computer system comprising:
a memory device; a processor in communication with the memory device; a transaction component configured to receive payment card transaction messages relating to a purchase transaction using a payment card account from a first computer system, the payment card transaction messages relating to interactions with at least one of an agent acting on behalf of a cardholder of the payment card account and an agent acting on behalf of an issuer of the payment card account, the payment card transaction messages including at least one of an authorization request and an authorization response, the payment card transaction messages including an application event, the application event comprising an interaction with the payment card account in other than a purchase interaction and occurring non-contemporaneously with the purchase transaction, the application event transaction message further comprising a device identifier comprising at least one of a software-based device identifier and a hardware identifier associated with the device; a reputation component configured to receive payment card account reputation messages that include historical data relating to the trustworthiness of the payment card account from a second computer system, said second computer system being different than the first computer system; a comparator component configured to compare at least one data element in each payment card transaction messages to at least one data element in at least one of the payment card reputation message and prior transaction history; and a decisioning component configured to determine at least one of a risk of fraud of the transaction and a trustworthiness of the payment card account based on the comparison. 9. The computer system of claim 8, wherein the payment card transaction messages include at least one of a Primary Account Number (PAN), a virtual PAN, a transaction amount, a merchant identifier, an acquirer identifier, a transaction date-time, and an address verification. 10. The computer system of claim 8, wherein the payment card reputation messages include at least one of attributes of the authorization, a payment history of the payment card account, historical authorization details, historical clearing transaction details, historical chargeback details, and reports of a compromised PAN. 11. The computer system of claim 10, wherein the reports of a compromised PAN are received from at least one of an issuer, a merchant, an acquirer, a payment card cardholder, a law enforcement agency, and security agency. 12. The computer system of claim 8, wherein the application event messages include at least one of a billing address, a shipping address, an email address, a phone number, an application account identification (ID), a wallet ID, an Internet protocol (IP) address, a device identifier, and a hardware identifier. 13. The computer system of claim 8, wherein personally identifiable information is encrypted to protect the cardholders' privacy. 14. The computer system of claim 8, wherein the payment card transaction messages, the payment card reputation messages, and the application event messages are updated periodically at a central store. 15. One or more non-transitory computer-readable storage media having computer-executable instructions embodied thereon, wherein when executed by at least one processor, the computer-executable instructions cause the processor to:
receive, from a first computer system payment card transaction messages relating to a purchase transaction using a payment card account, the payment card transaction messages relating to interactions with at least one of an agent acting on behalf of a cardholder of the payment card account and an agent acting on behalf of an issuer of the payment card account, the payment card transaction messages including at least one of an authorization request and an authorization response, the payment card transaction messages including an application event, the application event comprising an interaction with the payment card account in other than a purchase interaction and occurring non-contemporaneously with the purchase transaction, the application event transaction message further comprising a device identifier comprising at least one of a software-based device identifier and a hardware identifier associated with the device; receive payment card account reputation messages that include historical data relating to the trustworthiness of the payment card account from a second computer system, said second computer system being different than the first computer system; compare at least one data element in each payment card transaction messages to at least one data element in at least one of the payment card reputation message and prior transaction history; and determine at least one of a risk of fraud of the transaction and a trustworthiness of the payment card account based on the comparison. 16. The computer-readable storage media of claim 15, wherein the computer-executable instructions further cause the processor to receive payment card transaction messages that include at least one of a Primary Account Number (PAN), a virtual PAN, a transaction amount, a merchant identifier, an acquirer identifier, a transaction date-time, and an address verification. 17. The computer-readable storage media of claim 15, wherein the computer-executable instructions further cause the processor to receive payment card reputation messages that include at least one of attributes of the authorization, a payment history of the payment card account, historical authorization details, historical clearing transaction details, historical chargeback details, and reports of a compromised PAN. 18. The computer-readable storage media of claim 15, wherein the computer-executable instructions further cause the processor to receive reports of a compromised PAN from at least one of an issuer, a merchant, an acquirer, a payment card cardholder, a law enforcement agency, and security agency. 19. The computer-readable storage media of claim 15, wherein the computer-executable instructions further cause the processor to receive application event messages that include at least one of a billing address, a shipping address, an email address, a phone number, an application account identification (ID), a wallet ID, an Internet protocol (IP) address, a device identifier, and a hardware identifier. 20. The computer-readable storage media of claim 15, wherein the computer-executable instructions further cause the processor to periodically update the payment card transaction messages, the payment card reputation messages, and the application event messages at a central store. | 3,600 |
13,622 | 13,622 | 14,248,820 | 3,687 | A method for processing a contactless payment transaction using a traditional point of sale includes: coupling, to a point of sale device, a removable computing device; detecting, by the removable computing device, an external computing device; establishing, by the removable computing device, communication with the external computing device by a wireless communication protocol; receiving, by a receiver of the removable computing device, payment details associated with a payment account; formatting, by a processor of the removable computing device, the received payment details for inclusion in an authorization request for a payment transaction; and transmitting, by a transmitter of the removable computing device, the formatted payment details to the point of sale device. | 1. A method for processing a contactless payment transaction using a traditional point of sale, comprising:
coupling, to a point of sale device, a removable computing device; detecting, by the removable computing device, an external computing device; establishing, by the removable computing device, communication with the external computing device by a wireless communication protocol; receiving, by a receiver of the removable computing device, payment details associated with a payment account; formatting, by a processor of the removable computing device, the received payment details for inclusion in an authorization request for a payment transaction; and transmitting, by a transmitter of the removable computing device, the formatted payment details to the point of sale device. 2. The method of claim 1, wherein the payment details are received from an additional computing device. 3. The method of claim 1, further comprising:
generating, by the processor of the removable computing device, an authorization request for the payment transaction, where the authorization request includes the formatted payment details, wherein transmitting the formatted payment details to the point of sale device includes transmitting the authorization request including the formatted payment details to the point of sale device. 4. The method of claim 1, wherein the payment details are received from one of: the external computing device and an additional external computing device when prompted by the external computing device. 5. The method of claim 1, wherein the wireless communication protocol is at least one of: Wi-Fi, Bluetooth, Bluetooth low energy, ZigBee, Z-Wave, and Wireless Universal Serial Bus. 6. The method of claim 1, wherein the external computing device is at least one of: a cellular phone, smart phone, tablet computer, laptop computer, notebook computer, and a wearable computing device. 7. The method of claim 1, further comprising:
receiving, via the established communication, authentication data from the external computing device; and transmitting, by the transmitter of the removable computing device, the received authentication data to the point of sale device. 8. A method for processing a contactless payment transaction using a traditional point of sale, comprising:
coupling, to a point of sale device, a removable computing device; detecting, by the removable computing device, an external computing device; establishing, by the removable computing device, communication with the external computing device by a wireless communication protocol; receiving, by a receiving device, payment details associated with a payment account; generating, by a processing device, an authorization request for a payment transaction, wherein the authorization request includes at least the received payment details; and transmitting, by a transmitter of the point of sale device, the generated authorization request. 9. The method of claim 8, wherein the receiving device is included in the point of sale device and the received payment details are received from a second external computing device. 10. The method of claim 8, wherein the received payment details are received from one of: the external computing device and a second external computing device. 11. The method of claim 8, wherein the wireless communication protocol is at least one of: Wi-Fi, Bluetooth, Bluetooth low energy, ZigBee, Z-Wave, and Wireless Universal Serial Bus. 12. The method of claim 8, wherein the external computing device is at least one of: a cellular phone, smart phone, tablet computer, laptop computer, notebook computer, and a wearable computing device. 13. The method of claim 8, further comprising:
receiving, via the established communication, authentication data from the external computing device; and transmitting, by a transmitter of the removable computing device, the received authentication data to the point of sale device. 14. A system for processing a contactless payment transaction using a traditional point of sale, comprising:
a point of sale device; a removable computing device coupled to the point of sale device, wherein the removable computing device is configured to
detect an external computing device, and
establish communication with the external computing device by a wireless communication protocol, and wherein
the removable computing device includes
a receiver configured to receive payment details associated with a payment account,
a processor configured to format the received payment details for inclusion in an authorization request for a payment transaction, and
a transmitter configured to transmit the formatted payment details to the point of sale device. 15. The system of claim 14, wherein the payment details are received from an additional computing device. 16. The system of claim 14, wherein
the processor of the removable computing device is further configured to generate an authorization request for the payment transaction, where the authorization request includes the formatted payment details, and transmitting the formatted payment details to the point of sale device includes transmitting the authorization request including the formatted payment details to the point of sale device. 17. The system of claim 14, wherein the payment details are received from one of: the external computing device and an additional external computing device when prompted by the external computing device. 18. The system of claim 14, wherein the wireless communication protocol is at least one of: Wi-Fi, Bluetooth, Bluetooth low energy, ZigBee, Z-Wave, and Wireless Universal Serial Bus. 19. The system of claim 14, wherein the external computing device is at least one of: a cellular phone, smart phone, tablet computer, laptop computer, notebook computer, and a wearable computing device. 20. The system of claim 14, wherein
the removable computing device is further configured to receive, via the established communication, authentication data from the external computing device, and the transmitter of the removable computing device is further configured to transmit the received authentication data to the point of sale device. 21. A system for processing a contactless payment transaction using a traditional point of sale, comprising:
a point of sale device; a removable computing device coupled to the point of sale device configured to
detect an external computing device, and
establish communication with the external computing device by a wireless communication protocol;
a receiving device configured to receive payment details associated with a payment account; and a processing device configured to generate an authorization request for a payment transaction, wherein the authorization request includes at least the received payment details; wherein the point of sale device includes a transmitter configured to transmit the generated authorization request. 22. The system of claim 21, wherein the receiving device is included in the point of sale device and the received payment details are received from a second external computing device. 23. The system of claim 21, wherein the received payment details are received from one of: the external computing device and a second external computing device. 24. The system of claim 21, wherein the wireless communication protocol is at least one of: Wi-Fi, Bluetooth, Bluetooth low energy, ZigBee, Z-Wave, and Wireless Universal Serial Bus. 25. The system of claim 21, wherein the external computing device is at least one of: a cellular phone, smart phone, tablet computer, laptop computer, notebook computer, and a wearable computing device. 26. The system of claim 21, wherein
the removable computing device is further configured to receive, via the established communication, authentication data from the external computing device, and the removable computing device includes a transmitter configured to transmit the received authentication data to the point of sale device. | A method for processing a contactless payment transaction using a traditional point of sale includes: coupling, to a point of sale device, a removable computing device; detecting, by the removable computing device, an external computing device; establishing, by the removable computing device, communication with the external computing device by a wireless communication protocol; receiving, by a receiver of the removable computing device, payment details associated with a payment account; formatting, by a processor of the removable computing device, the received payment details for inclusion in an authorization request for a payment transaction; and transmitting, by a transmitter of the removable computing device, the formatted payment details to the point of sale device.1. A method for processing a contactless payment transaction using a traditional point of sale, comprising:
coupling, to a point of sale device, a removable computing device; detecting, by the removable computing device, an external computing device; establishing, by the removable computing device, communication with the external computing device by a wireless communication protocol; receiving, by a receiver of the removable computing device, payment details associated with a payment account; formatting, by a processor of the removable computing device, the received payment details for inclusion in an authorization request for a payment transaction; and transmitting, by a transmitter of the removable computing device, the formatted payment details to the point of sale device. 2. The method of claim 1, wherein the payment details are received from an additional computing device. 3. The method of claim 1, further comprising:
generating, by the processor of the removable computing device, an authorization request for the payment transaction, where the authorization request includes the formatted payment details, wherein transmitting the formatted payment details to the point of sale device includes transmitting the authorization request including the formatted payment details to the point of sale device. 4. The method of claim 1, wherein the payment details are received from one of: the external computing device and an additional external computing device when prompted by the external computing device. 5. The method of claim 1, wherein the wireless communication protocol is at least one of: Wi-Fi, Bluetooth, Bluetooth low energy, ZigBee, Z-Wave, and Wireless Universal Serial Bus. 6. The method of claim 1, wherein the external computing device is at least one of: a cellular phone, smart phone, tablet computer, laptop computer, notebook computer, and a wearable computing device. 7. The method of claim 1, further comprising:
receiving, via the established communication, authentication data from the external computing device; and transmitting, by the transmitter of the removable computing device, the received authentication data to the point of sale device. 8. A method for processing a contactless payment transaction using a traditional point of sale, comprising:
coupling, to a point of sale device, a removable computing device; detecting, by the removable computing device, an external computing device; establishing, by the removable computing device, communication with the external computing device by a wireless communication protocol; receiving, by a receiving device, payment details associated with a payment account; generating, by a processing device, an authorization request for a payment transaction, wherein the authorization request includes at least the received payment details; and transmitting, by a transmitter of the point of sale device, the generated authorization request. 9. The method of claim 8, wherein the receiving device is included in the point of sale device and the received payment details are received from a second external computing device. 10. The method of claim 8, wherein the received payment details are received from one of: the external computing device and a second external computing device. 11. The method of claim 8, wherein the wireless communication protocol is at least one of: Wi-Fi, Bluetooth, Bluetooth low energy, ZigBee, Z-Wave, and Wireless Universal Serial Bus. 12. The method of claim 8, wherein the external computing device is at least one of: a cellular phone, smart phone, tablet computer, laptop computer, notebook computer, and a wearable computing device. 13. The method of claim 8, further comprising:
receiving, via the established communication, authentication data from the external computing device; and transmitting, by a transmitter of the removable computing device, the received authentication data to the point of sale device. 14. A system for processing a contactless payment transaction using a traditional point of sale, comprising:
a point of sale device; a removable computing device coupled to the point of sale device, wherein the removable computing device is configured to
detect an external computing device, and
establish communication with the external computing device by a wireless communication protocol, and wherein
the removable computing device includes
a receiver configured to receive payment details associated with a payment account,
a processor configured to format the received payment details for inclusion in an authorization request for a payment transaction, and
a transmitter configured to transmit the formatted payment details to the point of sale device. 15. The system of claim 14, wherein the payment details are received from an additional computing device. 16. The system of claim 14, wherein
the processor of the removable computing device is further configured to generate an authorization request for the payment transaction, where the authorization request includes the formatted payment details, and transmitting the formatted payment details to the point of sale device includes transmitting the authorization request including the formatted payment details to the point of sale device. 17. The system of claim 14, wherein the payment details are received from one of: the external computing device and an additional external computing device when prompted by the external computing device. 18. The system of claim 14, wherein the wireless communication protocol is at least one of: Wi-Fi, Bluetooth, Bluetooth low energy, ZigBee, Z-Wave, and Wireless Universal Serial Bus. 19. The system of claim 14, wherein the external computing device is at least one of: a cellular phone, smart phone, tablet computer, laptop computer, notebook computer, and a wearable computing device. 20. The system of claim 14, wherein
the removable computing device is further configured to receive, via the established communication, authentication data from the external computing device, and the transmitter of the removable computing device is further configured to transmit the received authentication data to the point of sale device. 21. A system for processing a contactless payment transaction using a traditional point of sale, comprising:
a point of sale device; a removable computing device coupled to the point of sale device configured to
detect an external computing device, and
establish communication with the external computing device by a wireless communication protocol;
a receiving device configured to receive payment details associated with a payment account; and a processing device configured to generate an authorization request for a payment transaction, wherein the authorization request includes at least the received payment details; wherein the point of sale device includes a transmitter configured to transmit the generated authorization request. 22. The system of claim 21, wherein the receiving device is included in the point of sale device and the received payment details are received from a second external computing device. 23. The system of claim 21, wherein the received payment details are received from one of: the external computing device and a second external computing device. 24. The system of claim 21, wherein the wireless communication protocol is at least one of: Wi-Fi, Bluetooth, Bluetooth low energy, ZigBee, Z-Wave, and Wireless Universal Serial Bus. 25. The system of claim 21, wherein the external computing device is at least one of: a cellular phone, smart phone, tablet computer, laptop computer, notebook computer, and a wearable computing device. 26. The system of claim 21, wherein
the removable computing device is further configured to receive, via the established communication, authentication data from the external computing device, and the removable computing device includes a transmitter configured to transmit the received authentication data to the point of sale device. | 3,600 |
13,623 | 13,623 | 14,650,729 | 3,697 | Methods and systems for accessing customer account information involve, for example, binding a computing device with a customer's profile via one or more attributes of the computing device and an encrypted token stored on the computing device and thereafter receiving an authentication request consisting at least in part of the computing device attributes and the encrypted token stored on the computing device. A determination is made as to whether or not entry of a customer credential was received within a pre-determined preceding interval of time, and predefined customer account information is displayed on the computing device without requiring entry of the customer credential when a determination is made that entry of the customer credential was received within the pre-determined preceding interval of time. | 1-24. (canceled) 25. A method, comprising:
binding, by one or more processors, a computing device with a customer's profile consisting at least in part of a customer credential via at least one attribute of the computing device and an encrypted token stored on the computing device; receiving, by the one or more processors, on a first occasion, an authentication request consisting at least in part of entry of the customer credential; receiving, by the one or more processors, on a succeeding occasion, an authentication request consisting at least in part of the at least one attribute of the computing device and the encrypted token stored on the computing device without entry of the customer credential; determining, by the one or more processors, an interval of time between the first occasion authentication request and the succeeding occasion authentication request; declining, by the one or more processors, the succeeding occasion authentication request when the interval of time between the first occasion authentication request and the succeeding occasion authentication request is greater than a pre-determined time interval; and displaying, by the one or more processors, in response to the succeeding occasion authentication request, predefined customer account information limited to non-personally identifiable customer account information consisting at least in part of a pre-determined portion of an account number and at least in part of an account balance on the computing device when the interval of time between the first occasion authentication request and the succeeding occasion authentication request is less than the pre-determined time interval. 26. The method of claim 25, wherein binding the computing device further comprises binding the computing device with the customer's profile only when an opt in selection is received from the customer. 27. The method of claim 26, wherein binding the computing device further comprises binding the computing device only if a confirmation of the opt in selection is received from the customer. 28. The method of claim 26, wherein binding the computing device further comprises disabling the binding of the computing device at any time an opt out selection is received from the customer after receiving the opt in selection from the customer. 29. The method of claim 26, wherein binding the computing device further comprises disabling the binding of the computing device at any time a request to change the customer credential is received from the customer. 30. The method of claim 25, wherein the customer credential comprises a customer password. 31. The method of claim 26, wherein binding the computing device further comprises disabling the binding of the computing device at any time a request is received to bind a different computing device with the customer's profile. 32. The method of claim 25, wherein the at least one computing device attribute comprises a unique computing device identifier. 33. The method of claim 25, wherein the computing device comprises a mobile communication device and the at least one computing device attribute further comprises mobile network details. 34. The method of claim 25, wherein the encrypted token comprises a token encrypted using a hash algorithm. 35. The method of claim 25, wherein displaying the non-personally identifiable customer account information further comprises displaying non-personally identifiable customer checking, savings, and credit card account information on the computing device. 36. The method of claim 35, wherein displaying the non-personally identifiable customer checking account information further comprises displaying a partial checking account identifier and one or more available balances of the checking account on the computing device. 37. The method of claim 36, wherein the partial checking account identifier comprises a pre-determined portion of a checking account number. 38. The method of claim 35, wherein displaying the non-personally identifiable customer savings account information further comprises displaying a partial savings account identifier and one or more savings account balances on the computing device. 39. The method of claim 38, wherein the partial savings account identifier comprises a pre-determined portion of a savings account number. 40. The method of claim 35, wherein displaying the non-personally identifiable customer credit card account information further comprises displaying a partial credit card account identifier, one or more credit card balances on the computing device. 41. The method of claim 40, wherein the partial credit card account identifier comprises a pre-determined portion of a credit card account number. 42. The method of claim 25, wherein displaying the non-personally identifiable customer account information further comprises displaying non-personally identifiable customer account transaction information for a pre-determined number of transactions on the computing device. 43. The method of claim 42, wherein the pre-determined number of transactions comprises the most recent fifteen transactions. 44. The method of claim 25, wherein displaying the pre-defined customer account information further comprises denying a customer transaction request received without entry of the customer credential. 45. A system, comprising:
one or more processors coupled to memory, the one or more processors being programmed to:
bind a computing device with a customer's profile consisting at least in part of a customer credential via at least one attribute of the computing device and an encrypted token stored on the computing device;
receive on a first occasion, an authentication request consisting at least in part of entry of the customer credential;
receive on a succeeding occasion, an authentication request consisting at least in part of the at least one attribute of the computing device and the encrypted token stored on the computing device without entry of the customer credential;
determine an interval of time between the first occasion authentication request and the succeeding occasion authentication request;
decline the succeeding occasion authentication request when the interval of time between the first occasion authentication request and the succeeding occasion authentication request is greater than a pre-determined time interval; and
display in response to the succeeding occasion authentication request, predefined customer account information limited to non-personally identifiable customer account information consisting at least in part of a pre-determined portion of an account number and at least in part of an account balance on the computing device when the interval of time between the first occasion authentication request and the succeeding occasion authentication request is less than the pre-determined time interval. | Methods and systems for accessing customer account information involve, for example, binding a computing device with a customer's profile via one or more attributes of the computing device and an encrypted token stored on the computing device and thereafter receiving an authentication request consisting at least in part of the computing device attributes and the encrypted token stored on the computing device. A determination is made as to whether or not entry of a customer credential was received within a pre-determined preceding interval of time, and predefined customer account information is displayed on the computing device without requiring entry of the customer credential when a determination is made that entry of the customer credential was received within the pre-determined preceding interval of time.1-24. (canceled) 25. A method, comprising:
binding, by one or more processors, a computing device with a customer's profile consisting at least in part of a customer credential via at least one attribute of the computing device and an encrypted token stored on the computing device; receiving, by the one or more processors, on a first occasion, an authentication request consisting at least in part of entry of the customer credential; receiving, by the one or more processors, on a succeeding occasion, an authentication request consisting at least in part of the at least one attribute of the computing device and the encrypted token stored on the computing device without entry of the customer credential; determining, by the one or more processors, an interval of time between the first occasion authentication request and the succeeding occasion authentication request; declining, by the one or more processors, the succeeding occasion authentication request when the interval of time between the first occasion authentication request and the succeeding occasion authentication request is greater than a pre-determined time interval; and displaying, by the one or more processors, in response to the succeeding occasion authentication request, predefined customer account information limited to non-personally identifiable customer account information consisting at least in part of a pre-determined portion of an account number and at least in part of an account balance on the computing device when the interval of time between the first occasion authentication request and the succeeding occasion authentication request is less than the pre-determined time interval. 26. The method of claim 25, wherein binding the computing device further comprises binding the computing device with the customer's profile only when an opt in selection is received from the customer. 27. The method of claim 26, wherein binding the computing device further comprises binding the computing device only if a confirmation of the opt in selection is received from the customer. 28. The method of claim 26, wherein binding the computing device further comprises disabling the binding of the computing device at any time an opt out selection is received from the customer after receiving the opt in selection from the customer. 29. The method of claim 26, wherein binding the computing device further comprises disabling the binding of the computing device at any time a request to change the customer credential is received from the customer. 30. The method of claim 25, wherein the customer credential comprises a customer password. 31. The method of claim 26, wherein binding the computing device further comprises disabling the binding of the computing device at any time a request is received to bind a different computing device with the customer's profile. 32. The method of claim 25, wherein the at least one computing device attribute comprises a unique computing device identifier. 33. The method of claim 25, wherein the computing device comprises a mobile communication device and the at least one computing device attribute further comprises mobile network details. 34. The method of claim 25, wherein the encrypted token comprises a token encrypted using a hash algorithm. 35. The method of claim 25, wherein displaying the non-personally identifiable customer account information further comprises displaying non-personally identifiable customer checking, savings, and credit card account information on the computing device. 36. The method of claim 35, wherein displaying the non-personally identifiable customer checking account information further comprises displaying a partial checking account identifier and one or more available balances of the checking account on the computing device. 37. The method of claim 36, wherein the partial checking account identifier comprises a pre-determined portion of a checking account number. 38. The method of claim 35, wherein displaying the non-personally identifiable customer savings account information further comprises displaying a partial savings account identifier and one or more savings account balances on the computing device. 39. The method of claim 38, wherein the partial savings account identifier comprises a pre-determined portion of a savings account number. 40. The method of claim 35, wherein displaying the non-personally identifiable customer credit card account information further comprises displaying a partial credit card account identifier, one or more credit card balances on the computing device. 41. The method of claim 40, wherein the partial credit card account identifier comprises a pre-determined portion of a credit card account number. 42. The method of claim 25, wherein displaying the non-personally identifiable customer account information further comprises displaying non-personally identifiable customer account transaction information for a pre-determined number of transactions on the computing device. 43. The method of claim 42, wherein the pre-determined number of transactions comprises the most recent fifteen transactions. 44. The method of claim 25, wherein displaying the pre-defined customer account information further comprises denying a customer transaction request received without entry of the customer credential. 45. A system, comprising:
one or more processors coupled to memory, the one or more processors being programmed to:
bind a computing device with a customer's profile consisting at least in part of a customer credential via at least one attribute of the computing device and an encrypted token stored on the computing device;
receive on a first occasion, an authentication request consisting at least in part of entry of the customer credential;
receive on a succeeding occasion, an authentication request consisting at least in part of the at least one attribute of the computing device and the encrypted token stored on the computing device without entry of the customer credential;
determine an interval of time between the first occasion authentication request and the succeeding occasion authentication request;
decline the succeeding occasion authentication request when the interval of time between the first occasion authentication request and the succeeding occasion authentication request is greater than a pre-determined time interval; and
display in response to the succeeding occasion authentication request, predefined customer account information limited to non-personally identifiable customer account information consisting at least in part of a pre-determined portion of an account number and at least in part of an account balance on the computing device when the interval of time between the first occasion authentication request and the succeeding occasion authentication request is less than the pre-determined time interval. | 3,600 |
13,624 | 13,624 | 15,215,824 | 3,624 | Calendar events can be stored for calendar applications by providing a set of available intent-time options. When an input indicative of an event for a calendar item is received, an appropriate intent-time from the set of available intent-time options can be determined and any parameters suitable for the appropriate intent-time can be identified. The event can then be stored with a start property according to the appropriate intent-time and any of the parameters identified from the input. The set of available intent-time options can include a standard time option and one or more trigger-based time options such as astronomical phenomena-based time and tide-based time. | 1. A method of storing calendar events for calendar applications, the method comprising:
providing a set of available intent-time options; receiving an input indicative of an event for a calendar item; in response to receiving the input, determining an appropriate intent-time from the set of available intent-time options; identifying from the input any parameters suitable for the appropriate intent-time; and storing the event with a start property according to the appropriate intent-time and any of the parameters identified from the input. 2. The method of claim 1, wherein providing the set of available intent-time options comprises providing at least a standard time and one or more trigger-based times. 3. The method of claim 2, wherein the appropriate intent-time is determined to be a standard time. 4. The method of claim 1, wherein the appropriate intent-time is determined to be an astronomical-based time, wherein storing the event with the start property according to the appropriate intent-time comprises:
storing an astronomical phenomena indicator and a location data for the start property. 5. The method of claim 1, wherein the appropriate intent-time is determined to be a tide-based time, wherein storing the event with the start property according to the appropriate intent-time comprises:
storing an index to a tide table for the start property. 6. The method of claim 1, wherein the appropriate intent-time is determined to be a sporting event-based time, wherein storing the event with the start property according to the appropriate intent-time comprises:
storing an index to a sport calendar for the start property. 7. A calendaring system comprising:
a processing system; a storage system; structured calendar data stored on a storage resource of the storage system, the structured calendar data comprising, for each event, at least a corresponding event identifier, a calendar identifier indicating a corresponding calendar to which the event belongs, and a corresponding intent-time identifier; instructions for supporting a calendar application stored on the storage system, the instructions directing the processing system to at least:
receive a request, from a source, for an intent of an event stored as part of a calendar, the request comprising at least an event identifier for the event;
search a storage resource storing the event for at least an intent-time identifier associated with the event;
identify the intent from the intent-time identifier; and
provide the intent identified from the intent-time identifier to the source of the request. 8. The system of claim 7, wherein the instructions further direct the processing system to provide one or more parameters associated with the intent-time identifier to the source of the request. 9. The system of claim 7, wherein the corresponding intent-time identifier indicates one of at least a standard time and one or more trigger-based times. 10. The system of claim 7, wherein the instructions that provide the intent identified from the intent-time identifier direct the processing system to at least:
communicate a user-readable trigger as the intent. 11. The system of claim 7, wherein the user-readable trigger indicates a standard time option. 12. The system of claim 7, wherein the user-readable trigger indicates an astronomical-based time option. 13. The system of claim 7, wherein the user-readable trigger indicates a tide-based time option. 14. The system of claim 7, wherein the user-readable trigger indicates a sporting event-based option. 15. One or more computer-readable storage media having instructions stored thereon that, when executed by a processing system, direct the processing system to at least:
provide a set of available intent-time options; receive an input indicative of an event for a calendar item; determine an appropriate intent-time from the set of available intent-time options; identify from the input any parameters suitable for the appropriate intent-time; store the event, in a storage resource, with a start property according to the appropriate intent-time and any of the parameters identified from the input; and in response to receiving a request, from a source, for an intent of the stored event, the request comprising at least an event identifier for the stored event:
search the storage resource for at least an intent-time identifier associated with the event;
identify the intent from the intent-time identifier; and
provide the intent identified from the intent-time identifier to the source of the request. 16. The media of claim 15, wherein the instructions further direct the processing system to, in response to receiving the request, provide one or more parameters of any of the parameters identified from the input to the source of the request. 17. The media of claim 15, wherein providing the set of available intent-time options comprises providing at least a standard time and one or more trigger-based times. 18. The media of claim 15, wherein the appropriate intent-time is determined to be a standard time, the intent identified from the intent-time identifier indicating a standard time option. 19. The media of claim 15, wherein the appropriate intent-time is determined to be an astronomical-based time, wherein the event is stored with an astronomical phenomena indicator and a location data for the start property, the intent identified from the intent-time identifier indicating an astronomical-based option. 20. The media of claim 15, wherein the appropriate intent-time is determined to be a tide-based time, wherein the event is stored with an index to a tide table for the start property, he intent identified from the intent-time identifier indicating a tide-based option. | Calendar events can be stored for calendar applications by providing a set of available intent-time options. When an input indicative of an event for a calendar item is received, an appropriate intent-time from the set of available intent-time options can be determined and any parameters suitable for the appropriate intent-time can be identified. The event can then be stored with a start property according to the appropriate intent-time and any of the parameters identified from the input. The set of available intent-time options can include a standard time option and one or more trigger-based time options such as astronomical phenomena-based time and tide-based time.1. A method of storing calendar events for calendar applications, the method comprising:
providing a set of available intent-time options; receiving an input indicative of an event for a calendar item; in response to receiving the input, determining an appropriate intent-time from the set of available intent-time options; identifying from the input any parameters suitable for the appropriate intent-time; and storing the event with a start property according to the appropriate intent-time and any of the parameters identified from the input. 2. The method of claim 1, wherein providing the set of available intent-time options comprises providing at least a standard time and one or more trigger-based times. 3. The method of claim 2, wherein the appropriate intent-time is determined to be a standard time. 4. The method of claim 1, wherein the appropriate intent-time is determined to be an astronomical-based time, wherein storing the event with the start property according to the appropriate intent-time comprises:
storing an astronomical phenomena indicator and a location data for the start property. 5. The method of claim 1, wherein the appropriate intent-time is determined to be a tide-based time, wherein storing the event with the start property according to the appropriate intent-time comprises:
storing an index to a tide table for the start property. 6. The method of claim 1, wherein the appropriate intent-time is determined to be a sporting event-based time, wherein storing the event with the start property according to the appropriate intent-time comprises:
storing an index to a sport calendar for the start property. 7. A calendaring system comprising:
a processing system; a storage system; structured calendar data stored on a storage resource of the storage system, the structured calendar data comprising, for each event, at least a corresponding event identifier, a calendar identifier indicating a corresponding calendar to which the event belongs, and a corresponding intent-time identifier; instructions for supporting a calendar application stored on the storage system, the instructions directing the processing system to at least:
receive a request, from a source, for an intent of an event stored as part of a calendar, the request comprising at least an event identifier for the event;
search a storage resource storing the event for at least an intent-time identifier associated with the event;
identify the intent from the intent-time identifier; and
provide the intent identified from the intent-time identifier to the source of the request. 8. The system of claim 7, wherein the instructions further direct the processing system to provide one or more parameters associated with the intent-time identifier to the source of the request. 9. The system of claim 7, wherein the corresponding intent-time identifier indicates one of at least a standard time and one or more trigger-based times. 10. The system of claim 7, wherein the instructions that provide the intent identified from the intent-time identifier direct the processing system to at least:
communicate a user-readable trigger as the intent. 11. The system of claim 7, wherein the user-readable trigger indicates a standard time option. 12. The system of claim 7, wherein the user-readable trigger indicates an astronomical-based time option. 13. The system of claim 7, wherein the user-readable trigger indicates a tide-based time option. 14. The system of claim 7, wherein the user-readable trigger indicates a sporting event-based option. 15. One or more computer-readable storage media having instructions stored thereon that, when executed by a processing system, direct the processing system to at least:
provide a set of available intent-time options; receive an input indicative of an event for a calendar item; determine an appropriate intent-time from the set of available intent-time options; identify from the input any parameters suitable for the appropriate intent-time; store the event, in a storage resource, with a start property according to the appropriate intent-time and any of the parameters identified from the input; and in response to receiving a request, from a source, for an intent of the stored event, the request comprising at least an event identifier for the stored event:
search the storage resource for at least an intent-time identifier associated with the event;
identify the intent from the intent-time identifier; and
provide the intent identified from the intent-time identifier to the source of the request. 16. The media of claim 15, wherein the instructions further direct the processing system to, in response to receiving the request, provide one or more parameters of any of the parameters identified from the input to the source of the request. 17. The media of claim 15, wherein providing the set of available intent-time options comprises providing at least a standard time and one or more trigger-based times. 18. The media of claim 15, wherein the appropriate intent-time is determined to be a standard time, the intent identified from the intent-time identifier indicating a standard time option. 19. The media of claim 15, wherein the appropriate intent-time is determined to be an astronomical-based time, wherein the event is stored with an astronomical phenomena indicator and a location data for the start property, the intent identified from the intent-time identifier indicating an astronomical-based option. 20. The media of claim 15, wherein the appropriate intent-time is determined to be a tide-based time, wherein the event is stored with an index to a tide table for the start property, he intent identified from the intent-time identifier indicating a tide-based option. | 3,600 |
13,625 | 13,625 | 14,004,457 | 3,693 | Systems, methods, apparatuses, and computer program products for providing a short term credit line are provided. One method includes receiving an application form comprising banking credentials of an applicant and retrieving, based on the banking credentials, a current balance and a certain number of transactions for the applicant from a database. The method further includes categorizing the transactions into a plurality of categories by searching the transactions for keywords, performing an affordability assessment to reject the applicants that cannot afford to repay in a sustainable manner, and, when the applicant passes the affordability assessment, performing a scorecard decision to assign a score to the customer and categorizing the applicant according to the score. The method may further include finally accepting or rejecting the application based on their score categorization. | 1. A method, comprising:
receiving an application form comprising banking credentials of an applicant; retrieving, based on the banking credentials, a current balance and a certain number of transactions for the applicant from a database; categorizing the transactions into a plurality of categories by searching the transactions for keywords; performing an affordability assessment to reject the applicants that cannot afford to repay in a sustainable manner; when the applicant passes the affordability assessment, performing a scorecard decision to assign a score to the customer and categorizing the applicant according to the score; and finally accepting or rejecting the application based on their score categorization. 2. The method according to claim 1, further comprising:
when the applicant is accepted as a customer based on the score categorization, periodically calculating a credit limit for the customer. 3. The method according to claim 1, further comprising:
performing a daily refresh to update latest transactions and current balance for the customer. 4. The method according to claim 3, wherein the daily refresh is synchronized to perform at least 1 hour before the customer's bank schedules a charging of overdraft fees. 5. The method according to claim 3, further comprising:
when the daily refresh shows that the customer's current balance has fallen below a predetermined level where customer's bank charges the overdraft fees, automatically depositing funds into the customer's account. 6. The method according to claim 5, wherein an amount of the deposited funds is based on the calculated credit limit. 7. The method according to claim 5, wherein, when the daily refresh shows that new funds have entered the customer's current account, calculating a repayment amount and automatically attempting repayment on an outstanding balance corresponding to the amount of the deposited funds. 8. The method according to claim 1, wherein the certain number of transactions comprise 90 days' worth of transactions from the applicant's bank account. 9. The method according to claim 1, wherein the categories comprise at least one of overdraft fees, credit cards, benefits, payday, subprime credit cards, subprime loan, wages paid, debt management, debt recovery, rent & mortgages, ATM withdrawal, deposits, gambling, or loans. 10. An apparatus, comprising:
at least one processor; and at least one memory comprising computer program code, the at least one memory and the computer program code configured, with the at least one processor, to cause the apparatus at least to receive an application form comprising banking credentials of an applicant; retrieve, based on the banking credentials, a current balance and a certain number of transactions for the applicant from a database; categorize the transactions into a plurality of categories by searching the transactions for keywords; perform an affordability assessment to reject the applicants that cannot afford to repay in a sustainable manner; when the applicant passes the affordability assessment, perform a scorecard decision to assign a score to the customer and categorize the applicant according to the score; and finally accept or reject the application based on their score categorization. 11. The apparatus according to claim 10, wherein the at least one memory and the computer program code are further configured, with the at least one processor, to cause the apparatus to, when the applicant is accepted as a customer based on the score categorization, periodically calculate a credit limit for the customer. 12. The apparatus according to claim 10, wherein the at least one memory and the computer program code are further configured, with the at least one processor, to cause the apparatus to perform a daily refresh to update latest transactions and current balance for the customer. 13. The apparatus according to claim 12, wherein the daily refresh is synchronized to perform at least 1 hour before the customer's bank schedules a charging of overdraft fees. 14. The apparatus according to claim 12, wherein the at least one memory and the computer program code are further configured, with the at least one processor, to cause the apparatus to, when the daily refresh shows that the customer's current balance has fallen below a predetermined level where customer's bank charges the overdraft fees, automatically depositing funds into the customer's account. 15. The apparatus according to claim 14, wherein an amount of the deposited funds is based on the calculated credit limit. 16. The apparatus according to claim 14, wherein, when the daily refresh shows that new funds have entered the customer's current account, the at least one memory and the computer program code are further configured, with the at least one processor, to cause the apparatus to calculate a repayment amount and automatically attempt repayment on an outstanding balance corresponding to the amount of the deposited funds. 17. The apparatus according to claim 10, wherein the certain number of transactions comprise 90 days' worth of transactions from the applicant's bank account. 18. The apparatus according to claim 10, wherein the categories comprise at least one of overdraft fees, credit cards, benefits, payday, subprime credit cards, subprime loan, wages paid, debt management, debt recovery, rent & mortgages, ATM withdrawal, deposits, gambling, or loans. 19. A computer program, embodied on a computer readable medium, the computer program configured to control a processor to perform a process, comprising:
receiving an application form comprising banking credentials of an applicant; retrieving, based on the banking credentials, a current balance and a certain number of transactions for the applicant from a database; categorizing the transactions into a plurality of categories by searching the transactions for keywords; performing an affordability assessment to reject the applicants that cannot afford to repay in a sustainable manner; when the applicant passes the affordability assessment, performing a scorecard decision to assign a score to the customer and categorizing the applicant according to the score; and finally accepting or rejecting the application based on their score categorization. | Systems, methods, apparatuses, and computer program products for providing a short term credit line are provided. One method includes receiving an application form comprising banking credentials of an applicant and retrieving, based on the banking credentials, a current balance and a certain number of transactions for the applicant from a database. The method further includes categorizing the transactions into a plurality of categories by searching the transactions for keywords, performing an affordability assessment to reject the applicants that cannot afford to repay in a sustainable manner, and, when the applicant passes the affordability assessment, performing a scorecard decision to assign a score to the customer and categorizing the applicant according to the score. The method may further include finally accepting or rejecting the application based on their score categorization.1. A method, comprising:
receiving an application form comprising banking credentials of an applicant; retrieving, based on the banking credentials, a current balance and a certain number of transactions for the applicant from a database; categorizing the transactions into a plurality of categories by searching the transactions for keywords; performing an affordability assessment to reject the applicants that cannot afford to repay in a sustainable manner; when the applicant passes the affordability assessment, performing a scorecard decision to assign a score to the customer and categorizing the applicant according to the score; and finally accepting or rejecting the application based on their score categorization. 2. The method according to claim 1, further comprising:
when the applicant is accepted as a customer based on the score categorization, periodically calculating a credit limit for the customer. 3. The method according to claim 1, further comprising:
performing a daily refresh to update latest transactions and current balance for the customer. 4. The method according to claim 3, wherein the daily refresh is synchronized to perform at least 1 hour before the customer's bank schedules a charging of overdraft fees. 5. The method according to claim 3, further comprising:
when the daily refresh shows that the customer's current balance has fallen below a predetermined level where customer's bank charges the overdraft fees, automatically depositing funds into the customer's account. 6. The method according to claim 5, wherein an amount of the deposited funds is based on the calculated credit limit. 7. The method according to claim 5, wherein, when the daily refresh shows that new funds have entered the customer's current account, calculating a repayment amount and automatically attempting repayment on an outstanding balance corresponding to the amount of the deposited funds. 8. The method according to claim 1, wherein the certain number of transactions comprise 90 days' worth of transactions from the applicant's bank account. 9. The method according to claim 1, wherein the categories comprise at least one of overdraft fees, credit cards, benefits, payday, subprime credit cards, subprime loan, wages paid, debt management, debt recovery, rent & mortgages, ATM withdrawal, deposits, gambling, or loans. 10. An apparatus, comprising:
at least one processor; and at least one memory comprising computer program code, the at least one memory and the computer program code configured, with the at least one processor, to cause the apparatus at least to receive an application form comprising banking credentials of an applicant; retrieve, based on the banking credentials, a current balance and a certain number of transactions for the applicant from a database; categorize the transactions into a plurality of categories by searching the transactions for keywords; perform an affordability assessment to reject the applicants that cannot afford to repay in a sustainable manner; when the applicant passes the affordability assessment, perform a scorecard decision to assign a score to the customer and categorize the applicant according to the score; and finally accept or reject the application based on their score categorization. 11. The apparatus according to claim 10, wherein the at least one memory and the computer program code are further configured, with the at least one processor, to cause the apparatus to, when the applicant is accepted as a customer based on the score categorization, periodically calculate a credit limit for the customer. 12. The apparatus according to claim 10, wherein the at least one memory and the computer program code are further configured, with the at least one processor, to cause the apparatus to perform a daily refresh to update latest transactions and current balance for the customer. 13. The apparatus according to claim 12, wherein the daily refresh is synchronized to perform at least 1 hour before the customer's bank schedules a charging of overdraft fees. 14. The apparatus according to claim 12, wherein the at least one memory and the computer program code are further configured, with the at least one processor, to cause the apparatus to, when the daily refresh shows that the customer's current balance has fallen below a predetermined level where customer's bank charges the overdraft fees, automatically depositing funds into the customer's account. 15. The apparatus according to claim 14, wherein an amount of the deposited funds is based on the calculated credit limit. 16. The apparatus according to claim 14, wherein, when the daily refresh shows that new funds have entered the customer's current account, the at least one memory and the computer program code are further configured, with the at least one processor, to cause the apparatus to calculate a repayment amount and automatically attempt repayment on an outstanding balance corresponding to the amount of the deposited funds. 17. The apparatus according to claim 10, wherein the certain number of transactions comprise 90 days' worth of transactions from the applicant's bank account. 18. The apparatus according to claim 10, wherein the categories comprise at least one of overdraft fees, credit cards, benefits, payday, subprime credit cards, subprime loan, wages paid, debt management, debt recovery, rent & mortgages, ATM withdrawal, deposits, gambling, or loans. 19. A computer program, embodied on a computer readable medium, the computer program configured to control a processor to perform a process, comprising:
receiving an application form comprising banking credentials of an applicant; retrieving, based on the banking credentials, a current balance and a certain number of transactions for the applicant from a database; categorizing the transactions into a plurality of categories by searching the transactions for keywords; performing an affordability assessment to reject the applicants that cannot afford to repay in a sustainable manner; when the applicant passes the affordability assessment, performing a scorecard decision to assign a score to the customer and categorizing the applicant according to the score; and finally accepting or rejecting the application based on their score categorization. | 3,600 |
13,626 | 13,626 | 14,789,530 | 3,626 | A system for aiding a user in fulfillment of a set of prescriptions for a patient includes a user interface. The user interface has a prescription alignment screen that includes a first target date selection button and a second target date selection button. The user interface is configured such that the user can select a first target date and a second target date for the set of prescriptions. The user interface also includes a medication history screen that depicts a patient compliance rating. Additionally, the user interface has an order summary screen. The order summary screen includes contact information associated with the order. The contact information may be contact information of the patient or contact information of a person who is not the patient. | 1. A system for aiding a user in fulfillment of a set of prescriptions for a patient, the system comprising:
a user interface, the user interface comprising:
a prescription alignment screen that includes a first target date selection button and a second target date selection button, the user interface configured such that the user can select a first target date and a second target date for the set of prescriptions;
a medication history screen that includes a patient compliance rating; and
an order summary screen, the order summary screen including contact information associated with the order, the contact information being contact information of the patient or contact information of a person who is not the patient. 2. The system of claim 1, wherein the prescription alignment screen further includes a prescription fulfillment list of the set of prescriptions, the prescription fulfillment list depicting for each prescription in the set of prescriptions a number of days between either of the first target date and the second target date and a day on which a next fulfillment for the respective prescription is due. 3. The system of claim 2, wherein the prescription alignment screen further includes future target dates based on at least one of the first target date and the second target date. 4. The system of claim 3, wherein the prescription alignment screen further includes a recalculation button and the user interface configured such that the user can revise either of the first target date and the second target date and press the recalculation button and the prescription alignment screen will depict:
for each prescription in the set of prescriptions a revised number of days between either of the first target date and the second target date and a day on which a next fulfillment for the respective prescription is due; and revised future target dates. 5. The system of claim 2, wherein the prescription alignment screen further includes a prescription selection button for each prescription of the set of prescriptions, the user interface configured such that the user can select at least one prescription of the set of prescriptions for inclusion into prescription alignment for either of the first target date or the second target date. 6. The system of claim 1, wherein the prescription alignment screen further includes a prescription history list, the prescription history list including at least one name of previously-filled prescriptions and a medication compliance rating for at least one of the prescriptions of the prescription history list. 7. The system of claim 1, wherein the prescription alignment screen further includes a third target date selection button, the user interface configured such that the user can select a third target date for the set of prescriptions. 8. The system of claim 1, wherein the medication history screen further includes a prescription history list, the prescription history list including at least one name of previously-filled prescriptions and a medication compliance rating for at least one of the prescriptions of the prescription history list. 9. A system for synchronizing prescription fulfillment for a set of prescriptions for a patient, the system comprising:
a user interface, the user interface configured to display:
a first target date juxtaposed to a second target date;
a prescription fulfillment list of the set of prescriptions, the prescription fulfillment list depicting for each prescription in the set of prescriptions a number of days between either of the first target date and the second target date and a day on which a next fulfillment for the respective prescription is due;
a prescription history list, the prescription history list including at least one name of previously-filled prescriptions and a medication compliance rating for at least one of the prescriptions of the prescription history list; and
a patient compliance rating, the patient compliance rating reflecting at least one medication compliance rating. 10. The system of claim 9, wherein the user interface includes a first target date selection button and a second target date selection button, and the user interface is configured such that the user can select a first target date and a second target date for the set of prescriptions is configured such that the user can select the first target date and the second. 11. The system of claim 9, wherein the user interface is further configured to display future target dates based on at least one of the first target date and the second target date. 12. The system of claim 11, wherein the user interface includes a recalculation button and the user interface is configured such that the user can revise either of the first target date and the second target date and press the recalculation button and the user interface will display:
for each prescription in the set of prescriptions a revised number of days between either of the first target date and the second target date and a day on which a next fulfillment for the respective prescription is due; and revised future target dates. 13. The system of claim 9, wherein the user interface is further configured to display a prescription selection button for each prescription of the set of prescriptions, and the user interface is also configured such that the user can select at least one prescription of the set of prescriptions for inclusion into prescription alignment for either of the first target date or the second target date. 14. The system of claim 9, wherein the user interface is further configured to display a third target date juxtaposed to the first target date and the second target date. 15. A method of interacting with a user interface presented on a display device for filling a set of prescriptions for a patient, the method comprising:
entering a first target date in a prescription alignment screen within the user interface; selecting a first at least one prescription of the set of prescriptions for fulfillment on the first target date in the prescription alignment screen; entering a second target date in the prescription alignment screen; selecting a second at least one prescription of the set of prescriptions for fulfillment on the second target date in the prescription alignment screen; selecting a medication history screen within the user interface, the medication history screen displaying a patient compliance rating; and selecting an order summary screen within the user interface, the order summary screen displaying contact information associated with the order, the contact information being contact information of the patient or contact information of a person who is not the patient. 16. The method of claim 15 wherein, subsequent to either the step of entering the first target date or entering the second target date, the prescription alignment screen displays a prescription fulfillment list of the set of prescriptions, the prescription fulfillment list depicting for each prescription in the set of prescriptions a number of days between either of the first target date and the second target date and a day on which a next fulfillment for the respective prescription is due. 17. The method of claim 16 wherein, subsequent to either the step of entering the first target date or entering the second target date, the prescription alignment screen displays future target dates based on at least one of the first target date and the second target date. 18. The method of claim 17, further comprising steps of entering a revised first target date in the prescription alignment screen and selecting a recalculation button, wherein subsequent to the step of selecting the recalculation button, the prescription alignment screen depicts for each prescription in the set of prescriptions a revised number of days between either of the first target date and the second target date and a day on which a next fulfillment for the respective prescription is due; and revised future target dates. 19. The method of claim 20, further comprising steps of entering a third target date in the prescription alignment screen and selecting a third at least one prescription of the set of prescriptions for fulfillment on the third target date in the prescription alignment screen. 20. A method of providing compliance packaging for a patient, the method comprising:
entering a target date in a prescription alignment screen within the user interface; selecting at least two prescriptions of a set of prescriptions for fulfillment on the target date in the prescription alignment screen; and filling the at least two prescriptions in compliance packaging in which doses of the at least two prescriptions are packaged together in single use packages, each single use package consisting of a single dose of each of the at least two prescriptions. | A system for aiding a user in fulfillment of a set of prescriptions for a patient includes a user interface. The user interface has a prescription alignment screen that includes a first target date selection button and a second target date selection button. The user interface is configured such that the user can select a first target date and a second target date for the set of prescriptions. The user interface also includes a medication history screen that depicts a patient compliance rating. Additionally, the user interface has an order summary screen. The order summary screen includes contact information associated with the order. The contact information may be contact information of the patient or contact information of a person who is not the patient.1. A system for aiding a user in fulfillment of a set of prescriptions for a patient, the system comprising:
a user interface, the user interface comprising:
a prescription alignment screen that includes a first target date selection button and a second target date selection button, the user interface configured such that the user can select a first target date and a second target date for the set of prescriptions;
a medication history screen that includes a patient compliance rating; and
an order summary screen, the order summary screen including contact information associated with the order, the contact information being contact information of the patient or contact information of a person who is not the patient. 2. The system of claim 1, wherein the prescription alignment screen further includes a prescription fulfillment list of the set of prescriptions, the prescription fulfillment list depicting for each prescription in the set of prescriptions a number of days between either of the first target date and the second target date and a day on which a next fulfillment for the respective prescription is due. 3. The system of claim 2, wherein the prescription alignment screen further includes future target dates based on at least one of the first target date and the second target date. 4. The system of claim 3, wherein the prescription alignment screen further includes a recalculation button and the user interface configured such that the user can revise either of the first target date and the second target date and press the recalculation button and the prescription alignment screen will depict:
for each prescription in the set of prescriptions a revised number of days between either of the first target date and the second target date and a day on which a next fulfillment for the respective prescription is due; and revised future target dates. 5. The system of claim 2, wherein the prescription alignment screen further includes a prescription selection button for each prescription of the set of prescriptions, the user interface configured such that the user can select at least one prescription of the set of prescriptions for inclusion into prescription alignment for either of the first target date or the second target date. 6. The system of claim 1, wherein the prescription alignment screen further includes a prescription history list, the prescription history list including at least one name of previously-filled prescriptions and a medication compliance rating for at least one of the prescriptions of the prescription history list. 7. The system of claim 1, wherein the prescription alignment screen further includes a third target date selection button, the user interface configured such that the user can select a third target date for the set of prescriptions. 8. The system of claim 1, wherein the medication history screen further includes a prescription history list, the prescription history list including at least one name of previously-filled prescriptions and a medication compliance rating for at least one of the prescriptions of the prescription history list. 9. A system for synchronizing prescription fulfillment for a set of prescriptions for a patient, the system comprising:
a user interface, the user interface configured to display:
a first target date juxtaposed to a second target date;
a prescription fulfillment list of the set of prescriptions, the prescription fulfillment list depicting for each prescription in the set of prescriptions a number of days between either of the first target date and the second target date and a day on which a next fulfillment for the respective prescription is due;
a prescription history list, the prescription history list including at least one name of previously-filled prescriptions and a medication compliance rating for at least one of the prescriptions of the prescription history list; and
a patient compliance rating, the patient compliance rating reflecting at least one medication compliance rating. 10. The system of claim 9, wherein the user interface includes a first target date selection button and a second target date selection button, and the user interface is configured such that the user can select a first target date and a second target date for the set of prescriptions is configured such that the user can select the first target date and the second. 11. The system of claim 9, wherein the user interface is further configured to display future target dates based on at least one of the first target date and the second target date. 12. The system of claim 11, wherein the user interface includes a recalculation button and the user interface is configured such that the user can revise either of the first target date and the second target date and press the recalculation button and the user interface will display:
for each prescription in the set of prescriptions a revised number of days between either of the first target date and the second target date and a day on which a next fulfillment for the respective prescription is due; and revised future target dates. 13. The system of claim 9, wherein the user interface is further configured to display a prescription selection button for each prescription of the set of prescriptions, and the user interface is also configured such that the user can select at least one prescription of the set of prescriptions for inclusion into prescription alignment for either of the first target date or the second target date. 14. The system of claim 9, wherein the user interface is further configured to display a third target date juxtaposed to the first target date and the second target date. 15. A method of interacting with a user interface presented on a display device for filling a set of prescriptions for a patient, the method comprising:
entering a first target date in a prescription alignment screen within the user interface; selecting a first at least one prescription of the set of prescriptions for fulfillment on the first target date in the prescription alignment screen; entering a second target date in the prescription alignment screen; selecting a second at least one prescription of the set of prescriptions for fulfillment on the second target date in the prescription alignment screen; selecting a medication history screen within the user interface, the medication history screen displaying a patient compliance rating; and selecting an order summary screen within the user interface, the order summary screen displaying contact information associated with the order, the contact information being contact information of the patient or contact information of a person who is not the patient. 16. The method of claim 15 wherein, subsequent to either the step of entering the first target date or entering the second target date, the prescription alignment screen displays a prescription fulfillment list of the set of prescriptions, the prescription fulfillment list depicting for each prescription in the set of prescriptions a number of days between either of the first target date and the second target date and a day on which a next fulfillment for the respective prescription is due. 17. The method of claim 16 wherein, subsequent to either the step of entering the first target date or entering the second target date, the prescription alignment screen displays future target dates based on at least one of the first target date and the second target date. 18. The method of claim 17, further comprising steps of entering a revised first target date in the prescription alignment screen and selecting a recalculation button, wherein subsequent to the step of selecting the recalculation button, the prescription alignment screen depicts for each prescription in the set of prescriptions a revised number of days between either of the first target date and the second target date and a day on which a next fulfillment for the respective prescription is due; and revised future target dates. 19. The method of claim 20, further comprising steps of entering a third target date in the prescription alignment screen and selecting a third at least one prescription of the set of prescriptions for fulfillment on the third target date in the prescription alignment screen. 20. A method of providing compliance packaging for a patient, the method comprising:
entering a target date in a prescription alignment screen within the user interface; selecting at least two prescriptions of a set of prescriptions for fulfillment on the target date in the prescription alignment screen; and filling the at least two prescriptions in compliance packaging in which doses of the at least two prescriptions are packaged together in single use packages, each single use package consisting of a single dose of each of the at least two prescriptions. | 3,600 |
13,627 | 13,627 | 14,192,542 | 3,686 | The present invention provides a comprehensive tissue management system for transplantable materials like tissues and organs. The tracking portion of the system prompts and verifies that staff members of a medical establishment like a hospital have handled, stored, transported, reconstituted, and used the tissue or organ materials in a safe and regulatory-compliant manner from the point of receipt to the point of issuance or surgical use throughout the hospital's organization. The tracing portion of the system creates an integral record that documents which hospital staff members have provided which processing steps to the tissue or organ, any associated materials used in conjunction with such tissue or organ, and an identification of the tissue or organ that was transplanted or implanted inside a patient. Such a system will enable adverse reaction investigations for transplant patients, and recalls of transplantable materials. | 1. A method for tracking the internal processing by a medical establishment of a piece of transplantable material provided by a supplier for subsequent transplantation or implantation into a patient, wherein a computer database, processor, and software program containing an organized set of instructions in coded language are provided for storing and processing information, such method comprising the steps of:
(a) assigning a unique identification code to the transplantable material upon its receipt by the medical establishment from the supplier; (b) inspecting the transplantable material upon its receipt from the supplier for an unsafe condition; (c) providing a comprehensive set of standard operating procedures adopted by the medical establishment covering at least one step for the login, handling, storage conditions, reconstitution, or surgical use of the transplantable material by staff members of the medical establishment in a manner compliant with prevailing safety regulations and industry mandates; (d) entering into the database required data concerning how the at least one step for the login, handling, storage conditions, reconstitution or surgical use of the transplantable material by the staff member was carried out; (e) processing such entered data by the software program which is built upon the standard operating procedures to ensure that the step for the login, handling, storage conditions, reconstitution, or surgical use of the transplantable material was conducted strictly in a manner compliant with the standard operating procedures before the next step for the login, handling, storage conditions, reconstitution, or surgical use of the transplantable material can be undertaken by the staff members; (f) assessing the patient after transplantation or implantation of the transplantable material for evidence of an adverse effect; (g) investigating any such adverse effect discovered in the patient to determine whether it constitutes an adverse reaction; (h) reporting any such adverse reaction to the supplier that supplied the transplant material to the medical establishment; (i) wherein the transplantable material is chosen from the group consisting of human cells, tissue, or organs intended for implantation, transplantation, infusion, or transfer to a patient, including, but not limited to: musculoskeletal tissues like bone, tendons, fascia, ligaments, cartilage, and bioengineered bone products; skin; cardiovascular tissues like heart valves, arteries, veins, and pericardium; reproductive cells like sperm, semen, oocytes, fertilized eggs, and embryos; cellular therapies like stem cells, progenitor cells, cord blood, chondrocytes, bone marrow, and neural cells; dura mater; breast milk; eyes; corneas; organs; islet cells; parathyroids; autologous tissue; and synthetic and xenographic tissue used as replacements for human tissue; as well as non-biologic implants, including but not limited to: titanium screws, titanium or carbon-fiber cages or resorbable cages, fixation systems, saline or silicone breast implants, synthetic polymers, prosthetic hips, knees and other joint combinations thereof; as well as surgical instruments, equipment, reagents, and supplies associated with the transplanting or implanting of any transplant material into a patient; and; (j) wherein the medical establishment is an organization directed to the storage, research, transplantation, or implantation of transplantable materials chosen from the group consisting of hospitals, medical clinics, surgical centers, fertility clinics, tissue banks, organ donor banks, university and research facilities, diagnostic laboratories, and willed body programs. 2. The transplantable material tracking method of claim 1 further comprising designating one or more staff members of the medical establishment with specific responsibility for conducting each of the steps (a-f). 3. The transplantable material tracking method of claim 1 further comprising the step of certifying that the supplier currently possesses all required regulatory certifications and licenses to supply the transplantable material. 4. The transplantable material tracking method of claim 1 further comprising evaluating the safety or health risks posed by transplantable materials supplied by the supplier against the benefits provided by such transplantable materials. 5. The transplantable material tracking method of claim 4, wherein input from a transplant surgeon is obtained when conducting the risk-benefit analysis. 6. The transplantable material tracking method of claim 1 further comprising ensuring that a staff member of the medical establishment who performs any of the steps (a-f) possesses a relevant educational background for performing such step. 7. The transplantable material tracking method of claim 1 further comprising providing relevant training to a staff member of the medical establishment who performs any of the steps (a-h). 8. The transplantable material tracking method of claim 1 further comprising providing relevant policies or procedures to the staff members in support of the reliable conduct of any of the steps (a-h). 9. The transplantable material tracking method of claim 1 further comprising periodic auditing of the medical establishment to ensure that each step (a-h) is being conducted properly. 10. A method for tracing a piece of transplantable material received by a medical establishment from a supplier throughout the internal life of the transplantable material within the medical establishment until it is transplanted or implanted into a patient, wherein a computer database, processor, and software program containing an organized set of instructions in coded language are provided for storing and processing information, such method comprising:
(a) assigning a unique identification code for the transplantable material upon its receipt by the medical establishment from the supplier; (b) providing a comprehensive set of standard operating procedures adopted by the medical establishment covering the data that must be recorded to adequately describe at least one step for the login, handling, storage conditions, reconstitution, or surgical use of the transplantable material carried out by staff members of the medical establishment with respect to the transplantable material; (c) documenting into the database by a staff member data for the completion of at least one step for the login, handling, storage conditions, reconstitution, or surgical use applied by staff members to the transplantable material; (d) documenting in the database the identity of each staff member who comes into contact with the transplantable material; (e) documenting in the database the date and time of each processing step applied to the transplantable material; (f) documenting in the database all materials used to prepare and process the transplantable material; (g) documenting in the database the unique identification code of the transplantable material transplanted or implanted into the patient; (h) processing such entered data by the software program which is built upon the standard operating procedures to make sure that at least one of the documentation steps (c-g) complies with the documentation requirements under the standard operating procedures before the next step for the login, handling, storage conditions, reconstitution, or surgical use of the transplantable material can be undertaken by the staff members; (i) tracing the transplantable material back to the supplier that supplied it to the medical establishment or to the specific processing step applied by a staff member of the medical establishment to the transplantable upon request; (j) wherein the transplantable material is chosen from the group consisting of human cells, tissue, or organs intended for implantation, transplantation, infusion, or transfer to a patient, including, but not limited to: musculoskeletal tissues like bone, tendons, fascia, ligaments, cartilage, and bioengineered bone products; skin; cardiovascular tissues like heart valves, arteries, veins, and pericardium; reproductive cells like sperm, semen, oocytes, fertilized eggs, and embryos; cellular therapies like stem cells, progenitor cells, cord blood, chondrocytes, bone marrow, and neural cells; dura mater; breast milk; eyes; corneas; organs; islet cells; parathyroids; autologous tissue; and synthetic and xenographic tissue used as replacements for human tissue; as well as non-biologic implants, including but not limited to: titanium screws, titanium or carbon-fiber cages or resorbable cages, fixation systems, saline or silicone breast implants, synthetic polymers, prosthetic hips, knees and other joint combinations thereof; as well as surgical instruments, equipment, reagents, and supplies associated with the transplanting or implanting of any transplant material into a patient; and (k) wherein the medical establishment is an organization directed to the storage, research, transplantation, or implantation of transplantable materials chosen from the group consisting of hospitals, medical clinics, surgical centers, fertility clinics, tissue banks, organ donor banks, university and research facilities, diagnostic laboratories, and willed body programs. 11. The transplantable material tracing method of claim 10 further comprising designating one or more staff members of the medical establishment with specific responsibility for conducting each of the steps (a-g or i). 12. The transplantable material tracing method of claim 10 further comprising sending to the supplier a tissue utilization information card for the transplantable material transplanted or implanted in the patient. 13. The transplantable material tracing method of claim 10, wherein the tracing step is conducted in response to an adverse reaction detected in the patient into whom the transplantable material was transplanted or implanted. 14. The transplantable material tracing method of claim 13, wherein the supplier that supplied the transplantable material to the medical establishment is notified of the adverse reaction in the patient. 15. The transplantable material tracing method of claim 10, wherein the tracing step is conducted in response to a warning received from the supplier that supplied the transplantable material to the medical establishment. 16. The transplantable material tracing method of claim 13, wherein the adverse reaction investigation is conducted utilizing medical cladistics to identify risk clades. 17. The transplantable material tracing method of claim 10 further comprising ensuring that a staff member of the medical establishment who performs any of the steps (a-g or i) possesses a relevant educational background for performing such step. 18. The transplantable material tracing method of claim 10 further comprising providing relevant training to a staff member of the medical establishment who performs any of the steps (a-g or i). 19. The transplantable material tracing method of claim 10 further comprising providing relevant policies or procedures in support of the reliable conduct of any of the steps (a-g or i). 20. The transplantable material tracing method of claim 10 further comprising periodic auditing of the medical establishment to ensure that each step (a-g or i) is being conducted properly. 21. The transplantable material tracking method of claim 1 further comprising sending a tissue utilization card to the supplier documenting the transplantation or implantation of the transplantable material into the patient after the surgery. 22. The transplantable material tracing method of claim 10 further comprising sending a tissue utilization card to the supplier documenting the transplantation or implantation of the transplantable material into the patient after the surgery. | The present invention provides a comprehensive tissue management system for transplantable materials like tissues and organs. The tracking portion of the system prompts and verifies that staff members of a medical establishment like a hospital have handled, stored, transported, reconstituted, and used the tissue or organ materials in a safe and regulatory-compliant manner from the point of receipt to the point of issuance or surgical use throughout the hospital's organization. The tracing portion of the system creates an integral record that documents which hospital staff members have provided which processing steps to the tissue or organ, any associated materials used in conjunction with such tissue or organ, and an identification of the tissue or organ that was transplanted or implanted inside a patient. Such a system will enable adverse reaction investigations for transplant patients, and recalls of transplantable materials.1. A method for tracking the internal processing by a medical establishment of a piece of transplantable material provided by a supplier for subsequent transplantation or implantation into a patient, wherein a computer database, processor, and software program containing an organized set of instructions in coded language are provided for storing and processing information, such method comprising the steps of:
(a) assigning a unique identification code to the transplantable material upon its receipt by the medical establishment from the supplier; (b) inspecting the transplantable material upon its receipt from the supplier for an unsafe condition; (c) providing a comprehensive set of standard operating procedures adopted by the medical establishment covering at least one step for the login, handling, storage conditions, reconstitution, or surgical use of the transplantable material by staff members of the medical establishment in a manner compliant with prevailing safety regulations and industry mandates; (d) entering into the database required data concerning how the at least one step for the login, handling, storage conditions, reconstitution or surgical use of the transplantable material by the staff member was carried out; (e) processing such entered data by the software program which is built upon the standard operating procedures to ensure that the step for the login, handling, storage conditions, reconstitution, or surgical use of the transplantable material was conducted strictly in a manner compliant with the standard operating procedures before the next step for the login, handling, storage conditions, reconstitution, or surgical use of the transplantable material can be undertaken by the staff members; (f) assessing the patient after transplantation or implantation of the transplantable material for evidence of an adverse effect; (g) investigating any such adverse effect discovered in the patient to determine whether it constitutes an adverse reaction; (h) reporting any such adverse reaction to the supplier that supplied the transplant material to the medical establishment; (i) wherein the transplantable material is chosen from the group consisting of human cells, tissue, or organs intended for implantation, transplantation, infusion, or transfer to a patient, including, but not limited to: musculoskeletal tissues like bone, tendons, fascia, ligaments, cartilage, and bioengineered bone products; skin; cardiovascular tissues like heart valves, arteries, veins, and pericardium; reproductive cells like sperm, semen, oocytes, fertilized eggs, and embryos; cellular therapies like stem cells, progenitor cells, cord blood, chondrocytes, bone marrow, and neural cells; dura mater; breast milk; eyes; corneas; organs; islet cells; parathyroids; autologous tissue; and synthetic and xenographic tissue used as replacements for human tissue; as well as non-biologic implants, including but not limited to: titanium screws, titanium or carbon-fiber cages or resorbable cages, fixation systems, saline or silicone breast implants, synthetic polymers, prosthetic hips, knees and other joint combinations thereof; as well as surgical instruments, equipment, reagents, and supplies associated with the transplanting or implanting of any transplant material into a patient; and; (j) wherein the medical establishment is an organization directed to the storage, research, transplantation, or implantation of transplantable materials chosen from the group consisting of hospitals, medical clinics, surgical centers, fertility clinics, tissue banks, organ donor banks, university and research facilities, diagnostic laboratories, and willed body programs. 2. The transplantable material tracking method of claim 1 further comprising designating one or more staff members of the medical establishment with specific responsibility for conducting each of the steps (a-f). 3. The transplantable material tracking method of claim 1 further comprising the step of certifying that the supplier currently possesses all required regulatory certifications and licenses to supply the transplantable material. 4. The transplantable material tracking method of claim 1 further comprising evaluating the safety or health risks posed by transplantable materials supplied by the supplier against the benefits provided by such transplantable materials. 5. The transplantable material tracking method of claim 4, wherein input from a transplant surgeon is obtained when conducting the risk-benefit analysis. 6. The transplantable material tracking method of claim 1 further comprising ensuring that a staff member of the medical establishment who performs any of the steps (a-f) possesses a relevant educational background for performing such step. 7. The transplantable material tracking method of claim 1 further comprising providing relevant training to a staff member of the medical establishment who performs any of the steps (a-h). 8. The transplantable material tracking method of claim 1 further comprising providing relevant policies or procedures to the staff members in support of the reliable conduct of any of the steps (a-h). 9. The transplantable material tracking method of claim 1 further comprising periodic auditing of the medical establishment to ensure that each step (a-h) is being conducted properly. 10. A method for tracing a piece of transplantable material received by a medical establishment from a supplier throughout the internal life of the transplantable material within the medical establishment until it is transplanted or implanted into a patient, wherein a computer database, processor, and software program containing an organized set of instructions in coded language are provided for storing and processing information, such method comprising:
(a) assigning a unique identification code for the transplantable material upon its receipt by the medical establishment from the supplier; (b) providing a comprehensive set of standard operating procedures adopted by the medical establishment covering the data that must be recorded to adequately describe at least one step for the login, handling, storage conditions, reconstitution, or surgical use of the transplantable material carried out by staff members of the medical establishment with respect to the transplantable material; (c) documenting into the database by a staff member data for the completion of at least one step for the login, handling, storage conditions, reconstitution, or surgical use applied by staff members to the transplantable material; (d) documenting in the database the identity of each staff member who comes into contact with the transplantable material; (e) documenting in the database the date and time of each processing step applied to the transplantable material; (f) documenting in the database all materials used to prepare and process the transplantable material; (g) documenting in the database the unique identification code of the transplantable material transplanted or implanted into the patient; (h) processing such entered data by the software program which is built upon the standard operating procedures to make sure that at least one of the documentation steps (c-g) complies with the documentation requirements under the standard operating procedures before the next step for the login, handling, storage conditions, reconstitution, or surgical use of the transplantable material can be undertaken by the staff members; (i) tracing the transplantable material back to the supplier that supplied it to the medical establishment or to the specific processing step applied by a staff member of the medical establishment to the transplantable upon request; (j) wherein the transplantable material is chosen from the group consisting of human cells, tissue, or organs intended for implantation, transplantation, infusion, or transfer to a patient, including, but not limited to: musculoskeletal tissues like bone, tendons, fascia, ligaments, cartilage, and bioengineered bone products; skin; cardiovascular tissues like heart valves, arteries, veins, and pericardium; reproductive cells like sperm, semen, oocytes, fertilized eggs, and embryos; cellular therapies like stem cells, progenitor cells, cord blood, chondrocytes, bone marrow, and neural cells; dura mater; breast milk; eyes; corneas; organs; islet cells; parathyroids; autologous tissue; and synthetic and xenographic tissue used as replacements for human tissue; as well as non-biologic implants, including but not limited to: titanium screws, titanium or carbon-fiber cages or resorbable cages, fixation systems, saline or silicone breast implants, synthetic polymers, prosthetic hips, knees and other joint combinations thereof; as well as surgical instruments, equipment, reagents, and supplies associated with the transplanting or implanting of any transplant material into a patient; and (k) wherein the medical establishment is an organization directed to the storage, research, transplantation, or implantation of transplantable materials chosen from the group consisting of hospitals, medical clinics, surgical centers, fertility clinics, tissue banks, organ donor banks, university and research facilities, diagnostic laboratories, and willed body programs. 11. The transplantable material tracing method of claim 10 further comprising designating one or more staff members of the medical establishment with specific responsibility for conducting each of the steps (a-g or i). 12. The transplantable material tracing method of claim 10 further comprising sending to the supplier a tissue utilization information card for the transplantable material transplanted or implanted in the patient. 13. The transplantable material tracing method of claim 10, wherein the tracing step is conducted in response to an adverse reaction detected in the patient into whom the transplantable material was transplanted or implanted. 14. The transplantable material tracing method of claim 13, wherein the supplier that supplied the transplantable material to the medical establishment is notified of the adverse reaction in the patient. 15. The transplantable material tracing method of claim 10, wherein the tracing step is conducted in response to a warning received from the supplier that supplied the transplantable material to the medical establishment. 16. The transplantable material tracing method of claim 13, wherein the adverse reaction investigation is conducted utilizing medical cladistics to identify risk clades. 17. The transplantable material tracing method of claim 10 further comprising ensuring that a staff member of the medical establishment who performs any of the steps (a-g or i) possesses a relevant educational background for performing such step. 18. The transplantable material tracing method of claim 10 further comprising providing relevant training to a staff member of the medical establishment who performs any of the steps (a-g or i). 19. The transplantable material tracing method of claim 10 further comprising providing relevant policies or procedures in support of the reliable conduct of any of the steps (a-g or i). 20. The transplantable material tracing method of claim 10 further comprising periodic auditing of the medical establishment to ensure that each step (a-g or i) is being conducted properly. 21. The transplantable material tracking method of claim 1 further comprising sending a tissue utilization card to the supplier documenting the transplantation or implantation of the transplantable material into the patient after the surgery. 22. The transplantable material tracing method of claim 10 further comprising sending a tissue utilization card to the supplier documenting the transplantation or implantation of the transplantable material into the patient after the surgery. | 3,600 |
13,628 | 13,628 | 12,893,370 | 3,629 | According to some embodiments, it may be recognized that a consumer has placed a consumer object, such as a toy or action figure, into a field of view of a camera (e.g., a video camera incorporated into a portable computer). A software benefit associated with the consumer object may then be automatically determined, and, responsive to the recognition and determination, it may be arranged for the consumer to receive that software benefit (e.g., in a virtual world). | 1. A method, comprising:
recognizing that a consumer has placed a consumer object into a field of view of a camera; automatically determining a software benefit associated with the consumer object; and responsive to said recognition and determination, arranging for the consumer to receive the software benefit. 2. The method of claim 1, wherein the consumer object is associated with at least one of: (i) a toy, (ii) a doll, (iii) an action figure, (iv) a card, (v) a consumer object package, (vi) a sporting object, (vii) clothing, or (viii) a food item. 3. The method of claim 1, wherein the software benefit is associated with at least one of: (i) unlocking a software feature, (ii) adjusting a virtual world, (iii) simulating the consumer product, (iv) providing the consumer with a membership, (v) altering game play, or (vi) providing media content to the consumer. 4. The method of claim 1, wherein the software benefit is associated with use of the consumer product. 5. The method of claim 1, wherein the video camera is associated with at least one of: (i) a video camera, (ii) a cell phone, (iii) a personal computer, (iv) a portable computer, or (v) a game system. 6. The method of claim 1, wherein said recognizing, determining, and arranging are performed local to said consumer. 7. The method of claim 1, wherein at least one of said determining and said arranging are performed remote from said consumer. 8. The method of claim 1, wherein the automatic determination is performed in connection with at least one of: (i) a consumer product image database, or (ii) a software benefit database. 9. The method of claim 1, further comprising associating a consumer identifier with the recognized item. 10. The method of claim 1, wherein said associating further comprises:
recognizing that the consumer is within the field of view of the camera. 11. A system, comprising:
a camera to provide image information; a recognition engine, coupled to the camera, to recognize a consumer object within the image information; and a software benefit platform, coupled to the recognition engine, to (i) automatically determine a software benefit associated with the consumer object, and (ii) responsive to said recognition and determination, arrange for the consumer to receive the software benefit. 12. The system of claim 11, wherein the consumer object is associated with at least one of: (i) a toy, (ii) a doll, (iii) an action figure, (iv) a card, (v) a consumer object package, (vi) a sporting object, (vii) clothing, or (viii) a food item. 12. The system of claim 11, wherein the software benefit is associated with at least one of: (i) unlocking a software feature, (ii) adjusting a virtual world, (iii) simulating the consumer product, (iv) providing the consumer with a membership, (v) altering game play, or (vi) providing media content to the consumer. 14. The system of claim 11, wherein the video camera is associated with at least one of: (i) a video camera, (ii) a cell phone, (iii) a personal computer, (iv) a portable computer, or (v) a game system. 15. The system of claim 11, further comprising:
a consumer product image database coupled to said software benefit platform; and a software benefit database coupled to said software benefit platform. 16. A non-transitory, computer-readable medium storing instructions adapted to be executed by a processor to perform a method, the method comprising:
recognizing that a consumer has placed a consumer object into a field of view of a camera; automatically determining a software benefit associated with the consumer object; and responsive to said recognition and determination, arranging for the consumer to receive the software benefit. 17. The medium of claim 16, wherein the consumer object is associated with at least one of: (i) a toy, (ii) a doll, (iii) an action figure, (iv) a card, (v) a consumer object package, (vi) a sporting object, (vii) clothing, or (viii) a food item. 18. The medium of claim 16, wherein the software benefit is associated with at least one of: (i) unlocking a software feature, (ii) adjusting a virtual world, (iii) simulating the consumer product, (iv) providing the consumer with a membership, (v) altering game play, or (vi) providing media content to the consumer. 19. The medium of claim 16, wherein the video camera is associated with at least one of: (i) a video camera, (ii) a cell phone, (iii) a personal computer, (iv) a portable computer, or (v) a game system. 20. The medium of claim 16, further comprising associating a consumer identifier with the recognized item. | According to some embodiments, it may be recognized that a consumer has placed a consumer object, such as a toy or action figure, into a field of view of a camera (e.g., a video camera incorporated into a portable computer). A software benefit associated with the consumer object may then be automatically determined, and, responsive to the recognition and determination, it may be arranged for the consumer to receive that software benefit (e.g., in a virtual world).1. A method, comprising:
recognizing that a consumer has placed a consumer object into a field of view of a camera; automatically determining a software benefit associated with the consumer object; and responsive to said recognition and determination, arranging for the consumer to receive the software benefit. 2. The method of claim 1, wherein the consumer object is associated with at least one of: (i) a toy, (ii) a doll, (iii) an action figure, (iv) a card, (v) a consumer object package, (vi) a sporting object, (vii) clothing, or (viii) a food item. 3. The method of claim 1, wherein the software benefit is associated with at least one of: (i) unlocking a software feature, (ii) adjusting a virtual world, (iii) simulating the consumer product, (iv) providing the consumer with a membership, (v) altering game play, or (vi) providing media content to the consumer. 4. The method of claim 1, wherein the software benefit is associated with use of the consumer product. 5. The method of claim 1, wherein the video camera is associated with at least one of: (i) a video camera, (ii) a cell phone, (iii) a personal computer, (iv) a portable computer, or (v) a game system. 6. The method of claim 1, wherein said recognizing, determining, and arranging are performed local to said consumer. 7. The method of claim 1, wherein at least one of said determining and said arranging are performed remote from said consumer. 8. The method of claim 1, wherein the automatic determination is performed in connection with at least one of: (i) a consumer product image database, or (ii) a software benefit database. 9. The method of claim 1, further comprising associating a consumer identifier with the recognized item. 10. The method of claim 1, wherein said associating further comprises:
recognizing that the consumer is within the field of view of the camera. 11. A system, comprising:
a camera to provide image information; a recognition engine, coupled to the camera, to recognize a consumer object within the image information; and a software benefit platform, coupled to the recognition engine, to (i) automatically determine a software benefit associated with the consumer object, and (ii) responsive to said recognition and determination, arrange for the consumer to receive the software benefit. 12. The system of claim 11, wherein the consumer object is associated with at least one of: (i) a toy, (ii) a doll, (iii) an action figure, (iv) a card, (v) a consumer object package, (vi) a sporting object, (vii) clothing, or (viii) a food item. 12. The system of claim 11, wherein the software benefit is associated with at least one of: (i) unlocking a software feature, (ii) adjusting a virtual world, (iii) simulating the consumer product, (iv) providing the consumer with a membership, (v) altering game play, or (vi) providing media content to the consumer. 14. The system of claim 11, wherein the video camera is associated with at least one of: (i) a video camera, (ii) a cell phone, (iii) a personal computer, (iv) a portable computer, or (v) a game system. 15. The system of claim 11, further comprising:
a consumer product image database coupled to said software benefit platform; and a software benefit database coupled to said software benefit platform. 16. A non-transitory, computer-readable medium storing instructions adapted to be executed by a processor to perform a method, the method comprising:
recognizing that a consumer has placed a consumer object into a field of view of a camera; automatically determining a software benefit associated with the consumer object; and responsive to said recognition and determination, arranging for the consumer to receive the software benefit. 17. The medium of claim 16, wherein the consumer object is associated with at least one of: (i) a toy, (ii) a doll, (iii) an action figure, (iv) a card, (v) a consumer object package, (vi) a sporting object, (vii) clothing, or (viii) a food item. 18. The medium of claim 16, wherein the software benefit is associated with at least one of: (i) unlocking a software feature, (ii) adjusting a virtual world, (iii) simulating the consumer product, (iv) providing the consumer with a membership, (v) altering game play, or (vi) providing media content to the consumer. 19. The medium of claim 16, wherein the video camera is associated with at least one of: (i) a video camera, (ii) a cell phone, (iii) a personal computer, (iv) a portable computer, or (v) a game system. 20. The medium of claim 16, further comprising associating a consumer identifier with the recognized item. | 3,600 |
13,629 | 13,629 | 13,948,713 | 3,624 | A method, system, and computer program product are disclosed for guiding users in optimization-based planning under uncertainty. In one embodiment, the invention provides a method comprising identifying one or more characterizations of a specified uncertainty in a defined process; generating a set of plans based on the uncertainty characterization; and finding a new plan based on the existing set of plans, including identifying an added constraint, and finding a new plan that satisfies this added constraint. The new plan is analyzed to determine whether the new plan satisfies defined criteria; and when the new plan satisfies the defined criteria, the new plan is added to the set of plans. One of the plans is identified as a recommended plan for the defined process. In an embodiment, the recommended plan is identified based on a trade-off analysis of the plans using at least two defined aspects of the plans. | 1. A method of guiding users in optimization based planning under uncertainty, comprising:
identifying one or more characterizations of a specified uncertainty in a defined process; generating a set of plans, P based on the uncertainty characterization; finding a new plan, p, based on said existing set of plans, including identifying an added constraint to improve said set of plans, and finding a new plan that satisfies said added constraint; analyzing said new plan to determine whether said new plan satisfies defined criteria; when said new plan satisfies the defined criteria, adding the new plan to the set of plans; identifying one of the plans of the set of plans as a recommended plan for the defined process. 2. The method according to claim 1, wherein said identifying one of the plans of the set of plans as a recommended plan includes performing a trade-off analysis of the plans in the set of plans using at least two defined aspects of the plans. 3. The method according to claim 2, wherein said identifying one of the plans of the set of plans as a recommended plan further includes:
based on said trade-off analysis, removing selected ones of the plans from the set of plant to form a revised set of plans; and identifying one of the plans of the revised set of plans as the recommended plan for the defined process. 4. The method according to claim 3, wherein the removing selected ones of the plans includes optimizing an output of each plan of the set of plans across alternative input data sets. 5. The method according to claim 2, wherein the performing the trade-off analysis includes presenting a visualization of the defined aspects of the plans. 6. The method according to claim 1, wherein the specified uncertainty is a given range for a given parameter. 7. The method according to claim 1, wherein the specified uncertainty is calculated by using historic data. 8. The method according to claim 1, wherein the generating a set of plans based on the uncertainty characterization includes creating a deterministic optimization model, and solving said model for each of a plurality of input data scenarios and each of a plurality of data ranges. 9. The method according to claim 1, wherein the generating a set of plans based on the uncertainty characterization includes solving one or more robust formulations of a deterministic optimization model based on the uncertainty characterization. 10. The method according to claim 1, wherein the added constraint includes one or more defined measures of robustness. 11. A system for guiding users on optimization based planning under uncertainty, comprising:
a mechanism to analyze a set of plans and to use results of the analysis to guide users in selecting one of the set of plans, based on robustness, feasibility and optimality; a mechanism to visualize robustness of the plans in terms of optimality an feasibility; a mechanism to analyze a sensitivity of the plans with respect to specified uncertain data, and to use the analysis to guide users in considering alternative data; and a mechanism for adding a constraint to the set of plans and to generate a new plan based on said set of plans and satisfying said added constraint. 12. The system according to claim 11, wherein the mechanism to analyze the set of plans performs a trade-off analysis in terms of robustness and optimality. 13. The system according to claim 11, wherein the mechanism to visualize robustness receives results from the mechanism to analyze the set of plans and visualizes said results in interactive graphics. 14. The system according to claim 11, wherein the mechanism to analyze the sensitivity of the plans optimizes an outcome of the plans across alternative input data sets in order to calculate a sensitivity of the plans to changes in the input data. 15. The system according to claim 11, wherein the added constraint uses one or more defined measures of robustness. 16. An article of manufacture comprising:
at least one tangible compute readable device having computer readable program code logic tangibly embodied therein to guide users in optimization based planning under uncertainty, the computer readable program code logic, when executing on a computer: generating a set of plans, P, based on one or more characterizations of a specified uncertainty in a defined process; finding a new plan, p, based on said existing set of plans, including identifying an added constraint to improve said set of plans, and finding a new plan that satisfies said added constraint; analyzing said new plan to determine whether said new plan satisfies defined criteria; when said new plan satisfies the defined criteria, adding the new plan to the set of plans; identifying one of the plans of the set of plans as a recommended plan for the defined process. 17. The article of manufacture according to claim 16, wherein said identifying one of the plans of the set of plans as a recommended plan includes performing a trade-off analysis of the plans in the set of plans using at least two defined aspects of the plans. 18. The article of manufacture according to claim 17, wherein said identifying one of the plans of the set of plans as a recommended plan further includes:
based on said trade-off analysis, removing selected ones of the plans from the set of plant to form a revised set of plans; and identifying one of the plans of the revised set of plans as the recommended plan for the defined process. 19. The article of manufacture according to claim 18, wherein the removing selected ones of the plans includes optimizing an output of each plan of the set of plans across alternative input data sets. 20. The article of manufacture according to claim 16, wherein the generating a set of plans based on the uncertainty characterization includes creating a deterministic optimization model, and solving said model for each of a plurality of input data scenarios and each of a plurality of data ranges. | A method, system, and computer program product are disclosed for guiding users in optimization-based planning under uncertainty. In one embodiment, the invention provides a method comprising identifying one or more characterizations of a specified uncertainty in a defined process; generating a set of plans based on the uncertainty characterization; and finding a new plan based on the existing set of plans, including identifying an added constraint, and finding a new plan that satisfies this added constraint. The new plan is analyzed to determine whether the new plan satisfies defined criteria; and when the new plan satisfies the defined criteria, the new plan is added to the set of plans. One of the plans is identified as a recommended plan for the defined process. In an embodiment, the recommended plan is identified based on a trade-off analysis of the plans using at least two defined aspects of the plans.1. A method of guiding users in optimization based planning under uncertainty, comprising:
identifying one or more characterizations of a specified uncertainty in a defined process; generating a set of plans, P based on the uncertainty characterization; finding a new plan, p, based on said existing set of plans, including identifying an added constraint to improve said set of plans, and finding a new plan that satisfies said added constraint; analyzing said new plan to determine whether said new plan satisfies defined criteria; when said new plan satisfies the defined criteria, adding the new plan to the set of plans; identifying one of the plans of the set of plans as a recommended plan for the defined process. 2. The method according to claim 1, wherein said identifying one of the plans of the set of plans as a recommended plan includes performing a trade-off analysis of the plans in the set of plans using at least two defined aspects of the plans. 3. The method according to claim 2, wherein said identifying one of the plans of the set of plans as a recommended plan further includes:
based on said trade-off analysis, removing selected ones of the plans from the set of plant to form a revised set of plans; and identifying one of the plans of the revised set of plans as the recommended plan for the defined process. 4. The method according to claim 3, wherein the removing selected ones of the plans includes optimizing an output of each plan of the set of plans across alternative input data sets. 5. The method according to claim 2, wherein the performing the trade-off analysis includes presenting a visualization of the defined aspects of the plans. 6. The method according to claim 1, wherein the specified uncertainty is a given range for a given parameter. 7. The method according to claim 1, wherein the specified uncertainty is calculated by using historic data. 8. The method according to claim 1, wherein the generating a set of plans based on the uncertainty characterization includes creating a deterministic optimization model, and solving said model for each of a plurality of input data scenarios and each of a plurality of data ranges. 9. The method according to claim 1, wherein the generating a set of plans based on the uncertainty characterization includes solving one or more robust formulations of a deterministic optimization model based on the uncertainty characterization. 10. The method according to claim 1, wherein the added constraint includes one or more defined measures of robustness. 11. A system for guiding users on optimization based planning under uncertainty, comprising:
a mechanism to analyze a set of plans and to use results of the analysis to guide users in selecting one of the set of plans, based on robustness, feasibility and optimality; a mechanism to visualize robustness of the plans in terms of optimality an feasibility; a mechanism to analyze a sensitivity of the plans with respect to specified uncertain data, and to use the analysis to guide users in considering alternative data; and a mechanism for adding a constraint to the set of plans and to generate a new plan based on said set of plans and satisfying said added constraint. 12. The system according to claim 11, wherein the mechanism to analyze the set of plans performs a trade-off analysis in terms of robustness and optimality. 13. The system according to claim 11, wherein the mechanism to visualize robustness receives results from the mechanism to analyze the set of plans and visualizes said results in interactive graphics. 14. The system according to claim 11, wherein the mechanism to analyze the sensitivity of the plans optimizes an outcome of the plans across alternative input data sets in order to calculate a sensitivity of the plans to changes in the input data. 15. The system according to claim 11, wherein the added constraint uses one or more defined measures of robustness. 16. An article of manufacture comprising:
at least one tangible compute readable device having computer readable program code logic tangibly embodied therein to guide users in optimization based planning under uncertainty, the computer readable program code logic, when executing on a computer: generating a set of plans, P, based on one or more characterizations of a specified uncertainty in a defined process; finding a new plan, p, based on said existing set of plans, including identifying an added constraint to improve said set of plans, and finding a new plan that satisfies said added constraint; analyzing said new plan to determine whether said new plan satisfies defined criteria; when said new plan satisfies the defined criteria, adding the new plan to the set of plans; identifying one of the plans of the set of plans as a recommended plan for the defined process. 17. The article of manufacture according to claim 16, wherein said identifying one of the plans of the set of plans as a recommended plan includes performing a trade-off analysis of the plans in the set of plans using at least two defined aspects of the plans. 18. The article of manufacture according to claim 17, wherein said identifying one of the plans of the set of plans as a recommended plan further includes:
based on said trade-off analysis, removing selected ones of the plans from the set of plant to form a revised set of plans; and identifying one of the plans of the revised set of plans as the recommended plan for the defined process. 19. The article of manufacture according to claim 18, wherein the removing selected ones of the plans includes optimizing an output of each plan of the set of plans across alternative input data sets. 20. The article of manufacture according to claim 16, wherein the generating a set of plans based on the uncertainty characterization includes creating a deterministic optimization model, and solving said model for each of a plurality of input data scenarios and each of a plurality of data ranges. | 3,600 |
13,630 | 13,630 | 14,677,792 | 3,623 | Methods and systems for identifying high usage periods are provided herein. In one embodiment, a computer-implemented method comprises obtaining usage data covering a period of time, wherein the usage data comprises a plurality of usage values, each usage value indicating an amount of a commodity consumed over a respective time interval. The method also comprises grouping the usage values into a plurality of groups, wherein each group corresponds to a different time period, and, for each group, computing usage for the group based on the usage values in the group. The method further comprises identifying a group from the plurality of groups having a largest computed usage. | 1. A computer-implemented method, comprising:
obtaining usage data covering a period of time, wherein the usage data comprises a plurality of usage values, each usage value indicating an amount of a commodity consumed over a respective time interval; grouping the usage values into a plurality of groups, wherein each group corresponds to a different time period; for each group, computing usage for the group based on the usage values in the group; and identifying a group from the plurality of groups having a largest computed usage. 2. The computer-implemented method of claim 1, wherein each time period corresponds to a different time-of-day period. 3. The computer-implemented method of claim 2, wherein the period of time comprises a completed portion of a current billing period. 4. The computer-implemented method of claim 3, wherein at least 50% of the current billing period still remains. 5. The computer-implemented method of claim 2, wherein the period of time comprises past N number of days from a current time, wherein N is an integer. 6. The computer-implemented method of claim 5, wherein N is between three and fifteen. 7. The computer-implemented method of claim 2, further comprising generating a high usage period (HUP) notification, the HUP notification identifying the time period corresponding to the identified group. 8. The computer-implemented method of claim 7, further comprising:
computing total usage based on a sum of the computed usage for each group; and for each group, computing a usage percentage for the group based on the computed usage for the group and the computed total usage; wherein the HUP notification indicates the usage percentage for each group. 9. The computer-implemented method of claim 1, further comprising, for each group, computing usage data coverage for the group. 10. The computer-implemented method of claim 9, wherein computing the usage data coverage for the group comprises:
determining an amount of time covered by the usage values in the group; determining an amount of time covered by the group; and determining a ratio of the amount of time covered by the usage values in the group to the amount of time covered by the group. 11. The computer-implemented method of claim 9, wherein computing the usage for each of at least one of the groups comprises multiplying a sum of the usage values in the group by an inverse of the computed coverage for the group. 12. The computer-implemented method of claim 9, further comprising:
comparing the computed coverage for each group to a coverage threshold; and making a determination whether to send a high usage period (HUP) notification to a utility customer based on the comparison, the HUP notification identifying the time period corresponding to the identified group. 13. The computer-implemented method of claim 1, further comprising:
computing total usage based on a sum of the computed usage for each group; comparing the computed total usage to a usage threshold; and making a determination whether to send a high usage period (HUP) notification to a utility customer based on the comparison, the HUP notification identifying the time period corresponding to the identified group. 14. The computer-implemented method of claim 13, wherein the usage threshold is based on historical usage data for the utility customer. 15. The computer-implemented method of claim 14, wherein the usage threshold is based on a certain percentage above an amount of the commodity consumed over a second period of time, the second period of time occurring prior to the period of time covered by the obtained usage data. 16. The computer-implemented method of claim 13, wherein the usage threshold is based on usage data for a plurality of utility customers. 17. A system, comprising:
a computer processor; and a memory storing instructions that, when executed, cause the computer processor to:
obtain usage data covering a period of time, wherein the usage data comprises a plurality of usage values, each usage value indicating an amount of a commodity consumed over a respective time interval;
group the usage values into a plurality of groups, wherein each group corresponds to a different time period;
for each group, compute usage for the group based on the usage values in the group; and
identify a group from the plurality of groups having a largest computed usage. 18. A non-transitory computer-readable medium storing instructions that, when executed by a computer processor, cause the computer processor to:
obtain usage data covering a period of time, wherein the usage data comprises a plurality of usage values, each usage value indicating an amount of a commodity consumed over a respective time interval; group the usage values into a plurality of groups, wherein each group corresponds to a different time period; for each group, compute usage for the group based on the usage values in the group; and identify a group from the plurality of groups having a largest computed usage. | Methods and systems for identifying high usage periods are provided herein. In one embodiment, a computer-implemented method comprises obtaining usage data covering a period of time, wherein the usage data comprises a plurality of usage values, each usage value indicating an amount of a commodity consumed over a respective time interval. The method also comprises grouping the usage values into a plurality of groups, wherein each group corresponds to a different time period, and, for each group, computing usage for the group based on the usage values in the group. The method further comprises identifying a group from the plurality of groups having a largest computed usage.1. A computer-implemented method, comprising:
obtaining usage data covering a period of time, wherein the usage data comprises a plurality of usage values, each usage value indicating an amount of a commodity consumed over a respective time interval; grouping the usage values into a plurality of groups, wherein each group corresponds to a different time period; for each group, computing usage for the group based on the usage values in the group; and identifying a group from the plurality of groups having a largest computed usage. 2. The computer-implemented method of claim 1, wherein each time period corresponds to a different time-of-day period. 3. The computer-implemented method of claim 2, wherein the period of time comprises a completed portion of a current billing period. 4. The computer-implemented method of claim 3, wherein at least 50% of the current billing period still remains. 5. The computer-implemented method of claim 2, wherein the period of time comprises past N number of days from a current time, wherein N is an integer. 6. The computer-implemented method of claim 5, wherein N is between three and fifteen. 7. The computer-implemented method of claim 2, further comprising generating a high usage period (HUP) notification, the HUP notification identifying the time period corresponding to the identified group. 8. The computer-implemented method of claim 7, further comprising:
computing total usage based on a sum of the computed usage for each group; and for each group, computing a usage percentage for the group based on the computed usage for the group and the computed total usage; wherein the HUP notification indicates the usage percentage for each group. 9. The computer-implemented method of claim 1, further comprising, for each group, computing usage data coverage for the group. 10. The computer-implemented method of claim 9, wherein computing the usage data coverage for the group comprises:
determining an amount of time covered by the usage values in the group; determining an amount of time covered by the group; and determining a ratio of the amount of time covered by the usage values in the group to the amount of time covered by the group. 11. The computer-implemented method of claim 9, wherein computing the usage for each of at least one of the groups comprises multiplying a sum of the usage values in the group by an inverse of the computed coverage for the group. 12. The computer-implemented method of claim 9, further comprising:
comparing the computed coverage for each group to a coverage threshold; and making a determination whether to send a high usage period (HUP) notification to a utility customer based on the comparison, the HUP notification identifying the time period corresponding to the identified group. 13. The computer-implemented method of claim 1, further comprising:
computing total usage based on a sum of the computed usage for each group; comparing the computed total usage to a usage threshold; and making a determination whether to send a high usage period (HUP) notification to a utility customer based on the comparison, the HUP notification identifying the time period corresponding to the identified group. 14. The computer-implemented method of claim 13, wherein the usage threshold is based on historical usage data for the utility customer. 15. The computer-implemented method of claim 14, wherein the usage threshold is based on a certain percentage above an amount of the commodity consumed over a second period of time, the second period of time occurring prior to the period of time covered by the obtained usage data. 16. The computer-implemented method of claim 13, wherein the usage threshold is based on usage data for a plurality of utility customers. 17. A system, comprising:
a computer processor; and a memory storing instructions that, when executed, cause the computer processor to:
obtain usage data covering a period of time, wherein the usage data comprises a plurality of usage values, each usage value indicating an amount of a commodity consumed over a respective time interval;
group the usage values into a plurality of groups, wherein each group corresponds to a different time period;
for each group, compute usage for the group based on the usage values in the group; and
identify a group from the plurality of groups having a largest computed usage. 18. A non-transitory computer-readable medium storing instructions that, when executed by a computer processor, cause the computer processor to:
obtain usage data covering a period of time, wherein the usage data comprises a plurality of usage values, each usage value indicating an amount of a commodity consumed over a respective time interval; group the usage values into a plurality of groups, wherein each group corresponds to a different time period; for each group, compute usage for the group based on the usage values in the group; and identify a group from the plurality of groups having a largest computed usage. | 3,600 |
13,631 | 13,631 | 14,600,420 | 3,688 | Methods, systems and media for presenting media content that was advertised on a second screen device using a primary screen device are provided. In some implementations, a method for advertising media content to a user is provided, the method comprising: receiving information indicating that a media presentation device has presented first media content; receiving an advertisement request from a computing device associated with the media presentation device that is capable of receiving media content from a remote source and causing it to be presented; selecting an advertisement for second media content based on the first media content having been presented by the media presentation device; and causing the second advertisement to be presented by the computing device with instructions that, in response to interaction with the advertisement, cause the computing device to instruct the media presentation device to present the second media content. | 1. A method for advertising media content to a user, comprising:
receiving, using a hardware processor, a first advertisement request from a computing device executing a browser application, wherein the advertisement request is associated with a first web page; receiving first information indicating that the computing device is associated with a first media presentation device; in response to the first advertisement request, selecting a first advertisement for first media content based at least in part on the first information; causing the first advertisement to be presented by the browser application, wherein the first advertisement causes the browser application to execute a first set of instructions in response to detecting interaction with the first advertisement,
wherein the first set of instructions, when executed by the browser application, cause the media presentation device to request the first media content from an address associated with the first media content;
receiving an indication that the first media content has been presented by the media presentation device; receiving a second advertisement request from the browser application, wherein the second advertisement request is associated with a second web page; receiving second information indicating that the computing device is associated with a second media presentation device; in response to the second advertisement request, selecting a second advertisement for second media content based at least in part on the second information and the indication that the first media content has been presented, wherein the first media content and the second media content are related; and causing the second advertisement to be presented by the browser application, wherein the second advertisement causes the browser application to execute a second set of instructions in response to detecting interaction with the second advertisement,
wherein the second set of instructions, when executed by the browser application, cause the media presentation device to request the second media content from an address associated with the second media content. 2. The method of claim 1, wherein detecting interaction with the first advertisement comprises detecting that an area corresponding to the first advertisement has been selected using the computing device. 3. The method of claim 1, wherein detecting interaction with the first advertisement comprises detecting that a cursor of the computing device has been in an area corresponding to the first advertisement for at least a threshold amount of time. 4. The method of claim 1, further comprising receiving status information of the first media presentation device, and wherein selecting the first advertisement is selected based at least in part on the status information. 5. The method of claim 1, wherein selecting the first advertisement comprises selecting the first advertisement from a plurality of advertisements associated with the web page. 6. The method of claim 1, wherein selecting the first advertisement comprises using a real-time bidding process to select the first advertisement. 7. The method of claim 6, wherein information derived from the first information is made available to bidders in the real-time bidding process. 8. The method of claim 1, wherein the first web page is a web page including a plurality of search engine search results, and wherein the first advertisement is a text-based search advertisement. 9. A method for advertising media content to a user, comprising:
Receiving, using a hardware processor, information indicating that a media presentation device has presented first media content; receiving an advertisement request from a computing device associated with the media presentation device, wherein the media presentation device is a separate device that is capable of receiving media content from a remote source and causing the received media content to be presented by a display device; in response to the advertisement request, selecting an advertisement for second media content based at least in part on the information indicating that the first media content has been presented by the media presentation device, wherein the first media content and the second media content are related; and causing the second advertisement to be presented by computing device, wherein the second advertisement is associated with instructions that, in response to the computing device receiving input indicating interaction with the advertisement, cause the computing device to instruct the media presentation device to present the second media content. 10. The method of claim 9, wherein the information indicating that the media presentation device has presented the first media content is included in a browser cookie stored by the computing device, and wherein receiving the information indicating that the media presentation device has presented the first media content comprises receiving at least a portion of the information included in the cookie. 11. The method of claim 10, wherein at least a portion of the information included in the cookie is encoded, and wherein selecting the advertisement for second media content comprises making at least the encoded information available to a plurality of advertisers including an advertiser associated with the advertisement. 12. The method of claim 9, wherein the information indicating that the media presentation device has presented the first media content includes identifying information of the computing device which is used to determine that the media presentation device has presented the first media content, and wherein selecting the advertisement for second media content comprises making information derived from the identifying information available to a plurality of advertisers including an advertiser associated with the advertisement. 13. The method of claim 9, wherein detecting interaction with the first advertisement comprises detecting that an area corresponding to the first advertisement has been selected using the computing device. 14. The method of claim 9, wherein detecting interaction with the first advertisement comprises detecting that a cursor of the computing device has been in an area corresponding to the first advertisement for at least a threshold amount of time. 15. The method of claim 9, further comprising receiving status information of the media presentation device, and wherein selecting the first advertisement is selected based at least in part on the status information. | Methods, systems and media for presenting media content that was advertised on a second screen device using a primary screen device are provided. In some implementations, a method for advertising media content to a user is provided, the method comprising: receiving information indicating that a media presentation device has presented first media content; receiving an advertisement request from a computing device associated with the media presentation device that is capable of receiving media content from a remote source and causing it to be presented; selecting an advertisement for second media content based on the first media content having been presented by the media presentation device; and causing the second advertisement to be presented by the computing device with instructions that, in response to interaction with the advertisement, cause the computing device to instruct the media presentation device to present the second media content.1. A method for advertising media content to a user, comprising:
receiving, using a hardware processor, a first advertisement request from a computing device executing a browser application, wherein the advertisement request is associated with a first web page; receiving first information indicating that the computing device is associated with a first media presentation device; in response to the first advertisement request, selecting a first advertisement for first media content based at least in part on the first information; causing the first advertisement to be presented by the browser application, wherein the first advertisement causes the browser application to execute a first set of instructions in response to detecting interaction with the first advertisement,
wherein the first set of instructions, when executed by the browser application, cause the media presentation device to request the first media content from an address associated with the first media content;
receiving an indication that the first media content has been presented by the media presentation device; receiving a second advertisement request from the browser application, wherein the second advertisement request is associated with a second web page; receiving second information indicating that the computing device is associated with a second media presentation device; in response to the second advertisement request, selecting a second advertisement for second media content based at least in part on the second information and the indication that the first media content has been presented, wherein the first media content and the second media content are related; and causing the second advertisement to be presented by the browser application, wherein the second advertisement causes the browser application to execute a second set of instructions in response to detecting interaction with the second advertisement,
wherein the second set of instructions, when executed by the browser application, cause the media presentation device to request the second media content from an address associated with the second media content. 2. The method of claim 1, wherein detecting interaction with the first advertisement comprises detecting that an area corresponding to the first advertisement has been selected using the computing device. 3. The method of claim 1, wherein detecting interaction with the first advertisement comprises detecting that a cursor of the computing device has been in an area corresponding to the first advertisement for at least a threshold amount of time. 4. The method of claim 1, further comprising receiving status information of the first media presentation device, and wherein selecting the first advertisement is selected based at least in part on the status information. 5. The method of claim 1, wherein selecting the first advertisement comprises selecting the first advertisement from a plurality of advertisements associated with the web page. 6. The method of claim 1, wherein selecting the first advertisement comprises using a real-time bidding process to select the first advertisement. 7. The method of claim 6, wherein information derived from the first information is made available to bidders in the real-time bidding process. 8. The method of claim 1, wherein the first web page is a web page including a plurality of search engine search results, and wherein the first advertisement is a text-based search advertisement. 9. A method for advertising media content to a user, comprising:
Receiving, using a hardware processor, information indicating that a media presentation device has presented first media content; receiving an advertisement request from a computing device associated with the media presentation device, wherein the media presentation device is a separate device that is capable of receiving media content from a remote source and causing the received media content to be presented by a display device; in response to the advertisement request, selecting an advertisement for second media content based at least in part on the information indicating that the first media content has been presented by the media presentation device, wherein the first media content and the second media content are related; and causing the second advertisement to be presented by computing device, wherein the second advertisement is associated with instructions that, in response to the computing device receiving input indicating interaction with the advertisement, cause the computing device to instruct the media presentation device to present the second media content. 10. The method of claim 9, wherein the information indicating that the media presentation device has presented the first media content is included in a browser cookie stored by the computing device, and wherein receiving the information indicating that the media presentation device has presented the first media content comprises receiving at least a portion of the information included in the cookie. 11. The method of claim 10, wherein at least a portion of the information included in the cookie is encoded, and wherein selecting the advertisement for second media content comprises making at least the encoded information available to a plurality of advertisers including an advertiser associated with the advertisement. 12. The method of claim 9, wherein the information indicating that the media presentation device has presented the first media content includes identifying information of the computing device which is used to determine that the media presentation device has presented the first media content, and wherein selecting the advertisement for second media content comprises making information derived from the identifying information available to a plurality of advertisers including an advertiser associated with the advertisement. 13. The method of claim 9, wherein detecting interaction with the first advertisement comprises detecting that an area corresponding to the first advertisement has been selected using the computing device. 14. The method of claim 9, wherein detecting interaction with the first advertisement comprises detecting that a cursor of the computing device has been in an area corresponding to the first advertisement for at least a threshold amount of time. 15. The method of claim 9, further comprising receiving status information of the media presentation device, and wherein selecting the first advertisement is selected based at least in part on the status information. | 3,600 |
13,632 | 13,632 | 14,088,870 | 3,685 | Means and a computerized method for recommending items such as books and audio compact disks. For each item, a user profile includes ratings provided by users of the system. Unlike present recommendation systems, the user profiles do not include pre-computed similarity factors measuring similarity between users. Rather, when an advisee requests a recommendation, similarity measures are computed comparing the advisee to other users, and the similarity measures are associated with the other users. A subset of the users is selected, where the subset includes the users most similar to the advisee. A recommendation is made based on the ratings by the members of the selected subset. | 1. A recommendation system comprising a computer-readable storage device having program code stored in the storage device, wherein:
the computer readable storage device includes a plurality of records; each of the plurality of records includes a user identifier, an item identifier, and a rating value; each of the plurality of records is linked in a first and a second dimension; the first dimension links records with a same user identifier in a sequence according to the item identifier; and the second dimension links records with a same item identifier in a sequence according to the user identifier,
and the recommendation system is operable to:
update only similarity factors between neighboring users and an advisee for a new rating being entered for at least one advisee profile; and
determine a ranked matching list of the neighboring users. 2. A method for generating a recommendation of an item to an advisee, the method comprising:
receiving, by a computing apparatus of a recommendation system, a recommendation request including a selected item list of an advisee; selecting, by the computing apparatus, a first set of users from a plurality of users of the recommendation system based on the selected item list; selecting, by the computing apparatus, neighboring users from the first set of users based on similarities between the advisee and each member of the first set of users; and generating, by the computing apparatus, a recommendation of at least one item from the selected item list based on ratings provided by each of the neighboring users. 3. The method of claim 2, wherein the recommendation of the at least one item includes only items that are included in the selected item list. 4. The method of claim 2, wherein the selecting the neighboring users comprises determining the similarities between the advisee and each member of the first set of users after receiving the selected item list. 5. The method of claim 4, wherein determining the similarities comprises:
determining a plurality of similarity factors based on at least one advisee profile; and determining which of the plurality of users has already rated the at least one item. 6. The method of claim 2, further comprising determining the similarities by computing a plurality of similarity factors between the advisee and the neighboring users only for the items of the selected item list. 7. The method of claim 6, wherein all items upon which the computing depends are included in the selected item list. 8. The method of claim 6, wherein the plurality of similarity factors are not calculated with respect to all users of the recommendation system for every individual recommendation request. 9. The method of claim 2, further comprising assigning confidence factors to an advisee profile and user profiles of the first set of users, wherein the confidence factors are based on the combined effect of selected pieces of information recorded in the advisee profile and the user profiles. 10. The method of claim 2, wherein a member of the first set of users is selected as a neighboring user if the similarities between the advisee and the member are greater than a predetermined threshold. 11. The method of claim 2, further comprising assigning a weight to each of the neighboring users, wherein a first one of the neighboring users having a greater similarity to the advisee is assigned a weight that is greater than a second one of the neighboring users having a lesser similarity to the advisee. 12. The method of claim 2, further comprising updating the selected neighboring users each time a new rating is entered or inferred during the recommendation request. 13. The method of claim 2, further comprising creating a user profile for each of the plurality of users, wherein the user profiles do not include any pre-computed similarity factors. | Means and a computerized method for recommending items such as books and audio compact disks. For each item, a user profile includes ratings provided by users of the system. Unlike present recommendation systems, the user profiles do not include pre-computed similarity factors measuring similarity between users. Rather, when an advisee requests a recommendation, similarity measures are computed comparing the advisee to other users, and the similarity measures are associated with the other users. A subset of the users is selected, where the subset includes the users most similar to the advisee. A recommendation is made based on the ratings by the members of the selected subset.1. A recommendation system comprising a computer-readable storage device having program code stored in the storage device, wherein:
the computer readable storage device includes a plurality of records; each of the plurality of records includes a user identifier, an item identifier, and a rating value; each of the plurality of records is linked in a first and a second dimension; the first dimension links records with a same user identifier in a sequence according to the item identifier; and the second dimension links records with a same item identifier in a sequence according to the user identifier,
and the recommendation system is operable to:
update only similarity factors between neighboring users and an advisee for a new rating being entered for at least one advisee profile; and
determine a ranked matching list of the neighboring users. 2. A method for generating a recommendation of an item to an advisee, the method comprising:
receiving, by a computing apparatus of a recommendation system, a recommendation request including a selected item list of an advisee; selecting, by the computing apparatus, a first set of users from a plurality of users of the recommendation system based on the selected item list; selecting, by the computing apparatus, neighboring users from the first set of users based on similarities between the advisee and each member of the first set of users; and generating, by the computing apparatus, a recommendation of at least one item from the selected item list based on ratings provided by each of the neighboring users. 3. The method of claim 2, wherein the recommendation of the at least one item includes only items that are included in the selected item list. 4. The method of claim 2, wherein the selecting the neighboring users comprises determining the similarities between the advisee and each member of the first set of users after receiving the selected item list. 5. The method of claim 4, wherein determining the similarities comprises:
determining a plurality of similarity factors based on at least one advisee profile; and determining which of the plurality of users has already rated the at least one item. 6. The method of claim 2, further comprising determining the similarities by computing a plurality of similarity factors between the advisee and the neighboring users only for the items of the selected item list. 7. The method of claim 6, wherein all items upon which the computing depends are included in the selected item list. 8. The method of claim 6, wherein the plurality of similarity factors are not calculated with respect to all users of the recommendation system for every individual recommendation request. 9. The method of claim 2, further comprising assigning confidence factors to an advisee profile and user profiles of the first set of users, wherein the confidence factors are based on the combined effect of selected pieces of information recorded in the advisee profile and the user profiles. 10. The method of claim 2, wherein a member of the first set of users is selected as a neighboring user if the similarities between the advisee and the member are greater than a predetermined threshold. 11. The method of claim 2, further comprising assigning a weight to each of the neighboring users, wherein a first one of the neighboring users having a greater similarity to the advisee is assigned a weight that is greater than a second one of the neighboring users having a lesser similarity to the advisee. 12. The method of claim 2, further comprising updating the selected neighboring users each time a new rating is entered or inferred during the recommendation request. 13. The method of claim 2, further comprising creating a user profile for each of the plurality of users, wherein the user profiles do not include any pre-computed similarity factors. | 3,600 |
13,633 | 13,633 | 14,224,571 | 3,681 | The selection of a shipping option responsive to an environmental preference is enabled. A user may indicate a shipping criteria preference including an environmental impact weighting. A cost value of each of a plurality of shipping options is determined including an environmental impact cost. A shipping option is selected and implemented for a shipping of an item as a function of the indicated environmental impact weighting. Each of the plurality of shipping option cost values may be dynamically recalculated and the status of at least one of the shipping options updated, the updating determining a change in value a shipping option cost value, an implemented selected shipping option changed to another of the plurality of shipping options as a function of the status updating. | 1. A method for enabling the selection of a shipping option responsive to an environmental preference, comprising:
selecting and implementing via a central processing unit a highest ranked one of a first ranked plurality of shipping options for a shipping of an item, wherein the plurality of shipping options are ranked in a first ranking as a function of shipping option cost values determined for each of the shipping options from at least one of environmental impact costs, shipping price costs and time-to-delivery costs; dynamically recalculating the determined cost values of at least one of the plurality of shipping options during a shipping of the item by the implemented highest ranked one of the first ranked plurality of shipping options; updating via the central processing unit the ranking of the plurality of shipping options to generate a second ranking of the shipping options that is different from the first ranking in response to a change in value of the recalculated at least one shipping option cost values; and changing via the central processing unit the implemented selected shipping option during the shipping of the item from the highest ranked one of the first ranking to another of the plurality of shipping options that is ranked higher in the second updated ranking. 2. The method of claim 1, further comprising:
integrating computer-readable program code into a computer system comprising the central processing unit, a computer readable memory and a computer readable storage medium, wherein the computer readable program code is embodied on the computer readable storage medium and comprises instructions that, when executed by the central processing unit via the computer readable memory, cause the central processing unit to perform the steps of selecting and implementing the highest ranked one of the first ranked plurality of shipping options in the first ranking, dynamically recalculating the determined cost values of the at least one of the plurality of shipping options during the shipping of the item by the implemented highest ranked one of the first ranked plurality of shipping options, updating the ranking of the plurality of shipping options to generate the second ranking of the shipping in response to the change in value of the recalculated at least one shipping option cost values; and changing the implemented selected shipping option during the shipping of the item from the highest ranked one of the first ranking to another of the plurality of shipping options that is ranked higher in the second updated ranking. 3. The method of claim 1, further comprising at least one of:
notifying a user of the change in value of the at least one of the determined shipping option cost values; presenting the updated second ranking of the plurality of shipping options to the user; and enabling the user to manually change the selected and implemented shipping option during the shipping of the item to the another of the presented shipping options in the updated second ranking of the plurality of shipping options. 4. The method of claim 3, wherein the updating via the central processing unit the ranking of the plurality of shipping options to generate the second ranking of the shipping options further comprises:
providing for an extended time period for responses of shipping option cost values from shipping option entities after an initial calculation and return of the first ranking of the shipping options; discovering during the extended time period that the another shipping option has newly available capacity for shipping the item; determining that using the newly available capacity in the another shipping option results in a lower environmental impact cost for the shipping the item than using the selected and implemented shipping option; and ranking the another shipping option higher than the selected and implemented shipping option in the updated second ranking in response to determining the lowered environmental impact cost for the shipping the item using the newly available capacity. 5. The method of claim 4, further comprising:
tracking a progression of the item through the selected and implemented shipping option; determining changes to environmental impact costs relevant to shipping of the item in response to a change in fuel supply or a change in availability within a transport system of the selected and implemented shipping option; informing the user of the determined changes to the environmental impact costs; and enabling the user to retain the selected and implemented shipping option in response to the information of the determined changes to the environmental impact costs, instead of switching to the another option that is ranked higher in the second rankings. 6. The method of claim 5, further comprising:
presenting the plurality of the shipping options to the user by presenting bids provided by at least one shipping vendor in response to a real-time query. 7. The method of claim 5, further comprising:
calculating a reward amount as a function of a weighting value of a user-indicated shipping preference environmental impact weighting or as a function of an environmental impact cost value of a one of the plurality of shipping options manually selected by the user; and providing the calculated reward amount to the user. 8. The method of claim 7, wherein the calculating and providing the reward amount comprises calculating and providing a long-term incentive as function of the user historically selecting shipping options with low environmental impacts on a plurality of historic item orders, the incentive at least one of a monetary value, a discount on offered items and a point value redeemable for goods or services. 9. An article of manufacture, comprising:
a storage device comprising computer executable program code stored thereon, the program code comprising instructions which, when executed on a computer system, cause the computer system to: select and implement a highest ranked one of a first plurality of shipping options to effect a shipping of an item, wherein the plurality of shipping options are ranked in a first ranking as a function of shipping option cost values determined for each of the shipping options from at least one of environmental impact costs, shipping price costs and time-to-delivery costs; dynamically recalculate the at least one of the plurality of shipping option determined cost values during a shipping of the item by the implemented highest ranked one of the first ranked plurality of shipping options; update the ranking of the shipping options to generate a second ranking of the shipping options that is different from the first ranking in response to a change in value of the recalculated at least one of the determined shipping option cost values; and change the implemented selected shipping option during the shipping of the item from the highest ranked one of the first ranking to another of the plurality of shipping options that is ranked higher in the second updated ranking. 10. The article of manufacture of claim 9, the program code comprising instructions which, when executed on the computer system, causes the computer system to:
notify a user of the change in value of the at least one of the determined shipping option cost values and of the updated second ranking of the presented plurality of shipping options; and enable the user to manually change the selected and implemented shipping option during the shipping of the item to the another of the plurality of shipping options presented in the updated second ranking through an input to the computer system. 11. The article of manufacture of claim 10, the program code comprising instructions which, when executed on the computer system, causes the computer system to update the ranking of the plurality of shipping options to generate the second ranking of the shipping options by:
providing for an extended time period for responses of shipping option cost values from shipping option entities after an initial calculation and return of the first ranking of the shipping options; discovering during the extended time period that the another shipping option has newly available capacity for shipping the item; determining that using the newly available capacity in the another shipping option results in a lower environmental impact cost for the shipping the item than using the selected and implemented shipping option; and ranking the another shipping option higher than the selected and implemented shipping option in the updated second ranking in response to determining the lowered environmental impact cost for the shipping the item using the newly available capacity. 12. The article of manufacture of claim 11, the program code comprising instructions which, when executed on the computer system, causes the computer system to:
track a progression of the item through the selected and implemented shipping option; determine changes to environmental impact costs relevant to shipping of the item in response to a change in fuel supply or a change in availability within a transport system of the selected and implemented shipping option; inform the user of the determined changes to the environmental impact costs; and enable the user to retain the selected and implemented shipping option in response to the information of the determined changes to the environmental impact costs, instead of switching to the another option that is ranked higher in the second rankings. 13. The article of manufacture of claim 11, the program code comprising instructions which, when executed on the computer system, causes the computer system to:
calculate a reward amount as a function of a weighting value of an indicated shipping preference environmental impact weighting or as a function of an environmental impact cost value of a one of the plurality of shipping options manually selected by the user; and provide the calculated reward amount to the user. 14. A system, comprising:
a central processing unit; a memory in communication with the central processing unit that comprises a logic component; and a network interface in communication with the central processing unit and the memory; wherein the central processing unit: selects and implements a highest ranked one of a first plurality of shipping options to effect a shipping of an item, wherein the plurality of shipping options are ranked in a first ranking as a function of shipping option cost values determined for each of the shipping options from at least one of environmental impact costs, shipping price costs and time-to-delivery costs; dynamically recalculates at least one of the plurality of shipping option determined cost values during the shipping of the item by the implemented highest ranked one of the first ranked plurality of shipping options; updates the ranking of the shipping options to generate a second ranking of the shipping options that is different from the first ranking in response to a change in value of at least one of the recalculated at least one shipping option cost values; and changes the implemented selected shipping option during the shipping of the item from the highest ranked one of the first ranking to another of the plurality of shipping options that is ranked higher in the second ranking as a function of the updated ranking. 15. The system of claim 14, wherein the central processing unit further:
notifies a user of the change in value of the at least one of the determined shipping option cost values and of the updated second ranking of the presented plurality of shipping options; and enables the user to manually change the selected and implemented shipping option during the shipping of the item to the another of the plurality of shipping options presented in the updated second ranking through an input to the system. 16. The system of claim 15, wherein the central processing unit updates the ranking of the plurality of shipping options to generate the second ranking of the shipping options by:
providing for an extended time period for responses of shipping option cost values from shipping option entities after an initial calculation and return of the first ranking of the shipping options; discovering during the extended time period that the another shipping option has newly available capacity for shipping the item; determining that using the newly available capacity in the another shipping option results in a lower environmental impact cost for the shipping the item than using the selected and implemented shipping option; and ranking the another shipping option higher than the selected and implemented shipping option in the updated second ranking in response to determining the lowered environmental impact cost for the shipping the item using the newly available capacity. 17. The system of claim 16, wherein the central processing unit:
tracks a progression of the item through the selected and implemented shipping option; determines changes to environmental impact costs relevant to shipping of the item in response to a change in fuel supply or a change in availability within a transport system of the selected and implemented shipping option; informs the user of the determined changes to the environmental impact costs; and enables the user, via an input to the system, to retain the selected and implemented shipping option in response to the information of the determined changes to the environmental impact costs, instead of switching to the another option that is ranked higher in the second rankings. 18. The system of claim 16, wherein the central processing unit:
calculates a reward amount as a function of a weighting value of an indicated shipping preference environmental impact weighting or as a function of an environmental impact cost value of a one of the plurality of shipping options manually selected by the user via an input to the system; and provides the calculated reward amount to the user. | The selection of a shipping option responsive to an environmental preference is enabled. A user may indicate a shipping criteria preference including an environmental impact weighting. A cost value of each of a plurality of shipping options is determined including an environmental impact cost. A shipping option is selected and implemented for a shipping of an item as a function of the indicated environmental impact weighting. Each of the plurality of shipping option cost values may be dynamically recalculated and the status of at least one of the shipping options updated, the updating determining a change in value a shipping option cost value, an implemented selected shipping option changed to another of the plurality of shipping options as a function of the status updating.1. A method for enabling the selection of a shipping option responsive to an environmental preference, comprising:
selecting and implementing via a central processing unit a highest ranked one of a first ranked plurality of shipping options for a shipping of an item, wherein the plurality of shipping options are ranked in a first ranking as a function of shipping option cost values determined for each of the shipping options from at least one of environmental impact costs, shipping price costs and time-to-delivery costs; dynamically recalculating the determined cost values of at least one of the plurality of shipping options during a shipping of the item by the implemented highest ranked one of the first ranked plurality of shipping options; updating via the central processing unit the ranking of the plurality of shipping options to generate a second ranking of the shipping options that is different from the first ranking in response to a change in value of the recalculated at least one shipping option cost values; and changing via the central processing unit the implemented selected shipping option during the shipping of the item from the highest ranked one of the first ranking to another of the plurality of shipping options that is ranked higher in the second updated ranking. 2. The method of claim 1, further comprising:
integrating computer-readable program code into a computer system comprising the central processing unit, a computer readable memory and a computer readable storage medium, wherein the computer readable program code is embodied on the computer readable storage medium and comprises instructions that, when executed by the central processing unit via the computer readable memory, cause the central processing unit to perform the steps of selecting and implementing the highest ranked one of the first ranked plurality of shipping options in the first ranking, dynamically recalculating the determined cost values of the at least one of the plurality of shipping options during the shipping of the item by the implemented highest ranked one of the first ranked plurality of shipping options, updating the ranking of the plurality of shipping options to generate the second ranking of the shipping in response to the change in value of the recalculated at least one shipping option cost values; and changing the implemented selected shipping option during the shipping of the item from the highest ranked one of the first ranking to another of the plurality of shipping options that is ranked higher in the second updated ranking. 3. The method of claim 1, further comprising at least one of:
notifying a user of the change in value of the at least one of the determined shipping option cost values; presenting the updated second ranking of the plurality of shipping options to the user; and enabling the user to manually change the selected and implemented shipping option during the shipping of the item to the another of the presented shipping options in the updated second ranking of the plurality of shipping options. 4. The method of claim 3, wherein the updating via the central processing unit the ranking of the plurality of shipping options to generate the second ranking of the shipping options further comprises:
providing for an extended time period for responses of shipping option cost values from shipping option entities after an initial calculation and return of the first ranking of the shipping options; discovering during the extended time period that the another shipping option has newly available capacity for shipping the item; determining that using the newly available capacity in the another shipping option results in a lower environmental impact cost for the shipping the item than using the selected and implemented shipping option; and ranking the another shipping option higher than the selected and implemented shipping option in the updated second ranking in response to determining the lowered environmental impact cost for the shipping the item using the newly available capacity. 5. The method of claim 4, further comprising:
tracking a progression of the item through the selected and implemented shipping option; determining changes to environmental impact costs relevant to shipping of the item in response to a change in fuel supply or a change in availability within a transport system of the selected and implemented shipping option; informing the user of the determined changes to the environmental impact costs; and enabling the user to retain the selected and implemented shipping option in response to the information of the determined changes to the environmental impact costs, instead of switching to the another option that is ranked higher in the second rankings. 6. The method of claim 5, further comprising:
presenting the plurality of the shipping options to the user by presenting bids provided by at least one shipping vendor in response to a real-time query. 7. The method of claim 5, further comprising:
calculating a reward amount as a function of a weighting value of a user-indicated shipping preference environmental impact weighting or as a function of an environmental impact cost value of a one of the plurality of shipping options manually selected by the user; and providing the calculated reward amount to the user. 8. The method of claim 7, wherein the calculating and providing the reward amount comprises calculating and providing a long-term incentive as function of the user historically selecting shipping options with low environmental impacts on a plurality of historic item orders, the incentive at least one of a monetary value, a discount on offered items and a point value redeemable for goods or services. 9. An article of manufacture, comprising:
a storage device comprising computer executable program code stored thereon, the program code comprising instructions which, when executed on a computer system, cause the computer system to: select and implement a highest ranked one of a first plurality of shipping options to effect a shipping of an item, wherein the plurality of shipping options are ranked in a first ranking as a function of shipping option cost values determined for each of the shipping options from at least one of environmental impact costs, shipping price costs and time-to-delivery costs; dynamically recalculate the at least one of the plurality of shipping option determined cost values during a shipping of the item by the implemented highest ranked one of the first ranked plurality of shipping options; update the ranking of the shipping options to generate a second ranking of the shipping options that is different from the first ranking in response to a change in value of the recalculated at least one of the determined shipping option cost values; and change the implemented selected shipping option during the shipping of the item from the highest ranked one of the first ranking to another of the plurality of shipping options that is ranked higher in the second updated ranking. 10. The article of manufacture of claim 9, the program code comprising instructions which, when executed on the computer system, causes the computer system to:
notify a user of the change in value of the at least one of the determined shipping option cost values and of the updated second ranking of the presented plurality of shipping options; and enable the user to manually change the selected and implemented shipping option during the shipping of the item to the another of the plurality of shipping options presented in the updated second ranking through an input to the computer system. 11. The article of manufacture of claim 10, the program code comprising instructions which, when executed on the computer system, causes the computer system to update the ranking of the plurality of shipping options to generate the second ranking of the shipping options by:
providing for an extended time period for responses of shipping option cost values from shipping option entities after an initial calculation and return of the first ranking of the shipping options; discovering during the extended time period that the another shipping option has newly available capacity for shipping the item; determining that using the newly available capacity in the another shipping option results in a lower environmental impact cost for the shipping the item than using the selected and implemented shipping option; and ranking the another shipping option higher than the selected and implemented shipping option in the updated second ranking in response to determining the lowered environmental impact cost for the shipping the item using the newly available capacity. 12. The article of manufacture of claim 11, the program code comprising instructions which, when executed on the computer system, causes the computer system to:
track a progression of the item through the selected and implemented shipping option; determine changes to environmental impact costs relevant to shipping of the item in response to a change in fuel supply or a change in availability within a transport system of the selected and implemented shipping option; inform the user of the determined changes to the environmental impact costs; and enable the user to retain the selected and implemented shipping option in response to the information of the determined changes to the environmental impact costs, instead of switching to the another option that is ranked higher in the second rankings. 13. The article of manufacture of claim 11, the program code comprising instructions which, when executed on the computer system, causes the computer system to:
calculate a reward amount as a function of a weighting value of an indicated shipping preference environmental impact weighting or as a function of an environmental impact cost value of a one of the plurality of shipping options manually selected by the user; and provide the calculated reward amount to the user. 14. A system, comprising:
a central processing unit; a memory in communication with the central processing unit that comprises a logic component; and a network interface in communication with the central processing unit and the memory; wherein the central processing unit: selects and implements a highest ranked one of a first plurality of shipping options to effect a shipping of an item, wherein the plurality of shipping options are ranked in a first ranking as a function of shipping option cost values determined for each of the shipping options from at least one of environmental impact costs, shipping price costs and time-to-delivery costs; dynamically recalculates at least one of the plurality of shipping option determined cost values during the shipping of the item by the implemented highest ranked one of the first ranked plurality of shipping options; updates the ranking of the shipping options to generate a second ranking of the shipping options that is different from the first ranking in response to a change in value of at least one of the recalculated at least one shipping option cost values; and changes the implemented selected shipping option during the shipping of the item from the highest ranked one of the first ranking to another of the plurality of shipping options that is ranked higher in the second ranking as a function of the updated ranking. 15. The system of claim 14, wherein the central processing unit further:
notifies a user of the change in value of the at least one of the determined shipping option cost values and of the updated second ranking of the presented plurality of shipping options; and enables the user to manually change the selected and implemented shipping option during the shipping of the item to the another of the plurality of shipping options presented in the updated second ranking through an input to the system. 16. The system of claim 15, wherein the central processing unit updates the ranking of the plurality of shipping options to generate the second ranking of the shipping options by:
providing for an extended time period for responses of shipping option cost values from shipping option entities after an initial calculation and return of the first ranking of the shipping options; discovering during the extended time period that the another shipping option has newly available capacity for shipping the item; determining that using the newly available capacity in the another shipping option results in a lower environmental impact cost for the shipping the item than using the selected and implemented shipping option; and ranking the another shipping option higher than the selected and implemented shipping option in the updated second ranking in response to determining the lowered environmental impact cost for the shipping the item using the newly available capacity. 17. The system of claim 16, wherein the central processing unit:
tracks a progression of the item through the selected and implemented shipping option; determines changes to environmental impact costs relevant to shipping of the item in response to a change in fuel supply or a change in availability within a transport system of the selected and implemented shipping option; informs the user of the determined changes to the environmental impact costs; and enables the user, via an input to the system, to retain the selected and implemented shipping option in response to the information of the determined changes to the environmental impact costs, instead of switching to the another option that is ranked higher in the second rankings. 18. The system of claim 16, wherein the central processing unit:
calculates a reward amount as a function of a weighting value of an indicated shipping preference environmental impact weighting or as a function of an environmental impact cost value of a one of the plurality of shipping options manually selected by the user via an input to the system; and provides the calculated reward amount to the user. | 3,600 |
13,634 | 13,634 | 13,613,862 | 3,694 | An electronic trading marketplace (ETM) communicates with interfacing modules interfacing directly with order management systems (OMS's) at trading institutions. The interfacing modules automatically transmit orders from the OMS databases to the ETM and update the OMS databases in response to orders executed at the ETM. Traders can communicate with the ETM to anonymously negotiate trades of securities. | 1-48. (canceled) 49. A method comprising:
receiving, by at least one electronic marketplace from a computer system configured to access an order management system of a trading firm, non-binding indication reflecting open orders in the order management system, in which the open orders include at least one first order; receiving, by the at least one electronic marketplace, at least one second order; determining, by the at least one electronic marketplace, that the second order matches the at least one first order; in response to determining that the second order matches the at least one first order, transmitting, from the electronic marketplace to the trading firm, a request for acceptance of a trade fulfilling at least part of the first order and at least part of the second order; receiving, by the electronic marketplace, the acceptance by the trading firm; in response to receiving the acceptance, facilitating execution of the trade, by the electronic marketplace, without a negotiation between the trading firm and an originator of the second order regarding the trade; and suppressing, by the electronic marketplace, evidence of the determination that the second order matches the at least one first order and the acceptance until after facilitating execution of the trade. 50. The method of claim 49, in which suppressing evidence of the determination and the acceptance includes at least one of: performing at least some actions as if the determination and the acceptance were not made, transmitting misleading information regarding the determination and the acceptance, and transmitting no information regarding the determination and the acceptance. 51. The method of claim 49, in which the first order includes an indication of a price range in which the trading firm agrees to execute the trade. 52. The method of claim 49, in which the execution of the trade includes an execution at a price determined by at least one of a midpoint pricing model and a volume weighted average pricing model. 53. The method of claim 49, in which the request for acceptance includes a request to which a response may be made for a limited amount of time, in which the trading firm may only accept the request during the limited amount of time. 54. The method of claim 49, in which the first order matches the second order if the first order and the second order are for opposite sides of a trade for the same financial instrument. 55. The method of claim 49, comprising:
receiving, by the electronic marketplace, an indication of one or more criteria to use for filtering orders for the trading firm; and before transmitting the request for acceptance, determining, by the electronic marketplace, that the second order meets the one or more criteria, in which transmitting the request for acceptance includes transmitting the request for acceptance in response to determining that the second order meets the one or more criteria. 56. The method of claim 55, comprising suppressing, by the electronic marketplace, evidence of the determination of whether the second order meets the one or more criteria. 57. The method of claim 55, in which the one or more criteria include a time-related criteria. 58. The method of claim 55, in which the one or more criteria include an industry-related criteria. 59. The method of claim 55, comprising suppressing, by the electronic marketplace, evidence of the one or more criteria. 60. The method of claim 49, comprising:
charging a fee to an originator of the second order for the execution of the trade, and providing at least a portion of the fee to the trading firm. 61. The method of claim 49, in which the originator of the second order is a sell-side participant and the trading firm is a buy-side participant. 62. The method of claim 49, in which the computer system is configured to receive a selection, by the trading firm, of the open orders from a larger set of open orders before sending the non-binding indications to the electronic marketplace, and in which sending the non-binding indications includes sending the non-binding indications in response to receiving the selection. 63. The method of claim 49, in which transmitting the request for acceptance includes transmitting the request for acceptance to the trading firm and a plurality of additional trading firms in an order based on a priority mechanism. 64. The method of claim 63, in which the priority mechanism identifies that requests should be sent to trading firms associated with larger orders before trading firms associated with smaller orders. 65. The method of claim 49, comprising: maintaining confidentiality of the trading firm and the open orders until after the execution. 66. The method of claim 49, comprising: in response to facilitating the execution, offering, by the electronic marketplace, an additional product related to the trade to the trading firm. 67. The method of claim 66, in which the additional product includes a hedging mechanism related to an underlying item traded through the trade. 68. The method of claim 67, in which offering the hedging mechanism includes transmitting a request for acceptance of a second trade fulfilling a third order received by the electronic marketplace. 69. The method of claim 67, in which offering the hedging mechanism includes offering a currency trade contract based on the currency in which the trade is valued. 70. The method of claim 49, comprising: determining that the trading firm is active before transmitting the request for acceptance, and in which transmitting the request for acceptance includes transmitting the request for acceptance in response to determining that the trading firm is active. 71. The method of claim 70, in which determining that the trading firm is active includes monitoring, by the electronic marketplace, a level of activity associated with the trading firm and determining that the trading firm is active based on the level of activity. 72. The method of claim 49, in which the second order includes a firm order, in which the firm order includes a binding order. 73. The method of claim 49, comprising:
charging, by the electronic marketplace, a fee to an originator of the second order for the execution of the trade; providing, by the electronic marketplace, at least a portion of the first fee to the trading firm; receiving a selection, by the trading firm, of the open orders from a larger set of open orders before generating the non-binding indications, in which generating the non-binding indications includes generating the non-binding indications in response to receiving the selection; in which transmitting the request for acceptance includes transmitting the request for acceptance to the trading firm and a plurality of additional trading firms in an order based on a priority mechanism; receiving, by the electronic marketplace, an indication of one or more criteria to use for filtering orders for the trading firm; suppressing, by the electronic marketplace, evidence of the criteria; before transmitting the request for acceptance, determining, by the electronic marketplace, that the second order meets the one or more criteria, in which transmitting the request for acceptance includes transmitting the request for acceptance in response to determining that the second order meets the one or more criteria, in which the one or more criteria includes a time-related criteria; in which the priority mechanism identifies that requests should be sent to trading firms associated with larger orders before trading firms associated with smaller orders; and in response to facilitating the execution, offering, by the electronic marketplace, an additional product related to the trade to the trading firm. 74. The method of claim 49, comprising:
receiving, by the at least one electronic marketplace from the computer system, updated non-binding indications reflecting changes to the open orders in the order management system. 75. The method of claim 49, in which the at least one first order is identified in the non-binding indication by security name, symbol or identifier; transaction type; and quantity. 76. An electronic marketplace comprising:
at least one computing device of the electronic marketplace; and at least one non-transitory medium having stored thereon a plurality of instructions that when executed, cause the at least one computing device to: receive, from a computer system configured to access an order management system of a trading firm, non-binding indication reflecting open orders in the order management system, in which the open orders include at least one first order; receive at least one second order; determine that the second order matches the at least one first order; in response to determining that the second order matches the at least one first order, transmit, to the trading firm, a request for acceptance of a trade fulfilling at least part of the first order and at least part of the second order; receive the acceptance by the trading firm; in response to receiving the acceptance, facilitate execution of the trade without a negotiation between the trading firm and an originator of the second order regarding the trade; and suppress evidence of the determination that the second order matches the at least one first order and the acceptance until after facilitating execution of the trade. | An electronic trading marketplace (ETM) communicates with interfacing modules interfacing directly with order management systems (OMS's) at trading institutions. The interfacing modules automatically transmit orders from the OMS databases to the ETM and update the OMS databases in response to orders executed at the ETM. Traders can communicate with the ETM to anonymously negotiate trades of securities.1-48. (canceled) 49. A method comprising:
receiving, by at least one electronic marketplace from a computer system configured to access an order management system of a trading firm, non-binding indication reflecting open orders in the order management system, in which the open orders include at least one first order; receiving, by the at least one electronic marketplace, at least one second order; determining, by the at least one electronic marketplace, that the second order matches the at least one first order; in response to determining that the second order matches the at least one first order, transmitting, from the electronic marketplace to the trading firm, a request for acceptance of a trade fulfilling at least part of the first order and at least part of the second order; receiving, by the electronic marketplace, the acceptance by the trading firm; in response to receiving the acceptance, facilitating execution of the trade, by the electronic marketplace, without a negotiation between the trading firm and an originator of the second order regarding the trade; and suppressing, by the electronic marketplace, evidence of the determination that the second order matches the at least one first order and the acceptance until after facilitating execution of the trade. 50. The method of claim 49, in which suppressing evidence of the determination and the acceptance includes at least one of: performing at least some actions as if the determination and the acceptance were not made, transmitting misleading information regarding the determination and the acceptance, and transmitting no information regarding the determination and the acceptance. 51. The method of claim 49, in which the first order includes an indication of a price range in which the trading firm agrees to execute the trade. 52. The method of claim 49, in which the execution of the trade includes an execution at a price determined by at least one of a midpoint pricing model and a volume weighted average pricing model. 53. The method of claim 49, in which the request for acceptance includes a request to which a response may be made for a limited amount of time, in which the trading firm may only accept the request during the limited amount of time. 54. The method of claim 49, in which the first order matches the second order if the first order and the second order are for opposite sides of a trade for the same financial instrument. 55. The method of claim 49, comprising:
receiving, by the electronic marketplace, an indication of one or more criteria to use for filtering orders for the trading firm; and before transmitting the request for acceptance, determining, by the electronic marketplace, that the second order meets the one or more criteria, in which transmitting the request for acceptance includes transmitting the request for acceptance in response to determining that the second order meets the one or more criteria. 56. The method of claim 55, comprising suppressing, by the electronic marketplace, evidence of the determination of whether the second order meets the one or more criteria. 57. The method of claim 55, in which the one or more criteria include a time-related criteria. 58. The method of claim 55, in which the one or more criteria include an industry-related criteria. 59. The method of claim 55, comprising suppressing, by the electronic marketplace, evidence of the one or more criteria. 60. The method of claim 49, comprising:
charging a fee to an originator of the second order for the execution of the trade, and providing at least a portion of the fee to the trading firm. 61. The method of claim 49, in which the originator of the second order is a sell-side participant and the trading firm is a buy-side participant. 62. The method of claim 49, in which the computer system is configured to receive a selection, by the trading firm, of the open orders from a larger set of open orders before sending the non-binding indications to the electronic marketplace, and in which sending the non-binding indications includes sending the non-binding indications in response to receiving the selection. 63. The method of claim 49, in which transmitting the request for acceptance includes transmitting the request for acceptance to the trading firm and a plurality of additional trading firms in an order based on a priority mechanism. 64. The method of claim 63, in which the priority mechanism identifies that requests should be sent to trading firms associated with larger orders before trading firms associated with smaller orders. 65. The method of claim 49, comprising: maintaining confidentiality of the trading firm and the open orders until after the execution. 66. The method of claim 49, comprising: in response to facilitating the execution, offering, by the electronic marketplace, an additional product related to the trade to the trading firm. 67. The method of claim 66, in which the additional product includes a hedging mechanism related to an underlying item traded through the trade. 68. The method of claim 67, in which offering the hedging mechanism includes transmitting a request for acceptance of a second trade fulfilling a third order received by the electronic marketplace. 69. The method of claim 67, in which offering the hedging mechanism includes offering a currency trade contract based on the currency in which the trade is valued. 70. The method of claim 49, comprising: determining that the trading firm is active before transmitting the request for acceptance, and in which transmitting the request for acceptance includes transmitting the request for acceptance in response to determining that the trading firm is active. 71. The method of claim 70, in which determining that the trading firm is active includes monitoring, by the electronic marketplace, a level of activity associated with the trading firm and determining that the trading firm is active based on the level of activity. 72. The method of claim 49, in which the second order includes a firm order, in which the firm order includes a binding order. 73. The method of claim 49, comprising:
charging, by the electronic marketplace, a fee to an originator of the second order for the execution of the trade; providing, by the electronic marketplace, at least a portion of the first fee to the trading firm; receiving a selection, by the trading firm, of the open orders from a larger set of open orders before generating the non-binding indications, in which generating the non-binding indications includes generating the non-binding indications in response to receiving the selection; in which transmitting the request for acceptance includes transmitting the request for acceptance to the trading firm and a plurality of additional trading firms in an order based on a priority mechanism; receiving, by the electronic marketplace, an indication of one or more criteria to use for filtering orders for the trading firm; suppressing, by the electronic marketplace, evidence of the criteria; before transmitting the request for acceptance, determining, by the electronic marketplace, that the second order meets the one or more criteria, in which transmitting the request for acceptance includes transmitting the request for acceptance in response to determining that the second order meets the one or more criteria, in which the one or more criteria includes a time-related criteria; in which the priority mechanism identifies that requests should be sent to trading firms associated with larger orders before trading firms associated with smaller orders; and in response to facilitating the execution, offering, by the electronic marketplace, an additional product related to the trade to the trading firm. 74. The method of claim 49, comprising:
receiving, by the at least one electronic marketplace from the computer system, updated non-binding indications reflecting changes to the open orders in the order management system. 75. The method of claim 49, in which the at least one first order is identified in the non-binding indication by security name, symbol or identifier; transaction type; and quantity. 76. An electronic marketplace comprising:
at least one computing device of the electronic marketplace; and at least one non-transitory medium having stored thereon a plurality of instructions that when executed, cause the at least one computing device to: receive, from a computer system configured to access an order management system of a trading firm, non-binding indication reflecting open orders in the order management system, in which the open orders include at least one first order; receive at least one second order; determine that the second order matches the at least one first order; in response to determining that the second order matches the at least one first order, transmit, to the trading firm, a request for acceptance of a trade fulfilling at least part of the first order and at least part of the second order; receive the acceptance by the trading firm; in response to receiving the acceptance, facilitate execution of the trade without a negotiation between the trading firm and an originator of the second order regarding the trade; and suppress evidence of the determination that the second order matches the at least one first order and the acceptance until after facilitating execution of the trade. | 3,600 |
13,635 | 13,635 | 15,219,564 | 3,684 | A system and method is provided for enabling a parts supplier to verify that a customer's part or part assembly requirements are satisfied and for creating a label for a shipping container in which the parts or part assemblies are shipped to the customer. The system also verifies that the label matches the parts and/or part assemblies that have been loaded into the shipping container. | 1. A system for verifying that a customer's part or assembly requirements are satisfied and for creating a label for a shipping container in which parts or assemblies are shipped to the customer, the system also capable of verifying that the label matches the parts and/or assemblies that have been loaded into the shipping container, the system comprising:
a customer database for storing the customer's part or assembly requirements; a user database for storing part and assembly information, including the components required for the assembly; a server computer in communication with the customer database and the user database; a user computer in communication with the server computer; a touchscreen monitor in communication with the user computer for receiving touchscreen input from an operator, the touchscreen input including the operator's identity; one or more infrared (IR) vision sensors and/or laser sensors for identifying a part or assembly to be loaded into the container and to verify that the part or assembly is correct; a software program run locally or remotely for verifying that the customer's part or assembly requirements are satisfied and for creating the shipping container label; and a printer for printing the label in response to input received from the user computer. 2. The system of claim 1 wherein:
the user computer, touchscreen monitor, one or more infrared (IR) vision sensors and/or laser sensors, and printer are carried on a moveable instrument cart. 3. The system of claim 1 wherein:
the one or more infrared (IR) vision sensors and/or laser sensors are mountable to a moveable and retractable arm extending above the cart and configured to extend over a part or assembly moving along a conveyor line. 4. A method for verifying that a customer's part or assembly requirements are satisfied and for creating a label for a shipping container in which parts or assemblies are shipped to the customer, the system also capable of verifying that the label matches the parts and/or assemblies that have been loaded into the shipping container, the method comprising the steps of:
Step 100: Initiating an on demand labelling system by an operator using a touchscreen to input to a user computer an operator code.
Step 102: Requesting work instructions (WI) by using the touchscreen;
Step 104: Generating on the touch screen a bill of materials (BOM), the BOM comprising the identity and number of parts required for each assembly;
Step 106: Uploading a sensor application program;
Step 108: Conducting a system check to confirm that the system is ready for use;
Step 110: Scanning a part or assembly using the one or more scanners and transmitting the scanned information to the user computer;
Step 112: Verifying that the part or assembly matches the BOM, counting the part or assembly and transmitting the part or assembly data to a server;
Step 114: Packing the scanned part or assembly into a shipping container;
Step 116: Repeating steps 110 through 114 until the full container count is verified;
Step 118: Generating a label printing request and transmitting that request to a printer in communication with the user computer; and
Step 120: Generating a label and applying it to the shipping container. | A system and method is provided for enabling a parts supplier to verify that a customer's part or part assembly requirements are satisfied and for creating a label for a shipping container in which the parts or part assemblies are shipped to the customer. The system also verifies that the label matches the parts and/or part assemblies that have been loaded into the shipping container.1. A system for verifying that a customer's part or assembly requirements are satisfied and for creating a label for a shipping container in which parts or assemblies are shipped to the customer, the system also capable of verifying that the label matches the parts and/or assemblies that have been loaded into the shipping container, the system comprising:
a customer database for storing the customer's part or assembly requirements; a user database for storing part and assembly information, including the components required for the assembly; a server computer in communication with the customer database and the user database; a user computer in communication with the server computer; a touchscreen monitor in communication with the user computer for receiving touchscreen input from an operator, the touchscreen input including the operator's identity; one or more infrared (IR) vision sensors and/or laser sensors for identifying a part or assembly to be loaded into the container and to verify that the part or assembly is correct; a software program run locally or remotely for verifying that the customer's part or assembly requirements are satisfied and for creating the shipping container label; and a printer for printing the label in response to input received from the user computer. 2. The system of claim 1 wherein:
the user computer, touchscreen monitor, one or more infrared (IR) vision sensors and/or laser sensors, and printer are carried on a moveable instrument cart. 3. The system of claim 1 wherein:
the one or more infrared (IR) vision sensors and/or laser sensors are mountable to a moveable and retractable arm extending above the cart and configured to extend over a part or assembly moving along a conveyor line. 4. A method for verifying that a customer's part or assembly requirements are satisfied and for creating a label for a shipping container in which parts or assemblies are shipped to the customer, the system also capable of verifying that the label matches the parts and/or assemblies that have been loaded into the shipping container, the method comprising the steps of:
Step 100: Initiating an on demand labelling system by an operator using a touchscreen to input to a user computer an operator code.
Step 102: Requesting work instructions (WI) by using the touchscreen;
Step 104: Generating on the touch screen a bill of materials (BOM), the BOM comprising the identity and number of parts required for each assembly;
Step 106: Uploading a sensor application program;
Step 108: Conducting a system check to confirm that the system is ready for use;
Step 110: Scanning a part or assembly using the one or more scanners and transmitting the scanned information to the user computer;
Step 112: Verifying that the part or assembly matches the BOM, counting the part or assembly and transmitting the part or assembly data to a server;
Step 114: Packing the scanned part or assembly into a shipping container;
Step 116: Repeating steps 110 through 114 until the full container count is verified;
Step 118: Generating a label printing request and transmitting that request to a printer in communication with the user computer; and
Step 120: Generating a label and applying it to the shipping container. | 3,600 |
13,636 | 13,636 | 15,423,459 | 3,633 | A stair tread and method of building a stairway is provided. Each stair tread includes a metal pan having one or more walls forming a cavity. Concrete filler is disposed in the cavity to provide an upper walking surface. Reinforcement bars and foam blocks can be positioned within the cavity. Concrete treads including the pan can then be transported to a job site for attachment between a pair of stringers. | 1. A stair tread comprising:
a metal pan including a bottom wall, first and second sidewalls, a front wall, and a rear wall, said walls forming a cavity; one or more foam inserts positioned within the metal pan's cavity; a concrete filler positioned within said metal pan which encapsulates said one or more foam inserts, said concrete filler having a top surface which is substantially planar to form an upper walking surface. 2. The stair tread of claim 1 wherein said metal pan is made of sheet metal. 3. The stair tread of claim 1 wherein each of said plurality of stair treads includes one or more reinforcing members disposed within said cavity. 4. The stair tread of claim 1 further comprising a pair of pan brackets, wherein each pan bracket is affixed adjacent to a metal pan sidewall and each of said pan brackets includes a flange that projects vertically downward. 5. The stair tread of claim 4 wherein each pan bracket flange includes a flexible tab which projects from said flange. 6. A stairway assembly comprising:
a plurality of stair treads, each of said plurality of stair treads having a metal pan including a bottom wall, first and second sidewalls, a front wall, and a rear wall with said walls forming a cavity, each of said stair treads further having one or more foam inserts and a concreter filler positioned within said metal pan's cavity, and wherein said concrete filler encapsulates said one or more foam inserts and has a top surface which is substantially planar to form an upper walking surface; and first and a second inclined stringers positioned parallel to one another; each of said plurality of stair treads is affixed to said first and second stringers to form a stair with said plurality of stair treads forming a stairway. 7. The stairway assembly of claim 6 wherein said first and second stringers engage and affix to each of said stair tread's metal pan's first and second sidewalls. 8. The stairway assembly of claim 6 wherein each of said plurality of stair treads includes one or more reinforcing members disposed within said cavity, said reinforcing members being encapsulated by said concrete filler. 9. The stairway assembly of claim 6 further comprising:
a first pan bracket having a first flange, said first pan bracket affixed to said first sidewall;
a second pan bracket having a second flange, said second pan bracket affixed to said second sidewall; and
a first stringer bracket having a first slot and a second stringer bracket having a second slot, said first stringer bracket being affixed adjacent to said first stringer with said first slot receiving said first flange, said second stringer bracket being affixed adjacent to said second stringer with said second slot receiving said second flange. 10. The stairway assembly of claim 9 wherein said first pan bracket includes a first flexible tab which projects from said first flange, said second pan bracket includes a second flexible tab which projects from said second flange, said first stringer bracket includes an opening configured to receive said first flexible tab, and said second stringer bracket includes an opening configured to receive said second flexible tab. | A stair tread and method of building a stairway is provided. Each stair tread includes a metal pan having one or more walls forming a cavity. Concrete filler is disposed in the cavity to provide an upper walking surface. Reinforcement bars and foam blocks can be positioned within the cavity. Concrete treads including the pan can then be transported to a job site for attachment between a pair of stringers.1. A stair tread comprising:
a metal pan including a bottom wall, first and second sidewalls, a front wall, and a rear wall, said walls forming a cavity; one or more foam inserts positioned within the metal pan's cavity; a concrete filler positioned within said metal pan which encapsulates said one or more foam inserts, said concrete filler having a top surface which is substantially planar to form an upper walking surface. 2. The stair tread of claim 1 wherein said metal pan is made of sheet metal. 3. The stair tread of claim 1 wherein each of said plurality of stair treads includes one or more reinforcing members disposed within said cavity. 4. The stair tread of claim 1 further comprising a pair of pan brackets, wherein each pan bracket is affixed adjacent to a metal pan sidewall and each of said pan brackets includes a flange that projects vertically downward. 5. The stair tread of claim 4 wherein each pan bracket flange includes a flexible tab which projects from said flange. 6. A stairway assembly comprising:
a plurality of stair treads, each of said plurality of stair treads having a metal pan including a bottom wall, first and second sidewalls, a front wall, and a rear wall with said walls forming a cavity, each of said stair treads further having one or more foam inserts and a concreter filler positioned within said metal pan's cavity, and wherein said concrete filler encapsulates said one or more foam inserts and has a top surface which is substantially planar to form an upper walking surface; and first and a second inclined stringers positioned parallel to one another; each of said plurality of stair treads is affixed to said first and second stringers to form a stair with said plurality of stair treads forming a stairway. 7. The stairway assembly of claim 6 wherein said first and second stringers engage and affix to each of said stair tread's metal pan's first and second sidewalls. 8. The stairway assembly of claim 6 wherein each of said plurality of stair treads includes one or more reinforcing members disposed within said cavity, said reinforcing members being encapsulated by said concrete filler. 9. The stairway assembly of claim 6 further comprising:
a first pan bracket having a first flange, said first pan bracket affixed to said first sidewall;
a second pan bracket having a second flange, said second pan bracket affixed to said second sidewall; and
a first stringer bracket having a first slot and a second stringer bracket having a second slot, said first stringer bracket being affixed adjacent to said first stringer with said first slot receiving said first flange, said second stringer bracket being affixed adjacent to said second stringer with said second slot receiving said second flange. 10. The stairway assembly of claim 9 wherein said first pan bracket includes a first flexible tab which projects from said first flange, said second pan bracket includes a second flexible tab which projects from said second flange, said first stringer bracket includes an opening configured to receive said first flexible tab, and said second stringer bracket includes an opening configured to receive said second flexible tab. | 3,600 |
13,637 | 13,637 | 12,928,710 | 3,697 | A secure payment system between a customer and a merchant uses a wireless device of the customer that receives a partial payment authorization, record from a sales terminal of the merchant to include at least a merchant terminal identification and a payment amount to facilitate payment transaction via a customer portable wireless device from the customer to the merchant. The device has a receive sensor to receive the partial transaction record from the sales terminal and a function that activates a payment transaction function in the device. The payment function, on being activated, creates an encrypted payment data record including at least the merchant terminal identification, the payment amount, a personal code and the device identification code and transfers it over the global network to a central system. The device and the sales terminal receive from the central system a notification of the payment approval record. | 1. A secure payment system between a customer and a merchant, comprising:
a wireless device of the customer that receives a partial payment authorization transaction record from a sales terminal of the merchant to include at least a merchant terminal identification and a payment amount to facilitate payment transaction via a customer portable wireless device from the customer to the merchant. 2. The system as in claim 1, comprising:
the device has a receive sensor to receive the partial transaction record from the sales terminal either via a short rf or optical infrared. 3. The system as in claim 1, comprising:
the device has a function that enables activating a payment transaction function in the device to receive a partial payment authorization record from the sales terminal of a merchant. 4. The system as in claim 3, comprising:
the device function requires entry of a personal code of the customer and transmits the partial transaction record to include, at least the merchant terminal identification, and a payment amount to a third party payment system that pre-stores customer bankcard data. 5. The system as in claim 1, comprising:
the device receives the partial transaction record that is specific to a sales transaction of the customer at the sales terminal of the merchant. 6. The system as in claim 1, comprising:
the device has entry means for the customer for manually entering the merchant identification and the payment amount in the wireless device using the keypad and the screen. 7. The system as in claim 1, comprising:
the device has an identification code, which uniquely identifies the device to the central system. 8. The system as in claim 1, comprising:
the device 12 has a payment function, activated by a menu item “payment”, a keypad key combination such as an arrow key followed by a numeric key, or a special key for payment. 9. The system as in claim 8, comprising:
the payment function, on being activated, creates an encrypted payment data record including at least the merchant terminal identification, the payment amount, a personal code and the device identification code and transfers it over the global network to the central system. 10. The system as in claim 1, comprising:
the device receives from the central system a notification of the payment approval record. 11. A method of secure payment between a customer and a merchant, comprising the step of:
receiving by a wireless device of the customer a partial payment authorization record from a sales terminal of the merchant to include at least a merchant terminal identification and a payment amount to facilitate payment transaction via a customer portable wireless device from the customer to the merchant. 12. The method as in claim 11, comprising the step of:
having by the device has a function that enables activating a payment transaction function in the device to receive a partial payment authorization record from the sales terminal of a merchant. 13. The method as in claim 11, comprising the step of:
requiring by the device function entry of a personal code of the customer and transmitting the partial transaction record to include, at least the merchant terminal identification, and a payment amount to a third party payment system that pre-stores customer bankcard data. 14. The method as in claim 11, comprising the step of:
having a receive sensor in the device to receive the partial transaction record from the sales terminal either via a short rf or optical infrared. 15. The method as in claim 11, comprising the step of:
the receiving by the device is specific to a sales transaction of the customer at the sales terminal 16. The method as in claim 11, comprising the step of:
having entry means in the device for the customer for manually entering the merchant identification and the payment amount in the wireless device using the keypad and the screen. 17. The method as in claim 11, comprising the step of:
identifying the device with an identification code, which uniquely identifies the device to the central system. 18. The method as in claim 11, comprising the step of:
having by the device a payment function, activated by a menu item “payment”, a keypad key combination such as an arrow key followed by a numeric key, or a special key for payment. 19. The method as in claim 11, comprising the step of:
activating the payment function, creates an encrypted payment data record including at least the merchant terminal identification, the payment amount, a personal code and the device identification code and transfers it over the global network to the central system 10. 20. The method as in claim 11, comprising the step of:
receiving by the device from the central system a notification of the payment approval record. | A secure payment system between a customer and a merchant uses a wireless device of the customer that receives a partial payment authorization, record from a sales terminal of the merchant to include at least a merchant terminal identification and a payment amount to facilitate payment transaction via a customer portable wireless device from the customer to the merchant. The device has a receive sensor to receive the partial transaction record from the sales terminal and a function that activates a payment transaction function in the device. The payment function, on being activated, creates an encrypted payment data record including at least the merchant terminal identification, the payment amount, a personal code and the device identification code and transfers it over the global network to a central system. The device and the sales terminal receive from the central system a notification of the payment approval record.1. A secure payment system between a customer and a merchant, comprising:
a wireless device of the customer that receives a partial payment authorization transaction record from a sales terminal of the merchant to include at least a merchant terminal identification and a payment amount to facilitate payment transaction via a customer portable wireless device from the customer to the merchant. 2. The system as in claim 1, comprising:
the device has a receive sensor to receive the partial transaction record from the sales terminal either via a short rf or optical infrared. 3. The system as in claim 1, comprising:
the device has a function that enables activating a payment transaction function in the device to receive a partial payment authorization record from the sales terminal of a merchant. 4. The system as in claim 3, comprising:
the device function requires entry of a personal code of the customer and transmits the partial transaction record to include, at least the merchant terminal identification, and a payment amount to a third party payment system that pre-stores customer bankcard data. 5. The system as in claim 1, comprising:
the device receives the partial transaction record that is specific to a sales transaction of the customer at the sales terminal of the merchant. 6. The system as in claim 1, comprising:
the device has entry means for the customer for manually entering the merchant identification and the payment amount in the wireless device using the keypad and the screen. 7. The system as in claim 1, comprising:
the device has an identification code, which uniquely identifies the device to the central system. 8. The system as in claim 1, comprising:
the device 12 has a payment function, activated by a menu item “payment”, a keypad key combination such as an arrow key followed by a numeric key, or a special key for payment. 9. The system as in claim 8, comprising:
the payment function, on being activated, creates an encrypted payment data record including at least the merchant terminal identification, the payment amount, a personal code and the device identification code and transfers it over the global network to the central system. 10. The system as in claim 1, comprising:
the device receives from the central system a notification of the payment approval record. 11. A method of secure payment between a customer and a merchant, comprising the step of:
receiving by a wireless device of the customer a partial payment authorization record from a sales terminal of the merchant to include at least a merchant terminal identification and a payment amount to facilitate payment transaction via a customer portable wireless device from the customer to the merchant. 12. The method as in claim 11, comprising the step of:
having by the device has a function that enables activating a payment transaction function in the device to receive a partial payment authorization record from the sales terminal of a merchant. 13. The method as in claim 11, comprising the step of:
requiring by the device function entry of a personal code of the customer and transmitting the partial transaction record to include, at least the merchant terminal identification, and a payment amount to a third party payment system that pre-stores customer bankcard data. 14. The method as in claim 11, comprising the step of:
having a receive sensor in the device to receive the partial transaction record from the sales terminal either via a short rf or optical infrared. 15. The method as in claim 11, comprising the step of:
the receiving by the device is specific to a sales transaction of the customer at the sales terminal 16. The method as in claim 11, comprising the step of:
having entry means in the device for the customer for manually entering the merchant identification and the payment amount in the wireless device using the keypad and the screen. 17. The method as in claim 11, comprising the step of:
identifying the device with an identification code, which uniquely identifies the device to the central system. 18. The method as in claim 11, comprising the step of:
having by the device a payment function, activated by a menu item “payment”, a keypad key combination such as an arrow key followed by a numeric key, or a special key for payment. 19. The method as in claim 11, comprising the step of:
activating the payment function, creates an encrypted payment data record including at least the merchant terminal identification, the payment amount, a personal code and the device identification code and transfers it over the global network to the central system 10. 20. The method as in claim 11, comprising the step of:
receiving by the device from the central system a notification of the payment approval record. | 3,600 |
13,638 | 13,638 | 15,641,948 | 3,662 | A computer-implemented remote starting method includes instructing the remote start of a vehicle using a wireless device. The method also includes inputting, to the wireless device, a desired vehicle interior temperature. The method further includes sending a remote start instruction to a vehicle from the wireless device, including at least the desired temperature and monitoring a current temperature of the vehicle. The method additionally includes outputting, on the wireless device, the current vehicle temperature. | 1. A system comprising:
a mobile-device processor configured to: connect to a vehicle computing system responsive to a dashboard application launch; retrieve user-controllable function information, identifying vehicle functions remotely controllable from a mobile device, from the vehicle computing system; add controls for the vehicle functions to a user-HMI, or enable controls already part of the user-HMI, responsive to retrieving the vehicle functions; and present the user HMI on the mobile device. 2. The system of claim 1, wherein the processor is further configured to add an updates section to the HMI, including information retrieved from the vehicle computing system relating to recalls or maintenance reminders. 3. The system of claim 1, wherein the vehicle functions include a lock/unlock function. 4. The system of claim 1, wherein the vehicle functions include a remote start function. 5. The system of claim 1, wherein the vehicle functions include an alarm activation function. 6. A system comprising:
a vehicle-based processor configured to: receive a data-tracking instruction from a mobile phone application, the instruction identifying a data type for tracking and a recipient for data; record data corresponding to the data type, responsive to a start-tracking instruction from the mobile phone application; and transmit the recorded data to the recipient. 7. The system of claim 6, wherein the data type includes vehicle camera data. 8. The system of claim 6, wherein the data type includes fuel usage data. 9. The system of claim 6, wherein the recipient includes local storage on the vehicle. 10. The system of claim 6, wherein the recipient includes a mobile phone executing the phone application. 11. The system of claim 6, wherein the recipient includes an email recipient. 12. The system of claim 6, wherein the data-tracking instruction further includes transmission timing instructions. 13. The system of claim 12, wherein the transmission timing instructions further include instructions to transmit the recorded data at an end of a journey. 14. The system of claim 12, wherein the transmission timing instructions further include instructions to transmit the recorded data at periodic time intervals. 15. The system of claim 12, wherein the transmission timing instructions further include instructions to transmit the recorded data at periodic distance intervals. 16. The system of claim 12, wherein the processor is further configured to transmit the recorded data to the recipient in accordance with the transmission timing instructions. 17. A system comprising:
a mobile-device processor configured to: determine that a user has an appointment within a predetermined time period from a current time; determine a route from a current vehicle location to an appointment location; determine travel-impacting variable affect on travel over the route, resulting in a projected travel time; and recommend a departure time sufficient to reach the appointment location before an appointment time based on the projected travel time. 18. The system of claim 17, wherein the travel-impacting variables include traffic. 19. The system of claim 17, wherein the travel-impacting variables include weather. 20. The system of claim 17, wherein the projected travel time includes projected travel time from a current user location to the current vehicle location and wherein the departure time indicates a time at which the user should depart for the vehicle. | A computer-implemented remote starting method includes instructing the remote start of a vehicle using a wireless device. The method also includes inputting, to the wireless device, a desired vehicle interior temperature. The method further includes sending a remote start instruction to a vehicle from the wireless device, including at least the desired temperature and monitoring a current temperature of the vehicle. The method additionally includes outputting, on the wireless device, the current vehicle temperature.1. A system comprising:
a mobile-device processor configured to: connect to a vehicle computing system responsive to a dashboard application launch; retrieve user-controllable function information, identifying vehicle functions remotely controllable from a mobile device, from the vehicle computing system; add controls for the vehicle functions to a user-HMI, or enable controls already part of the user-HMI, responsive to retrieving the vehicle functions; and present the user HMI on the mobile device. 2. The system of claim 1, wherein the processor is further configured to add an updates section to the HMI, including information retrieved from the vehicle computing system relating to recalls or maintenance reminders. 3. The system of claim 1, wherein the vehicle functions include a lock/unlock function. 4. The system of claim 1, wherein the vehicle functions include a remote start function. 5. The system of claim 1, wherein the vehicle functions include an alarm activation function. 6. A system comprising:
a vehicle-based processor configured to: receive a data-tracking instruction from a mobile phone application, the instruction identifying a data type for tracking and a recipient for data; record data corresponding to the data type, responsive to a start-tracking instruction from the mobile phone application; and transmit the recorded data to the recipient. 7. The system of claim 6, wherein the data type includes vehicle camera data. 8. The system of claim 6, wherein the data type includes fuel usage data. 9. The system of claim 6, wherein the recipient includes local storage on the vehicle. 10. The system of claim 6, wherein the recipient includes a mobile phone executing the phone application. 11. The system of claim 6, wherein the recipient includes an email recipient. 12. The system of claim 6, wherein the data-tracking instruction further includes transmission timing instructions. 13. The system of claim 12, wherein the transmission timing instructions further include instructions to transmit the recorded data at an end of a journey. 14. The system of claim 12, wherein the transmission timing instructions further include instructions to transmit the recorded data at periodic time intervals. 15. The system of claim 12, wherein the transmission timing instructions further include instructions to transmit the recorded data at periodic distance intervals. 16. The system of claim 12, wherein the processor is further configured to transmit the recorded data to the recipient in accordance with the transmission timing instructions. 17. A system comprising:
a mobile-device processor configured to: determine that a user has an appointment within a predetermined time period from a current time; determine a route from a current vehicle location to an appointment location; determine travel-impacting variable affect on travel over the route, resulting in a projected travel time; and recommend a departure time sufficient to reach the appointment location before an appointment time based on the projected travel time. 18. The system of claim 17, wherein the travel-impacting variables include traffic. 19. The system of claim 17, wherein the travel-impacting variables include weather. 20. The system of claim 17, wherein the projected travel time includes projected travel time from a current user location to the current vehicle location and wherein the departure time indicates a time at which the user should depart for the vehicle. | 3,600 |
13,639 | 13,639 | 14,291,796 | 3,683 | A method and system for ranking agents is provided. The method includes retrieving historical assignment data describing past associations with agents and associated tickets. Groups of tickets are identified and historical attributes are extracted. Skills are associated with the agents and new attributes are associated with a new group of tickets. An absolute score for each agent with respect to a new group of tickets is generated and in response, an ordered list of the new group of tickets is generated. | 1. A method comprising:
retrieving, by a computer processor of a computing system, historical assignment data describing past associations with agents and associated tickets; identifying, by said computer processor, groups of tickets of said associated tickets, each group of said tickets associated with a different agent of said agents; extracting, by said computer processor, historical attributes from each said group of said tickets; associating, by said computer processor based on said groups of tickets and said historical attributes, a group of skills to each said different agent; identifying, by said computer processor, new attributes associated with a new group of tickets; generating, by said computer processor based on said historical attributes, each said group of skills, and said new attributes, an absolute score for each said different agent with respect to said new group of tickets; and generating, by said computer processor based on each said absolute score, an ordered list of said new group of tickets for each said different agent, wherein each said ordered list comprises a different order of said new group of tickets for each said different agent. 2. The method of claim 1, wherein said historical attributes and said new attributes comprise structured attributes and unstructured attributes. 3. The method of claim 1, wherein said historical attributes and said new attributes comprise attributes associated with a customer affinity. 4. The method of claim 1, further comprising:
executing, by said computer processor, a text analytics process with respect to said historical assignment data determine each said group of skills. 5. The method of claim 1, wherein said historical assignment data is associated with a specified historical time period, and wherein said extracting said historical attributes from each said group of said tickets comprises:
generating a model for associating agent skills from each said group of skills. 6. The method of claim 1, wherein each said absolute score is generated based on a history of resolved tickets of said associated tickets. 7. The method of claim 1, wherein said generating said ordered list comprises:
identifying a number of displays required at a given position for each ticket of said new group of tickets at a specified position in a queue; and identifying if each said ticket will be displayed at each said given position. 8. The method of claim 7, further comprising:
determining based on said number of displays and each said absolute score for each said different agent, a position for each said ticket in each associated display for each of said different agent such that a ticket associated with an agent associated with an optimal score is presented on a display at a first display position. 9. The method of claim 1, further comprising:
providing at least one support service for at least one of creating, integrating, hosting, maintaining, and deploying computer-readable code in the computing system, said code being executed by the computer processor to implement: said retrieving, said identifying, said extracting, said associating, said identifying, said generating each said group of skills, and said generating said ordered list. 10. A computing system comprising a computer processor coupled to a computer-readable memory unit, said memory unit comprising instructions that when executed by the computer processor implements a method comprising:
retrieving, by said computer processor, historical assignment data describing past associations with agents and associated tickets; identifying, by said computer processor, groups of tickets of said associated tickets, each group of said tickets associated with a different agent of said agents; extracting, by said computer processor, historical attributes from each said group of said tickets; associating, by said computer processor based on said groups of tickets and said historical attributes, a group of skills to each said different agent; identifying, by said computer processor, new attributes associated with a new group of tickets; generating, by said computer processor based on said historical attributes, each said group of skills, and said new attributes, an absolute score for each said different agent with respect to said new group of tickets; and generating, by said computer processor based on each said absolute score, an ordered list of said new group of tickets for each said different agent, wherein each said ordered list comprises a different order of said new group of tickets for each said different agent. 11. The computing system of claim 10, wherein said historical attributes and said new attributes comprise structured attributes and unstructured attributes. 12. The computing system of claim 10, wherein said historical attributes and said new attributes comprise attributes associated with a customer affinity. 13. The computing system of claim 10, wherein said method further comprises:
executing, by said computer processor, a text analytics process with respect to said historical assignment data determine each said group of skills. 14. The computing system of claim 10, wherein said historical assignment data is associated with a specified historical time period, and wherein said extracting said historical attributes from each said group of said tickets comprises:
generating a model for associating agent skills from each said group of skills. 15. The computing system of claim 10, wherein each said absolute score is generated based on a history of resolved tickets of said associated tickets. 16. The computing system of claim 10, wherein said generating said ordered list comprises:
identifying a number of displays required at a given position for each ticket of said new group of tickets at a specified position in a queue; and identifying if each said ticket will be displayed at each said given position. 17. The computing system of claim 16, wherein said method further comprises:
determining based on said number of displays and each said absolute score for each said different agent, a position for each said ticket in each associated display for each of said different agent such that a ticket associated with an agent associated with an optimal score is presented on a display at a first display position. 18. A computer program product, comprising a computer readable hardware storage device storing a computer readable program code, said computer readable program code comprising an algorithm that when executed by a computer processor of a computing system implements a method, said method comprising:
retrieving, by said computer processor, historical assignment data describing past associations with agents and associated tickets; identifying, by said computer processor, groups of tickets of said associated tickets, each group of said tickets associated with a different agent of said agents; extracting, by said computer processor, historical attributes from each said group of said tickets; associating, by said computer processor based on said groups of tickets and said historical attributes, a group of skills to each said different agent; identifying, by said computer processor, new attributes associated with a new group of tickets; generating, by said computer processor based on said historical attributes, each said group of skills, and said new attributes, an absolute score for each said different agent with respect to said new group of tickets; and generating, by said computer processor based on each said absolute score, an ordered list of said new group of tickets for each said different agent, wherein each said ordered list comprises a different order of said new group of tickets for each said different agent. 19. The computer program product of claim 18, wherein said historical attributes and said new attributes comprise structured attributes and unstructured attributes. 20. The computer program product of claim 18, wherein said historical attributes and said new attributes comprise attributes associated with a customer affinity. | A method and system for ranking agents is provided. The method includes retrieving historical assignment data describing past associations with agents and associated tickets. Groups of tickets are identified and historical attributes are extracted. Skills are associated with the agents and new attributes are associated with a new group of tickets. An absolute score for each agent with respect to a new group of tickets is generated and in response, an ordered list of the new group of tickets is generated.1. A method comprising:
retrieving, by a computer processor of a computing system, historical assignment data describing past associations with agents and associated tickets; identifying, by said computer processor, groups of tickets of said associated tickets, each group of said tickets associated with a different agent of said agents; extracting, by said computer processor, historical attributes from each said group of said tickets; associating, by said computer processor based on said groups of tickets and said historical attributes, a group of skills to each said different agent; identifying, by said computer processor, new attributes associated with a new group of tickets; generating, by said computer processor based on said historical attributes, each said group of skills, and said new attributes, an absolute score for each said different agent with respect to said new group of tickets; and generating, by said computer processor based on each said absolute score, an ordered list of said new group of tickets for each said different agent, wherein each said ordered list comprises a different order of said new group of tickets for each said different agent. 2. The method of claim 1, wherein said historical attributes and said new attributes comprise structured attributes and unstructured attributes. 3. The method of claim 1, wherein said historical attributes and said new attributes comprise attributes associated with a customer affinity. 4. The method of claim 1, further comprising:
executing, by said computer processor, a text analytics process with respect to said historical assignment data determine each said group of skills. 5. The method of claim 1, wherein said historical assignment data is associated with a specified historical time period, and wherein said extracting said historical attributes from each said group of said tickets comprises:
generating a model for associating agent skills from each said group of skills. 6. The method of claim 1, wherein each said absolute score is generated based on a history of resolved tickets of said associated tickets. 7. The method of claim 1, wherein said generating said ordered list comprises:
identifying a number of displays required at a given position for each ticket of said new group of tickets at a specified position in a queue; and identifying if each said ticket will be displayed at each said given position. 8. The method of claim 7, further comprising:
determining based on said number of displays and each said absolute score for each said different agent, a position for each said ticket in each associated display for each of said different agent such that a ticket associated with an agent associated with an optimal score is presented on a display at a first display position. 9. The method of claim 1, further comprising:
providing at least one support service for at least one of creating, integrating, hosting, maintaining, and deploying computer-readable code in the computing system, said code being executed by the computer processor to implement: said retrieving, said identifying, said extracting, said associating, said identifying, said generating each said group of skills, and said generating said ordered list. 10. A computing system comprising a computer processor coupled to a computer-readable memory unit, said memory unit comprising instructions that when executed by the computer processor implements a method comprising:
retrieving, by said computer processor, historical assignment data describing past associations with agents and associated tickets; identifying, by said computer processor, groups of tickets of said associated tickets, each group of said tickets associated with a different agent of said agents; extracting, by said computer processor, historical attributes from each said group of said tickets; associating, by said computer processor based on said groups of tickets and said historical attributes, a group of skills to each said different agent; identifying, by said computer processor, new attributes associated with a new group of tickets; generating, by said computer processor based on said historical attributes, each said group of skills, and said new attributes, an absolute score for each said different agent with respect to said new group of tickets; and generating, by said computer processor based on each said absolute score, an ordered list of said new group of tickets for each said different agent, wherein each said ordered list comprises a different order of said new group of tickets for each said different agent. 11. The computing system of claim 10, wherein said historical attributes and said new attributes comprise structured attributes and unstructured attributes. 12. The computing system of claim 10, wherein said historical attributes and said new attributes comprise attributes associated with a customer affinity. 13. The computing system of claim 10, wherein said method further comprises:
executing, by said computer processor, a text analytics process with respect to said historical assignment data determine each said group of skills. 14. The computing system of claim 10, wherein said historical assignment data is associated with a specified historical time period, and wherein said extracting said historical attributes from each said group of said tickets comprises:
generating a model for associating agent skills from each said group of skills. 15. The computing system of claim 10, wherein each said absolute score is generated based on a history of resolved tickets of said associated tickets. 16. The computing system of claim 10, wherein said generating said ordered list comprises:
identifying a number of displays required at a given position for each ticket of said new group of tickets at a specified position in a queue; and identifying if each said ticket will be displayed at each said given position. 17. The computing system of claim 16, wherein said method further comprises:
determining based on said number of displays and each said absolute score for each said different agent, a position for each said ticket in each associated display for each of said different agent such that a ticket associated with an agent associated with an optimal score is presented on a display at a first display position. 18. A computer program product, comprising a computer readable hardware storage device storing a computer readable program code, said computer readable program code comprising an algorithm that when executed by a computer processor of a computing system implements a method, said method comprising:
retrieving, by said computer processor, historical assignment data describing past associations with agents and associated tickets; identifying, by said computer processor, groups of tickets of said associated tickets, each group of said tickets associated with a different agent of said agents; extracting, by said computer processor, historical attributes from each said group of said tickets; associating, by said computer processor based on said groups of tickets and said historical attributes, a group of skills to each said different agent; identifying, by said computer processor, new attributes associated with a new group of tickets; generating, by said computer processor based on said historical attributes, each said group of skills, and said new attributes, an absolute score for each said different agent with respect to said new group of tickets; and generating, by said computer processor based on each said absolute score, an ordered list of said new group of tickets for each said different agent, wherein each said ordered list comprises a different order of said new group of tickets for each said different agent. 19. The computer program product of claim 18, wherein said historical attributes and said new attributes comprise structured attributes and unstructured attributes. 20. The computer program product of claim 18, wherein said historical attributes and said new attributes comprise attributes associated with a customer affinity. | 3,600 |
13,640 | 13,640 | 14,209,052 | 3,647 | Apparatus and methods described herein provide for a structural armor configured to provide load-bearing capabilities to a structure, as well as to provide protection from hypervelocity impacts. According to one aspect of the disclosure provided herein, the structural armor may include two armor facesheets, with an angular member core disposed between. The angular member core may include a number of nodes abutting the armor facesheets, with angular members intersecting at the nodes at acute node angles from the armor facesheets and extending between the armor facesheets. The acute node angles correspond with estimated spread angles of a debris field resulting from an impact of an object with an armor facesheet while moving at hypervelocity speed. | 1. A structural armor for a space structure, the armor comprising:
a front armor facesheet; a rear armor facesheet offset from the front armor facesheet; and an angular member core having a plurality of nodes, each node abutting the front armor facesheet or the rear armor facesheet and providing a junction for a plurality of angular members intersecting at an acute node angle from the front armor facesheet or rear armor facesheet, the acute node angle selected according to a spread angle of a debris field resulting from a hypervelocity impact of an object with the front armor facesheet, wherein the front armor facesheet, the rear armor facesheet, and the angular member core are configured to provide load-bearing capability for the space structure. 2. The structural armor of claim 1, wherein the plurality of nodes comprises a plurality of front nodes, each front node abutting the front armor facesheet, and a plurality of rear nodes, each rear node abutting the rear armor facesheet. 3. The structural armor of claim 2, wherein each angular member connects a front node to a rear node. 4. The structural armor of claim 3, wherein the spread angle comprises an angle between approximately 55 to 65 degrees. 5. The structural armor of claim 4, wherein the acute node angle comprises 60 degrees. 6. The structural armor of claim 3, wherein the plurality of angular members comprises four angular members. 7. The structural armor of claim 3, wherein the plurality of angular members comprise hollow Inconel with a circular cross-sectional shape. 8. The structural armor of claim 1, wherein the structure comprises a space structure, and wherein the front armor facesheet, the rear armor facesheet, and the angular member core are configured as a load-bearing component of the space structure. 9. A method of protecting a space structure from an impact with an object moving at hypervelocity speed, the method comprising:
receiving a penetrating impact from the object moving at hypervelocity speed on a front armor facesheet of a structural armor; and conically distributing debris from the penetrating impact outward at a spread angle to a rear armor facesheet of the structural armor through an angular member core disposed between the front armor facesheet and the rear armor facesheet. 10. The method of claim 9, wherein the angular member core comprises a plurality of nodes, each node abutting the front armor facesheet or the rear armor facesheet and providing a junction for a plurality of angular members intersecting at an acute node angle from the front armor facesheet or rear armor facesheet. 11. The method of claim 10, wherein receiving the penetrating impact from the object on the front armor facesheet of the structural armor comprises receiving the penetrating impact from the object on the front armor facesheet at a position aligned with a front node such that the debris impacts the front node after exiting the front armor facesheet. 12. The method of claim 10, wherein receiving the penetrating impact from the object on the front armor facesheet of the structural armor comprises receiving the penetrating impact from the object on the front armor facesheet at a position aligned with a beam of an angular member such that the debris impacts the beam after exiting the front armor facesheet. 13. The method of claim 10, wherein receiving the penetrating impact from the object on the front armor facesheet of the structural armor comprises receiving the penetrating impact from the object on the front armor facesheet at a position aligned with a valley associated with a rear node such that the debris impacts the valley associated with the rear node after exiting the front armor facesheet. 14. The method of claim 10, wherein receiving the penetrating impact from the object on the front armor facesheet of the structural armor comprises receiving the penetrating impact from the object on the front armor facesheet at a position aligned with an aperture of the angular member core such that the debris traverses the aperture of the angular member core after exiting the front armor facesheet. 15. The method of claim 10, wherein the spread angle is approximately equivalent to or greater than the acute node angle. 16. A method of providing a structural armor for protecting a space structure from an impact with an object moving at hypervelocity speed, the method comprising:
configuring an angular member core having a plurality of nodes and a plurality of angular members intersecting at the plurality of nodes according to an acute node angle from a front armor facesheet or a rear armor facesheet, the acute node angle corresponding to a spread angle of a debris field resulting from a hypervelocity impact of an object with the front armor facesheet; coupling the front armor facesheet to the angular member core; and coupling the rear armor facesheet to the angular member core such that the plurality of angular members extend from the front armor facesheet to the rear armor facesheet. 17. The method of claim 16, wherein the plurality of nodes comprises a plurality of front nodes abutting the front armor facesheet and a plurality of rear nodes abutting the rear armor facesheet such that each angular members extends from a front node at an acute node angle from the front armor facesheet to a rear node. 18. The method of claim 17, wherein the plurality of front nodes and the plurality of rear nodes each comprise an intersection of four angular members. 19. The method of claim 18, wherein the acute node angle comprises an angle between approximately 55 to 65 degrees. 20. The method of claim 16, further comprising:
coupling the structural armor comprising the front armor facesheet, the angular member core, and the rear armor facesheet to a plurality of components of the space structure, wherein the structural armor and the plurality of components are configured as load-bearing components of the space structure. | Apparatus and methods described herein provide for a structural armor configured to provide load-bearing capabilities to a structure, as well as to provide protection from hypervelocity impacts. According to one aspect of the disclosure provided herein, the structural armor may include two armor facesheets, with an angular member core disposed between. The angular member core may include a number of nodes abutting the armor facesheets, with angular members intersecting at the nodes at acute node angles from the armor facesheets and extending between the armor facesheets. The acute node angles correspond with estimated spread angles of a debris field resulting from an impact of an object with an armor facesheet while moving at hypervelocity speed.1. A structural armor for a space structure, the armor comprising:
a front armor facesheet; a rear armor facesheet offset from the front armor facesheet; and an angular member core having a plurality of nodes, each node abutting the front armor facesheet or the rear armor facesheet and providing a junction for a plurality of angular members intersecting at an acute node angle from the front armor facesheet or rear armor facesheet, the acute node angle selected according to a spread angle of a debris field resulting from a hypervelocity impact of an object with the front armor facesheet, wherein the front armor facesheet, the rear armor facesheet, and the angular member core are configured to provide load-bearing capability for the space structure. 2. The structural armor of claim 1, wherein the plurality of nodes comprises a plurality of front nodes, each front node abutting the front armor facesheet, and a plurality of rear nodes, each rear node abutting the rear armor facesheet. 3. The structural armor of claim 2, wherein each angular member connects a front node to a rear node. 4. The structural armor of claim 3, wherein the spread angle comprises an angle between approximately 55 to 65 degrees. 5. The structural armor of claim 4, wherein the acute node angle comprises 60 degrees. 6. The structural armor of claim 3, wherein the plurality of angular members comprises four angular members. 7. The structural armor of claim 3, wherein the plurality of angular members comprise hollow Inconel with a circular cross-sectional shape. 8. The structural armor of claim 1, wherein the structure comprises a space structure, and wherein the front armor facesheet, the rear armor facesheet, and the angular member core are configured as a load-bearing component of the space structure. 9. A method of protecting a space structure from an impact with an object moving at hypervelocity speed, the method comprising:
receiving a penetrating impact from the object moving at hypervelocity speed on a front armor facesheet of a structural armor; and conically distributing debris from the penetrating impact outward at a spread angle to a rear armor facesheet of the structural armor through an angular member core disposed between the front armor facesheet and the rear armor facesheet. 10. The method of claim 9, wherein the angular member core comprises a plurality of nodes, each node abutting the front armor facesheet or the rear armor facesheet and providing a junction for a plurality of angular members intersecting at an acute node angle from the front armor facesheet or rear armor facesheet. 11. The method of claim 10, wherein receiving the penetrating impact from the object on the front armor facesheet of the structural armor comprises receiving the penetrating impact from the object on the front armor facesheet at a position aligned with a front node such that the debris impacts the front node after exiting the front armor facesheet. 12. The method of claim 10, wherein receiving the penetrating impact from the object on the front armor facesheet of the structural armor comprises receiving the penetrating impact from the object on the front armor facesheet at a position aligned with a beam of an angular member such that the debris impacts the beam after exiting the front armor facesheet. 13. The method of claim 10, wherein receiving the penetrating impact from the object on the front armor facesheet of the structural armor comprises receiving the penetrating impact from the object on the front armor facesheet at a position aligned with a valley associated with a rear node such that the debris impacts the valley associated with the rear node after exiting the front armor facesheet. 14. The method of claim 10, wherein receiving the penetrating impact from the object on the front armor facesheet of the structural armor comprises receiving the penetrating impact from the object on the front armor facesheet at a position aligned with an aperture of the angular member core such that the debris traverses the aperture of the angular member core after exiting the front armor facesheet. 15. The method of claim 10, wherein the spread angle is approximately equivalent to or greater than the acute node angle. 16. A method of providing a structural armor for protecting a space structure from an impact with an object moving at hypervelocity speed, the method comprising:
configuring an angular member core having a plurality of nodes and a plurality of angular members intersecting at the plurality of nodes according to an acute node angle from a front armor facesheet or a rear armor facesheet, the acute node angle corresponding to a spread angle of a debris field resulting from a hypervelocity impact of an object with the front armor facesheet; coupling the front armor facesheet to the angular member core; and coupling the rear armor facesheet to the angular member core such that the plurality of angular members extend from the front armor facesheet to the rear armor facesheet. 17. The method of claim 16, wherein the plurality of nodes comprises a plurality of front nodes abutting the front armor facesheet and a plurality of rear nodes abutting the rear armor facesheet such that each angular members extends from a front node at an acute node angle from the front armor facesheet to a rear node. 18. The method of claim 17, wherein the plurality of front nodes and the plurality of rear nodes each comprise an intersection of four angular members. 19. The method of claim 18, wherein the acute node angle comprises an angle between approximately 55 to 65 degrees. 20. The method of claim 16, further comprising:
coupling the structural armor comprising the front armor facesheet, the angular member core, and the rear armor facesheet to a plurality of components of the space structure, wherein the structural armor and the plurality of components are configured as load-bearing components of the space structure. | 3,600 |
13,641 | 13,641 | 14,033,265 | 3,661 | A system and method of generating recommendations for users to sell items that they have previously purchased are described. An inventory of items of a user may be determined. The inventory of items may comprise items the user has purchased. For each item in the inventory of items, corresponding sale price information and corresponding purchase date information reflecting when the user purchased the corresponding item may be determined. A score may then be determined for each item in the inventory of items based on the corresponding sale price information and the corresponding purchase date information. At least one item from the inventory of items may be determined to recommend for sale by the user based on the corresponding score of the at least one item. | 1. A system comprising:
a machine having a memory and at least one processor; an inventory module configured to determine an inventory of items of a user, the inventory of items comprising items the user has purchased; a sale price module configured to, for each item in the inventory of items, determine corresponding sale price information; a purchase date module configured to, for each item in the inventory of items, determine corresponding purchase date information reflecting when the user purchased the corresponding item; an item score module, executable by the at least one processor, configured to, for each item in the inventory of items, determine a score based on the corresponding sale price information and the corresponding purchase date information; and a recommendation module configured to determine at least one item from the inventory of items to recommend for sale by the user based on the corresponding score of the at least one item. 2. The system of claim 1, wherein the sale price information comprises an average selling price for a plurality of items each having the same product identification as the corresponding item. 3. The system of claim 2, wherein, for each item in the inventory of items, the item score module is configured to determine the score conditioned upon the corresponding average selling price satisfying a minimum threshold. 4. The system of claim 1, wherein, for each item in the inventory of items, the item score module is configured to determine the score conditioned upon the corresponding purchase date information reflecting that a minimum threshold amount of time has passed since the corresponding item was purchased by the user. 5. The system of claim 1, wherein the item score module is configured to weight the corresponding scores of the items based on measurements of the user's buying activity and selling activity in item categories associated with the items. 6. The system of claim 1, wherein the recommendation module is further configured to:
rank the items in the inventory of items based on their corresponding scores; and select either a top portion or a bottom portion of the ranked items as the at least one item to recommend for sale. 7. The system of claim 1, wherein the recommendation module is further configured to provide, to the user, a recommendation to sell the determined at least one item. 8. The system of claim 17, wherein the recommendation comprises the sale price information corresponding to the determined at least one item. 9. The system of claim 1, wherein the inventory module is configured to access the user's buying and selling history on at least one e-commerce website in determining the inventory of items. 10. A computer-implemented method comprising:
determining an inventory of items of a user, the inventory of items comprising items the user has purchased; for each item in the inventory of items, determining corresponding sale price information; for each item in the inventory of items, determining corresponding purchase date information reflecting when the user purchased the corresponding item; for each item in the inventory of items, determining a score based on the corresponding sale price information and the corresponding purchase date information; and determining at least one item from the inventory of items to recommend for sale by the user based on the corresponding score of the at least one item. 11. The method of claim 10, wherein the sale price information comprises an average selling price for a plurality of items each having the same product identification as the corresponding item. 12. The method of claim 11, wherein, for each item in the inventory of items, the step of determining a score is conditioned upon the corresponding average selling price satisfying a minimum threshold. 13. The method of claim 10, wherein, for each item in the inventory of items, the step of determining a score is conditioned upon the corresponding purchase date information reflecting that a minimum threshold amount of time has passed since the corresponding item was purchased by the user. 14. The method of claim 10, further comprising weighting the corresponding scores of the items based on measurements of the user's buying activity and selling activity in item categories associated with the items. 15. The method of claim 10, wherein determining at least one item from the inventory of items to recommend for sale comprises:
ranking the items in the inventory of items based on their corresponding scores; and selecting either a top portion or a bottom portion of the ranked items as the at least one item to recommend for sale. 16. The method of claim 10, further comprising providing, to the user, a recommendation to sell the determined at least one item. 17. The method of claim 16, wherein the recommendation comprises the sale price information corresponding to the determined at least one item. 18. The method of claim 10, wherein determining the inventory of items comprises accessing the user's buying and selling history on at least one e-commerce website. 19. A non-transitory machine-readable storage device storing a set of instructions that, when executed by at least one processor, causes the at least one processor to perform a set of operations comprising:
determining an inventory of items of a user, the inventory of items comprising items the user has purchased; for each item in the inventory of items, determining corresponding sale price information; for each item in the inventory of items, determining corresponding purchase date information reflecting when the user purchased the corresponding item; for each item in the inventory of items, determining a score based on the corresponding sale price information and the corresponding purchase date information; and determining at least one item from the inventory of items to recommend for sale by the user based on the corresponding score of the at least one item. 20. The machine-readable storage device of claim 19, wherein the sale price information comprises an average selling price for a plurality of items each having the same product identification as the corresponding item. | A system and method of generating recommendations for users to sell items that they have previously purchased are described. An inventory of items of a user may be determined. The inventory of items may comprise items the user has purchased. For each item in the inventory of items, corresponding sale price information and corresponding purchase date information reflecting when the user purchased the corresponding item may be determined. A score may then be determined for each item in the inventory of items based on the corresponding sale price information and the corresponding purchase date information. At least one item from the inventory of items may be determined to recommend for sale by the user based on the corresponding score of the at least one item.1. A system comprising:
a machine having a memory and at least one processor; an inventory module configured to determine an inventory of items of a user, the inventory of items comprising items the user has purchased; a sale price module configured to, for each item in the inventory of items, determine corresponding sale price information; a purchase date module configured to, for each item in the inventory of items, determine corresponding purchase date information reflecting when the user purchased the corresponding item; an item score module, executable by the at least one processor, configured to, for each item in the inventory of items, determine a score based on the corresponding sale price information and the corresponding purchase date information; and a recommendation module configured to determine at least one item from the inventory of items to recommend for sale by the user based on the corresponding score of the at least one item. 2. The system of claim 1, wherein the sale price information comprises an average selling price for a plurality of items each having the same product identification as the corresponding item. 3. The system of claim 2, wherein, for each item in the inventory of items, the item score module is configured to determine the score conditioned upon the corresponding average selling price satisfying a minimum threshold. 4. The system of claim 1, wherein, for each item in the inventory of items, the item score module is configured to determine the score conditioned upon the corresponding purchase date information reflecting that a minimum threshold amount of time has passed since the corresponding item was purchased by the user. 5. The system of claim 1, wherein the item score module is configured to weight the corresponding scores of the items based on measurements of the user's buying activity and selling activity in item categories associated with the items. 6. The system of claim 1, wherein the recommendation module is further configured to:
rank the items in the inventory of items based on their corresponding scores; and select either a top portion or a bottom portion of the ranked items as the at least one item to recommend for sale. 7. The system of claim 1, wherein the recommendation module is further configured to provide, to the user, a recommendation to sell the determined at least one item. 8. The system of claim 17, wherein the recommendation comprises the sale price information corresponding to the determined at least one item. 9. The system of claim 1, wherein the inventory module is configured to access the user's buying and selling history on at least one e-commerce website in determining the inventory of items. 10. A computer-implemented method comprising:
determining an inventory of items of a user, the inventory of items comprising items the user has purchased; for each item in the inventory of items, determining corresponding sale price information; for each item in the inventory of items, determining corresponding purchase date information reflecting when the user purchased the corresponding item; for each item in the inventory of items, determining a score based on the corresponding sale price information and the corresponding purchase date information; and determining at least one item from the inventory of items to recommend for sale by the user based on the corresponding score of the at least one item. 11. The method of claim 10, wherein the sale price information comprises an average selling price for a plurality of items each having the same product identification as the corresponding item. 12. The method of claim 11, wherein, for each item in the inventory of items, the step of determining a score is conditioned upon the corresponding average selling price satisfying a minimum threshold. 13. The method of claim 10, wherein, for each item in the inventory of items, the step of determining a score is conditioned upon the corresponding purchase date information reflecting that a minimum threshold amount of time has passed since the corresponding item was purchased by the user. 14. The method of claim 10, further comprising weighting the corresponding scores of the items based on measurements of the user's buying activity and selling activity in item categories associated with the items. 15. The method of claim 10, wherein determining at least one item from the inventory of items to recommend for sale comprises:
ranking the items in the inventory of items based on their corresponding scores; and selecting either a top portion or a bottom portion of the ranked items as the at least one item to recommend for sale. 16. The method of claim 10, further comprising providing, to the user, a recommendation to sell the determined at least one item. 17. The method of claim 16, wherein the recommendation comprises the sale price information corresponding to the determined at least one item. 18. The method of claim 10, wherein determining the inventory of items comprises accessing the user's buying and selling history on at least one e-commerce website. 19. A non-transitory machine-readable storage device storing a set of instructions that, when executed by at least one processor, causes the at least one processor to perform a set of operations comprising:
determining an inventory of items of a user, the inventory of items comprising items the user has purchased; for each item in the inventory of items, determining corresponding sale price information; for each item in the inventory of items, determining corresponding purchase date information reflecting when the user purchased the corresponding item; for each item in the inventory of items, determining a score based on the corresponding sale price information and the corresponding purchase date information; and determining at least one item from the inventory of items to recommend for sale by the user based on the corresponding score of the at least one item. 20. The machine-readable storage device of claim 19, wherein the sale price information comprises an average selling price for a plurality of items each having the same product identification as the corresponding item. | 3,600 |
13,642 | 13,642 | 14,160,835 | 3,635 | A secure hold hook is shown and described. The secure hold hook may include a body having first and second portions and a pair of opposed surfaces, a hook monolithically formed with the body, the hook extending from a first of the pair of opposed surfaces and a first adhesive adhered with a second of the pair of opposed surfaces. The secure hold hook may also include a second adhesive extending from the first adhesive, and a hinge positioned between the first and second portions, the hinge configured to permit the first and second portions to pivot with respect to one another. | 1. A secure hold hook comprising:
a body having first and second portions and a pair of opposed surfaces; a hook monolithically formed with the body, the hook extending from a first of the pair of opposed surfaces; a first adhesive adhered with a second of the pair of opposed surfaces; a second adhesive extending from the first adhesive; and a hinge positioned between the first and second portions, the hinge configured to permit the first and second portions to pivot with respect to one another. 2. The secure hold hook of claim 1, further comprising an engagement member extending from the second of the pair of opposed surfaces and positioned at the first portion of the body. 3. The secure hold hook of claim 2, wherein the engagement member is fixedly attached with the body. 4. The secure hold hook of claim 2, wherein the engagement member is selectively attached with the body. 5. The secure hold hook of claim 4, wherein the second of the pair of opposed surfaces at the first portion of the body includes a slot whereby the engagement member is selectively insertable into the slot. 6. The secure hold hook of claim 2, wherein the engagement member comprises a nail having a generally arcuate body whereby the arcuate body of the nail generally follows a path of pivoting of the first portion with respect to the second portion. 7. The secure holder hook of claim 6, wherein the engagement member includes a piercing end configured to be inserted into and through an attaching surface. 8. The secure hold hook of claim 1, wherein the second adhesive is configured to be removed from an attaching surface without damaging the attaching surface. 9. The secure hold hook of claim 1, wherein the second adhesive is configured to be removed from an attaching surface as the first portion pivots at the hinge with respect to the second portion without damaging the attaching surface. 10. The secure hold hook of claim 1, wherein the first adhesive is a generally permanent adhesive and the second adhesive is a generally removable adhesive. 11. The secure hold hook of claim 1, wherein the first adhesive is a generally removable adhesive and the second adhesive is a generally removable adhesive. 12. The secure hold hook of claim 1, wherein the first and second adhesive are of generally different formulation. 13. The secure hold hook of claim 1, wherein the first and second adhesive are of generally a similar configuration. 14. The secure hold hook of claim 1, further comprising a foam core positioned between the first and second adhesives. 15. A secure hold hook comprising:
a body having first and second opposed surfaces and top and bottom portions; a hook attached with the body, at least a portion of the hook extending from the first surface; a first adhesive attached with the second surface; a second adhesive extending from the first adhesive; and a hinge positioned between the top and bottom portions, the hinge configured to permit the top and bottom portions to pivot with respect to one another. 16. The secure hold hook of claim 15, wherein the hook is pivotally attached with the body. 17. The secure hold hook of claim 16, wherein the hook includes end portions pivotally attached with opposing sides of the body. 18. The secure hold hook of claim 17, wherein the hook is formed from a first material and the body formed from a second material whereby the second material is different from the first material. 19. The secure hold hook of claim 18, wherein the first material is metal and the second material is plastic. 20. The secure hold hook of claim 15, wherein the hook is monolithically formed with the body. 21. The secure hold hook of claim 20, further comprising a cavity formed on the second surface of the body wherein the cavity extends into at least a portion of the hook. 22. The secure hold hook of claim 21, further comprising a generally planar portion generally circumscribing the cavity, wherein the first adhesive is attached with the generally planar portion. 23. The secure hold hook of claim 15, wherein the first adhesive is a generally permanent adhesive and the second adhesive is a generally removable adhesive. 24. The secure hold hook of claim 15, wherein the first adhesive is a generally removable adhesive and the second adhesive is a generally removable adhesive. 25. The secure hold hook of claim 15, further comprising a foam core positioned between the first and second adhesives. 26. A secure hold hook comprising:
a body having top and bottom portions; a hinge positioned between the top and bottom portions, wherein the top portion is pivotable with respect to the bottom portion at the hinge; a hook monolithically formed with the body, the hook extending from the body in a first direction; a first adhesive adhered with the body; a second removable adhesive extending from the first adhesive; and an engagement member positioned at the top portion of the body and extending away from the body in a second direction, wherein the first direction is opposite the second direction. 27. The secure hold hook of claim 26, wherein the hinge comprises a living hinge monolithically formed with the body. 28. The secure hold hook of claim 26, wherein the engagement member comprises a nail having a generally arcuate body whereby the arcuate body of the nail generally follows a path of pivoting of the top portion with respect to the bottom portion. 29. The secure hold hook of claim 26, further comprising a cavity formed in the body wherein the cavity extends into at least a portion of the hook. 30. The secure hold hook of claim 29, further comprising a generally planar portion generally circumscribing the cavity, wherein the first adhesive is attached with the generally planar portion. 31. The secure hold hook of claim 26, wherein the second removable adhesive is configured to be removed from an attaching surface without damaging the attaching surface. 32. The secure hold hook of claim 26, wherein the second removable adhesive is configured to be removed from an attaching surface as the top portion pivots at the hinge with respect to the bottom portion without damaging the attaching surface. 33. The secure hold hook of claim 26, wherein the first adhesive is a permanent adhesive. 34. The secure hold hook of claim 26, wherein the first adhesive is a removable adhesive. 35. The secure hold hook of claim 34, wherein the first adhesive and the second removable adhesive are of substantially equivalent formulation. 36. A secure hold hook comprising:
a body having first and second portions and first and second opposed surfaces; a hook monolithically formed with the body, the hook extending from the first opposed surface; a double-sided adhesive attached with the second opposed surface; and a decorative member selectively attached with the second opposed surface covering at least a portion of the body. 37. The secure hold hook of claim 36, further comprising a hinge positioned between the first and second portions, the hinge configured to permit the first and second portions to pivot with respect to one another. 38. The secure hold hook of claim 36, wherein the decorative member comprises a thin membrane selectively and removably attached with the second opposed surface. 39. The secure hold hook of claim 38, wherein the decorative member includes a finished surface and an engaging surface, the engaging surface selectively and removably attached with the second opposed surface. 40. The secure hold hook of claim 39, wherein the finished surface includes a decorative finish. 41. The secure hold hook of claim 39, wherein the engaging surface includes a removable adhesive attached thereto the removable adhesive configured to be selectively removable from the second opposed surface of the body. 42. The secure hold hook of claim 39, wherein the engaging surface selectively and removably attaches with the second opposed surface of the body using static cling. | A secure hold hook is shown and described. The secure hold hook may include a body having first and second portions and a pair of opposed surfaces, a hook monolithically formed with the body, the hook extending from a first of the pair of opposed surfaces and a first adhesive adhered with a second of the pair of opposed surfaces. The secure hold hook may also include a second adhesive extending from the first adhesive, and a hinge positioned between the first and second portions, the hinge configured to permit the first and second portions to pivot with respect to one another.1. A secure hold hook comprising:
a body having first and second portions and a pair of opposed surfaces; a hook monolithically formed with the body, the hook extending from a first of the pair of opposed surfaces; a first adhesive adhered with a second of the pair of opposed surfaces; a second adhesive extending from the first adhesive; and a hinge positioned between the first and second portions, the hinge configured to permit the first and second portions to pivot with respect to one another. 2. The secure hold hook of claim 1, further comprising an engagement member extending from the second of the pair of opposed surfaces and positioned at the first portion of the body. 3. The secure hold hook of claim 2, wherein the engagement member is fixedly attached with the body. 4. The secure hold hook of claim 2, wherein the engagement member is selectively attached with the body. 5. The secure hold hook of claim 4, wherein the second of the pair of opposed surfaces at the first portion of the body includes a slot whereby the engagement member is selectively insertable into the slot. 6. The secure hold hook of claim 2, wherein the engagement member comprises a nail having a generally arcuate body whereby the arcuate body of the nail generally follows a path of pivoting of the first portion with respect to the second portion. 7. The secure holder hook of claim 6, wherein the engagement member includes a piercing end configured to be inserted into and through an attaching surface. 8. The secure hold hook of claim 1, wherein the second adhesive is configured to be removed from an attaching surface without damaging the attaching surface. 9. The secure hold hook of claim 1, wherein the second adhesive is configured to be removed from an attaching surface as the first portion pivots at the hinge with respect to the second portion without damaging the attaching surface. 10. The secure hold hook of claim 1, wherein the first adhesive is a generally permanent adhesive and the second adhesive is a generally removable adhesive. 11. The secure hold hook of claim 1, wherein the first adhesive is a generally removable adhesive and the second adhesive is a generally removable adhesive. 12. The secure hold hook of claim 1, wherein the first and second adhesive are of generally different formulation. 13. The secure hold hook of claim 1, wherein the first and second adhesive are of generally a similar configuration. 14. The secure hold hook of claim 1, further comprising a foam core positioned between the first and second adhesives. 15. A secure hold hook comprising:
a body having first and second opposed surfaces and top and bottom portions; a hook attached with the body, at least a portion of the hook extending from the first surface; a first adhesive attached with the second surface; a second adhesive extending from the first adhesive; and a hinge positioned between the top and bottom portions, the hinge configured to permit the top and bottom portions to pivot with respect to one another. 16. The secure hold hook of claim 15, wherein the hook is pivotally attached with the body. 17. The secure hold hook of claim 16, wherein the hook includes end portions pivotally attached with opposing sides of the body. 18. The secure hold hook of claim 17, wherein the hook is formed from a first material and the body formed from a second material whereby the second material is different from the first material. 19. The secure hold hook of claim 18, wherein the first material is metal and the second material is plastic. 20. The secure hold hook of claim 15, wherein the hook is monolithically formed with the body. 21. The secure hold hook of claim 20, further comprising a cavity formed on the second surface of the body wherein the cavity extends into at least a portion of the hook. 22. The secure hold hook of claim 21, further comprising a generally planar portion generally circumscribing the cavity, wherein the first adhesive is attached with the generally planar portion. 23. The secure hold hook of claim 15, wherein the first adhesive is a generally permanent adhesive and the second adhesive is a generally removable adhesive. 24. The secure hold hook of claim 15, wherein the first adhesive is a generally removable adhesive and the second adhesive is a generally removable adhesive. 25. The secure hold hook of claim 15, further comprising a foam core positioned between the first and second adhesives. 26. A secure hold hook comprising:
a body having top and bottom portions; a hinge positioned between the top and bottom portions, wherein the top portion is pivotable with respect to the bottom portion at the hinge; a hook monolithically formed with the body, the hook extending from the body in a first direction; a first adhesive adhered with the body; a second removable adhesive extending from the first adhesive; and an engagement member positioned at the top portion of the body and extending away from the body in a second direction, wherein the first direction is opposite the second direction. 27. The secure hold hook of claim 26, wherein the hinge comprises a living hinge monolithically formed with the body. 28. The secure hold hook of claim 26, wherein the engagement member comprises a nail having a generally arcuate body whereby the arcuate body of the nail generally follows a path of pivoting of the top portion with respect to the bottom portion. 29. The secure hold hook of claim 26, further comprising a cavity formed in the body wherein the cavity extends into at least a portion of the hook. 30. The secure hold hook of claim 29, further comprising a generally planar portion generally circumscribing the cavity, wherein the first adhesive is attached with the generally planar portion. 31. The secure hold hook of claim 26, wherein the second removable adhesive is configured to be removed from an attaching surface without damaging the attaching surface. 32. The secure hold hook of claim 26, wherein the second removable adhesive is configured to be removed from an attaching surface as the top portion pivots at the hinge with respect to the bottom portion without damaging the attaching surface. 33. The secure hold hook of claim 26, wherein the first adhesive is a permanent adhesive. 34. The secure hold hook of claim 26, wherein the first adhesive is a removable adhesive. 35. The secure hold hook of claim 34, wherein the first adhesive and the second removable adhesive are of substantially equivalent formulation. 36. A secure hold hook comprising:
a body having first and second portions and first and second opposed surfaces; a hook monolithically formed with the body, the hook extending from the first opposed surface; a double-sided adhesive attached with the second opposed surface; and a decorative member selectively attached with the second opposed surface covering at least a portion of the body. 37. The secure hold hook of claim 36, further comprising a hinge positioned between the first and second portions, the hinge configured to permit the first and second portions to pivot with respect to one another. 38. The secure hold hook of claim 36, wherein the decorative member comprises a thin membrane selectively and removably attached with the second opposed surface. 39. The secure hold hook of claim 38, wherein the decorative member includes a finished surface and an engaging surface, the engaging surface selectively and removably attached with the second opposed surface. 40. The secure hold hook of claim 39, wherein the finished surface includes a decorative finish. 41. The secure hold hook of claim 39, wherein the engaging surface includes a removable adhesive attached thereto the removable adhesive configured to be selectively removable from the second opposed surface of the body. 42. The secure hold hook of claim 39, wherein the engaging surface selectively and removably attaches with the second opposed surface of the body using static cling. | 3,600 |
13,643 | 13,643 | 12,422,055 | 3,621 | A method and system for online library marketplace are disclosed. According to one embodiment, a method comprises receiving a first user input from a first user. The first user input establishes ownership rights to a non-modifiable data object stored in a permanent archive. A second user input is received from the first user, the second user input selecting a first fee for a second user to pay to access the non-modifiable data object. Access is granted to the non-modifiable data object to the second user upon payment of the first fee. | 1. A computer-implemented method for providing an online library marketplace, comprising:
receiving a first user input from a first user, the first user input establishing ownership rights to a non-modifiable data object stored in a permanent archive; receiving a second user input from the first user, the second user input selecting a first fee for a second user to pay to access the non-modifiable data object, and granting access to the non-modifiable data object to the second user upon payment of the first fee. 2. The method of claim 1, further comprising:
receiving a third user input from the second user, the third user input selecting a second fee for a third user to pay to access the non-modifiable data object; and granting access to the non-modifiable data object to the third user upon payment; of the second fee; wherein a third fee deducted from the second fee is also paid to the first user; 3. The method of claim 1, further comprising securely transferring funds between users and the system at predetermined time intervals. 4. The method of claim 3, wherein payment information is encrypted. 5. The method of claim 1, further comprising preventing unauthorized access to the non-modifiable data object. 6. The method of claim 5, wherein the non-modifiable data object is encrypted. 7. The method of claim 1, wherein the first fee is waivable. 8. The method of claim 2, wherein the second fee is waivable. 9. The method of claim 1, wherein the first fee changes after a predetermined time interval. 10. The method of claim 2, wherein the second fee changes after a predetermined time interval. 11. The method of claim 1, wherein granting access to a non-modifiable data object comprises allowing a user to view the non-modifiable data object. 12. The method of claim 1, wherein granting access to a non-modifiable data object comprises allowing a user to import the non-modifiable data object as an entry into said user's library. 13. The method of claim 12, wherein the entry is deletable by the user prior to importing the entry into the user's archive. 14. The method of claim 1, wherein granting access to a non-modifiable data object comprises preventing a user from copying the non-modifiable data object. 15. The method of claim 1, wherein granting access to a non-modifiable data object is on a temporary basis. 16. The method of claim 1, wherein granting access to a non-modifiable data object comprises preventing a user from exporting the non-modifiable data object. 17. The method of claim 1, wherein granting access to a non-modifiable data object comprises a user automatically incurring a viewing fee by scrolling beyond a designated fee point in the non-modifiable data object. 18. The method of claim 1, wherein a fifth user purchases a gift viewing for a sixth user. 19. The method of claim 1, further comprising:
automatically importing a non-modifiable data object as an entry to a library belonging to a user based on selective subscription to a non-modifiable data object source. 20. The method of claim 19, wherein the entry is deletable by the user prior to archiving. 21. The method of claim 1, further comprising:
manually importing a non-modifiable data object as an entry to a library belonging to a user. 22. The method of claim 21, wherein the entry is deletable by the user. 23. The method of claim 19, wherein the data object source is a blog. 24. The method of claim 19, wherein the data object source is a RSS feed. 25. The method of claim 19, wherein the data object source is a membership based library. 26. The membership based library of claim 25, wherein a user is granted membership by a designated membership based library owner. 27. The method of claim 1, further comprising limiting viewing access by minors. 28. The method of claim 1, wherein software is available to play media. 29. The method of claim 1, wherein hardware is available to play media. 30. The method of claim 1, wherein a user browses libraries comprising one or more entries, the entries comprising non-modifiable data objects. 31. The method of claim 1, wherein a user creates notebooks, the notebooks comprising references to entries in published libraries, the entries comprising non-modifiable data objects. 32. The method of claim 31, wherein a search engine utilizes the notebooks. 33. The method of claim 1, wherein a search engine utilizes comments. 34. The method of claim 1, wherein a search engine utilizes an index of an entry, an entry comprising a non-modifiable data object. 35. The method of claim 1, wherein a first user establishes an e-mail relationship for sharing non-modifiable data objects with a second user. 36. A system for providing an online library marketplace, comprising:
one or more computers; and computer instructions executable by the one or more computers, the computer instructions comprising means for:
receiving a first user input from a first user, the first user input establishing ownership rights to a non-modifiable data object stored in a permanent archive;
receiving a second user input from the first user, the second user input selecting a first fee for a second user to pay to access the non-modifiable data object; and
granting access to the non-modifiable data object to the second user upon payment of the first fee. 37. A computer readable storage medium comprising computer instructions for:
receiving a first user input from a first user, the first user input establishing ownership rights to a non-modifiable data object stored in a permanent archive; receiving a second user input from the first user, the second user input selecting a first fee for a second user to pay to access the non-modifiable data object; and granting access to the non-modifiable data object to the second user upon payment of the first fee. | A method and system for online library marketplace are disclosed. According to one embodiment, a method comprises receiving a first user input from a first user. The first user input establishes ownership rights to a non-modifiable data object stored in a permanent archive. A second user input is received from the first user, the second user input selecting a first fee for a second user to pay to access the non-modifiable data object. Access is granted to the non-modifiable data object to the second user upon payment of the first fee.1. A computer-implemented method for providing an online library marketplace, comprising:
receiving a first user input from a first user, the first user input establishing ownership rights to a non-modifiable data object stored in a permanent archive; receiving a second user input from the first user, the second user input selecting a first fee for a second user to pay to access the non-modifiable data object, and granting access to the non-modifiable data object to the second user upon payment of the first fee. 2. The method of claim 1, further comprising:
receiving a third user input from the second user, the third user input selecting a second fee for a third user to pay to access the non-modifiable data object; and granting access to the non-modifiable data object to the third user upon payment; of the second fee; wherein a third fee deducted from the second fee is also paid to the first user; 3. The method of claim 1, further comprising securely transferring funds between users and the system at predetermined time intervals. 4. The method of claim 3, wherein payment information is encrypted. 5. The method of claim 1, further comprising preventing unauthorized access to the non-modifiable data object. 6. The method of claim 5, wherein the non-modifiable data object is encrypted. 7. The method of claim 1, wherein the first fee is waivable. 8. The method of claim 2, wherein the second fee is waivable. 9. The method of claim 1, wherein the first fee changes after a predetermined time interval. 10. The method of claim 2, wherein the second fee changes after a predetermined time interval. 11. The method of claim 1, wherein granting access to a non-modifiable data object comprises allowing a user to view the non-modifiable data object. 12. The method of claim 1, wherein granting access to a non-modifiable data object comprises allowing a user to import the non-modifiable data object as an entry into said user's library. 13. The method of claim 12, wherein the entry is deletable by the user prior to importing the entry into the user's archive. 14. The method of claim 1, wherein granting access to a non-modifiable data object comprises preventing a user from copying the non-modifiable data object. 15. The method of claim 1, wherein granting access to a non-modifiable data object is on a temporary basis. 16. The method of claim 1, wherein granting access to a non-modifiable data object comprises preventing a user from exporting the non-modifiable data object. 17. The method of claim 1, wherein granting access to a non-modifiable data object comprises a user automatically incurring a viewing fee by scrolling beyond a designated fee point in the non-modifiable data object. 18. The method of claim 1, wherein a fifth user purchases a gift viewing for a sixth user. 19. The method of claim 1, further comprising:
automatically importing a non-modifiable data object as an entry to a library belonging to a user based on selective subscription to a non-modifiable data object source. 20. The method of claim 19, wherein the entry is deletable by the user prior to archiving. 21. The method of claim 1, further comprising:
manually importing a non-modifiable data object as an entry to a library belonging to a user. 22. The method of claim 21, wherein the entry is deletable by the user. 23. The method of claim 19, wherein the data object source is a blog. 24. The method of claim 19, wherein the data object source is a RSS feed. 25. The method of claim 19, wherein the data object source is a membership based library. 26. The membership based library of claim 25, wherein a user is granted membership by a designated membership based library owner. 27. The method of claim 1, further comprising limiting viewing access by minors. 28. The method of claim 1, wherein software is available to play media. 29. The method of claim 1, wherein hardware is available to play media. 30. The method of claim 1, wherein a user browses libraries comprising one or more entries, the entries comprising non-modifiable data objects. 31. The method of claim 1, wherein a user creates notebooks, the notebooks comprising references to entries in published libraries, the entries comprising non-modifiable data objects. 32. The method of claim 31, wherein a search engine utilizes the notebooks. 33. The method of claim 1, wherein a search engine utilizes comments. 34. The method of claim 1, wherein a search engine utilizes an index of an entry, an entry comprising a non-modifiable data object. 35. The method of claim 1, wherein a first user establishes an e-mail relationship for sharing non-modifiable data objects with a second user. 36. A system for providing an online library marketplace, comprising:
one or more computers; and computer instructions executable by the one or more computers, the computer instructions comprising means for:
receiving a first user input from a first user, the first user input establishing ownership rights to a non-modifiable data object stored in a permanent archive;
receiving a second user input from the first user, the second user input selecting a first fee for a second user to pay to access the non-modifiable data object; and
granting access to the non-modifiable data object to the second user upon payment of the first fee. 37. A computer readable storage medium comprising computer instructions for:
receiving a first user input from a first user, the first user input establishing ownership rights to a non-modifiable data object stored in a permanent archive; receiving a second user input from the first user, the second user input selecting a first fee for a second user to pay to access the non-modifiable data object; and granting access to the non-modifiable data object to the second user upon payment of the first fee. | 3,600 |
13,644 | 13,644 | 14,262,875 | 3,689 | A method and system for providing access to a resource. A request for an individual within an organization to access the resource is received. In response to the request having been received, at least one constraint for accessing the resource by the individual is ascertained, based on respective constraints for accessing the resource by one or more other individuals in the organization. The one or more other individuals have a same role in the organization as the individual or have a respective relationship with the individual. The at least one constraint is provided to the individual. | 1. A method for providing access to a resource, said method comprising:
receiving, by a processor of a computer system, a request for an individual within an organization to access the resource; in response to said receiving the request, said processor ascertaining at least one constraint for accessing the resource by the individual, based on constraints for accessing the resource by one or more other individuals in the organization, wherein the one or more other individuals have a same role in the organization as the individual or have a respective relationship with the individual; and said processor providing the at least one constraint to the individual. 2. The method of claim 1, wherein said ascertaining the at least one constraint for accessing the resource by the individual is based on constraints for accessing the resource by one or more other individuals having a same role in the organization as the individual. 3. The method of claim 2, wherein the one or more other individuals consists of a single individual, and wherein said ascertaining comprises ascertaining the at least one constraint for accessing the resource by the individual as being the one or more constraints for accessing the resource by the single individual. 4. The method of claim 2, wherein the one or more other individuals consists of a plurality of other individuals, and wherein said ascertaining comprises ascertaining the at least one constraint for accessing the resource by the individual as being an overlapping portion of the respective constraints for accessing the resource by the plurality of other individuals. 5. The method of claim 2, wherein the role of the individual in the organization is the individual's job title, rank, working location, or combinations thereof, in the organization. 6. The method of claim 1, wherein said ascertaining the at least one constraint for accessing the resource by the individual is based on constraints for accessing the resource by one or more other individuals having a respective relationship with the individual. 7. The method of claim 6, wherein the one or more other individuals consists of a plurality of other individuals, and wherein said ascertaining comprises:
obtaining respective weights denoting a strength of the relationship of the individual with the other individuals, each respective weight being associated with a unique individual of the other individuals. determining one or more weights of the respective weights that exceed a specified weight threshold; selecting an individual of the other individuals to which a weight of the one or more weights exceeding the specified weight threshold is associated; and ascertaining the at least one constraint for accessing the resource by the individual as being the one or more constraints for accessing the resource by the selected individual. 8. The method of claim 6, wherein the one or more other individuals consist of a plurality of other individuals, and wherein the plurality of other individuals are in a social network within the organization. 9. A computer program product, comprising a computer readable hardware storage device having computer readable program code stored therein, said program code containing instructions which, upon being executed by a processor of a computer system, implement a method for providing access to a resource, said method comprising:
said processor receiving a request for an individual within an organization to access the resource; in response to said receiving the request, said processor ascertaining at least one constraint for accessing the resource by the individual, based on constraints for accessing the resource by one or more other individuals in the organization, wherein the one or more other individuals have a same role in the organization as the individual or have a respective relationship with the individual; and said processor providing the at least one constraint to the individual. 10. The computer program product of claim 9, wherein said ascertaining the at least one constraint for accessing the resource by the individual based on constraints for accessing the resource by one or more other individuals having a same role in the organization as the individual. 11. The computer program product of claim 10, wherein the one or more other individuals consists of a single individual, and wherein said ascertaining comprises ascertaining the at least one constraint for accessing the resource by the individual as being the one or more constraints for accessing the resource by the single individual. 12. The computer program product of claim 10, wherein the one or more other individuals consists of a plurality of other individuals, and wherein said ascertaining comprises ascertaining the at least one constraint for accessing the resource by the individual as being an overlapping portion of the respective constraints for accessing the resource by the plurality of other individuals. 13. The computer program product of claim 9, wherein said ascertaining the at least one constraint for accessing the resource by the individual is based on constraints for accessing the resource by one or more other individuals having a respective relationship with the individual. 14. The computer program product of claim 13, wherein the one or more other individuals consists of a plurality of other individuals, and wherein said ascertaining comprises:
obtaining respective weights denoting a strength of the relationship of the individual with the other individuals, each respective weight being associated with a unique individual of the other individuals. determining one or more weights of the respective weights that exceed a specified weight threshold; selecting an individual of the other individuals to which a weight of the one or more weights exceeding the specified weight threshold is associated; and ascertaining the at least one constraint for accessing the resource by the individual as being the one or more constraints for accessing the resource by the selected individual. 15. A computer system comprising a processor, a memory coupled to the processor, and a computer readable storage device coupled to the processor, said storage device containing program code configured to be executed by the processor via the memory to implement a method for providing access to a resource, said method comprising:
said processor receiving a request for an individual within an organization to access the resource; in response to said receiving the request, said processor ascertaining at least one constraint for accessing the resource by the individual, based on constraints for accessing the resource by one or more other individuals in the organization, wherein the one or more other individuals have a same role in the organization as the individual or have a respective relationship with the individual; and said processor providing the at least one constraint to the individual. 16. The computer system of claim 15, wherein said ascertaining the at least one constraint for accessing the resource by the individual is based on constraints for accessing the resource by one or more other individuals having a same role in the organization as the individual. 17. The computer system of claim 16, wherein the one or more other individuals consists of a single individual, and wherein said ascertaining comprises ascertaining the at least one constraint for accessing the resource by the individual as being the one or more constraints for accessing the resource by the single individual. 18. The computer system of claim 16, wherein the one or more other individuals consists of a plurality of other individuals, and wherein said ascertaining comprises ascertaining the at least one constraint for accessing the resource by the individual as being an overlapping portion of the respective constraints for accessing the resource by the plurality of other individuals. 19. The computer system of claim 15, wherein said ascertaining the at least one constraint for accessing the resource by the individual is based on constraints for accessing the resource by one or more other individuals having a respective relationship with the individual. 20. The computer system of claim 19, wherein the one or more other individuals consists of a plurality of other individuals, and wherein said ascertaining comprises:
obtaining respective weights denoting a strength of the relationship of the individual with the other individuals, each respective weight being associated with a unique individual of the other individuals. determining one or more weights of the respective weights that exceed a specified weight threshold; selecting an individual of the other individuals to which a weight of the one or more weights exceeding the specified weight threshold is associated; and ascertaining the at least one constraint for accessing the resource by the individual as being the one or more constraints for accessing the resource by the selected individual. | A method and system for providing access to a resource. A request for an individual within an organization to access the resource is received. In response to the request having been received, at least one constraint for accessing the resource by the individual is ascertained, based on respective constraints for accessing the resource by one or more other individuals in the organization. The one or more other individuals have a same role in the organization as the individual or have a respective relationship with the individual. The at least one constraint is provided to the individual.1. A method for providing access to a resource, said method comprising:
receiving, by a processor of a computer system, a request for an individual within an organization to access the resource; in response to said receiving the request, said processor ascertaining at least one constraint for accessing the resource by the individual, based on constraints for accessing the resource by one or more other individuals in the organization, wherein the one or more other individuals have a same role in the organization as the individual or have a respective relationship with the individual; and said processor providing the at least one constraint to the individual. 2. The method of claim 1, wherein said ascertaining the at least one constraint for accessing the resource by the individual is based on constraints for accessing the resource by one or more other individuals having a same role in the organization as the individual. 3. The method of claim 2, wherein the one or more other individuals consists of a single individual, and wherein said ascertaining comprises ascertaining the at least one constraint for accessing the resource by the individual as being the one or more constraints for accessing the resource by the single individual. 4. The method of claim 2, wherein the one or more other individuals consists of a plurality of other individuals, and wherein said ascertaining comprises ascertaining the at least one constraint for accessing the resource by the individual as being an overlapping portion of the respective constraints for accessing the resource by the plurality of other individuals. 5. The method of claim 2, wherein the role of the individual in the organization is the individual's job title, rank, working location, or combinations thereof, in the organization. 6. The method of claim 1, wherein said ascertaining the at least one constraint for accessing the resource by the individual is based on constraints for accessing the resource by one or more other individuals having a respective relationship with the individual. 7. The method of claim 6, wherein the one or more other individuals consists of a plurality of other individuals, and wherein said ascertaining comprises:
obtaining respective weights denoting a strength of the relationship of the individual with the other individuals, each respective weight being associated with a unique individual of the other individuals. determining one or more weights of the respective weights that exceed a specified weight threshold; selecting an individual of the other individuals to which a weight of the one or more weights exceeding the specified weight threshold is associated; and ascertaining the at least one constraint for accessing the resource by the individual as being the one or more constraints for accessing the resource by the selected individual. 8. The method of claim 6, wherein the one or more other individuals consist of a plurality of other individuals, and wherein the plurality of other individuals are in a social network within the organization. 9. A computer program product, comprising a computer readable hardware storage device having computer readable program code stored therein, said program code containing instructions which, upon being executed by a processor of a computer system, implement a method for providing access to a resource, said method comprising:
said processor receiving a request for an individual within an organization to access the resource; in response to said receiving the request, said processor ascertaining at least one constraint for accessing the resource by the individual, based on constraints for accessing the resource by one or more other individuals in the organization, wherein the one or more other individuals have a same role in the organization as the individual or have a respective relationship with the individual; and said processor providing the at least one constraint to the individual. 10. The computer program product of claim 9, wherein said ascertaining the at least one constraint for accessing the resource by the individual based on constraints for accessing the resource by one or more other individuals having a same role in the organization as the individual. 11. The computer program product of claim 10, wherein the one or more other individuals consists of a single individual, and wherein said ascertaining comprises ascertaining the at least one constraint for accessing the resource by the individual as being the one or more constraints for accessing the resource by the single individual. 12. The computer program product of claim 10, wherein the one or more other individuals consists of a plurality of other individuals, and wherein said ascertaining comprises ascertaining the at least one constraint for accessing the resource by the individual as being an overlapping portion of the respective constraints for accessing the resource by the plurality of other individuals. 13. The computer program product of claim 9, wherein said ascertaining the at least one constraint for accessing the resource by the individual is based on constraints for accessing the resource by one or more other individuals having a respective relationship with the individual. 14. The computer program product of claim 13, wherein the one or more other individuals consists of a plurality of other individuals, and wherein said ascertaining comprises:
obtaining respective weights denoting a strength of the relationship of the individual with the other individuals, each respective weight being associated with a unique individual of the other individuals. determining one or more weights of the respective weights that exceed a specified weight threshold; selecting an individual of the other individuals to which a weight of the one or more weights exceeding the specified weight threshold is associated; and ascertaining the at least one constraint for accessing the resource by the individual as being the one or more constraints for accessing the resource by the selected individual. 15. A computer system comprising a processor, a memory coupled to the processor, and a computer readable storage device coupled to the processor, said storage device containing program code configured to be executed by the processor via the memory to implement a method for providing access to a resource, said method comprising:
said processor receiving a request for an individual within an organization to access the resource; in response to said receiving the request, said processor ascertaining at least one constraint for accessing the resource by the individual, based on constraints for accessing the resource by one or more other individuals in the organization, wherein the one or more other individuals have a same role in the organization as the individual or have a respective relationship with the individual; and said processor providing the at least one constraint to the individual. 16. The computer system of claim 15, wherein said ascertaining the at least one constraint for accessing the resource by the individual is based on constraints for accessing the resource by one or more other individuals having a same role in the organization as the individual. 17. The computer system of claim 16, wherein the one or more other individuals consists of a single individual, and wherein said ascertaining comprises ascertaining the at least one constraint for accessing the resource by the individual as being the one or more constraints for accessing the resource by the single individual. 18. The computer system of claim 16, wherein the one or more other individuals consists of a plurality of other individuals, and wherein said ascertaining comprises ascertaining the at least one constraint for accessing the resource by the individual as being an overlapping portion of the respective constraints for accessing the resource by the plurality of other individuals. 19. The computer system of claim 15, wherein said ascertaining the at least one constraint for accessing the resource by the individual is based on constraints for accessing the resource by one or more other individuals having a respective relationship with the individual. 20. The computer system of claim 19, wherein the one or more other individuals consists of a plurality of other individuals, and wherein said ascertaining comprises:
obtaining respective weights denoting a strength of the relationship of the individual with the other individuals, each respective weight being associated with a unique individual of the other individuals. determining one or more weights of the respective weights that exceed a specified weight threshold; selecting an individual of the other individuals to which a weight of the one or more weights exceeding the specified weight threshold is associated; and ascertaining the at least one constraint for accessing the resource by the individual as being the one or more constraints for accessing the resource by the selected individual. | 3,600 |
13,645 | 13,645 | 13,752,271 | 3,682 | An automated system and method for authenticating entities or individuals engaging in automated or electronic transactions or activities such as financial transactions, accessing computer applications, computer software, data networks or other automated or electronic devices requiring identity and/or reliability verification is provided. | 1. A method, comprising the steps of:
detecting a user attempt to perform an activity using a mobile application; receiving and processing said attempt; determining a risk score associated with said user attempt, the risk score being based on mobile subscriber data associated with the user and data associated with at least one electronic account for which the user must authenticate the identity of the user; and comparing said risk score against a threshold, wherein
if said risk score is determined to be
below said threshold, authenticating said user to perform the activity, and
if said risk score is determined to be above said threshold, forcing said user through an additional authentication process wherein,
if said user fails said additional authentication process, blocking said user from performing the activity, and
if said user passes said additional authentication process, authorizing said user to perform the activity. 2. The method of claim 1, wherein the electronic account enables physical access of the user to a structure. 3. The method of claim 1, wherein the electronic account enables access of the user to a website. 4. The method of claim 1, wherein the electronic account enables the user to perform a financial transaction. 5. The method of claim 1, wherein the steps are performed by at least one processing device executing instructions stored on a computer-readable medium. 6. A method, comprising the steps of:
detecting a combination of multiple instances of user access to multiple accounts of the user, at least one of said accounts being associated with an online retailer, determining, based on data describing the instances of the combination, an incentive for the user to consummate a purchase transaction with the online retailer; and presenting to the user, in an application executable by a mobile electronic device, the incentive in a redeemable form. 7. The method of claim 6, wherein the steps are performed by at least one processing device executing instructions stored on a computer-readable medium. 8. The method of claim 6, wherein an account of the multiple accounts enables physical access of the user to a structure. 9. The method of claim 6, wherein an account of the multiple accounts enables access of the user to a website. 10. The method of claim 6, wherein an account of the multiple accounts enables the user to perform a financial transaction. | An automated system and method for authenticating entities or individuals engaging in automated or electronic transactions or activities such as financial transactions, accessing computer applications, computer software, data networks or other automated or electronic devices requiring identity and/or reliability verification is provided.1. A method, comprising the steps of:
detecting a user attempt to perform an activity using a mobile application; receiving and processing said attempt; determining a risk score associated with said user attempt, the risk score being based on mobile subscriber data associated with the user and data associated with at least one electronic account for which the user must authenticate the identity of the user; and comparing said risk score against a threshold, wherein
if said risk score is determined to be
below said threshold, authenticating said user to perform the activity, and
if said risk score is determined to be above said threshold, forcing said user through an additional authentication process wherein,
if said user fails said additional authentication process, blocking said user from performing the activity, and
if said user passes said additional authentication process, authorizing said user to perform the activity. 2. The method of claim 1, wherein the electronic account enables physical access of the user to a structure. 3. The method of claim 1, wherein the electronic account enables access of the user to a website. 4. The method of claim 1, wherein the electronic account enables the user to perform a financial transaction. 5. The method of claim 1, wherein the steps are performed by at least one processing device executing instructions stored on a computer-readable medium. 6. A method, comprising the steps of:
detecting a combination of multiple instances of user access to multiple accounts of the user, at least one of said accounts being associated with an online retailer, determining, based on data describing the instances of the combination, an incentive for the user to consummate a purchase transaction with the online retailer; and presenting to the user, in an application executable by a mobile electronic device, the incentive in a redeemable form. 7. The method of claim 6, wherein the steps are performed by at least one processing device executing instructions stored on a computer-readable medium. 8. The method of claim 6, wherein an account of the multiple accounts enables physical access of the user to a structure. 9. The method of claim 6, wherein an account of the multiple accounts enables access of the user to a website. 10. The method of claim 6, wherein an account of the multiple accounts enables the user to perform a financial transaction. | 3,600 |
13,646 | 13,646 | 16,048,152 | 3,635 | A tiered mounting system includes a base plate including a mounting guide rail having a plurality of mounting grooves that extend along opposing sides of the guide rail. The system also includes an object mount connector having a plurality of mounting ridges. The object mount connector is configured to: slidingly engage the mounting guide rail via insertion of one or more of the plurality of mounting ridges within a corresponding one or more of the plurality of mounting grooves, and lock in place along the mounting guide rail via a bolt placed through the object mount connector and secured tightly to an inner track of the mounting guide rail. | 1. A tiered mounting system, comprising:
a base plate including a mounting guide rail having a plurality of mounting grooves that extend along opposing sides of the guide rail; and an object mount connector having a plurality of mounting ridges, the object mount connector being configured to:
slidingly engage the mounting guide rail via insertion of one or more of the plurality of mounting ridges within a corresponding one or more of the plurality of mounting grooves, and
lock in place along the mounting guide rail via a bolt placed through the object mount connector and secured tightly to an inner track of the mounting guide rail. 2. The tiered mounting system according to claim 1, wherein the object mount connector includes:
a first portion of the plurality of mounting ridges on a first connection section that protrudes from a first sidewall, and a second portion of the plurality of mounting ridges on a second connection section that protrudes from a second sidewall that abuts and is substantially orthogonal to the first sidewall. 3. The tiered mounting system according to claim 1, wherein the object mount connector is longer in a length direction than in a width direction, and
wherein the object mount connector is configured to mount to the base plate:
in a first position where the width direction extends vertically, and
in a second position where the length direction extends vertically. | A tiered mounting system includes a base plate including a mounting guide rail having a plurality of mounting grooves that extend along opposing sides of the guide rail. The system also includes an object mount connector having a plurality of mounting ridges. The object mount connector is configured to: slidingly engage the mounting guide rail via insertion of one or more of the plurality of mounting ridges within a corresponding one or more of the plurality of mounting grooves, and lock in place along the mounting guide rail via a bolt placed through the object mount connector and secured tightly to an inner track of the mounting guide rail.1. A tiered mounting system, comprising:
a base plate including a mounting guide rail having a plurality of mounting grooves that extend along opposing sides of the guide rail; and an object mount connector having a plurality of mounting ridges, the object mount connector being configured to:
slidingly engage the mounting guide rail via insertion of one or more of the plurality of mounting ridges within a corresponding one or more of the plurality of mounting grooves, and
lock in place along the mounting guide rail via a bolt placed through the object mount connector and secured tightly to an inner track of the mounting guide rail. 2. The tiered mounting system according to claim 1, wherein the object mount connector includes:
a first portion of the plurality of mounting ridges on a first connection section that protrudes from a first sidewall, and a second portion of the plurality of mounting ridges on a second connection section that protrudes from a second sidewall that abuts and is substantially orthogonal to the first sidewall. 3. The tiered mounting system according to claim 1, wherein the object mount connector is longer in a length direction than in a width direction, and
wherein the object mount connector is configured to mount to the base plate:
in a first position where the width direction extends vertically, and
in a second position where the length direction extends vertically. | 3,600 |
13,647 | 13,647 | 12,916,210 | 3,695 | Embodiments disclosed herein provide a behavioral based solution to user identity validation, useful in real-time detection of abnormal activity while a user is engaged in an online transaction with a financial institution. A risk modeling system may run two distinct environments: one to train machine learning algorithms to produce classification objects and another to score user activities in real-time using these classification objects. In both environments, activity data collected on a particular user is mapped to various behavioral models to produce atomic elements that can be scored. Classifiers may be dynamically updated in response to new behavioral activities. Example user activities may include login, transactional, and traverse. In some embodiments, depending upon configurable settings with respect to sensitivity and/or specificity, detection of an abnormal activity or activities may not trigger a flag-and-notify unless an attempt is made to move or transfer money. | 1. A method, comprising:
at a computer implementing a risk modeling system, operating two distinct environments, wherein the two distinct environments comprise a real-time scoring environment and a supervised, inductive machine learning environment; in the supervised, inductive machine learning environment:
partitioning user activity data into a test partition and a train partition;
mapping data from the train partition to a plurality of modeled action spaces to produce a plurality of atomic elements, wherein each of the plurality of atomic elements is associated with a particular user action;
generating classification objects based on behavioral patterns extracted from the plurality of atomic elements;
testing the classification objects utilizing data from the test partition; and
storing an array of distinct classification objects associated with the particular user action in a database;
in the real-time scoring environment:
collecting real-time user activity data during an online transaction;
producing a real-time atomic element representing the particular user action taken by an entity during the online transaction;
applying a classification object to the real-time atomic element representing the particular user action, wherein the classification object is selected from the array of distinct classification objects stored in the database; and
based at least in part on a value produced by the classification object, determining whether to pass or fail the particular user action taken by the entity during the online transaction. 2. The method according to claim 1, wherein determining whether to pass or fail the particular user action taken by the entity during the online transaction is additionally based in part on a sensitivity configuration setting. 3. The method according to claim 1, wherein the classification object fails the particular user action taken by the entity during the online transaction and wherein the particular user action taken by the entity during the online transaction involves moving or transferring money from an account, further comprising:
flagging the particular user action in real-time; and notifying, in real-time, a legitimate holder of the account, a financial institution servicing the account, or both. 4. The method according to claim 3, further comprising:
preventing the money from being moved or transferred from the account. 5. The method according to claim 1, wherein determining whether to pass or fail the particular user action taken by the entity during the online transaction is additionally based in part on a result produced by a policy engine. 6. The method according to claim 2, wherein the policy engine runs on the real-time user activity data collected during the online transaction. 7. The method according to claim 1, wherein testing the classification objects in the supervised, inductive machine learning environment further comprises:
mapping data from the test partition to the plurality of modeled action spaces; and applying a classification object associated with the particular user action against an atomic element representing the particular user action. 8. The method according to claim 1, wherein the particular user action is a login activity, a transactional activity, or a traverse activity. 9. The method according to claim 8, wherein the traverse activity comprises traversing an online financial application through an approval path for moving or transferring money. 10. A computer program product comprising at least one non-transitory computer readable medium storing instructions translatable by at least one processor to perform:
partitioning user activity data into a test partition and a train partition; mapping data from the train partition to a plurality of modeled action spaces to produce a plurality of atomic elements, wherein each of the plurality of atomic elements is associated with a particular user action; generating classification objects based on behavioral patterns extracted from the plurality of atomic elements; testing the classification objects utilizing data from the test partition; storing an array of distinct classification objects associated with the particular user action in a database; collecting real-time user activity data during an online transaction; producing a real-time atomic element representing the particular user action taken by an entity during the online transaction; applying a classification object to the real-time atomic element representing the particular user action, wherein the classification object is selected from the array of distinct classification objects stored in the database; and based at least in part on a value produced by the classification object, determining whether to pass or fail the particular user action taken by the entity during the online transaction. 11. The computer program product of claim 10, wherein the classification object fails the particular user action taken by the entity during the online transaction, wherein the particular user action taken by the entity during the online transaction involves moving or transferring money from an account, and wherein the instructions are translatable by the at least one processor to perform:
flagging the particular user action in real-time; and notifying, in real-time, a legitimate holder of the account, a financial institution servicing the account, or both. 12. The computer program product of claim 11, wherein the instructions are translatable by the at least one processor to perform:
preventing the money from being moved or transferred from the account. 13. The computer program product of claim 10, wherein the instructions are translatable by the at least one processor to perform:
mapping data from the test partition to the plurality of modeled action spaces; and applying a classification object associated with the particular user action against an atomic element representing the particular user action. 14. A system, comprising:
a behavioral analysis engine operating on a computer having access to a production database storing user activity data, wherein the behavioral analysis engine is configured to perform: in a supervised, inductive machine learning environment:
partitioning user activity data into a test partition and a train partition; a production database storing raw user activity data;
mapping data from the train partition to a plurality of modeled action spaces to produce a plurality of atomic elements, wherein each of the plurality of atomic elements is associated with a particular user action;
generating classification objects based on behavioral patterns extracted from the plurality of atomic elements;
testing the classification objects utilizing data from the test partition; and
storing an array of distinct classification objects associated with the particular user action in a database;
in a real-time scoring environment:
collecting real-time user activity data during an online transaction;
producing a real-time atomic element representing the particular user action taken by an entity during the online transaction;
applying a classification object to the real-time atomic element representing the particular user action, wherein the classification object is selected from the array of distinct classification objects stored in the database; and
based at least in part on a value produced by the classification object, determining whether to pass or fail the particular user action taken by the entity during the online transaction. 15. The system of claim 14, wherein determining whether to pass or fail the particular user action taken by the entity during the online transaction is additionally based in part on a sensitivity configuration setting. 16. The system of claim 15, wherein when the classification object fails the particular user action taken by the entity during the online transaction and the particular user action taken by the entity during the online transaction involves moving or transferring money from an account, the behavioral analysis engine is further configured to perform:
flagging the particular user action in real-time; and notifying, in real-time, a legitimate holder of the account, a financial institution servicing the account, or both. 17. The system of claim 14, wherein the behavioral analysis engine is further configured to perform:
preventing the money from being moved or transferred from the account. 18. The system of claim 14, wherein the behavioral analysis engine is further configured to perform:
mapping data from the test partition to the plurality of modeled action spaces; and applying a classification object associated with the particular user action against an atomic element representing the particular user action. 19. The system of claim 14, wherein the particular user action is a login activity, a transactional activity, or a traverse activity. 20. The system of claim 19, wherein the traverse activity comprises traversing an online financial application through an approval path for moving or transferring money. | Embodiments disclosed herein provide a behavioral based solution to user identity validation, useful in real-time detection of abnormal activity while a user is engaged in an online transaction with a financial institution. A risk modeling system may run two distinct environments: one to train machine learning algorithms to produce classification objects and another to score user activities in real-time using these classification objects. In both environments, activity data collected on a particular user is mapped to various behavioral models to produce atomic elements that can be scored. Classifiers may be dynamically updated in response to new behavioral activities. Example user activities may include login, transactional, and traverse. In some embodiments, depending upon configurable settings with respect to sensitivity and/or specificity, detection of an abnormal activity or activities may not trigger a flag-and-notify unless an attempt is made to move or transfer money.1. A method, comprising:
at a computer implementing a risk modeling system, operating two distinct environments, wherein the two distinct environments comprise a real-time scoring environment and a supervised, inductive machine learning environment; in the supervised, inductive machine learning environment:
partitioning user activity data into a test partition and a train partition;
mapping data from the train partition to a plurality of modeled action spaces to produce a plurality of atomic elements, wherein each of the plurality of atomic elements is associated with a particular user action;
generating classification objects based on behavioral patterns extracted from the plurality of atomic elements;
testing the classification objects utilizing data from the test partition; and
storing an array of distinct classification objects associated with the particular user action in a database;
in the real-time scoring environment:
collecting real-time user activity data during an online transaction;
producing a real-time atomic element representing the particular user action taken by an entity during the online transaction;
applying a classification object to the real-time atomic element representing the particular user action, wherein the classification object is selected from the array of distinct classification objects stored in the database; and
based at least in part on a value produced by the classification object, determining whether to pass or fail the particular user action taken by the entity during the online transaction. 2. The method according to claim 1, wherein determining whether to pass or fail the particular user action taken by the entity during the online transaction is additionally based in part on a sensitivity configuration setting. 3. The method according to claim 1, wherein the classification object fails the particular user action taken by the entity during the online transaction and wherein the particular user action taken by the entity during the online transaction involves moving or transferring money from an account, further comprising:
flagging the particular user action in real-time; and notifying, in real-time, a legitimate holder of the account, a financial institution servicing the account, or both. 4. The method according to claim 3, further comprising:
preventing the money from being moved or transferred from the account. 5. The method according to claim 1, wherein determining whether to pass or fail the particular user action taken by the entity during the online transaction is additionally based in part on a result produced by a policy engine. 6. The method according to claim 2, wherein the policy engine runs on the real-time user activity data collected during the online transaction. 7. The method according to claim 1, wherein testing the classification objects in the supervised, inductive machine learning environment further comprises:
mapping data from the test partition to the plurality of modeled action spaces; and applying a classification object associated with the particular user action against an atomic element representing the particular user action. 8. The method according to claim 1, wherein the particular user action is a login activity, a transactional activity, or a traverse activity. 9. The method according to claim 8, wherein the traverse activity comprises traversing an online financial application through an approval path for moving or transferring money. 10. A computer program product comprising at least one non-transitory computer readable medium storing instructions translatable by at least one processor to perform:
partitioning user activity data into a test partition and a train partition; mapping data from the train partition to a plurality of modeled action spaces to produce a plurality of atomic elements, wherein each of the plurality of atomic elements is associated with a particular user action; generating classification objects based on behavioral patterns extracted from the plurality of atomic elements; testing the classification objects utilizing data from the test partition; storing an array of distinct classification objects associated with the particular user action in a database; collecting real-time user activity data during an online transaction; producing a real-time atomic element representing the particular user action taken by an entity during the online transaction; applying a classification object to the real-time atomic element representing the particular user action, wherein the classification object is selected from the array of distinct classification objects stored in the database; and based at least in part on a value produced by the classification object, determining whether to pass or fail the particular user action taken by the entity during the online transaction. 11. The computer program product of claim 10, wherein the classification object fails the particular user action taken by the entity during the online transaction, wherein the particular user action taken by the entity during the online transaction involves moving or transferring money from an account, and wherein the instructions are translatable by the at least one processor to perform:
flagging the particular user action in real-time; and notifying, in real-time, a legitimate holder of the account, a financial institution servicing the account, or both. 12. The computer program product of claim 11, wherein the instructions are translatable by the at least one processor to perform:
preventing the money from being moved or transferred from the account. 13. The computer program product of claim 10, wherein the instructions are translatable by the at least one processor to perform:
mapping data from the test partition to the plurality of modeled action spaces; and applying a classification object associated with the particular user action against an atomic element representing the particular user action. 14. A system, comprising:
a behavioral analysis engine operating on a computer having access to a production database storing user activity data, wherein the behavioral analysis engine is configured to perform: in a supervised, inductive machine learning environment:
partitioning user activity data into a test partition and a train partition; a production database storing raw user activity data;
mapping data from the train partition to a plurality of modeled action spaces to produce a plurality of atomic elements, wherein each of the plurality of atomic elements is associated with a particular user action;
generating classification objects based on behavioral patterns extracted from the plurality of atomic elements;
testing the classification objects utilizing data from the test partition; and
storing an array of distinct classification objects associated with the particular user action in a database;
in a real-time scoring environment:
collecting real-time user activity data during an online transaction;
producing a real-time atomic element representing the particular user action taken by an entity during the online transaction;
applying a classification object to the real-time atomic element representing the particular user action, wherein the classification object is selected from the array of distinct classification objects stored in the database; and
based at least in part on a value produced by the classification object, determining whether to pass or fail the particular user action taken by the entity during the online transaction. 15. The system of claim 14, wherein determining whether to pass or fail the particular user action taken by the entity during the online transaction is additionally based in part on a sensitivity configuration setting. 16. The system of claim 15, wherein when the classification object fails the particular user action taken by the entity during the online transaction and the particular user action taken by the entity during the online transaction involves moving or transferring money from an account, the behavioral analysis engine is further configured to perform:
flagging the particular user action in real-time; and notifying, in real-time, a legitimate holder of the account, a financial institution servicing the account, or both. 17. The system of claim 14, wherein the behavioral analysis engine is further configured to perform:
preventing the money from being moved or transferred from the account. 18. The system of claim 14, wherein the behavioral analysis engine is further configured to perform:
mapping data from the test partition to the plurality of modeled action spaces; and applying a classification object associated with the particular user action against an atomic element representing the particular user action. 19. The system of claim 14, wherein the particular user action is a login activity, a transactional activity, or a traverse activity. 20. The system of claim 19, wherein the traverse activity comprises traversing an online financial application through an approval path for moving or transferring money. | 3,600 |
13,648 | 13,648 | 15,601,132 | 3,661 | A powertrain control system may include an engine and a controller. The controller may be configured to, responsive to a maximum difference in battery voltage values remaining less than a threshold value during a period in which a number of engine stop-start cycles exceeds a limit, enable an automatic stop-start system of the engine. | 1. A powertrain control system comprising:
an engine; and a controller configured to, responsive to a maximum difference in battery voltage values remaining less than a threshold value during a period in which a number of engine stop-start cycles exceeds a limit, enable an automatic stop-start system of the engine. 2. The powertrain control system of claim 1, wherein the controller is further configured to, responsive to a maximum difference in battery voltage values exceeding the threshold value during operation of the engine, disable the automatic stop-start system of the engine. 3. The powertrain control system of claim 2, wherein the controller is further configured to, responsive to a battery current value dropping below a low current threshold value while the engine is operating, disable the automatic stop-start system of the engine. 4. The powertrain control system of one of claim 2 or 3, wherein the controller is further configured to, responsive to disabling the automatic stop-start system of the engine, increase a low idle target speed for the engine. 5. The powertrain control system of claim 3, wherein the controller is further configured to, responsive to a maximum difference in battery voltage values remaining less than a threshold value during a time period in which a number of engine stop-start cycles exceeds a limit, and a battery current value remaining greater than the low current threshold value during the period, enable the automatic stop-start system of the engine. 6. The powertrain control system of claim 1, wherein the controller is further configured to, responsive to a maximum difference in auxiliary battery voltage values remaining less than a threshold value during a time period in which a number of engine stop-start cycles exceeds a limit, activate a smart-regeneration-charging mode. 7. The powertrain control system of claim 6, wherein the controller is further configured to, responsive to a maximum difference in battery voltage values exceeding the threshold value during operation of the engine, deactivate the smart-regeneration-charging mode. 8. The powertrain control system of claim 7, wherein the controller is further configured to, responsive to a battery current value dropping below a low current threshold value during operation of the engine, deactivate the smart-regeneration-charging mode. 9. The powertrain control system of claim 7 or 8, wherein the controller is further configured to, responsive to deactivating the smart-regeneration-charging mode, increase a low idle target speed for the engine. 10. The powertrain control system of claim 7 or 8, wherein the controller is further configured to, responsive to deactivating the smart-regeneration-charging mode, increase a target shift speed for the engine. 11. A vehicle powertrain method comprising:
by a controller, responsive to a voltage change of a battery exceeding a threshold while a current change of the battery is below a low current threshold, disabling automatic stop-start of an engine; and responsive to the voltage change exceeding the threshold while the battery current is above the low current threshold for a number of engine start cycles that exceeds a limit, enabling the automatic stop-start. 12. The method of claim 11 further including disabling the automatic stop-start responsive to the voltage change exceeding the threshold while the battery current is below the low current threshold. 13. A powertrain control system comprising:
an engine; and a controller configured to, responsive to a maximum difference in battery voltage values remaining less than a threshold value during a period and an average battery voltage within the period being less than an operating threshold in which a number of engine stop-start cycles exceeds a limit, enable an automatic stop-start system of the engine. 14. The powertrain control system of claim 13, wherein the controller is further configured to, responsive to a maximum difference in battery voltage values exceeding the threshold value while the engine is operating, disable the automatic stop-start system of the engine. 15. The powertrain control system of claim 13, wherein the controller is further configured to, responsive to a battery current value dropping below a low current threshold value while the engine is operating, disable the automatic stop-start system of the engine. | A powertrain control system may include an engine and a controller. The controller may be configured to, responsive to a maximum difference in battery voltage values remaining less than a threshold value during a period in which a number of engine stop-start cycles exceeds a limit, enable an automatic stop-start system of the engine.1. A powertrain control system comprising:
an engine; and a controller configured to, responsive to a maximum difference in battery voltage values remaining less than a threshold value during a period in which a number of engine stop-start cycles exceeds a limit, enable an automatic stop-start system of the engine. 2. The powertrain control system of claim 1, wherein the controller is further configured to, responsive to a maximum difference in battery voltage values exceeding the threshold value during operation of the engine, disable the automatic stop-start system of the engine. 3. The powertrain control system of claim 2, wherein the controller is further configured to, responsive to a battery current value dropping below a low current threshold value while the engine is operating, disable the automatic stop-start system of the engine. 4. The powertrain control system of one of claim 2 or 3, wherein the controller is further configured to, responsive to disabling the automatic stop-start system of the engine, increase a low idle target speed for the engine. 5. The powertrain control system of claim 3, wherein the controller is further configured to, responsive to a maximum difference in battery voltage values remaining less than a threshold value during a time period in which a number of engine stop-start cycles exceeds a limit, and a battery current value remaining greater than the low current threshold value during the period, enable the automatic stop-start system of the engine. 6. The powertrain control system of claim 1, wherein the controller is further configured to, responsive to a maximum difference in auxiliary battery voltage values remaining less than a threshold value during a time period in which a number of engine stop-start cycles exceeds a limit, activate a smart-regeneration-charging mode. 7. The powertrain control system of claim 6, wherein the controller is further configured to, responsive to a maximum difference in battery voltage values exceeding the threshold value during operation of the engine, deactivate the smart-regeneration-charging mode. 8. The powertrain control system of claim 7, wherein the controller is further configured to, responsive to a battery current value dropping below a low current threshold value during operation of the engine, deactivate the smart-regeneration-charging mode. 9. The powertrain control system of claim 7 or 8, wherein the controller is further configured to, responsive to deactivating the smart-regeneration-charging mode, increase a low idle target speed for the engine. 10. The powertrain control system of claim 7 or 8, wherein the controller is further configured to, responsive to deactivating the smart-regeneration-charging mode, increase a target shift speed for the engine. 11. A vehicle powertrain method comprising:
by a controller, responsive to a voltage change of a battery exceeding a threshold while a current change of the battery is below a low current threshold, disabling automatic stop-start of an engine; and responsive to the voltage change exceeding the threshold while the battery current is above the low current threshold for a number of engine start cycles that exceeds a limit, enabling the automatic stop-start. 12. The method of claim 11 further including disabling the automatic stop-start responsive to the voltage change exceeding the threshold while the battery current is below the low current threshold. 13. A powertrain control system comprising:
an engine; and a controller configured to, responsive to a maximum difference in battery voltage values remaining less than a threshold value during a period and an average battery voltage within the period being less than an operating threshold in which a number of engine stop-start cycles exceeds a limit, enable an automatic stop-start system of the engine. 14. The powertrain control system of claim 13, wherein the controller is further configured to, responsive to a maximum difference in battery voltage values exceeding the threshold value while the engine is operating, disable the automatic stop-start system of the engine. 15. The powertrain control system of claim 13, wherein the controller is further configured to, responsive to a battery current value dropping below a low current threshold value while the engine is operating, disable the automatic stop-start system of the engine. | 3,600 |
13,649 | 13,649 | 14,515,492 | 3,688 | Aspects of the disclosure related to configuration, delivery, and/or consumption of commercial incentives for products and/or services. In certain aspects, promotional content that may be related to a commercial incentive can be delivered and/or consumed. | 1. A method, comprising:
receiving, at a system comprising at least one processor and at least one memory device, incentive information from a plurality of sources, the incentive information comprising information indicative of financial incentives associated with respective products; configuring, at the system, a storage structure comprising a plurality of records representative of at least a portion of the incentive information; determining, at the system, a benefit record that matches at least one of the plurality of records; and updating, at the system, at least one of the plurality of sources based at least in part on at least a portion of the storage structure. 2. The method of claim 1, wherein a record of the plurality of records comprises a first information object indicative of an identifier for a product, a second information object indicative of the product, a third information object indicative of a financial incentive associated with the product, a fourth information object indicative of an out-of-pocket price for the product, and a fifth information object indicative of an incentivized price for the object. 3. The method of claim 1, wherein the incentive information comprises second information indicative of financial incentives associated with respective services. 4. The method of claim 1, wherein the incentive information comprises information indicative of a sale or discounted prospective transaction, wherein one or more of the sale or the discounted prospective transaction are publically announced. 5. The method of claim 1, wherein the incentive information comprises information indicative of a sale or discounted prospective transaction, wherein one or more of the sale or the discounted prospective transaction are non-publically announced. 6. The method of claim 1, wherein the benefit record is representative of one or more of a coupon or a discount. 7. The method of claim 6, wherein the determining comprises determining at least one of the coupon or the discount that matched the at least one of the plurality of records, thereby yielding a satisfactory transaction value. 8. The method of claim 6, wherein the identifying comprises identifying at least one of the coupon or the discount that matched the at least one of the plurality of records, thereby yielding a maximal transaction value. 9. A system, comprising:
at least one memory device having instructions encoded thereon; and at least one processor functionally coupled to the at least one memory and configured, by the instructions,
to receive incentive information from a plurality of sources, the incentive information comprising information indicative of financial incentives associated with respective products;
to configure a storage structure comprising a plurality of records representative of at least a portion of the incentive information;
to determine a benefit record that matches at least one of the plurality of records; and
to update at least one of the plurality of sources based at least in part on at least a portion of the storage structure. 10. The system of claim 9, wherein a record of the plurality of records comprises a first information object indicative of an identifier for a product, a second information object indicative of the product, a third information object indicative of a financial incentive associated with the product, a fourth information object indicative of an out-of-pocket price for the product, and a fifth information object indicative of an incentivized price for the object. 11. The system of claim 9, wherein the incentive information comprises second information indicative of financial incentives associated with respective services. 12. The system of claim 9, wherein the incentive information comprises information indicative of a sale or discounted prospective transaction, wherein one or more of the sale or the discounted prospective transaction are publically announced. 13. The system of claim 9, wherein the incentive information comprises information indicative of a sale or discounted prospective transaction, wherein one or more of the sale or the discounted prospective transaction are non-publically announced. 14. The system of claim 9, wherein the benefit record is representative of one or more of a coupon or a discount. 15. The system of claim 14, wherein the at least one processor is further configured to determine at least one of the coupon or the discount that matched the at least one of the plurality of records, thereby yielding a satisfactory transaction value. 16. The system of claim 14, wherein the at least one processor is further configured to determine at least one of the coupon or the discount that matched the at least one of the plurality of records, thereby yielding a maximal transaction value. 17. A method, comprising:
receiving, by a computing device, a request for incentive information associated with a product, the incentive information being indicative of a financial incentive associated with the product; accessing, by the computing device, at least the incentive information from an incentive repository; and conveying, by the computing device, at least the incentive information that is accessed. 18. The method of claim 17, further comprising configuring, at the computing device, a customized list based at least in part on at least the incentive information that is conveyed. 19. The method of claim 18, further comprising conveying advertisement based at least in part on the customized list. 20. The method of claim 17, wherein the conveying comprises rendering at least the incentive information. 21. A computing device, comprising:
at least one memory device having instructions encoded thereon; and at least one processor functionally coupled to the at least one memory and configured, by the instructions,
to receive a request for incentive information associated with a product, the incentive information being indicative of a financial incentive associated with the product;
to access at least the incentive information from an incentive repository; and
to present at least the accessed incentive information. 22. The computing device of claim 21, wherein the at least one processor is further configured to configure a customized list based at least in part on at least the presented incentive information. 23. The computing device of claim 21, wherein the at least one processor is further configured to present promotional content based at least in part on the customized list. | Aspects of the disclosure related to configuration, delivery, and/or consumption of commercial incentives for products and/or services. In certain aspects, promotional content that may be related to a commercial incentive can be delivered and/or consumed.1. A method, comprising:
receiving, at a system comprising at least one processor and at least one memory device, incentive information from a plurality of sources, the incentive information comprising information indicative of financial incentives associated with respective products; configuring, at the system, a storage structure comprising a plurality of records representative of at least a portion of the incentive information; determining, at the system, a benefit record that matches at least one of the plurality of records; and updating, at the system, at least one of the plurality of sources based at least in part on at least a portion of the storage structure. 2. The method of claim 1, wherein a record of the plurality of records comprises a first information object indicative of an identifier for a product, a second information object indicative of the product, a third information object indicative of a financial incentive associated with the product, a fourth information object indicative of an out-of-pocket price for the product, and a fifth information object indicative of an incentivized price for the object. 3. The method of claim 1, wherein the incentive information comprises second information indicative of financial incentives associated with respective services. 4. The method of claim 1, wherein the incentive information comprises information indicative of a sale or discounted prospective transaction, wherein one or more of the sale or the discounted prospective transaction are publically announced. 5. The method of claim 1, wherein the incentive information comprises information indicative of a sale or discounted prospective transaction, wherein one or more of the sale or the discounted prospective transaction are non-publically announced. 6. The method of claim 1, wherein the benefit record is representative of one or more of a coupon or a discount. 7. The method of claim 6, wherein the determining comprises determining at least one of the coupon or the discount that matched the at least one of the plurality of records, thereby yielding a satisfactory transaction value. 8. The method of claim 6, wherein the identifying comprises identifying at least one of the coupon or the discount that matched the at least one of the plurality of records, thereby yielding a maximal transaction value. 9. A system, comprising:
at least one memory device having instructions encoded thereon; and at least one processor functionally coupled to the at least one memory and configured, by the instructions,
to receive incentive information from a plurality of sources, the incentive information comprising information indicative of financial incentives associated with respective products;
to configure a storage structure comprising a plurality of records representative of at least a portion of the incentive information;
to determine a benefit record that matches at least one of the plurality of records; and
to update at least one of the plurality of sources based at least in part on at least a portion of the storage structure. 10. The system of claim 9, wherein a record of the plurality of records comprises a first information object indicative of an identifier for a product, a second information object indicative of the product, a third information object indicative of a financial incentive associated with the product, a fourth information object indicative of an out-of-pocket price for the product, and a fifth information object indicative of an incentivized price for the object. 11. The system of claim 9, wherein the incentive information comprises second information indicative of financial incentives associated with respective services. 12. The system of claim 9, wherein the incentive information comprises information indicative of a sale or discounted prospective transaction, wherein one or more of the sale or the discounted prospective transaction are publically announced. 13. The system of claim 9, wherein the incentive information comprises information indicative of a sale or discounted prospective transaction, wherein one or more of the sale or the discounted prospective transaction are non-publically announced. 14. The system of claim 9, wherein the benefit record is representative of one or more of a coupon or a discount. 15. The system of claim 14, wherein the at least one processor is further configured to determine at least one of the coupon or the discount that matched the at least one of the plurality of records, thereby yielding a satisfactory transaction value. 16. The system of claim 14, wherein the at least one processor is further configured to determine at least one of the coupon or the discount that matched the at least one of the plurality of records, thereby yielding a maximal transaction value. 17. A method, comprising:
receiving, by a computing device, a request for incentive information associated with a product, the incentive information being indicative of a financial incentive associated with the product; accessing, by the computing device, at least the incentive information from an incentive repository; and conveying, by the computing device, at least the incentive information that is accessed. 18. The method of claim 17, further comprising configuring, at the computing device, a customized list based at least in part on at least the incentive information that is conveyed. 19. The method of claim 18, further comprising conveying advertisement based at least in part on the customized list. 20. The method of claim 17, wherein the conveying comprises rendering at least the incentive information. 21. A computing device, comprising:
at least one memory device having instructions encoded thereon; and at least one processor functionally coupled to the at least one memory and configured, by the instructions,
to receive a request for incentive information associated with a product, the incentive information being indicative of a financial incentive associated with the product;
to access at least the incentive information from an incentive repository; and
to present at least the accessed incentive information. 22. The computing device of claim 21, wherein the at least one processor is further configured to configure a customized list based at least in part on at least the presented incentive information. 23. The computing device of claim 21, wherein the at least one processor is further configured to present promotional content based at least in part on the customized list. | 3,600 |
13,650 | 13,650 | 14,487,598 | 3,629 | Mobile collection and vetting of user supplied information is described. The systems, techniques, devices, methods, and approaches described herein can be used to obtain, validate, and vet information, such as customs information, in a mobile environment. In embodiments, methods comprise receiving information input via a mobile device. The information is encapsulated by an intermediate to escort the information through a firewall to the database. In response to vetting the information to determine if it meets one or more criteria, the method involves creating a record associated with a unique identifier, information that bio-identifies a user, or an indication of a determination that results from the vetting. In this embodiment, the method includes generating an electronic receipt for communication to the mobile device, the electronic receipt including the unique identifier. | 1. A method comprising:
receiving by a database information input via a mobile device, the information being encapsulated by an intermediate to escort the information through a firewall to the database; responsive to vetting the information to determine if it meets one or more criteria, creating a record associated with a unique identifier, information that bio-identifies the user, or an indication of a determination that results from the vetting; and generating an electronic receipt for communication to the mobile device, the electronic receipt including the unique identifier. 2. The method according to claim 1, wherein the electronic receipt further comprises information that bio-identifies the user and at least another portion of the information. 3. The method according to claim 1, further comprising communicating to the intermediate the electronic receipt for reception by the mobile device. 4. The method of claim 3, further comprising receiving a query for the indication based at least partially on the unique identifier. 5. The method according to claim 1, wherein information comprises one or more of customs information associated with the user, customs information associated with a person in the user's travel party, or information that is useable to bio-identify at least one of the user or a person in the user's travel party. 6. The method according to claim 5, wherein the electronic receipt comprises the unique identifier, an image of the user, and the user's name. 7. The method according to claim 1, wherein the method implements public key infrastructure (PKI) for communication of the electronic receipt. 8. The method according to claim 1, wherein the unique identifier comprises a machine readable identifier that is usable to query the database for the indication for output on a display included in the mobile device. 9. The method according to claim 1, wherein vetting is not performed until a vehicle identified in the information is determined to have physically reached a territory to which the user has traveled. 10. The method of claim 9, further comprising performing a determination by querying a manifest to make the determination that the vehicle physically reached the territory. 11. The method according to claim 1, wherein information is formatted in extensible markup language (XML). 12. The method of claim 1, wherein the information comprises information associated with one or more people included in the user's travel party. 13. The method of claim 1, wherein the record includes a unique device identifier associated with the mobile device. 14. The method of claim 13, wherein the unique device identifier is a subscriber identification module (SIM) card serial number. 15. The method of claim 1, further comprising operating a man-trap device that is configured to permit the user to exit a customs area based on one or more of the information that bio-identifies the user or the unique identifier that comprises a machine readable identifier. 16. The method of claim 1, wherein the receiving is restricted to a predetermined time before a vehicle is expected to physically reach a territory to which the user has traveled, the time being defined in a manifest associated with the database. 17. The method of claim 1, wherein the record further comprises one or more of an identifier associated with a computing system implemented by the intermediary to convey the information, an identifier of the mobile device, a session identifier, or a combination thereof. 18. One or more tangible computer-readable storage media embodying computer-readable instructions which are executable by a mobile device to:
collect information based on user input or information available to the mobile device; obtain bio-identifiable information associated with the information, the combination of the information and the bio-identifiable information being formed into customs information suitable for communication to an intermediate that is web-enabled; generate for output on a display include in the mobile device one or more of an electronic receipt, a unique identifier of a record at least temporarily maintained in a database by an authorization authority, bio-identifiable information, a name included in the information, or at least a portion of the customs information responsive to receipt of the electronic receipt generated by the authorization authority and communicated to the mobile device via the intermediate. 19. The one or more computer-readable storage media of claim 18, wherein the bio-identifiable information comprises one or more of an image of a user identified in the customs information, an image of a person in the user's travel party, or a fingerprint of the user. 20. The one or more computer-readable storage media of claim 18, wherein collection of information comprises collection of user input that provides the information, collection of information from an application enabled on the mobile device, or information obtained from a web-enabled third party provider. 21. The one or more computer-readable storage media of claim 18, wherein the instructions are further configured to encrypt the customs information for communication to the intermediate. 22. The one or more computer-readable storage media of claim 18, wherein the custom information is provided in extensible mark-up language (XML) in one or more related data packets. 23. The one or more computer-readable storage media of claim 18, wherein the instructions are configured to output a machine readable code, the image of the user, and the user's name in human readable form. 24. The one or more computer-readable storage media of claim 18, wherein the instructions are further configured to generate an output directing the user to a particular physical location in a facility to which the user arrived. 25. The one or more computer-readable storage media of claim 18, wherein the output displayed on the display included in the mobile device is useable to exit a facility to which the user has arrived via a non-human operated man-trap device. 26. The one or more computer-readable storage media of claim 18, wherein the instructions are further configured to generate an output for display on a display included in the mobile device an identifier of one or more pieces of luggage associated with the user or a person in the user's travel party. 27. One or more tangible computer-readable storage media embodying computer-readable instructions which are executable by a computer system to:
obtain information from a packet configured to allow the packet to pass through a firewall, the packet including the information that would otherwise be blocked if not included in the packet; vet the information to determine if at least a portion of the information matches information in a manifest maintained in memory associated with the computing system; generate a record in memory associated with the computing system, the record including a unique identifier and at least a portion of the information includes an image of a person associated with the information and an indication of the vetting determination; and communicate a machine readable indication of the determination with an image contained in the information to an intermediate for communication to a mobile device from which the information was obtained. | Mobile collection and vetting of user supplied information is described. The systems, techniques, devices, methods, and approaches described herein can be used to obtain, validate, and vet information, such as customs information, in a mobile environment. In embodiments, methods comprise receiving information input via a mobile device. The information is encapsulated by an intermediate to escort the information through a firewall to the database. In response to vetting the information to determine if it meets one or more criteria, the method involves creating a record associated with a unique identifier, information that bio-identifies a user, or an indication of a determination that results from the vetting. In this embodiment, the method includes generating an electronic receipt for communication to the mobile device, the electronic receipt including the unique identifier.1. A method comprising:
receiving by a database information input via a mobile device, the information being encapsulated by an intermediate to escort the information through a firewall to the database; responsive to vetting the information to determine if it meets one or more criteria, creating a record associated with a unique identifier, information that bio-identifies the user, or an indication of a determination that results from the vetting; and generating an electronic receipt for communication to the mobile device, the electronic receipt including the unique identifier. 2. The method according to claim 1, wherein the electronic receipt further comprises information that bio-identifies the user and at least another portion of the information. 3. The method according to claim 1, further comprising communicating to the intermediate the electronic receipt for reception by the mobile device. 4. The method of claim 3, further comprising receiving a query for the indication based at least partially on the unique identifier. 5. The method according to claim 1, wherein information comprises one or more of customs information associated with the user, customs information associated with a person in the user's travel party, or information that is useable to bio-identify at least one of the user or a person in the user's travel party. 6. The method according to claim 5, wherein the electronic receipt comprises the unique identifier, an image of the user, and the user's name. 7. The method according to claim 1, wherein the method implements public key infrastructure (PKI) for communication of the electronic receipt. 8. The method according to claim 1, wherein the unique identifier comprises a machine readable identifier that is usable to query the database for the indication for output on a display included in the mobile device. 9. The method according to claim 1, wherein vetting is not performed until a vehicle identified in the information is determined to have physically reached a territory to which the user has traveled. 10. The method of claim 9, further comprising performing a determination by querying a manifest to make the determination that the vehicle physically reached the territory. 11. The method according to claim 1, wherein information is formatted in extensible markup language (XML). 12. The method of claim 1, wherein the information comprises information associated with one or more people included in the user's travel party. 13. The method of claim 1, wherein the record includes a unique device identifier associated with the mobile device. 14. The method of claim 13, wherein the unique device identifier is a subscriber identification module (SIM) card serial number. 15. The method of claim 1, further comprising operating a man-trap device that is configured to permit the user to exit a customs area based on one or more of the information that bio-identifies the user or the unique identifier that comprises a machine readable identifier. 16. The method of claim 1, wherein the receiving is restricted to a predetermined time before a vehicle is expected to physically reach a territory to which the user has traveled, the time being defined in a manifest associated with the database. 17. The method of claim 1, wherein the record further comprises one or more of an identifier associated with a computing system implemented by the intermediary to convey the information, an identifier of the mobile device, a session identifier, or a combination thereof. 18. One or more tangible computer-readable storage media embodying computer-readable instructions which are executable by a mobile device to:
collect information based on user input or information available to the mobile device; obtain bio-identifiable information associated with the information, the combination of the information and the bio-identifiable information being formed into customs information suitable for communication to an intermediate that is web-enabled; generate for output on a display include in the mobile device one or more of an electronic receipt, a unique identifier of a record at least temporarily maintained in a database by an authorization authority, bio-identifiable information, a name included in the information, or at least a portion of the customs information responsive to receipt of the electronic receipt generated by the authorization authority and communicated to the mobile device via the intermediate. 19. The one or more computer-readable storage media of claim 18, wherein the bio-identifiable information comprises one or more of an image of a user identified in the customs information, an image of a person in the user's travel party, or a fingerprint of the user. 20. The one or more computer-readable storage media of claim 18, wherein collection of information comprises collection of user input that provides the information, collection of information from an application enabled on the mobile device, or information obtained from a web-enabled third party provider. 21. The one or more computer-readable storage media of claim 18, wherein the instructions are further configured to encrypt the customs information for communication to the intermediate. 22. The one or more computer-readable storage media of claim 18, wherein the custom information is provided in extensible mark-up language (XML) in one or more related data packets. 23. The one or more computer-readable storage media of claim 18, wherein the instructions are configured to output a machine readable code, the image of the user, and the user's name in human readable form. 24. The one or more computer-readable storage media of claim 18, wherein the instructions are further configured to generate an output directing the user to a particular physical location in a facility to which the user arrived. 25. The one or more computer-readable storage media of claim 18, wherein the output displayed on the display included in the mobile device is useable to exit a facility to which the user has arrived via a non-human operated man-trap device. 26. The one or more computer-readable storage media of claim 18, wherein the instructions are further configured to generate an output for display on a display included in the mobile device an identifier of one or more pieces of luggage associated with the user or a person in the user's travel party. 27. One or more tangible computer-readable storage media embodying computer-readable instructions which are executable by a computer system to:
obtain information from a packet configured to allow the packet to pass through a firewall, the packet including the information that would otherwise be blocked if not included in the packet; vet the information to determine if at least a portion of the information matches information in a manifest maintained in memory associated with the computing system; generate a record in memory associated with the computing system, the record including a unique identifier and at least a portion of the information includes an image of a person associated with the information and an indication of the vetting determination; and communicate a machine readable indication of the determination with an image contained in the information to an intermediate for communication to a mobile device from which the information was obtained. | 3,600 |
13,651 | 13,651 | 11,354,192 | 3,629 | A system (and method, and method for deploying computing infrastructure) for planning for development of at least one services solution offering, includes a generating unit that generates an action plan for at least one portion of a development lifecycle of the services solution offering. | 1. A method of planning for development of at least one services solution offering, the method comprising:
generating an action plan for at least one portion of a development lifecycle of the services solution offering. 2. The method according to claim 1, further comprising:
executing the action plan for said at least one portion of the development lifecycle of the services solution offering. 3. The method according to claim 1, wherein said at least one portion comprises:
at least one stage of development maturity, wherein said development maturity includes at least one of a completed development lifecycle, a partially-completed development lifecycle, and an un-started or proposed development lifecycle. 4. The method according to claim 1, wherein said action plan includes at least one of:
delaying, accelerating, decelerating, restarting, stopping, selling, licensing, downsizing, upsizing, outsourcing, changing sourcing, altering a nature of deliverables, and retooling said at least one portion of the development lifecycle of the services solution offering. 5. The method according to claim 1, wherein said action plan includes:
an incremental action plan. 6. The method according to claim 1, wherein said action plan is generated based on at least one of:
risk, uncertainty, expected/predicted cost, expected/predicted revenue, expected/predicted profit, probability of meeting a budget, probability of meeting a revenue target, and probability of meeting a profit target. 7. The method according to claim 1, wherein said generating comprises:
determining a value of said services solution offering as a function of time; populating a mathematical decision-making model based on said determined value; and determining a point in time to at least one of:
delay, accelerate, decelerate, restart, stop, sell, license, downsize, upsize, outsource, change sourcing, alter a nature of deliverables, and retool said at least one portion of the development lifecycle of the services solution offering. 8. The method according to claim 7, wherein said generating further comprises:
updating said determination of the value of the services solution offering after a predetermined period of time has elapsed; re-populating said mathematical decision-making model based on said updated value; and determining another point in time to at least one of:
delay, accelerate, decelerate, restart, stop, sell, license, downsize, upsize, outsource, change sourcing, alter a nature of deliverables, and retool said at least one portion of the development lifecycle of the services solution offering. 9. The method according to claim 1, wherein said generating comprises:
determining at least one alternative development path of said services solution offering; identifying at least one activity within each alternative development path; calculating a development cost of each alternative development path and activity; determining a value generated by each activity; and determining a best development path based on at least one of said development cost and said generated value. 10. The method according to claim 9, wherein said best development path includes at least one of:
delaying, accelerating, decelerating, restarting, stopping, selling, licensing, downsizing, upsizing, outsourcing, changing sourcing, altering a nature of deliverables, and retooling the at least one portion of the development lifecycle of the services solution offering. 11. A system for planning for development of at least one services solution offering, the system comprising:
a generating unit that generates an action plan for at least one portion of a development lifecycle of the services solution offering. 12. The system according to claim 11, wherein said portion comprises at least one of:
a completed development lifecycle, a partially completed development lifecycle, and an un-started or proposed development lifecycle, and wherein said action plan includes at least one of:
delaying, accelerating, decelerating, restarting, stopping, selling, licensing, downsizing, upsizing, outsourcing, changing sourcing, altering a nature of deliverables, and retooling said portion of the development lifecycle of the services solution offering. 13. The system according to claim 11, wherein said generating unit generates said action plan based on at least one of:
risk, uncertainty, expected/predicted cost, expected/predicted revenue, expected/predicted profit, probability of meeting a budget, probability of meeting a revenue target, and probability of meeting a profit target. 14. The system according to claim 11, wherein said generating unit comprises:
a first determining unit that determines a value of said services solution offering as a function of time; and a mathematical decision-making unit that receives as input the determined value and determines a point in time to at least one of:
delay, accelerate, decelerate, restart, stop, sell, license, downsize, upsize, outsource, change sourcing, alter a nature of deliverables, and retool said at least one portion of the development lifecycle of the services solution offering. 15. The system according to claim 11, wherein said generating unit comprises:
an updating unit that updates the value of the services solution offering after a predetermined period of time has elapsed. 16. The system according to claim 11, wherein said generating unit comprises:
a first determining unit that determines at least one alternative development path of said services solution offering; an identifying unit that identifies at least one activity within each alternative development path; a calculating unit that calculates a development cost of each alternative development path and activity; a second determining unit that determines a value generated by each activity; and a third determining unit that determines a best development path based on at least one of said development cost and said generated value. 17. The method according to claim 16, wherein said best development path includes at least one of:
delaying, accelerating, decelerating, restarting, stopping, selling, licensing, downsizing, upsizing, outsourcing, changing sourcing, altering a nature of deliverables, and retooling the at least one portion of the development lifecycle of the services solution offering. 18. A system for planning for development of at least one services solution offering, the system comprising:
means for generating an action plan for at least one portion of a development lifecycle of the services solution offering, wherein said means for generating includes means for determining a point in time to at least one of:
delay, accelerate, decelerate, restart, stop, sell, license, downsize, upsize, outsource, change sourcing, alter a nature of deliverables, and retool said at least one portion of the development lifecycle of the services solution offering. 19. A method of deploying computing infrastructure in which recordable, computer-readable code is integrated into a computing system, and combines with said computing system to perform the method according to claim 1. 20. A signal-bearing medium tangibly embodying a program of recordable, machine-readable instructions executable by a digital processing apparatus to perform the method according to claim 1. | A system (and method, and method for deploying computing infrastructure) for planning for development of at least one services solution offering, includes a generating unit that generates an action plan for at least one portion of a development lifecycle of the services solution offering.1. A method of planning for development of at least one services solution offering, the method comprising:
generating an action plan for at least one portion of a development lifecycle of the services solution offering. 2. The method according to claim 1, further comprising:
executing the action plan for said at least one portion of the development lifecycle of the services solution offering. 3. The method according to claim 1, wherein said at least one portion comprises:
at least one stage of development maturity, wherein said development maturity includes at least one of a completed development lifecycle, a partially-completed development lifecycle, and an un-started or proposed development lifecycle. 4. The method according to claim 1, wherein said action plan includes at least one of:
delaying, accelerating, decelerating, restarting, stopping, selling, licensing, downsizing, upsizing, outsourcing, changing sourcing, altering a nature of deliverables, and retooling said at least one portion of the development lifecycle of the services solution offering. 5. The method according to claim 1, wherein said action plan includes:
an incremental action plan. 6. The method according to claim 1, wherein said action plan is generated based on at least one of:
risk, uncertainty, expected/predicted cost, expected/predicted revenue, expected/predicted profit, probability of meeting a budget, probability of meeting a revenue target, and probability of meeting a profit target. 7. The method according to claim 1, wherein said generating comprises:
determining a value of said services solution offering as a function of time; populating a mathematical decision-making model based on said determined value; and determining a point in time to at least one of:
delay, accelerate, decelerate, restart, stop, sell, license, downsize, upsize, outsource, change sourcing, alter a nature of deliverables, and retool said at least one portion of the development lifecycle of the services solution offering. 8. The method according to claim 7, wherein said generating further comprises:
updating said determination of the value of the services solution offering after a predetermined period of time has elapsed; re-populating said mathematical decision-making model based on said updated value; and determining another point in time to at least one of:
delay, accelerate, decelerate, restart, stop, sell, license, downsize, upsize, outsource, change sourcing, alter a nature of deliverables, and retool said at least one portion of the development lifecycle of the services solution offering. 9. The method according to claim 1, wherein said generating comprises:
determining at least one alternative development path of said services solution offering; identifying at least one activity within each alternative development path; calculating a development cost of each alternative development path and activity; determining a value generated by each activity; and determining a best development path based on at least one of said development cost and said generated value. 10. The method according to claim 9, wherein said best development path includes at least one of:
delaying, accelerating, decelerating, restarting, stopping, selling, licensing, downsizing, upsizing, outsourcing, changing sourcing, altering a nature of deliverables, and retooling the at least one portion of the development lifecycle of the services solution offering. 11. A system for planning for development of at least one services solution offering, the system comprising:
a generating unit that generates an action plan for at least one portion of a development lifecycle of the services solution offering. 12. The system according to claim 11, wherein said portion comprises at least one of:
a completed development lifecycle, a partially completed development lifecycle, and an un-started or proposed development lifecycle, and wherein said action plan includes at least one of:
delaying, accelerating, decelerating, restarting, stopping, selling, licensing, downsizing, upsizing, outsourcing, changing sourcing, altering a nature of deliverables, and retooling said portion of the development lifecycle of the services solution offering. 13. The system according to claim 11, wherein said generating unit generates said action plan based on at least one of:
risk, uncertainty, expected/predicted cost, expected/predicted revenue, expected/predicted profit, probability of meeting a budget, probability of meeting a revenue target, and probability of meeting a profit target. 14. The system according to claim 11, wherein said generating unit comprises:
a first determining unit that determines a value of said services solution offering as a function of time; and a mathematical decision-making unit that receives as input the determined value and determines a point in time to at least one of:
delay, accelerate, decelerate, restart, stop, sell, license, downsize, upsize, outsource, change sourcing, alter a nature of deliverables, and retool said at least one portion of the development lifecycle of the services solution offering. 15. The system according to claim 11, wherein said generating unit comprises:
an updating unit that updates the value of the services solution offering after a predetermined period of time has elapsed. 16. The system according to claim 11, wherein said generating unit comprises:
a first determining unit that determines at least one alternative development path of said services solution offering; an identifying unit that identifies at least one activity within each alternative development path; a calculating unit that calculates a development cost of each alternative development path and activity; a second determining unit that determines a value generated by each activity; and a third determining unit that determines a best development path based on at least one of said development cost and said generated value. 17. The method according to claim 16, wherein said best development path includes at least one of:
delaying, accelerating, decelerating, restarting, stopping, selling, licensing, downsizing, upsizing, outsourcing, changing sourcing, altering a nature of deliverables, and retooling the at least one portion of the development lifecycle of the services solution offering. 18. A system for planning for development of at least one services solution offering, the system comprising:
means for generating an action plan for at least one portion of a development lifecycle of the services solution offering, wherein said means for generating includes means for determining a point in time to at least one of:
delay, accelerate, decelerate, restart, stop, sell, license, downsize, upsize, outsource, change sourcing, alter a nature of deliverables, and retool said at least one portion of the development lifecycle of the services solution offering. 19. A method of deploying computing infrastructure in which recordable, computer-readable code is integrated into a computing system, and combines with said computing system to perform the method according to claim 1. 20. A signal-bearing medium tangibly embodying a program of recordable, machine-readable instructions executable by a digital processing apparatus to perform the method according to claim 1. | 3,600 |
13,652 | 13,652 | 15,028,287 | 3,654 | Disclosed is a chain element ( 2 ), in particular for a power transmission chain of a chain drive, made of a carbon-containing material, especially steel, characterized by a core layer ( 5 ) that has a ferritic matrix structure including at least one hard phase that is distributed therein, and a hardened peripheral layer ( 6 ) that has a martensitic structure. | 1-10. (canceled) 11: A chain element made of a carbon-containing material, the chain element comprising:
a core layer having a structure made of a ferritic matrix with at least one hard phase distributed therein; and a hardened peripheral layer having a martensitic structure. 12: The chain element as recited in claim 11 wherein the martensitic structure of the hardened peripheral layer includes martensite. 13: The chain element as recited in claim 11 wherein the martensitic structure of the hardened peripheral layer consists of martensite. 14: The chain element as recited in claim 11 wherein the hardened peripheral layer is formed with the aid of a martensitic transformation of at least the areas of the chain element near the surface. 15: The chain element as recited in claim 11 wherein the hard phase distributed in the core layer includes martensite. 16: The chain element as recited in claim 11 wherein the hard phase distributed in the core layer consists of martensite. 17: The chain element as recited in claim 11 wherein the hardened peripheral layer has a hardness of 600 HV to 1,800 HV. 18: The chain element as recited in claim 17 wherein the hardened peripheral layer has a hardness of more than 1,000 HV. 19: The chain element as recited in claim 11 wherein the chain element is a chain link or a chain sleeve or a chain stud. 21: The chain element as recited in claim 11 wherein the carbon-containing material is steel. 22: A transmission chain of a chain drive comprising the chain element as recited in claim 11. 23: A method for manufacturing a chain element made of a carbon-containing material, the chain element including a core layer having a structure made of a ferritic matrix with at least one hard phase distributed therein, and a hardened peripheral layer having a martensitic structure, the method comprising:
providing a chain element made of a carbon-containing material; heating the chain element to and holding the chain element at a temperature above the austenitization temperature in such a way that a uniform austenite phase is formed; carrying out at least one measure for introducing carbon into areas of the chain element near the surface; and quenching the chain element in such a way that a core layer is formed, the core element having a structure made of a ferritic matrix with at least one hard phase distributed therein and a hardened peripheral layer having a martensitic structure. 24: The method as recited in claim 23 wherein the chain element is heated to a temperature in a range between 830° C. and 1,000° C. 25: The method as recited in claim 24 wherein the chain element is heated to a temperature above 830° C. 26: The method as recited in claim 23 wherein the chain element is held at the temperature above the austenitization temperature for 10 to 60 minutes. 27: The method as recited in claim 23 wherein the chain element is quenched down to a temperature in the range between 0° C. and 400° C. 28: The method as recited in claim 27 wherein the chain element is quenched down to a temperature in the range between 25° C. and 300° C. | Disclosed is a chain element ( 2 ), in particular for a power transmission chain of a chain drive, made of a carbon-containing material, especially steel, characterized by a core layer ( 5 ) that has a ferritic matrix structure including at least one hard phase that is distributed therein, and a hardened peripheral layer ( 6 ) that has a martensitic structure.1-10. (canceled) 11: A chain element made of a carbon-containing material, the chain element comprising:
a core layer having a structure made of a ferritic matrix with at least one hard phase distributed therein; and a hardened peripheral layer having a martensitic structure. 12: The chain element as recited in claim 11 wherein the martensitic structure of the hardened peripheral layer includes martensite. 13: The chain element as recited in claim 11 wherein the martensitic structure of the hardened peripheral layer consists of martensite. 14: The chain element as recited in claim 11 wherein the hardened peripheral layer is formed with the aid of a martensitic transformation of at least the areas of the chain element near the surface. 15: The chain element as recited in claim 11 wherein the hard phase distributed in the core layer includes martensite. 16: The chain element as recited in claim 11 wherein the hard phase distributed in the core layer consists of martensite. 17: The chain element as recited in claim 11 wherein the hardened peripheral layer has a hardness of 600 HV to 1,800 HV. 18: The chain element as recited in claim 17 wherein the hardened peripheral layer has a hardness of more than 1,000 HV. 19: The chain element as recited in claim 11 wherein the chain element is a chain link or a chain sleeve or a chain stud. 21: The chain element as recited in claim 11 wherein the carbon-containing material is steel. 22: A transmission chain of a chain drive comprising the chain element as recited in claim 11. 23: A method for manufacturing a chain element made of a carbon-containing material, the chain element including a core layer having a structure made of a ferritic matrix with at least one hard phase distributed therein, and a hardened peripheral layer having a martensitic structure, the method comprising:
providing a chain element made of a carbon-containing material; heating the chain element to and holding the chain element at a temperature above the austenitization temperature in such a way that a uniform austenite phase is formed; carrying out at least one measure for introducing carbon into areas of the chain element near the surface; and quenching the chain element in such a way that a core layer is formed, the core element having a structure made of a ferritic matrix with at least one hard phase distributed therein and a hardened peripheral layer having a martensitic structure. 24: The method as recited in claim 23 wherein the chain element is heated to a temperature in a range between 830° C. and 1,000° C. 25: The method as recited in claim 24 wherein the chain element is heated to a temperature above 830° C. 26: The method as recited in claim 23 wherein the chain element is held at the temperature above the austenitization temperature for 10 to 60 minutes. 27: The method as recited in claim 23 wherein the chain element is quenched down to a temperature in the range between 0° C. and 400° C. 28: The method as recited in claim 27 wherein the chain element is quenched down to a temperature in the range between 25° C. and 300° C. | 3,600 |
13,653 | 13,653 | 14,768,280 | 3,672 | A liner ( 18 ) for a shaped-charge ( 10 ) that is compressively formed from a mixture of powdered metal, powdered metal binder, and a selected quantity of nanoparticle material, is used to achieve improved penetration depths during perforation of a wellbore. Exemplary nanoparticles include lead, tin, copper, molybdenum, etc. Such nanoparticles increase the density, sound speed, or acoustic impedance of the liner. In another embodiment, the added nanoparticles comprise reactive materials which, after penetration into the formation, cause secondary reactions in the perforations. | 1. A method for forming a liner for use in a shaped-charge comprising:
mixing powdered metal, powdered metal binder, and a selected amount of nanoparticle material, to create a mixture; and compressively forming the mixture into a substantially conical rigid body. 2. The method of claim 1, wherein the nanoparticle material is a mixture of nanoparticle constituents. 3. The method of claim 1, wherein the nanoparticle material is selected from the group consisting of tungsten, copper, tantalum, bismuth, lead, nickel, and any combination thereof. 4. The method of claim 1, wherein the mixture includes approximately:
50-98 percent by weight of powdered tungsten; 1-49 percent by weight of powdered metal binder; and 1-49 percent by weight of nanoparticle material. 5. The method of claim 1, wherein the powdered binder metal is selected from the group consisting of lead, molybdenum, tantalum, copper, aluminum, and any combination thereof. 6. The method of claim 1, wherein the nanoparticle material is selected from a group of reactive materials consisting of aluminum, zinc, niobium, magnesium, zirconium, titanium, and any combination thereof. 7. The method of claim 5, wherein the mixture further comprises a lubricant. 8. A method of penetrating a subterranean formation from a wellbore extending therethrough, the method comprising the steps of:
a) positioning a plurality of shaped charges in the wellbore, each of the shaped charges having:
a housing;
a quantity of high-explosive positioned in the housing; and
a liner positioned in the housing such that the quantity of high explosive is positioned between the housing and the liner, and wherein the liner is a rigid body made from a mixture of powdered metal, powdered metal binder, and a selected amount of nanoparticle material;
b) detonating the quantity of high explosive positioned in each shaped charge; c) ejecting from each shaped charge at high velocity a jet made essentially of the liner; and d) penetrating the formation, creating perforations extending into the formation. 9. The method of claim 8, wherein the nanoparticle material is a mixture of nanoparticle constituents. 10. The method of claim 8, wherein the nanoparticle material is selected from the group consisting of tungsten, copper, tantalum, bismuth, lead, nickel, and any combination thereof. 11. The method of claim 8, wherein the mixture includes approximately:
50-98 percent by weight of powdered tungsten; 1-49 percent by weight of powdered metal binder; 1-49 percent by weight of nanoparticle material. 12. The method of claim 8, wherein the powdered binder metal is selected from the group consisting of lead, molybdenum, niobium, tantalum, copper, aluminum, and any combination thereof. 13. The method of claim 8, wherein the nanoparticle material is selected from a group of reactive nanoparticle materials consisting of aluminum, zinc, magnesium, zirconium, titanium, and any combination thereof. 14. The method of claim 8, wherein the nanoparticle material is a reactive nanoparticle material. 15. The method of claim 13, further comprising the step of: e) positioning a quantity of the reactive nanoparticle material in the perforations. 16. The method of claim 15, further comprising the step of: f) reacting the reactive nanoparticle materials in the perforation with in situ fluid. 17. A liner for a shaped-charge comprising:
a mixture of powdered metal, powdered metal binder, and a selected amount of nanoparticles, the mixture compressively formed into a substantially conical rigid body. 18. The liner of claim 17, wherein the nanoparticle material is a mixture of nanoparticle constituents. 19. The liner of claim 17, wherein the nanoparticle material is selected from the group consisting of tungsten, copper, tantalum, bismuth, lead, nickel, and any combination thereof. 20. The liner of claim 17, wherein the mixture includes approximately:
50-98 percent by weight of powdered tungsten; 1-49 percent by weight of powdered metal binder; and 1-49 percent by weight of nanoparticle material. 21. The liner of claim 17, wherein the powdered binder metal is selected from the group consisting of lead, molybdenum, tantalum, niobium, copper, aluminum, and any combination thereof. 22. The liner of claim 17, wherein the nanoparticle material is selected from a group of reactive materials consisting of aluminum, niobium, zinc, magnesium, zirconium, titanium, and any combination thereof. 23. A shaped-charge comprising:
a housing; a quantity of high explosive positioned in the housing; a liner positioned in the housing such that the quantity of high explosive is positioned between the housing and the liner, and wherein the liner is compressively formed into a substantially conical rigid body from a mixture of powdered metal, powdered metal binder, and a selected amount of nanoparticle material. 24. The shaped-charge of claim 23, wherein the nanoparticle material is a mixture of nanoparticle constituents. 25. The shaped-charge of claim 23, wherein the nanoparticle material is selected from the group consisting of tungsten, copper, tantalum, bismuth, lead, nickel, and any combination thereof. 26. The shaped-charge of claim 23, wherein the mixture includes approximately:
50-98 percent by weight of powdered tungsten; 1-49 percent by weight of powdered metal binder; and 1-49 percent by weight of nanoparticle material. 27. The shaped-charge of claim 23, wherein the powdered binder metal is selected from the group consisting of lead, molybdenum, tantalum, copper, aluminum, and any combination thereof. 28. The shaped-charge of claim 23, wherein the nanoparticle material is selected from a group of reactive materials consisting of aluminum, niobium, zinc, magnesium, zirconium, titanium, and any combination thereof. | A liner ( 18 ) for a shaped-charge ( 10 ) that is compressively formed from a mixture of powdered metal, powdered metal binder, and a selected quantity of nanoparticle material, is used to achieve improved penetration depths during perforation of a wellbore. Exemplary nanoparticles include lead, tin, copper, molybdenum, etc. Such nanoparticles increase the density, sound speed, or acoustic impedance of the liner. In another embodiment, the added nanoparticles comprise reactive materials which, after penetration into the formation, cause secondary reactions in the perforations.1. A method for forming a liner for use in a shaped-charge comprising:
mixing powdered metal, powdered metal binder, and a selected amount of nanoparticle material, to create a mixture; and compressively forming the mixture into a substantially conical rigid body. 2. The method of claim 1, wherein the nanoparticle material is a mixture of nanoparticle constituents. 3. The method of claim 1, wherein the nanoparticle material is selected from the group consisting of tungsten, copper, tantalum, bismuth, lead, nickel, and any combination thereof. 4. The method of claim 1, wherein the mixture includes approximately:
50-98 percent by weight of powdered tungsten; 1-49 percent by weight of powdered metal binder; and 1-49 percent by weight of nanoparticle material. 5. The method of claim 1, wherein the powdered binder metal is selected from the group consisting of lead, molybdenum, tantalum, copper, aluminum, and any combination thereof. 6. The method of claim 1, wherein the nanoparticle material is selected from a group of reactive materials consisting of aluminum, zinc, niobium, magnesium, zirconium, titanium, and any combination thereof. 7. The method of claim 5, wherein the mixture further comprises a lubricant. 8. A method of penetrating a subterranean formation from a wellbore extending therethrough, the method comprising the steps of:
a) positioning a plurality of shaped charges in the wellbore, each of the shaped charges having:
a housing;
a quantity of high-explosive positioned in the housing; and
a liner positioned in the housing such that the quantity of high explosive is positioned between the housing and the liner, and wherein the liner is a rigid body made from a mixture of powdered metal, powdered metal binder, and a selected amount of nanoparticle material;
b) detonating the quantity of high explosive positioned in each shaped charge; c) ejecting from each shaped charge at high velocity a jet made essentially of the liner; and d) penetrating the formation, creating perforations extending into the formation. 9. The method of claim 8, wherein the nanoparticle material is a mixture of nanoparticle constituents. 10. The method of claim 8, wherein the nanoparticle material is selected from the group consisting of tungsten, copper, tantalum, bismuth, lead, nickel, and any combination thereof. 11. The method of claim 8, wherein the mixture includes approximately:
50-98 percent by weight of powdered tungsten; 1-49 percent by weight of powdered metal binder; 1-49 percent by weight of nanoparticle material. 12. The method of claim 8, wherein the powdered binder metal is selected from the group consisting of lead, molybdenum, niobium, tantalum, copper, aluminum, and any combination thereof. 13. The method of claim 8, wherein the nanoparticle material is selected from a group of reactive nanoparticle materials consisting of aluminum, zinc, magnesium, zirconium, titanium, and any combination thereof. 14. The method of claim 8, wherein the nanoparticle material is a reactive nanoparticle material. 15. The method of claim 13, further comprising the step of: e) positioning a quantity of the reactive nanoparticle material in the perforations. 16. The method of claim 15, further comprising the step of: f) reacting the reactive nanoparticle materials in the perforation with in situ fluid. 17. A liner for a shaped-charge comprising:
a mixture of powdered metal, powdered metal binder, and a selected amount of nanoparticles, the mixture compressively formed into a substantially conical rigid body. 18. The liner of claim 17, wherein the nanoparticle material is a mixture of nanoparticle constituents. 19. The liner of claim 17, wherein the nanoparticle material is selected from the group consisting of tungsten, copper, tantalum, bismuth, lead, nickel, and any combination thereof. 20. The liner of claim 17, wherein the mixture includes approximately:
50-98 percent by weight of powdered tungsten; 1-49 percent by weight of powdered metal binder; and 1-49 percent by weight of nanoparticle material. 21. The liner of claim 17, wherein the powdered binder metal is selected from the group consisting of lead, molybdenum, tantalum, niobium, copper, aluminum, and any combination thereof. 22. The liner of claim 17, wherein the nanoparticle material is selected from a group of reactive materials consisting of aluminum, niobium, zinc, magnesium, zirconium, titanium, and any combination thereof. 23. A shaped-charge comprising:
a housing; a quantity of high explosive positioned in the housing; a liner positioned in the housing such that the quantity of high explosive is positioned between the housing and the liner, and wherein the liner is compressively formed into a substantially conical rigid body from a mixture of powdered metal, powdered metal binder, and a selected amount of nanoparticle material. 24. The shaped-charge of claim 23, wherein the nanoparticle material is a mixture of nanoparticle constituents. 25. The shaped-charge of claim 23, wherein the nanoparticle material is selected from the group consisting of tungsten, copper, tantalum, bismuth, lead, nickel, and any combination thereof. 26. The shaped-charge of claim 23, wherein the mixture includes approximately:
50-98 percent by weight of powdered tungsten; 1-49 percent by weight of powdered metal binder; and 1-49 percent by weight of nanoparticle material. 27. The shaped-charge of claim 23, wherein the powdered binder metal is selected from the group consisting of lead, molybdenum, tantalum, copper, aluminum, and any combination thereof. 28. The shaped-charge of claim 23, wherein the nanoparticle material is selected from a group of reactive materials consisting of aluminum, niobium, zinc, magnesium, zirconium, titanium, and any combination thereof. | 3,600 |
13,654 | 13,654 | 13,621,625 | 3,649 | A wound closure device includes a filamentary element having a proximal end and a distal end, and a plurality of barbs extending outwardly from the filamentary element. Each barb has a base connected with the filamentary element, a tip spaced from the base, and an outer edge that extends between the base and the tip. The outer edge includes a first section having a concave surface that extends between the base and a transition point of the barb and a second section having a convex surface that extends between the transition point of the barb and the tip of the barb. The outer edge transforms from the concave surface of the first section to the convex curve of the second section at the transition point of the barb. The tip of the barb has a convexly curved surface facing the distal end of the filamentary element. The unique dual radius shape of the outer edge of the barbs and the tips of the barbs minimizes resistance when the filamentary element is pulled in a first direction through tissue and maximizes resistance to movement when the filamentary element is pulled in an opposite, second direction through tissue for holding the wound closure device stationary. | 1. A wound closure device comprising:
a filamentary element having a proximal end and a distal end; and a plurality of barbs extending outwardly from said filamentary element, each said barb having a base connected with said filamentary element, a tip spaced from said base, and an outer edge that extends between said base and said tip, wherein said outer edge includes a first section having a concave surface that extends between said base and a transition point of said barb and a second section having a convex surface that extends between said transition point of said barb and said tip of said barb. 2. The wound closure device as claimed in claim 1, wherein said concave surface of said first section of said barb has a radius of about 0.075-0.25 inches, and said convex surface of said second section of said barb has a radius of about 0.05-0.1 inches. 3. The wound closure device as claimed in claim 1, wherein said outer edge transforms from said concave surface of said first section to said convex curve of said second section at said transition point of said barb. 4. The wound closure device as claimed in claim 1, wherein said tip of said barb has a convexly curved surface facing the distal end of said filamentary element. 5. The wound closure device as claimed in claim 1, wherein said filamentary element has a length and said barbs are evenly spaced along the length of said filamentary element. 6. The wound closure device as claimed in claim 5, wherein said tips of said evenly spaced barbs define a tip-to-tip pitch of about 0.03-0.09 inches. 7. The wound closure device as claimed in claim 5, wherein said plurality of barbs includes pairs of barbs evenly spaced along the length of said filamentary element, and wherein said barbs in each said pair are aligned with one another. 8. The wound closure device as claimed in claim 7, wherein said barbs in each said pair project away from one another and are disposed on opposite sides of said filamentary element. 9. The wound closure device as claimed in claim 8, wherein said tips of said barbs in each said pair define a lateral tip-to-tip distance of about 0.025-0.1 inches. 10. The wound closure device as claimed in claim 1, wherein each said barb has said outer edge facing away from said filamentary element and an inner edge spaced from and facing said filamentary element, and wherein each said tip has a convexly curved outer surface extending between said outer and inner edges having a radius of about 0.003-0.006 inches. 11. The wound closure device as claimed in claim 10, wherein said inner edge said barb extends between said barb base and said barb tip, and wherein said barb includes an interior concave surface extending between said inner edge of said barb and said filamentary element having a radius of about 0.002-0.006 inches. 12. The wound closure device as claimed in claim 1, wherein at least one of said barbs extends along a longitudinal axis that defines an acute angle with the longitudinal axis of said filamentary element of about 5-60°. 13. The wound closure device as claimed in claim 1, wherein said bases of said barbs are thicker than said tips of said barbs, and wherein each said barb tapers inwardly between said base and said tip at an angle of about 1-20°. 14. The wound closure device as claimed in claim 1, further comprising a stop element connected with the distal end of said filamentary element, said stop element having a total surface area, and a leading edge area defined by a thickness and a width, the leading edge area extending substantially perpendicular to the longitudinal axis of said filamentary element, wherein the ratio of the leading edge area to the total surface area is less than 10%. 15. A wound closure device comprising:
a filamentary element having a proximal end, a distal end, and a longitudinal axis extending between the proximal and distal ends; and a plurality of barbs extending outwardly from said filamentary element, each said barb having a base connected with said filamentary element, a tip spaced from said base, and an outer edge that extends between said base and said tip, wherein said outer edge includes a first section having a concave surface having a radius of about 0.075-0.25 inches that extends between said base and a transition point of said barb and a second section having a convex surface having a radius of about 0.05-0.1 inches that extends between said transition point of said barb and said tip of said barb, and wherein said tip has a convex surface facing the distal end of said filamentary element having a radius of about 0.003-0.006 inches. 16. The wound closure device as claimed in claim 15, wherein said barbs are evenly spaced along the length of said filamentary element and define a longitudinal tip-to-tip pitch of about 0.03-0.09 inches, and wherein said plurality of barbs includes pairs of barbs that are aligned with one another and evenly spaced along the length of said filamentary element, said barbs in each said pair projecting away from one another and being disposed on opposite sides of said filamentary element, and wherein said tips of said barbs in each said pair define a lateral tip-to-tip distance of about 0.025-0.1 inches. 17. The wound closure device as claimed in claim 15, further comprising a stop element connected with the distal end of said filamentary element, said stop element having a total surface area, and a leading edge area defined by a thickness and a width, the leading edge area extending substantially perpendicular to the longitudinal axis of said filamentary element, wherein the ratio of the leading edge area to the total surface area is less than 10%. 18. The wound closure device as claimed in claim 17, wherein the ratio of the leading edge area of said stop element to the total surface area of said stop element is less than 5%. 19. The wound closure device as claimed in claim 18, wherein the width of said stop element is greater than 70 mils, the length of said stop element is greater than 70 mills, the minimum thickness of said stop element is about 4-12 mils, and the maximum thickness of said stop element is about 6-25 mils. 20. A wound closure device comprising:
a filamentary element having a proximal end and a distal end; and a plurality of barbs extending outwardly from said filamentary element, each said barb having a base connected with said filamentary element, a tip spaced from said base, an outer edge that faces away from said filamentary element and extends between said base and said tip, and an inner edge that faces toward said filamentary element and extends between said base and said tip, wherein said outer edge has a dual radius curve including a first concave surface that extends between said base and a transition point of said barb and a second convex surface that extends between said transition point of said barb and said tip of said barb, and wherein said tip has a convex surface facing the distal end of said filamentary element. | A wound closure device includes a filamentary element having a proximal end and a distal end, and a plurality of barbs extending outwardly from the filamentary element. Each barb has a base connected with the filamentary element, a tip spaced from the base, and an outer edge that extends between the base and the tip. The outer edge includes a first section having a concave surface that extends between the base and a transition point of the barb and a second section having a convex surface that extends between the transition point of the barb and the tip of the barb. The outer edge transforms from the concave surface of the first section to the convex curve of the second section at the transition point of the barb. The tip of the barb has a convexly curved surface facing the distal end of the filamentary element. The unique dual radius shape of the outer edge of the barbs and the tips of the barbs minimizes resistance when the filamentary element is pulled in a first direction through tissue and maximizes resistance to movement when the filamentary element is pulled in an opposite, second direction through tissue for holding the wound closure device stationary.1. A wound closure device comprising:
a filamentary element having a proximal end and a distal end; and a plurality of barbs extending outwardly from said filamentary element, each said barb having a base connected with said filamentary element, a tip spaced from said base, and an outer edge that extends between said base and said tip, wherein said outer edge includes a first section having a concave surface that extends between said base and a transition point of said barb and a second section having a convex surface that extends between said transition point of said barb and said tip of said barb. 2. The wound closure device as claimed in claim 1, wherein said concave surface of said first section of said barb has a radius of about 0.075-0.25 inches, and said convex surface of said second section of said barb has a radius of about 0.05-0.1 inches. 3. The wound closure device as claimed in claim 1, wherein said outer edge transforms from said concave surface of said first section to said convex curve of said second section at said transition point of said barb. 4. The wound closure device as claimed in claim 1, wherein said tip of said barb has a convexly curved surface facing the distal end of said filamentary element. 5. The wound closure device as claimed in claim 1, wherein said filamentary element has a length and said barbs are evenly spaced along the length of said filamentary element. 6. The wound closure device as claimed in claim 5, wherein said tips of said evenly spaced barbs define a tip-to-tip pitch of about 0.03-0.09 inches. 7. The wound closure device as claimed in claim 5, wherein said plurality of barbs includes pairs of barbs evenly spaced along the length of said filamentary element, and wherein said barbs in each said pair are aligned with one another. 8. The wound closure device as claimed in claim 7, wherein said barbs in each said pair project away from one another and are disposed on opposite sides of said filamentary element. 9. The wound closure device as claimed in claim 8, wherein said tips of said barbs in each said pair define a lateral tip-to-tip distance of about 0.025-0.1 inches. 10. The wound closure device as claimed in claim 1, wherein each said barb has said outer edge facing away from said filamentary element and an inner edge spaced from and facing said filamentary element, and wherein each said tip has a convexly curved outer surface extending between said outer and inner edges having a radius of about 0.003-0.006 inches. 11. The wound closure device as claimed in claim 10, wherein said inner edge said barb extends between said barb base and said barb tip, and wherein said barb includes an interior concave surface extending between said inner edge of said barb and said filamentary element having a radius of about 0.002-0.006 inches. 12. The wound closure device as claimed in claim 1, wherein at least one of said barbs extends along a longitudinal axis that defines an acute angle with the longitudinal axis of said filamentary element of about 5-60°. 13. The wound closure device as claimed in claim 1, wherein said bases of said barbs are thicker than said tips of said barbs, and wherein each said barb tapers inwardly between said base and said tip at an angle of about 1-20°. 14. The wound closure device as claimed in claim 1, further comprising a stop element connected with the distal end of said filamentary element, said stop element having a total surface area, and a leading edge area defined by a thickness and a width, the leading edge area extending substantially perpendicular to the longitudinal axis of said filamentary element, wherein the ratio of the leading edge area to the total surface area is less than 10%. 15. A wound closure device comprising:
a filamentary element having a proximal end, a distal end, and a longitudinal axis extending between the proximal and distal ends; and a plurality of barbs extending outwardly from said filamentary element, each said barb having a base connected with said filamentary element, a tip spaced from said base, and an outer edge that extends between said base and said tip, wherein said outer edge includes a first section having a concave surface having a radius of about 0.075-0.25 inches that extends between said base and a transition point of said barb and a second section having a convex surface having a radius of about 0.05-0.1 inches that extends between said transition point of said barb and said tip of said barb, and wherein said tip has a convex surface facing the distal end of said filamentary element having a radius of about 0.003-0.006 inches. 16. The wound closure device as claimed in claim 15, wherein said barbs are evenly spaced along the length of said filamentary element and define a longitudinal tip-to-tip pitch of about 0.03-0.09 inches, and wherein said plurality of barbs includes pairs of barbs that are aligned with one another and evenly spaced along the length of said filamentary element, said barbs in each said pair projecting away from one another and being disposed on opposite sides of said filamentary element, and wherein said tips of said barbs in each said pair define a lateral tip-to-tip distance of about 0.025-0.1 inches. 17. The wound closure device as claimed in claim 15, further comprising a stop element connected with the distal end of said filamentary element, said stop element having a total surface area, and a leading edge area defined by a thickness and a width, the leading edge area extending substantially perpendicular to the longitudinal axis of said filamentary element, wherein the ratio of the leading edge area to the total surface area is less than 10%. 18. The wound closure device as claimed in claim 17, wherein the ratio of the leading edge area of said stop element to the total surface area of said stop element is less than 5%. 19. The wound closure device as claimed in claim 18, wherein the width of said stop element is greater than 70 mils, the length of said stop element is greater than 70 mills, the minimum thickness of said stop element is about 4-12 mils, and the maximum thickness of said stop element is about 6-25 mils. 20. A wound closure device comprising:
a filamentary element having a proximal end and a distal end; and a plurality of barbs extending outwardly from said filamentary element, each said barb having a base connected with said filamentary element, a tip spaced from said base, an outer edge that faces away from said filamentary element and extends between said base and said tip, and an inner edge that faces toward said filamentary element and extends between said base and said tip, wherein said outer edge has a dual radius curve including a first concave surface that extends between said base and a transition point of said barb and a second convex surface that extends between said transition point of said barb and said tip of said barb, and wherein said tip has a convex surface facing the distal end of said filamentary element. | 3,600 |
13,655 | 13,655 | 14,548,589 | 3,693 | A system and computerized method for receiving and analyzing a notice document from a taxing authority. A notice form data store has a plurality of notice forms associated therewith, each associated with at least one category. A taxpayer file data store has a plurality of taxpayer files associated therewith. An advance notice engine acquires the notice document associated with the taxpayer; analyzes the notice document by comparing the notice document to the notice forms associated with the notice form data store; analyzes the notice document by comparing the notice document to the taxpayer files associated with the taxpayer file data store; calculates a severity level and at least one category associated; and generates a notice information set based upon the severity level, the at least one category, and the notice document. | 1. A system for receiving and analyzing a notice document from a taxing authority, the system comprising:
a notice form data store having a plurality of notice forms associated therewith, wherein each said notice form is associated with at least one category; a taxpayer file data store having a plurality of taxpayer files associated therewith; and an advance notice engine having an associated non-transitory computer readable storage medium with a computer program stored thereon, wherein execution of the computer program by at least one processing element performs the following steps:
acquiring the notice document associated with the taxpayer;
analyzing the notice document by comparing the notice document to at least a portion of the plurality of notice forms associated with the notice form data store;
analyzing the notice document by comparing the notice document to at least a portion of the plurality of taxpayer files associated with the taxpayer file data store;
calculating a severity level and at least one category associated with the notice document; and
generating a notice information set based upon the severity level, the at least one category, and the notice document. 2. The system of claim 1, wherein the notice form data store and the taxpayer file data store are associated with the advance notice engine. 3. The system of claim 1, wherein the notice form data store is associated with a computing device communicatively coupled with the advance notice engine. 4. The system of claim 1, wherein each said notice form is associated with a severity level. 5. The system of claim 1, wherein acquiring the notice document includes receiving a scanned image of a printed version of the notice document sent from the taxing authority. 6. The system of claim 1, wherein acquiring the notice document includes receiving a notification that a notice document has been issued by the taxing authority and retrieving the notice document form the taxing authority. 7. The system of claim 1, wherein acquiring the notice document includes determining if the notice document is in an electronically readable format and, if not, performing an optical character recognition on at least a portion of the notice document. 8. The system of claim 1, wherein analyzing the notice document includes identifying at least one keyword on the notice document that is indicative of the category. 9. The system of claim 1, wherein execution by the computer program further comprises the step of assigning a tax professional associated with the tax services provider to assist the taxpayer in responding to the notice document. 10. The system of claim 1, wherein execution by the computer program further comprises the step of sending the notice document and at least a portion of the notice information set to the taxpayer. 11. The system of claim 1, the system further comprising:
a tax professional computing device communicatively coupled with the server, the tax professional computing device having an associated non-transitory computer readable storage medium with a computer program stored thereon, wherein execution of the computer program by at least one processing element performs the following steps:
receiving, from the advance notice engine, the notice information set;
receiving, from the advance notice engine, a notification that the advance notice engine has assigned a certain tax professional to handle responding to the notice document; and
receiving, from the advance notice engine, a priority for responding to the notice document; 12. The system of claim 1, wherein the computer program further performs the following steps:
receiving an authorization document indicative of a taxpayer authorizing a tax services provider to have access to the notice document; analyzing the authorization document to determine if the authorization document is free of errors, transmitting the authorization document to the taxing authority; and receiving, from the taxing authority, an indication that the authorization document has been accepted by the taxing authority. 13. The system of claim 12, wherein the computer program further performs the step of associating the authorization document with the taxpayer file in the taxpayer file data store. 14. The system of claim 12, wherein the analyzing the authorization document is performed, at least in part, by comparing the authorization document to a set of taxpayer data for the taxpayer. 15. An advance notice engine for receiving and analyzing a notice document from a taxing authority, having an associated non-transitory computer readable storage medium with a computer program stored thereon, wherein execution of the computer program by at least one processing element performs the following steps:
acquiring the notice document associated with the taxpayer; analyzing the notice document by comparing the notice document to at least a portion of a plurality of notice forms associated with a notice form data store; analyzing the notice document by comparing the notice document to at least a portion of a plurality of taxpayer files associated with a taxpayer file data store; calculating a severity level and at least one category associated with the notice document; and generating a notice information set based upon the severity level, the at least one category, and the notice document. 16. The advance notice engine of claim 15, wherein the computer program further performs the following steps:
receiving an authorization document indicative of a taxpayer authorizing a tax services provider to have access to the notice document; analyzing the authorization document to determine if the authorization document is free of errors, transmitting the authorization document to the taxing authority; and receiving, from the taxing authority, an indication that the authorization document has been accepted by the taxing authority. 17. The advance notice engine of claim 15, wherein analyzing the notice document includes identifying at least one keyword on the notice document that is indicative of the category. 18. The advance notice engine of claim 15, wherein execution by the computer program further comprises the step of assigning a tax professional associated with the tax services provider to assist the taxpayer in responding to the notice document. 19. The advance notice engine of claim 15, wherein execution by the computer program further comprises the step of sending the notice document and at least a portion of the notice information set to the taxpayer. 20. A computerized method for receiving and analyzing a notice document from a taxing authority, the steps of the method comprising:
acquiring the notice document associated with the taxpayer; analyzing the notice document by comparing the notice document to at least a portion of the plurality of notice forms associated with the notice form data store; analyzing the notice document by comparing the notice document to at least a portion of the plurality of taxpayer files associated with the taxpayer file data store; calculating a severity level and at least one category associated with the notice document; and generating a notice information set based upon the severity level, the at least one category, and the notice document. | A system and computerized method for receiving and analyzing a notice document from a taxing authority. A notice form data store has a plurality of notice forms associated therewith, each associated with at least one category. A taxpayer file data store has a plurality of taxpayer files associated therewith. An advance notice engine acquires the notice document associated with the taxpayer; analyzes the notice document by comparing the notice document to the notice forms associated with the notice form data store; analyzes the notice document by comparing the notice document to the taxpayer files associated with the taxpayer file data store; calculates a severity level and at least one category associated; and generates a notice information set based upon the severity level, the at least one category, and the notice document.1. A system for receiving and analyzing a notice document from a taxing authority, the system comprising:
a notice form data store having a plurality of notice forms associated therewith, wherein each said notice form is associated with at least one category; a taxpayer file data store having a plurality of taxpayer files associated therewith; and an advance notice engine having an associated non-transitory computer readable storage medium with a computer program stored thereon, wherein execution of the computer program by at least one processing element performs the following steps:
acquiring the notice document associated with the taxpayer;
analyzing the notice document by comparing the notice document to at least a portion of the plurality of notice forms associated with the notice form data store;
analyzing the notice document by comparing the notice document to at least a portion of the plurality of taxpayer files associated with the taxpayer file data store;
calculating a severity level and at least one category associated with the notice document; and
generating a notice information set based upon the severity level, the at least one category, and the notice document. 2. The system of claim 1, wherein the notice form data store and the taxpayer file data store are associated with the advance notice engine. 3. The system of claim 1, wherein the notice form data store is associated with a computing device communicatively coupled with the advance notice engine. 4. The system of claim 1, wherein each said notice form is associated with a severity level. 5. The system of claim 1, wherein acquiring the notice document includes receiving a scanned image of a printed version of the notice document sent from the taxing authority. 6. The system of claim 1, wherein acquiring the notice document includes receiving a notification that a notice document has been issued by the taxing authority and retrieving the notice document form the taxing authority. 7. The system of claim 1, wherein acquiring the notice document includes determining if the notice document is in an electronically readable format and, if not, performing an optical character recognition on at least a portion of the notice document. 8. The system of claim 1, wherein analyzing the notice document includes identifying at least one keyword on the notice document that is indicative of the category. 9. The system of claim 1, wherein execution by the computer program further comprises the step of assigning a tax professional associated with the tax services provider to assist the taxpayer in responding to the notice document. 10. The system of claim 1, wherein execution by the computer program further comprises the step of sending the notice document and at least a portion of the notice information set to the taxpayer. 11. The system of claim 1, the system further comprising:
a tax professional computing device communicatively coupled with the server, the tax professional computing device having an associated non-transitory computer readable storage medium with a computer program stored thereon, wherein execution of the computer program by at least one processing element performs the following steps:
receiving, from the advance notice engine, the notice information set;
receiving, from the advance notice engine, a notification that the advance notice engine has assigned a certain tax professional to handle responding to the notice document; and
receiving, from the advance notice engine, a priority for responding to the notice document; 12. The system of claim 1, wherein the computer program further performs the following steps:
receiving an authorization document indicative of a taxpayer authorizing a tax services provider to have access to the notice document; analyzing the authorization document to determine if the authorization document is free of errors, transmitting the authorization document to the taxing authority; and receiving, from the taxing authority, an indication that the authorization document has been accepted by the taxing authority. 13. The system of claim 12, wherein the computer program further performs the step of associating the authorization document with the taxpayer file in the taxpayer file data store. 14. The system of claim 12, wherein the analyzing the authorization document is performed, at least in part, by comparing the authorization document to a set of taxpayer data for the taxpayer. 15. An advance notice engine for receiving and analyzing a notice document from a taxing authority, having an associated non-transitory computer readable storage medium with a computer program stored thereon, wherein execution of the computer program by at least one processing element performs the following steps:
acquiring the notice document associated with the taxpayer; analyzing the notice document by comparing the notice document to at least a portion of a plurality of notice forms associated with a notice form data store; analyzing the notice document by comparing the notice document to at least a portion of a plurality of taxpayer files associated with a taxpayer file data store; calculating a severity level and at least one category associated with the notice document; and generating a notice information set based upon the severity level, the at least one category, and the notice document. 16. The advance notice engine of claim 15, wherein the computer program further performs the following steps:
receiving an authorization document indicative of a taxpayer authorizing a tax services provider to have access to the notice document; analyzing the authorization document to determine if the authorization document is free of errors, transmitting the authorization document to the taxing authority; and receiving, from the taxing authority, an indication that the authorization document has been accepted by the taxing authority. 17. The advance notice engine of claim 15, wherein analyzing the notice document includes identifying at least one keyword on the notice document that is indicative of the category. 18. The advance notice engine of claim 15, wherein execution by the computer program further comprises the step of assigning a tax professional associated with the tax services provider to assist the taxpayer in responding to the notice document. 19. The advance notice engine of claim 15, wherein execution by the computer program further comprises the step of sending the notice document and at least a portion of the notice information set to the taxpayer. 20. A computerized method for receiving and analyzing a notice document from a taxing authority, the steps of the method comprising:
acquiring the notice document associated with the taxpayer; analyzing the notice document by comparing the notice document to at least a portion of the plurality of notice forms associated with the notice form data store; analyzing the notice document by comparing the notice document to at least a portion of the plurality of taxpayer files associated with the taxpayer file data store; calculating a severity level and at least one category associated with the notice document; and generating a notice information set based upon the severity level, the at least one category, and the notice document. | 3,600 |
13,656 | 13,656 | 11,304,943 | 3,627 | A systems-assisted method for defining and managing a public value network according to one or more desired outcomes of the public value network, which includes creating a public value network representation by defining participants in the network, relationships between the participants, and a desired outcome the network, assigning a maturity level value to each relationship; establishing a network governance framework; specifying the capabilities of said public value network; calculating a capabilities maturity index according to the defined relationships, relationship maturity levels, and capabilities; and creating visualizations displayed to a user representing the network, the relationships, and the maturity levels. | 1. A method for defining and managing a public value network according to one or more desired outcomes of the public value network, comprising the steps of:
creating a public value network representation by defining and mapping a public issue against a public policy system to the desired public outcome; assessing maturity levels of relationships between public value network participants by assigning a maturity level value to each relationship; establishing a network governance framework; defining or revising one or more public value network capabilities while assessing capability maturity; creating or updating an outcome delivery roadmap; and creating one or more visualizations displayed to a user representing said network, said relationships, said maturity levels, and said roadmap. 2. The method as set forth in claim 1 wherein said step of creating a public value network representation comprises creating a public issue map by mapping a specific public issue against the public policy system to said desired public outcome. 3. The method as set forth in claim 2 further comprising performing an environmental and public policy analysis. 4. The method as set forth in claim 2 wherein said step of creating a public issue map comprises the steps of:
(a) identifying and defining one or public issues; (b) identifying one or more public outcomes to which the public issue(s) points; (c) mapping said public issues against a public policy system; (d) identifying one or more cross-sector participants involved with contributing to said public outcomes; (e) identifying cross-sector non-participants that are likely to become future participants; and (f) identifying shared and complementary benefits for said participants. 5. The method as set forth in claim 1 wherein said step of assessing maturity of said relationships by assigning a maturity level value to each relationship further comprises:
(a) identifying and defining one or more current or desired roles played by each participant in contributing to said outcomes; (b) categorizing said roles according to one or more role categories; (c) identifying and defining existing relationships between participants or type of network between said participants; (d) assessing the maturity of the existing relationships to determine the ease with which of these parties work together to achieve the public outcome; (e) articulating participant challenges, problems and opportunities in narrative form; and (f) defining an Outcome-based Public Value Network. 6. The method as set forth in claim 5 wherein said step of categorizing said roles according to one or more role categories comprises categorizing using a category selected from the group of “Mission-critical”, “Mission-relevant”, “Differentiating”; “Non-Mission critical”, and “Commoditized”. 7. The method as set forth in claim 1 wherein said step of establishing a network governance framework further comprises the steps of:
(a) defining one or more shared guiding principles for a successful network relationship; (b) defining one or more required participant competencies based on roles; (c) selecting one or more roles or high-level responsibilities of each participant; (d) defining one or more value statements from a public (collective) value and institutional (participant) value perspective to determine if and/or where value statements conflict; (e) developing a Network Governance Strategy; (f) establishing one or more minimum requirements for accountability based on competencies, structure of relationships, and operating model; and (g) validating an Outcome-based Public Value Network. 8. The method as set forth in claim 7 wherein said steps of specifying a plurality of capabilities of said public value network and calculating capabilities maturity indices comprise establishing a set of competencies that organize and bound the public value network using a network Component Business Model according to competencies, business components, capabilities for each competency area along at least three levels of responsibility comprising (a) plans, (b) management and control, and (c) service delivery. 9. The method as set forth in claim 1 wherein said step of defining or revising one or more public value network capabilities while assessing capability maturity comprises:
(a) validating one or more government and network competencies; (b) defining government and network capability inventory; (c) balancing participant issues and outcomes with network issues and outcomes; (d) selecting a set of capabilities needed to address rationalized issues and outcomes; (e) assessing network capability maturity; and I (f) applying an innovation leadership matrix showing the intersection of invention and insight. 10. The method as set forth in claim 1 wherein said step of creating or updating an outcome delivery roadmap comprises:
(a) developing a Public Value Network Component Business Model using conventional CBM methods; (b) identifying zero or more strategic intervention options; (c) defining an Outcomes-based Delivery Model; (d) establishing competency-level or component-level strategic direction; (e) designing capabilities and capability elements; and (f) delivering outcome-based services according to said delivery roadmap. 11. The method as set forth in claim 1 wherein said step of creating one or more visualizations displayed to a user representing said network, said relationships, and said maturity levels, further comprises producing an enhanced public issue map in a graphical form in which each participant is represented by a graphical element, each of said participant graphical elements are arranged essentially concentrically around a graphical element representing a desired outcome of said public value network, and including one or more linear elements representing said relationships extend between participant graphic elements and between said desired outcome graphic element, and wherein said visualization is enhanced to include annotation regarding one or more public value network characteristics selected from the group of a relationship maturity level, a capability maturity index, a composite network maturity index, and an annotation regarding a maturity index with falls below a minimum maturity level 12. A computer-readable medium encoded with software for defining and managing a public value network according to one or more desired outcomes of the public value network, said software performing the steps of:
creating a public value network representation by defining and mapping a public issue against a public policy system to the desired public outcome; assessing maturity levels of relationships between public value network participants by assigning a maturity level value to each relationship; establishing a network governance framework; establishing a network governance framework; defining or revising one or more public value network capabilities while assessing capability maturity; creating or updating an outcome delivery roadmap; and creating one or more visualizations displayed to a user representing said network, said relationships, said maturity levels, and said roadmap. 13. The computer-readable medium as set forth in claim 12 wherein said software for creating a public value network representation comprises software for creating a public issue map by mapping a specific public issue against the public policy system to said desired public outcome. 14. The computer-readable medium as set forth in claim 13 further comprising software for performing an environmental and public policy analysis. 15. The computer-readable medium as set forth in claim 13 wherein said software for creating a public issue map further comprises software for:
(a) identifying and defining one or public issues; (b) identifying one or more public outcomes to which the public issue(s) points; (c) mapping said public issues against a public policy system; (d) identifying one or more cross-sector participants involved with contributing to said public outcomes; (e) identifying cross-sector non-participants that are likely to become future participants; and (f) identifying shared and complementary benefits for said participants. 16. The computer-readable medium as set forth in claim 12 wherein said software for assessing maturity of said relationships by assigning a maturity level value to each relationship further comprises software for:
(a) identifying and defining one or more current or desired roles played by each participant in contributing to said outcomes; (b) categorizing said roles according-to one or more role categories; (c) identifying and defining existing relationships between participants or type of network between said participants; (d) assessing the maturity of the existing relationships to determine the ease with which of these parties work together to achieve the public outcome; (e) articulating participant challenges, problems and opportunities in narrative form; and (f) defining an Outcome-based Public Value Network. 17. The computer-readable medium as set forth in claim 16 wherein said software for categorizing said roles according to one or more role categories comprises software for categorizing using a category selected from the group of “Mission-critical”, “Mission-relevant”, “Differentiating”; “Non-Mission critical”, and “Commoditized”. 18. The computer-readable medium as set forth in claim 12 wherein said software for establishing a network governance framework further comprises software for:
(a) defining one or more shared guiding principles for a successful network relationship; (b) defining one or more required participant competencies based on roles; (c) selecting one or more roles or high-level responsibilities of each participant; (d) defining one or more value statements from a public (collective) value and institutional (participant) value perspective to determine if and/or where value statements conflict; (e) developing a Network Governance Strategy; (f) establishing one or more minimum requirements for accountability based on competencies, structure of relationships, and operating model; and (g) validating an Outcome-based Public Value Network. 19. The computer-readable medium as set forth in claim 18 wherein said software for specifying a plurality of capabilities of said public value network and calculating capabilities maturity indices comprises software for establishing a set of competencies that organize and bound the public value network using a network Component Business Model according to competencies, business components, capabilities for each competency area along at least three levels of responsibilities comprising (a) ideas and plans, (b) management and control, and (c) service delivery. 20. The computer-readable medium as set forth in claim 12 wherein said software for defining or revising one or more public value network capabilities while assessing capability maturity comprises software for:
(a) validating one or more government and network competencies; (b) defining government and network capability inventory; (c) balancing participant issues and outcomes with network issues and outcomes; (d) selecting a set of capabilities needed to address rationalized issues and outcomes; (e) assessing network capability maturity; and (f) applying an innovation leadership matrix showing the intersection of invention and insight. 21. The computer-readable medium as set forth in claim 12 wherein said software for creating or updating an outcome delivery roadmap comprises software for:
(a) developing a Public Value Network Component Business Model using conventional CBM methods; (b) identifying zero or more strategic intervention options; (c) defining an Outcomes-based Delivery Model; (d) establishing competency-level or component-level strategic direction; (e) designing capabilities and capability elements; and (f) delivering outcome-based services according to said delivery roadmap. 22. The computer-readable medium as set forth in claim 12 wherein said software for creating one or more visualizations displayed to a user representing said network, said relationships, and said maturity levels, further comprises software for producing an enhanced public issue map in a graphical form in which each participant is represented by a graphical element, each of said participant graphical elements are arranged essentially concentrically around a graphical element representing a desired outcome of said public value network, and including one or more linear elements representing said relationships extend between participant graphic elements and between said desired outcome graphic element, and wherein said visualization is enhanced to include annotation regarding one or more public value network characteristics selected from the group of a relationship maturity level, a capability maturity index, a composite network maturity index, and an annotation regarding a maturity index with falls below a minimum maturity Level. 23. A system for defining and managing a public value network according to one or more desired outcomes of the public value network, comprising:
a mapper adapted to create a public value network representation by defining and mapping a public issue against a public policy system to the desired public outcome; a maturity level assigner adapted to record an assessment of maturity levels of relationships between public value network participants by assigning a maturity level value to each relationship; a network governance framework establisher; one or more public value network capabilities definitions associated with assessed capability maturities; an outcome delivery roadmap generator; and a user output for creating one or more visualizations displayed to a user representing said network, said relationships, said maturity levels, and said roadmap. 24. The system as set forth in claim 23 wherein said mapper is further adapted to create a public issue map by mapping a specific public issue against the public policy system to said desired public outcome. 25. The system as set forth in claim 24 wherein said mapper is further adapted to perform an environmental and public policy analysis. 26. The system as set forth in claim 24 further wherein said mapper is further adapted to:
(a) identify and defining one or public issues; (b) identify one or more public outcomes to which the public issue(s) points; (c) map said public issues against a public policy system; (d) identify one or more cross-sector participants involved with contributing to said public outcomes; (e) identify cross-sector non-participants that are likely to become future participants; and (f) identify shared and complementary benefits for said participants. 27. The system as set forth in claim 23 wherein maturity level assessor is further adapted to assess maturity of said relationships by assigning a maturity level value to each relationship by:
(a) identifying and defining one or more current or desired roles played by each participant in contributing to said outcomes; (b) categorizing said roles according to one or more role categories; (c) identifying and defining existing relationships between participants or type of network between said participants; (d) assessing the maturity of the existing relationships to determine the ease with which of these parties work together to achieve the public outcome; (e) articulating participant challenges, problems and opportunities in narrative form; and (f) defining an Outcome-based Public Value Network. 28. The system as set forth in claim 27 wherein categorizing said roles according to one or more role categories comprises categorizing using a category selected from the group of “Mission-critical”, “Mission-relevant”, “Differentiating”; “Non-Mission critical”, and “Commoditized”. 29. The system as set forth in claim 23 wherein said network governance framework establisher is further adapted to:
(a) define one or more shared guiding principles for a successful network relationship; (b) define one or more required participant competencies based on roles; (c) select one or more roles or high-level responsibilities of each participant; (d) define one or more value statements from a public (collective) value and institutional (participant) value perspective to determine if and/or where value statements conflict; (e) develop a Network Governance Strategy; (f) establish one or more minimum requirements for accountability based on competencies, structure of relationships, and operating model; and (g) validate an Outcome-based Public Value Network. 30. The system as set forth in claim 29 wherein said network governance framework establisher is further adapted to specify a plurality of capabilities of said public value network and to calculate capabilities maturity indices by establishing a set of competencies that organize and bound the public value network using a network Component Business Model according to competencies, business components, capabilities for each competency area along at least three levels of responsibility comprising (a) ideas and plans, (b) management and control, and (c) service delivery. 31. The system as set forth in claim 23 wherein said network capabilities definitions are defined by steps comprising:
(a) validating one or more government and network competencies; (b) defining government and network capability inventory; (c) balancing participant issues and outcomes with network issues and outcomes; (d) selecting a set of capabilities needed to address rationalized issues and outcomes; (e) assessing network capability maturity; and (f) applying an innovation leadership matrix showing the intersection of invention and insight. 32. The system as set forth in claim 23 wherein said outcome delivery roadmap generator is adapted to:
(a) develop a Public Value Network Component Business Model using conventional CBM methods; (b) identify zero or more strategic intervention options; (c) define an Outcomes-based Delivery Model (d) establish competency-level or component-level strategic direction; (e) design capabilities and capability elements; and (f) deliver outcome-based services. 33. The system set forth in claim 23 wherein said user output is further adapted to produce an enhanced public issue map in a graphical form in which each participant is represented by a graphical element, each of said participant graphical elements are arranged essentially concentrically around a graphical element representing a desired outcome of said public value network, and including one or more linear elements representing said relationships extend between participant graphic elements and between said desired outcome graphic element, and wherein said visualization is enhanced to include annotation regarding one or more public value network characteristics selected from the group of a relationship maturity level, a capability maturity index, a composite network maturity index, and an annotation regarding a maturity index with falls below a minimum maturity level 34. A method for conducting a transaction in an on-demand computing environment comprising the steps of:
providing transaction-oriented process software in a shared file system to: (a) create a public value network representation by defining and mapping a public issue against a public policy system to the desired public outcome; (b) assess maturity levels of relationships between public value network participants by assigning a maturity level value to each relationship; (c) establish a network governance framework; (d) define or revise one or more public value network capabilities while assessing capability maturity; (e) create or update an outcome delivery roadmap; and (f) create one or more visualizations displayed to a user representing said network, said relationships, said maturity levels, and said roadmap; executing said process software in an on-demand computing system wherein the transactions provided by said process software are automatically shared by simultaneously serving multiple customers; differentiating and recording each customer's usage of said process software according to one or more parameters included in said transactions, said parameters uniquely identifying each customer and a type of transaction conducted for that customer. responsive to a number of simultaneous transactions to any one server exceeding a performance limit of a given server, automatically accessing one or more additional servers to increase the capacity and to share the workload; 35. The method as set forth in claim 34 further comprising providing transaction processing capacity to at least one customer using a pay-as-you-go model in which charges are posted for actual computing resource consumption. 36. The method as set forth in claim 35 wherein with resource consumption is metered in at least one unit selected from the group of processor units of time, processor operations, number of transactions completed, network bandwidth utilized, memory usage, storage usage, and number of communications packet transfers completed. 37. The method as set forth in claim 35 wherein said pay-as-you-go model further comprises automatically requesting payment by a service provider directly from a customer account at a banking or financial institution. 38. The method as set forth in claim 35 further comprising:
collecting by a billing server from a transaction server one or more service consumption measurements for a customer; periodically summing said collected measurements for said customer; multiplying said summed measurements by a unit cost factor to yield a total process software application service cost for said customer; and posting said total process software application service cost to said customer for payment collection. 39. The method as set forth in claim 34 wherein said step of automatically accessing one or more additional servers to increase the capacity and to share the workload is further responsive to exceeding a measured aggregate capacity limit of a server selected from the group of maximum network bandwidth, maximum memory usage, and maximum storage usage. 40. A method for deploying and using a virtual private network for controlling the flow of private reply messages responsive to a broadcast message in a messaging system, said method comprising:
responsive to determining if remote access to broadcast-with-private-reply software, transmitting said software to a client via an unsecure network using secure tunneling; responsive to determining if site access to said software is required, transmitting said software to a client via an unsecure network using secure tunneling; and executing said software by said client to perform the steps of: (a) create a public value network representation by defining and mapping a public issue against a public policy system to the desired public outcome; (b) assess maturity levels of relationships between public value network participants by assigning a maturity level value to each relationship; (c) establish a network governance framework; (d) define or revise one or more public value network capabilities while assessing capability maturity; (e) create or update an outcome delivery roadmap; and (f) create one or more visualizations displayed to a user representing said network, said relationships, said maturity levels, and said roadmap. | A systems-assisted method for defining and managing a public value network according to one or more desired outcomes of the public value network, which includes creating a public value network representation by defining participants in the network, relationships between the participants, and a desired outcome the network, assigning a maturity level value to each relationship; establishing a network governance framework; specifying the capabilities of said public value network; calculating a capabilities maturity index according to the defined relationships, relationship maturity levels, and capabilities; and creating visualizations displayed to a user representing the network, the relationships, and the maturity levels.1. A method for defining and managing a public value network according to one or more desired outcomes of the public value network, comprising the steps of:
creating a public value network representation by defining and mapping a public issue against a public policy system to the desired public outcome; assessing maturity levels of relationships between public value network participants by assigning a maturity level value to each relationship; establishing a network governance framework; defining or revising one or more public value network capabilities while assessing capability maturity; creating or updating an outcome delivery roadmap; and creating one or more visualizations displayed to a user representing said network, said relationships, said maturity levels, and said roadmap. 2. The method as set forth in claim 1 wherein said step of creating a public value network representation comprises creating a public issue map by mapping a specific public issue against the public policy system to said desired public outcome. 3. The method as set forth in claim 2 further comprising performing an environmental and public policy analysis. 4. The method as set forth in claim 2 wherein said step of creating a public issue map comprises the steps of:
(a) identifying and defining one or public issues; (b) identifying one or more public outcomes to which the public issue(s) points; (c) mapping said public issues against a public policy system; (d) identifying one or more cross-sector participants involved with contributing to said public outcomes; (e) identifying cross-sector non-participants that are likely to become future participants; and (f) identifying shared and complementary benefits for said participants. 5. The method as set forth in claim 1 wherein said step of assessing maturity of said relationships by assigning a maturity level value to each relationship further comprises:
(a) identifying and defining one or more current or desired roles played by each participant in contributing to said outcomes; (b) categorizing said roles according to one or more role categories; (c) identifying and defining existing relationships between participants or type of network between said participants; (d) assessing the maturity of the existing relationships to determine the ease with which of these parties work together to achieve the public outcome; (e) articulating participant challenges, problems and opportunities in narrative form; and (f) defining an Outcome-based Public Value Network. 6. The method as set forth in claim 5 wherein said step of categorizing said roles according to one or more role categories comprises categorizing using a category selected from the group of “Mission-critical”, “Mission-relevant”, “Differentiating”; “Non-Mission critical”, and “Commoditized”. 7. The method as set forth in claim 1 wherein said step of establishing a network governance framework further comprises the steps of:
(a) defining one or more shared guiding principles for a successful network relationship; (b) defining one or more required participant competencies based on roles; (c) selecting one or more roles or high-level responsibilities of each participant; (d) defining one or more value statements from a public (collective) value and institutional (participant) value perspective to determine if and/or where value statements conflict; (e) developing a Network Governance Strategy; (f) establishing one or more minimum requirements for accountability based on competencies, structure of relationships, and operating model; and (g) validating an Outcome-based Public Value Network. 8. The method as set forth in claim 7 wherein said steps of specifying a plurality of capabilities of said public value network and calculating capabilities maturity indices comprise establishing a set of competencies that organize and bound the public value network using a network Component Business Model according to competencies, business components, capabilities for each competency area along at least three levels of responsibility comprising (a) plans, (b) management and control, and (c) service delivery. 9. The method as set forth in claim 1 wherein said step of defining or revising one or more public value network capabilities while assessing capability maturity comprises:
(a) validating one or more government and network competencies; (b) defining government and network capability inventory; (c) balancing participant issues and outcomes with network issues and outcomes; (d) selecting a set of capabilities needed to address rationalized issues and outcomes; (e) assessing network capability maturity; and I (f) applying an innovation leadership matrix showing the intersection of invention and insight. 10. The method as set forth in claim 1 wherein said step of creating or updating an outcome delivery roadmap comprises:
(a) developing a Public Value Network Component Business Model using conventional CBM methods; (b) identifying zero or more strategic intervention options; (c) defining an Outcomes-based Delivery Model; (d) establishing competency-level or component-level strategic direction; (e) designing capabilities and capability elements; and (f) delivering outcome-based services according to said delivery roadmap. 11. The method as set forth in claim 1 wherein said step of creating one or more visualizations displayed to a user representing said network, said relationships, and said maturity levels, further comprises producing an enhanced public issue map in a graphical form in which each participant is represented by a graphical element, each of said participant graphical elements are arranged essentially concentrically around a graphical element representing a desired outcome of said public value network, and including one or more linear elements representing said relationships extend between participant graphic elements and between said desired outcome graphic element, and wherein said visualization is enhanced to include annotation regarding one or more public value network characteristics selected from the group of a relationship maturity level, a capability maturity index, a composite network maturity index, and an annotation regarding a maturity index with falls below a minimum maturity level 12. A computer-readable medium encoded with software for defining and managing a public value network according to one or more desired outcomes of the public value network, said software performing the steps of:
creating a public value network representation by defining and mapping a public issue against a public policy system to the desired public outcome; assessing maturity levels of relationships between public value network participants by assigning a maturity level value to each relationship; establishing a network governance framework; establishing a network governance framework; defining or revising one or more public value network capabilities while assessing capability maturity; creating or updating an outcome delivery roadmap; and creating one or more visualizations displayed to a user representing said network, said relationships, said maturity levels, and said roadmap. 13. The computer-readable medium as set forth in claim 12 wherein said software for creating a public value network representation comprises software for creating a public issue map by mapping a specific public issue against the public policy system to said desired public outcome. 14. The computer-readable medium as set forth in claim 13 further comprising software for performing an environmental and public policy analysis. 15. The computer-readable medium as set forth in claim 13 wherein said software for creating a public issue map further comprises software for:
(a) identifying and defining one or public issues; (b) identifying one or more public outcomes to which the public issue(s) points; (c) mapping said public issues against a public policy system; (d) identifying one or more cross-sector participants involved with contributing to said public outcomes; (e) identifying cross-sector non-participants that are likely to become future participants; and (f) identifying shared and complementary benefits for said participants. 16. The computer-readable medium as set forth in claim 12 wherein said software for assessing maturity of said relationships by assigning a maturity level value to each relationship further comprises software for:
(a) identifying and defining one or more current or desired roles played by each participant in contributing to said outcomes; (b) categorizing said roles according-to one or more role categories; (c) identifying and defining existing relationships between participants or type of network between said participants; (d) assessing the maturity of the existing relationships to determine the ease with which of these parties work together to achieve the public outcome; (e) articulating participant challenges, problems and opportunities in narrative form; and (f) defining an Outcome-based Public Value Network. 17. The computer-readable medium as set forth in claim 16 wherein said software for categorizing said roles according to one or more role categories comprises software for categorizing using a category selected from the group of “Mission-critical”, “Mission-relevant”, “Differentiating”; “Non-Mission critical”, and “Commoditized”. 18. The computer-readable medium as set forth in claim 12 wherein said software for establishing a network governance framework further comprises software for:
(a) defining one or more shared guiding principles for a successful network relationship; (b) defining one or more required participant competencies based on roles; (c) selecting one or more roles or high-level responsibilities of each participant; (d) defining one or more value statements from a public (collective) value and institutional (participant) value perspective to determine if and/or where value statements conflict; (e) developing a Network Governance Strategy; (f) establishing one or more minimum requirements for accountability based on competencies, structure of relationships, and operating model; and (g) validating an Outcome-based Public Value Network. 19. The computer-readable medium as set forth in claim 18 wherein said software for specifying a plurality of capabilities of said public value network and calculating capabilities maturity indices comprises software for establishing a set of competencies that organize and bound the public value network using a network Component Business Model according to competencies, business components, capabilities for each competency area along at least three levels of responsibilities comprising (a) ideas and plans, (b) management and control, and (c) service delivery. 20. The computer-readable medium as set forth in claim 12 wherein said software for defining or revising one or more public value network capabilities while assessing capability maturity comprises software for:
(a) validating one or more government and network competencies; (b) defining government and network capability inventory; (c) balancing participant issues and outcomes with network issues and outcomes; (d) selecting a set of capabilities needed to address rationalized issues and outcomes; (e) assessing network capability maturity; and (f) applying an innovation leadership matrix showing the intersection of invention and insight. 21. The computer-readable medium as set forth in claim 12 wherein said software for creating or updating an outcome delivery roadmap comprises software for:
(a) developing a Public Value Network Component Business Model using conventional CBM methods; (b) identifying zero or more strategic intervention options; (c) defining an Outcomes-based Delivery Model; (d) establishing competency-level or component-level strategic direction; (e) designing capabilities and capability elements; and (f) delivering outcome-based services according to said delivery roadmap. 22. The computer-readable medium as set forth in claim 12 wherein said software for creating one or more visualizations displayed to a user representing said network, said relationships, and said maturity levels, further comprises software for producing an enhanced public issue map in a graphical form in which each participant is represented by a graphical element, each of said participant graphical elements are arranged essentially concentrically around a graphical element representing a desired outcome of said public value network, and including one or more linear elements representing said relationships extend between participant graphic elements and between said desired outcome graphic element, and wherein said visualization is enhanced to include annotation regarding one or more public value network characteristics selected from the group of a relationship maturity level, a capability maturity index, a composite network maturity index, and an annotation regarding a maturity index with falls below a minimum maturity Level. 23. A system for defining and managing a public value network according to one or more desired outcomes of the public value network, comprising:
a mapper adapted to create a public value network representation by defining and mapping a public issue against a public policy system to the desired public outcome; a maturity level assigner adapted to record an assessment of maturity levels of relationships between public value network participants by assigning a maturity level value to each relationship; a network governance framework establisher; one or more public value network capabilities definitions associated with assessed capability maturities; an outcome delivery roadmap generator; and a user output for creating one or more visualizations displayed to a user representing said network, said relationships, said maturity levels, and said roadmap. 24. The system as set forth in claim 23 wherein said mapper is further adapted to create a public issue map by mapping a specific public issue against the public policy system to said desired public outcome. 25. The system as set forth in claim 24 wherein said mapper is further adapted to perform an environmental and public policy analysis. 26. The system as set forth in claim 24 further wherein said mapper is further adapted to:
(a) identify and defining one or public issues; (b) identify one or more public outcomes to which the public issue(s) points; (c) map said public issues against a public policy system; (d) identify one or more cross-sector participants involved with contributing to said public outcomes; (e) identify cross-sector non-participants that are likely to become future participants; and (f) identify shared and complementary benefits for said participants. 27. The system as set forth in claim 23 wherein maturity level assessor is further adapted to assess maturity of said relationships by assigning a maturity level value to each relationship by:
(a) identifying and defining one or more current or desired roles played by each participant in contributing to said outcomes; (b) categorizing said roles according to one or more role categories; (c) identifying and defining existing relationships between participants or type of network between said participants; (d) assessing the maturity of the existing relationships to determine the ease with which of these parties work together to achieve the public outcome; (e) articulating participant challenges, problems and opportunities in narrative form; and (f) defining an Outcome-based Public Value Network. 28. The system as set forth in claim 27 wherein categorizing said roles according to one or more role categories comprises categorizing using a category selected from the group of “Mission-critical”, “Mission-relevant”, “Differentiating”; “Non-Mission critical”, and “Commoditized”. 29. The system as set forth in claim 23 wherein said network governance framework establisher is further adapted to:
(a) define one or more shared guiding principles for a successful network relationship; (b) define one or more required participant competencies based on roles; (c) select one or more roles or high-level responsibilities of each participant; (d) define one or more value statements from a public (collective) value and institutional (participant) value perspective to determine if and/or where value statements conflict; (e) develop a Network Governance Strategy; (f) establish one or more minimum requirements for accountability based on competencies, structure of relationships, and operating model; and (g) validate an Outcome-based Public Value Network. 30. The system as set forth in claim 29 wherein said network governance framework establisher is further adapted to specify a plurality of capabilities of said public value network and to calculate capabilities maturity indices by establishing a set of competencies that organize and bound the public value network using a network Component Business Model according to competencies, business components, capabilities for each competency area along at least three levels of responsibility comprising (a) ideas and plans, (b) management and control, and (c) service delivery. 31. The system as set forth in claim 23 wherein said network capabilities definitions are defined by steps comprising:
(a) validating one or more government and network competencies; (b) defining government and network capability inventory; (c) balancing participant issues and outcomes with network issues and outcomes; (d) selecting a set of capabilities needed to address rationalized issues and outcomes; (e) assessing network capability maturity; and (f) applying an innovation leadership matrix showing the intersection of invention and insight. 32. The system as set forth in claim 23 wherein said outcome delivery roadmap generator is adapted to:
(a) develop a Public Value Network Component Business Model using conventional CBM methods; (b) identify zero or more strategic intervention options; (c) define an Outcomes-based Delivery Model (d) establish competency-level or component-level strategic direction; (e) design capabilities and capability elements; and (f) deliver outcome-based services. 33. The system set forth in claim 23 wherein said user output is further adapted to produce an enhanced public issue map in a graphical form in which each participant is represented by a graphical element, each of said participant graphical elements are arranged essentially concentrically around a graphical element representing a desired outcome of said public value network, and including one or more linear elements representing said relationships extend between participant graphic elements and between said desired outcome graphic element, and wherein said visualization is enhanced to include annotation regarding one or more public value network characteristics selected from the group of a relationship maturity level, a capability maturity index, a composite network maturity index, and an annotation regarding a maturity index with falls below a minimum maturity level 34. A method for conducting a transaction in an on-demand computing environment comprising the steps of:
providing transaction-oriented process software in a shared file system to: (a) create a public value network representation by defining and mapping a public issue against a public policy system to the desired public outcome; (b) assess maturity levels of relationships between public value network participants by assigning a maturity level value to each relationship; (c) establish a network governance framework; (d) define or revise one or more public value network capabilities while assessing capability maturity; (e) create or update an outcome delivery roadmap; and (f) create one or more visualizations displayed to a user representing said network, said relationships, said maturity levels, and said roadmap; executing said process software in an on-demand computing system wherein the transactions provided by said process software are automatically shared by simultaneously serving multiple customers; differentiating and recording each customer's usage of said process software according to one or more parameters included in said transactions, said parameters uniquely identifying each customer and a type of transaction conducted for that customer. responsive to a number of simultaneous transactions to any one server exceeding a performance limit of a given server, automatically accessing one or more additional servers to increase the capacity and to share the workload; 35. The method as set forth in claim 34 further comprising providing transaction processing capacity to at least one customer using a pay-as-you-go model in which charges are posted for actual computing resource consumption. 36. The method as set forth in claim 35 wherein with resource consumption is metered in at least one unit selected from the group of processor units of time, processor operations, number of transactions completed, network bandwidth utilized, memory usage, storage usage, and number of communications packet transfers completed. 37. The method as set forth in claim 35 wherein said pay-as-you-go model further comprises automatically requesting payment by a service provider directly from a customer account at a banking or financial institution. 38. The method as set forth in claim 35 further comprising:
collecting by a billing server from a transaction server one or more service consumption measurements for a customer; periodically summing said collected measurements for said customer; multiplying said summed measurements by a unit cost factor to yield a total process software application service cost for said customer; and posting said total process software application service cost to said customer for payment collection. 39. The method as set forth in claim 34 wherein said step of automatically accessing one or more additional servers to increase the capacity and to share the workload is further responsive to exceeding a measured aggregate capacity limit of a server selected from the group of maximum network bandwidth, maximum memory usage, and maximum storage usage. 40. A method for deploying and using a virtual private network for controlling the flow of private reply messages responsive to a broadcast message in a messaging system, said method comprising:
responsive to determining if remote access to broadcast-with-private-reply software, transmitting said software to a client via an unsecure network using secure tunneling; responsive to determining if site access to said software is required, transmitting said software to a client via an unsecure network using secure tunneling; and executing said software by said client to perform the steps of: (a) create a public value network representation by defining and mapping a public issue against a public policy system to the desired public outcome; (b) assess maturity levels of relationships between public value network participants by assigning a maturity level value to each relationship; (c) establish a network governance framework; (d) define or revise one or more public value network capabilities while assessing capability maturity; (e) create or update an outcome delivery roadmap; and (f) create one or more visualizations displayed to a user representing said network, said relationships, said maturity levels, and said roadmap. | 3,600 |
13,657 | 13,657 | 14,504,113 | 3,693 | A computer system is enabled to process a transaction. The computer system receives a financial account holder identifier and a merchant identifier and generates a payment token uniquely associated with the financial account holder and merchant. The computer system communicates the payment token to a mobile payment device. The computer system can then receive a payment request that includes the payment token, a payee identifier, and a payor identifier associated with the payment request. The computer system can then authorize the payment request when the payee identifier matches the financial account holder identifier uniquely associated with the payment token and the payor identifier matches the merchant identifier uniquely associated with payment token. | 1. A method for processing transactions comprising:
receiving, by one or more processors, a financial account holder identifier and a merchant identifier; generating, by the one or more processors, a payment token uniquely associated with the financial account holder identifier and the merchant identifier; communicating the payment token to a mobile payment device; receiving a payment request including the payment token; receiving a payee identifier and a payor identifier associated with the payment request; and authorizing, by the one or more processors, the payment request when the payee identifier matches the financial account holder identifier uniquely associated with the payment token and the payor identifier matches the merchant identifier uniquely associated with payment token. 2. The method of claim 1 further comprising:
communicating a decline message when the payee identifier does not match the financial account holder identifier uniquely associated with the payment token. 3. The method of claim 1 further comprising:
communicating a decline message when the payor identifier does not match the merchant identifier uniquely associated with payment token. 4. The method of claim 1 further comprising:
deactivating a financial account associated with the financial account identifier when the payee identifier does not match the financial account holder identifier uniquely associated with the payment token. 5. The method of claim 1 further comprising:
deactivating a financial account associated with the financial account identifier when the payor identifier does not match the merchant identifier uniquely associated with payment token. 6. The method of claim 1 wherein the mobile payment device is a wireless computing device. 7. The method of claim 1 wherein the mobile payment device is a programmable financial account card. 8. A system for processing transactions comprising:
one or more processors; and a memory having instructions that when executed by the one or more processors, cause the one or more processors to perform the operations of:
receiving a financial account holder identifier and a merchant identifier;
generating a payment token uniquely associated with the financial account holder identifier and the merchant identifier;
communicating the payment token to a mobile payment device;
receiving a payment request including the payment token;
receiving a payee identifier and a payor identifier associated with the payment request; and
authorizing the payment request when the payee identifier matches the financial account holder identifier uniquely associated with the payment token and the payor identifier matches the merchant identifier uniquely associated with payment token. 9. The system of claim 8 wherein the instructions further cause the one or more processors to perform the operation of:
communicating a decline message when the payee identifier does not match the financial account holder identifier uniquely associated with the payment token. 10. The system of claim 8 wherein the instructions further cause the one or more processors to perform the operation of:
communicating a decline message when the payor identifier does not match the merchant identifier uniquely associated with payment token. 11. The system of claim 8 wherein the instructions further cause the one or more processors to perform the operation of:
deactivating a financial account associated with the financial account identifier when the payee identifier does not match the financial account holder identifier uniquely associated with the payment token. 12. The system of claim 8 wherein the instructions further cause the one or more processors to perform the operation of:
deactivating a financial account associated with the financial account identifier when the payor identifier does not match the merchant identifier uniquely associated with payment token. 13. The system of claim 8 wherein the mobile payment device is a wireless computing device. 14. The system of claim 8 wherein the mobile payment device is a programmable financial account card. 15. A non-transitory computer readable medium storing instructions that, when executed by one or more processors, causes the one or more processors to perform operations comprising:
receiving a financial account holder identifier and a merchant identifier; generating a payment token uniquely associated with the financial account holder identifier and the merchant identifier; communicating the payment token to a mobile payment device; receiving a payment request including the payment token; receiving a payee identifier and a payor identifier associated with the payment request; and authorizing the payment request when the payee identifier matches the financial account holder identifier uniquely associated with the payment token and the payor identifier matches the merchant identifier uniquely associated with payment token. 16. The non-transitory computer readable medium of claim 15, wherein the operations further comprise:
communicating a decline message when the payee identifier does not match the financial account holder identifier uniquely associated with the payment token. 17. The non-transitory computer readable medium of claim 15, wherein the operations further comprise:
communicating a decline message when the payor identifier does not match the merchant identifier uniquely associated with payment token. 18. The non-transitory computer readable medium of claim 15, wherein the operations further comprise:
deactivating a financial account associated with the financial account identifier when the payee identifier does not match the financial account holder identifier uniquely associated with the payment token. 19. The non-transitory computer readable medium of claim 15, wherein the operations further comprise:
deactivating a financial account associated with the financial account identifier when the payor identifier does not match the merchant identifier uniquely associated with payment token. 20. The system of claim 8 wherein the mobile payment device is a wireless computing device. | A computer system is enabled to process a transaction. The computer system receives a financial account holder identifier and a merchant identifier and generates a payment token uniquely associated with the financial account holder and merchant. The computer system communicates the payment token to a mobile payment device. The computer system can then receive a payment request that includes the payment token, a payee identifier, and a payor identifier associated with the payment request. The computer system can then authorize the payment request when the payee identifier matches the financial account holder identifier uniquely associated with the payment token and the payor identifier matches the merchant identifier uniquely associated with payment token.1. A method for processing transactions comprising:
receiving, by one or more processors, a financial account holder identifier and a merchant identifier; generating, by the one or more processors, a payment token uniquely associated with the financial account holder identifier and the merchant identifier; communicating the payment token to a mobile payment device; receiving a payment request including the payment token; receiving a payee identifier and a payor identifier associated with the payment request; and authorizing, by the one or more processors, the payment request when the payee identifier matches the financial account holder identifier uniquely associated with the payment token and the payor identifier matches the merchant identifier uniquely associated with payment token. 2. The method of claim 1 further comprising:
communicating a decline message when the payee identifier does not match the financial account holder identifier uniquely associated with the payment token. 3. The method of claim 1 further comprising:
communicating a decline message when the payor identifier does not match the merchant identifier uniquely associated with payment token. 4. The method of claim 1 further comprising:
deactivating a financial account associated with the financial account identifier when the payee identifier does not match the financial account holder identifier uniquely associated with the payment token. 5. The method of claim 1 further comprising:
deactivating a financial account associated with the financial account identifier when the payor identifier does not match the merchant identifier uniquely associated with payment token. 6. The method of claim 1 wherein the mobile payment device is a wireless computing device. 7. The method of claim 1 wherein the mobile payment device is a programmable financial account card. 8. A system for processing transactions comprising:
one or more processors; and a memory having instructions that when executed by the one or more processors, cause the one or more processors to perform the operations of:
receiving a financial account holder identifier and a merchant identifier;
generating a payment token uniquely associated with the financial account holder identifier and the merchant identifier;
communicating the payment token to a mobile payment device;
receiving a payment request including the payment token;
receiving a payee identifier and a payor identifier associated with the payment request; and
authorizing the payment request when the payee identifier matches the financial account holder identifier uniquely associated with the payment token and the payor identifier matches the merchant identifier uniquely associated with payment token. 9. The system of claim 8 wherein the instructions further cause the one or more processors to perform the operation of:
communicating a decline message when the payee identifier does not match the financial account holder identifier uniquely associated with the payment token. 10. The system of claim 8 wherein the instructions further cause the one or more processors to perform the operation of:
communicating a decline message when the payor identifier does not match the merchant identifier uniquely associated with payment token. 11. The system of claim 8 wherein the instructions further cause the one or more processors to perform the operation of:
deactivating a financial account associated with the financial account identifier when the payee identifier does not match the financial account holder identifier uniquely associated with the payment token. 12. The system of claim 8 wherein the instructions further cause the one or more processors to perform the operation of:
deactivating a financial account associated with the financial account identifier when the payor identifier does not match the merchant identifier uniquely associated with payment token. 13. The system of claim 8 wherein the mobile payment device is a wireless computing device. 14. The system of claim 8 wherein the mobile payment device is a programmable financial account card. 15. A non-transitory computer readable medium storing instructions that, when executed by one or more processors, causes the one or more processors to perform operations comprising:
receiving a financial account holder identifier and a merchant identifier; generating a payment token uniquely associated with the financial account holder identifier and the merchant identifier; communicating the payment token to a mobile payment device; receiving a payment request including the payment token; receiving a payee identifier and a payor identifier associated with the payment request; and authorizing the payment request when the payee identifier matches the financial account holder identifier uniquely associated with the payment token and the payor identifier matches the merchant identifier uniquely associated with payment token. 16. The non-transitory computer readable medium of claim 15, wherein the operations further comprise:
communicating a decline message when the payee identifier does not match the financial account holder identifier uniquely associated with the payment token. 17. The non-transitory computer readable medium of claim 15, wherein the operations further comprise:
communicating a decline message when the payor identifier does not match the merchant identifier uniquely associated with payment token. 18. The non-transitory computer readable medium of claim 15, wherein the operations further comprise:
deactivating a financial account associated with the financial account identifier when the payee identifier does not match the financial account holder identifier uniquely associated with the payment token. 19. The non-transitory computer readable medium of claim 15, wherein the operations further comprise:
deactivating a financial account associated with the financial account identifier when the payor identifier does not match the merchant identifier uniquely associated with payment token. 20. The system of claim 8 wherein the mobile payment device is a wireless computing device. | 3,600 |
13,658 | 13,658 | 15,010,662 | 3,671 | A handheld lawn maintenance tool having a power head to which an adapter is attachable to allow both battery-powered and gasoline-powered working attachments to be attached thereto. The power head includes a power source, integrated first and second handles, a power generator, and a first attachment mechanism to which the adapter and/or working attachments are attachable. | 1. A handheld lawn maintenance tool comprising a power head having a power source, a first handle operatively connected to a housing, a second handle operatively connected to said housing, a control mechanism positioned adjacent to said first handle, a power generator positioned within said housing, and a first attachment mechanism extending from said housing for receiving a releasably attachable working attachment. 2. The handheld lawn maintenance tool of claim 1, wherein said power source is removably attachable to said housing. 3. The handheld lawn maintenance tool of claim 2, wherein said power source is a rechargeable battery. 4. The handheld lawn maintenance tool of claim 1, wherein said power source is an internal combustion engine. 5. The handheld lawn maintenance tool of claim 1, wherein said first attachment mechanism is releasably attachable to an adapter. 6. The handheld lawn maintenance tool of claim 5, wherein said adapter is attachable to both battery-powered working attachment and gasoline-powered working attachment. 7. A handheld lawn maintenance tool comprising:
a power head having a power source operatively connected to a housing, a first handle and a second handle integrally connected to said housing, a power generator operatively connected to said power source, and a first attachment mechanism; a working attachment having a tool and a connector extending from said tool, said connector being releasably attachable to said first attachment mechanism. 8. The handheld lawn maintenance tool of claim 7, wherein said working attachment includes a tool, said tool being formed as a string trimmer, an edger, a tiller, a chainsaw or a polesaw, a blower, or a hedge trimmer. 9. The handheld lawn maintenance tool of claim 7, wherein said power source is formed as a rechargeable battery, an electrical connector, a hybrid-electric power source, or an internal combustion engine. | A handheld lawn maintenance tool having a power head to which an adapter is attachable to allow both battery-powered and gasoline-powered working attachments to be attached thereto. The power head includes a power source, integrated first and second handles, a power generator, and a first attachment mechanism to which the adapter and/or working attachments are attachable.1. A handheld lawn maintenance tool comprising a power head having a power source, a first handle operatively connected to a housing, a second handle operatively connected to said housing, a control mechanism positioned adjacent to said first handle, a power generator positioned within said housing, and a first attachment mechanism extending from said housing for receiving a releasably attachable working attachment. 2. The handheld lawn maintenance tool of claim 1, wherein said power source is removably attachable to said housing. 3. The handheld lawn maintenance tool of claim 2, wherein said power source is a rechargeable battery. 4. The handheld lawn maintenance tool of claim 1, wherein said power source is an internal combustion engine. 5. The handheld lawn maintenance tool of claim 1, wherein said first attachment mechanism is releasably attachable to an adapter. 6. The handheld lawn maintenance tool of claim 5, wherein said adapter is attachable to both battery-powered working attachment and gasoline-powered working attachment. 7. A handheld lawn maintenance tool comprising:
a power head having a power source operatively connected to a housing, a first handle and a second handle integrally connected to said housing, a power generator operatively connected to said power source, and a first attachment mechanism; a working attachment having a tool and a connector extending from said tool, said connector being releasably attachable to said first attachment mechanism. 8. The handheld lawn maintenance tool of claim 7, wherein said working attachment includes a tool, said tool being formed as a string trimmer, an edger, a tiller, a chainsaw or a polesaw, a blower, or a hedge trimmer. 9. The handheld lawn maintenance tool of claim 7, wherein said power source is formed as a rechargeable battery, an electrical connector, a hybrid-electric power source, or an internal combustion engine. | 3,600 |
13,659 | 13,659 | 14,346,832 | 3,662 | The present invention relates to a control system for a refuse vehicle and a method for controlling a refuse vehicle provided with at least one refuse container location sensor, at least one vehicle speed control, and one or more electronics. The one or more electronics receive and process signals from the at least one refuse container location sensor and outputs a control signal to the at least one vehicle speed control to stop the refuse vehicle at a predetermined location with respect to a refuse container. | 1. A control system for a refuse vehicle, comprising:
at least one refuse container location sensor at least one vehicle speed control; and one or more electronics that:
receive and process signals from the at least one refuse container location sensor; and
output a control signal to the at least one speed control to stop the refuse vehicle at a predetermined location with respect to a refuse container. 2. The control system for a refuse vehicle according to claim 1, wherein the at least one speed control includes a brake. 3. The control system for a refuse vehicle according to claim 1, Wherein the at least one speed control includes a throttle control. 4. The control system for a refuse vehicle according to claim 1, wherein the at least one refuse container location sensor includes a camera. 5. The control system for a refuse vehicle according to claim 1, wherein the at least one refuse container location sensor includes an RFID radar sensor. 6. The control system for a refuse vehicle according to claim 1, wherein the at least one refuse container location sensor includes a laser sensor. 7. The control system for a refuse vehicle according to claim 1, further comprising a switch that selectively activates and deactivates the operator assist system, 8. A method for controlling a refuse vehicle provided with a control system that includes at least one refuse container location sensor, at least one vehicle speed control and one or more electronics, comprising the steps of:
using the at least one refuse container location sensor to track a refuse container and provide output signals to the one or more electronics; using the one electronics to:
process the output signals and identify the presence of the refuse container:
telemetrically measure the position of the refuse container with respect to a reference point on or alongside the vehicle; and
output a control signal to the at least one speed control to stop the refuse vehicle at a predetermined location with respect to the refuse container. 9. The method for controlling a refuse vehicle according to claim 8, wherein the at least one speed control includes a brake and wherein the step of outputting a control signal to the at least one speed control to cause the refuse vehicle to stop at a predetermined location with respect to the refuse container includes the step of outputting the control signal to the brake to cause the refuse vehicle to stop at a predetermined location with respect to the refuse container. 10. The method for controlling a refuse vehicle according to claim 8, wherein the at least one speed control includes a throttle control and wherein the step of outputting a control signal to the at least one speed control to cause the refuse vehicle to stop at a predetermined location with respect to the refuse container includes the step of outputting the control signal to the throttle control to cause the refuse vehicle to stop at a predetermined location with respect to the refuse container. 11. The method for controlling a refuse vehicle according to claim 8, wherein the at least one refuse container location sensor includes a camera. 12. The method for controlling a refuse vehicle according to claim 8, wherein the at least one refuse container location sensor includes an RFID radar sensor. 13. The method for controlling a refuse vehicle according to claim 8, wherein the at least one refuse container location sensor includes a laser sensor. 14. The method for controlling a refuse vehicle to claim 8, wherein the control system further includes a switch that selectively activates and deactivates the control system and further comprising the step of using the switch to selectively activate the control system. | The present invention relates to a control system for a refuse vehicle and a method for controlling a refuse vehicle provided with at least one refuse container location sensor, at least one vehicle speed control, and one or more electronics. The one or more electronics receive and process signals from the at least one refuse container location sensor and outputs a control signal to the at least one vehicle speed control to stop the refuse vehicle at a predetermined location with respect to a refuse container.1. A control system for a refuse vehicle, comprising:
at least one refuse container location sensor at least one vehicle speed control; and one or more electronics that:
receive and process signals from the at least one refuse container location sensor; and
output a control signal to the at least one speed control to stop the refuse vehicle at a predetermined location with respect to a refuse container. 2. The control system for a refuse vehicle according to claim 1, wherein the at least one speed control includes a brake. 3. The control system for a refuse vehicle according to claim 1, Wherein the at least one speed control includes a throttle control. 4. The control system for a refuse vehicle according to claim 1, wherein the at least one refuse container location sensor includes a camera. 5. The control system for a refuse vehicle according to claim 1, wherein the at least one refuse container location sensor includes an RFID radar sensor. 6. The control system for a refuse vehicle according to claim 1, wherein the at least one refuse container location sensor includes a laser sensor. 7. The control system for a refuse vehicle according to claim 1, further comprising a switch that selectively activates and deactivates the operator assist system, 8. A method for controlling a refuse vehicle provided with a control system that includes at least one refuse container location sensor, at least one vehicle speed control and one or more electronics, comprising the steps of:
using the at least one refuse container location sensor to track a refuse container and provide output signals to the one or more electronics; using the one electronics to:
process the output signals and identify the presence of the refuse container:
telemetrically measure the position of the refuse container with respect to a reference point on or alongside the vehicle; and
output a control signal to the at least one speed control to stop the refuse vehicle at a predetermined location with respect to the refuse container. 9. The method for controlling a refuse vehicle according to claim 8, wherein the at least one speed control includes a brake and wherein the step of outputting a control signal to the at least one speed control to cause the refuse vehicle to stop at a predetermined location with respect to the refuse container includes the step of outputting the control signal to the brake to cause the refuse vehicle to stop at a predetermined location with respect to the refuse container. 10. The method for controlling a refuse vehicle according to claim 8, wherein the at least one speed control includes a throttle control and wherein the step of outputting a control signal to the at least one speed control to cause the refuse vehicle to stop at a predetermined location with respect to the refuse container includes the step of outputting the control signal to the throttle control to cause the refuse vehicle to stop at a predetermined location with respect to the refuse container. 11. The method for controlling a refuse vehicle according to claim 8, wherein the at least one refuse container location sensor includes a camera. 12. The method for controlling a refuse vehicle according to claim 8, wherein the at least one refuse container location sensor includes an RFID radar sensor. 13. The method for controlling a refuse vehicle according to claim 8, wherein the at least one refuse container location sensor includes a laser sensor. 14. The method for controlling a refuse vehicle to claim 8, wherein the control system further includes a switch that selectively activates and deactivates the control system and further comprising the step of using the switch to selectively activate the control system. | 3,600 |
13,660 | 13,660 | 14,456,846 | 3,683 | Implementations described and claimed herein provide systems and methods for tracking attributes of an order for one or more products, such as telecommunication products or services. In one implementation, a record for an order for one or more products is generated. The record specifies sales exit criteria corresponding to one or more defects in the order. The record is stored in one or more databases. A notification for modifying the order is generated based on the sales exit criteria, and changes made to the order are tracked based on the sales exit criteria. The record is updated based on the tracked changes. | 1. A method for managing changes to an order for one or more products for a customer comprising:
generating a record for the order using at least one computing device, the record specifying sales exit criteria for releasing the order, the sales exit criteria corresponding to information for provisioning the one or more products; storing the record in one or more databases using the at least one computing device; submitting the record for modifying the order based on the sales exit criteria using the at least one computing device; and storing a completed record in the one or more databases using the at least one computing device, the completed record including a closure code identifying a nature of the sales exit criteria. 2. The method of claim 1, wherein the sales exit criteria identifies one or more defects in the information for provisioning the one or more products. 3. The method of claim 2, wherein the one or more defects includes one or more of: at least a portion of the information for provisioning the one or more products is missing; and at least a portion of the information is inadequate for provisioning the one or more products. 4. The method of claim 2, wherein the one or more defects involve a customer proposal for provisioning the one or more products. 5. The method of claim 4, wherein the one or more defects includes at least one: the customer proposal is missing; the customer proposal is missing a signature of the customer; or the customer proposal fails to match the order. 6. The method of claim 2, wherein the one or more defects involve customer information for provisioning the one or more products. 7. The method of claim 1, further comprising:
generating analytics based on the closure code using the at least one computing device, the analytics identifying one or more common order defects. 8. The method of claim 1, further comprising:
generating a notification to one or more responsible parties upon submission of the record. 9. The method of claim 8, wherein the notification is an email. 10. The method of claim 1, wherein the sales exit criteria includes a stage of the order for provisioning the one or more products. 11. The method of claim 1, wherein the one or more products include telecommunication products or services. 12. One or more non-transitory tangible computer-readable storage media storing computer-executable instructions for performing a computer process on a computing system, the computer process comprising:
generating a record for an order for one or more products, the record specifying sales exit criteria corresponding to one or more defects in the order; storing the record in one or more databases; generating a notification for modifying the order based on the sales exit criteria; tracking changes made to the order based on the sales exit criteria; and updating the record based on the tracked changes. 13. The one or more non-transitory tangible computer-readable storage media of claim 12, further comprising:
releasing the order for provisioning the one or more products once the one or more defects are remedied. 14. The one or more non-transitory tangible computer-readable storage media of claim 13, further comprising:
storing a completed record in the one or more databases upon release of the order, the completed record including a closure code identifying a nature of the one or more defects. 15. The one or more non-transitory tangible computer-readable storage media of claim 14, further comprising:
generating analytics based on the closure code, the analytics identifying one or more common order defects. 16. The one or more non-transitory tangible computer-readable storage media of claim 12, wherein the notification is an email. 17. A system for managing changes to an order for one or more products for a customer comprising:
one or more databases configured to store an order for one or more products; and at least one server configured to generate a record for the order specifying sales exit criteria corresponding to one or more defects in the order and configured to track any changes made to the order based on the sales exit criteria using the record. 18. The system of claim 17, wherein the at least one server is further configured to release the order for provisioning the one or more products once the record indicates that the one or more defects are remedied. 19. The system of claim 18, wherein the at least one server is further configured to storing a completed record in the one or more databases upon release of the order, the completed record including a closure code identifying a nature of the one or more defects. 20. The system of claim 17, wherein the one or more defects includes one or more of: at least a portion of information in the order for provisioning the one or more products is missing; and at least a portion of information in the order is inadequate for provisioning the one or more products. | Implementations described and claimed herein provide systems and methods for tracking attributes of an order for one or more products, such as telecommunication products or services. In one implementation, a record for an order for one or more products is generated. The record specifies sales exit criteria corresponding to one or more defects in the order. The record is stored in one or more databases. A notification for modifying the order is generated based on the sales exit criteria, and changes made to the order are tracked based on the sales exit criteria. The record is updated based on the tracked changes.1. A method for managing changes to an order for one or more products for a customer comprising:
generating a record for the order using at least one computing device, the record specifying sales exit criteria for releasing the order, the sales exit criteria corresponding to information for provisioning the one or more products; storing the record in one or more databases using the at least one computing device; submitting the record for modifying the order based on the sales exit criteria using the at least one computing device; and storing a completed record in the one or more databases using the at least one computing device, the completed record including a closure code identifying a nature of the sales exit criteria. 2. The method of claim 1, wherein the sales exit criteria identifies one or more defects in the information for provisioning the one or more products. 3. The method of claim 2, wherein the one or more defects includes one or more of: at least a portion of the information for provisioning the one or more products is missing; and at least a portion of the information is inadequate for provisioning the one or more products. 4. The method of claim 2, wherein the one or more defects involve a customer proposal for provisioning the one or more products. 5. The method of claim 4, wherein the one or more defects includes at least one: the customer proposal is missing; the customer proposal is missing a signature of the customer; or the customer proposal fails to match the order. 6. The method of claim 2, wherein the one or more defects involve customer information for provisioning the one or more products. 7. The method of claim 1, further comprising:
generating analytics based on the closure code using the at least one computing device, the analytics identifying one or more common order defects. 8. The method of claim 1, further comprising:
generating a notification to one or more responsible parties upon submission of the record. 9. The method of claim 8, wherein the notification is an email. 10. The method of claim 1, wherein the sales exit criteria includes a stage of the order for provisioning the one or more products. 11. The method of claim 1, wherein the one or more products include telecommunication products or services. 12. One or more non-transitory tangible computer-readable storage media storing computer-executable instructions for performing a computer process on a computing system, the computer process comprising:
generating a record for an order for one or more products, the record specifying sales exit criteria corresponding to one or more defects in the order; storing the record in one or more databases; generating a notification for modifying the order based on the sales exit criteria; tracking changes made to the order based on the sales exit criteria; and updating the record based on the tracked changes. 13. The one or more non-transitory tangible computer-readable storage media of claim 12, further comprising:
releasing the order for provisioning the one or more products once the one or more defects are remedied. 14. The one or more non-transitory tangible computer-readable storage media of claim 13, further comprising:
storing a completed record in the one or more databases upon release of the order, the completed record including a closure code identifying a nature of the one or more defects. 15. The one or more non-transitory tangible computer-readable storage media of claim 14, further comprising:
generating analytics based on the closure code, the analytics identifying one or more common order defects. 16. The one or more non-transitory tangible computer-readable storage media of claim 12, wherein the notification is an email. 17. A system for managing changes to an order for one or more products for a customer comprising:
one or more databases configured to store an order for one or more products; and at least one server configured to generate a record for the order specifying sales exit criteria corresponding to one or more defects in the order and configured to track any changes made to the order based on the sales exit criteria using the record. 18. The system of claim 17, wherein the at least one server is further configured to release the order for provisioning the one or more products once the record indicates that the one or more defects are remedied. 19. The system of claim 18, wherein the at least one server is further configured to storing a completed record in the one or more databases upon release of the order, the completed record including a closure code identifying a nature of the one or more defects. 20. The system of claim 17, wherein the one or more defects includes one or more of: at least a portion of information in the order for provisioning the one or more products is missing; and at least a portion of information in the order is inadequate for provisioning the one or more products. | 3,600 |
13,661 | 13,661 | 11,983,102 | 3,683 | In one embodiment, a method for providing predictions pertaining to a future state of a manufacturing facility includes collecting data from various source systems in a manufacturing facility, and generating predictions pertaining to a future state of the manufacturing facility based on the collected data. The method further includes providing the predictions to recipient systems in the manufacturing facility. | 1. A computerized method comprising:
receiving data from a plurality of source systems in a manufacturing facility; generating predictions pertaining to a future state of the manufacturing facility based on the data received from the plurality of source systems; and providing the predictions to a plurality of recipient systems in the manufacturing facility. 2. The method of claim 1 wherein:
the plurality of source systems comprises at least one of a manufacturing execution system (MES), a maintenance management system (MMS), a material control system (MCS), an equipment control system (ECS), or an inventory control system (ICS); and the plurality of recipient systems comprises at least one of the MES, the MMS, the MCS, the ECS, the ICS, a dispatcher, or a scheduler. 3. The method of claim 1 wherein the predictions pertaining to the future state of the manufacturing facility include information about at least one of a future state of equipment in the facility, a composition of lots to be manufactured, a number of lots to be manufactured, a number of operators needed by the facility, an estimated time a product will finish a given process operation or be available for processing at a given step, an estimated time a preventative maintenance operation should be performed on equipment. 4. The method of claim 1 wherein receiving data from the plurality of source systems comprises:
submitting queries to the plurality of source systems to obtain data needed for a prediction data model; receiving query results from the plurality of source systems; and associating the query results with the prediction data model. 5. The method of claim 1 wherein providing the predictions to the plurality of recipient systems comprises:
storing the predictions in a database; and sending the predictions retrieved from the database to at least one of the plurality of recipient systems. 6. The method of claim 5 wherein the predictions are sent upon receiving a request from at the least one of the plurality of recipient systems. 7. The method of claim 5 further comprising:
receiving a request to subscribe to predictions from the least one of the plurality of recipient systems, the request specifying prediction parameters; and sending the predictions to subscribers periodically or upon a change in the predictions. 8. The method of claim 1 wherein the predictions are generated using at least one of simulation, forecasting, statistical prediction, trend analysis, or calculation. 9. The method of claim 4 further comprising:
receiving prediction properties from a user, the prediction properties identifying at least one of a time horizon, the plurality of source systems, query parameters, entities being predicted, a trigger of prediction generation, or a method of prediction generation. 10. The method of claim 1 further comprising:
incrementally updating the predictions. 11. The method of claim 9 wherein incrementally updating the predictions comprises:
detecting a predefined event; evaluating an impact of the event on existing predictions; and updating the existing predictions or generating new predictions depending on the impact. 12. A computer-readable medium having executable instructions to cause a computer system to perform a method comprising:
receiving data from a plurality of source systems in a manufacturing facility; generating predictions pertaining to a future state of the manufacturing facility based on the data received from the plurality of source systems; and providing the predictions to a plurality of recipient systems in the manufacturing facility. 13. The computer-readable medium of claim 12 wherein:
the plurality of source systems comprises at least one of a manufacturing execution system (MES), a maintenance management system (MMS), a material control system (MCS), an equipment control system (ECS), an inventory control system (ICS; and the plurality of recipient systems comprises at least one of the MES, the MMS, the MCS, the ECS, the ICS, a dispatcher, or a scheduler. 14. The computer-readable medium of claim 12 wherein the predictions pertaining to the future state of the manufacturing facility include information about at least one of a future state of equipment in the facility, a composition of lots to be manufactured, a number of lots to be manufactured, a number of operators needed by the facility, an estimated time a product will finish a given process operation or be available for processing at a given step, an estimated time a preventative maintenance operation should be performed on equipment. 15. The computer-readable medium of claim 12 wherein receiving data from the plurality of source systems comprises:
submitting queries to the plurality of source systems to obtain data needed for a prediction data model; receiving query results from the plurality of source systems; and associating the query results with the prediction data model. 16. The computer-readable medium of claim 12 wherein the predictions are generated using at least one of simulation, forecasting, statistical prediction, trend analysis, or calculation. 17. The computer-readable medium of claim 12 wherein the method further comprises:
incrementally updating the predictions, the incremental update comprising evaluating an impact of the event on existing predictions, and updating the existing predictions or generating new predictions depending on the impact. 18. An apparatus comprising:
a query engine to receive data from a plurality of source systems in a manufacturing facility; a prediction execution engine, coupled to the query engine, to generate predictions pertaining to a future state of the manufacturing facility based on the data received from the plurality of source systems; a prediction database, coupled to the prediction execution engine, to store the predictions; and a prediction publisher, coupled to the prediction database, to retrieve the predictions from the database and to provide the predictions to a plurality of recipient systems in the manufacturing facility. 19. The apparatus of claim 18 wherein:
the plurality of source systems comprises at least one of a manufacturing execution system (MES), a maintenance management system (MMS), a material control system (MCS), an equipment control system (ECS), or an inventory control system (ICS); and the plurality of recipient systems comprises at least one of the MES, the MMS, the MCS, the ECS, the ICS, a dispatcher, or a scheduler. 20. The apparatus of claim 18 wherein the predictions pertaining to the future state of the manufacturing facility include information about at least one of a future state of equipment in the facility, a composition of lots to be manufactured, a number of lots to be manufactured, a number of operators needed by the facility, an estimated time a product will finish a given process operation or be available for processing at a given step, an estimated time a preventative maintenance operation should be performed on equipment. 21. The apparatus of claim 18 wherein the query engine is to receive data from the plurality of source systems by
submitting queries to the plurality of source systems to obtain data needed for a prediction data model, receiving query results from the plurality of source systems, and associating the query results with the prediction data model. 22. The apparatus of claim 18 wherein the prediction execution engine is to generate the predictions using at least one of simulation, forecasting, statistical prediction, trend analysis, or calculation. 23. The apparatus of claim 21 further comprising:
a user interface module to receive prediction properties from a user, the prediction properties identifying at least one of a time horizon, the plurality of source systems, query parameters, entities being predicted, a trigger of prediction generation, or a method of prediction generation. 24. The apparatus of claim 18 further comprising a prediction repair module to incrementally update the predictions by
detecting a predefined event, evaluating an impact of the event on existing predictions, and updating the existing predictions or generating new predictions depending on the impact. | In one embodiment, a method for providing predictions pertaining to a future state of a manufacturing facility includes collecting data from various source systems in a manufacturing facility, and generating predictions pertaining to a future state of the manufacturing facility based on the collected data. The method further includes providing the predictions to recipient systems in the manufacturing facility.1. A computerized method comprising:
receiving data from a plurality of source systems in a manufacturing facility; generating predictions pertaining to a future state of the manufacturing facility based on the data received from the plurality of source systems; and providing the predictions to a plurality of recipient systems in the manufacturing facility. 2. The method of claim 1 wherein:
the plurality of source systems comprises at least one of a manufacturing execution system (MES), a maintenance management system (MMS), a material control system (MCS), an equipment control system (ECS), or an inventory control system (ICS); and the plurality of recipient systems comprises at least one of the MES, the MMS, the MCS, the ECS, the ICS, a dispatcher, or a scheduler. 3. The method of claim 1 wherein the predictions pertaining to the future state of the manufacturing facility include information about at least one of a future state of equipment in the facility, a composition of lots to be manufactured, a number of lots to be manufactured, a number of operators needed by the facility, an estimated time a product will finish a given process operation or be available for processing at a given step, an estimated time a preventative maintenance operation should be performed on equipment. 4. The method of claim 1 wherein receiving data from the plurality of source systems comprises:
submitting queries to the plurality of source systems to obtain data needed for a prediction data model; receiving query results from the plurality of source systems; and associating the query results with the prediction data model. 5. The method of claim 1 wherein providing the predictions to the plurality of recipient systems comprises:
storing the predictions in a database; and sending the predictions retrieved from the database to at least one of the plurality of recipient systems. 6. The method of claim 5 wherein the predictions are sent upon receiving a request from at the least one of the plurality of recipient systems. 7. The method of claim 5 further comprising:
receiving a request to subscribe to predictions from the least one of the plurality of recipient systems, the request specifying prediction parameters; and sending the predictions to subscribers periodically or upon a change in the predictions. 8. The method of claim 1 wherein the predictions are generated using at least one of simulation, forecasting, statistical prediction, trend analysis, or calculation. 9. The method of claim 4 further comprising:
receiving prediction properties from a user, the prediction properties identifying at least one of a time horizon, the plurality of source systems, query parameters, entities being predicted, a trigger of prediction generation, or a method of prediction generation. 10. The method of claim 1 further comprising:
incrementally updating the predictions. 11. The method of claim 9 wherein incrementally updating the predictions comprises:
detecting a predefined event; evaluating an impact of the event on existing predictions; and updating the existing predictions or generating new predictions depending on the impact. 12. A computer-readable medium having executable instructions to cause a computer system to perform a method comprising:
receiving data from a plurality of source systems in a manufacturing facility; generating predictions pertaining to a future state of the manufacturing facility based on the data received from the plurality of source systems; and providing the predictions to a plurality of recipient systems in the manufacturing facility. 13. The computer-readable medium of claim 12 wherein:
the plurality of source systems comprises at least one of a manufacturing execution system (MES), a maintenance management system (MMS), a material control system (MCS), an equipment control system (ECS), an inventory control system (ICS; and the plurality of recipient systems comprises at least one of the MES, the MMS, the MCS, the ECS, the ICS, a dispatcher, or a scheduler. 14. The computer-readable medium of claim 12 wherein the predictions pertaining to the future state of the manufacturing facility include information about at least one of a future state of equipment in the facility, a composition of lots to be manufactured, a number of lots to be manufactured, a number of operators needed by the facility, an estimated time a product will finish a given process operation or be available for processing at a given step, an estimated time a preventative maintenance operation should be performed on equipment. 15. The computer-readable medium of claim 12 wherein receiving data from the plurality of source systems comprises:
submitting queries to the plurality of source systems to obtain data needed for a prediction data model; receiving query results from the plurality of source systems; and associating the query results with the prediction data model. 16. The computer-readable medium of claim 12 wherein the predictions are generated using at least one of simulation, forecasting, statistical prediction, trend analysis, or calculation. 17. The computer-readable medium of claim 12 wherein the method further comprises:
incrementally updating the predictions, the incremental update comprising evaluating an impact of the event on existing predictions, and updating the existing predictions or generating new predictions depending on the impact. 18. An apparatus comprising:
a query engine to receive data from a plurality of source systems in a manufacturing facility; a prediction execution engine, coupled to the query engine, to generate predictions pertaining to a future state of the manufacturing facility based on the data received from the plurality of source systems; a prediction database, coupled to the prediction execution engine, to store the predictions; and a prediction publisher, coupled to the prediction database, to retrieve the predictions from the database and to provide the predictions to a plurality of recipient systems in the manufacturing facility. 19. The apparatus of claim 18 wherein:
the plurality of source systems comprises at least one of a manufacturing execution system (MES), a maintenance management system (MMS), a material control system (MCS), an equipment control system (ECS), or an inventory control system (ICS); and the plurality of recipient systems comprises at least one of the MES, the MMS, the MCS, the ECS, the ICS, a dispatcher, or a scheduler. 20. The apparatus of claim 18 wherein the predictions pertaining to the future state of the manufacturing facility include information about at least one of a future state of equipment in the facility, a composition of lots to be manufactured, a number of lots to be manufactured, a number of operators needed by the facility, an estimated time a product will finish a given process operation or be available for processing at a given step, an estimated time a preventative maintenance operation should be performed on equipment. 21. The apparatus of claim 18 wherein the query engine is to receive data from the plurality of source systems by
submitting queries to the plurality of source systems to obtain data needed for a prediction data model, receiving query results from the plurality of source systems, and associating the query results with the prediction data model. 22. The apparatus of claim 18 wherein the prediction execution engine is to generate the predictions using at least one of simulation, forecasting, statistical prediction, trend analysis, or calculation. 23. The apparatus of claim 21 further comprising:
a user interface module to receive prediction properties from a user, the prediction properties identifying at least one of a time horizon, the plurality of source systems, query parameters, entities being predicted, a trigger of prediction generation, or a method of prediction generation. 24. The apparatus of claim 18 further comprising a prediction repair module to incrementally update the predictions by
detecting a predefined event, evaluating an impact of the event on existing predictions, and updating the existing predictions or generating new predictions depending on the impact. | 3,600 |
13,662 | 13,662 | 13,336,293 | 3,688 | One or more consumers proximate to a kiosk can be detected. The kiosk can present a product advertisement associated with a product. The product can be a good or a service. Metrics associated with the consumers can be collected responsive to interacting with the product advertisement. The interaction can be a visual and aural interaction. The metrics can be analyzed to determine an impression associated with the consumers interacting with the product advertisement. The impression can be a rational descriptor and/or an emotional descriptor. The rational descriptor and/or emotional descriptor can be a computer readable value associated with a behavioral change of the consumers responsive to the interacting. A normalized content can be generated based on the impression associated with the consumer. The normalized content can adjust the product advertisement to improve the impression. | 1. A method for determining consumer impression of a product associated with an advertisement comprising:
detecting a plurality of consumers proximate to a kiosk, wherein the kiosk presents a product advertisement associated with a product, wherein the product is at least one of a good and service; collecting metrics associated with the at least one of the plurality of consumers responsive to interacting with the product advertisement, wherein the interaction is at least one of a visual and aural interaction; analyzing the metrics to determine an impression associated with the at least one of the plurality of consumers interacting with the product advertisement, wherein the impression is at least one of a rational descriptor and an emotional descriptor, wherein the at least one of the rational descriptor and emotional descriptor is a computer readable value associated with a behavioral change of the at least one of the plurality of the consumers responsive to the interacting; and generating a normalized content based on the impression associated with the consumer, wherein the normalized content adjusts the product advertisement to improve the impression. 2. The method of claim 1, wherein the metrics is obtained from at least one of a video and audio source. 3. The method of claim 1, wherein the metrics is obtained from a plurality of kiosks over a duration of time, wherein the metrics is associated with the plurality of consumers, wherein the plurality of kiosks is associated with a plurality of different geographic locations. 4. The method of claim 1, wherein the metrics is at least one of a verbal and non-verbal communication, wherein the non-verbal communication is at least one of a facial characteristic, a gesture, and a proxemics value, wherein the verbal communication is a speech utterance. 5. The method of claim 1, wherein the kiosk is at least one of an electronic kiosk, a billboard, and signage. 6. The method of claim 1, further comprising:
identifying a different product advertisement associated with the product; predicting the impression of at least one of the plurality of consumers associated with the different advertisement. 7. The method of claim 1, further comprising:
identifying at least one of the plurality of consumers using facial recognition; establishing the at least one of the plurality of consumers is associated with a group; evaluating the impression associated with the at least one of the plurality of the consumers against group data associated with the group; and determining the significance of the at least one of the plurality of consumers impression. 8. The method of claim 1, further comprising:
comparing the impression of one of the plurality of consumers to a different one of the plurality of consumers to create a group impression. 9. The method of claim 8, further comprising:
analyzing the group impression to determine an interest level; and when the interest level is unfavorable, conveying a normalization content to the kiosk and normalizing the advertisement based on the normalization content. 10. A system for determining group impressions of a product advertisement comprising:
an impression engine configured to establish a group impression of a product advertisement, wherein the advertisement is associated with a kiosk, wherein the advertisement is associated with a product information, wherein the product information is associated with a product, wherein the product is at least one of a good and a service; a data store configured to store at least one of the group impression and a normalization content. 11. The system of claim 10, further comprising:
a metrics engine able to collect metrics in real-time associated with a plurality of consumers proximate to the kiosk; an analyzer configured to automatically analyze metrics to determine an impression associated with the plurality of consumers interacting with the product advertisement, wherein the interacting is at least one of a visual, aural, and tactile interacting, wherein the impression is comprised of at least one of a rational descriptor and an emotional descriptor, wherein the at least one of the rational descriptor and emotional descriptor is a computer readable value associated with a behavioral change of the at least one of the plurality of the consumers responsive to the interacting; and a normalization component able to modify the product advertisement responsive to the evaluation of the impression. 12. An apparatus for determining group impressions of a product advertisement comprising:
a product kiosk having a plurality of sensors able to collect metrics in real-time associated with a plurality of consumers proximate to the kiosk, wherein the kiosk is configured to automatically determine an impression of the plurality of consumers, wherein the impression is associated with a product advertisement, wherein the product advertisement is comprised of product information. 13. The apparatus of claim 12, wherein the impression is a group impression, wherein the group impression is a plurality of impressions aggregated from each one of the plurality of consumers. 14. The apparatus of claim 13, further comprising:
evaluating the group impression against a target data to determine an appropriate interest level; and programmatically changing the display of the kiosk responsive to the interest level, wherein the changing of the display is a content change associated with the product advertisement, wherein the content change is associated with the normalization content. 15. The apparatus of claim 12, wherein the kiosk is at least one of an electronic kiosk, a billboard, and signage. 16. The apparatus of claim 12, wherein the metrics is obtained from at least one of a video and audio source. 17. The apparatus of claim 12, wherein the metrics is an interaction metric, wherein the interaction metric is a tactile metric. 18. The apparatus of claim 12, wherein the metrics is at least one of a verbal and non-verbal communication, wherein the non-verbal communication is at least one of a facial characteristic, a gesture, and a proxemics value, wherein the verbal communication is a speech utterance. 19. The apparatus of claim 12, wherein the plurality of sensors is at least one of a camera, a microphone, a touch screen, a barometer, and a thermometer. 20. The apparatus of claim 12, wherein the metrics is obtained from a plurality of kiosks over a duration of time, wherein the metrics is associated with the plurality of consumers. | One or more consumers proximate to a kiosk can be detected. The kiosk can present a product advertisement associated with a product. The product can be a good or a service. Metrics associated with the consumers can be collected responsive to interacting with the product advertisement. The interaction can be a visual and aural interaction. The metrics can be analyzed to determine an impression associated with the consumers interacting with the product advertisement. The impression can be a rational descriptor and/or an emotional descriptor. The rational descriptor and/or emotional descriptor can be a computer readable value associated with a behavioral change of the consumers responsive to the interacting. A normalized content can be generated based on the impression associated with the consumer. The normalized content can adjust the product advertisement to improve the impression.1. A method for determining consumer impression of a product associated with an advertisement comprising:
detecting a plurality of consumers proximate to a kiosk, wherein the kiosk presents a product advertisement associated with a product, wherein the product is at least one of a good and service; collecting metrics associated with the at least one of the plurality of consumers responsive to interacting with the product advertisement, wherein the interaction is at least one of a visual and aural interaction; analyzing the metrics to determine an impression associated with the at least one of the plurality of consumers interacting with the product advertisement, wherein the impression is at least one of a rational descriptor and an emotional descriptor, wherein the at least one of the rational descriptor and emotional descriptor is a computer readable value associated with a behavioral change of the at least one of the plurality of the consumers responsive to the interacting; and generating a normalized content based on the impression associated with the consumer, wherein the normalized content adjusts the product advertisement to improve the impression. 2. The method of claim 1, wherein the metrics is obtained from at least one of a video and audio source. 3. The method of claim 1, wherein the metrics is obtained from a plurality of kiosks over a duration of time, wherein the metrics is associated with the plurality of consumers, wherein the plurality of kiosks is associated with a plurality of different geographic locations. 4. The method of claim 1, wherein the metrics is at least one of a verbal and non-verbal communication, wherein the non-verbal communication is at least one of a facial characteristic, a gesture, and a proxemics value, wherein the verbal communication is a speech utterance. 5. The method of claim 1, wherein the kiosk is at least one of an electronic kiosk, a billboard, and signage. 6. The method of claim 1, further comprising:
identifying a different product advertisement associated with the product; predicting the impression of at least one of the plurality of consumers associated with the different advertisement. 7. The method of claim 1, further comprising:
identifying at least one of the plurality of consumers using facial recognition; establishing the at least one of the plurality of consumers is associated with a group; evaluating the impression associated with the at least one of the plurality of the consumers against group data associated with the group; and determining the significance of the at least one of the plurality of consumers impression. 8. The method of claim 1, further comprising:
comparing the impression of one of the plurality of consumers to a different one of the plurality of consumers to create a group impression. 9. The method of claim 8, further comprising:
analyzing the group impression to determine an interest level; and when the interest level is unfavorable, conveying a normalization content to the kiosk and normalizing the advertisement based on the normalization content. 10. A system for determining group impressions of a product advertisement comprising:
an impression engine configured to establish a group impression of a product advertisement, wherein the advertisement is associated with a kiosk, wherein the advertisement is associated with a product information, wherein the product information is associated with a product, wherein the product is at least one of a good and a service; a data store configured to store at least one of the group impression and a normalization content. 11. The system of claim 10, further comprising:
a metrics engine able to collect metrics in real-time associated with a plurality of consumers proximate to the kiosk; an analyzer configured to automatically analyze metrics to determine an impression associated with the plurality of consumers interacting with the product advertisement, wherein the interacting is at least one of a visual, aural, and tactile interacting, wherein the impression is comprised of at least one of a rational descriptor and an emotional descriptor, wherein the at least one of the rational descriptor and emotional descriptor is a computer readable value associated with a behavioral change of the at least one of the plurality of the consumers responsive to the interacting; and a normalization component able to modify the product advertisement responsive to the evaluation of the impression. 12. An apparatus for determining group impressions of a product advertisement comprising:
a product kiosk having a plurality of sensors able to collect metrics in real-time associated with a plurality of consumers proximate to the kiosk, wherein the kiosk is configured to automatically determine an impression of the plurality of consumers, wherein the impression is associated with a product advertisement, wherein the product advertisement is comprised of product information. 13. The apparatus of claim 12, wherein the impression is a group impression, wherein the group impression is a plurality of impressions aggregated from each one of the plurality of consumers. 14. The apparatus of claim 13, further comprising:
evaluating the group impression against a target data to determine an appropriate interest level; and programmatically changing the display of the kiosk responsive to the interest level, wherein the changing of the display is a content change associated with the product advertisement, wherein the content change is associated with the normalization content. 15. The apparatus of claim 12, wherein the kiosk is at least one of an electronic kiosk, a billboard, and signage. 16. The apparatus of claim 12, wherein the metrics is obtained from at least one of a video and audio source. 17. The apparatus of claim 12, wherein the metrics is an interaction metric, wherein the interaction metric is a tactile metric. 18. The apparatus of claim 12, wherein the metrics is at least one of a verbal and non-verbal communication, wherein the non-verbal communication is at least one of a facial characteristic, a gesture, and a proxemics value, wherein the verbal communication is a speech utterance. 19. The apparatus of claim 12, wherein the plurality of sensors is at least one of a camera, a microphone, a touch screen, a barometer, and a thermometer. 20. The apparatus of claim 12, wherein the metrics is obtained from a plurality of kiosks over a duration of time, wherein the metrics is associated with the plurality of consumers. | 3,600 |
13,663 | 13,663 | 15,298,970 | 3,663 | Among other things, a vehicle is caused to drive autonomously through a road network toward a defined goal position, and, if no potential stopping place that is in the vicinity of the goal position and is acceptable and feasible can be identified, a human operator not onboard the vehicle is enabled to drive the vehicle to a stopping place. | 1. A computer-based method comprising:
causing a vehicle to drive autonomously through a road network toward a defined goal position, and if no potential stopping place that is in the vicinity of the goal position and is acceptable and feasible can be identified, enabling a human operator not onboard the vehicle to drive the vehicle to a stopping place. 2. The method of claim 1 comprising providing information for presenting to the human operator a view associated with a state of the vehicle. 3. The method of claim 1 comprising enabling the human operator to provide inputs to the steering, throttle, brake, or other actuators of the vehicle. 4. The method of claim 1 comprising enabling the human operator to directly control a trajectory planning process for the vehicle by manually selecting a goal position for the vehicle or influencing the planned trajectory to the goal position. 5. The method of claim 1 comprising informing a passenger in the vehicle or requesting consent by a passenger in the vehicle to the human operator driving the vehicle to the stopping place. | Among other things, a vehicle is caused to drive autonomously through a road network toward a defined goal position, and, if no potential stopping place that is in the vicinity of the goal position and is acceptable and feasible can be identified, a human operator not onboard the vehicle is enabled to drive the vehicle to a stopping place.1. A computer-based method comprising:
causing a vehicle to drive autonomously through a road network toward a defined goal position, and if no potential stopping place that is in the vicinity of the goal position and is acceptable and feasible can be identified, enabling a human operator not onboard the vehicle to drive the vehicle to a stopping place. 2. The method of claim 1 comprising providing information for presenting to the human operator a view associated with a state of the vehicle. 3. The method of claim 1 comprising enabling the human operator to provide inputs to the steering, throttle, brake, or other actuators of the vehicle. 4. The method of claim 1 comprising enabling the human operator to directly control a trajectory planning process for the vehicle by manually selecting a goal position for the vehicle or influencing the planned trajectory to the goal position. 5. The method of claim 1 comprising informing a passenger in the vehicle or requesting consent by a passenger in the vehicle to the human operator driving the vehicle to the stopping place. | 3,600 |
13,664 | 13,664 | 13,282,199 | 3,621 | Systems and methods to deliver a location-aware offer based on past demonstrated intent to purchase are discussed. For example, a method to deliver a location-aware offer can include operations for receiving a current location, determining when the user is within a pre-defined proximity to a merchant location, accessing user profile data, generating an offer, and delivering the offer to a client device. The current location can represent the physical location of a client device. The user profile data including an intended purchase list. Generating the offer includes matching inventory available at the merchant location to an item on the intended purchase list. | 1. A method to deliver a location-aware offer based on past intent to purchase, the method comprising:
receiving, at a network-based system, current location data specifying a current location of a client device associated with a user; determining, using one or more processors within the network-based system, when the user is within a pre-defined proximity to a merchant location based on the current location data; when the user is determined to be within the pre-defined proximity to the merchant location, accessing, from the network-based system, user profile data associated with the user, the user profile data including an intended purchase list including at least one product or service that the user has demonstrated an interest in purchasing; generating, using the one or more processors within the network-based system, an offer based on matching inventory available at the merchant location to one or more items on the intended purchase list associated with the user; and delivering, over a network connection between the network-based system and a client device associated with the user, the offer to the client device?. 2. The method of claim 1, wherein the determining when the user is within the pre-defined proximity to the merchant location includes detecting when the client device enters the merchant location. 3. The method of claim 1, wherein the determining when the user is within the pre-defined proximity to the merchant location includes detecting when the client device enters a geofence surrounding the merchant location. 4. The method of claim 1, wherein the determining when the user is within the pre-defined proximity to the merchant location includes detecting when the current location of the client device is within a pre-defined radius around the merchant location. 5. The method of claim 1, wherein the determining when the user is within the pre-defined proximity to the merchant location includes detecting a check-in associated with the merchant location on the client device. 6. The method of claim 1, further comprising:
receiving, at the network-based system, an intended purchase indicator associated with the user; and storing, using the one or more processors within the network-based system, the intended purchase indicator within the intended purchase list for the user. 7. The method of claim 6, wherein receiving the intended purchase indicator includes receiving information representative of an explicit or implicit action by the user representative of an interest in purchasing a particular product or service. 8. The method of claim 7, wherein receiving information representative of an explicit or implicit action by the user representative of an interest in purchasing a particular product or service includes receiving information representative of the user performing one of the following operations:
abandoning an item in a virtual shopping cart; losing art auction after placing a bid within the auction; losing a watched auction; failing to bid on a watched auction; placing an item on a wish list; viewing a coupon associated with a particular product or service; researching a particular product or service online; and storing a coupon or offer associated with a particular product or service within a virtual wallet. 9. A method of receiving a location-aware offer on a mobile device, the method comprising:
maintaining, on the client device, an intended purchase list; detecting, on the client device, a current location; transmitting, to a network-based system, the intended purchase list and the current location detected by the client device; and receiving, on the mobile device, an offer from a merchant associated with the current location, the offer generated by the network-based system based on matching inventory available from the merchant in proximity to the current location with one or more items on the intended purchase list. 10. The method of claim 9, wherein maintaining the intended purchase list includes storing input representative of a particular product or service received on the client device. 11. The method claim 9, wherein maintaining the intended purchase list includes polling one or more network-based merchant systems for user profile data associated with the user of the client device, the user profile data including information representative of an explicit or implicit action by the user representative of an interest in purchasing a particular product or service. 12. A system comprising:
a location module configured to:
receive a current location associated with a user from a mobile device; and
determine, based on the current location, when the user is within a pre-defined proximity to a merchant location;
a user profile module configured to access user profile data associated with the user, the user profile data including an intended purchase list including a plurality of products or services that the user has demonstrated an interest in purchasing; an inventory module configured to maintain a current inventory of the merchant location; and an offer engine configured to:
generate an offer based on matching one or more items within the current inventory to one or more items on the intended purchase list associated with the user; and
deliver the offer over a network connection between the system and the mobile device. 13. The system of claim 12, wherein the location module is further configured to determine when the user is within the pre-defined proximity to the merchant location by detecting when the client device enters the merchant location. 14. The system of claim 12, wherein the location module is further configured to determine when the user is within the pre-defined proximity to the merchant location by detecting when the client device enters a geofence surrounding the merchant location, the geofence defined by a merchant associated with the merchant location. 15. The system of claim 12, wherein the location module is further configured to determine when the user is within the pre-defined proximity to the merchant location by detecting when the current location of the client device is within a pre-defined radius around the merchant location. 16. The system of claim 12, wherein the location module is further configured to determine when the user is within the pre-defined proximity to the merchant location by detecting a check-in associated with the merchant location on the client device. 17. The system of claim 12, wherein the user profile module is further configured to:
receive an intended purchase indicator associated with the user; and store the intended purchase indicator within the intended purchase list for the user. 18. The system of claim 17, wherein the user profile module is further configured to receive the intended purchase indicator by receiving information representative of an explicit or implicit action by the user representative of an interest in purchasing a particular product or service. 19. The system of claim 18, wherein the user profile module receives information representative of the explicit or implicit action by the user representative of an interest in purchasing a particular product or service including receiving information representative of the user performing one of the following operations:
abandoning an item in a virtual shopping cart; losing an auction after placing a bid within the auction; losing a watched auction; failing to bid on a watched auction; placing an item on a wish list; viewing a coupon associated with a particular product or service; researching a particular product or service online; and storing a coupon or offer associated with a particular product or service within a virtual wallet. 20. A system comprising:
a network adaptor configured to send and receive data packets over a network; a processor communicatively coupled to the network adaptor; and a memory device, the memory device communicatively coupled to the processor and including instructions which, when performed on the processor, cause the processor to:
receive a current location from a client device via the network adaptor, the current location associated with a user;
determine when the user is within a pre-defined proximity to a merchant location;
when the user is determined to be within the pre-defined proximity to the merchant location, access user profile data associated with the user, the user profile data including an intended purchase list including a plurality of products or services that the user has demonstrated an interest in purchasing;
generate an offer based on matching inventory available at the merchant location to one or more items on the intended purchase list associated with the user; and
deliver, via the network adaptor, the offer to the client device. | Systems and methods to deliver a location-aware offer based on past demonstrated intent to purchase are discussed. For example, a method to deliver a location-aware offer can include operations for receiving a current location, determining when the user is within a pre-defined proximity to a merchant location, accessing user profile data, generating an offer, and delivering the offer to a client device. The current location can represent the physical location of a client device. The user profile data including an intended purchase list. Generating the offer includes matching inventory available at the merchant location to an item on the intended purchase list.1. A method to deliver a location-aware offer based on past intent to purchase, the method comprising:
receiving, at a network-based system, current location data specifying a current location of a client device associated with a user; determining, using one or more processors within the network-based system, when the user is within a pre-defined proximity to a merchant location based on the current location data; when the user is determined to be within the pre-defined proximity to the merchant location, accessing, from the network-based system, user profile data associated with the user, the user profile data including an intended purchase list including at least one product or service that the user has demonstrated an interest in purchasing; generating, using the one or more processors within the network-based system, an offer based on matching inventory available at the merchant location to one or more items on the intended purchase list associated with the user; and delivering, over a network connection between the network-based system and a client device associated with the user, the offer to the client device?. 2. The method of claim 1, wherein the determining when the user is within the pre-defined proximity to the merchant location includes detecting when the client device enters the merchant location. 3. The method of claim 1, wherein the determining when the user is within the pre-defined proximity to the merchant location includes detecting when the client device enters a geofence surrounding the merchant location. 4. The method of claim 1, wherein the determining when the user is within the pre-defined proximity to the merchant location includes detecting when the current location of the client device is within a pre-defined radius around the merchant location. 5. The method of claim 1, wherein the determining when the user is within the pre-defined proximity to the merchant location includes detecting a check-in associated with the merchant location on the client device. 6. The method of claim 1, further comprising:
receiving, at the network-based system, an intended purchase indicator associated with the user; and storing, using the one or more processors within the network-based system, the intended purchase indicator within the intended purchase list for the user. 7. The method of claim 6, wherein receiving the intended purchase indicator includes receiving information representative of an explicit or implicit action by the user representative of an interest in purchasing a particular product or service. 8. The method of claim 7, wherein receiving information representative of an explicit or implicit action by the user representative of an interest in purchasing a particular product or service includes receiving information representative of the user performing one of the following operations:
abandoning an item in a virtual shopping cart; losing art auction after placing a bid within the auction; losing a watched auction; failing to bid on a watched auction; placing an item on a wish list; viewing a coupon associated with a particular product or service; researching a particular product or service online; and storing a coupon or offer associated with a particular product or service within a virtual wallet. 9. A method of receiving a location-aware offer on a mobile device, the method comprising:
maintaining, on the client device, an intended purchase list; detecting, on the client device, a current location; transmitting, to a network-based system, the intended purchase list and the current location detected by the client device; and receiving, on the mobile device, an offer from a merchant associated with the current location, the offer generated by the network-based system based on matching inventory available from the merchant in proximity to the current location with one or more items on the intended purchase list. 10. The method of claim 9, wherein maintaining the intended purchase list includes storing input representative of a particular product or service received on the client device. 11. The method claim 9, wherein maintaining the intended purchase list includes polling one or more network-based merchant systems for user profile data associated with the user of the client device, the user profile data including information representative of an explicit or implicit action by the user representative of an interest in purchasing a particular product or service. 12. A system comprising:
a location module configured to:
receive a current location associated with a user from a mobile device; and
determine, based on the current location, when the user is within a pre-defined proximity to a merchant location;
a user profile module configured to access user profile data associated with the user, the user profile data including an intended purchase list including a plurality of products or services that the user has demonstrated an interest in purchasing; an inventory module configured to maintain a current inventory of the merchant location; and an offer engine configured to:
generate an offer based on matching one or more items within the current inventory to one or more items on the intended purchase list associated with the user; and
deliver the offer over a network connection between the system and the mobile device. 13. The system of claim 12, wherein the location module is further configured to determine when the user is within the pre-defined proximity to the merchant location by detecting when the client device enters the merchant location. 14. The system of claim 12, wherein the location module is further configured to determine when the user is within the pre-defined proximity to the merchant location by detecting when the client device enters a geofence surrounding the merchant location, the geofence defined by a merchant associated with the merchant location. 15. The system of claim 12, wherein the location module is further configured to determine when the user is within the pre-defined proximity to the merchant location by detecting when the current location of the client device is within a pre-defined radius around the merchant location. 16. The system of claim 12, wherein the location module is further configured to determine when the user is within the pre-defined proximity to the merchant location by detecting a check-in associated with the merchant location on the client device. 17. The system of claim 12, wherein the user profile module is further configured to:
receive an intended purchase indicator associated with the user; and store the intended purchase indicator within the intended purchase list for the user. 18. The system of claim 17, wherein the user profile module is further configured to receive the intended purchase indicator by receiving information representative of an explicit or implicit action by the user representative of an interest in purchasing a particular product or service. 19. The system of claim 18, wherein the user profile module receives information representative of the explicit or implicit action by the user representative of an interest in purchasing a particular product or service including receiving information representative of the user performing one of the following operations:
abandoning an item in a virtual shopping cart; losing an auction after placing a bid within the auction; losing a watched auction; failing to bid on a watched auction; placing an item on a wish list; viewing a coupon associated with a particular product or service; researching a particular product or service online; and storing a coupon or offer associated with a particular product or service within a virtual wallet. 20. A system comprising:
a network adaptor configured to send and receive data packets over a network; a processor communicatively coupled to the network adaptor; and a memory device, the memory device communicatively coupled to the processor and including instructions which, when performed on the processor, cause the processor to:
receive a current location from a client device via the network adaptor, the current location associated with a user;
determine when the user is within a pre-defined proximity to a merchant location;
when the user is determined to be within the pre-defined proximity to the merchant location, access user profile data associated with the user, the user profile data including an intended purchase list including a plurality of products or services that the user has demonstrated an interest in purchasing;
generate an offer based on matching inventory available at the merchant location to one or more items on the intended purchase list associated with the user; and
deliver, via the network adaptor, the offer to the client device. | 3,600 |
13,665 | 13,665 | 12,236,253 | 3,623 | Calendar entries can be added indicating a proposed change to a calendar event to electronic calendars of all event attendees when the proposed change is pending approval. This puts the attendees on notice of a possible change in a time or place of the calendar event so that these attendees can choose not to schedule conflicting calendar events while the proposed change is pending. | 1. A method for preventing scheduling conflicts comprising:
adding calendar entries indicating a proposed change to a calendar event to electronic calendars of all event attendees when the proposed change is pending approval. 2. The method of claim 1, further comprising:
adding an annotation indicating a pending proposed change to entries for an original calendar event to the electronic calendars of all event attendees when the proposed change is pending approval, wherein the original calendar event is the event to which the proposed change applies. 3. The method of claim 1, wherein the proposed change indicates a new time for the calendar event, and wherein the added calendar entries are associated with the new time. 4. The method of claim 3, further comprising:
checking the calendars of all event attendees for conflicts with the new time when establishing the new time. 5. The method of claim 2, further comprising:
detecting an decision from a user in charge of the calendar event regarding the proposed change; and updating the added calendar entries of the electronic calendars of all event attendees in accordance with the detected decision. 6. The method of claim 5, wherein the decision is one to deny the proposed change, said updating of the added calendar entries comprising:
deleting the added calendar entries from the electronic calendars of all event attendees responsive to the decision being detected. 7. The method of claim 2, wherein the decision is one to deny the proposed change, said updating of the added calendar entries comprising:
deleting the added calendar entries from the electronic calendars of all event attendees responsive to the decision being detected; and deleting the added annotation indicating the pending proposed change from all of the calendars. 8. The method of claim 5, wherein the decision is one to accept the proposed change, said updating of the added calendar entries comprising:
deleting from the electronic calendars of event attendees entries associated with an original calendar event to which the proposed change applies; changing the added calendar entries in all the electronic calendars of event attendees to a standard calendar entry as opposed to a proposed, yet unconfirmed, one. 9. The method of claim 8, further comprising
sending new meeting invitations to all event attendees for the changed calendar entries, wherein responses to the meeting invitations indicate to a user in charge of the calendar event whether a responding invitee intends to attend the changed calendar event. 10. The method of claim 9, further comprising:
sending meeting invitations to all invitees of an original calendar event that refused an initial invitation for the original calendar event. 11. The method of claim 1, further comprising:
presenting indicators of the added calendar entries indicating the proposed change within user interfaces in which the calendars are presented, wherein the presented indicators distinguish the added calendar entries associated with the proposed change from other types of calendar entries. 12. The method of claim 2, further comprising:
presenting proposal indicators indicating an existence of a proposed change within user interface in which the calendars are presented, wherein the presented proposal indicators distinguish the original calendar events from other events that have no proposed changes associated with them. 13. A user interface for a calendaring application comprising:
at least one proposal interface element indicating a pending proposed change to an original calendar entry, wherein the pending proposed change indicates an desired change to the original calendar event that has yet to be decided upon by a user in charge of the original calendar event, wherein the desired change is one submitted by a user other than a user of the user interface and other than the user in charge of the original calendar event. 14. The user interface of claim 13, further comprising:
at least calendar interface element associated with the original calendar event that indicates at least one pending proposed change is associated with the original calendar event. 15. The user interface of claim 14, wherein said user interface is a graphical user interface and wherein the proposed interface element and the calendar interface element are presented in calendar controls associated with times of the pending proposed change and the related calendar event, respectively. 16. A computer program product for preventing scheduling conflicts comprising a computer usable medium having computer usable program code embodied therewith, the computer usable program code comprising:
computer usable program code configured to add calendar entries indicating a proposed change to a calendar event to electronic calendars of all event attendees when the proposed change is pending approval. 17. The computer program product of claim 16, further comprising:
computer usable program code configured to add an annotation indicating a pending proposed change to entries for an original calendar event to the electronic calendars of all event attendees when the proposed change is pending approval, wherein the original calendar event is the event to which the proposed change applies. 18. The computer program product of claim 16, wherein the proposed change indicates a new time for the calendar event, and wherein the added calendar entries are associated with the new time. 19. The computer program product of claim 16, further comprising:
computer usable program code configured to present indicators of the added calendar entries indicating the proposed change within user interfaces in which the calendars are presented, wherein the presented indicators distinguish the added calendar entries associated with the proposed change from other types of calendar entries. 20. The computer program product of claim 17, further comprising:
computer usable program code configured to present proposal indicators indicating an existence of a proposed change within user interface in which the calendars are presented, wherein the presented proposal indicators distinguish the original calendar events from other events that have no proposed changes associated with them. | Calendar entries can be added indicating a proposed change to a calendar event to electronic calendars of all event attendees when the proposed change is pending approval. This puts the attendees on notice of a possible change in a time or place of the calendar event so that these attendees can choose not to schedule conflicting calendar events while the proposed change is pending.1. A method for preventing scheduling conflicts comprising:
adding calendar entries indicating a proposed change to a calendar event to electronic calendars of all event attendees when the proposed change is pending approval. 2. The method of claim 1, further comprising:
adding an annotation indicating a pending proposed change to entries for an original calendar event to the electronic calendars of all event attendees when the proposed change is pending approval, wherein the original calendar event is the event to which the proposed change applies. 3. The method of claim 1, wherein the proposed change indicates a new time for the calendar event, and wherein the added calendar entries are associated with the new time. 4. The method of claim 3, further comprising:
checking the calendars of all event attendees for conflicts with the new time when establishing the new time. 5. The method of claim 2, further comprising:
detecting an decision from a user in charge of the calendar event regarding the proposed change; and updating the added calendar entries of the electronic calendars of all event attendees in accordance with the detected decision. 6. The method of claim 5, wherein the decision is one to deny the proposed change, said updating of the added calendar entries comprising:
deleting the added calendar entries from the electronic calendars of all event attendees responsive to the decision being detected. 7. The method of claim 2, wherein the decision is one to deny the proposed change, said updating of the added calendar entries comprising:
deleting the added calendar entries from the electronic calendars of all event attendees responsive to the decision being detected; and deleting the added annotation indicating the pending proposed change from all of the calendars. 8. The method of claim 5, wherein the decision is one to accept the proposed change, said updating of the added calendar entries comprising:
deleting from the electronic calendars of event attendees entries associated with an original calendar event to which the proposed change applies; changing the added calendar entries in all the electronic calendars of event attendees to a standard calendar entry as opposed to a proposed, yet unconfirmed, one. 9. The method of claim 8, further comprising
sending new meeting invitations to all event attendees for the changed calendar entries, wherein responses to the meeting invitations indicate to a user in charge of the calendar event whether a responding invitee intends to attend the changed calendar event. 10. The method of claim 9, further comprising:
sending meeting invitations to all invitees of an original calendar event that refused an initial invitation for the original calendar event. 11. The method of claim 1, further comprising:
presenting indicators of the added calendar entries indicating the proposed change within user interfaces in which the calendars are presented, wherein the presented indicators distinguish the added calendar entries associated with the proposed change from other types of calendar entries. 12. The method of claim 2, further comprising:
presenting proposal indicators indicating an existence of a proposed change within user interface in which the calendars are presented, wherein the presented proposal indicators distinguish the original calendar events from other events that have no proposed changes associated with them. 13. A user interface for a calendaring application comprising:
at least one proposal interface element indicating a pending proposed change to an original calendar entry, wherein the pending proposed change indicates an desired change to the original calendar event that has yet to be decided upon by a user in charge of the original calendar event, wherein the desired change is one submitted by a user other than a user of the user interface and other than the user in charge of the original calendar event. 14. The user interface of claim 13, further comprising:
at least calendar interface element associated with the original calendar event that indicates at least one pending proposed change is associated with the original calendar event. 15. The user interface of claim 14, wherein said user interface is a graphical user interface and wherein the proposed interface element and the calendar interface element are presented in calendar controls associated with times of the pending proposed change and the related calendar event, respectively. 16. A computer program product for preventing scheduling conflicts comprising a computer usable medium having computer usable program code embodied therewith, the computer usable program code comprising:
computer usable program code configured to add calendar entries indicating a proposed change to a calendar event to electronic calendars of all event attendees when the proposed change is pending approval. 17. The computer program product of claim 16, further comprising:
computer usable program code configured to add an annotation indicating a pending proposed change to entries for an original calendar event to the electronic calendars of all event attendees when the proposed change is pending approval, wherein the original calendar event is the event to which the proposed change applies. 18. The computer program product of claim 16, wherein the proposed change indicates a new time for the calendar event, and wherein the added calendar entries are associated with the new time. 19. The computer program product of claim 16, further comprising:
computer usable program code configured to present indicators of the added calendar entries indicating the proposed change within user interfaces in which the calendars are presented, wherein the presented indicators distinguish the added calendar entries associated with the proposed change from other types of calendar entries. 20. The computer program product of claim 17, further comprising:
computer usable program code configured to present proposal indicators indicating an existence of a proposed change within user interface in which the calendars are presented, wherein the presented proposal indicators distinguish the original calendar events from other events that have no proposed changes associated with them. | 3,600 |
13,666 | 13,666 | 15,512,142 | 3,643 | A seafood storage and/or transportation container is provided. The seafood container comprises a container, the container having a bottom wall, two side walls and two end walls. The container also comprises at least one channel, the channel having an inlet at the lower portion of the interior of the container, a hollow body that extends upward, and an outlet that communicates with the exterior of the container. The at least one channel assists in removal of water from the lower portion of the container, which will be accompanied by some of the waste product from the stored seafood. When a water source is provided overhead, the container of the present invention allows the stored seafood product to be submerged in water, while also obtaining a substantially complete turnover of water within the container (including waste products). This facilitates the mixing of water in the container by drawing away the possibly contaminated water from near the bottom of the container and pulling down the cleaner, oxygen rich water from near the top of the container. Preferably, there is a lid hingedly attached to the top of the seafood container, having at least one trough that serves to trap water as it passes over the lid. The water is retained in the trough until it enters the inside of the container through a plurality of holes contained therein. | 1. A seafood storage container, the container comprising:
a bottom wall, two side walls and two end walls; and at least one channel located on at least one of the walls of the container, and which forms a passageway extending from a lower portion of an interior of the container to an upper portion of an exterior of the container, the at least one channel is formed by an inner channel wall, an outer channel wall, and channel side walls, and comprises an inlet that connects the at least one channel with the lower portion of the interior of the container, and an outlet that connects the at least one channel with the upper portion of the exterior of the container. 2. The seafood storage container according to claim 1, wherein the at least one channel comprises a plurality of inlets and outlets. 3. The seafood storage container according to claim 1, further comprising a lid hingedly attached to a top of the container. 4. The seafood storage container according to claim 3, wherein the lid is a two-piece lid, each piece of the lid comprising flaps at their outer edge that interconnect when the lid is in a closed position. 5. The seafood storage container according to claim 3, further comprising a latch to secure the lid in a closed position. 6. The seafood storage container according to claim 5, wherein the lid further comprises at least one aperture to allow liquid to enter the container. 7. The seafood storage container according to claim 3, wherein the lid comprises at least one trough for receiving a liquid. 8. The seafood storage container according to claim 7, wherein the at least one trough is recessed under a plane of a face of the lid. 9. The seafood storage container according to claim 7, wherein the at least one trough comprises at least one aperture to allow collected liquid to enter the container. 10. The seafood storage container according to claim 7, wherein the at least one trough comprises a partition. 11. The seafood storage container according to claim 1, further comprising a lip that extends outwardly and downwardly from the top of the container. 12. The seafood storage container according to claim 1, further comprising a buoyant material secured to the exterior of the container. 13. The seafood storage container according to claim 1, further comprising at least one drainage aperture located on a wall selected from the group consisting of: sidewalls and endwalls. 14. The seafood storage container according to claim 13, wherein the outlet of the channel is at about the same height or lower than the at least one drainage aperture with respect to the bottom wall. 15. The seafood storage container according to claim 1, wherein the inner channel wall is removably attached to the container 16. The seafood storage container according to claim 1, further comprising a rim along perimeter of the lid, which extends upward above the face of the lid. 17. The seafood storage container according to claim 1, further comprising at least one hole on the bottom wall of the container. 18. The seafood storage container according to claim 1, further comprising an insert to receive a seafood product. 19. The seafood storage container according to claim 18, wherein the insert is a tray or a honeycomb. 20. The seafood storage container according to claim 1, further comprising insert supports. 21. A seafood storage and/or transportation system, comprising:
a transportation system, the transportation system comprising: a vehicle having a storage compartment structured and adapted to be selectively closed against its outside environment; a heat exchange layer in the storage compartment to maintain an operative temperature within he storage compartment; a spraying assembly structured and positioned for spraying liquid in the storage compartment; a means for collecting the sprayed liquid and returning it to the spraying assembly; and
seafood storage container the seafood storage container comprising:
a bottom wall, two side walls and two end walls; and
at least one channel located on at least one of the walls of the container, and which forms a passageway extending from a lower portion of an interior of the container to an upper portion of an exterior of the container, the at least one channel is formed by an inner channel wall, an outer channel wall, and channel side walls, and comprises an inlet that connects the at least one channel with the lower portion of the interior of the container, and an outlet that connects the at least one channel with the upper portion of the exterior of the container. 22. The seafood storage and transportation system according to claim 21, further comprising at least one of a collection tank for storing the collected sprayed liquid before returning it to the spraying assembly; a biofilter to reduce waste in the collected liquid; a blower to aerate the collected liquid prior to spraying; and liquid temperature regulation equipment to regulate the temperature of the liquid prior to spraying. | A seafood storage and/or transportation container is provided. The seafood container comprises a container, the container having a bottom wall, two side walls and two end walls. The container also comprises at least one channel, the channel having an inlet at the lower portion of the interior of the container, a hollow body that extends upward, and an outlet that communicates with the exterior of the container. The at least one channel assists in removal of water from the lower portion of the container, which will be accompanied by some of the waste product from the stored seafood. When a water source is provided overhead, the container of the present invention allows the stored seafood product to be submerged in water, while also obtaining a substantially complete turnover of water within the container (including waste products). This facilitates the mixing of water in the container by drawing away the possibly contaminated water from near the bottom of the container and pulling down the cleaner, oxygen rich water from near the top of the container. Preferably, there is a lid hingedly attached to the top of the seafood container, having at least one trough that serves to trap water as it passes over the lid. The water is retained in the trough until it enters the inside of the container through a plurality of holes contained therein.1. A seafood storage container, the container comprising:
a bottom wall, two side walls and two end walls; and at least one channel located on at least one of the walls of the container, and which forms a passageway extending from a lower portion of an interior of the container to an upper portion of an exterior of the container, the at least one channel is formed by an inner channel wall, an outer channel wall, and channel side walls, and comprises an inlet that connects the at least one channel with the lower portion of the interior of the container, and an outlet that connects the at least one channel with the upper portion of the exterior of the container. 2. The seafood storage container according to claim 1, wherein the at least one channel comprises a plurality of inlets and outlets. 3. The seafood storage container according to claim 1, further comprising a lid hingedly attached to a top of the container. 4. The seafood storage container according to claim 3, wherein the lid is a two-piece lid, each piece of the lid comprising flaps at their outer edge that interconnect when the lid is in a closed position. 5. The seafood storage container according to claim 3, further comprising a latch to secure the lid in a closed position. 6. The seafood storage container according to claim 5, wherein the lid further comprises at least one aperture to allow liquid to enter the container. 7. The seafood storage container according to claim 3, wherein the lid comprises at least one trough for receiving a liquid. 8. The seafood storage container according to claim 7, wherein the at least one trough is recessed under a plane of a face of the lid. 9. The seafood storage container according to claim 7, wherein the at least one trough comprises at least one aperture to allow collected liquid to enter the container. 10. The seafood storage container according to claim 7, wherein the at least one trough comprises a partition. 11. The seafood storage container according to claim 1, further comprising a lip that extends outwardly and downwardly from the top of the container. 12. The seafood storage container according to claim 1, further comprising a buoyant material secured to the exterior of the container. 13. The seafood storage container according to claim 1, further comprising at least one drainage aperture located on a wall selected from the group consisting of: sidewalls and endwalls. 14. The seafood storage container according to claim 13, wherein the outlet of the channel is at about the same height or lower than the at least one drainage aperture with respect to the bottom wall. 15. The seafood storage container according to claim 1, wherein the inner channel wall is removably attached to the container 16. The seafood storage container according to claim 1, further comprising a rim along perimeter of the lid, which extends upward above the face of the lid. 17. The seafood storage container according to claim 1, further comprising at least one hole on the bottom wall of the container. 18. The seafood storage container according to claim 1, further comprising an insert to receive a seafood product. 19. The seafood storage container according to claim 18, wherein the insert is a tray or a honeycomb. 20. The seafood storage container according to claim 1, further comprising insert supports. 21. A seafood storage and/or transportation system, comprising:
a transportation system, the transportation system comprising: a vehicle having a storage compartment structured and adapted to be selectively closed against its outside environment; a heat exchange layer in the storage compartment to maintain an operative temperature within he storage compartment; a spraying assembly structured and positioned for spraying liquid in the storage compartment; a means for collecting the sprayed liquid and returning it to the spraying assembly; and
seafood storage container the seafood storage container comprising:
a bottom wall, two side walls and two end walls; and
at least one channel located on at least one of the walls of the container, and which forms a passageway extending from a lower portion of an interior of the container to an upper portion of an exterior of the container, the at least one channel is formed by an inner channel wall, an outer channel wall, and channel side walls, and comprises an inlet that connects the at least one channel with the lower portion of the interior of the container, and an outlet that connects the at least one channel with the upper portion of the exterior of the container. 22. The seafood storage and transportation system according to claim 21, further comprising at least one of a collection tank for storing the collected sprayed liquid before returning it to the spraying assembly; a biofilter to reduce waste in the collected liquid; a blower to aerate the collected liquid prior to spraying; and liquid temperature regulation equipment to regulate the temperature of the liquid prior to spraying. | 3,600 |
13,667 | 13,667 | 14,308,825 | 3,696 | A method of performing financial transactions between users of accounts comprising electronic messaging and crediting and debiting of at least one financial account. The invention also allows each user to define a schedule of receipt charges associated with the identities of other users to be charged as compensation for accepting delivery of their messages. With the user's permission, a record of purchases made may be maintained in a marketing database, increasing the value of use's market identity and the corresponding value of receipt charges they user may collect. Major benefits of the invention include, but are not limited to: (1) electronic financial transactions are completed in a more secure manner with appropriate tracking and verification, (2) message recipients receive income from the value of their market identities, and (3) commercial enterprises can more readily identify individuals interested in receiving their commercial offers. | 1. A method of compensating users for user associated data which comprises the steps of:
(a) storing in at least one memory user associated data for a plurality of user accounts associated with a plurality of users, wherein the user associated data comprises at least one of a group of data types comprising:
(a) a receipt charge;
(b) a maximum charge;
(c) debits;
(d) credits;
(e) account balance;
(f) descriptive information regarding purchases made;
(g) descriptive information regarding electronic data received;
(h) information identifying at least one communications address from the group of communications addresses comprising: a phone number; an email address; an account identifier; a communication identifier for an electronic device associated with the user; an instant messaging address; an internet account; a postal address;
(b) receiving at a processor in communication with the memory selection criteria other than a communications address from a first user; (c) correlating a match between the selection criteria and user associated data to identify at least one second user; (d) crediting the second user account a first amount based on a receipt charge associated with the second user account. 2. The method claim of 1 further providing in step (d) initiating delivery of electronic data provided by the first user to at least one communications address for the second user. 3. The method claim of 1 further providing prior in step (d) initiating delivery of electronic data provided by the first user to at least one communications address for the second user and proceeding to step (d) only after delivery of the electronic data to the communications address for the second user has been verified and debiting the first user account a second amount. 4. The method claim of 3 also comprising:
providing program means for the processor to store in the memory descriptive information regarding the electronic data provided by the first user. 5. The method of claim 1, wherein the selection criteria and the user associated data comprises information selected from the group consisting of: purchase history, survey responses, received messages, messages sent, age, gender, account balance, and residential zip code. 6. The method claim of 1 further comprising the steps of:
receiving at at least one processor electronic data provided by the second user for delivery to a communications address for a third user;
providing program means for the processor to reject delivery of the electronic data provided by the second user if the maximum charge associated with the second user's electronic data is less than the receipt charge associated with the third user account, otherwise to initiate delivery of the electronic data provided by the second user to the third user's communications address and to debit the second user's account an amount that does not exceed the maximum charge and to credit the third user's account an amount based on the third user's receipt charge. 7. The method of claim 1 also comprising:
providing program means for the second user to initiate a transaction debiting the second user's account a third amount and crediting a fourth amount to a third user's account. 8. The method of claim of 1 also providing that following step (c) the communications address for the second user is provided to the first user. 9. The method of claim of 1 wherein the user associated data for the second user comprises a plurality of receipt charges associated with a plurality of classifications, and the first user account is associated with a first classification, and the amount credited to the second user account in step (d) is based on the receipt charge of the second user that is associated with the first classification associated with the first user. 10. The method of claim 2, also providing that the electronic data provided by the first user comprises hyperlink means which, upon activation of the hyperlink by the second user, will initiate one or more of the following steps:
(a) transmitting additional electronic data to at least one communications address associated with the second user; (b) debiting the first user's account a third amount; (c) crediting the first user's account a fourth amount; (d) debiting the second user's account a fifth amount; (e) crediting the second user's account a sixth amount; (f) storing in the memory user associated data comprising data associated with transactions of debits and credits associated with the second user. 11. A system of compensating users for user associated data which comprises:
a memory for storing in at least one memory user associated data for a plurality of user accounts associated with a plurality of users, wherein the user associated data comprises at least one of a group of data types comprising: (a) a receipt charge; (b) a maximum charge; (c) debits; (d) credits; (e) account balance; (f) descriptive information regarding purchases made; (g) descriptive information regarding electronic data received; (h) information identifying at least one communications address from the group of communications addresses comprising: a phone number, an email address, an account identifier, a communication identifier for an electronic device associated with the user, an instant messaging address, an internet account, a postal address; a processor in communication with the memory with means to receive selection criteria other than a communications address from a first user; means for the processor to compare the selection criteria and user associated data to identify at least one second user; means for crediting the second user account a first amount based on a receipt charge associated with the second user account. 12. The system of claim of 11 further providing means for delivery of electronic data provided by the first user to at least one communications address associated with the second user. 13. The system of claim 11 providing means for delivery of electronic data provided by the first user to at least one communications address associated with the second user and withholding the crediting of the first amount to the second user account until delivery of the electronic data to the communications address for the second user has been verified. 14. The system of claim 11 wherein the selection criteria and the user associated data comprises information selected from the group consisting of: survey responses, received messages, messages sent, payments made to other users, gender, at least two account balances, total purchases in a category associated with at least one receipt charge, response rate to at least one electronic data received that is associated to a specific commercial category. 15. The system of claim 11 also comprising means for the processor to save in the memory user associated data associated with the credit to the second user's account. 16. The system of claim 11 further comprising the steps of:
receiving at at least one processor electronic data provided by the second user for delivery to a communications address for a third user;
providing program means for the processor to reject delivery of the electronic data provided by the second user if the maximum charge associated with the second user's electronic data is less than the receipt charge associated with the third user account, otherwise to initiate delivery of the electronic data provided by the second user to the third user's communications address and to debit the second user's account an amount that does not exceed the maximum charge and to credit the third user's account an amount based on the third user's receipt charge. 17. The system of claim 11 also comprising:
providing program means for the second user to initiate a transaction debiting the second user's account a third amount and crediting a fourth amount to a third user's account. 18. The system of claim 11 also providing means to provide the first user with the communications address for the second user after the first amount has been credited to the second user account. 19. The system of claim 11 wherein the user associated data for the second user comprises a plurality of receipt charges associated with a plurality of classifications, and the first user account is associated with a first classification, and the first amount credited to the second user account is based on the receipt charge of the second user that is associated with the first classification associated with the first user. 20. The system of claim 11, also providing that the electronic data provided by the first user comprises hyperlink means which upon activation of the hyperlink by the second user will initiate one or more of the following steps:
(a) transmitting additional electronic data to at least one communications address associated with the second user; (b) debiting the first user's account a third amount; (c) crediting the first user's account a fourth amount; (d) debiting the second user's account a fifth amount; (e) crediting the second user's account a sixth amount; (f) storing in the memory user associated data comprising data associated with transactions of debits and credits associated with the second user. | A method of performing financial transactions between users of accounts comprising electronic messaging and crediting and debiting of at least one financial account. The invention also allows each user to define a schedule of receipt charges associated with the identities of other users to be charged as compensation for accepting delivery of their messages. With the user's permission, a record of purchases made may be maintained in a marketing database, increasing the value of use's market identity and the corresponding value of receipt charges they user may collect. Major benefits of the invention include, but are not limited to: (1) electronic financial transactions are completed in a more secure manner with appropriate tracking and verification, (2) message recipients receive income from the value of their market identities, and (3) commercial enterprises can more readily identify individuals interested in receiving their commercial offers.1. A method of compensating users for user associated data which comprises the steps of:
(a) storing in at least one memory user associated data for a plurality of user accounts associated with a plurality of users, wherein the user associated data comprises at least one of a group of data types comprising:
(a) a receipt charge;
(b) a maximum charge;
(c) debits;
(d) credits;
(e) account balance;
(f) descriptive information regarding purchases made;
(g) descriptive information regarding electronic data received;
(h) information identifying at least one communications address from the group of communications addresses comprising: a phone number; an email address; an account identifier; a communication identifier for an electronic device associated with the user; an instant messaging address; an internet account; a postal address;
(b) receiving at a processor in communication with the memory selection criteria other than a communications address from a first user; (c) correlating a match between the selection criteria and user associated data to identify at least one second user; (d) crediting the second user account a first amount based on a receipt charge associated with the second user account. 2. The method claim of 1 further providing in step (d) initiating delivery of electronic data provided by the first user to at least one communications address for the second user. 3. The method claim of 1 further providing prior in step (d) initiating delivery of electronic data provided by the first user to at least one communications address for the second user and proceeding to step (d) only after delivery of the electronic data to the communications address for the second user has been verified and debiting the first user account a second amount. 4. The method claim of 3 also comprising:
providing program means for the processor to store in the memory descriptive information regarding the electronic data provided by the first user. 5. The method of claim 1, wherein the selection criteria and the user associated data comprises information selected from the group consisting of: purchase history, survey responses, received messages, messages sent, age, gender, account balance, and residential zip code. 6. The method claim of 1 further comprising the steps of:
receiving at at least one processor electronic data provided by the second user for delivery to a communications address for a third user;
providing program means for the processor to reject delivery of the electronic data provided by the second user if the maximum charge associated with the second user's electronic data is less than the receipt charge associated with the third user account, otherwise to initiate delivery of the electronic data provided by the second user to the third user's communications address and to debit the second user's account an amount that does not exceed the maximum charge and to credit the third user's account an amount based on the third user's receipt charge. 7. The method of claim 1 also comprising:
providing program means for the second user to initiate a transaction debiting the second user's account a third amount and crediting a fourth amount to a third user's account. 8. The method of claim of 1 also providing that following step (c) the communications address for the second user is provided to the first user. 9. The method of claim of 1 wherein the user associated data for the second user comprises a plurality of receipt charges associated with a plurality of classifications, and the first user account is associated with a first classification, and the amount credited to the second user account in step (d) is based on the receipt charge of the second user that is associated with the first classification associated with the first user. 10. The method of claim 2, also providing that the electronic data provided by the first user comprises hyperlink means which, upon activation of the hyperlink by the second user, will initiate one or more of the following steps:
(a) transmitting additional electronic data to at least one communications address associated with the second user; (b) debiting the first user's account a third amount; (c) crediting the first user's account a fourth amount; (d) debiting the second user's account a fifth amount; (e) crediting the second user's account a sixth amount; (f) storing in the memory user associated data comprising data associated with transactions of debits and credits associated with the second user. 11. A system of compensating users for user associated data which comprises:
a memory for storing in at least one memory user associated data for a plurality of user accounts associated with a plurality of users, wherein the user associated data comprises at least one of a group of data types comprising: (a) a receipt charge; (b) a maximum charge; (c) debits; (d) credits; (e) account balance; (f) descriptive information regarding purchases made; (g) descriptive information regarding electronic data received; (h) information identifying at least one communications address from the group of communications addresses comprising: a phone number, an email address, an account identifier, a communication identifier for an electronic device associated with the user, an instant messaging address, an internet account, a postal address; a processor in communication with the memory with means to receive selection criteria other than a communications address from a first user; means for the processor to compare the selection criteria and user associated data to identify at least one second user; means for crediting the second user account a first amount based on a receipt charge associated with the second user account. 12. The system of claim of 11 further providing means for delivery of electronic data provided by the first user to at least one communications address associated with the second user. 13. The system of claim 11 providing means for delivery of electronic data provided by the first user to at least one communications address associated with the second user and withholding the crediting of the first amount to the second user account until delivery of the electronic data to the communications address for the second user has been verified. 14. The system of claim 11 wherein the selection criteria and the user associated data comprises information selected from the group consisting of: survey responses, received messages, messages sent, payments made to other users, gender, at least two account balances, total purchases in a category associated with at least one receipt charge, response rate to at least one electronic data received that is associated to a specific commercial category. 15. The system of claim 11 also comprising means for the processor to save in the memory user associated data associated with the credit to the second user's account. 16. The system of claim 11 further comprising the steps of:
receiving at at least one processor electronic data provided by the second user for delivery to a communications address for a third user;
providing program means for the processor to reject delivery of the electronic data provided by the second user if the maximum charge associated with the second user's electronic data is less than the receipt charge associated with the third user account, otherwise to initiate delivery of the electronic data provided by the second user to the third user's communications address and to debit the second user's account an amount that does not exceed the maximum charge and to credit the third user's account an amount based on the third user's receipt charge. 17. The system of claim 11 also comprising:
providing program means for the second user to initiate a transaction debiting the second user's account a third amount and crediting a fourth amount to a third user's account. 18. The system of claim 11 also providing means to provide the first user with the communications address for the second user after the first amount has been credited to the second user account. 19. The system of claim 11 wherein the user associated data for the second user comprises a plurality of receipt charges associated with a plurality of classifications, and the first user account is associated with a first classification, and the first amount credited to the second user account is based on the receipt charge of the second user that is associated with the first classification associated with the first user. 20. The system of claim 11, also providing that the electronic data provided by the first user comprises hyperlink means which upon activation of the hyperlink by the second user will initiate one or more of the following steps:
(a) transmitting additional electronic data to at least one communications address associated with the second user; (b) debiting the first user's account a third amount; (c) crediting the first user's account a fourth amount; (d) debiting the second user's account a fifth amount; (e) crediting the second user's account a sixth amount; (f) storing in the memory user associated data comprising data associated with transactions of debits and credits associated with the second user. | 3,600 |
13,668 | 13,668 | 14,854,991 | 3,626 | Described herein are an apparatus and a corresponding method for monitoring and evaluating personnel (staff member) in a congregate care or medical facility. The apparatus includes circuitry that is configured to assign a task to a staff member and compute a time delay incurred by the staff member in commencing the task. The circuitry authenticates the staff member and monitors a location of the staff member and a patient assisted by the staff member, to determine a displacement of the location of the staff member with respect to the location of the patient. The circuitry updates an overall score of the staff member based on the computed time delay, the determined displacement being above a first threshold, and a number of times the staff member is reported, and further recommends a type of training session for the staff member based on the overall score being lower than a predetermined score threshold. | 1. A device comprising:
circuitry configured to
assign a task to a staff member,
compute a time delay incurred by the staff member in commencing the task,
authenticate the staff member,
monitor a location of the staff member and a patient assisted by the staff member, to determine a displacement of the location of the staff member with respect to the location of the patient,
update an overall score of the staff member based on at least one of the computed time delay, the displacement of the location of the staff member with respect to the location of the patient being above a first threshold, and a number of times the staff member is reported,
recommend a type of training session for the staff member based on the overall score being lower than a predetermined score threshold,
collect and aggregate information and data regarding staff member and patient interactions, based on types of interactions and types of patients, and
enable supervisors and managers to generate reports documenting activities performed on behalf of specific patients, activities performed by specific staff members over specific time periods. | Described herein are an apparatus and a corresponding method for monitoring and evaluating personnel (staff member) in a congregate care or medical facility. The apparatus includes circuitry that is configured to assign a task to a staff member and compute a time delay incurred by the staff member in commencing the task. The circuitry authenticates the staff member and monitors a location of the staff member and a patient assisted by the staff member, to determine a displacement of the location of the staff member with respect to the location of the patient. The circuitry updates an overall score of the staff member based on the computed time delay, the determined displacement being above a first threshold, and a number of times the staff member is reported, and further recommends a type of training session for the staff member based on the overall score being lower than a predetermined score threshold.1. A device comprising:
circuitry configured to
assign a task to a staff member,
compute a time delay incurred by the staff member in commencing the task,
authenticate the staff member,
monitor a location of the staff member and a patient assisted by the staff member, to determine a displacement of the location of the staff member with respect to the location of the patient,
update an overall score of the staff member based on at least one of the computed time delay, the displacement of the location of the staff member with respect to the location of the patient being above a first threshold, and a number of times the staff member is reported,
recommend a type of training session for the staff member based on the overall score being lower than a predetermined score threshold,
collect and aggregate information and data regarding staff member and patient interactions, based on types of interactions and types of patients, and
enable supervisors and managers to generate reports documenting activities performed on behalf of specific patients, activities performed by specific staff members over specific time periods. | 3,600 |
13,669 | 13,669 | 15,147,074 | 3,629 | A computer-implemented method for evaluating the suitability of an applicant for a team having at least one team member, the method includes generating a team reference data based on at least one team member reference response, each from a team member's reference provider, such that the team member reference response includes a response to a plurality of questions relevant to the at least one team member; receiving an applicant reference response from at least one reference provider, such that the applicant reference response includes a response from the at least one reference provider to a plurality of questions relevant to the applicant; generating an applicant reference data based on at least one of the applicant reference response; and generating a suitability score based on the applicant reference data and the team reference data, such that the suitability score indicates the suitability of the applicant for the team. | 1. A computer-implemented method for evaluating the suitability of an applicant for a team having at least one team member, the method comprising:
generating a team reference data of the team based on at least one team member reference response, each from a team member's reference provider, wherein the team member reference response comprises a response to a plurality of questions relevant to the at least one team member; receiving an applicant reference response from at least one reference provider, wherein the applicant reference response comprises a response from the at least one reference provider to a plurality of questions relevant to the applicant; generating an applicant reference data based on at least one of the applicant reference response; and generating a suitability score based on the applicant reference data and the team reference data, wherein the suitability score indicates the suitability of the applicant for the team. 2. The method of claim 1, further comprising generating a team member reference data for each of the at least one team member based on one or more team member reference response, wherein the team reference data is generated based on one or more team member reference data. 3. The method of claim 2, further comprising normalising the one or more team member reference data. 4. The method of claim 1, further comprising normalising the at least one applicant reference data. 5. The method of claim 1, wherein the applicant reference response comprises an array of applicant response data, wherein the applicant reference data comprises an array of normalised scores which corresponds to the array of applicant response data. 6. The method of claim 1, wherein the team member reference response comprises an array of team member response data, wherein the team reference data comprises an array of normalised scores which corresponds to the array of team member response data. 7. The method of claim 1, further comprising matching the applicant reference data to the team reference data to generate a matching score, wherein the matching score indicates the degree of match between the applicant reference data and the team reference data. 8. The method of claim 1, further comprising computing a team convergence score based on the team reference data, wherein the team convergence score indicates a similarity level between team members in the team. 9. The method of claim 1, wherein the plurality of questions include selected questions relevant to the team. 10. The method of claim 1, wherein the plurality of questions include at least one ipsative question. 11. A computer system for evaluating the suitability of an applicant for a team having at least one team member, the system comprising:
a server configured to:
generate a team reference data based on at least one team member reference response, each from a team member's reference provider, wherein the team member reference response comprises a response to a plurality of questions relevant to the at least one team member;
receive an applicant reference response from at least one reference provider, wherein the applicant reference response comprises a response from the at least one reference provider to a plurality of questions relevant to the applicant;
generate an applicant reference data based on at least one of the reference response; and
generate a suitability score based on the applicant reference data and the team reference data, wherein the suitability score indicates the suitability of the applicant for the team. 12. The system of claim 11, wherein the server is configured to generate a team member reference data for each of the at least one team member based on one or more team member reference response, wherein the team reference data is generated based on one or more team member reference data. 13. The method of claim 12, further comprising a team member reference normalising module configured to normalise the one or more team member reference data. 14. The method of claim 11, further comprising an applicant reference normalising module configured to normalise the at least one applicant reference data. 15. The method of claim 11, wherein the applicant reference response comprises an array of applicant response data, wherein the applicant reference data comprises an array of normalised scores which corresponds to the array of applicant response data. 16. The method of claim 11, wherein the team member reference response comprises an array of team member response data, wherein the team reference data comprises an array of normalised scores which corresponds to the array of team member response data. 17. The method of claim 11, further comprising a matching module configured to match the applicant reference data to the team reference data to generate a matching score, wherein the matching score indicates the degree of match between the applicant reference data and the team reference data. 18. The method of claim 11, further comprising a computing module configured to compute a team convergence score based on the team reference data, wherein the team convergence score indicates a similarity level between team members in the team. 19. The method of claim 11, wherein the plurality of questions include selected questions relevant to the team. 20. The method of claim 11, wherein the plurality of questions include at least one ipsative question. | A computer-implemented method for evaluating the suitability of an applicant for a team having at least one team member, the method includes generating a team reference data based on at least one team member reference response, each from a team member's reference provider, such that the team member reference response includes a response to a plurality of questions relevant to the at least one team member; receiving an applicant reference response from at least one reference provider, such that the applicant reference response includes a response from the at least one reference provider to a plurality of questions relevant to the applicant; generating an applicant reference data based on at least one of the applicant reference response; and generating a suitability score based on the applicant reference data and the team reference data, such that the suitability score indicates the suitability of the applicant for the team.1. A computer-implemented method for evaluating the suitability of an applicant for a team having at least one team member, the method comprising:
generating a team reference data of the team based on at least one team member reference response, each from a team member's reference provider, wherein the team member reference response comprises a response to a plurality of questions relevant to the at least one team member; receiving an applicant reference response from at least one reference provider, wherein the applicant reference response comprises a response from the at least one reference provider to a plurality of questions relevant to the applicant; generating an applicant reference data based on at least one of the applicant reference response; and generating a suitability score based on the applicant reference data and the team reference data, wherein the suitability score indicates the suitability of the applicant for the team. 2. The method of claim 1, further comprising generating a team member reference data for each of the at least one team member based on one or more team member reference response, wherein the team reference data is generated based on one or more team member reference data. 3. The method of claim 2, further comprising normalising the one or more team member reference data. 4. The method of claim 1, further comprising normalising the at least one applicant reference data. 5. The method of claim 1, wherein the applicant reference response comprises an array of applicant response data, wherein the applicant reference data comprises an array of normalised scores which corresponds to the array of applicant response data. 6. The method of claim 1, wherein the team member reference response comprises an array of team member response data, wherein the team reference data comprises an array of normalised scores which corresponds to the array of team member response data. 7. The method of claim 1, further comprising matching the applicant reference data to the team reference data to generate a matching score, wherein the matching score indicates the degree of match between the applicant reference data and the team reference data. 8. The method of claim 1, further comprising computing a team convergence score based on the team reference data, wherein the team convergence score indicates a similarity level between team members in the team. 9. The method of claim 1, wherein the plurality of questions include selected questions relevant to the team. 10. The method of claim 1, wherein the plurality of questions include at least one ipsative question. 11. A computer system for evaluating the suitability of an applicant for a team having at least one team member, the system comprising:
a server configured to:
generate a team reference data based on at least one team member reference response, each from a team member's reference provider, wherein the team member reference response comprises a response to a plurality of questions relevant to the at least one team member;
receive an applicant reference response from at least one reference provider, wherein the applicant reference response comprises a response from the at least one reference provider to a plurality of questions relevant to the applicant;
generate an applicant reference data based on at least one of the reference response; and
generate a suitability score based on the applicant reference data and the team reference data, wherein the suitability score indicates the suitability of the applicant for the team. 12. The system of claim 11, wherein the server is configured to generate a team member reference data for each of the at least one team member based on one or more team member reference response, wherein the team reference data is generated based on one or more team member reference data. 13. The method of claim 12, further comprising a team member reference normalising module configured to normalise the one or more team member reference data. 14. The method of claim 11, further comprising an applicant reference normalising module configured to normalise the at least one applicant reference data. 15. The method of claim 11, wherein the applicant reference response comprises an array of applicant response data, wherein the applicant reference data comprises an array of normalised scores which corresponds to the array of applicant response data. 16. The method of claim 11, wherein the team member reference response comprises an array of team member response data, wherein the team reference data comprises an array of normalised scores which corresponds to the array of team member response data. 17. The method of claim 11, further comprising a matching module configured to match the applicant reference data to the team reference data to generate a matching score, wherein the matching score indicates the degree of match between the applicant reference data and the team reference data. 18. The method of claim 11, further comprising a computing module configured to compute a team convergence score based on the team reference data, wherein the team convergence score indicates a similarity level between team members in the team. 19. The method of claim 11, wherein the plurality of questions include selected questions relevant to the team. 20. The method of claim 11, wherein the plurality of questions include at least one ipsative question. | 3,600 |
13,670 | 13,670 | 13,692,697 | 3,681 | Methods and systems to publish information associated with products and/or services for sale or auction within a selected private network are described. In some example embodiments, the systems receive product description information associated with an available product or service, identify one or more private networks to which to display the product description information, and publish the product description information within the identified private network or networks. | 1. A computer-implemented method, comprising:
receiving, from a seller, information indicating a product is available for sale at a network-based system; identifying a private group of users associated with the seller to which to advertise the product to be sold via the network-based system; and presenting information identifying the product to be sold to the identified private group of users via an online location associated with the identified private group of users. 2. The method of claim 1, wherein the private group of users includes the seller of the product available for sale at the network-based system. 3. The method of claim 1, wherein identifying the private group of users to which to advertise the product to be sold via the network-based system includes identifying a group of users that are members of a social network and connected within the social network to the seller of the product available for sale at the network-based system. 4. The method of claim 1, wherein identifying the private group of users to which to advertise the product to be sold via the network-based system includes identifying a group of users that includes first degree connections within a social network with the seller of the product available for sale and that includes second degree connections within the social network with the seller of the product available for sale. 5. The method of claim 1, wherein the identifying the private group of users to which to advertise the product to be sold via the network-based system includes identifying a group of colleagues employed by a company that employs the seller of the product available for sale at the network-based system; and wherein the online location associated with the identified private group of users includes a private Intranet associated with the company. 6. The method of claim 1, wherein receiving information indicating a product is available for sale at a network-based system includes receiving information from an online auction site. 7. The method of claim 1, wherein receiving information indicating a product is available for sale at a network-based system includes receiving information from an online site of classified advertisements. 8. The method of claim 1, wherein identifying a private group of users to which to advertise the product to be sold via the network-based system includes automatically identifying the private group of users based on information associated with a description of the product available for sale. 9. The method of claim 1, wherein receiving information indicating a product is available for sale at a network-based system includes receiving information associated with a description of the product available for sale; and wherein identifying the private group of users to which to advertise the product to be sold via the network-based system includes identifying the private group of users based, at least in part, on the information associated with the description of the product available for sale. 10. The method of claim 1, wherein presenting information identifying the product to be sold to the identified private group of users includes displaying information identifying a relationship between the seller of the product to be sold and the identified private group of users. 11. The method of claim 1, wherein presenting information identifying the product to be sold to the identified private group of users includes displaying information that includes a link to a product page supported by the network-based system that facilitates a purchase of the product available for sale from the network-based system. 12. A network-based system, comprising:
a publication engine that is configured to publish a product listing that presents description information associated with a product available for sale via the network-based system; and a group selection module that is configured to determine a group of users within a private network that includes a seller of the product available for sale as a member to which to display the product listing. 13. The system of claim 12, wherein the group selection module is configured to select the group of users that are first-degree connections with the seller within a private network. 14. The system of claim 12, wherein the group selection module is configured to select the group of users that are first-degree or second-degree connections with the member within the private network. 15. The system of claim 12, wherein the group selection module is configured to select the group of users that includes users indicating an interest that is associated with the product available for sale. 16. The system of claim 12, wherein the group selection module is configured to select the group of users that includes users at a same location as that of the seller of the product available for sale. 17. The system of claim 12, wherein the group selection module is configured to receive input from the seller of the product available for sale identifying a selection of the private network. 18. A computer-readable storage medium whose contents, when executed by a computing system, cause the computing system to perform operations comprising:
receiving information associated with a product for purchase via an online auction site; identifying a group of users affiliated with a user selling the product via the online auction site; and publishing information indicating the product for purchase and information identifying the user selling the product within a web site associated with the group of users. 19. The computer-readable storage medium of claim 18, wherein the group of users is a group of users connected to the user selling the product via a social network. 20. The computer-readable storage medium of claim 18, wherein the group of users is a group of users that are members of an organization of which the user selling the product is a member. | Methods and systems to publish information associated with products and/or services for sale or auction within a selected private network are described. In some example embodiments, the systems receive product description information associated with an available product or service, identify one or more private networks to which to display the product description information, and publish the product description information within the identified private network or networks.1. A computer-implemented method, comprising:
receiving, from a seller, information indicating a product is available for sale at a network-based system; identifying a private group of users associated with the seller to which to advertise the product to be sold via the network-based system; and presenting information identifying the product to be sold to the identified private group of users via an online location associated with the identified private group of users. 2. The method of claim 1, wherein the private group of users includes the seller of the product available for sale at the network-based system. 3. The method of claim 1, wherein identifying the private group of users to which to advertise the product to be sold via the network-based system includes identifying a group of users that are members of a social network and connected within the social network to the seller of the product available for sale at the network-based system. 4. The method of claim 1, wherein identifying the private group of users to which to advertise the product to be sold via the network-based system includes identifying a group of users that includes first degree connections within a social network with the seller of the product available for sale and that includes second degree connections within the social network with the seller of the product available for sale. 5. The method of claim 1, wherein the identifying the private group of users to which to advertise the product to be sold via the network-based system includes identifying a group of colleagues employed by a company that employs the seller of the product available for sale at the network-based system; and wherein the online location associated with the identified private group of users includes a private Intranet associated with the company. 6. The method of claim 1, wherein receiving information indicating a product is available for sale at a network-based system includes receiving information from an online auction site. 7. The method of claim 1, wherein receiving information indicating a product is available for sale at a network-based system includes receiving information from an online site of classified advertisements. 8. The method of claim 1, wherein identifying a private group of users to which to advertise the product to be sold via the network-based system includes automatically identifying the private group of users based on information associated with a description of the product available for sale. 9. The method of claim 1, wherein receiving information indicating a product is available for sale at a network-based system includes receiving information associated with a description of the product available for sale; and wherein identifying the private group of users to which to advertise the product to be sold via the network-based system includes identifying the private group of users based, at least in part, on the information associated with the description of the product available for sale. 10. The method of claim 1, wherein presenting information identifying the product to be sold to the identified private group of users includes displaying information identifying a relationship between the seller of the product to be sold and the identified private group of users. 11. The method of claim 1, wherein presenting information identifying the product to be sold to the identified private group of users includes displaying information that includes a link to a product page supported by the network-based system that facilitates a purchase of the product available for sale from the network-based system. 12. A network-based system, comprising:
a publication engine that is configured to publish a product listing that presents description information associated with a product available for sale via the network-based system; and a group selection module that is configured to determine a group of users within a private network that includes a seller of the product available for sale as a member to which to display the product listing. 13. The system of claim 12, wherein the group selection module is configured to select the group of users that are first-degree connections with the seller within a private network. 14. The system of claim 12, wherein the group selection module is configured to select the group of users that are first-degree or second-degree connections with the member within the private network. 15. The system of claim 12, wherein the group selection module is configured to select the group of users that includes users indicating an interest that is associated with the product available for sale. 16. The system of claim 12, wherein the group selection module is configured to select the group of users that includes users at a same location as that of the seller of the product available for sale. 17. The system of claim 12, wherein the group selection module is configured to receive input from the seller of the product available for sale identifying a selection of the private network. 18. A computer-readable storage medium whose contents, when executed by a computing system, cause the computing system to perform operations comprising:
receiving information associated with a product for purchase via an online auction site; identifying a group of users affiliated with a user selling the product via the online auction site; and publishing information indicating the product for purchase and information identifying the user selling the product within a web site associated with the group of users. 19. The computer-readable storage medium of claim 18, wherein the group of users is a group of users connected to the user selling the product via a social network. 20. The computer-readable storage medium of claim 18, wherein the group of users is a group of users that are members of an organization of which the user selling the product is a member. | 3,600 |
13,671 | 13,671 | 14,268,849 | 3,683 | Systems, methods, and software to facilitate visualization of an application associated with an industrial automation environment are disclosed herein. In at least one implementation, a graphical user interface to the application having a plurality of key performance indicators (KPIs) is rendered. A selection of at least one KPI of the plurality of KPIs is received along with instructions to link the at least one KPI to a home screen of an operating system. Dynamic KPI data associated with the at least one KPI is fed to the operating system for visualization of the at least one KPI on the home screen. | 1. One or more computer-readable storage media having program instructions stored thereon to facilitate visualization of an application associated with an industrial automation environment, wherein the program instructions, when executed by a computing system, direct the computing system to at least:
render a graphical user interface to the application having a plurality of key performance indicators (KPIs); receive a selection of at least one KPI of the plurality of KPIs and instructions to link the at least one KPI to a home screen of an operating system; and feed dynamic KPI data associated with the at least one KPI to the operating system for visualization of the at least one KPI on the home screen. 2. The one or more computer-readable storage media of claim 1 wherein, to receive the selection of the at least one KPI and the instructions to link the at least one KPI to the home screen, the program instructions direct the computing system to receive the selection and the instructions via the graphical user interface to the application. 3. The one or more computer-readable storage media of claim 1 wherein, responsive to receiving the instructions to link the at least one KPI to the home screen, the program instructions direct the computing system to pin the at least one KPI to the home screen of the operating system 4. The one or more computer-readable storage media of claim 1 wherein the program instructions further direct the computing system to display the graphical user interface to the application having the plurality of KPIs in response to a user selection of the visualization of the at least one KPI on the home screen of the operating system. 5. The one or more computer-readable storage media of claim 1 wherein the program instructions further direct the computing system to display a data source associated with the at least one KPI in response to a user selection of the visualization of the at least one KPI on the home screen of the operating system. 6. The one or more computer-readable storage media of claim 1 wherein the program instructions, to direct the computing system to feed the dynamic KPI data associated with the at least one KPI to the operating system, direct the computing system to retrieve the dynamic KPI data from a data source associated with the at least one KPI and provide the dynamic KPI data to the operating system for visualization of the at least one KPI on the home screen. 7. The one or more computer-readable storage media of claim 1 wherein the plurality of KPIs are associated with an operation of at least one machine system in the industrial automation environment. 8. The one or more computer-readable storage media of claim 1 wherein the computing system comprises a tablet computing device comprising a touch screen. 9. A method to facilitate visualization of an application associated with an industrial automation environment, the method comprising:
rendering a graphical user interface to the application having a plurality of key performance indicators (KPIs); receiving a selection of at least one KPI of the plurality of KPIs and instructions to link the at least one KPI to a home screen of an operating system; and feeding dynamic KPI data associated with the at least one KPI to the operating system for visualization of the at least one KPI on the home screen. 10. The method of claim 9 wherein receiving the selection of the at least one KPI and the instructions to link the at least one KPI to the home screen comprises receiving the selection and the instructions via the graphical user interface to the application. 11. The method of claim 9 further comprising, responsive to receiving the instructions to link the at least one KPI to the home screen, pinning the at least one KPI to the home screen of the operating system 12. The method of claim 9 further comprising displaying the graphical user interface to the application having the plurality of KPIs in response to a user selection of the visualization of the at least one KPI on the home screen of the operating system. 13. The method of claim 9 further comprising displaying a data source associated with the at least one KPI in response to a user selection of the visualization of the at least one KPI on the home screen of the operating system. 14. The method of claim 9 wherein feeding the dynamic KPI data associated with the at least one KPI to the operating system comprises retrieving the dynamic KPI data from a data source associated with the at least one KPI. 15. The method of claim 14 wherein feeding the dynamic KPI data associated with the at least one KPI to the operating system comprises providing the dynamic KPI data to the operating system for visualization of the at least one KPI on the home screen. 16. The method of claim 9 wherein the plurality of KPIs are associated with an operation of at least one machine system in the industrial automation environment. 17. One or more computer-readable storage media having program instructions stored thereon to facilitate visualization of an application, wherein the program instructions, when executed by a computing system, direct the computing system to at least:
render a graphical user interface to the application having a plurality of information items; receive a selection of at least one information item of the plurality of information items and instructions to pin the at least one information item to a home screen of an operating system; and feed dynamic data associated with the at least one information item to the operating system for visualization of the at least one information item on the home screen. 18. The one or more computer-readable storage media of claim 17 wherein the program instructions, to direct the computing system to feed the dynamic data associated with the at least one information item to the operating system, direct the computing system to retrieve the dynamic data from a data source associated with the at least one information item and provide the dynamic data to the operating system for visualization of the at least one information item on the home screen. 19. The one or more computer-readable storage media of claim 17 wherein the program instructions further direct the computing system to display the graphical user interface to the application having the plurality of information items in response to a user selection of the visualization of the at least one information item on the home screen of the operating system. 20. The one or more computer-readable storage media of claim 17 wherein the computing system comprises a tablet computing device comprising a touch screen. | Systems, methods, and software to facilitate visualization of an application associated with an industrial automation environment are disclosed herein. In at least one implementation, a graphical user interface to the application having a plurality of key performance indicators (KPIs) is rendered. A selection of at least one KPI of the plurality of KPIs is received along with instructions to link the at least one KPI to a home screen of an operating system. Dynamic KPI data associated with the at least one KPI is fed to the operating system for visualization of the at least one KPI on the home screen.1. One or more computer-readable storage media having program instructions stored thereon to facilitate visualization of an application associated with an industrial automation environment, wherein the program instructions, when executed by a computing system, direct the computing system to at least:
render a graphical user interface to the application having a plurality of key performance indicators (KPIs); receive a selection of at least one KPI of the plurality of KPIs and instructions to link the at least one KPI to a home screen of an operating system; and feed dynamic KPI data associated with the at least one KPI to the operating system for visualization of the at least one KPI on the home screen. 2. The one or more computer-readable storage media of claim 1 wherein, to receive the selection of the at least one KPI and the instructions to link the at least one KPI to the home screen, the program instructions direct the computing system to receive the selection and the instructions via the graphical user interface to the application. 3. The one or more computer-readable storage media of claim 1 wherein, responsive to receiving the instructions to link the at least one KPI to the home screen, the program instructions direct the computing system to pin the at least one KPI to the home screen of the operating system 4. The one or more computer-readable storage media of claim 1 wherein the program instructions further direct the computing system to display the graphical user interface to the application having the plurality of KPIs in response to a user selection of the visualization of the at least one KPI on the home screen of the operating system. 5. The one or more computer-readable storage media of claim 1 wherein the program instructions further direct the computing system to display a data source associated with the at least one KPI in response to a user selection of the visualization of the at least one KPI on the home screen of the operating system. 6. The one or more computer-readable storage media of claim 1 wherein the program instructions, to direct the computing system to feed the dynamic KPI data associated with the at least one KPI to the operating system, direct the computing system to retrieve the dynamic KPI data from a data source associated with the at least one KPI and provide the dynamic KPI data to the operating system for visualization of the at least one KPI on the home screen. 7. The one or more computer-readable storage media of claim 1 wherein the plurality of KPIs are associated with an operation of at least one machine system in the industrial automation environment. 8. The one or more computer-readable storage media of claim 1 wherein the computing system comprises a tablet computing device comprising a touch screen. 9. A method to facilitate visualization of an application associated with an industrial automation environment, the method comprising:
rendering a graphical user interface to the application having a plurality of key performance indicators (KPIs); receiving a selection of at least one KPI of the plurality of KPIs and instructions to link the at least one KPI to a home screen of an operating system; and feeding dynamic KPI data associated with the at least one KPI to the operating system for visualization of the at least one KPI on the home screen. 10. The method of claim 9 wherein receiving the selection of the at least one KPI and the instructions to link the at least one KPI to the home screen comprises receiving the selection and the instructions via the graphical user interface to the application. 11. The method of claim 9 further comprising, responsive to receiving the instructions to link the at least one KPI to the home screen, pinning the at least one KPI to the home screen of the operating system 12. The method of claim 9 further comprising displaying the graphical user interface to the application having the plurality of KPIs in response to a user selection of the visualization of the at least one KPI on the home screen of the operating system. 13. The method of claim 9 further comprising displaying a data source associated with the at least one KPI in response to a user selection of the visualization of the at least one KPI on the home screen of the operating system. 14. The method of claim 9 wherein feeding the dynamic KPI data associated with the at least one KPI to the operating system comprises retrieving the dynamic KPI data from a data source associated with the at least one KPI. 15. The method of claim 14 wherein feeding the dynamic KPI data associated with the at least one KPI to the operating system comprises providing the dynamic KPI data to the operating system for visualization of the at least one KPI on the home screen. 16. The method of claim 9 wherein the plurality of KPIs are associated with an operation of at least one machine system in the industrial automation environment. 17. One or more computer-readable storage media having program instructions stored thereon to facilitate visualization of an application, wherein the program instructions, when executed by a computing system, direct the computing system to at least:
render a graphical user interface to the application having a plurality of information items; receive a selection of at least one information item of the plurality of information items and instructions to pin the at least one information item to a home screen of an operating system; and feed dynamic data associated with the at least one information item to the operating system for visualization of the at least one information item on the home screen. 18. The one or more computer-readable storage media of claim 17 wherein the program instructions, to direct the computing system to feed the dynamic data associated with the at least one information item to the operating system, direct the computing system to retrieve the dynamic data from a data source associated with the at least one information item and provide the dynamic data to the operating system for visualization of the at least one information item on the home screen. 19. The one or more computer-readable storage media of claim 17 wherein the program instructions further direct the computing system to display the graphical user interface to the application having the plurality of information items in response to a user selection of the visualization of the at least one information item on the home screen of the operating system. 20. The one or more computer-readable storage media of claim 17 wherein the computing system comprises a tablet computing device comprising a touch screen. | 3,600 |
13,672 | 13,672 | 15,399,130 | 3,676 | An electrical submersible pump (“ESP”) has a seal member that carries a packer. A retainer initially retains the packer in a fixed axial position with the seal member as the ESP is lowered into a well conduit. The retainer is releasable after the packer has been set in the conduit in response to a thermal growth axial force on the seal member, enabling relative axial movement between the seal member and the packer. The seal member has annular seal rings that extend over an axial length on the tubular member that is greater than an axial length of the bore of the packer. | 1. An assembly for pumping well fluid from a well, comprising:
an electrical submersible pump (“ESP”) having a longitudinal axis, a pump and a motor, the ESP adapted to be lowered into a conduit of a well; a seal member having at least one annular seal and connected into the ESP concentric with the axis of the ESP; a packer carried by the ESP and configured to set in the conduit at a selected depth, the packer having a body with a bore through which the seal member extends with the seal in sealing engagement with the bore; a retainer that initially retains the packer in a fixed axial position with the seal member as the ESP is lowered into the conduit; and wherein the retainer is releasable after the packer has been set in response to an axial force on the seal member, enabling relative axial movement between the seal member and the packer. 2. The assembly according to claim 1, wherein:
the seal member comprises a tubular member having a central passage for receiving the flow of well fluid while the pump is operating; the at least one annular seal comprises a plurality of the annular seal rings mounted around the tubular member and axially spaced apart from each other; and the seal rings extend over an axial length on the tubular member that is greater than an axial length of the bore of the packer. 3. The assembly according to claim 1, wherein:
the seal member is configured to move downward relative to the packer after the retainer has released. 4. The assembly according to claim 1, wherein the retainer comprises a shear member extending between the seal member and the packer, the shear member being configured to shear in response to the axial force reaching a selected minimum. 5. The assembly according to claim 1, wherein the seal member comprises:
an axially extending tubular intake member at a lower end of the ESP and extending downward from the pump; and an external flange on a lower end of the intake member below and in abutment with a lower end of the packer, the flange having an outer diameter greater than an inner diameter of the bore of the packer to retain the packer on the intake member. 6. The assembly according to claim 1, wherein the seal member comprises:
a tubular intake member at a lower end of the ESP and extending downward from the pump; a lower flange on a lower end of the intake member below and in abutment with a lower end of the packer, preventing the packer from sliding off of the intake member; an upper flange above the lower flange and located in the bore of the packer prior to the retainer being released; and wherein the retainer comprises a shear member extending laterally through a packer shear member hole in a side wall of the packer and into a lower flange hole in the lower flange. 7. The assembly according to claim 1, wherein the seal member comprises:
an axially extending tubular intake member at a lower end of the ESP and extending downward from the pump; wherein the at least one annular seal comprises a plurality of seal rings extending around the tubular member and spaced axially apart from each other; prior to the retainer being released, at least one of the seal rings will be located above the bore of the packer; and after the retainer is released, at least one of the seal rings will be located below the bore of the packer. 8. The assembly according to claim 1, wherein the motor is located above the pump and the assembly further comprises:
a string of coiled tubing extending upward from the motor for mounting to a wellhead at an upper end of the well; a power cable leading from the motor through the coiled tubing for supplying power to the motor; and wherein the axial force occurs in response to thermal growth of the coiled tubing relative to the conduit after the packer has been set. 9. The assembly according to claim 1, wherein the packer comprises:
a sleeve surrounding the body of the packer, the sleeve being of an elastomeric material that swells into sealing engagement with the conduit in response to contact with well fluid to set the packer in the conduit. 10. An assembly for pumping well fluid from a well, comprising:
a first electrical submersible pump (“first ESP”) having a pump and a motor, the first ESP adapted to be secured to a string of production tubing and lowered into the well for pumping well fluid up the production tubing; a second electrical submersible pump (“second ESP”) having a longitudinal axis and motor located above a pump, the second ESP adapted to be secured to a string of coiled tubing and lowered in the string of production tubing in the event of failure of the first ESP; a tubular intake member extending downward from a lower end of the pump of the second ESP; a packer carried by the second ESP, the packer having a body with a bore through which the intake member extends in sealing engagement with the bore; the intake member having an open lower end below the packer for receiving well fluid flowing upward through the first ESP; a sleeve surrounding the body of the packer, the sleeve being of an elastomeric material that swells into sealing engagement with the production tubing in response to contact with well fluid to place the packer in a set position in the production tubing; a retainer having a retaining position that initially retains the packer in a fixed axial position with the intake member as the second ESP is lowered into the production tubing; and wherein the retainer is movable from the retaining position to a released position in response to thermal growth of the coiled tubing relative to the production tubing after the packer is in the set position, enabling the intake member to move downward relative to the bore of the packer. 11. The assembly according to claim 10, further comprising:
a sealing area on the intake member that seals with the bore of the packer and has an axial length greater than an axial length of the bore of the packer. 12. The assembly according to claim 10, further comprising:
an upper and a lower seal ring on the intake member; wherein while the retainer is in the retaining position, the lower seal ring is in sealing engagement with the bore and the upper seal ring is located above the bore; and while the retainer is in the released position, the lower seal ring is below the bore and the upper seal ring in sealing engagement with the bore. 13. The assembly according to claim 10, wherein the retainer comprises a shear member extending between the intake member and the packer, the shear member being configured to shear in response to an axial force occurring due to the thermal growth. 14. The assembly according to claim 10, further comprising:
an external flange on a lower end of the intake member that is below and in abutment with a lower end of the packer, the external flange having an outer diameter greater than an inner diameter of the bore of the packer to retain the packer on the intake member. 15. The assembly according to claim 10, further comprising:
a lower flange on a lower end of the intake member below and in abutment with a lower end of the packer, preventing the packer from sliding off of the intake member; an upper flange above the lower flange and located in the bore of the packer while the retainer is in the retaining position; and wherein the retainer comprises a shear member extending laterally through a packer shear member hole in a side wall of the packer and into a lower flange hole in the lower flange. 16. The assembly according to claim 10, further comprising:
an array of seal rings extending around the intake member and spaced axially apart from each other; and wherein the array of seal rings has an axial length greater than an axial length of the bore of the packer. 17. A method of pumping well fluid from a well, comprising:
connecting a first electrical submersible well pump (“first ESP”) to a string of production tubing and lowering the production tubing into the well along with an external power cable extending from the motor to a wellhead alongside the production tubing; supplying power through the external power cable to the first ESP and in response pumping well fluid up the production tubing; then, in the event of a failure of the first ESP, providing a second electrical submersible well pump (“second ESP”) with a packer and a seal member extending sealingly through a bore of the packer; lowering the second ESP into the production tubing with a string of coiled tubing having an internal power cable and setting the packer in the production tubing above the first ESP; supplying power through the internal power cable to the second ESP and pumping well fluid up the production tubing; and allowing axial movement of the seal member relative to the packer after the packer has been set in response to thermal growth of the coiled tubing relative to the production tubing. 18. The method according to claim 17, wherein allowing axial movement of the seal member comprising allowing the seal member to move downward relative to the packer while still maintaining sealing engagement with the bore of the packer. 19. The method according to claim 17, wherein:
providing the second ESP comprises placing a motor above a pump, extending the seal member downward from the pump of the second ESP, and with a retainer, fixing the packer to the seal member against axial movement relative to the seal member; allowing axial movement of the seal member relative to the packer comprises releasing the retainer in response to the thermal growth; and pumping well fluid up the production tubing comprises flowing the well fluid through the first ESP and the seal member into the pump of the second ESP. 20. The method according to claim 19, wherein releasing the retainer comprises shearing the retainer. | An electrical submersible pump (“ESP”) has a seal member that carries a packer. A retainer initially retains the packer in a fixed axial position with the seal member as the ESP is lowered into a well conduit. The retainer is releasable after the packer has been set in the conduit in response to a thermal growth axial force on the seal member, enabling relative axial movement between the seal member and the packer. The seal member has annular seal rings that extend over an axial length on the tubular member that is greater than an axial length of the bore of the packer.1. An assembly for pumping well fluid from a well, comprising:
an electrical submersible pump (“ESP”) having a longitudinal axis, a pump and a motor, the ESP adapted to be lowered into a conduit of a well; a seal member having at least one annular seal and connected into the ESP concentric with the axis of the ESP; a packer carried by the ESP and configured to set in the conduit at a selected depth, the packer having a body with a bore through which the seal member extends with the seal in sealing engagement with the bore; a retainer that initially retains the packer in a fixed axial position with the seal member as the ESP is lowered into the conduit; and wherein the retainer is releasable after the packer has been set in response to an axial force on the seal member, enabling relative axial movement between the seal member and the packer. 2. The assembly according to claim 1, wherein:
the seal member comprises a tubular member having a central passage for receiving the flow of well fluid while the pump is operating; the at least one annular seal comprises a plurality of the annular seal rings mounted around the tubular member and axially spaced apart from each other; and the seal rings extend over an axial length on the tubular member that is greater than an axial length of the bore of the packer. 3. The assembly according to claim 1, wherein:
the seal member is configured to move downward relative to the packer after the retainer has released. 4. The assembly according to claim 1, wherein the retainer comprises a shear member extending between the seal member and the packer, the shear member being configured to shear in response to the axial force reaching a selected minimum. 5. The assembly according to claim 1, wherein the seal member comprises:
an axially extending tubular intake member at a lower end of the ESP and extending downward from the pump; and an external flange on a lower end of the intake member below and in abutment with a lower end of the packer, the flange having an outer diameter greater than an inner diameter of the bore of the packer to retain the packer on the intake member. 6. The assembly according to claim 1, wherein the seal member comprises:
a tubular intake member at a lower end of the ESP and extending downward from the pump; a lower flange on a lower end of the intake member below and in abutment with a lower end of the packer, preventing the packer from sliding off of the intake member; an upper flange above the lower flange and located in the bore of the packer prior to the retainer being released; and wherein the retainer comprises a shear member extending laterally through a packer shear member hole in a side wall of the packer and into a lower flange hole in the lower flange. 7. The assembly according to claim 1, wherein the seal member comprises:
an axially extending tubular intake member at a lower end of the ESP and extending downward from the pump; wherein the at least one annular seal comprises a plurality of seal rings extending around the tubular member and spaced axially apart from each other; prior to the retainer being released, at least one of the seal rings will be located above the bore of the packer; and after the retainer is released, at least one of the seal rings will be located below the bore of the packer. 8. The assembly according to claim 1, wherein the motor is located above the pump and the assembly further comprises:
a string of coiled tubing extending upward from the motor for mounting to a wellhead at an upper end of the well; a power cable leading from the motor through the coiled tubing for supplying power to the motor; and wherein the axial force occurs in response to thermal growth of the coiled tubing relative to the conduit after the packer has been set. 9. The assembly according to claim 1, wherein the packer comprises:
a sleeve surrounding the body of the packer, the sleeve being of an elastomeric material that swells into sealing engagement with the conduit in response to contact with well fluid to set the packer in the conduit. 10. An assembly for pumping well fluid from a well, comprising:
a first electrical submersible pump (“first ESP”) having a pump and a motor, the first ESP adapted to be secured to a string of production tubing and lowered into the well for pumping well fluid up the production tubing; a second electrical submersible pump (“second ESP”) having a longitudinal axis and motor located above a pump, the second ESP adapted to be secured to a string of coiled tubing and lowered in the string of production tubing in the event of failure of the first ESP; a tubular intake member extending downward from a lower end of the pump of the second ESP; a packer carried by the second ESP, the packer having a body with a bore through which the intake member extends in sealing engagement with the bore; the intake member having an open lower end below the packer for receiving well fluid flowing upward through the first ESP; a sleeve surrounding the body of the packer, the sleeve being of an elastomeric material that swells into sealing engagement with the production tubing in response to contact with well fluid to place the packer in a set position in the production tubing; a retainer having a retaining position that initially retains the packer in a fixed axial position with the intake member as the second ESP is lowered into the production tubing; and wherein the retainer is movable from the retaining position to a released position in response to thermal growth of the coiled tubing relative to the production tubing after the packer is in the set position, enabling the intake member to move downward relative to the bore of the packer. 11. The assembly according to claim 10, further comprising:
a sealing area on the intake member that seals with the bore of the packer and has an axial length greater than an axial length of the bore of the packer. 12. The assembly according to claim 10, further comprising:
an upper and a lower seal ring on the intake member; wherein while the retainer is in the retaining position, the lower seal ring is in sealing engagement with the bore and the upper seal ring is located above the bore; and while the retainer is in the released position, the lower seal ring is below the bore and the upper seal ring in sealing engagement with the bore. 13. The assembly according to claim 10, wherein the retainer comprises a shear member extending between the intake member and the packer, the shear member being configured to shear in response to an axial force occurring due to the thermal growth. 14. The assembly according to claim 10, further comprising:
an external flange on a lower end of the intake member that is below and in abutment with a lower end of the packer, the external flange having an outer diameter greater than an inner diameter of the bore of the packer to retain the packer on the intake member. 15. The assembly according to claim 10, further comprising:
a lower flange on a lower end of the intake member below and in abutment with a lower end of the packer, preventing the packer from sliding off of the intake member; an upper flange above the lower flange and located in the bore of the packer while the retainer is in the retaining position; and wherein the retainer comprises a shear member extending laterally through a packer shear member hole in a side wall of the packer and into a lower flange hole in the lower flange. 16. The assembly according to claim 10, further comprising:
an array of seal rings extending around the intake member and spaced axially apart from each other; and wherein the array of seal rings has an axial length greater than an axial length of the bore of the packer. 17. A method of pumping well fluid from a well, comprising:
connecting a first electrical submersible well pump (“first ESP”) to a string of production tubing and lowering the production tubing into the well along with an external power cable extending from the motor to a wellhead alongside the production tubing; supplying power through the external power cable to the first ESP and in response pumping well fluid up the production tubing; then, in the event of a failure of the first ESP, providing a second electrical submersible well pump (“second ESP”) with a packer and a seal member extending sealingly through a bore of the packer; lowering the second ESP into the production tubing with a string of coiled tubing having an internal power cable and setting the packer in the production tubing above the first ESP; supplying power through the internal power cable to the second ESP and pumping well fluid up the production tubing; and allowing axial movement of the seal member relative to the packer after the packer has been set in response to thermal growth of the coiled tubing relative to the production tubing. 18. The method according to claim 17, wherein allowing axial movement of the seal member comprising allowing the seal member to move downward relative to the packer while still maintaining sealing engagement with the bore of the packer. 19. The method according to claim 17, wherein:
providing the second ESP comprises placing a motor above a pump, extending the seal member downward from the pump of the second ESP, and with a retainer, fixing the packer to the seal member against axial movement relative to the seal member; allowing axial movement of the seal member relative to the packer comprises releasing the retainer in response to the thermal growth; and pumping well fluid up the production tubing comprises flowing the well fluid through the first ESP and the seal member into the pump of the second ESP. 20. The method according to claim 19, wherein releasing the retainer comprises shearing the retainer. | 3,600 |
13,673 | 13,673 | 14,016,853 | 3,683 | Techniques are disclosed for selecting one or more services and locations for performing a user-requested operation on a file. A user interface can be used to search for files by name, date, content, location, and/or other parameters. The search results can be derived from information stored in a local cache and presented as a list from which the user can select files and perform operations on the selection. The cache can include historical information about each service and location, including a previously observed monetary cost to perform the operation and/or a previously observed amount of time used to perform the operation. A weighted value associated with any given service can be computed based on the historical information in the local cache, the age of the historical information and a cost criterion. The list of services can be ordered by the weighted value. | 1. A computer-implemented method comprising:
receiving, via a user interface, a user request to perform an operation on a file; retrieving, from a cache, historical information about each of a plurality of services capable of performing the operation, the historical information including at least one of a monetary cost of performing the operation and an amount of time to perform the operation; computing, for each service, a weighted value associated with performing the operation based on the historical information, an age of the historical information, and a user-specified cost criterion; and generating a list of the services indicating the weighted value of each service. 2. The method of claim 1, wherein the user-specified cost criterion represents a relative importance of the monetary cost of performing the operation with respect to the amount of time to perform the operation, and wherein the method further comprises adjusting the weighted value based on the relative importance. 3. The method of claim 1, wherein the user-specified cost criterion represents at least one of a maximum value of the monetary cost of performing the operation and a maximum amount of the time to perform the operation, and wherein the weighted value is computed based on a portion of the historical information for which the user-specified cost criterion is satisfied. 4. The method of claim 1, further comprising displaying the list of the services via the user interface. 5. The method of claim 4, further comprising receiving a user selection of one of the services via the user interface, and sending a request to the user-selected service to perform the operation. 6. The method of claim 5, further comprising refreshing the historical information in the cache based on the user-selected service. 7. The method of claim 6, further comprising repeating the computing of the weighted value and generating the list of services based the refreshed historical information. 8. The method of claim 1, further comprising weighting the age of the historical information about one of the services based on at least one of a prior user selection of the respective service and a measured outcome of a prior performance of the operation by the respective service. 9. The method of claim 1, further comprising classifying each service as one of a data storage service and an application service, wherein the weighted value is further computed with respect to the classification of each service. 10. A system, comprising:
a storage; and a processor operatively coupled to the storage and configured to: receive, via a user interface, a user request to perform an operation on a file; retrieve, from a cache, historical information about each of a plurality of services capable of performing the operation, the historical information including at least one of a monetary cost of performing the operation and an amount of time to perform the operation; compute, for each service, a weighted value associated with performing the operation based on the historical information, an age of the historical information, and a user-specified cost criterion; and generate a list of the services indicating the weighted value of each service. 11. The system of claim 10, wherein the user-specified cost criterion represents a relative importance of the monetary cost of performing the operation with respect to the amount of time to perform the operation, and wherein the processor is further configured to adjust the weighted value based on the relative importance. 12. The system of claim 10, wherein the user-specified cost criterion represents at least one of a maximum value of the monetary cost of performing the operation and a maximum amount of the time to perform the operation, and wherein the weighted value is computed based on a portion of the historical information for which the user-specified cost criterion is satisfied. 13. The system of claim 10, wherein the user interface is operatively connected to the processor, and wherein the processor is further configured to display the list of the services via the user interface. 14. The system of claim 13, wherein the processor is further configured to receive a user selection of one of the services via the user interface, and send a request to the user-selected service to perform the operation. 15. The system of claim 14, wherein the processor is further configured to refresh the historical information in the cache based on the user-selected service. 16. The system of claim 15, wherein the processor is further configured to repeat the computing of the weighted value and generating the list of services based the refreshed historical information. 17. The system of claim 10, wherein the processor is further configured to weight the age of the historical information about one of the services based on at least one of a prior user selection of the respective service and a measured outcome of a prior performance of the operation by the respective service. 18. The system of claim 10, wherein the processor is further configured to classify each service as one of a data storage service and an application service, wherein the weighted value is further computed with respect to the classification of each service. 19. A non-transient computer program product having instructions encoded thereon that when executed by one or more processors cause a process to be carried out, the process comprising:
receive, via a user interface, a user request to perform an operation on a file; retrieve, from a cache, historical information about each of a plurality of services capable of performing the operation, the historical information including at least one of a monetary cost of performing the operation and an amount of time to perform the operation; compute, for each service, a weighted value associated with performing the operation based on the historical information, an age of the historical information, and a user-specified cost criterion; and generate a list of the services indicating the weighted value of each service. 20. The non-transient computer-readable medium of claim 19, wherein the user-specified cost criterion represents a relative importance of the monetary cost of performing the operation with respect to the amount of time to perform the operation, and wherein the computer-readable medium has further instructions encoded thereon that when executed by the processor cause the processor to adjust the weighted value based on the relative importance. | Techniques are disclosed for selecting one or more services and locations for performing a user-requested operation on a file. A user interface can be used to search for files by name, date, content, location, and/or other parameters. The search results can be derived from information stored in a local cache and presented as a list from which the user can select files and perform operations on the selection. The cache can include historical information about each service and location, including a previously observed monetary cost to perform the operation and/or a previously observed amount of time used to perform the operation. A weighted value associated with any given service can be computed based on the historical information in the local cache, the age of the historical information and a cost criterion. The list of services can be ordered by the weighted value.1. A computer-implemented method comprising:
receiving, via a user interface, a user request to perform an operation on a file; retrieving, from a cache, historical information about each of a plurality of services capable of performing the operation, the historical information including at least one of a monetary cost of performing the operation and an amount of time to perform the operation; computing, for each service, a weighted value associated with performing the operation based on the historical information, an age of the historical information, and a user-specified cost criterion; and generating a list of the services indicating the weighted value of each service. 2. The method of claim 1, wherein the user-specified cost criterion represents a relative importance of the monetary cost of performing the operation with respect to the amount of time to perform the operation, and wherein the method further comprises adjusting the weighted value based on the relative importance. 3. The method of claim 1, wherein the user-specified cost criterion represents at least one of a maximum value of the monetary cost of performing the operation and a maximum amount of the time to perform the operation, and wherein the weighted value is computed based on a portion of the historical information for which the user-specified cost criterion is satisfied. 4. The method of claim 1, further comprising displaying the list of the services via the user interface. 5. The method of claim 4, further comprising receiving a user selection of one of the services via the user interface, and sending a request to the user-selected service to perform the operation. 6. The method of claim 5, further comprising refreshing the historical information in the cache based on the user-selected service. 7. The method of claim 6, further comprising repeating the computing of the weighted value and generating the list of services based the refreshed historical information. 8. The method of claim 1, further comprising weighting the age of the historical information about one of the services based on at least one of a prior user selection of the respective service and a measured outcome of a prior performance of the operation by the respective service. 9. The method of claim 1, further comprising classifying each service as one of a data storage service and an application service, wherein the weighted value is further computed with respect to the classification of each service. 10. A system, comprising:
a storage; and a processor operatively coupled to the storage and configured to: receive, via a user interface, a user request to perform an operation on a file; retrieve, from a cache, historical information about each of a plurality of services capable of performing the operation, the historical information including at least one of a monetary cost of performing the operation and an amount of time to perform the operation; compute, for each service, a weighted value associated with performing the operation based on the historical information, an age of the historical information, and a user-specified cost criterion; and generate a list of the services indicating the weighted value of each service. 11. The system of claim 10, wherein the user-specified cost criterion represents a relative importance of the monetary cost of performing the operation with respect to the amount of time to perform the operation, and wherein the processor is further configured to adjust the weighted value based on the relative importance. 12. The system of claim 10, wherein the user-specified cost criterion represents at least one of a maximum value of the monetary cost of performing the operation and a maximum amount of the time to perform the operation, and wherein the weighted value is computed based on a portion of the historical information for which the user-specified cost criterion is satisfied. 13. The system of claim 10, wherein the user interface is operatively connected to the processor, and wherein the processor is further configured to display the list of the services via the user interface. 14. The system of claim 13, wherein the processor is further configured to receive a user selection of one of the services via the user interface, and send a request to the user-selected service to perform the operation. 15. The system of claim 14, wherein the processor is further configured to refresh the historical information in the cache based on the user-selected service. 16. The system of claim 15, wherein the processor is further configured to repeat the computing of the weighted value and generating the list of services based the refreshed historical information. 17. The system of claim 10, wherein the processor is further configured to weight the age of the historical information about one of the services based on at least one of a prior user selection of the respective service and a measured outcome of a prior performance of the operation by the respective service. 18. The system of claim 10, wherein the processor is further configured to classify each service as one of a data storage service and an application service, wherein the weighted value is further computed with respect to the classification of each service. 19. A non-transient computer program product having instructions encoded thereon that when executed by one or more processors cause a process to be carried out, the process comprising:
receive, via a user interface, a user request to perform an operation on a file; retrieve, from a cache, historical information about each of a plurality of services capable of performing the operation, the historical information including at least one of a monetary cost of performing the operation and an amount of time to perform the operation; compute, for each service, a weighted value associated with performing the operation based on the historical information, an age of the historical information, and a user-specified cost criterion; and generate a list of the services indicating the weighted value of each service. 20. The non-transient computer-readable medium of claim 19, wherein the user-specified cost criterion represents a relative importance of the monetary cost of performing the operation with respect to the amount of time to perform the operation, and wherein the computer-readable medium has further instructions encoded thereon that when executed by the processor cause the processor to adjust the weighted value based on the relative importance. | 3,600 |
13,674 | 13,674 | 12,840,187 | 3,692 | Systems and methods for providing trading exclusivity/priority in response to quantity of items traded in electronic trading systems is provided. The method preferably includes receiving an incoming order for the item and determining whether the incoming order matches a current order for the item and satisfies a minimum volume requirement. When the incoming order matches a current order for the item and satisfies a minimum volume requirement, the method includes transacting a trade between the incoming order and the current order and providing a predetermined time period of exclusive trading between a participant associated with the incoming order and a participant associated with the current order. | 1. A method for trading an item in an electronic trading system, the method comprising:
receiving at least one processor an incoming order for the item from at least one server coupled to the at least one processor over a network; determining by the at least one processor coupled to the at least one server that the incoming order is contra to a current order for the item, includes a volume equal to or greater than a volume of the current order, and satisfies a predetermined minimum volume requirement; based on the act of determining that the incoming order is contra to a current order, includes a volume equal to or greater than a volume of the current order, and satisfies the predetermined minimum volume requirement: transacting a trade between the incoming order and the current order in the electronic trading system; and providing in the electronic trading system a predetermined time period of exclusive trading between a participant associated with the incoming order and a participant associated with the current order. 2. The method of claim 1, in which the act of determining comprises determining that at least one of 1) the incoming order, 2) the current order, and 3) the transacting a trade occurred in a predetermined window of time. 3. The method of claim 1, in which the act of determining comprises:
determining that at least one of 1) the incoming order, 2) the current order, and 3) the transacting a trade occurred outside a predetermined window of time; and based on the act of determining that at least one of 1) the incoming order, 2) the current order, and 3) the transacting a trade occurred outside a predetermined window of time, reducing the minimum volume requirement. 4. The method of claim 1, in which the act of determining comprises:
determining that at least one of 1) the incoming order, 2) the current order, and 3) the transacting a trade occurred outside a predetermined window of time; and based on the act of determining that at least one of 1) the incoming order, 2) the current order, and 3) the transacting a trade occurred outside a predetermined window of time, withdrawing the minimum volume requirement. 5. The method of claim 1, wherein the act of determining that the incoming order satisfies the minimum volume requirement comprises using an aggregate trading volume associated with at least one of the participant associated with the incoming order and the participant associated with the current order to determine that the minimum volume requirement has been satisfied. 6. The method of claim 1, wherein the act of determining that the incoming order satisfies the minimum volume requirement comprises using an aggregate trading volume of a group of participants associated with at least one of the participant associated with the incoming order and the participant associated with the current order to determine that the minimum volume requirement has been satisfied. 7. The method of claim 5, wherein the act of using an aggregate trading volume of a group of participants to determine that the minimum volume requirement has been satisfied comprises determining that an aggregated daily volume of the group of participants has surpassed a threshold amount. 8. The method of claim 1 further comprising adjusting the minimum volume requirement based on time of day. 9. The method of claim 1 further comprising adjusting the minimum volume requirement based on trading volatility. 10. A computer system comprising:
at least one processor coupled to at least one server; a memory coupled to the at least one processor, in which the memory stores instructions which, when executed by the processor, direct the at least one processor to:
receive an incoming order for the item from the at least one processor coupled to the at least one server;
determine that the incoming order is contra to a current order for the item, includes a volume equal to or greater than a volume of the current order, and satisfies a predetermined minimum volume requirement;
based on the act of determining that the incoming order is contra to a current order, includes a volume equal to or greater than a volume of the current order, and satisfies the predetermined minimum volume requirement:
transact a trade in an electronic trading system between the incoming order and the current order; and
provide a predetermined time period of exclusive trading between a participant associated with the incoming order and a participant associated with the current order. 11. The system of claim 10, in which the memory stores instructions which, when executed by the processor, further direct the processor to:
determine that at least one of 1) the incoming order, 2) the current order, and 3) the transacting a trade occurred in a predetermined window of time and, based on the act of determining that at least one of 1) the incoming order, 2) the current order, and 3) the transacting a trade occurred in a predetermined window of time, reduce the minimum volume requirement. 12. The system of claim 10, in which the memory stores instructions which, when executed by the processor, further direct the processor to:
determine that at least one of 1) the incoming order, 2) the current order, and 3) the transacting a trade occurred in a predetermined window of time and, based on the act of determining that at least one of 1) the incoming order, 2) the current order, and 3) the transacting a trade occurred in a predetermined window of time, withdraw the minimum volume requirement. 13. The system of claim 10, in which the memory stores instructions which, when executed by the processor, further direct the processor to:
adjust the minimum volume requirement based on time of day. 14. The system of claim 10, in which the memory stores instructions which, when executed by the processor, further direct the processor to:
adjust the minimum volume requirement based on trading volatility. 15. The system of claim 10, in which the memory stores instructions which, when executed by the processor, further direct the processor to:
determine that the minimum volume requirement has been satisfied based on an aggregate trading volume of a group of participants associated with at least one of the participant associated with the incoming order and the participant associated with the current order to determine that the minimum volume requirement has been satisfied. 16. The system of claim 10, in which the memory stores instructions which, when executed by the processor, further direct the processor to:
determine that the minimum volume requirement has been satisfied based on an aggregate trading volume associated with at least one of the participant associated with the incoming order and the participant associated with the current order. 17. A method for trading an item in an electronic trading system, the method comprising:
during a trading day, receiving at the at least one processor a first incoming order for the item from at least one server coupled to the at least one processor over a network; determining by the at least one processor coupled to the at least one server that the first incoming order is contra to a first current order for the item, includes a volume equal to or greater than a volume of the first current order, and satisfies a predetermined minimum volume requirement that varies over time during a trading day such that the minimum volume requirement at a first time during the trading day is different from the minimum volume requirement at a second time during the trading day; based on the act of determining that the first incoming order is contra to the first current order, includes a volume equal to or greater than a volume of the first current order, and satisfies the predetermined minimum volume requirement, transacting a trade between the first incoming order and the first current order in the electronic trading system; during the trading day, adjusting, by the at least one processor coupled to the at least one server, the predetermined minimum volume requirement; during the trading day, receiving, by the at least one processor coupled to the at least one server, a second incoming order for the item from the at least one server; determining, by the at least one processor coupled to the at least one server, that the second incoming order is contra to a second current order for the item, includes a volume equal to or greater than a volume of the second current order, and satisfies the adjusted predetermined minimum volume requirement; and based on the act of determining that the second incoming order is contra to the second current order for the item, includes a volume equal to or greater than the volume of the second current order, and satisfies the adjusted predetermined minimum volume requirement, transacting a trade during the trading day between the incoming order and the current order in the electronic trading system. 18. The method of claim 17, further comprising:
based on the act of determining that the first incoming order is contra to the first current order, includes a volume equal to or greater than a volume of the first current order, and satisfies the predetermined minimum volume requirement, providing a predetermined time period of exclusive trading between a participant associated with the first incoming order and a participant associated with the first current order; and based on the act of determining that the second incoming order is contra to the second current order for the item, includes a volume equal to or greater than the volume of the second current order, and satisfies the adjusted predetermined minimum volume requirement, providing a predetermined time period of exclusive trading between a participant associated with the second incoming order and a participant associated with the second current order. | Systems and methods for providing trading exclusivity/priority in response to quantity of items traded in electronic trading systems is provided. The method preferably includes receiving an incoming order for the item and determining whether the incoming order matches a current order for the item and satisfies a minimum volume requirement. When the incoming order matches a current order for the item and satisfies a minimum volume requirement, the method includes transacting a trade between the incoming order and the current order and providing a predetermined time period of exclusive trading between a participant associated with the incoming order and a participant associated with the current order.1. A method for trading an item in an electronic trading system, the method comprising:
receiving at least one processor an incoming order for the item from at least one server coupled to the at least one processor over a network; determining by the at least one processor coupled to the at least one server that the incoming order is contra to a current order for the item, includes a volume equal to or greater than a volume of the current order, and satisfies a predetermined minimum volume requirement; based on the act of determining that the incoming order is contra to a current order, includes a volume equal to or greater than a volume of the current order, and satisfies the predetermined minimum volume requirement: transacting a trade between the incoming order and the current order in the electronic trading system; and providing in the electronic trading system a predetermined time period of exclusive trading between a participant associated with the incoming order and a participant associated with the current order. 2. The method of claim 1, in which the act of determining comprises determining that at least one of 1) the incoming order, 2) the current order, and 3) the transacting a trade occurred in a predetermined window of time. 3. The method of claim 1, in which the act of determining comprises:
determining that at least one of 1) the incoming order, 2) the current order, and 3) the transacting a trade occurred outside a predetermined window of time; and based on the act of determining that at least one of 1) the incoming order, 2) the current order, and 3) the transacting a trade occurred outside a predetermined window of time, reducing the minimum volume requirement. 4. The method of claim 1, in which the act of determining comprises:
determining that at least one of 1) the incoming order, 2) the current order, and 3) the transacting a trade occurred outside a predetermined window of time; and based on the act of determining that at least one of 1) the incoming order, 2) the current order, and 3) the transacting a trade occurred outside a predetermined window of time, withdrawing the minimum volume requirement. 5. The method of claim 1, wherein the act of determining that the incoming order satisfies the minimum volume requirement comprises using an aggregate trading volume associated with at least one of the participant associated with the incoming order and the participant associated with the current order to determine that the minimum volume requirement has been satisfied. 6. The method of claim 1, wherein the act of determining that the incoming order satisfies the minimum volume requirement comprises using an aggregate trading volume of a group of participants associated with at least one of the participant associated with the incoming order and the participant associated with the current order to determine that the minimum volume requirement has been satisfied. 7. The method of claim 5, wherein the act of using an aggregate trading volume of a group of participants to determine that the minimum volume requirement has been satisfied comprises determining that an aggregated daily volume of the group of participants has surpassed a threshold amount. 8. The method of claim 1 further comprising adjusting the minimum volume requirement based on time of day. 9. The method of claim 1 further comprising adjusting the minimum volume requirement based on trading volatility. 10. A computer system comprising:
at least one processor coupled to at least one server; a memory coupled to the at least one processor, in which the memory stores instructions which, when executed by the processor, direct the at least one processor to:
receive an incoming order for the item from the at least one processor coupled to the at least one server;
determine that the incoming order is contra to a current order for the item, includes a volume equal to or greater than a volume of the current order, and satisfies a predetermined minimum volume requirement;
based on the act of determining that the incoming order is contra to a current order, includes a volume equal to or greater than a volume of the current order, and satisfies the predetermined minimum volume requirement:
transact a trade in an electronic trading system between the incoming order and the current order; and
provide a predetermined time period of exclusive trading between a participant associated with the incoming order and a participant associated with the current order. 11. The system of claim 10, in which the memory stores instructions which, when executed by the processor, further direct the processor to:
determine that at least one of 1) the incoming order, 2) the current order, and 3) the transacting a trade occurred in a predetermined window of time and, based on the act of determining that at least one of 1) the incoming order, 2) the current order, and 3) the transacting a trade occurred in a predetermined window of time, reduce the minimum volume requirement. 12. The system of claim 10, in which the memory stores instructions which, when executed by the processor, further direct the processor to:
determine that at least one of 1) the incoming order, 2) the current order, and 3) the transacting a trade occurred in a predetermined window of time and, based on the act of determining that at least one of 1) the incoming order, 2) the current order, and 3) the transacting a trade occurred in a predetermined window of time, withdraw the minimum volume requirement. 13. The system of claim 10, in which the memory stores instructions which, when executed by the processor, further direct the processor to:
adjust the minimum volume requirement based on time of day. 14. The system of claim 10, in which the memory stores instructions which, when executed by the processor, further direct the processor to:
adjust the minimum volume requirement based on trading volatility. 15. The system of claim 10, in which the memory stores instructions which, when executed by the processor, further direct the processor to:
determine that the minimum volume requirement has been satisfied based on an aggregate trading volume of a group of participants associated with at least one of the participant associated with the incoming order and the participant associated with the current order to determine that the minimum volume requirement has been satisfied. 16. The system of claim 10, in which the memory stores instructions which, when executed by the processor, further direct the processor to:
determine that the minimum volume requirement has been satisfied based on an aggregate trading volume associated with at least one of the participant associated with the incoming order and the participant associated with the current order. 17. A method for trading an item in an electronic trading system, the method comprising:
during a trading day, receiving at the at least one processor a first incoming order for the item from at least one server coupled to the at least one processor over a network; determining by the at least one processor coupled to the at least one server that the first incoming order is contra to a first current order for the item, includes a volume equal to or greater than a volume of the first current order, and satisfies a predetermined minimum volume requirement that varies over time during a trading day such that the minimum volume requirement at a first time during the trading day is different from the minimum volume requirement at a second time during the trading day; based on the act of determining that the first incoming order is contra to the first current order, includes a volume equal to or greater than a volume of the first current order, and satisfies the predetermined minimum volume requirement, transacting a trade between the first incoming order and the first current order in the electronic trading system; during the trading day, adjusting, by the at least one processor coupled to the at least one server, the predetermined minimum volume requirement; during the trading day, receiving, by the at least one processor coupled to the at least one server, a second incoming order for the item from the at least one server; determining, by the at least one processor coupled to the at least one server, that the second incoming order is contra to a second current order for the item, includes a volume equal to or greater than a volume of the second current order, and satisfies the adjusted predetermined minimum volume requirement; and based on the act of determining that the second incoming order is contra to the second current order for the item, includes a volume equal to or greater than the volume of the second current order, and satisfies the adjusted predetermined minimum volume requirement, transacting a trade during the trading day between the incoming order and the current order in the electronic trading system. 18. The method of claim 17, further comprising:
based on the act of determining that the first incoming order is contra to the first current order, includes a volume equal to or greater than a volume of the first current order, and satisfies the predetermined minimum volume requirement, providing a predetermined time period of exclusive trading between a participant associated with the first incoming order and a participant associated with the first current order; and based on the act of determining that the second incoming order is contra to the second current order for the item, includes a volume equal to or greater than the volume of the second current order, and satisfies the adjusted predetermined minimum volume requirement, providing a predetermined time period of exclusive trading between a participant associated with the second incoming order and a participant associated with the second current order. | 3,600 |
13,675 | 13,675 | 14,902,597 | 3,677 | A jewelry system with interchangeable decorative segments is provided. The jewelry system includes a plurality of decorative segments, each such segment having a center aperture that extends through the segment along a vertical axis in the center of the segment from a top surface to a bottom surface. The jewelry system also includes a central rod for receiving one or more segments, the rod including a stopper at the lower end to support the received segments and an eyelet at the upper end to receive a chain which when received, prevents the received segments from slipping off the top part of the rod while also facilitating the jewelry to be worn. | 1. A jewelry system comprising:
a) a plurality of segments, each of said segments comprising an aperture that extends through each of said segments, said apertures positioned in each of said segments to allow for said apertures in each of said segments to align at least substantially coaxially when said plurality of segments are brought together; and, b) a rod for receiving said segments and extending through said apertures of said segments, said rod including a first end including a stopper for limiting movement of said segments along said rod and a completely closed eyelet integrally formed in a second end of said rod opposite to said first end of said rod, said eyelet adapted to receive there-through a threadable, frictionally engageable member, which, when threaded through said eyelet, secures said plurality of segments on said rod. 2. The jewelry system of claim 1, wherein said apertures of each of said segments are centrally positioned in said segment, and said rod is vertically oriented for receiving each of said segments in a coaxial alignment. 3. The jewelry system of claim 2, wherein said rod and said stopper are integrally formed as a single unit. 4. The jewelry system of claim 1, additionally comprising a cord, said cord being received through said eyelet of said rod. 5. The jewelry system of claim 1, wherein said segments are interchangeable with each other. 6. The jewelry system of claim 1, wherein said segments include decorative segments. 7. The jewelry system of claim 1, wherein said threadable, frictionally engageable member is a necklace chain. 8. The jewelry system of claim 1, wherein said threadable, frictionally engageable member is a bracelet chain. 9. The jewelry system of claim 1, wherein said threadable, frictionally engageable member is a rod of a brooch. 10. The jewelry system of claim 1, wherein said threadable, frictionally engageable member is an earring connection piece. | A jewelry system with interchangeable decorative segments is provided. The jewelry system includes a plurality of decorative segments, each such segment having a center aperture that extends through the segment along a vertical axis in the center of the segment from a top surface to a bottom surface. The jewelry system also includes a central rod for receiving one or more segments, the rod including a stopper at the lower end to support the received segments and an eyelet at the upper end to receive a chain which when received, prevents the received segments from slipping off the top part of the rod while also facilitating the jewelry to be worn.1. A jewelry system comprising:
a) a plurality of segments, each of said segments comprising an aperture that extends through each of said segments, said apertures positioned in each of said segments to allow for said apertures in each of said segments to align at least substantially coaxially when said plurality of segments are brought together; and, b) a rod for receiving said segments and extending through said apertures of said segments, said rod including a first end including a stopper for limiting movement of said segments along said rod and a completely closed eyelet integrally formed in a second end of said rod opposite to said first end of said rod, said eyelet adapted to receive there-through a threadable, frictionally engageable member, which, when threaded through said eyelet, secures said plurality of segments on said rod. 2. The jewelry system of claim 1, wherein said apertures of each of said segments are centrally positioned in said segment, and said rod is vertically oriented for receiving each of said segments in a coaxial alignment. 3. The jewelry system of claim 2, wherein said rod and said stopper are integrally formed as a single unit. 4. The jewelry system of claim 1, additionally comprising a cord, said cord being received through said eyelet of said rod. 5. The jewelry system of claim 1, wherein said segments are interchangeable with each other. 6. The jewelry system of claim 1, wherein said segments include decorative segments. 7. The jewelry system of claim 1, wherein said threadable, frictionally engageable member is a necklace chain. 8. The jewelry system of claim 1, wherein said threadable, frictionally engageable member is a bracelet chain. 9. The jewelry system of claim 1, wherein said threadable, frictionally engageable member is a rod of a brooch. 10. The jewelry system of claim 1, wherein said threadable, frictionally engageable member is an earring connection piece. | 3,600 |
13,676 | 13,676 | 14,449,848 | 3,681 | Engagement point management systems are presented. A consumer's behavior can be observed via one or more digital representations. The observed behaviors can be mapped to an expected behavior pattern constructed from individual engagement points. Each engagement point represents a possible communication channel between a third party content provider and the consumer. When a consumer is found within an engagement point, context information associated with the consumer can be matched with contexts of the third party's content. | 1. An engagement point management system comprising:
an engagement point database storing a plurality of engagement points; and an engagement engine coupled with the engagement point database and configured to:
obtain consumer behavior data;
derive a context from the consumer behavior data;
acquire a set of engagement points from the engagement point database as a function of the context;
instantiate an expected behavior pattern by linking engagement points in the set of engagement points according to a behavior rules set, each linked engagement point assigned a contextual engagement point signature;
configure at least some of the linked engagement points in the expected behavior pattern with at least one user interaction interface; and
configure a content server to present content via at least one user interaction interface upon satisfaction of the contextual engagement point signature of a corresponding linked engagement point. 2. The system of claim 1, wherein the engagement points comprise at least one of following: a user state, a consumer state, an environment state, a device state, a consumer state of mind, and a physical place. 3. The system of claim 1, wherein the behavior pattern comprises at least one of the following classes of engagement points: sports engagement points, gaming engagement points, travel engagement points, continuum of care engagement points, medical service engagement points, patient healthcare engagement points, education engagement points, life stage engagement points, and financial engagement points. 4. The system of claim 1, wherein the behavior pattern comprises shopping engagement points. 5. The system of claim 4, wherein the shopping engagement points comprise: an awareness point, a discovery point, an analysis point, a decision point, an in-store experience point, a selection point, a payment point, a follow up point, and a support point. 6. The system of claim 1, wherein user interact interface comprises an instantiated engagement point engine. 7. The system of claim 6, wherein the instantiated engagement point engine comprises at least one of the following: an awareness engine, a discovery engine, an analysis engine, a decision engine, an in-store experience engine, a selection engine, a payment engine, a follow up engine, and a support engine. 8. The system of claim 1, wherein the engagement engine is further configured to obtain the behavior data from at least one of the following: a mobile device, a vehicle, a kiosk, a computer, a sensor, a biometric hub, a loyalty program service, a healthcare analysis stream management engine, and a game device. 9. The system of claim 1, wherein the behavior data comprises at least one of the following modalities of data: image data, audio data, sensor data, location data, position data, orientation data, time data, text data, and ambient data. 10. The system of claim 1, wherein the context is selected from the group consisting of: a current context, a future context, and a past context. 11. The system of claim 1, wherein the engagement engine is further configured to create a new engagement point. 12. The system of claim 1, wherein the context comprises links to known engagement points. 13. The system of claim 1, wherein the behavior rule set comprises an a priori generated rule set. 14. The system of claim 1, wherein the engagement engine is further configured to construct the behavior rule set in substantially real-time upon receiving the consumer behavior data. 15. The system of claim 1, engagement engine is further configured to construct the behavior rule set as a function of the context. 16. The system of claim 1, wherein the user interaction interface comprises at least one of the following: a direct mail, a letter, a website, an email, a kiosk, a text message via cellular phone, a consumer service, and a mobile device application. 17. The system of claim 1, wherein the user interaction interface is configured to enable a third party marketer to submit the content to the user via the user interaction interface. 18. The system of claim 1, further comprising an engagement point purchasing server configured to accept fees with respect to the engagement points within the behavior pattern. 19. The system of claim 18, wherein the fees include at least one of the following: a per use charge, a bid, an auction result, a subscription, and a flat fee. 20. A method for providing a personalized consumer engagement experience comprising the steps of:
providing access to an engagement point database, wherein the engagement point database is configured to store a plurality engagement points; configuring a computing device to operate as an engagement engine coupled with the engagement point database; obtaining, by the engagement engine, consumer behavior data; deriving, by the engagement engine, a context from the consumer behavior data; acquiring, by the engagement engine, a set of engagement points from the engagement point database as a function of the context; instantiating, by the engagement engine, an expected behavior pattern by linking engagement points in the set of engagement points according to a behavior rules set, each linked engagement point assigned a contextual engagement point signature; configuring, by the engagement engine, at least some of the linked engagement points in the expected behavior pattern with at least one user interaction interface; and configuring, by the engagement engine, a content server to present content via at least one user interaction interface upon satisfaction of the contextual engagement point signature of a corresponding linked engagement point. 21. A computer related product comprising a non-transitory computer readable medium storing instructions that cause a processor to execute the steps of:
maintaining an engagement point database storing a plurality engagement points; configuring a computing device to operate as an engagement engine coupled with the engagement point database; obtaining, by the engagement engine, a consumer behavior data; deriving, by the engagement engine, a context from the consumer behavior data; acquiring, by the engagement engine, a set of engagement points from the engagement point database as a function of the context; instantiating, by the engagement engine, an expected behavior pattern by linking engagement points in the set of engagement points according to a behavior rules set, each linked engagement point assigned a contextual engagement point signature; configuring, by the engagement engine, at least some of the linked engagement points in the expected behavior pattern with at least one user interaction interface; and configuring, by the engagement engine, a content server to present content via at least one user interaction interface upon satisfaction of the contextual engagement point signature of a corresponding linked engagement point. | Engagement point management systems are presented. A consumer's behavior can be observed via one or more digital representations. The observed behaviors can be mapped to an expected behavior pattern constructed from individual engagement points. Each engagement point represents a possible communication channel between a third party content provider and the consumer. When a consumer is found within an engagement point, context information associated with the consumer can be matched with contexts of the third party's content.1. An engagement point management system comprising:
an engagement point database storing a plurality of engagement points; and an engagement engine coupled with the engagement point database and configured to:
obtain consumer behavior data;
derive a context from the consumer behavior data;
acquire a set of engagement points from the engagement point database as a function of the context;
instantiate an expected behavior pattern by linking engagement points in the set of engagement points according to a behavior rules set, each linked engagement point assigned a contextual engagement point signature;
configure at least some of the linked engagement points in the expected behavior pattern with at least one user interaction interface; and
configure a content server to present content via at least one user interaction interface upon satisfaction of the contextual engagement point signature of a corresponding linked engagement point. 2. The system of claim 1, wherein the engagement points comprise at least one of following: a user state, a consumer state, an environment state, a device state, a consumer state of mind, and a physical place. 3. The system of claim 1, wherein the behavior pattern comprises at least one of the following classes of engagement points: sports engagement points, gaming engagement points, travel engagement points, continuum of care engagement points, medical service engagement points, patient healthcare engagement points, education engagement points, life stage engagement points, and financial engagement points. 4. The system of claim 1, wherein the behavior pattern comprises shopping engagement points. 5. The system of claim 4, wherein the shopping engagement points comprise: an awareness point, a discovery point, an analysis point, a decision point, an in-store experience point, a selection point, a payment point, a follow up point, and a support point. 6. The system of claim 1, wherein user interact interface comprises an instantiated engagement point engine. 7. The system of claim 6, wherein the instantiated engagement point engine comprises at least one of the following: an awareness engine, a discovery engine, an analysis engine, a decision engine, an in-store experience engine, a selection engine, a payment engine, a follow up engine, and a support engine. 8. The system of claim 1, wherein the engagement engine is further configured to obtain the behavior data from at least one of the following: a mobile device, a vehicle, a kiosk, a computer, a sensor, a biometric hub, a loyalty program service, a healthcare analysis stream management engine, and a game device. 9. The system of claim 1, wherein the behavior data comprises at least one of the following modalities of data: image data, audio data, sensor data, location data, position data, orientation data, time data, text data, and ambient data. 10. The system of claim 1, wherein the context is selected from the group consisting of: a current context, a future context, and a past context. 11. The system of claim 1, wherein the engagement engine is further configured to create a new engagement point. 12. The system of claim 1, wherein the context comprises links to known engagement points. 13. The system of claim 1, wherein the behavior rule set comprises an a priori generated rule set. 14. The system of claim 1, wherein the engagement engine is further configured to construct the behavior rule set in substantially real-time upon receiving the consumer behavior data. 15. The system of claim 1, engagement engine is further configured to construct the behavior rule set as a function of the context. 16. The system of claim 1, wherein the user interaction interface comprises at least one of the following: a direct mail, a letter, a website, an email, a kiosk, a text message via cellular phone, a consumer service, and a mobile device application. 17. The system of claim 1, wherein the user interaction interface is configured to enable a third party marketer to submit the content to the user via the user interaction interface. 18. The system of claim 1, further comprising an engagement point purchasing server configured to accept fees with respect to the engagement points within the behavior pattern. 19. The system of claim 18, wherein the fees include at least one of the following: a per use charge, a bid, an auction result, a subscription, and a flat fee. 20. A method for providing a personalized consumer engagement experience comprising the steps of:
providing access to an engagement point database, wherein the engagement point database is configured to store a plurality engagement points; configuring a computing device to operate as an engagement engine coupled with the engagement point database; obtaining, by the engagement engine, consumer behavior data; deriving, by the engagement engine, a context from the consumer behavior data; acquiring, by the engagement engine, a set of engagement points from the engagement point database as a function of the context; instantiating, by the engagement engine, an expected behavior pattern by linking engagement points in the set of engagement points according to a behavior rules set, each linked engagement point assigned a contextual engagement point signature; configuring, by the engagement engine, at least some of the linked engagement points in the expected behavior pattern with at least one user interaction interface; and configuring, by the engagement engine, a content server to present content via at least one user interaction interface upon satisfaction of the contextual engagement point signature of a corresponding linked engagement point. 21. A computer related product comprising a non-transitory computer readable medium storing instructions that cause a processor to execute the steps of:
maintaining an engagement point database storing a plurality engagement points; configuring a computing device to operate as an engagement engine coupled with the engagement point database; obtaining, by the engagement engine, a consumer behavior data; deriving, by the engagement engine, a context from the consumer behavior data; acquiring, by the engagement engine, a set of engagement points from the engagement point database as a function of the context; instantiating, by the engagement engine, an expected behavior pattern by linking engagement points in the set of engagement points according to a behavior rules set, each linked engagement point assigned a contextual engagement point signature; configuring, by the engagement engine, at least some of the linked engagement points in the expected behavior pattern with at least one user interaction interface; and configuring, by the engagement engine, a content server to present content via at least one user interaction interface upon satisfaction of the contextual engagement point signature of a corresponding linked engagement point. | 3,600 |
13,677 | 13,677 | 15,332,848 | 3,624 | An apparatus and method is described for predicting the expected success rate for an organization, such as a technology startup business, using a prediction engine that configures a plurality of machine learning algorithms using a training dataset and a testing dataset and generates an expected success rate for an organization using an input data set and the configured machine learning algorithms. | 1. A method of calculating an expected success rate for a business entity using a computing device comprising a background analysis engine, a prediction engine, and a display engine, the method comprising:
receiving, by the background analysis engine, a model dataset and a first dataset; acquiring, by the background analysis engine, a second dataset from a plurality of web servers; processing, by the background analysis engine running one or more personality analysis algorithms, the first dataset and the second dataset to generate a third dataset; splitting, by the prediction engine, the model dataset into i groups, each of the i groups comprising a training dataset and a testing dataset, using i splitting algorithms, wherein each of the i splitting algorithms generates one of the i groups; adjusting, by the prediction engine running m machine learning algorithms, a set of models, wherein the adjusting occurs in response to each of the m machine learning algorithms operating on each training dataset in the i groups; testing, by the prediction engine, the set of models using each testing dataset in the i groups and adjusting the second set of models based on the testing; generating, by the prediction engine, i merged datasets, wherein each of the i merged datasets comprises the third dataset merged with a different testing dataset from the i groups; and processing, by the prediction engine, the i merged datasets to generate i*m ranked lists, each of the ranked lists generated from one of the i merged datasets and one of the m machine learning algorithms and indicating the expected success of the business entity and other entities in the one of the i merged datasets. 2. The method of claim 1, further comprising:
applying p thresholds to the i*m ranked lists; 3. The method of claim 2, further comprising:
determining for each of the p thresholds the number of times the business entity appears above the threshold within the i*m ranked lists divided by the number of times the business entity appears in the i*m ranked lists to generate p ratings for the business entity, each of the p ratings associated with one of the p thresholds; and determining, for each entity in the i*m ranked lists, for each of the p thresholds the number of times each entity appears above the threshold within the i*m ranked lists divided by the number of times the entity appears in the i*m ranked lists to generate p ratings for the entity, each of the p ratings associated with one of the p thresholds. 4. The method of claim 3, further comprising:
generating, by the display engine, a report showing, for at least one of the p thresholds, the threshold, the associated rating for the business entity, and the associated rating for one or more of the entities. 5. The method of claim 4, wherein the report displays the business entity and the one or more of the entities in order based on the associated ratings. 6. The method of claim 3, further comprising:
generating, by the display engine, a report showing, for all of the p thresholds, the threshold, the associated rating for the business entity, and the associated rating for one or more of the entities. 7. The method of claim 6, wherein the report displays the business entity and the one or more of the entities in order based on the associated ratings. 8. A computing device comprising a background analysis engine, a prediction engine, and a display engine, the computing device executing instructions to perform the following steps:
receive a model dataset and a first dataset; acquire a second dataset from a plurality of web servers; process, by running one or more personality analysis algorithms, the first dataset and the second dataset to generate a third dataset; split the model dataset into i groups, each of the i groups comprising a training dataset and a testing dataset, using i splitting algorithms, wherein each of the i splitting algorithms generates one of the i groups; adjust, by running m machine learning algorithms, a set of models, wherein the adjusting occurs in response to each of the m machine learning algorithms operating on each training dataset in the i groups; test the set of models using each testing dataset in the i groups and adjusting the second set of models based on the testing; generate i merged datasets, wherein each of the i merged datasets comprises the third dataset merged with a different testing dataset from the i groups; and process the i merged datasets to generate i*m ranked lists, each of the ranked lists generated from one of the i merged datasets and one of the m machine learning algorithms and indicating the expected success of the business entity and other entities in the one of the i merged datasets. 9. The computing device of claim 8, the computing device further executing instructions to perform the following step:
apply p thresholds to the i*m ranked lists. 10. The computing device of claim 9, the computing device further executing instructions to perform the following steps:
determine for each of the p thresholds the number of times the business entity appears above the threshold within the i*m ranked lists divided by the number of times the business entity appears in the i*m ranked lists to generate p ratings for the business entity, each of the p ratings associated with one of the p thresholds; and determine, for each entity in the i*m ranked lists, for each of the p thresholds the number of times each entity appears above the threshold within the i*m ranked lists divided by the number of times the entity appears in the i*m ranked lists to generate p ratings for the entity, each of the p ratings associated with one of the p thresholds. 11. The computing device of claim 10, the computing device further executing instructions to perform the following step:
generate, by the display engine, a report showing, for at least one of the p thresholds, the threshold, the associated rating for the business entity, and the associated rating for one or more of the entities. 12. The computing device of claim 11, wherein the report displays the business entity and the one or more of the entities in order based on the associated ratings. 13. The computing device of claim 10, the computing device further executing instructions to perform the following step:
generate, by the display engine, a report showing, for all of the p thresholds, the threshold, the associated rating for the business entity, and the associated rating for one or more of the entities. 14. The computing device of claim 13, wherein the report displays the business entity and the one or more of the entities in order based on the associated ratings. 15. A computing device comprising a background analysis engine, a prediction engine, and a display engine, the computing device executing instructions to perform the following steps:
receive a model dataset associated with a plurality of entities; receive a first dataset associated with a business entity; acquire, by the background analysis engine, a second dataset associated with the business entity from a plurality of web servers; execute, by the background analysis engine and the prediction engine, personality analysis algorithms, splitting algorithms, and machine learning algorithms using the model dataset, first dataset, and second dataset as inputs to generate an output indicating the expected success of the business entity relative to one or more of the plurality of entities; and display, by the display engine, a report based on the output. | An apparatus and method is described for predicting the expected success rate for an organization, such as a technology startup business, using a prediction engine that configures a plurality of machine learning algorithms using a training dataset and a testing dataset and generates an expected success rate for an organization using an input data set and the configured machine learning algorithms.1. A method of calculating an expected success rate for a business entity using a computing device comprising a background analysis engine, a prediction engine, and a display engine, the method comprising:
receiving, by the background analysis engine, a model dataset and a first dataset; acquiring, by the background analysis engine, a second dataset from a plurality of web servers; processing, by the background analysis engine running one or more personality analysis algorithms, the first dataset and the second dataset to generate a third dataset; splitting, by the prediction engine, the model dataset into i groups, each of the i groups comprising a training dataset and a testing dataset, using i splitting algorithms, wherein each of the i splitting algorithms generates one of the i groups; adjusting, by the prediction engine running m machine learning algorithms, a set of models, wherein the adjusting occurs in response to each of the m machine learning algorithms operating on each training dataset in the i groups; testing, by the prediction engine, the set of models using each testing dataset in the i groups and adjusting the second set of models based on the testing; generating, by the prediction engine, i merged datasets, wherein each of the i merged datasets comprises the third dataset merged with a different testing dataset from the i groups; and processing, by the prediction engine, the i merged datasets to generate i*m ranked lists, each of the ranked lists generated from one of the i merged datasets and one of the m machine learning algorithms and indicating the expected success of the business entity and other entities in the one of the i merged datasets. 2. The method of claim 1, further comprising:
applying p thresholds to the i*m ranked lists; 3. The method of claim 2, further comprising:
determining for each of the p thresholds the number of times the business entity appears above the threshold within the i*m ranked lists divided by the number of times the business entity appears in the i*m ranked lists to generate p ratings for the business entity, each of the p ratings associated with one of the p thresholds; and determining, for each entity in the i*m ranked lists, for each of the p thresholds the number of times each entity appears above the threshold within the i*m ranked lists divided by the number of times the entity appears in the i*m ranked lists to generate p ratings for the entity, each of the p ratings associated with one of the p thresholds. 4. The method of claim 3, further comprising:
generating, by the display engine, a report showing, for at least one of the p thresholds, the threshold, the associated rating for the business entity, and the associated rating for one or more of the entities. 5. The method of claim 4, wherein the report displays the business entity and the one or more of the entities in order based on the associated ratings. 6. The method of claim 3, further comprising:
generating, by the display engine, a report showing, for all of the p thresholds, the threshold, the associated rating for the business entity, and the associated rating for one or more of the entities. 7. The method of claim 6, wherein the report displays the business entity and the one or more of the entities in order based on the associated ratings. 8. A computing device comprising a background analysis engine, a prediction engine, and a display engine, the computing device executing instructions to perform the following steps:
receive a model dataset and a first dataset; acquire a second dataset from a plurality of web servers; process, by running one or more personality analysis algorithms, the first dataset and the second dataset to generate a third dataset; split the model dataset into i groups, each of the i groups comprising a training dataset and a testing dataset, using i splitting algorithms, wherein each of the i splitting algorithms generates one of the i groups; adjust, by running m machine learning algorithms, a set of models, wherein the adjusting occurs in response to each of the m machine learning algorithms operating on each training dataset in the i groups; test the set of models using each testing dataset in the i groups and adjusting the second set of models based on the testing; generate i merged datasets, wherein each of the i merged datasets comprises the third dataset merged with a different testing dataset from the i groups; and process the i merged datasets to generate i*m ranked lists, each of the ranked lists generated from one of the i merged datasets and one of the m machine learning algorithms and indicating the expected success of the business entity and other entities in the one of the i merged datasets. 9. The computing device of claim 8, the computing device further executing instructions to perform the following step:
apply p thresholds to the i*m ranked lists. 10. The computing device of claim 9, the computing device further executing instructions to perform the following steps:
determine for each of the p thresholds the number of times the business entity appears above the threshold within the i*m ranked lists divided by the number of times the business entity appears in the i*m ranked lists to generate p ratings for the business entity, each of the p ratings associated with one of the p thresholds; and determine, for each entity in the i*m ranked lists, for each of the p thresholds the number of times each entity appears above the threshold within the i*m ranked lists divided by the number of times the entity appears in the i*m ranked lists to generate p ratings for the entity, each of the p ratings associated with one of the p thresholds. 11. The computing device of claim 10, the computing device further executing instructions to perform the following step:
generate, by the display engine, a report showing, for at least one of the p thresholds, the threshold, the associated rating for the business entity, and the associated rating for one or more of the entities. 12. The computing device of claim 11, wherein the report displays the business entity and the one or more of the entities in order based on the associated ratings. 13. The computing device of claim 10, the computing device further executing instructions to perform the following step:
generate, by the display engine, a report showing, for all of the p thresholds, the threshold, the associated rating for the business entity, and the associated rating for one or more of the entities. 14. The computing device of claim 13, wherein the report displays the business entity and the one or more of the entities in order based on the associated ratings. 15. A computing device comprising a background analysis engine, a prediction engine, and a display engine, the computing device executing instructions to perform the following steps:
receive a model dataset associated with a plurality of entities; receive a first dataset associated with a business entity; acquire, by the background analysis engine, a second dataset associated with the business entity from a plurality of web servers; execute, by the background analysis engine and the prediction engine, personality analysis algorithms, splitting algorithms, and machine learning algorithms using the model dataset, first dataset, and second dataset as inputs to generate an output indicating the expected success of the business entity relative to one or more of the plurality of entities; and display, by the display engine, a report based on the output. | 3,600 |
13,678 | 13,678 | 14,675,053 | 3,623 | As disclosed herein, an in-store feedback system permits shoppers to provide positive or negative feedback for a particular item using gestures or spoken language. To do so, the feedback system includes a gaze tracking module that identifies what product a shopper is currently focusing on. For example, a rack, which may contain multiple rows of shelves, is divided into a grid that includes a plurality of cells. By determining what cell the shopper is currently staring at, the gaze tracking system can identify a particular item by knowing which items are placed in which cell. The in-store feedback system may also include a gesture recognition system that identifies and decodes a gesture made by the shopper. For example, a thumbs up is positive feedback but a thumbs down is negative feedback. By recognizing the gesture, the gesture recognition system assigns positive or negative feedback to the item. | 1. A method, comprising:
determining, by tracking a gaze of a person viewing an item presentation area in a physical store, a cell being viewed by the person using one or more computer processors, wherein the cell is one of a plurality of cells dividing up the item presentation area; identifying a predefined feedback performed by the person when viewing the cell; and assigning a feedback value corresponding to the feedback gesture to one or more items for sale located in the cell. 2. The method of claim 1, wherein the item presentation area comprises a rack containing a plurality of shelves, wherein each of the plurality of shelves is contained in a different one of the plurality of cells. 3. The method of claim 1, further comprising:
receiving audio feedback from the person when viewing the cell; and assigning a different feedback value corresponding to the audio feedback to the items for sale. 4. The method of claim 1, wherein identifying the feedback gesture comprises evaluating image data captured using one or more sensors, wherein the image data includes at least a portion of the person, and wherein the feedback gesture is performed using at least one hand of the person. 5. The method of claim 1, wherein the feedback value represents an opinion of the person regarding the items for sale, the method further comprising:
storing the feedback value in a database comprising respective feedback values for the items for sale provided by a plurality of different persons when in the physical store. 6. The method of claim 5, further comprising:
determining, by tracking a gaze of a second person viewing the item presentation area, that the second person is viewing the cell; identifying a second predefined gesture performed by the second person when viewing the cell, wherein the second predefined gesture represents a request by the second person for the feedback value stored in the database; and retrieving the feedback value from the database. 7. The method of claim 5, wherein the database is available to cross channel media such that the feedback is accessible using a computing device located outside the physical store. 8. The method of claim 5, wherein the database stores feedback from a plurality of different sources, where at least one of the sources is the first person and an online shopper,
wherein the feedback from the different sources is categorized and is made available to cross channel media. 9. A computer-readable storage medium storing computer-readable program code which, when executed on a processor, performs an operation, the operation comprising:
determining, by tracking a gaze of a person viewing an item presentation area in a physical store, a cell being viewed by the person, wherein the cell is one of a plurality of cells dividing up the item presentation area; identifying a predefined feedback gesture performed by the person when viewing the cell; and assigning a feedback value corresponding to the feedback gesture to one or more items for sale located in the cell. 10. The computer program product of claim 9, wherein the item presentation area comprises a rack containing a plurality of shelves, wherein each of the plurality of shelves is contained in a different one of the plurality of cells. 11. The computer program product of claim 9, the operation further comprising:
receiving audio feedback from the person when viewing the cell; and assigning a different feedback value corresponding to the audio feedback to the items for sale. 12. The computer program product of claim 9, wherein identifying the feedback gesture comprises evaluating image data captured using one or more sensors, wherein the image data includes at least a portion of the person, and wherein the feedback gesture is performed using at least one hand of the person. 13. The computer program product of claim 9, wherein the feedback value represents an opinion of the person regarding the items for sale, the method further comprising:
storing the feedback value in a database comprising respective feedback values for the items for sale provided by a plurality of different persons when in the physical store. 14. The computer program product of claim 13, the operation further comprising:
determining, by tracking a gaze of a second person viewing the item presentation area, that the second person is viewing the cell; identifying a second predefined gesture performed by the second person when viewing the cell, wherein the second predefined gesture represents a request by the second person for the feedback value stored in the database; and retrieving the feedback value from the database. 15. A system, comprising:
an image sensor configured to output image data capturing a person viewing an item presentation area; a gaze tracking module configured to determine, by tracking a gaze of the person viewing the item presentation area in a physical store using the image data, a cell being viewed by the person, wherein the cell is one of a plurality of cells dividing up the item presentation area; and a gesture recognition module configured to:
identify a predefined feedback gesture performed by the person when viewing the cell, and
assign a feedback value correspond to the feedback gesture to one or more items for sale located in the cell. 16. The system of claim 15, wherein the item presentation area comprises a rack containing a plurality of shelves, and wherein the sensor is mounted onto the rack. 17. The system of claim 15, further comprising:
a database configured to store respective feedback values for the items for sale provided by a plurality of different persons when in the physical store, wherein the respective feedback values represent opinions of the plurality of different persons regarding the items for sale. 18. The system of claim 17, wherein the gaze tracking module is configured to determine, by tracking a gaze of a second person viewing the item presentation area, that the second person is viewing the cell, wherein the gesture recognition module is configured to:
identify a second predefined gesture performed by the second person when viewing the cell, wherein the second predefined gesture represents a request by the second person for the feedback value stored in the database; and retrieve the feedback value from the database. 19. The system of 18, further comprising:
an output device configured to output the feedback value to the second person using at least one of audio or visual devices. 20. The system of 15, further comprising:
a gesture sensor configured to output image data including at least one hand of the person, wherein the image data outputted by the gesture sensor provides a different vantage point of the person than the image data outputted by the image sensor. | As disclosed herein, an in-store feedback system permits shoppers to provide positive or negative feedback for a particular item using gestures or spoken language. To do so, the feedback system includes a gaze tracking module that identifies what product a shopper is currently focusing on. For example, a rack, which may contain multiple rows of shelves, is divided into a grid that includes a plurality of cells. By determining what cell the shopper is currently staring at, the gaze tracking system can identify a particular item by knowing which items are placed in which cell. The in-store feedback system may also include a gesture recognition system that identifies and decodes a gesture made by the shopper. For example, a thumbs up is positive feedback but a thumbs down is negative feedback. By recognizing the gesture, the gesture recognition system assigns positive or negative feedback to the item.1. A method, comprising:
determining, by tracking a gaze of a person viewing an item presentation area in a physical store, a cell being viewed by the person using one or more computer processors, wherein the cell is one of a plurality of cells dividing up the item presentation area; identifying a predefined feedback performed by the person when viewing the cell; and assigning a feedback value corresponding to the feedback gesture to one or more items for sale located in the cell. 2. The method of claim 1, wherein the item presentation area comprises a rack containing a plurality of shelves, wherein each of the plurality of shelves is contained in a different one of the plurality of cells. 3. The method of claim 1, further comprising:
receiving audio feedback from the person when viewing the cell; and assigning a different feedback value corresponding to the audio feedback to the items for sale. 4. The method of claim 1, wherein identifying the feedback gesture comprises evaluating image data captured using one or more sensors, wherein the image data includes at least a portion of the person, and wherein the feedback gesture is performed using at least one hand of the person. 5. The method of claim 1, wherein the feedback value represents an opinion of the person regarding the items for sale, the method further comprising:
storing the feedback value in a database comprising respective feedback values for the items for sale provided by a plurality of different persons when in the physical store. 6. The method of claim 5, further comprising:
determining, by tracking a gaze of a second person viewing the item presentation area, that the second person is viewing the cell; identifying a second predefined gesture performed by the second person when viewing the cell, wherein the second predefined gesture represents a request by the second person for the feedback value stored in the database; and retrieving the feedback value from the database. 7. The method of claim 5, wherein the database is available to cross channel media such that the feedback is accessible using a computing device located outside the physical store. 8. The method of claim 5, wherein the database stores feedback from a plurality of different sources, where at least one of the sources is the first person and an online shopper,
wherein the feedback from the different sources is categorized and is made available to cross channel media. 9. A computer-readable storage medium storing computer-readable program code which, when executed on a processor, performs an operation, the operation comprising:
determining, by tracking a gaze of a person viewing an item presentation area in a physical store, a cell being viewed by the person, wherein the cell is one of a plurality of cells dividing up the item presentation area; identifying a predefined feedback gesture performed by the person when viewing the cell; and assigning a feedback value corresponding to the feedback gesture to one or more items for sale located in the cell. 10. The computer program product of claim 9, wherein the item presentation area comprises a rack containing a plurality of shelves, wherein each of the plurality of shelves is contained in a different one of the plurality of cells. 11. The computer program product of claim 9, the operation further comprising:
receiving audio feedback from the person when viewing the cell; and assigning a different feedback value corresponding to the audio feedback to the items for sale. 12. The computer program product of claim 9, wherein identifying the feedback gesture comprises evaluating image data captured using one or more sensors, wherein the image data includes at least a portion of the person, and wherein the feedback gesture is performed using at least one hand of the person. 13. The computer program product of claim 9, wherein the feedback value represents an opinion of the person regarding the items for sale, the method further comprising:
storing the feedback value in a database comprising respective feedback values for the items for sale provided by a plurality of different persons when in the physical store. 14. The computer program product of claim 13, the operation further comprising:
determining, by tracking a gaze of a second person viewing the item presentation area, that the second person is viewing the cell; identifying a second predefined gesture performed by the second person when viewing the cell, wherein the second predefined gesture represents a request by the second person for the feedback value stored in the database; and retrieving the feedback value from the database. 15. A system, comprising:
an image sensor configured to output image data capturing a person viewing an item presentation area; a gaze tracking module configured to determine, by tracking a gaze of the person viewing the item presentation area in a physical store using the image data, a cell being viewed by the person, wherein the cell is one of a plurality of cells dividing up the item presentation area; and a gesture recognition module configured to:
identify a predefined feedback gesture performed by the person when viewing the cell, and
assign a feedback value correspond to the feedback gesture to one or more items for sale located in the cell. 16. The system of claim 15, wherein the item presentation area comprises a rack containing a plurality of shelves, and wherein the sensor is mounted onto the rack. 17. The system of claim 15, further comprising:
a database configured to store respective feedback values for the items for sale provided by a plurality of different persons when in the physical store, wherein the respective feedback values represent opinions of the plurality of different persons regarding the items for sale. 18. The system of claim 17, wherein the gaze tracking module is configured to determine, by tracking a gaze of a second person viewing the item presentation area, that the second person is viewing the cell, wherein the gesture recognition module is configured to:
identify a second predefined gesture performed by the second person when viewing the cell, wherein the second predefined gesture represents a request by the second person for the feedback value stored in the database; and retrieve the feedback value from the database. 19. The system of 18, further comprising:
an output device configured to output the feedback value to the second person using at least one of audio or visual devices. 20. The system of 15, further comprising:
a gesture sensor configured to output image data including at least one hand of the person, wherein the image data outputted by the gesture sensor provides a different vantage point of the person than the image data outputted by the image sensor. | 3,600 |
13,679 | 13,679 | 14,729,170 | 3,623 | A system and methods are provided for identifying conversations in tweet streams. A method includes grouping tweet messages in the tweet streams into tweet groups, responsive to hashtags therefor and time intervals in which the tweet message were sent. The method further includes splitting the tweet groups into subgroups responsive to secondary hashtags and a time separation between the tweets messages. The method also includes clustering any of the subgroups into a respective same conversation responsive to word occurrences, word frequencies, and account holders. The method additionally includes merging any of the subgroups having different hashtags into the respective same conversation responsive to overlapping glossary and account lists. Each of the tweet groups and each of the subgroups correspond to a respective different one of the conversations when unable to be split, clustered, or merged. | 1-3. (canceled) 4. A computer program product for identifying conversations in tweet streams, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computer to cause the computer to perform a method comprising:
grouping tweet messages in the tweet streams into tweet groups, responsive to hashtags therefor and time intervals in which the tweet message were sent; splitting the tweet groups into subgroups responsive to secondary hashtags and a time separation between the tweets messages; clustering any of the subgroups into a respective same conversation responsive to word occurrences, word frequencies, and account holders; and merging any of the subgroups having different hashtags into the respective same conversation responsive to overlapping glossary and account lists, wherein each of the tweet groups and each of the subgroups correspond to a respective different one of the conversations when unable to be split, clustered, or merged. 5-17. (canceled) 18. A computer program product for predicting the business impact of input tweet conversations, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computer to cause the computer to perform a method comprising:
creating training data that includes pre-selected tweet conversations, pre-selected hashtags from the pre-selected tweet conversations, and labels, each of the labels specifying a respective predicted business impact level for a respective one of the pre-selected tweet conversations and a respective one of the pre-selected hashtags included therein; computing, by a processor, feature vectors for features extracted from the input tweet conversations; and forming a prediction model, trained by the training data, for predicting a respective business impact level for each of the input tweet conversations, by mapping respective predicted business impact levels to one or more feature vectors of each of the input tweet conversations. 19. A system for predicting the business impact of input tweet conversations, comprising:
a database for storing training data that includes pre-selected tweet conversations, pre-selected hashtags from the pre-selected tweet conversations, and labels, each of the labels specifying a respective predicted business impact level for a respective one of the pre-selected tweet conversations and a respective one of the pre-selected hashtags included therein; a feature vector computer, having a processor, for computing feature vectors for features extracted from the input tweet conversations; and an impact predictor, having a prediction model trained by the training data, for predicting a respective business impact level for each of the input tweet conversations, by mapping respective predicted business impact levels to one or more feature vectors of each of the input tweet conversations. 20. The system of claim 19, wherein the business impact level is predicted using a binary specifier, the binary specified being selected from a value of high and a value of low. | A system and methods are provided for identifying conversations in tweet streams. A method includes grouping tweet messages in the tweet streams into tweet groups, responsive to hashtags therefor and time intervals in which the tweet message were sent. The method further includes splitting the tweet groups into subgroups responsive to secondary hashtags and a time separation between the tweets messages. The method also includes clustering any of the subgroups into a respective same conversation responsive to word occurrences, word frequencies, and account holders. The method additionally includes merging any of the subgroups having different hashtags into the respective same conversation responsive to overlapping glossary and account lists. Each of the tweet groups and each of the subgroups correspond to a respective different one of the conversations when unable to be split, clustered, or merged.1-3. (canceled) 4. A computer program product for identifying conversations in tweet streams, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computer to cause the computer to perform a method comprising:
grouping tweet messages in the tweet streams into tweet groups, responsive to hashtags therefor and time intervals in which the tweet message were sent; splitting the tweet groups into subgroups responsive to secondary hashtags and a time separation between the tweets messages; clustering any of the subgroups into a respective same conversation responsive to word occurrences, word frequencies, and account holders; and merging any of the subgroups having different hashtags into the respective same conversation responsive to overlapping glossary and account lists, wherein each of the tweet groups and each of the subgroups correspond to a respective different one of the conversations when unable to be split, clustered, or merged. 5-17. (canceled) 18. A computer program product for predicting the business impact of input tweet conversations, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computer to cause the computer to perform a method comprising:
creating training data that includes pre-selected tweet conversations, pre-selected hashtags from the pre-selected tweet conversations, and labels, each of the labels specifying a respective predicted business impact level for a respective one of the pre-selected tweet conversations and a respective one of the pre-selected hashtags included therein; computing, by a processor, feature vectors for features extracted from the input tweet conversations; and forming a prediction model, trained by the training data, for predicting a respective business impact level for each of the input tweet conversations, by mapping respective predicted business impact levels to one or more feature vectors of each of the input tweet conversations. 19. A system for predicting the business impact of input tweet conversations, comprising:
a database for storing training data that includes pre-selected tweet conversations, pre-selected hashtags from the pre-selected tweet conversations, and labels, each of the labels specifying a respective predicted business impact level for a respective one of the pre-selected tweet conversations and a respective one of the pre-selected hashtags included therein; a feature vector computer, having a processor, for computing feature vectors for features extracted from the input tweet conversations; and an impact predictor, having a prediction model trained by the training data, for predicting a respective business impact level for each of the input tweet conversations, by mapping respective predicted business impact levels to one or more feature vectors of each of the input tweet conversations. 20. The system of claim 19, wherein the business impact level is predicted using a binary specifier, the binary specified being selected from a value of high and a value of low. | 3,600 |
13,680 | 13,680 | 13,103,957 | 3,697 | Mobile payments and processing data related to electronic transactions. A near field communication connection is established between a mobile communication device of a consumer that serves as a mobile wallet and an electronic payment device of a merchant. Authorization data is shared between the mobile communication device and the electronic payment device without providing electronic payment instrument (e.g. credit card) data to the merchant. Authorization data is transmitted from the mobile communication device to a cloud computer or resource that serves as a cloud wallet and hosts respective data of respective electronic payment instruments of respective consumers, and from the electronic payment device a payment processor computer. The payment processor computer presents the authorization data to the cloud wallet, and in response, the cloud wallet transmits the credit card data to the payment processor computer, which processes the transaction. | 1. A computer-implemented method for processing data related to an electronic transaction involving a consumer and a merchant, the method comprising:
establishing a near field communication connection between an electronic payment device of the merchant and a mobile communication of the consumer when the electronic payment device and the mobile communication device are in contact with or located in proximity to each other; receiving authorization data that is shared between the mobile communication device and the electronic payment device utilizing the near field communication connection, wherein data of an electronic payment instrument utilized by the consumer is not transmitted to the merchant; and transmitting the authorization data from the mobile communication device through a first network to a first computer hosting respective data of respective electronic payment instruments of respective consumers, and from the electronic payment device through a second network to a second computer of an electronic payment processor, wherein the authorization data is presented by the second computer to the first computer to request electronic payment data of the consumer associated with the authorization data. 2. The method of claim 1, the electronic payment device comprising a mobile communication device including a mobile payment application executing thereon, the respective mobile communication devices of the consumer and the merchant being utilized to establish the near field communication connection and generate or receive the authorization data. 3. The method of claim 2, the mobile communication device of the merchant comprising a Smartphone. 4. The method of claim 2, the respective mobile communication devices of the consumer and the merchant being located within a store or office of the merchant when the near field communication connection is established. 5. The method of claim 2, the respective mobile communication devices of the consumer and the merchant being at a location that is remote relative to a store or office of the merchant when the near field connection is established. 6. The method of claim 1, the electronic payment instrument data being received at the second computer in response to presenting the authorization data to the first computer, the second computer hosting or accessing a merchant account on behalf of the merchant to process the electronic transaction using the received electronic payment instrument data. 7. The method of claim 1, the electronic payment device and the mobile communication device being connected to each other in a peer to peer configuration. 8. The method of claim 7, the authorization data being generated by the electronic payment device of the merchant and transmitted from the electronic payment device to the mobile communication device and from the electronic payment device to the second computer. 9. The method of claim 7, the authorization data being generated by the mobile communication device and transmitted from the mobile communication device to the electronic payment device and from the mobile communication device to the first computer. 10. The method of claim 1, the authorization data being generated by the first computer and received at the mobile communication device from the first computer, and transmitted from the mobile communication device to the electronic payment device. 11. The method of claim 1, the authorization data comprising a random number. 12. The method of claim 1, the authorization data being dynamic such that first authorization data generated for a first purchase by the consumer is different than second authorization data generated for a second purchase by the consumer. 13. The method of claim 1, the authorization data comprising an authorization token. 14. The method of claim 13, the authorization token being usable for a single electronic transaction. 15. The method of claim 13, the authorization token being valid to request electronic payment instrument data for a pre-determined limited time. 16. The method of claim 1, the same authorization data shared between the mobile communication device and the electronic payment device being transmitted from the electronic payment device to the second computer, from the mobile communication device to the first computer, and from the second computer to the first computer when requesting electronic payment instrument data. 17. The method of claim 1, the mobile communication device of the consumer comprising a mobile wallet, and the first computer comprising a cloud computing resource accessible by a plurality of consumers and payment processors. 18. The method of claim 17, the electronic payment device of the merchant comprising a mobile payment application, wherein the transaction is completed based at least in part upon interaction between the mobile wallet and the mobile payment application. 19. The method of claim 1, receiving from the electronic payment device at the mobile communication device through the near field communication connection, an incentive, offer or advertisement related to a form or type of electronic payment instrument available to be selected by the consumer using the mobile communication device. 20. The method of claim 19, the incentive, offer or advertisement comprising a coupon or discount if the consumer utilizes an electronic payment instrument a pre-determined issuer bank. 21. The method of claim 1, the electronic payment instrument comprising a credit card. 22. A computer-implemented method for processing data related to an electronic transaction involving a consumer and a merchant, the method comprising:
establishing a near field communication connection between an electronic payment device of the merchant and a mobile communication of the consumer when the electronic payment device and the mobile communication device are in contact with or located in proximity to each other; generating authorization data embodying data of a transaction involving the consumer and the merchant, wherein data of an electronic payment instrument utilized by the consumer is not transmitted to the electronic payment device; and transmitting the authorization data from the mobile communication device through a first network to a first computer hosting respective data of respective electronic payment instruments respective consumers, and from the electronic payment device through a second network to a second computer of an electronic payment processor, wherein the authorization data is presented by the second computer to the first computer to request electronic payment data of the consumer associated with the authorization data. 23. The method of claim 22, the authorization data being encoded with the transaction data. 24. The method of claim 23, the authorization data being encoded with transaction data comprising at least one of a merchant identification, a transaction identification, a transaction amount, and accepted electronic payment instruments. 25. The method of claim 23, wherein the authorization data is decoded by the first computer to determine electronic payment instrument data corresponding to the authorization data, the determined electronic payment instrument data being transmitted from the first computer to the second computer. 26. The method of claim 22, the transaction data comprising at least one of a merchant identification, a transaction identification, a transaction amount, and accepted electronic payment instruments. 27. The method of claim 22, the electronic payment device comprising a mobile communication device including a mobile payment application executing thereon, the respective mobile communication devices of the consumer and the merchant being utilized to establish the near field communication connection. 28. The method of claim 27, the mobile communication device of the merchant comprising a Smartphone. 29. The method of claim 27, the respective mobile communication devices of the consumer and the merchant being at a location that is remote relative to a store or office of the merchant when the near field connection is established. 30. The method of claim 22, the electronic payment instrument data being received at the second computer in response to presenting the authorization data to the first computer, the second computer hosting or accessing a merchant account on behalf of the merchant to process the electronic transaction using the received electronic payment instrument data. 31. The method of claim 22, the electronic payment device and the mobile communication device being connected to each other in a peer to peer configuration. 32. The method of claim 31, the authorization data being generated by the electronic payment device of the merchant and transmitted from the electronic payment device to the mobile communication device and from the electronic payment device to the second computer. 33. The method of claim 31, the transaction data being received by the mobile communication device, the authorization data being generated by the mobile communication device and transmitted from the mobile communication device to the electronic payment device and from the mobile communication device to the first computer. 34. The method of claim 22, the transaction data being received by the first computer through the mobile communication device from the electronic payment device, the authorization data being generated by the first computer, transmitted from the first computer and received at the mobile communication device, and transmitted from the mobile communication device to the electronic payment device, and from the electronic payment device to the second computer. 35. The method of claim 22, the authorization data being dynamic such that first authorization data generated for a first purchase by the consumer is different than second authorization data generated for a second purchase by the consumer. 36. The method of claim 22, the authorization data comprising an authorization token. 37. The method of claim 36, the authorization token being usable for a single electronic transaction. 38. The method of claim 36, the authorization token being valid to request electronic payment instrument data for a limited time. 39. The method of claim 22, the mobile communication device of the consumer comprising a mobile wallet, and the first computer comprising a cloud computing resource accessible by a plurality of consumers and payment processors. 40. The method of claim 22, the electronic payment device of the merchant comprising a mobile payment application, wherein the transaction is completed based at least in part upon interaction between the mobile wallet and the mobile payment application. 41. The method of claim 22, receiving from the electronic payment device at the mobile communication device through the near field communication connection, an incentive or advertisement related to an electronic payment instrument available to be selected by the consumer using the mobile communication device. 42. The method of claim 41, the incentive or advertisement comprising a coupon or discount if the consumer utilizes a credit card of a pre-determined issuer bank. 43. The method of claim 22, the electronic payment instrument utilized by the consumer comprising a credit card. 44. A computer-implemented method for processing data related to an electronic transaction involving a consumer and a merchant, the method comprising:
establishing a near field communication connection between an electronic payment device of the merchant and a mobile communication of the consumer when the electronic payment device and the mobile communication device are in contact with or located in proximity to each other; generating authorization data, the authorization data being shared between the mobile communication device and the electronic payment device utilizing the near field communication connection, wherein data of an electronic payment instrument utilized by the consumer is not transmitted to the merchant; and transmitting the authorization data from the mobile communication device through a first network to a first computer hosting respective data of respective electronic payment instruments of respective consumers; storing the authorization data in a database of or accessed by the first computer to associate the authorization data and electronic payment instrument data of the consumer; transmitting the authorization data from the electronic payment device through a second network to a second computer of an electronic payment processor; transmitting the authorization data from the second computer through a third network to the first computer to request electronic payment data of the consumer; searching the database to determine electronic payment data corresponding to the authorization data received at the first computer from the second computer; transmitting the determined electronic payment data from the first computer to the second computer; completing the transaction utilizing the second computer. 45. A computer-implemented method for processing data related to an electronic transaction involving a consumer and a merchant, the method comprising:
establishing a near field communication connection between an electronic payment device of the merchant and a mobile communication of the consumer when the electronic payment device and the mobile communication device are in contact with or located in proximity to each other; generating authorization data, the authorization data being encoded with data of a transaction involving the consumer and the merchant, the authorization data being shared between the mobile communication device and the electronic payment device utilizing the near field communication connection, wherein data of an electronic payment instrument utilized by the consumer is not transmitted to the merchant; and transmitting the authorization data from the mobile communication device through a first network to a first computer hosting respective data of respective electronic payment instruments of respective consumers; decoding the authorization data at the first computer; storing the authorization data and associated transaction data in a database of or accessed by the first computer to associate the authorization data, the transaction data and the electronic payment instrument data of the consumer; transmitting the authorization data from the electronic payment device through a second network to a second computer of an electronic payment processor; transmitting the authorization data and transaction data from the second computer through a third network to the first computer to request electronic payment data of the consumer; decoding the authorization data at the first computer; searching the database to determine electronic payment data and transaction data corresponding to the authorization data received at the first computer from the second computer; comparing the transaction data stored in the database and the transaction data received from the second computer; if the transaction data received from the second computer matches the transaction data stored in the database, transmitting the determined electronic payment data from the first computer to the second computer; and completing the transaction utilizing the second computer. 46-63. (canceled) | Mobile payments and processing data related to electronic transactions. A near field communication connection is established between a mobile communication device of a consumer that serves as a mobile wallet and an electronic payment device of a merchant. Authorization data is shared between the mobile communication device and the electronic payment device without providing electronic payment instrument (e.g. credit card) data to the merchant. Authorization data is transmitted from the mobile communication device to a cloud computer or resource that serves as a cloud wallet and hosts respective data of respective electronic payment instruments of respective consumers, and from the electronic payment device a payment processor computer. The payment processor computer presents the authorization data to the cloud wallet, and in response, the cloud wallet transmits the credit card data to the payment processor computer, which processes the transaction.1. A computer-implemented method for processing data related to an electronic transaction involving a consumer and a merchant, the method comprising:
establishing a near field communication connection between an electronic payment device of the merchant and a mobile communication of the consumer when the electronic payment device and the mobile communication device are in contact with or located in proximity to each other; receiving authorization data that is shared between the mobile communication device and the electronic payment device utilizing the near field communication connection, wherein data of an electronic payment instrument utilized by the consumer is not transmitted to the merchant; and transmitting the authorization data from the mobile communication device through a first network to a first computer hosting respective data of respective electronic payment instruments of respective consumers, and from the electronic payment device through a second network to a second computer of an electronic payment processor, wherein the authorization data is presented by the second computer to the first computer to request electronic payment data of the consumer associated with the authorization data. 2. The method of claim 1, the electronic payment device comprising a mobile communication device including a mobile payment application executing thereon, the respective mobile communication devices of the consumer and the merchant being utilized to establish the near field communication connection and generate or receive the authorization data. 3. The method of claim 2, the mobile communication device of the merchant comprising a Smartphone. 4. The method of claim 2, the respective mobile communication devices of the consumer and the merchant being located within a store or office of the merchant when the near field communication connection is established. 5. The method of claim 2, the respective mobile communication devices of the consumer and the merchant being at a location that is remote relative to a store or office of the merchant when the near field connection is established. 6. The method of claim 1, the electronic payment instrument data being received at the second computer in response to presenting the authorization data to the first computer, the second computer hosting or accessing a merchant account on behalf of the merchant to process the electronic transaction using the received electronic payment instrument data. 7. The method of claim 1, the electronic payment device and the mobile communication device being connected to each other in a peer to peer configuration. 8. The method of claim 7, the authorization data being generated by the electronic payment device of the merchant and transmitted from the electronic payment device to the mobile communication device and from the electronic payment device to the second computer. 9. The method of claim 7, the authorization data being generated by the mobile communication device and transmitted from the mobile communication device to the electronic payment device and from the mobile communication device to the first computer. 10. The method of claim 1, the authorization data being generated by the first computer and received at the mobile communication device from the first computer, and transmitted from the mobile communication device to the electronic payment device. 11. The method of claim 1, the authorization data comprising a random number. 12. The method of claim 1, the authorization data being dynamic such that first authorization data generated for a first purchase by the consumer is different than second authorization data generated for a second purchase by the consumer. 13. The method of claim 1, the authorization data comprising an authorization token. 14. The method of claim 13, the authorization token being usable for a single electronic transaction. 15. The method of claim 13, the authorization token being valid to request electronic payment instrument data for a pre-determined limited time. 16. The method of claim 1, the same authorization data shared between the mobile communication device and the electronic payment device being transmitted from the electronic payment device to the second computer, from the mobile communication device to the first computer, and from the second computer to the first computer when requesting electronic payment instrument data. 17. The method of claim 1, the mobile communication device of the consumer comprising a mobile wallet, and the first computer comprising a cloud computing resource accessible by a plurality of consumers and payment processors. 18. The method of claim 17, the electronic payment device of the merchant comprising a mobile payment application, wherein the transaction is completed based at least in part upon interaction between the mobile wallet and the mobile payment application. 19. The method of claim 1, receiving from the electronic payment device at the mobile communication device through the near field communication connection, an incentive, offer or advertisement related to a form or type of electronic payment instrument available to be selected by the consumer using the mobile communication device. 20. The method of claim 19, the incentive, offer or advertisement comprising a coupon or discount if the consumer utilizes an electronic payment instrument a pre-determined issuer bank. 21. The method of claim 1, the electronic payment instrument comprising a credit card. 22. A computer-implemented method for processing data related to an electronic transaction involving a consumer and a merchant, the method comprising:
establishing a near field communication connection between an electronic payment device of the merchant and a mobile communication of the consumer when the electronic payment device and the mobile communication device are in contact with or located in proximity to each other; generating authorization data embodying data of a transaction involving the consumer and the merchant, wherein data of an electronic payment instrument utilized by the consumer is not transmitted to the electronic payment device; and transmitting the authorization data from the mobile communication device through a first network to a first computer hosting respective data of respective electronic payment instruments respective consumers, and from the electronic payment device through a second network to a second computer of an electronic payment processor, wherein the authorization data is presented by the second computer to the first computer to request electronic payment data of the consumer associated with the authorization data. 23. The method of claim 22, the authorization data being encoded with the transaction data. 24. The method of claim 23, the authorization data being encoded with transaction data comprising at least one of a merchant identification, a transaction identification, a transaction amount, and accepted electronic payment instruments. 25. The method of claim 23, wherein the authorization data is decoded by the first computer to determine electronic payment instrument data corresponding to the authorization data, the determined electronic payment instrument data being transmitted from the first computer to the second computer. 26. The method of claim 22, the transaction data comprising at least one of a merchant identification, a transaction identification, a transaction amount, and accepted electronic payment instruments. 27. The method of claim 22, the electronic payment device comprising a mobile communication device including a mobile payment application executing thereon, the respective mobile communication devices of the consumer and the merchant being utilized to establish the near field communication connection. 28. The method of claim 27, the mobile communication device of the merchant comprising a Smartphone. 29. The method of claim 27, the respective mobile communication devices of the consumer and the merchant being at a location that is remote relative to a store or office of the merchant when the near field connection is established. 30. The method of claim 22, the electronic payment instrument data being received at the second computer in response to presenting the authorization data to the first computer, the second computer hosting or accessing a merchant account on behalf of the merchant to process the electronic transaction using the received electronic payment instrument data. 31. The method of claim 22, the electronic payment device and the mobile communication device being connected to each other in a peer to peer configuration. 32. The method of claim 31, the authorization data being generated by the electronic payment device of the merchant and transmitted from the electronic payment device to the mobile communication device and from the electronic payment device to the second computer. 33. The method of claim 31, the transaction data being received by the mobile communication device, the authorization data being generated by the mobile communication device and transmitted from the mobile communication device to the electronic payment device and from the mobile communication device to the first computer. 34. The method of claim 22, the transaction data being received by the first computer through the mobile communication device from the electronic payment device, the authorization data being generated by the first computer, transmitted from the first computer and received at the mobile communication device, and transmitted from the mobile communication device to the electronic payment device, and from the electronic payment device to the second computer. 35. The method of claim 22, the authorization data being dynamic such that first authorization data generated for a first purchase by the consumer is different than second authorization data generated for a second purchase by the consumer. 36. The method of claim 22, the authorization data comprising an authorization token. 37. The method of claim 36, the authorization token being usable for a single electronic transaction. 38. The method of claim 36, the authorization token being valid to request electronic payment instrument data for a limited time. 39. The method of claim 22, the mobile communication device of the consumer comprising a mobile wallet, and the first computer comprising a cloud computing resource accessible by a plurality of consumers and payment processors. 40. The method of claim 22, the electronic payment device of the merchant comprising a mobile payment application, wherein the transaction is completed based at least in part upon interaction between the mobile wallet and the mobile payment application. 41. The method of claim 22, receiving from the electronic payment device at the mobile communication device through the near field communication connection, an incentive or advertisement related to an electronic payment instrument available to be selected by the consumer using the mobile communication device. 42. The method of claim 41, the incentive or advertisement comprising a coupon or discount if the consumer utilizes a credit card of a pre-determined issuer bank. 43. The method of claim 22, the electronic payment instrument utilized by the consumer comprising a credit card. 44. A computer-implemented method for processing data related to an electronic transaction involving a consumer and a merchant, the method comprising:
establishing a near field communication connection between an electronic payment device of the merchant and a mobile communication of the consumer when the electronic payment device and the mobile communication device are in contact with or located in proximity to each other; generating authorization data, the authorization data being shared between the mobile communication device and the electronic payment device utilizing the near field communication connection, wherein data of an electronic payment instrument utilized by the consumer is not transmitted to the merchant; and transmitting the authorization data from the mobile communication device through a first network to a first computer hosting respective data of respective electronic payment instruments of respective consumers; storing the authorization data in a database of or accessed by the first computer to associate the authorization data and electronic payment instrument data of the consumer; transmitting the authorization data from the electronic payment device through a second network to a second computer of an electronic payment processor; transmitting the authorization data from the second computer through a third network to the first computer to request electronic payment data of the consumer; searching the database to determine electronic payment data corresponding to the authorization data received at the first computer from the second computer; transmitting the determined electronic payment data from the first computer to the second computer; completing the transaction utilizing the second computer. 45. A computer-implemented method for processing data related to an electronic transaction involving a consumer and a merchant, the method comprising:
establishing a near field communication connection between an electronic payment device of the merchant and a mobile communication of the consumer when the electronic payment device and the mobile communication device are in contact with or located in proximity to each other; generating authorization data, the authorization data being encoded with data of a transaction involving the consumer and the merchant, the authorization data being shared between the mobile communication device and the electronic payment device utilizing the near field communication connection, wherein data of an electronic payment instrument utilized by the consumer is not transmitted to the merchant; and transmitting the authorization data from the mobile communication device through a first network to a first computer hosting respective data of respective electronic payment instruments of respective consumers; decoding the authorization data at the first computer; storing the authorization data and associated transaction data in a database of or accessed by the first computer to associate the authorization data, the transaction data and the electronic payment instrument data of the consumer; transmitting the authorization data from the electronic payment device through a second network to a second computer of an electronic payment processor; transmitting the authorization data and transaction data from the second computer through a third network to the first computer to request electronic payment data of the consumer; decoding the authorization data at the first computer; searching the database to determine electronic payment data and transaction data corresponding to the authorization data received at the first computer from the second computer; comparing the transaction data stored in the database and the transaction data received from the second computer; if the transaction data received from the second computer matches the transaction data stored in the database, transmitting the determined electronic payment data from the first computer to the second computer; and completing the transaction utilizing the second computer. 46-63. (canceled) | 3,600 |
13,681 | 13,681 | 15,311,208 | 3,645 | The invention relates to a seismic streamer ( 1 ) for underwater towing at a towing speed in ice-free or wholly or partially icy water, the streamer ( 1 ) is provided with birds ( 2 ) spaced along the streamer, the streamer including the birds ( 2 ) has negative buoyancy, the birds have wings ( 8 ) which can be set so that the birds during movement in the water apply an upward or downward force on the streamer. The streamer ( 1 ) is provided with buoyant bodies ( 4 ) spaced along the streamer, the buoyant bodies are connected to the streamer by spacer elements ( 5 ), the streamer including the birds, the buoyant bodies with associated spacer elements and any other equipment together have positive buoyancy. The invention also relates to a corresponding method for securing a seismic streamer ( 1 ) from damage at a substantial reduction or cessation of towing speed when towing underwater in ice-free or wholly or partially icy water. | 1-15. (canceled) 16. A seismic streamer for underwater towing at a towing speed in ice-free or wholly or partially icy water, the streamer comprising:
birds spaced along the streamer, the streamer including the birds has negative buoyancy, the birds have wings that can be set so that the birds during movement in the water apply an upward or downward force on the streamer; and buoyant bodies spaced along the streamer, the buoyant bodies are connected to the streamer by spacer elements, wherein the streamer including the birds, the buoyant bodies with associated spacer elements and any other equipment together have positive buoyancy. 17. The seismic streamer according to claim 16, wherein the spacer elements are provided with a foil fairing. 18. The seismic streamer according to claim 16, wherein the spacer elements are formed by ropes. 19. The seismic streamer according to claim 16, wherein the spacer elements are formed by rigid or semi-rigid elements. 20. The seismic streamer according to claim 16, wherein the spacer elements are connected to the streamer by couplings that are connected to existing attachment devices. 21. The seismic streamer according to claim 16, wherein the spacer elements are connected to the streamer close to or at the birds. 22. The seismic streamer according to claim 16, wherein at least some of the spacer elements and the birds are attached in the same attachment devices. 23. The seismic streamer according to claim 16, wherein the streamer is provided with ballast weights spaced along the streamer, and at least some of the spacer elements and the ballast weights are attached in the same attachment devices. 24. The seismic streamer according to claim 16, wherein the buoyant bodies are designed with optimized hydrodynamic shape which gives small drag and low acoustic noise. 25. The seismic streamer according to claim 16, wherein the buoyant bodies have a tail for stabilizing the movement of the buoyant bodies. 26. A method of using the streamer according to claim 16, comprising towing the birds at a towing speed to maintain the streamer at a selected depth, the birds applying a downward force on the streamer which compensates for the positive buoyancy, wherein at a substantial reduction or cessation of towing speed, the downward force on the streamer from the birds ceases as a result of lack of movement in the water, and the streamer including the birds, the buoyant bodies with associated spacer elements and any other equipment, because of their positive buoyancy rise until the buoyant bodies reach an ice-free water surface or the underside of a wholly or partially icy water surface. 27. A method for securing a seismic streamer from damage at a substantial reduction or cessation of towing speed when towing underwater in ice-free or wholly or partially icy water, the streamer is provided with birds spaced along the streamer, the streamer including the birds has negative buoyancy, the birds have wings which can be set so that the birds during movement in the water apply an upward or downward force on the streamer, comprising:
providing the streamer with buoyant bodies spaced along the streamer, the buoyant bodies are connected to the streamer by spacer elements, such that the streamer including the birds, the buoyant bodies with associated spacer elements (5) and any other equipment, together get positive buoyancy; and towing the birds at the towing speed to maintain the streamer at a selected depth, the birds apply a downward force on the streamer, which compensates for the positive buoyancy, wherein at a substantial reduction or cessation of towing speed, the downward force on the streamer from the birds ceases as a result of lack of movement in the water, and the streamer including the birds, the buoyant bodies with associated spacer elements and any other equipment, because of their positive buoyancy rise until the buoyant bodies reach an ice-free water surface or the underside of a wholly or partially icy water surface. 28. The method according to claim 27, wherein the streamer including the birds is given negative buoyancy when ballasting the streamer. 29. The method according to claim 27, wherein a depth at which the streamer is hanging below the buoyant bodies is preselected by selecting the length of the spacer elements. 30. The method according to claims 27, wherein a pre-calculated total buoyancy of the buoyant bodies is achieved by changing displacement or volume weight of the buoyant bodies or by changing the number of buoyant bodies. | The invention relates to a seismic streamer ( 1 ) for underwater towing at a towing speed in ice-free or wholly or partially icy water, the streamer ( 1 ) is provided with birds ( 2 ) spaced along the streamer, the streamer including the birds ( 2 ) has negative buoyancy, the birds have wings ( 8 ) which can be set so that the birds during movement in the water apply an upward or downward force on the streamer. The streamer ( 1 ) is provided with buoyant bodies ( 4 ) spaced along the streamer, the buoyant bodies are connected to the streamer by spacer elements ( 5 ), the streamer including the birds, the buoyant bodies with associated spacer elements and any other equipment together have positive buoyancy. The invention also relates to a corresponding method for securing a seismic streamer ( 1 ) from damage at a substantial reduction or cessation of towing speed when towing underwater in ice-free or wholly or partially icy water.1-15. (canceled) 16. A seismic streamer for underwater towing at a towing speed in ice-free or wholly or partially icy water, the streamer comprising:
birds spaced along the streamer, the streamer including the birds has negative buoyancy, the birds have wings that can be set so that the birds during movement in the water apply an upward or downward force on the streamer; and buoyant bodies spaced along the streamer, the buoyant bodies are connected to the streamer by spacer elements, wherein the streamer including the birds, the buoyant bodies with associated spacer elements and any other equipment together have positive buoyancy. 17. The seismic streamer according to claim 16, wherein the spacer elements are provided with a foil fairing. 18. The seismic streamer according to claim 16, wherein the spacer elements are formed by ropes. 19. The seismic streamer according to claim 16, wherein the spacer elements are formed by rigid or semi-rigid elements. 20. The seismic streamer according to claim 16, wherein the spacer elements are connected to the streamer by couplings that are connected to existing attachment devices. 21. The seismic streamer according to claim 16, wherein the spacer elements are connected to the streamer close to or at the birds. 22. The seismic streamer according to claim 16, wherein at least some of the spacer elements and the birds are attached in the same attachment devices. 23. The seismic streamer according to claim 16, wherein the streamer is provided with ballast weights spaced along the streamer, and at least some of the spacer elements and the ballast weights are attached in the same attachment devices. 24. The seismic streamer according to claim 16, wherein the buoyant bodies are designed with optimized hydrodynamic shape which gives small drag and low acoustic noise. 25. The seismic streamer according to claim 16, wherein the buoyant bodies have a tail for stabilizing the movement of the buoyant bodies. 26. A method of using the streamer according to claim 16, comprising towing the birds at a towing speed to maintain the streamer at a selected depth, the birds applying a downward force on the streamer which compensates for the positive buoyancy, wherein at a substantial reduction or cessation of towing speed, the downward force on the streamer from the birds ceases as a result of lack of movement in the water, and the streamer including the birds, the buoyant bodies with associated spacer elements and any other equipment, because of their positive buoyancy rise until the buoyant bodies reach an ice-free water surface or the underside of a wholly or partially icy water surface. 27. A method for securing a seismic streamer from damage at a substantial reduction or cessation of towing speed when towing underwater in ice-free or wholly or partially icy water, the streamer is provided with birds spaced along the streamer, the streamer including the birds has negative buoyancy, the birds have wings which can be set so that the birds during movement in the water apply an upward or downward force on the streamer, comprising:
providing the streamer with buoyant bodies spaced along the streamer, the buoyant bodies are connected to the streamer by spacer elements, such that the streamer including the birds, the buoyant bodies with associated spacer elements (5) and any other equipment, together get positive buoyancy; and towing the birds at the towing speed to maintain the streamer at a selected depth, the birds apply a downward force on the streamer, which compensates for the positive buoyancy, wherein at a substantial reduction or cessation of towing speed, the downward force on the streamer from the birds ceases as a result of lack of movement in the water, and the streamer including the birds, the buoyant bodies with associated spacer elements and any other equipment, because of their positive buoyancy rise until the buoyant bodies reach an ice-free water surface or the underside of a wholly or partially icy water surface. 28. The method according to claim 27, wherein the streamer including the birds is given negative buoyancy when ballasting the streamer. 29. The method according to claim 27, wherein a depth at which the streamer is hanging below the buoyant bodies is preselected by selecting the length of the spacer elements. 30. The method according to claims 27, wherein a pre-calculated total buoyancy of the buoyant bodies is achieved by changing displacement or volume weight of the buoyant bodies or by changing the number of buoyant bodies. | 3,600 |
13,682 | 13,682 | 15,345,892 | 3,631 | Aspects herein provide for an athletic bib configured to be worn during athletic activities. In exemplary aspects, the athletic bib may be formed of a knit material comprising a plurality of perforations. The athletic bib may further comprise a releasable adhesive that is selectively applied to the surface of the athletic bib that is configured to be applied to an apparel item. The result of this configuration is an athletic bib that is able to closely conform to a wearer's body shape while still providing breathability and permeability. | 1. An athletic bib comprising:
a panel defined by a perimeter shape comprising:
an upper margin having a first length;
a lower margin having a second length less than the first length, wherein the lower margin is parallel to the upper margin:
a right side margin joining a first end of the upper margin to a first end of the lower margin; and
a left side margin joining a second end of the upper margin to a second end of the lower margin, wherein the right side margin and the left side margin each comprise a first portion extending away from a midline bisecting the athletic bib into right and left halves and a second portion extending toward the midline. 2. The athletic bib of claim 1, wherein the first portion of the left and right side margins has a third length, and wherein the second portion of the left and right side margins has a fourth length, and wherein the third length is less than the fourth length. 3. The athletic bib of claim 1, wherein the panel is formed from one of a knit material, a paper material, a woven material, or a non-woven material. 4. The athletic bib of claim 1, wherein the panel comprises a plurality of perforations extending through the thickness of the panel. 5. The athletic bib of claim 1, wherein an adhesive is selectively applied to an inner-facing surface of the panel. 6. The athletic bib of claim 5, wherein the adhesive comprises a releasable adhesive. 7. The athletic bib of claim 1, wherein visual indicia is printed on an outer-facing surface of the panel. 8. The athletic bib of claim 1, wherein the athletic bib is adapted to be affixed to an apparel item configured for an upper torso of a wearer or a lower torso of the wearer, and wherein the athletic bib is adapted to overlie a chest area, a back area, an arm area, or a thigh area of the wearer when the athletic bib is affixed to the apparel item. 9. An athletic bib comprising:
a panel having an outer-facing surface and an inner-facing surface, the panel having applied thereon a repeating pattern of slits extending from the outer-facing surface through the inner-facing surface of the panel; a releasable adhesive applied to the inner-facing surface of the panel; and visual indicia applied to the outer-facing surface of the panel. 10. The athletic bib of claim 9, further comprising a plurality of perforations extending from the outer-facing surface through the inner-facing surface of the panel. 11. The athletic bib of claim 9, wherein the panel comprises one of a woven material or a paper material. 12. The athletic bib of claim 9, wherein the panel is defined by a perimeter shape. 13. The athletic bib of claim 12, wherein the perimeter shape comprises a rectangle. 14. The athletic bib of claim 12, wherein the perimeter shape comprises:
an upper margin having a first length; a lower margin having a second length less than the first length, wherein the lower margin is parallel to the upper margin; a right side margin joining a first end of the upper margin to a first end of the lower margin; and a left side margin joining a second end of the upper margin to a second end of the lower margin, wherein the right side margin and the left side margin each comprise a first portion extending away from a midline bisecting the athletic bib and a second portion extending toward the midline. 15. A kit for an athletic bib, the kit comprising:
a transport layer formed from a relatively rigid substrate; a carrier layer having a first surface and a second surface, wherein the second surface of the carrier layer is secured to the transport layer; and a panel comprising the athletic bib, wherein the panel comprises a third surface and a fourth surface, and wherein the third surface of the panel is releasably secured to the first surface of the carrier layer, and wherein the athletic bib comprises a plurality of perforations extending through a thickness of the panel. 16. The kit of claim 15, wherein the athletic bib further comprises a repeating pattern of slits extending through a thickness of the panel. 17. The kit of claim 15, wherein the third surface of the panel is releasably secured to the first surface of the carrier layer via a releasable adhesive that is selectively applied to the third surface of the panel. 18. The kit of claim 15, wherein visual indicia are printed on the fourth surface of the panel. 19. The kit of claim 15, wherein the panel is defined by a perimeter shape comprising:
an upper margin having a first length; a lower margin having a second length less than the first length, wherein the lower margin is parallel to the upper margin; a right side margin joining a first end of the upper margin to a first end of the lower margin; and a left side margin joining a second end of the upper margin to a second end of the lower margin, wherein the right side margin and the left side margin each comprise a first portion extending away from a midline bisecting the athletic bib and a second portion extending toward the midline. 20. The kit of claim 19, wherein the transport layer and the carrier layer have the same perimeter shape as the panel. | Aspects herein provide for an athletic bib configured to be worn during athletic activities. In exemplary aspects, the athletic bib may be formed of a knit material comprising a plurality of perforations. The athletic bib may further comprise a releasable adhesive that is selectively applied to the surface of the athletic bib that is configured to be applied to an apparel item. The result of this configuration is an athletic bib that is able to closely conform to a wearer's body shape while still providing breathability and permeability.1. An athletic bib comprising:
a panel defined by a perimeter shape comprising:
an upper margin having a first length;
a lower margin having a second length less than the first length, wherein the lower margin is parallel to the upper margin:
a right side margin joining a first end of the upper margin to a first end of the lower margin; and
a left side margin joining a second end of the upper margin to a second end of the lower margin, wherein the right side margin and the left side margin each comprise a first portion extending away from a midline bisecting the athletic bib into right and left halves and a second portion extending toward the midline. 2. The athletic bib of claim 1, wherein the first portion of the left and right side margins has a third length, and wherein the second portion of the left and right side margins has a fourth length, and wherein the third length is less than the fourth length. 3. The athletic bib of claim 1, wherein the panel is formed from one of a knit material, a paper material, a woven material, or a non-woven material. 4. The athletic bib of claim 1, wherein the panel comprises a plurality of perforations extending through the thickness of the panel. 5. The athletic bib of claim 1, wherein an adhesive is selectively applied to an inner-facing surface of the panel. 6. The athletic bib of claim 5, wherein the adhesive comprises a releasable adhesive. 7. The athletic bib of claim 1, wherein visual indicia is printed on an outer-facing surface of the panel. 8. The athletic bib of claim 1, wherein the athletic bib is adapted to be affixed to an apparel item configured for an upper torso of a wearer or a lower torso of the wearer, and wherein the athletic bib is adapted to overlie a chest area, a back area, an arm area, or a thigh area of the wearer when the athletic bib is affixed to the apparel item. 9. An athletic bib comprising:
a panel having an outer-facing surface and an inner-facing surface, the panel having applied thereon a repeating pattern of slits extending from the outer-facing surface through the inner-facing surface of the panel; a releasable adhesive applied to the inner-facing surface of the panel; and visual indicia applied to the outer-facing surface of the panel. 10. The athletic bib of claim 9, further comprising a plurality of perforations extending from the outer-facing surface through the inner-facing surface of the panel. 11. The athletic bib of claim 9, wherein the panel comprises one of a woven material or a paper material. 12. The athletic bib of claim 9, wherein the panel is defined by a perimeter shape. 13. The athletic bib of claim 12, wherein the perimeter shape comprises a rectangle. 14. The athletic bib of claim 12, wherein the perimeter shape comprises:
an upper margin having a first length; a lower margin having a second length less than the first length, wherein the lower margin is parallel to the upper margin; a right side margin joining a first end of the upper margin to a first end of the lower margin; and a left side margin joining a second end of the upper margin to a second end of the lower margin, wherein the right side margin and the left side margin each comprise a first portion extending away from a midline bisecting the athletic bib and a second portion extending toward the midline. 15. A kit for an athletic bib, the kit comprising:
a transport layer formed from a relatively rigid substrate; a carrier layer having a first surface and a second surface, wherein the second surface of the carrier layer is secured to the transport layer; and a panel comprising the athletic bib, wherein the panel comprises a third surface and a fourth surface, and wherein the third surface of the panel is releasably secured to the first surface of the carrier layer, and wherein the athletic bib comprises a plurality of perforations extending through a thickness of the panel. 16. The kit of claim 15, wherein the athletic bib further comprises a repeating pattern of slits extending through a thickness of the panel. 17. The kit of claim 15, wherein the third surface of the panel is releasably secured to the first surface of the carrier layer via a releasable adhesive that is selectively applied to the third surface of the panel. 18. The kit of claim 15, wherein visual indicia are printed on the fourth surface of the panel. 19. The kit of claim 15, wherein the panel is defined by a perimeter shape comprising:
an upper margin having a first length; a lower margin having a second length less than the first length, wherein the lower margin is parallel to the upper margin; a right side margin joining a first end of the upper margin to a first end of the lower margin; and a left side margin joining a second end of the upper margin to a second end of the lower margin, wherein the right side margin and the left side margin each comprise a first portion extending away from a midline bisecting the athletic bib and a second portion extending toward the midline. 20. The kit of claim 19, wherein the transport layer and the carrier layer have the same perimeter shape as the panel. | 3,600 |
13,683 | 13,683 | 14,891,554 | 3,684 | A coordinating information providing system and a read information management system provide system to select a commodity to purchase. The coordinating information providing system includes a purchaser terminal structure, a management server that manages information of a commodity as well as information of a purchaser and an information provider and that provides the purchaser terminal with the information of the commodity, an information provider terminal operated by an information provider who provides the management server with coordinates information of a commodity, an information management administrator terminal operated by an information management administrator who administrates the management server, and a network system with interconnecting the terminals and the server allows them to communicate interlinked. | 1. A coordinates information providing system comprising:
a commodity code recording medium recoding a commodity code identifying a commodity; a purchaser terminal that reads said commodity code therefrom, and a management server connected to said purchaser terminal via a network, and is managing coordinates information indicative of a coordinates example and information of a commodity used in the coordinates example, corresponding each other, wherein when said management server receives said read commodity code from the purchaser terminal, said management server transmits said coordinates information indicative of the coordinates example, in which a commodity corresponding to the received commodity code is used, to the purchaser terminal. 2. The coordinates information providing system according to claim 1, wherein:
when said management server receives said commodity code from said purchaser terminal, said management server transmits commodity information corresponding to the received commodity code to said purchaser terminal, and further
when said purchaser terminal receives said commodity information from said management server, said purchaser terminal displays the received commodity information. 3. The coordinates information providing system according to claim 1,
wherein: said purchaser terminal transmits said commodity code and information relative to a purchaser's planning to purchase or the already purchased commodity corresponding to the commodity code to said management server, and further when said management server receives said commodity code and the information relative to the purchaser's planning to purchase said commodity or said already purchased commodity from the purchaser terminal, said management server extracts said commodity information based on the commodity code, create a list of said commodities that the purchaser plans to purchase or a list of said already purchased commodities based on the extracted commodity information, and transmits the created list in response to a request from said purchaser terminal. 4. The coordinates information providing system according to claim 3, wherein:
said management server stores therein said commodity information and said information relative to said the purchaser's planning to purchase or said already purchased commodity in connection with each other, and transmits the stored information in response to a request from said purchaser terminal. 5. The coordinates information providing system according to claim 3, wherein:
when said management server receives the information relative to allowing sales of a commodity listed in the list of said already purchased commodities from said purchaser terminal, said management server creates a page for the commodity allowed to be sold and renders the created page accessible via a network. 6. The coordinates information providing system according to claim 1, wherein:
said management server browses around a Web page of a commodity manufacture or a commodity sales agent and extracts and stores said commodity information. 7. The coordinates information providing system according to claim 1, further comprising;
an information provider terminal that transmits said coordinates information to said management server to register said coordinates information therewith. 8. The coordinates information providing system of claim 7, wherein:
said management server stores therein two or more coordinates information provided by an information provider who operates said information provider terminal in connection with each other, and transmits the stored information in response to a request from said purchaser terminal. 9. The coordinates information providing system according to claim 1, wherein:
said purchaser terminal reads information peculiar to a store from a recording medium placed in the store and transmits the read information together with said commodity code to said management server, and then said management server stores therein the information peculiar to the store and the commodity code received from said purchaser terminal in connection with each other. 10. The coordinates information providing system according to claim 9, wherein:
once said management server receives a commodity code for the purchased commodity from said purchaser terminal when said purchaser purchases the commodity on an EC site, said management server extracts said store specific code in connection with the received commodity code from said store specific codes already stored in said management server and then carries out a settlement transaction, wherein a part of payment for said purchased commodity is transferred to a bank account of the store having the extracted store specific code. 11. A read information management system comprising:
a purchaser terminal that is operable for a commodity purchase and reads out a commodity code from a commodity code recording medium recoding said commodity code identifying a commodity; and a management server that is connected to said purchaser terminal via a network and manages a purchase information of the commodity purchased by said purchaser, wherein
said purchaser terminal reads out information peculiar to a store from a recording medium placed in the store and transmits the read-out information together with said commodity code to said management server, and
said management server stores therein the information peculiar to the store and the commodity code received from the purchaser terminal in connection with each other. 12. The read information management system according to claim 11, wherein:
once said management server receives a commodity code for the purchased commodity from said purchaser terminal when said purchaser purchases the commodity on an EC site, said management server extracts said store specific code in connection with the received commodity code from said store specific codes already stored in said management server and then carries out a settlement transaction, wherein a part of payment for said purchased commodity is transferred to a bank account of the store having the extracted store specific code. | A coordinating information providing system and a read information management system provide system to select a commodity to purchase. The coordinating information providing system includes a purchaser terminal structure, a management server that manages information of a commodity as well as information of a purchaser and an information provider and that provides the purchaser terminal with the information of the commodity, an information provider terminal operated by an information provider who provides the management server with coordinates information of a commodity, an information management administrator terminal operated by an information management administrator who administrates the management server, and a network system with interconnecting the terminals and the server allows them to communicate interlinked.1. A coordinates information providing system comprising:
a commodity code recording medium recoding a commodity code identifying a commodity; a purchaser terminal that reads said commodity code therefrom, and a management server connected to said purchaser terminal via a network, and is managing coordinates information indicative of a coordinates example and information of a commodity used in the coordinates example, corresponding each other, wherein when said management server receives said read commodity code from the purchaser terminal, said management server transmits said coordinates information indicative of the coordinates example, in which a commodity corresponding to the received commodity code is used, to the purchaser terminal. 2. The coordinates information providing system according to claim 1, wherein:
when said management server receives said commodity code from said purchaser terminal, said management server transmits commodity information corresponding to the received commodity code to said purchaser terminal, and further
when said purchaser terminal receives said commodity information from said management server, said purchaser terminal displays the received commodity information. 3. The coordinates information providing system according to claim 1,
wherein: said purchaser terminal transmits said commodity code and information relative to a purchaser's planning to purchase or the already purchased commodity corresponding to the commodity code to said management server, and further when said management server receives said commodity code and the information relative to the purchaser's planning to purchase said commodity or said already purchased commodity from the purchaser terminal, said management server extracts said commodity information based on the commodity code, create a list of said commodities that the purchaser plans to purchase or a list of said already purchased commodities based on the extracted commodity information, and transmits the created list in response to a request from said purchaser terminal. 4. The coordinates information providing system according to claim 3, wherein:
said management server stores therein said commodity information and said information relative to said the purchaser's planning to purchase or said already purchased commodity in connection with each other, and transmits the stored information in response to a request from said purchaser terminal. 5. The coordinates information providing system according to claim 3, wherein:
when said management server receives the information relative to allowing sales of a commodity listed in the list of said already purchased commodities from said purchaser terminal, said management server creates a page for the commodity allowed to be sold and renders the created page accessible via a network. 6. The coordinates information providing system according to claim 1, wherein:
said management server browses around a Web page of a commodity manufacture or a commodity sales agent and extracts and stores said commodity information. 7. The coordinates information providing system according to claim 1, further comprising;
an information provider terminal that transmits said coordinates information to said management server to register said coordinates information therewith. 8. The coordinates information providing system of claim 7, wherein:
said management server stores therein two or more coordinates information provided by an information provider who operates said information provider terminal in connection with each other, and transmits the stored information in response to a request from said purchaser terminal. 9. The coordinates information providing system according to claim 1, wherein:
said purchaser terminal reads information peculiar to a store from a recording medium placed in the store and transmits the read information together with said commodity code to said management server, and then said management server stores therein the information peculiar to the store and the commodity code received from said purchaser terminal in connection with each other. 10. The coordinates information providing system according to claim 9, wherein:
once said management server receives a commodity code for the purchased commodity from said purchaser terminal when said purchaser purchases the commodity on an EC site, said management server extracts said store specific code in connection with the received commodity code from said store specific codes already stored in said management server and then carries out a settlement transaction, wherein a part of payment for said purchased commodity is transferred to a bank account of the store having the extracted store specific code. 11. A read information management system comprising:
a purchaser terminal that is operable for a commodity purchase and reads out a commodity code from a commodity code recording medium recoding said commodity code identifying a commodity; and a management server that is connected to said purchaser terminal via a network and manages a purchase information of the commodity purchased by said purchaser, wherein
said purchaser terminal reads out information peculiar to a store from a recording medium placed in the store and transmits the read-out information together with said commodity code to said management server, and
said management server stores therein the information peculiar to the store and the commodity code received from the purchaser terminal in connection with each other. 12. The read information management system according to claim 11, wherein:
once said management server receives a commodity code for the purchased commodity from said purchaser terminal when said purchaser purchases the commodity on an EC site, said management server extracts said store specific code in connection with the received commodity code from said store specific codes already stored in said management server and then carries out a settlement transaction, wherein a part of payment for said purchased commodity is transferred to a bank account of the store having the extracted store specific code. | 3,600 |
13,684 | 13,684 | 13,996,586 | 3,626 | A method and apparatus for managing clinical protocols and/or computer interpretable guidelines includes receiving workflow data and patient data for a plurality of patients. The workflow data includes a sequence of care steps performed on each of the patients. The patient data includes clinical data collected from each patient. The patient data as of the time each of the plurality of care steps was performed on each of the patients is tracked. Once of the previous care steps for one of the patients is selected which cause at least a portion of the sequence of care steps and the patient data as of the time of the selected care step for the selected patient to be displayed. | 1. A method of tracking performed steps in clinical protocols and/or computer interpretable guidelines, the method comprising:
receiving workflow data and patient data for a plurality of patients, wherein the workflow data includes a plurality of care steps for each of the patients and the patient data includes clinical data collected from each of the patient; tracking the workflow and patient data for each of the plurality of care steps for each of the patients; selecting one of the previous care steps performed on one of the patients; and causing the workflow data and the patient data at the time of the performance of the previous care step on the selected patient to be displayed. 2. The method according to claim 1, wherein each of the care steps are based on established clinical protocols and/or computer interpretable guidelines. 3. The method according to claim 1, further including:
documenting any performed care steps into the workflow data that deviate from the established clinical protocol and/or computer interpretable guidelines. 4. The method according to claim 1, wherein the step of selecting one of the previous care steps further includes:
selecting a series of preceding care steps such that an evolution of the care steps and the patient data is displayed. 5. The method according to claim 1, further including:
on a display unit displaying a care step map and the patient data as it existed at a time when the selected care step was performed. 6. The method according to claim 1, further including:
performing a comparative analysis to explore alternative hypothetical paths. 7. The method according to claim 6, wherein the comparative analysis provides one or more clinical recommendations based on one or more decision support models and further includes:
pursuing a hypothetical path; and observing whether or not the one or more decision support models yield a more efficient recommendation. 8. (canceled) 9. (canceled) 10. A system for managing clinical protocols and/or clinical guidelines comprising:
a data collection engine that receives workflow data and patient data for a plurality of patients, wherein the workflow data includes a plurality of care steps for each of the patients and the patient data includes clinical data collected from each of the patient; a data analysis engine that:
tracks the workflow and patient data for each of the patients; and
causes the workflow data and the patient data at the time of a selected previous care step for a select one of the patients to be displayed on a display. 11. The system according to claim 10, wherein the display displays a map of care steps called for by an established clinical protocol and/or computer interpretable guideline and the data analysis engine further inserts into the care step map on the display any added or different care steps that deviate from the established clinical protocol and/or computer interpretable guidelines. 12. The system according to claim 10, wherein the data analysis engine further:
generates and causes display of a visualization that illustrates a order of steps performed and/or care steps to be performed according to a clinical protocol and/or computer interpretable guidelines, wherein one of the care steps in the displayed visualization is selectable to cause the data analysis engine to retrieve and display the patient data as it existed at a time when the selected care step was performed. 13. The system according to claim 10, wherein the data analysis engine performs a comparative analysis to determine a probable outcome of a care step not performed in the patient case. 14. (canceled) 15. The system according to claim 10, wherein the comparative analysis provides one or more clinical recommendations based on one or more decision support models and further includes:
pursuing a hypothetical path; and observing whether or not the one or more decision support models yield a more efficient recommendation. 16. A clinical workflow or decisions support manager comprising:
a data collection engine that collects workflow data and patient data for at least one patient, the workflow data including at least a current care step of a sequence of care steps prescribed by a clinical protocol and/or computer interpretable guideline describing the patient's treatment regimen and the patient data including clinical data collected from the patient over time; a data analysis engine that tracks and records the patient data as of the time at which each of the care steps for the patient is performed; a display that displays at least a selected one of the sequence of care steps and patient data as of the time the selected care step was performed on the patient. 17. (canceled) 18. (canceled) 19. The manager according to claim 16, wherein the data analysis engine further performs a comparative analysis to determine a probable outcome if a hypothetical care step were performed instead of the actual care step. 20. The manager according to claim 16, wherein comparative analysis is based on probability models of care steps performed on other patients with similar patient data to the patient data as of the time of the selected care step. | A method and apparatus for managing clinical protocols and/or computer interpretable guidelines includes receiving workflow data and patient data for a plurality of patients. The workflow data includes a sequence of care steps performed on each of the patients. The patient data includes clinical data collected from each patient. The patient data as of the time each of the plurality of care steps was performed on each of the patients is tracked. Once of the previous care steps for one of the patients is selected which cause at least a portion of the sequence of care steps and the patient data as of the time of the selected care step for the selected patient to be displayed.1. A method of tracking performed steps in clinical protocols and/or computer interpretable guidelines, the method comprising:
receiving workflow data and patient data for a plurality of patients, wherein the workflow data includes a plurality of care steps for each of the patients and the patient data includes clinical data collected from each of the patient; tracking the workflow and patient data for each of the plurality of care steps for each of the patients; selecting one of the previous care steps performed on one of the patients; and causing the workflow data and the patient data at the time of the performance of the previous care step on the selected patient to be displayed. 2. The method according to claim 1, wherein each of the care steps are based on established clinical protocols and/or computer interpretable guidelines. 3. The method according to claim 1, further including:
documenting any performed care steps into the workflow data that deviate from the established clinical protocol and/or computer interpretable guidelines. 4. The method according to claim 1, wherein the step of selecting one of the previous care steps further includes:
selecting a series of preceding care steps such that an evolution of the care steps and the patient data is displayed. 5. The method according to claim 1, further including:
on a display unit displaying a care step map and the patient data as it existed at a time when the selected care step was performed. 6. The method according to claim 1, further including:
performing a comparative analysis to explore alternative hypothetical paths. 7. The method according to claim 6, wherein the comparative analysis provides one or more clinical recommendations based on one or more decision support models and further includes:
pursuing a hypothetical path; and observing whether or not the one or more decision support models yield a more efficient recommendation. 8. (canceled) 9. (canceled) 10. A system for managing clinical protocols and/or clinical guidelines comprising:
a data collection engine that receives workflow data and patient data for a plurality of patients, wherein the workflow data includes a plurality of care steps for each of the patients and the patient data includes clinical data collected from each of the patient; a data analysis engine that:
tracks the workflow and patient data for each of the patients; and
causes the workflow data and the patient data at the time of a selected previous care step for a select one of the patients to be displayed on a display. 11. The system according to claim 10, wherein the display displays a map of care steps called for by an established clinical protocol and/or computer interpretable guideline and the data analysis engine further inserts into the care step map on the display any added or different care steps that deviate from the established clinical protocol and/or computer interpretable guidelines. 12. The system according to claim 10, wherein the data analysis engine further:
generates and causes display of a visualization that illustrates a order of steps performed and/or care steps to be performed according to a clinical protocol and/or computer interpretable guidelines, wherein one of the care steps in the displayed visualization is selectable to cause the data analysis engine to retrieve and display the patient data as it existed at a time when the selected care step was performed. 13. The system according to claim 10, wherein the data analysis engine performs a comparative analysis to determine a probable outcome of a care step not performed in the patient case. 14. (canceled) 15. The system according to claim 10, wherein the comparative analysis provides one or more clinical recommendations based on one or more decision support models and further includes:
pursuing a hypothetical path; and observing whether or not the one or more decision support models yield a more efficient recommendation. 16. A clinical workflow or decisions support manager comprising:
a data collection engine that collects workflow data and patient data for at least one patient, the workflow data including at least a current care step of a sequence of care steps prescribed by a clinical protocol and/or computer interpretable guideline describing the patient's treatment regimen and the patient data including clinical data collected from the patient over time; a data analysis engine that tracks and records the patient data as of the time at which each of the care steps for the patient is performed; a display that displays at least a selected one of the sequence of care steps and patient data as of the time the selected care step was performed on the patient. 17. (canceled) 18. (canceled) 19. The manager according to claim 16, wherein the data analysis engine further performs a comparative analysis to determine a probable outcome if a hypothetical care step were performed instead of the actual care step. 20. The manager according to claim 16, wherein comparative analysis is based on probability models of care steps performed on other patients with similar patient data to the patient data as of the time of the selected care step. | 3,600 |
13,685 | 13,685 | 15,785,967 | 3,678 | Provided is a multifunctional reel carrier, spoil material handling container device having a first trailer or first truck bed, a first container constructed to contain spoil on the first trailer or first truck bed, at least one spoil transporting device constructed to transfer spoil from a micro trencher and deposit the spoil in the first container and constructed to transfer spoil from the first container to a fill device, and at least one reel holder constructed to hold a reel of cable and/or innerduct/microduct present on the first truck or first trailer, or present on a second trailer or second truck. Also provided is a method of using the multifunctional reel carrier, spoil material handling container device to lay cable and/or innerduct/microduct underground. | 1. A multifunctional reel carrier, spoil material handling container device constructed for continuously trenching, laying a cable or innerduct/microduct, and filling the trench comprising:
a first trailer or first truck; a first container constructed to contain spoil on the first trailer or first truck; at least one spoil transport device constructed to continuously transport at least a portion of the spoil from a micro trencher creating a trench and deposit the spoil in the first container and constructed to transfer at least a portion of the spoil from the first container to a fill device; and at least one reel holder constructed to hold a reel of the cable or innerduct/microduct on the first trailer or first truck, or on a second trailer or second truck and constructed to continuously lay the cable or innerduct/microduct in the trench. 2. The multifunctional reel carrier, spoil material handling container according to claim 1, further comprising an outlet constructed to allow air to flow into and/or out of the first container. 3. The multifunctional reel carrier, spoil material handling container according to claim 1, wherein the at least one spoil transport device comprises a vacuum device. 4. The multifunctional reel carrier, spoil material handling container according to claim 3, wherein the at least one vacuum device comprises a first vacuum device constructed to vacuum spoil from the micro trencher and a second vacuum device constructed transfer the spoil from the first container to the fill device. 5. The multifunctional reel carrier, spoil material handling container according to claim 1, wherein the at least one reel holder constructed to hold a reel of cable or innerduct/microduct is present on a second trailer or second truck following the first trailer or first truck. 6. The multifunctional reel carrier, spoil material handling container according to claim 1, wherein the at least one spoil transport device comprises a conveyor. 7. The multifunctional reel carrier, spoil material handling container according to claim 1, wherein the at least one spoil transport device comprises a screw. 8. The multifunctional reel carrier, spoil material handling container according to claim 1, further comprising a micro trencher. 9. A method of continuously laying cable or innerduct/microduct comprising:
continuously using a micro-trencher to cut a micro-trench in ground and create spoil; continuously transporting at least a portion of the spoil from the micro-trencher to a first container constructed to contain spoil using at least one spoil transporting device; continuously laying the cable and/or innerduct/microduct in the trench from a reel device; and continuously filling the trench with a fill from the fill device. 10. The method according to claim 9, wherein the steps of continuously transporting the spoil from the micro-trencher to a first container constructed to contain spoil using a first spoil transporting device and continuously laying the cable and/or innerduct/microduct in the trench from a reel device are conducted using a micro-trencher using a multifunctional reel carrier, spoil material handling container device comprising:
a first truck or first trailer; the first container constructed to contain spoil being on the first truck or first trailer; and the at least one spoil transporting device constructed to transfer spoil from a micro trencher and deposit the spoil in the first container. 11. The method according to claim 9, further comprising using at least one spoil transporting device to transport at least a portion of the spoil from the first container to the fill device, wherein the fill comprises at least a portion of the spoil. 12. The method according to claim 9, further comprising using an outlet constructed to allow air to flow into and/or out of the first container. 13. The method according to claim 9, wherein the first spoil transporting device comprising at least one vaccum device. 14. The method according to claim 12, wherein the at least one vacuum device comprises a first vacuum device and using the first vacuum device to vacuum spoil from the micro trencher and deposit the spoil into the first container. 15. The method according to claim 9, wherein the second spoil transporting device comprises at least one second vacuum device, and using the second vacuum device to transfer the spoil from the first container to the fill device. 16. The method according to claim 9, wherein the at least one reel holder constructed to hold a reel of cable or innerduct/microduct is present on a second trailer or second truck following the first trailer or first truck. 17. The method according to claim 9, wherein the second spoil transporting device comprises a conveyor. 18. The method according to claim 9, wherein the second spoil transporting device comprises a screw. 19. The method according to claim 9, wherein the ground has a roadway surface and the trench is cut through the roadway surface. 20. The method according to claim 18, wherein the fill comprises a bonding agent. 21. The method according to claim 19, wherein the fill comprises a coloring agent so that a color of the fill when cured substantially matches a color of the surface the trench is formed in. 22. The method according to claim 9, further comprising applying a line marker to the ground to be cut by the micro trencher. 23. The method according to claim 21, wherein the marker line has identifies a start and a stop position. 24. The method according to claim 22, wherein the filling of the microtrench is conducted in one step. 25. A method of providing a temporary and permanent optical fiber network comprising:
dispensing an optical fiber from a support, the optical fiber having a first end and a second end; laying the dispensed optical fiber on a surface; covering the dispensed optical fiber with a protection device that protects the optical fiber from footwear or vehicle traffic; connecting the first end to a feed; connecting the second end to a desired user; and using the method of claim 9 to bury the optical fiber to form a permanent optical fiber network. 26. The method according to claim 25, further comprising permanently mounting or burying the support. 27. The method according to claim 25, wherein the support comprises a reel. 28. The method according to claim 25, wherein the optical fiber having a first optical fiber connector mounted on the first end and a second optical fiber connector mounted on the second end. 29. The method according to claim 25, utilizing box comprising the support, having one or more first optical fiber extenders comprising a first reel or first loose coil of optical fiber for input to the box to allow optical fiber to be unwound for a temporary or final installation, one or more second optical fiber extenders comprising a second reel or second loose coil of optical fiber for output from the box to allow optical fiber to be unwound for a connection to and additional box for a temporary or final installation, and one or more third optical fiber extenders comprising a third reel or third coil of optical fiber for fiber drops from the box to allow optical fiber to be unwound for connections to customers for temporary or final installation. 30. The method according to claim 24, wherein the fill comprises a bonding agent and a coloring agent so that a color of the fill when cured substantially matches a color of the surface the trench is formed in. | Provided is a multifunctional reel carrier, spoil material handling container device having a first trailer or first truck bed, a first container constructed to contain spoil on the first trailer or first truck bed, at least one spoil transporting device constructed to transfer spoil from a micro trencher and deposit the spoil in the first container and constructed to transfer spoil from the first container to a fill device, and at least one reel holder constructed to hold a reel of cable and/or innerduct/microduct present on the first truck or first trailer, or present on a second trailer or second truck. Also provided is a method of using the multifunctional reel carrier, spoil material handling container device to lay cable and/or innerduct/microduct underground.1. A multifunctional reel carrier, spoil material handling container device constructed for continuously trenching, laying a cable or innerduct/microduct, and filling the trench comprising:
a first trailer or first truck; a first container constructed to contain spoil on the first trailer or first truck; at least one spoil transport device constructed to continuously transport at least a portion of the spoil from a micro trencher creating a trench and deposit the spoil in the first container and constructed to transfer at least a portion of the spoil from the first container to a fill device; and at least one reel holder constructed to hold a reel of the cable or innerduct/microduct on the first trailer or first truck, or on a second trailer or second truck and constructed to continuously lay the cable or innerduct/microduct in the trench. 2. The multifunctional reel carrier, spoil material handling container according to claim 1, further comprising an outlet constructed to allow air to flow into and/or out of the first container. 3. The multifunctional reel carrier, spoil material handling container according to claim 1, wherein the at least one spoil transport device comprises a vacuum device. 4. The multifunctional reel carrier, spoil material handling container according to claim 3, wherein the at least one vacuum device comprises a first vacuum device constructed to vacuum spoil from the micro trencher and a second vacuum device constructed transfer the spoil from the first container to the fill device. 5. The multifunctional reel carrier, spoil material handling container according to claim 1, wherein the at least one reel holder constructed to hold a reel of cable or innerduct/microduct is present on a second trailer or second truck following the first trailer or first truck. 6. The multifunctional reel carrier, spoil material handling container according to claim 1, wherein the at least one spoil transport device comprises a conveyor. 7. The multifunctional reel carrier, spoil material handling container according to claim 1, wherein the at least one spoil transport device comprises a screw. 8. The multifunctional reel carrier, spoil material handling container according to claim 1, further comprising a micro trencher. 9. A method of continuously laying cable or innerduct/microduct comprising:
continuously using a micro-trencher to cut a micro-trench in ground and create spoil; continuously transporting at least a portion of the spoil from the micro-trencher to a first container constructed to contain spoil using at least one spoil transporting device; continuously laying the cable and/or innerduct/microduct in the trench from a reel device; and continuously filling the trench with a fill from the fill device. 10. The method according to claim 9, wherein the steps of continuously transporting the spoil from the micro-trencher to a first container constructed to contain spoil using a first spoil transporting device and continuously laying the cable and/or innerduct/microduct in the trench from a reel device are conducted using a micro-trencher using a multifunctional reel carrier, spoil material handling container device comprising:
a first truck or first trailer; the first container constructed to contain spoil being on the first truck or first trailer; and the at least one spoil transporting device constructed to transfer spoil from a micro trencher and deposit the spoil in the first container. 11. The method according to claim 9, further comprising using at least one spoil transporting device to transport at least a portion of the spoil from the first container to the fill device, wherein the fill comprises at least a portion of the spoil. 12. The method according to claim 9, further comprising using an outlet constructed to allow air to flow into and/or out of the first container. 13. The method according to claim 9, wherein the first spoil transporting device comprising at least one vaccum device. 14. The method according to claim 12, wherein the at least one vacuum device comprises a first vacuum device and using the first vacuum device to vacuum spoil from the micro trencher and deposit the spoil into the first container. 15. The method according to claim 9, wherein the second spoil transporting device comprises at least one second vacuum device, and using the second vacuum device to transfer the spoil from the first container to the fill device. 16. The method according to claim 9, wherein the at least one reel holder constructed to hold a reel of cable or innerduct/microduct is present on a second trailer or second truck following the first trailer or first truck. 17. The method according to claim 9, wherein the second spoil transporting device comprises a conveyor. 18. The method according to claim 9, wherein the second spoil transporting device comprises a screw. 19. The method according to claim 9, wherein the ground has a roadway surface and the trench is cut through the roadway surface. 20. The method according to claim 18, wherein the fill comprises a bonding agent. 21. The method according to claim 19, wherein the fill comprises a coloring agent so that a color of the fill when cured substantially matches a color of the surface the trench is formed in. 22. The method according to claim 9, further comprising applying a line marker to the ground to be cut by the micro trencher. 23. The method according to claim 21, wherein the marker line has identifies a start and a stop position. 24. The method according to claim 22, wherein the filling of the microtrench is conducted in one step. 25. A method of providing a temporary and permanent optical fiber network comprising:
dispensing an optical fiber from a support, the optical fiber having a first end and a second end; laying the dispensed optical fiber on a surface; covering the dispensed optical fiber with a protection device that protects the optical fiber from footwear or vehicle traffic; connecting the first end to a feed; connecting the second end to a desired user; and using the method of claim 9 to bury the optical fiber to form a permanent optical fiber network. 26. The method according to claim 25, further comprising permanently mounting or burying the support. 27. The method according to claim 25, wherein the support comprises a reel. 28. The method according to claim 25, wherein the optical fiber having a first optical fiber connector mounted on the first end and a second optical fiber connector mounted on the second end. 29. The method according to claim 25, utilizing box comprising the support, having one or more first optical fiber extenders comprising a first reel or first loose coil of optical fiber for input to the box to allow optical fiber to be unwound for a temporary or final installation, one or more second optical fiber extenders comprising a second reel or second loose coil of optical fiber for output from the box to allow optical fiber to be unwound for a connection to and additional box for a temporary or final installation, and one or more third optical fiber extenders comprising a third reel or third coil of optical fiber for fiber drops from the box to allow optical fiber to be unwound for connections to customers for temporary or final installation. 30. The method according to claim 24, wherein the fill comprises a bonding agent and a coloring agent so that a color of the fill when cured substantially matches a color of the surface the trench is formed in. | 3,600 |
13,686 | 13,686 | 13,423,134 | 3,624 | A computer implemented method for mining risks includes providing a set of risk-indicating patterns on a computing device; querying a corpus using the computing device to identify a set of potential risks by using a risk-identification-algorithm based, at least in part, on the set of risk-indicating patterns associated with the corpus; comparing the set of potential risks with the risk-indicating patterns to obtain a set of prerequisite risks; generating a signal representative of the set of prerequisite risks; storing the signal representative of the set of prerequisite risks in an electronic memory; aggregating potential risks linked to an entity to an entity risk profile (ERP); and predicting a movement in a security associated with an entity. | 1. A computer implemented automated method comprising:
a. generating a current entity-specific risk profile; b. determining a risk difference between a historical risk profile and the current entity-specific risk profile; c. based upon the risk difference, predicting a movement of a price of a security associated with an entity, the entity being the entity for which the current entity-specific risk profile was generated; and d. electronically transmitting the movement. 2. The method of claim 1 wherein the movement is either up or down and the security is a share of stock in the entity. 3. The method of claim 1 wherein the step of predicting is further based upon:
a. a second risk difference, the second risk difference being between a historical entity-specific risk profile and a second historical risk profile; and
b. a second movement of the price of the security associated with the entity based upon a historical entity-specific risk profile price and a second historical risk profile price, the historical entity-specific risk profile price being the price of the security at a time associated with the historical entity-specific risk profile and the second historical risk profile price being the price of the security at a different time associated with the second historical risk profile. 4. The method of claim 3 wherein the movement is also associated with an absolute value. 5. The method of claim 4 wherein the absolute value is based upon the second movement. 6. The method of claim 5 wherein the step of electronically transmitting further comprises:
a. determining from a database a set of users interested in the entity; and
b. generating a message comprising the movement, the message being addressed to the set of users. 7. The method of claim 1 wherein the historical risk profile is related to the entity. 8. The method of claim 1 wherein the historical risk profile is related to an industry of the entity. 9. The method of claim 1 wherein the current entity-specific risk profile comprises:
a. an operational risk indicator;
b. a legal risk indicator;
c. a markets risk indicator;
d. a financial risk indicator;
e. a set of idiosyncratic risk information; and
f. a set of trend information. 10. The method of claim 9 wherein the set of trend information comprises a set of self-trend information and a set of peer trend information. 11. The method of claim 1 wherein generating a current entity-specific risk profile further comprises:
a. automatically analyzing by a computer a set of linguistic characteristics of a set of information associated with an entity;
b. based upon the step of automatically analyzing, automatically generating by the computer the current entity-specific risk profile (“ERP”) associated with the entity, the current entity-specific risk profile comprising a first risk component and a second risk component; and
c. storing the current entity-specific risk profile in the memory. 12. The method of claim 11, wherein automatically analyzing a set of linguistic characteristics comprises identifying a set of entity-specific risks based at least in part on a set of risk-indicating patterns associated with a corpus of documents. 13. The method of claim 11, wherein automatically analyzing a set of linguistic characteristics comprises identifying a set of entity-specific risks by using a risk-identification-algorithm. 14. The method of claim 11, wherein automatically analyzing a set of linguistic characteristics of a set of information associated with an entity includes applying a risk-based taxonomy. 15. A computer based system comprising:
a processor adapted to execute code; a memory for storing executable code; an ERP generating set of code when executed by the processor adapted to generate a current entity-specific risk profile; a risk difference set of code when executed by the processor adapted to determine a risk difference between a historical risk profile and the current entity-specific risk profile; a predictive set of code when executed by the processor adapted to predict a movement of a price of a security associated with an entity based upon the risk difference, the entity being the entity for which the current entity-specific risk profile was generated; and an output adapted to electronically transmit a signal related to the predicted movement. 16. The system of claim 15 wherein the movement is either up or down and the security is a share of stock in the entity. 17. The system of claim 15 wherein the risk difference set of code further comprises code adapted to determine a second risk difference, the second risk difference being between a historical entity-specific risk profile and a second historical risk profile; and wherein the predictive set of code further comprises code adapted to predict a second movement of the price of the security associated with the entity based upon a historical entity-specific risk profile price and a second historical risk profile price, the historical entity-specific risk profile price being the price of the security at a time associated with the historical entity-specific risk profile and the second historical risk profile price being the price of the security at a different time associated with the second historical risk profile. 18. The system of claim 17 wherein the movement is also associated with an absolute value. 19. The system of claim 18 wherein the absolute value is based upon the second movement. 20. The system of claim 15 further comprising an alert set of code when executed by the processor adapted to:
a. determine from a database a set of users interested in the entity; and
b. generate a message comprising the movement, the message being addressed to the set of users. 21. The system of claim 15 wherein the historical risk profile is related to the entity. 22. The system of claim 15 wherein the historical risk profile is related to an industry of the entity. 23. The system of claim 15 wherein the current entity-specific risk profile comprises:
a. an operational risk indicator;
b. a legal risk indicator;
c. a markets risk indicator;
d. a financial risk indicator;
e. a set of idiosyncratic risk information; and
f. a set of trend information. 24. The system of claim 23 wherein the set of trend information comprises a set of self-trend information and a set of peer trend information. 25. The system of claim 15 wherein the ERP generating set of code further comprises code adapted to:
a. automatically analyze a set of linguistic characteristics of a set of information associated with an entity;
b. automatically generate the current entity-specific risk profile (“ERP”) associated with the entity, the current entity-specific risk profile comprising a first risk component and a second risk component; and
c. store the current entity-specific risk profile in the memory. 26. The system of claim 25, wherein the ERP generating set of code further comprises code adapted to identify a set of entity-specific risks based at least in part on a set of risk-indicating patterns associated with a corpus of documents. 27. The system of claim 25, wherein the ERP generating set of code further comprises code adapted to identify a set of entity-specific risks by using a risk-identification-algorithm. 28. The system of claim 25, wherein the ERP generating set of code further comprises code adapted to apply a risk-based taxonomy. | A computer implemented method for mining risks includes providing a set of risk-indicating patterns on a computing device; querying a corpus using the computing device to identify a set of potential risks by using a risk-identification-algorithm based, at least in part, on the set of risk-indicating patterns associated with the corpus; comparing the set of potential risks with the risk-indicating patterns to obtain a set of prerequisite risks; generating a signal representative of the set of prerequisite risks; storing the signal representative of the set of prerequisite risks in an electronic memory; aggregating potential risks linked to an entity to an entity risk profile (ERP); and predicting a movement in a security associated with an entity.1. A computer implemented automated method comprising:
a. generating a current entity-specific risk profile; b. determining a risk difference between a historical risk profile and the current entity-specific risk profile; c. based upon the risk difference, predicting a movement of a price of a security associated with an entity, the entity being the entity for which the current entity-specific risk profile was generated; and d. electronically transmitting the movement. 2. The method of claim 1 wherein the movement is either up or down and the security is a share of stock in the entity. 3. The method of claim 1 wherein the step of predicting is further based upon:
a. a second risk difference, the second risk difference being between a historical entity-specific risk profile and a second historical risk profile; and
b. a second movement of the price of the security associated with the entity based upon a historical entity-specific risk profile price and a second historical risk profile price, the historical entity-specific risk profile price being the price of the security at a time associated with the historical entity-specific risk profile and the second historical risk profile price being the price of the security at a different time associated with the second historical risk profile. 4. The method of claim 3 wherein the movement is also associated with an absolute value. 5. The method of claim 4 wherein the absolute value is based upon the second movement. 6. The method of claim 5 wherein the step of electronically transmitting further comprises:
a. determining from a database a set of users interested in the entity; and
b. generating a message comprising the movement, the message being addressed to the set of users. 7. The method of claim 1 wherein the historical risk profile is related to the entity. 8. The method of claim 1 wherein the historical risk profile is related to an industry of the entity. 9. The method of claim 1 wherein the current entity-specific risk profile comprises:
a. an operational risk indicator;
b. a legal risk indicator;
c. a markets risk indicator;
d. a financial risk indicator;
e. a set of idiosyncratic risk information; and
f. a set of trend information. 10. The method of claim 9 wherein the set of trend information comprises a set of self-trend information and a set of peer trend information. 11. The method of claim 1 wherein generating a current entity-specific risk profile further comprises:
a. automatically analyzing by a computer a set of linguistic characteristics of a set of information associated with an entity;
b. based upon the step of automatically analyzing, automatically generating by the computer the current entity-specific risk profile (“ERP”) associated with the entity, the current entity-specific risk profile comprising a first risk component and a second risk component; and
c. storing the current entity-specific risk profile in the memory. 12. The method of claim 11, wherein automatically analyzing a set of linguistic characteristics comprises identifying a set of entity-specific risks based at least in part on a set of risk-indicating patterns associated with a corpus of documents. 13. The method of claim 11, wherein automatically analyzing a set of linguistic characteristics comprises identifying a set of entity-specific risks by using a risk-identification-algorithm. 14. The method of claim 11, wherein automatically analyzing a set of linguistic characteristics of a set of information associated with an entity includes applying a risk-based taxonomy. 15. A computer based system comprising:
a processor adapted to execute code; a memory for storing executable code; an ERP generating set of code when executed by the processor adapted to generate a current entity-specific risk profile; a risk difference set of code when executed by the processor adapted to determine a risk difference between a historical risk profile and the current entity-specific risk profile; a predictive set of code when executed by the processor adapted to predict a movement of a price of a security associated with an entity based upon the risk difference, the entity being the entity for which the current entity-specific risk profile was generated; and an output adapted to electronically transmit a signal related to the predicted movement. 16. The system of claim 15 wherein the movement is either up or down and the security is a share of stock in the entity. 17. The system of claim 15 wherein the risk difference set of code further comprises code adapted to determine a second risk difference, the second risk difference being between a historical entity-specific risk profile and a second historical risk profile; and wherein the predictive set of code further comprises code adapted to predict a second movement of the price of the security associated with the entity based upon a historical entity-specific risk profile price and a second historical risk profile price, the historical entity-specific risk profile price being the price of the security at a time associated with the historical entity-specific risk profile and the second historical risk profile price being the price of the security at a different time associated with the second historical risk profile. 18. The system of claim 17 wherein the movement is also associated with an absolute value. 19. The system of claim 18 wherein the absolute value is based upon the second movement. 20. The system of claim 15 further comprising an alert set of code when executed by the processor adapted to:
a. determine from a database a set of users interested in the entity; and
b. generate a message comprising the movement, the message being addressed to the set of users. 21. The system of claim 15 wherein the historical risk profile is related to the entity. 22. The system of claim 15 wherein the historical risk profile is related to an industry of the entity. 23. The system of claim 15 wherein the current entity-specific risk profile comprises:
a. an operational risk indicator;
b. a legal risk indicator;
c. a markets risk indicator;
d. a financial risk indicator;
e. a set of idiosyncratic risk information; and
f. a set of trend information. 24. The system of claim 23 wherein the set of trend information comprises a set of self-trend information and a set of peer trend information. 25. The system of claim 15 wherein the ERP generating set of code further comprises code adapted to:
a. automatically analyze a set of linguistic characteristics of a set of information associated with an entity;
b. automatically generate the current entity-specific risk profile (“ERP”) associated with the entity, the current entity-specific risk profile comprising a first risk component and a second risk component; and
c. store the current entity-specific risk profile in the memory. 26. The system of claim 25, wherein the ERP generating set of code further comprises code adapted to identify a set of entity-specific risks based at least in part on a set of risk-indicating patterns associated with a corpus of documents. 27. The system of claim 25, wherein the ERP generating set of code further comprises code adapted to identify a set of entity-specific risks by using a risk-identification-algorithm. 28. The system of claim 25, wherein the ERP generating set of code further comprises code adapted to apply a risk-based taxonomy. | 3,600 |
13,687 | 13,687 | 14,078,184 | 3,623 | The methods, apparatus, and systems described herein provide weighted promoter scores (WPS) for customers that have increased precision and/or accuracy compared to a traditional NPS®. The methods include receiving a communication between an agent and a customer, extracting a data attribute from the communication including personality type of the customer, inputting the personality type into an algorithm trained to output a WPS, and outputting a WPS for the customer. | 1. A system for providing a weighted promoter score (WPS), comprising:
a node comprising a processor and a non-transitory computer readable medium operably coupled thereto, the non-transitory computer readable medium comprising a plurality of instructions stored in association therewith that are accessible to, and executable by, the processor, where the plurality of instructions comprises:
instructions that, when executed, receive a communication between an agent and a customer;
instructions that, when executed, determine personality type of the customer; and
instructions that, when executed, output a WPS of the customer based on the personality type. 2. The system of claim 1, wherein the customer has not taken a WPS survey related to the communication. 3. The system of claim 1, further comprising instructions that, when executed, use at least one other data attribute of the communication as additional input with the personality type to output the WPS of the customer. 4. The system of claim 3, wherein the other data attributes comprise distress level, life events, engagement, state of mind, distress, and purpose of contact/task, demographic data, likelihood of purchase, empathy, motivation, contact time, openness, likelihood of attrition/account closure, customer satisfaction, or any combination thereof. 5. The system of claim 1, further comprising instructions that, when executed, aggregate outputted WPSs for one or more individual agents, one or more companies, or any combination thereof. 6. The system of claim 1, further comprising instructions that, when executed, route the communication to an agent proficient in handling customers with the outputted WPS. 7. The system of claim 1, further comprising instructions that, when executed, train an agent using the outputted WPS. 8. A method for providing a weighted promoter score (WPS) of a customer, which comprises:
receiving, by one or more processors, a communication between an agent and a customer; extracting, by one or more processors, a data attribute from the communication, including personality type of the customer; inputting, by one or more processors, the personality type into an algorithm trained to output a WPS; and outputting a WPS for the customer. 9. The method of claim 8, wherein the customer has not taken a WPS survey related to the communication. 10. The method of claim 8, which further comprises inputting at least one other data attribute into the algorithm to output the WPS of the customer. 11. The method of claim 9, wherein the other data attributes comprise distress level, life events, engagement, state of mind, distress, and purpose of contact/task, demographic data, likelihood of purchase, empathy, motivation, contact time, openness, likelihood of attrition/account closure, customer satisfaction, or any combination thereof. 12. The method of claim 8, which further comprises aggregating a plurality of outputted WPSs for one or more individual agents, one or more companies, or any combination thereof. 13. The method of claim 8, which further comprises routing the communication to an agent proficient in handling customers with the outputted WPS. 14. The method of claim 8, which further comprises training an agent using the outputted WPS. 15. A non-transitory computer readable medium comprising a plurality of instructions comprising:
instructions that, when executed, receive a communication between an agent and a customer; instructions that, when executed, retrieve or predict the personality type of the customer; instructions that, when executed, extract a data attribute from the communication; and instructions that, when executed, output a weighted promoter score (WPS) of the customer based on the personality type and other data attributes of the communication. 16. The non-transitory computer readable medium of claim 15, wherein the customer has not taken a WPS survey related to the communication. 17. The non-transitory computer readable medium of claim 15, wherein the data attribute comprises distress level, life events, engagement, state of mind, distress, and purpose of contact/task, demographic data, likelihood of purchase, empathy, motivation, contact time, openness, likelihood of attrition/account closure, customer satisfaction, or any combination thereof. 18. The non-transitory computer readable medium of claim 15, further comprising instructions that, when executed, aggregate outputted WPS for one or more individual agents, one or more companies, or any combination thereof. 19. The non-transitory computer readable medium of claim 15, further comprising instructions that, when executed, route the communication to an agent proficient in handling customers with the outputted WPS. 20. The non-transitory computer readable medium of claim 15, further comprising instruction that, when executed, train an agent using the outputted WPS. 21. The non-transitory computer readable medium of claim 15 wherein the instructions that, when executed retrieve or predict the personality type of the customer are configured to apply a linguistic-based psychological behavioral model to the communication. 22. A method for providing a weighted promoter score (WPS) of a customer, which comprises:
recording, by one or more processors, a telephonic interaction between an agent and a customer; extracting, by one or more processors, a plurality of data attributes, including personality type of the customer, from the telephonic interaction; inputting, by one or more processors, the plurality of data attributes into an algorithm trained to output a WPS; and outputting, by one or more processors, the WPS for the customer. 23. The method of claim 22, wherein the plurality of data attributes relate to emotional state, in transition or past details, demographic data, or a combination thereof. 24. The method of claim 23, wherein the plurality of data attributes that relate to emotional state comprises distress level, life events, engagement, state of mind, distress, empathy, motivation, openness, or a combination thereof; the plurality of data attributes that relate to in transition or past details comprises purpose of contact/task, contact time, likelihood of purchase, likelihood of attrition/account closure, customer satisfaction, or a combination thereof; and the plurality of data attributes that related to demographic data comprise race, age, education, accent, income, nationality, ethnicity, area code, zip code, marital status, job status, credit score, gender, or a combination thereof. 25. The method of claim 22, which further comprises aggregating a plurality of outputted WPSs for one or more individual agents, one or more companies, or any combination thereof. 26. The method of claim 22, which further comprises routing the communication to an agent proficient in handling customers predicted to a matching type of WPS. 27. The method of claim 22, which further comprises training an agent using one or more outputted WPS values. 28. The system of claim 1, wherein the instructions that, when executed, determine personality type of the customer are configured to apply a linguistic algorithm to the communication. 29. The method of claim 8, wherein the personality type inputted into an algorithm is determined by applying a linguistic algorithm to the communication. 30. The method of claim 22, wherein the extracting, by one or more processors, of a plurality of data attributes, including personality type of the customer, from the telephonic interaction is configured to apply a linguistic algorithm to the communication. | The methods, apparatus, and systems described herein provide weighted promoter scores (WPS) for customers that have increased precision and/or accuracy compared to a traditional NPS®. The methods include receiving a communication between an agent and a customer, extracting a data attribute from the communication including personality type of the customer, inputting the personality type into an algorithm trained to output a WPS, and outputting a WPS for the customer.1. A system for providing a weighted promoter score (WPS), comprising:
a node comprising a processor and a non-transitory computer readable medium operably coupled thereto, the non-transitory computer readable medium comprising a plurality of instructions stored in association therewith that are accessible to, and executable by, the processor, where the plurality of instructions comprises:
instructions that, when executed, receive a communication between an agent and a customer;
instructions that, when executed, determine personality type of the customer; and
instructions that, when executed, output a WPS of the customer based on the personality type. 2. The system of claim 1, wherein the customer has not taken a WPS survey related to the communication. 3. The system of claim 1, further comprising instructions that, when executed, use at least one other data attribute of the communication as additional input with the personality type to output the WPS of the customer. 4. The system of claim 3, wherein the other data attributes comprise distress level, life events, engagement, state of mind, distress, and purpose of contact/task, demographic data, likelihood of purchase, empathy, motivation, contact time, openness, likelihood of attrition/account closure, customer satisfaction, or any combination thereof. 5. The system of claim 1, further comprising instructions that, when executed, aggregate outputted WPSs for one or more individual agents, one or more companies, or any combination thereof. 6. The system of claim 1, further comprising instructions that, when executed, route the communication to an agent proficient in handling customers with the outputted WPS. 7. The system of claim 1, further comprising instructions that, when executed, train an agent using the outputted WPS. 8. A method for providing a weighted promoter score (WPS) of a customer, which comprises:
receiving, by one or more processors, a communication between an agent and a customer; extracting, by one or more processors, a data attribute from the communication, including personality type of the customer; inputting, by one or more processors, the personality type into an algorithm trained to output a WPS; and outputting a WPS for the customer. 9. The method of claim 8, wherein the customer has not taken a WPS survey related to the communication. 10. The method of claim 8, which further comprises inputting at least one other data attribute into the algorithm to output the WPS of the customer. 11. The method of claim 9, wherein the other data attributes comprise distress level, life events, engagement, state of mind, distress, and purpose of contact/task, demographic data, likelihood of purchase, empathy, motivation, contact time, openness, likelihood of attrition/account closure, customer satisfaction, or any combination thereof. 12. The method of claim 8, which further comprises aggregating a plurality of outputted WPSs for one or more individual agents, one or more companies, or any combination thereof. 13. The method of claim 8, which further comprises routing the communication to an agent proficient in handling customers with the outputted WPS. 14. The method of claim 8, which further comprises training an agent using the outputted WPS. 15. A non-transitory computer readable medium comprising a plurality of instructions comprising:
instructions that, when executed, receive a communication between an agent and a customer; instructions that, when executed, retrieve or predict the personality type of the customer; instructions that, when executed, extract a data attribute from the communication; and instructions that, when executed, output a weighted promoter score (WPS) of the customer based on the personality type and other data attributes of the communication. 16. The non-transitory computer readable medium of claim 15, wherein the customer has not taken a WPS survey related to the communication. 17. The non-transitory computer readable medium of claim 15, wherein the data attribute comprises distress level, life events, engagement, state of mind, distress, and purpose of contact/task, demographic data, likelihood of purchase, empathy, motivation, contact time, openness, likelihood of attrition/account closure, customer satisfaction, or any combination thereof. 18. The non-transitory computer readable medium of claim 15, further comprising instructions that, when executed, aggregate outputted WPS for one or more individual agents, one or more companies, or any combination thereof. 19. The non-transitory computer readable medium of claim 15, further comprising instructions that, when executed, route the communication to an agent proficient in handling customers with the outputted WPS. 20. The non-transitory computer readable medium of claim 15, further comprising instruction that, when executed, train an agent using the outputted WPS. 21. The non-transitory computer readable medium of claim 15 wherein the instructions that, when executed retrieve or predict the personality type of the customer are configured to apply a linguistic-based psychological behavioral model to the communication. 22. A method for providing a weighted promoter score (WPS) of a customer, which comprises:
recording, by one or more processors, a telephonic interaction between an agent and a customer; extracting, by one or more processors, a plurality of data attributes, including personality type of the customer, from the telephonic interaction; inputting, by one or more processors, the plurality of data attributes into an algorithm trained to output a WPS; and outputting, by one or more processors, the WPS for the customer. 23. The method of claim 22, wherein the plurality of data attributes relate to emotional state, in transition or past details, demographic data, or a combination thereof. 24. The method of claim 23, wherein the plurality of data attributes that relate to emotional state comprises distress level, life events, engagement, state of mind, distress, empathy, motivation, openness, or a combination thereof; the plurality of data attributes that relate to in transition or past details comprises purpose of contact/task, contact time, likelihood of purchase, likelihood of attrition/account closure, customer satisfaction, or a combination thereof; and the plurality of data attributes that related to demographic data comprise race, age, education, accent, income, nationality, ethnicity, area code, zip code, marital status, job status, credit score, gender, or a combination thereof. 25. The method of claim 22, which further comprises aggregating a plurality of outputted WPSs for one or more individual agents, one or more companies, or any combination thereof. 26. The method of claim 22, which further comprises routing the communication to an agent proficient in handling customers predicted to a matching type of WPS. 27. The method of claim 22, which further comprises training an agent using one or more outputted WPS values. 28. The system of claim 1, wherein the instructions that, when executed, determine personality type of the customer are configured to apply a linguistic algorithm to the communication. 29. The method of claim 8, wherein the personality type inputted into an algorithm is determined by applying a linguistic algorithm to the communication. 30. The method of claim 22, wherein the extracting, by one or more processors, of a plurality of data attributes, including personality type of the customer, from the telephonic interaction is configured to apply a linguistic algorithm to the communication. | 3,600 |
13,688 | 13,688 | 13,444,650 | 3,626 | Techniques for routing event data from a field device, such as an external defibrillator, to a selected subset of a plurality of possible destinations are described. The event data may include physiological data of the patient, such as a 12-lead electrocardiogram (ECG). The destinations may be associated with one of a plurality of patient treatment centers, and may include, as examples, computing device, printers, displays, personal digital assistants, or web-accessible accounts. In some examples, a server maintains user-configurable information or rules for at least some of the destinations, and uses the information or rules for determining whether event data received from a field device is routed to the destination. In some examples, the server may also make the routing determination based on an analysis of event data, such as a determination as to whether the event data indicates that the patient is suspected to be experiencing an acute myocardial infarction. | 1. A method comprising:
identifying at least one emergency medical service (EMS) and a plurality of patient treatment centers within a geographical region; forming a regional patient treatment network comprising the EMS and the patient treatment centers; receiving subscriptions from the EMS and the patient treatment centers to a patient data communication service for the regional patient treatment network; and routing patient data between devices associated with the EMS and devices associated with the patient treatment centers with a server based at least in part on user-configurable information stored within the server and an analysis of physiological data included within the patient data. | Techniques for routing event data from a field device, such as an external defibrillator, to a selected subset of a plurality of possible destinations are described. The event data may include physiological data of the patient, such as a 12-lead electrocardiogram (ECG). The destinations may be associated with one of a plurality of patient treatment centers, and may include, as examples, computing device, printers, displays, personal digital assistants, or web-accessible accounts. In some examples, a server maintains user-configurable information or rules for at least some of the destinations, and uses the information or rules for determining whether event data received from a field device is routed to the destination. In some examples, the server may also make the routing determination based on an analysis of event data, such as a determination as to whether the event data indicates that the patient is suspected to be experiencing an acute myocardial infarction.1. A method comprising:
identifying at least one emergency medical service (EMS) and a plurality of patient treatment centers within a geographical region; forming a regional patient treatment network comprising the EMS and the patient treatment centers; receiving subscriptions from the EMS and the patient treatment centers to a patient data communication service for the regional patient treatment network; and routing patient data between devices associated with the EMS and devices associated with the patient treatment centers with a server based at least in part on user-configurable information stored within the server and an analysis of physiological data included within the patient data. | 3,600 |
13,689 | 13,689 | 14,283,749 | 3,668 | A robot is moved along a first continuous programmed path with a robot controller executing a learning path control program without performing an operation on a workpiece. The actual movement of the robot along the first continuous programmed path is recorded. The first continuous programmed path is adjusted to create a second programmed path. The robot is moved along the second continuous programmed with the robot controller executing the learning path control program without performing the operation on the workpiece. The actual movement of the robot along the second continuous programmed path is recorded. Traces of the recorded actual movements of the robot along the first continuous programmed path and the second continuous programmed path are displayed. | 1. A method for controlling a robot, comprising:
running a user program to cause the robot to move along a first continuous programmed path to generate a first trace representative of an actual tool center point position; computing a path deviation between the first continuous programmed path and the first trace; adjusting the user program by the amount of computed path deviation to create a compensated user program; storing the first trace representative of an actual tool center point position in a memory device; running the compensated user program to cause the robot to move along a second continuous programmed path to generate a second trace representative of an actual tool center point position; and displaying the first trace and the second trace. 2. The method of claim 1, wherein the user is permitted to select as a desired continuous path of one of the first trace and the second trace. 3. The method of claim 6, wherein the operator selects an acceptable desired continuous path from a plurality of traces. 4. The method of claim 1, further comprising the step of:
allowing an operator to cause the steps of
adjusting the user program by the amount of computed path deviation to create a compensated user program; and
running the compensated user program to cause the robot to move along a second continuous programmed path to generate a second trace representative of an actual tool center point position
to repeat until the operator selects an acceptable desired continuous path. 5. The method of claim 1, wherein the first continuous programmed path is a standard geometric shape. 6. The method of claim 1, wherein the first continuous programmed path is defined by CAD data. 7. The method of claim 1, wherein at least one of the first trace and the second trace further includes a display of a desired continuous path. 8. The method of claim 1, wherein the user program adjusting step automatically adjusts one of process speed, tolerance, and orientation. 9. A method for controlling a robot comprising the steps of:
moving a robot along a first continuous programmed path with a robot controller executing a learning path control program, the robot moved without performing an operation on a workpiece; recording the actual movement of the robot along the first continuous programmed path; iteratively adjusting the first continuous programmed path to create a one or more modified continuous programmed paths; moving the robot along the one or more modified continuous programmed paths with the robot controller executing the learning path control program, the robot moved without performing the operation on the workpiece; recording the actual movement of the robot along the one or more modified continuous programmed paths; displaying a plurality of traces of the recorded actual movements of the robot along the first continuous programmed path and the one or more modified continuous programmed path; permitting an operator to select as a desired continuous path one of the plurality of traces of the first programmed continuous path and the one or more modified continuous programmed paths; and moving the robot along the desired continuous path with the robot controller, the robot moved while performing the operation on the workpiece. 10. The method of claim 9, wherein the first continuous programmed path is a standard geometric shape. 11. The method of claim 9, wherein the first continuous programmed path is defined by CAD data. 12. The method of claim 9, wherein at least one of displayed traces further includes a display of a desired continuous path. 13. The method of claim 9, wherein the user program adjusting step automatically adjusts one of process speed, tolerance, and orientation. | A robot is moved along a first continuous programmed path with a robot controller executing a learning path control program without performing an operation on a workpiece. The actual movement of the robot along the first continuous programmed path is recorded. The first continuous programmed path is adjusted to create a second programmed path. The robot is moved along the second continuous programmed with the robot controller executing the learning path control program without performing the operation on the workpiece. The actual movement of the robot along the second continuous programmed path is recorded. Traces of the recorded actual movements of the robot along the first continuous programmed path and the second continuous programmed path are displayed.1. A method for controlling a robot, comprising:
running a user program to cause the robot to move along a first continuous programmed path to generate a first trace representative of an actual tool center point position; computing a path deviation between the first continuous programmed path and the first trace; adjusting the user program by the amount of computed path deviation to create a compensated user program; storing the first trace representative of an actual tool center point position in a memory device; running the compensated user program to cause the robot to move along a second continuous programmed path to generate a second trace representative of an actual tool center point position; and displaying the first trace and the second trace. 2. The method of claim 1, wherein the user is permitted to select as a desired continuous path of one of the first trace and the second trace. 3. The method of claim 6, wherein the operator selects an acceptable desired continuous path from a plurality of traces. 4. The method of claim 1, further comprising the step of:
allowing an operator to cause the steps of
adjusting the user program by the amount of computed path deviation to create a compensated user program; and
running the compensated user program to cause the robot to move along a second continuous programmed path to generate a second trace representative of an actual tool center point position
to repeat until the operator selects an acceptable desired continuous path. 5. The method of claim 1, wherein the first continuous programmed path is a standard geometric shape. 6. The method of claim 1, wherein the first continuous programmed path is defined by CAD data. 7. The method of claim 1, wherein at least one of the first trace and the second trace further includes a display of a desired continuous path. 8. The method of claim 1, wherein the user program adjusting step automatically adjusts one of process speed, tolerance, and orientation. 9. A method for controlling a robot comprising the steps of:
moving a robot along a first continuous programmed path with a robot controller executing a learning path control program, the robot moved without performing an operation on a workpiece; recording the actual movement of the robot along the first continuous programmed path; iteratively adjusting the first continuous programmed path to create a one or more modified continuous programmed paths; moving the robot along the one or more modified continuous programmed paths with the robot controller executing the learning path control program, the robot moved without performing the operation on the workpiece; recording the actual movement of the robot along the one or more modified continuous programmed paths; displaying a plurality of traces of the recorded actual movements of the robot along the first continuous programmed path and the one or more modified continuous programmed path; permitting an operator to select as a desired continuous path one of the plurality of traces of the first programmed continuous path and the one or more modified continuous programmed paths; and moving the robot along the desired continuous path with the robot controller, the robot moved while performing the operation on the workpiece. 10. The method of claim 9, wherein the first continuous programmed path is a standard geometric shape. 11. The method of claim 9, wherein the first continuous programmed path is defined by CAD data. 12. The method of claim 9, wherein at least one of displayed traces further includes a display of a desired continuous path. 13. The method of claim 9, wherein the user program adjusting step automatically adjusts one of process speed, tolerance, and orientation. | 3,600 |
13,690 | 13,690 | 14,584,284 | 3,649 | A method and apparatus for processing mail is provided. A feeder serially feeds envelope from a stack of mail. Two cutters at a cutting station cuts one or two edges of the envelopes. As the envelopes travel from the feeder to the cutters the envelope is jogged on two edges to justify the contents with the envelopes. Additionally, an improved feeder is provided to reduce the number of jams created when feeding the envelopes from the stack. | 1. An apparatus for feeding documents, comprising:
an input bin for receiving a stack of documents in a generally vertical orientation; a feeder for feeding documents from the stack of documents in the input bin; a pusher configured to drive the stack of envelopes in the input bin forwardly toward a feeder; a first sensor configured to sense the pressure of the stack against the feeder; a second sensor configured to sense that a document has been fed by the feeder a controller configured to control the feeder and the pusher in response to signals from the first and second sensors; wherein the controller actuates the feeder to feed a document from the input bin in response to a signal from the first sensor indicating that the pressure of the stack against the feeder is within a predetermined range; wherein the controller drives the pusher away from the feeder in response to a signal from the second sensor indicating that a document was not fed from the stack after the feeder was actuated, wherein the controller then drives the pusher toward the feeder to attempt to feed the document a second time. 2. The apparatus of claim 1 wherein the first sensor is positioned adjacent the feeder. 3. The apparatus of claim 2 wherein the second sensor is positioned downstream from the feeder. 4. The apparatus of claim 1 comprising a tilt sensor, wherein the document in the stack of documents that is closest to the feeder is the lead document, wherein the tilt sensor detects whether the angle of the lead document relative to vertical is within a predetermined range. 5. The apparatus of claim 4 wherein the controller is configured to iteratively drive the pusher toward and away from the feeder in response to signals from the first sensor, the second sensor and the tilt sensor to attempt to automatically clear a jam. 6. The apparatus of claim 1 wherein the feeder comprises a pivotable arm biased toward the stack of documents and wherein the first sensor detects the pressure of the stack of mail against the feeder by sensing the pivoting displacement of the feeder. 7. The apparatus of claim 1 comprising a motor for selectively driving the pusher, wherein the controller controls the pusher by controlling the operation of the motor; wherein in response to the first sensor detecting a pressure below a threshold, the controller actuates the motor to drive the pusher forwardly. 8. The apparatus of claim 7 wherein in response to the first sensor detecting a pressure above a threshold, the controller actuates the motor to drive the pusher rearwardly away from the feeder. 9. The apparatus of claim 1 wherein if the second sensor does not detect the presence of a document after actuating the feeder to attempt to feed a document from the stack, the controller is configured so the controller drives the pusher forwardly if the first sensor detects that the pressure is within a predetermined range. 10. A method for feeding envelopes containing contents, comprising the steps of:
stacking a plurality of envelopes containing contents in an input bin to form a stack of envelopes in which the envelopes are in a generally vertical orientation; displacing the stack toward a feeder; sensing the pressure of the stack against the feeder; driving the feeder to attempt to feed an envelope from the stack; detecting whether the feeder fed the envelope from the stack; iteratively driving the stack toward and away from the feeder and driving the feeder to attempt to feed the envelope in response to the sensed pressure of the stack against the feeder and detecting that the feeder has not fed the envelope from the stack. 11. The method of claim 10 comprising the step of detecting the angular orientation of the front of the stack adjacent the feeder. 12. The method of claim 11 wherein the step of iteratively driving the toward the feeder is in response to the detected angular orientation of the front of the stack. 13. The method of claim 12 wherein the step of iteratively driving the away from the feeder is in response to the detected angular orientation of the front of the stack. 14. An apparatus for feeding envelopes containing contents, comprising:
an input bin configured to receive a stack of envelopes containing contents; a feeder for feeding an envelope from the stack of envelopes; a pusher configured to displace the stack toward the feeder; a first sensor sensing the pressure of the stack against the feeder; a second sensor operable to detect whether the feeder feeds the envelope; a controller operable to control the feeder and the pusher in response to signals received from the first and second sensors, wherein the controller iteratively drives the pusher toward and away from the feeder and drives the feeder to attempt to feed the envelope in response to signals from the first and second sensors. 15. The apparatus of claim 14 wherein the stack comprises a front end adjacent the feeder and the apparatus comprises a third sensor operable to detect the angular orientation of the front end of the stack. 16. The apparatus of claim 15 wherein the controller is operable to iteratively drive the pusher toward and away from the feeder in response to the detected angular orientation of the front of the stack. 17. The apparatus of claim 15 wherein the controller iteratively drives the stack toward and away from the feeder in response to signals from the third sensor. | A method and apparatus for processing mail is provided. A feeder serially feeds envelope from a stack of mail. Two cutters at a cutting station cuts one or two edges of the envelopes. As the envelopes travel from the feeder to the cutters the envelope is jogged on two edges to justify the contents with the envelopes. Additionally, an improved feeder is provided to reduce the number of jams created when feeding the envelopes from the stack.1. An apparatus for feeding documents, comprising:
an input bin for receiving a stack of documents in a generally vertical orientation; a feeder for feeding documents from the stack of documents in the input bin; a pusher configured to drive the stack of envelopes in the input bin forwardly toward a feeder; a first sensor configured to sense the pressure of the stack against the feeder; a second sensor configured to sense that a document has been fed by the feeder a controller configured to control the feeder and the pusher in response to signals from the first and second sensors; wherein the controller actuates the feeder to feed a document from the input bin in response to a signal from the first sensor indicating that the pressure of the stack against the feeder is within a predetermined range; wherein the controller drives the pusher away from the feeder in response to a signal from the second sensor indicating that a document was not fed from the stack after the feeder was actuated, wherein the controller then drives the pusher toward the feeder to attempt to feed the document a second time. 2. The apparatus of claim 1 wherein the first sensor is positioned adjacent the feeder. 3. The apparatus of claim 2 wherein the second sensor is positioned downstream from the feeder. 4. The apparatus of claim 1 comprising a tilt sensor, wherein the document in the stack of documents that is closest to the feeder is the lead document, wherein the tilt sensor detects whether the angle of the lead document relative to vertical is within a predetermined range. 5. The apparatus of claim 4 wherein the controller is configured to iteratively drive the pusher toward and away from the feeder in response to signals from the first sensor, the second sensor and the tilt sensor to attempt to automatically clear a jam. 6. The apparatus of claim 1 wherein the feeder comprises a pivotable arm biased toward the stack of documents and wherein the first sensor detects the pressure of the stack of mail against the feeder by sensing the pivoting displacement of the feeder. 7. The apparatus of claim 1 comprising a motor for selectively driving the pusher, wherein the controller controls the pusher by controlling the operation of the motor; wherein in response to the first sensor detecting a pressure below a threshold, the controller actuates the motor to drive the pusher forwardly. 8. The apparatus of claim 7 wherein in response to the first sensor detecting a pressure above a threshold, the controller actuates the motor to drive the pusher rearwardly away from the feeder. 9. The apparatus of claim 1 wherein if the second sensor does not detect the presence of a document after actuating the feeder to attempt to feed a document from the stack, the controller is configured so the controller drives the pusher forwardly if the first sensor detects that the pressure is within a predetermined range. 10. A method for feeding envelopes containing contents, comprising the steps of:
stacking a plurality of envelopes containing contents in an input bin to form a stack of envelopes in which the envelopes are in a generally vertical orientation; displacing the stack toward a feeder; sensing the pressure of the stack against the feeder; driving the feeder to attempt to feed an envelope from the stack; detecting whether the feeder fed the envelope from the stack; iteratively driving the stack toward and away from the feeder and driving the feeder to attempt to feed the envelope in response to the sensed pressure of the stack against the feeder and detecting that the feeder has not fed the envelope from the stack. 11. The method of claim 10 comprising the step of detecting the angular orientation of the front of the stack adjacent the feeder. 12. The method of claim 11 wherein the step of iteratively driving the toward the feeder is in response to the detected angular orientation of the front of the stack. 13. The method of claim 12 wherein the step of iteratively driving the away from the feeder is in response to the detected angular orientation of the front of the stack. 14. An apparatus for feeding envelopes containing contents, comprising:
an input bin configured to receive a stack of envelopes containing contents; a feeder for feeding an envelope from the stack of envelopes; a pusher configured to displace the stack toward the feeder; a first sensor sensing the pressure of the stack against the feeder; a second sensor operable to detect whether the feeder feeds the envelope; a controller operable to control the feeder and the pusher in response to signals received from the first and second sensors, wherein the controller iteratively drives the pusher toward and away from the feeder and drives the feeder to attempt to feed the envelope in response to signals from the first and second sensors. 15. The apparatus of claim 14 wherein the stack comprises a front end adjacent the feeder and the apparatus comprises a third sensor operable to detect the angular orientation of the front end of the stack. 16. The apparatus of claim 15 wherein the controller is operable to iteratively drive the pusher toward and away from the feeder in response to the detected angular orientation of the front of the stack. 17. The apparatus of claim 15 wherein the controller iteratively drives the stack toward and away from the feeder in response to signals from the third sensor. | 3,600 |
13,691 | 13,691 | 14,800,854 | 3,693 | An aircraft service bulletin analysis system is configured to provide an economic analysis of implementing one or more service bulletins regarding one or more aircraft. The aircraft service bulletin system may include one or more processors configured to retrieve aircraft data and service bulletin data, form a aggregated aircraft data file that includes the aircraft data and the service bulletin data, and generate an economic analysis based on one or more aircraft and implementing one or more service bulletins associated with the aircraft selected by a user. | 1. An aircraft service bulletin analysis system configured to provide an economic analysis of implementing one or more service bulletins regarding one or more aircraft, the aircraft service bulletin system comprising one or more processors configured to:
retrieve aircraft data and service bulletin data; form an aggregated aircraft data file that includes the aircraft data and the service bulletin data; and generate an economic analysis based on one or more aircraft and implementation of one or more service bulletins associated with the one or more aircraft selected by a user. 2. The aircraft service bulletin analysis system of claim 1, wherein the aircraft data comprises:
general aircraft data retrieved from a general aircraft database that is remote from the aircraft service bulletin analysis system; and specific aircraft data retrieved from a specific aircraft database that is remote from the aircraft service bulletin analysis system. 3. The aircraft service bulletin analysis system of claim 1, wherein the service bulletin data is retrieved from a service bulletin database that is remote from the aircraft service bulletin analysis system. 4. The aircraft service bulletin analysis system of claim 1, wherein the one or more processors are further configured to retrieve current cost information for the one or more service bulletins from a service cost database that is remote from the aircraft service bulletin analysis system. 5. The aircraft service bulletin analysis system of claim 1, further comprising at least one aircraft data unit that is configured to retrieve the aircraft data. 6. The aircraft service bulletin analysis system of claim 1, further comprising a service bulletin unit configured to retrieve the service bulletin data or form the aggregated aircraft data file. 7. The aircraft service bulletin analysis system of claim 1, further comprising an economic analysis unit configured to generate the economic analysis. 8. The aircraft service bulletin analysis system of claim 1, wherein the one or more processors are further configured to prompt a user to:
provide a project name; select an airline provider; select an aircraft model from a fleet of the airline provider; select a relevant analysis time period; and initiate a project after the project has been named, and the airline provider, aircraft model, and relevant analysis time period have been selected. 9. The aircraft service bulletin analysis system of claim 8, wherein the one or more processors are further configured to prompt the user to:
select one or more aircraft of the project; and select the one or more service bulletins associated with the selected aircraft of the project. 10. The aircraft service bulletin analysis system of claim 1, wherein the one or more processors are configured to generate the economic analysis by generating potential service bulletin information that indicates potential costs and benefits of implementing the one or more service bulletins over a time period. 11. An aircraft service bulletin analysis method comprising:
using a communication device to retrieve aircraft data and service bulletin data; automatically forming an aggregated aircraft data file that includes the aircraft data and the service bulletin data; and automatically generating an economic analysis based on one or more aircraft and implementation of one or more service bulletins associated with the one or more aircraft selected by a user. 12. The aircraft service bulletin analysis method of claim 11, wherein the using a communication device operation comprises:
retrieving general aircraft data from a general aircraft database that is remote from the aircraft service bulletin analysis system; and retrieving specific aircraft data from a specific aircraft database. 13. The aircraft service bulletin analysis method of claim 11, wherein the using a communication device operation comprises retrieving the service bulletin data from a service bulletin database that is remote from the aircraft service bulletin analysis system. 14. The aircraft service bulletin analysis method of claim 11, wherein the using a communication device operation further comprises retrieving current cost information for implementing the one or more service bulletins from a service cost database that is remote from the aircraft service bulletin analysis system. 15. The aircraft service bulletin analysis method of claim 11, further comprising prompting a user to provide a project name, select an airline provider, select an aircraft model from a fleet of the airline provider, select a relevant analysis time period, and initiate a project after the project has been named, and the airline provider, aircraft model, and relevant analysis time period have been selected. 16. The aircraft service bulletin analysis method of claim 15, further comprising prompting a user to select one or more aircraft of the project, and select the one or more service bulletins associated with the selected aircraft of the project. 17. The aircraft service bulletin analysis method of claim 11, wherein the automatically generating an economic analysis operation comprises generating potential service bulletin information that indicates potential costs and benefits of implementing the one or more service bulletins over a time period. 18. An aircraft service bulletin analysis system configured to provide an economic analysis of implementing one or more service bulletins regarding one or more aircraft, the aircraft service bulletin system comprising one or more processors configured to:
retrieve general aircraft data from a general aircraft database that is remote from the aircraft service bulletin analysis system; retrieve specific aircraft data from a specific aircraft database that is remote from the aircraft service bulletin analysis system; retrieve service bulletin data from a service bulletin database that is remote from the aircraft service bulletin analysis system; retrieve current cost information for implementing the one or more service bulletins from a service cost database that is remote from the aircraft service bulletin analysis system; form a complied aircraft data file that includes the general aircraft data, the specific air data, the service bulletin data, and the current cost information; prompt a user to provide a project name, select an airline provider, select an aircraft model from a fleet of the airline provider, select a relevant analysis time period, and initiate a project after the project has been named, and the airline provider, aircraft model, and relevant analysis time period have been selected; prompt the user to select one or more aircraft of the project, and select the one or more service bulletins associated with the selected aircraft of the project; and generate an economic analysis based on the one or more aircraft selected and implementation of the one or more service bulletins associated with the one or more aircraft selected. 19. The aircraft service bulletin analysis system of claim 18, further comprising:
at least one aircraft data unit that is configured to retrieve the general aircraft data and the specific aircraft data; a service bulletin unit configured to one or both of retrieve the service bulletin data and form the aggregated aircraft data file; and an economic analysis unit configured to generate the economic analysis. 20. The aircraft service bulletin analysis system of claim 18, wherein the one or more processors are configured to generate the economic analysis by generating potential service bulletin information that indicates potential costs and benefits of implementing the one or more service bulletins over a time period. | An aircraft service bulletin analysis system is configured to provide an economic analysis of implementing one or more service bulletins regarding one or more aircraft. The aircraft service bulletin system may include one or more processors configured to retrieve aircraft data and service bulletin data, form a aggregated aircraft data file that includes the aircraft data and the service bulletin data, and generate an economic analysis based on one or more aircraft and implementing one or more service bulletins associated with the aircraft selected by a user.1. An aircraft service bulletin analysis system configured to provide an economic analysis of implementing one or more service bulletins regarding one or more aircraft, the aircraft service bulletin system comprising one or more processors configured to:
retrieve aircraft data and service bulletin data; form an aggregated aircraft data file that includes the aircraft data and the service bulletin data; and generate an economic analysis based on one or more aircraft and implementation of one or more service bulletins associated with the one or more aircraft selected by a user. 2. The aircraft service bulletin analysis system of claim 1, wherein the aircraft data comprises:
general aircraft data retrieved from a general aircraft database that is remote from the aircraft service bulletin analysis system; and specific aircraft data retrieved from a specific aircraft database that is remote from the aircraft service bulletin analysis system. 3. The aircraft service bulletin analysis system of claim 1, wherein the service bulletin data is retrieved from a service bulletin database that is remote from the aircraft service bulletin analysis system. 4. The aircraft service bulletin analysis system of claim 1, wherein the one or more processors are further configured to retrieve current cost information for the one or more service bulletins from a service cost database that is remote from the aircraft service bulletin analysis system. 5. The aircraft service bulletin analysis system of claim 1, further comprising at least one aircraft data unit that is configured to retrieve the aircraft data. 6. The aircraft service bulletin analysis system of claim 1, further comprising a service bulletin unit configured to retrieve the service bulletin data or form the aggregated aircraft data file. 7. The aircraft service bulletin analysis system of claim 1, further comprising an economic analysis unit configured to generate the economic analysis. 8. The aircraft service bulletin analysis system of claim 1, wherein the one or more processors are further configured to prompt a user to:
provide a project name; select an airline provider; select an aircraft model from a fleet of the airline provider; select a relevant analysis time period; and initiate a project after the project has been named, and the airline provider, aircraft model, and relevant analysis time period have been selected. 9. The aircraft service bulletin analysis system of claim 8, wherein the one or more processors are further configured to prompt the user to:
select one or more aircraft of the project; and select the one or more service bulletins associated with the selected aircraft of the project. 10. The aircraft service bulletin analysis system of claim 1, wherein the one or more processors are configured to generate the economic analysis by generating potential service bulletin information that indicates potential costs and benefits of implementing the one or more service bulletins over a time period. 11. An aircraft service bulletin analysis method comprising:
using a communication device to retrieve aircraft data and service bulletin data; automatically forming an aggregated aircraft data file that includes the aircraft data and the service bulletin data; and automatically generating an economic analysis based on one or more aircraft and implementation of one or more service bulletins associated with the one or more aircraft selected by a user. 12. The aircraft service bulletin analysis method of claim 11, wherein the using a communication device operation comprises:
retrieving general aircraft data from a general aircraft database that is remote from the aircraft service bulletin analysis system; and retrieving specific aircraft data from a specific aircraft database. 13. The aircraft service bulletin analysis method of claim 11, wherein the using a communication device operation comprises retrieving the service bulletin data from a service bulletin database that is remote from the aircraft service bulletin analysis system. 14. The aircraft service bulletin analysis method of claim 11, wherein the using a communication device operation further comprises retrieving current cost information for implementing the one or more service bulletins from a service cost database that is remote from the aircraft service bulletin analysis system. 15. The aircraft service bulletin analysis method of claim 11, further comprising prompting a user to provide a project name, select an airline provider, select an aircraft model from a fleet of the airline provider, select a relevant analysis time period, and initiate a project after the project has been named, and the airline provider, aircraft model, and relevant analysis time period have been selected. 16. The aircraft service bulletin analysis method of claim 15, further comprising prompting a user to select one or more aircraft of the project, and select the one or more service bulletins associated with the selected aircraft of the project. 17. The aircraft service bulletin analysis method of claim 11, wherein the automatically generating an economic analysis operation comprises generating potential service bulletin information that indicates potential costs and benefits of implementing the one or more service bulletins over a time period. 18. An aircraft service bulletin analysis system configured to provide an economic analysis of implementing one or more service bulletins regarding one or more aircraft, the aircraft service bulletin system comprising one or more processors configured to:
retrieve general aircraft data from a general aircraft database that is remote from the aircraft service bulletin analysis system; retrieve specific aircraft data from a specific aircraft database that is remote from the aircraft service bulletin analysis system; retrieve service bulletin data from a service bulletin database that is remote from the aircraft service bulletin analysis system; retrieve current cost information for implementing the one or more service bulletins from a service cost database that is remote from the aircraft service bulletin analysis system; form a complied aircraft data file that includes the general aircraft data, the specific air data, the service bulletin data, and the current cost information; prompt a user to provide a project name, select an airline provider, select an aircraft model from a fleet of the airline provider, select a relevant analysis time period, and initiate a project after the project has been named, and the airline provider, aircraft model, and relevant analysis time period have been selected; prompt the user to select one or more aircraft of the project, and select the one or more service bulletins associated with the selected aircraft of the project; and generate an economic analysis based on the one or more aircraft selected and implementation of the one or more service bulletins associated with the one or more aircraft selected. 19. The aircraft service bulletin analysis system of claim 18, further comprising:
at least one aircraft data unit that is configured to retrieve the general aircraft data and the specific aircraft data; a service bulletin unit configured to one or both of retrieve the service bulletin data and form the aggregated aircraft data file; and an economic analysis unit configured to generate the economic analysis. 20. The aircraft service bulletin analysis system of claim 18, wherein the one or more processors are configured to generate the economic analysis by generating potential service bulletin information that indicates potential costs and benefits of implementing the one or more service bulletins over a time period. | 3,600 |
13,692 | 13,692 | 13,641,918 | 3,642 | A system and method for minimizing buffeting in the case of an aircraft. Buffeting load control elements are provided in airfoils of the aircraft are arranged to be at least partly moved out of the airfoils by a control to reduce buffeting loads acting on the aircraft. | 1-15. (canceled) 16. A system for minimizing buffeting in an aircraft, comprising buffeting load control elements located in airfoils of the aircraft which can be at least partly moved out of the airfoils by a control to reduce buffeting loads acting on the aircraft. 17. The system according to claim 16, including flight phase sensors for detecting different flight phases of the aircraft being provided on the aircraft. 18. The system according to claim 16, wherein one or more buffeting load control elements are provided in each case for a structural region of the aircraft structure, in which region a load acting thereon is almost constant. 19. The system according to claim 16, wherein the control comprises a memory which stores information for different flight phases during a flight operation of the aircraft for all buffeting load control elements of the aircraft concerning whether or not, for each control element, the respective buffeting load control element is to be moved out of the aerofoil of the aircraft during flight operation in the respective flight phase. 20. The system according to claim 16, wherein each buffeting load control element is actuatable between a first retracted position, a second middle, partly extended position and a third fully extended position. 21. The system according to claim 16, wherein the buffeting load control element is moved into a second middle, partly extended position when the respective buffeting load control element is to be moved out of the aerofoil in the current flight phase of the aircraft. 22. The system according to claim 16, including load sensors provided on the structural regions of the aircraft which detect a current load acting on the respective structural region during the flight operation of the aircraft, and wherein buffeting load control elements provided for the structural region are moved adaptively as a function of the detected load between a second middle, partly extended position and a third fully extended position to minimize the load currently acting by buffeting on the respective structural region. 23. The system according to claim 16, wherein the control includes a calculation unite which calculates degrees of extension for the buffeting load control elements in real time and moves the buffeting load control elements out of the airfoils according to the calculated degrees of extension to minimize buffeting-induced turbulence. 24. The system according to claim 23, wherein the calculation unit of the control further calculates amplitudes for control surfaces which are provided on the airfoils of the aircraft, and these control surfaces are adjusted statically or dynamically according to the calculated control surface amplitudes to minimize buffeting-induced vibrations. 25. The system according to claim 16, wherein the airfoils of the aircraft comprise wings and a tailplane and rudder unit of the aircraft. 26. The system according to claim 24, wherein the control surfaces are elevators on the tailplane of the aircraft. 27. The system according to claim 16, wherein calculated during a flight testing phase of the aircraft using a stochastic, non-linear dynamic model of the aircraft and sensorially detected buffeting characteristic quantities for each flight phase and for each structural region of the aircraft affected by buffeting is a probability that a predetermined limit load will be reached during the total operation period of the aircraft in the respective structural region of the aircraft. 28. The system according to claim 27, wherein as a function of the calculated probabilities, a buffeting load control element which reduces a buffeting load on a structural region of the aircraft, the calculated probability of which exceeds a predetermined probability threshold value, is stored as a buffeting load control element in the memory of the control means, which buffeting load control element is to be moved out of the aerofoil during normal flight operation of the aircraft. 29. A method for minimizing buffeting loads in the case of an aircraft comprising the steps:
reducing buffeting loads acting on the aircraft by: moving buffeting load control elements out of airfoils of the aircraft. 30. A buffeting load control element for an aircraft comprising an element which can be at least partly moved out of an aerofoil of the aircraft to reduce buffeting loads acting on the aircraft. | A system and method for minimizing buffeting in the case of an aircraft. Buffeting load control elements are provided in airfoils of the aircraft are arranged to be at least partly moved out of the airfoils by a control to reduce buffeting loads acting on the aircraft.1-15. (canceled) 16. A system for minimizing buffeting in an aircraft, comprising buffeting load control elements located in airfoils of the aircraft which can be at least partly moved out of the airfoils by a control to reduce buffeting loads acting on the aircraft. 17. The system according to claim 16, including flight phase sensors for detecting different flight phases of the aircraft being provided on the aircraft. 18. The system according to claim 16, wherein one or more buffeting load control elements are provided in each case for a structural region of the aircraft structure, in which region a load acting thereon is almost constant. 19. The system according to claim 16, wherein the control comprises a memory which stores information for different flight phases during a flight operation of the aircraft for all buffeting load control elements of the aircraft concerning whether or not, for each control element, the respective buffeting load control element is to be moved out of the aerofoil of the aircraft during flight operation in the respective flight phase. 20. The system according to claim 16, wherein each buffeting load control element is actuatable between a first retracted position, a second middle, partly extended position and a third fully extended position. 21. The system according to claim 16, wherein the buffeting load control element is moved into a second middle, partly extended position when the respective buffeting load control element is to be moved out of the aerofoil in the current flight phase of the aircraft. 22. The system according to claim 16, including load sensors provided on the structural regions of the aircraft which detect a current load acting on the respective structural region during the flight operation of the aircraft, and wherein buffeting load control elements provided for the structural region are moved adaptively as a function of the detected load between a second middle, partly extended position and a third fully extended position to minimize the load currently acting by buffeting on the respective structural region. 23. The system according to claim 16, wherein the control includes a calculation unite which calculates degrees of extension for the buffeting load control elements in real time and moves the buffeting load control elements out of the airfoils according to the calculated degrees of extension to minimize buffeting-induced turbulence. 24. The system according to claim 23, wherein the calculation unit of the control further calculates amplitudes for control surfaces which are provided on the airfoils of the aircraft, and these control surfaces are adjusted statically or dynamically according to the calculated control surface amplitudes to minimize buffeting-induced vibrations. 25. The system according to claim 16, wherein the airfoils of the aircraft comprise wings and a tailplane and rudder unit of the aircraft. 26. The system according to claim 24, wherein the control surfaces are elevators on the tailplane of the aircraft. 27. The system according to claim 16, wherein calculated during a flight testing phase of the aircraft using a stochastic, non-linear dynamic model of the aircraft and sensorially detected buffeting characteristic quantities for each flight phase and for each structural region of the aircraft affected by buffeting is a probability that a predetermined limit load will be reached during the total operation period of the aircraft in the respective structural region of the aircraft. 28. The system according to claim 27, wherein as a function of the calculated probabilities, a buffeting load control element which reduces a buffeting load on a structural region of the aircraft, the calculated probability of which exceeds a predetermined probability threshold value, is stored as a buffeting load control element in the memory of the control means, which buffeting load control element is to be moved out of the aerofoil during normal flight operation of the aircraft. 29. A method for minimizing buffeting loads in the case of an aircraft comprising the steps:
reducing buffeting loads acting on the aircraft by: moving buffeting load control elements out of airfoils of the aircraft. 30. A buffeting load control element for an aircraft comprising an element which can be at least partly moved out of an aerofoil of the aircraft to reduce buffeting loads acting on the aircraft. | 3,600 |
13,693 | 13,693 | 15,246,929 | 3,645 | A computing device is configured to receive a plurality of sets of sonar data, current locations associated with the sonar data, and condition parameters associated with the plurality of sets of sonar data from one or more marine electronic devices. The computing device receives a request from a user to display a condition and location based fishing activity s report. The request indicating a location and a condition parameter associated with desired fishing activity. The computing device filters the plurality of sets of the sonar data based on the request to generate a fishing activity report including one or more portions of the plurality of sets of the sonar data that are associated with the indicated location and the condition parameter and causes display of the fishing activity report on a screen such that the one or more portions of the plurality of sets of the sonar data are displayed. | 1. A marine data system comprising:
at least one marine electronic device comprising:
a sonar transducer configured to generate sonar data indicative of fish activity or a structure,
a location sensor configured to determine a current location associated with the sonar data,
a marine electronic device processor, and
a memory including computer program code configured to, with the marine electronic device processor, cause the marine electronic device to:
determine at least one condition parameter associated with the sonar data, wherein the at least one condition parameter is not the current location, and
transmit at least the sonar data, the current location associated with the sonar data, and the at least one condition parameter associated with the sonar data to a remote computing device; and
the computing device comprising:
a computing device processor, and
a memory including computer program code configured to, with the computing device processor, cause the computing device to:
receive a plurality of sets of sonar data, current locations associated with the plurality of sets of the sonar data, and condition parameters associated with the plurality of sets of the sonar data;
receive a request from a user to display a condition and location based fishing activity report, wherein the request indicates at least one location and at least one condition parameter associated with desired fishing activity;
filter the plurality of sets of sonar data based on the request to generate a fishing activity report, wherein the fishing activity report includes one or more portions of the plurality of sets of the sonar data that are associated with the indicated at least one location and the at least one condition parameter; and
cause display of the fishing activity report on a screen such that the one or more portions of the plurality of sets of the sonar data are displayed in a report that also indicates the at least one location and the at least one condition parameter from the request. 2. The marine data system of claim 1, wherein the processor and memory are further configured to:
determine one or more optimal fishing condition parameters based on the fishing activity report; compare at least one current condition parameter to the one or more optimal fishing condition parameters; determine a correlation value between the at least one current condition parameter and the one or more optimal fishing condition parameters; compare the correlation value to a predetermined correlation threshold; and
cause, in an instance in which the correlation value satisfies the predetermined correlation threshold, an alert such that a user is alerted to a situation in which the optimal fishing condition parameters are present based on the at least one current condition parameter. 3. The marine data system of claim 1, wherein the processor and memory are further configured to:
compare the fish activity report to a predetermined hot spot threshold, cause an alert in response to the at least a portion of the fishing activity report satisfying the hot spot threshold, cause an indication of one or more locations in which the fishing activity report satisfies the predetermined hot spot threshold to be displayed on the user interface. 4. The marine data system of claim 1, wherein the marine electronic device further comprises:
a user interface configured to receive user input including an indication of fish caught or casts. 5. The marine data system of claim 1, wherein the processor and memory are further configured to:
cause at least a portion of the fishing activity report to be overlaid on a nautical chart based on the location input. 6. A computing device comprising a processor and a memory including computer program code configured to, with the processor, cause the computing device to:
receive a plurality of sets of sonar data, current locations associated with the plurality of sets of sonar data, and condition parameters associated with the plurality of sets of sonar data from one or more marine electronic devices, wherein the condition parameters are not the current locations and wherein each of the plurality of sets of sonar data is data indicative of fish activity or a structure; receive a request from a user to display a condition and location based fishing activity report, wherein the request indicates at least one location and at least one condition parameter associated with desired fishing activity; filter the plurality of sets of the sonar data based on the request to generate the fishing activity report, wherein the fishing activity report includes one or more portions of the plurality of sets of the sonar data that are associated with the indicated at least one location and the at least one condition parameter; and cause display of the fishing activity report on a screen such that the one or more portions of the plurality of sets of the sonar data are displayed in a report that also indicates the at least one location and the at least one condition parameter from the request. 7. The computing device of claim 6, wherein the processor and memory are further configured to:
determine one or more optimal fishing condition parameters based on the fishing activity report; compare at least one current condition parameter to a corresponding optimal fishing condition parameter; determine a correlation value between the at least one current condition parameter and the corresponding optimal fishing condition parameter; compare the correlation value to a predetermined correlation threshold; and
cause an alert in response to the correlation value satisfying the predetermined correlation threshold. 8. The computing device of claim 6, wherein the processor and memory are further configured to:
cause at least a portion of the fishing activity report to be overlaid on a nautical chart based on the location input. 9. The computing device of claim 6, wherein the processor and memory are further configured to:
compare the fishing activity report to a predetermined hot spot threshold, wherein the alert is generated in response to at least a portion of the fishing activity report satisfying the hot spot threshold. 10. The computing device of claim 6, wherein the processor and memory are further configured to:
compare the fishing activity report to a predetermined hot spot threshold, cause an alert in response to the fishing activity report satisfying the hot spot threshold, cause an indication of one or more locations in which the fishing activity reports satisfies the predetermined fish activity threshold to be displayed on the user interface. 11. The computing device of claim 6, wherein the fishing activity report comprises a fish activity density map. 12. The computing device of claim 6, wherein the fish activity comprises an average of the one or more portions of the plurality of sets of the sonar data or an aggregate of the one or more portions the plurality of sets of the sonar data. 13. The computing device of claim 6, wherein the fish activity report is further based on user input including at least a number of fish caught at a location. 14. The computing device of claim 13, wherein the user input further comprises a fish type or bait type associated with the number of fish caught at the location, wherein the request further comprises an indication of a desired fish type or bait type from the user interface, and wherein the fishing activity report is further based on the fish type or bait type associated with the number of fish caught at the location and the desired fish type or desired bait type. 15. The computing device of claim 6, wherein the processor and memory are further configured to:
determine a fishing area based on the requested at least one location, wherein determining the fishing activity report comprises determining the fishing activity report for at least a portion of the fishing area; and comparing the fishing activity report to a hot spot threshold, wherein causing the fish activity report to be displayed comprises displaying one or more areas in which the fish activity satisfies the hot spot threshold. 16. The computing device of claim 15, wherein each of the one or more areas is displayed such that the one or more areas are indicative of an amount in excess of the hot spot threshold, wherein at least one of the size, color, or pattern of the one or more areas varies with the amount in excess of the hot spot threshold. 17. The computing device of claim 6, wherein the at least one condition parameter includes at least one of a temperature or date, wherein the processor and the memory are further configured to receive an indication of a current temperature, temperature input, current date, or date input, and wherein the fishing activity report is further based on the temperature or date and the current temperature, temperature input, current date, or date input. 18. The computing device of claim 6 further including a user interface with the screen, wherein the user interface comprises a graphic user interface comprising:
at least one parameter selection region of the screen configured to display a plurality of parameters for user selection; and
at least one fishing activity report region of the screen configured to display a fish activity data graphic based on selected parameters. 19. The computing device of claim 18, wherein the fish activity data graphic is indicative of a number of fish catches per day or per man-hour and at least one sub-parameter. 20. A marine data system comprising:
at least one marine electronic device comprising:
a sonar transducer configured to generate sonar data indicative of fish activity or a structure,
a location sensor configured to determine a current location associated with the sonar data,
a marine electronic device processor, and
a memory including computer program code configured to, with the marine electronic device processor, cause the marine electronic device to:
determine at least one condition parameter associated with the sonar data, wherein the at least one condition parameter is not the current location, and
transmit at least the sonar data, the current location associated with the sonar data, and the at least one condition parameter associated with the sonar data to a remote device; and
a computing device comprising:
a computing device processor, and
a memory including computer program code configured to, with the computing device processor, cause the computing device to:
receive a plurality of sets of sonar data, current locations associated with the plurality of sets of the sonar data, and condition parameters associated with the plurality of sets of the sonar data;
receive a current location or one or more current condition parameters associated with the computing device;
filter the plurality of sets of sonar data based on the current location or the one or more current condition parameters to generate a fishing activity report, wherein the fishing activity report includes one or more optimal fishing locations;
compare the current location or the one or more current condition parameters to corresponding one or more optimal fishing locations or one or more optimal fishing condition parameters;
determine a correlation value between the current location or the one or more current condition parameters and the corresponding one or more optimal fishing locations or one or more optimal fishing condition parameters; and
compare the correlation value to a predetermined correlation threshold; and
cause, in an instance in which the correlation value satisfies the predetermined correlation threshold, an alert such that a user is alerted to a situation in which the current location is proximate to or within one of the one or more optimal fishing locations or the one or more current condition parameters is similar to the optimal fishing condition parameters. | A computing device is configured to receive a plurality of sets of sonar data, current locations associated with the sonar data, and condition parameters associated with the plurality of sets of sonar data from one or more marine electronic devices. The computing device receives a request from a user to display a condition and location based fishing activity s report. The request indicating a location and a condition parameter associated with desired fishing activity. The computing device filters the plurality of sets of the sonar data based on the request to generate a fishing activity report including one or more portions of the plurality of sets of the sonar data that are associated with the indicated location and the condition parameter and causes display of the fishing activity report on a screen such that the one or more portions of the plurality of sets of the sonar data are displayed.1. A marine data system comprising:
at least one marine electronic device comprising:
a sonar transducer configured to generate sonar data indicative of fish activity or a structure,
a location sensor configured to determine a current location associated with the sonar data,
a marine electronic device processor, and
a memory including computer program code configured to, with the marine electronic device processor, cause the marine electronic device to:
determine at least one condition parameter associated with the sonar data, wherein the at least one condition parameter is not the current location, and
transmit at least the sonar data, the current location associated with the sonar data, and the at least one condition parameter associated with the sonar data to a remote computing device; and
the computing device comprising:
a computing device processor, and
a memory including computer program code configured to, with the computing device processor, cause the computing device to:
receive a plurality of sets of sonar data, current locations associated with the plurality of sets of the sonar data, and condition parameters associated with the plurality of sets of the sonar data;
receive a request from a user to display a condition and location based fishing activity report, wherein the request indicates at least one location and at least one condition parameter associated with desired fishing activity;
filter the plurality of sets of sonar data based on the request to generate a fishing activity report, wherein the fishing activity report includes one or more portions of the plurality of sets of the sonar data that are associated with the indicated at least one location and the at least one condition parameter; and
cause display of the fishing activity report on a screen such that the one or more portions of the plurality of sets of the sonar data are displayed in a report that also indicates the at least one location and the at least one condition parameter from the request. 2. The marine data system of claim 1, wherein the processor and memory are further configured to:
determine one or more optimal fishing condition parameters based on the fishing activity report; compare at least one current condition parameter to the one or more optimal fishing condition parameters; determine a correlation value between the at least one current condition parameter and the one or more optimal fishing condition parameters; compare the correlation value to a predetermined correlation threshold; and
cause, in an instance in which the correlation value satisfies the predetermined correlation threshold, an alert such that a user is alerted to a situation in which the optimal fishing condition parameters are present based on the at least one current condition parameter. 3. The marine data system of claim 1, wherein the processor and memory are further configured to:
compare the fish activity report to a predetermined hot spot threshold, cause an alert in response to the at least a portion of the fishing activity report satisfying the hot spot threshold, cause an indication of one or more locations in which the fishing activity report satisfies the predetermined hot spot threshold to be displayed on the user interface. 4. The marine data system of claim 1, wherein the marine electronic device further comprises:
a user interface configured to receive user input including an indication of fish caught or casts. 5. The marine data system of claim 1, wherein the processor and memory are further configured to:
cause at least a portion of the fishing activity report to be overlaid on a nautical chart based on the location input. 6. A computing device comprising a processor and a memory including computer program code configured to, with the processor, cause the computing device to:
receive a plurality of sets of sonar data, current locations associated with the plurality of sets of sonar data, and condition parameters associated with the plurality of sets of sonar data from one or more marine electronic devices, wherein the condition parameters are not the current locations and wherein each of the plurality of sets of sonar data is data indicative of fish activity or a structure; receive a request from a user to display a condition and location based fishing activity report, wherein the request indicates at least one location and at least one condition parameter associated with desired fishing activity; filter the plurality of sets of the sonar data based on the request to generate the fishing activity report, wherein the fishing activity report includes one or more portions of the plurality of sets of the sonar data that are associated with the indicated at least one location and the at least one condition parameter; and cause display of the fishing activity report on a screen such that the one or more portions of the plurality of sets of the sonar data are displayed in a report that also indicates the at least one location and the at least one condition parameter from the request. 7. The computing device of claim 6, wherein the processor and memory are further configured to:
determine one or more optimal fishing condition parameters based on the fishing activity report; compare at least one current condition parameter to a corresponding optimal fishing condition parameter; determine a correlation value between the at least one current condition parameter and the corresponding optimal fishing condition parameter; compare the correlation value to a predetermined correlation threshold; and
cause an alert in response to the correlation value satisfying the predetermined correlation threshold. 8. The computing device of claim 6, wherein the processor and memory are further configured to:
cause at least a portion of the fishing activity report to be overlaid on a nautical chart based on the location input. 9. The computing device of claim 6, wherein the processor and memory are further configured to:
compare the fishing activity report to a predetermined hot spot threshold, wherein the alert is generated in response to at least a portion of the fishing activity report satisfying the hot spot threshold. 10. The computing device of claim 6, wherein the processor and memory are further configured to:
compare the fishing activity report to a predetermined hot spot threshold, cause an alert in response to the fishing activity report satisfying the hot spot threshold, cause an indication of one or more locations in which the fishing activity reports satisfies the predetermined fish activity threshold to be displayed on the user interface. 11. The computing device of claim 6, wherein the fishing activity report comprises a fish activity density map. 12. The computing device of claim 6, wherein the fish activity comprises an average of the one or more portions of the plurality of sets of the sonar data or an aggregate of the one or more portions the plurality of sets of the sonar data. 13. The computing device of claim 6, wherein the fish activity report is further based on user input including at least a number of fish caught at a location. 14. The computing device of claim 13, wherein the user input further comprises a fish type or bait type associated with the number of fish caught at the location, wherein the request further comprises an indication of a desired fish type or bait type from the user interface, and wherein the fishing activity report is further based on the fish type or bait type associated with the number of fish caught at the location and the desired fish type or desired bait type. 15. The computing device of claim 6, wherein the processor and memory are further configured to:
determine a fishing area based on the requested at least one location, wherein determining the fishing activity report comprises determining the fishing activity report for at least a portion of the fishing area; and comparing the fishing activity report to a hot spot threshold, wherein causing the fish activity report to be displayed comprises displaying one or more areas in which the fish activity satisfies the hot spot threshold. 16. The computing device of claim 15, wherein each of the one or more areas is displayed such that the one or more areas are indicative of an amount in excess of the hot spot threshold, wherein at least one of the size, color, or pattern of the one or more areas varies with the amount in excess of the hot spot threshold. 17. The computing device of claim 6, wherein the at least one condition parameter includes at least one of a temperature or date, wherein the processor and the memory are further configured to receive an indication of a current temperature, temperature input, current date, or date input, and wherein the fishing activity report is further based on the temperature or date and the current temperature, temperature input, current date, or date input. 18. The computing device of claim 6 further including a user interface with the screen, wherein the user interface comprises a graphic user interface comprising:
at least one parameter selection region of the screen configured to display a plurality of parameters for user selection; and
at least one fishing activity report region of the screen configured to display a fish activity data graphic based on selected parameters. 19. The computing device of claim 18, wherein the fish activity data graphic is indicative of a number of fish catches per day or per man-hour and at least one sub-parameter. 20. A marine data system comprising:
at least one marine electronic device comprising:
a sonar transducer configured to generate sonar data indicative of fish activity or a structure,
a location sensor configured to determine a current location associated with the sonar data,
a marine electronic device processor, and
a memory including computer program code configured to, with the marine electronic device processor, cause the marine electronic device to:
determine at least one condition parameter associated with the sonar data, wherein the at least one condition parameter is not the current location, and
transmit at least the sonar data, the current location associated with the sonar data, and the at least one condition parameter associated with the sonar data to a remote device; and
a computing device comprising:
a computing device processor, and
a memory including computer program code configured to, with the computing device processor, cause the computing device to:
receive a plurality of sets of sonar data, current locations associated with the plurality of sets of the sonar data, and condition parameters associated with the plurality of sets of the sonar data;
receive a current location or one or more current condition parameters associated with the computing device;
filter the plurality of sets of sonar data based on the current location or the one or more current condition parameters to generate a fishing activity report, wherein the fishing activity report includes one or more optimal fishing locations;
compare the current location or the one or more current condition parameters to corresponding one or more optimal fishing locations or one or more optimal fishing condition parameters;
determine a correlation value between the current location or the one or more current condition parameters and the corresponding one or more optimal fishing locations or one or more optimal fishing condition parameters; and
compare the correlation value to a predetermined correlation threshold; and
cause, in an instance in which the correlation value satisfies the predetermined correlation threshold, an alert such that a user is alerted to a situation in which the current location is proximate to or within one of the one or more optimal fishing locations or the one or more current condition parameters is similar to the optimal fishing condition parameters. | 3,600 |
13,694 | 13,694 | 15,843,494 | 3,633 | An interlocking modular mat having four sides has female connectors on two sides and male connectors on the other two sides so that the modular mat can interlock with an adjacent mat and its connectors. The modular mat is configured with a plurality of structures surrounding a periphery of a top portion of the mat. The plurality of structures in combination with an underside of the top portion of the mat form a cavity. A sponge insert is configured to fit in the cavity and have a height such that a portion of the sponge insert extends from a bottom side the mat body. With the sponge insert extending beyond the bottom side of the mat body, the sponge insert bottom face generally become the supporting bottom of the modular mat to provide a more cushioned feel for a mat user. | 1. An interlocking modular mat comprising:
a mat body, the mat body having a top portion, the top portion having four sides, first and second sides of the four sides including a set of female connectors and third and fourth sides of the four sides including a set of male connectors, each female connector having an opening configured to interface with a male connector of an adjacent interlocking modular mat so that a side of the interlocking modular mat with the female connectors can connect to a side of an adjacent interlocking modular mat having male connectors, the mat body including a plurality of structures extending from an underside of the top portion and forming a periphery of the top portion, the structures forming a cavity with the underside of the top portion, each male connector extending downwardly from the underside of the top portion and located inward of the periphery formed by the structures, and each of the openings of the female connectors located outward of the periphery formed by the structures; and a sponge insert, the sponge insert fitting within the cavity formed in the mat body, the sponge insert having a height dimension such that when in the cavity, a bottom portion of the sponge insert extends beyond a bottom of the plurality of structures extending from an underside of the top portion of the mat body as well as bottoms of the female and male connectors. 2. The interlocking modular mat of claim 1, wherein the plurality of structures further comprises a plurality of first wall structures positioned along the first and second sides, each first wall structure including one of the female connectors extending therefrom. 3. The interlocking modular mat of claim 1, wherein the plurality of structures further comprises a plurality of second spaced apart wall structures extending along the third and fourth sides, adjacent second spaced part wall structures forming a space in the periphery of the top portion, each male connector positioned in the space between adjacent second spaced apart wall structures. 4. The interlocking modular mat of claim 2, wherein the plurality of structures further comprises a plurality of second spaced apart wall structures extending along the third and fourth sides, adjacent second spaced part wall structures forming a space in the periphery of the top portion, each male connector positioned in the space between adjacent second spaced apart wall structures. 5. The interlocking modular mat of claim 1, wherein a sponge insert periphery forms a continuous wall to engage at least a portion of the plurality of structures forming the cavity. 6. An interlocking modular mat comprising:
a mat body, the mat body having a top portion, the top portion having four sides, first and second sides of the four sides including a set of female connectors and third and fourth sides of the four sides including a set of male connectors, each female connector having an opening configured to interface with a male connector of an adjacent interlocking modular mat so that a side of the interlocking modular mat with the female connectors can connect to a side of an adjacent interlocking modular mat having male connectors, the mat body including a plurality of structures extending from an underside of the top portion and forming a periphery of the top portion, the structures forming a cavity with the underside of the top portion, each male connector extending downwardly from the underside of the top portion and located inward of the periphery formed by the structures, and each of the openings of the female connectors located outward of the periphery formed by the structures; and a sponge insert, the sponge insert fitting within the cavity formed in the mat body, the sponge insert having a height dimension such that when in the cavity, a bottom portion of the sponge insert extends beyond a bottom of the plurality of structures extending from an underside of the top portion of the mat body as well as bottoms of the female and male connectors; wherein the plurality of structures further comprises a plurality of first wall structures positioned along the first and second sides, each first wall structure including one of the female connectors extending therefrom; and further wherein the sponge insert has spaced apart cutout portions that extend inwardly from the periphery of the top portion, the male connectors positioned in the spaced apart cut out portions. 7. An interlocking modular mat comprising:
a mat body, the mat body having a top portion, the top portion having four sides, first and second sides of the four sides including a set of female connectors and third and fourth sides of the four sides including a set of male connectors, each female connector having an opening configured to interface with a male connector of an adjacent interlocking modular mat so that a side of the interlocking modular mat with the female connectors can connect to a side of an adjacent interlocking modular mat having male connectors, the mat body including a plurality of structures extending from an underside of the top portion and forming a periphery of the top portion, the structures forming a cavity with the underside of the top portion, each male connector extending downwardly from the underside of the top portion and located inward of the periphery formed by the structures, and each of the openings of the female connectors located outward of the periphery formed by the structures; and a sponge insert, the sponge insert fitting within the cavity formed in the mat body, the sponge insert having a height dimension such that when in the cavity, a bottom portion of the sponge insert extends beyond a bottom of the plurality of structures extending from an underside of the top portion of the mat body as well as bottoms of the female and male connectors; wherein each of the plurality of structures include a protrusion having a free end, each protrusion extending toward a center of the mat body from the structure, the free ends of each protrusion aligned to define a periphery of the cavity for the sponge insert. 8) The interlocking modular mat of claim 2, further comprising a wall segment extending downward from an edge of the top portion for each of the first and second sides, the wall segment extending between adjacent female connectors. 9. The interlocking modular mat of claim 3, wherein each second spaced apart wall structure comprises a wall segment extending downward from an edge of the top portion for each of the third and fourth sides. 10. A method of assembling a plurality of into a mat assembly by:
a) providing a plurality of the interlocking modular mat of claim 1; and b) interlocking either the female connectors of one mat body to the male connectors of another mat body or interlocking the male connectors of the one mat body to the female connectors of another mat body. 11. The method of claim 10, wherein step (b) is repeated to interlock additional mat bodies to form the mat assembly. | An interlocking modular mat having four sides has female connectors on two sides and male connectors on the other two sides so that the modular mat can interlock with an adjacent mat and its connectors. The modular mat is configured with a plurality of structures surrounding a periphery of a top portion of the mat. The plurality of structures in combination with an underside of the top portion of the mat form a cavity. A sponge insert is configured to fit in the cavity and have a height such that a portion of the sponge insert extends from a bottom side the mat body. With the sponge insert extending beyond the bottom side of the mat body, the sponge insert bottom face generally become the supporting bottom of the modular mat to provide a more cushioned feel for a mat user.1. An interlocking modular mat comprising:
a mat body, the mat body having a top portion, the top portion having four sides, first and second sides of the four sides including a set of female connectors and third and fourth sides of the four sides including a set of male connectors, each female connector having an opening configured to interface with a male connector of an adjacent interlocking modular mat so that a side of the interlocking modular mat with the female connectors can connect to a side of an adjacent interlocking modular mat having male connectors, the mat body including a plurality of structures extending from an underside of the top portion and forming a periphery of the top portion, the structures forming a cavity with the underside of the top portion, each male connector extending downwardly from the underside of the top portion and located inward of the periphery formed by the structures, and each of the openings of the female connectors located outward of the periphery formed by the structures; and a sponge insert, the sponge insert fitting within the cavity formed in the mat body, the sponge insert having a height dimension such that when in the cavity, a bottom portion of the sponge insert extends beyond a bottom of the plurality of structures extending from an underside of the top portion of the mat body as well as bottoms of the female and male connectors. 2. The interlocking modular mat of claim 1, wherein the plurality of structures further comprises a plurality of first wall structures positioned along the first and second sides, each first wall structure including one of the female connectors extending therefrom. 3. The interlocking modular mat of claim 1, wherein the plurality of structures further comprises a plurality of second spaced apart wall structures extending along the third and fourth sides, adjacent second spaced part wall structures forming a space in the periphery of the top portion, each male connector positioned in the space between adjacent second spaced apart wall structures. 4. The interlocking modular mat of claim 2, wherein the plurality of structures further comprises a plurality of second spaced apart wall structures extending along the third and fourth sides, adjacent second spaced part wall structures forming a space in the periphery of the top portion, each male connector positioned in the space between adjacent second spaced apart wall structures. 5. The interlocking modular mat of claim 1, wherein a sponge insert periphery forms a continuous wall to engage at least a portion of the plurality of structures forming the cavity. 6. An interlocking modular mat comprising:
a mat body, the mat body having a top portion, the top portion having four sides, first and second sides of the four sides including a set of female connectors and third and fourth sides of the four sides including a set of male connectors, each female connector having an opening configured to interface with a male connector of an adjacent interlocking modular mat so that a side of the interlocking modular mat with the female connectors can connect to a side of an adjacent interlocking modular mat having male connectors, the mat body including a plurality of structures extending from an underside of the top portion and forming a periphery of the top portion, the structures forming a cavity with the underside of the top portion, each male connector extending downwardly from the underside of the top portion and located inward of the periphery formed by the structures, and each of the openings of the female connectors located outward of the periphery formed by the structures; and a sponge insert, the sponge insert fitting within the cavity formed in the mat body, the sponge insert having a height dimension such that when in the cavity, a bottom portion of the sponge insert extends beyond a bottom of the plurality of structures extending from an underside of the top portion of the mat body as well as bottoms of the female and male connectors; wherein the plurality of structures further comprises a plurality of first wall structures positioned along the first and second sides, each first wall structure including one of the female connectors extending therefrom; and further wherein the sponge insert has spaced apart cutout portions that extend inwardly from the periphery of the top portion, the male connectors positioned in the spaced apart cut out portions. 7. An interlocking modular mat comprising:
a mat body, the mat body having a top portion, the top portion having four sides, first and second sides of the four sides including a set of female connectors and third and fourth sides of the four sides including a set of male connectors, each female connector having an opening configured to interface with a male connector of an adjacent interlocking modular mat so that a side of the interlocking modular mat with the female connectors can connect to a side of an adjacent interlocking modular mat having male connectors, the mat body including a plurality of structures extending from an underside of the top portion and forming a periphery of the top portion, the structures forming a cavity with the underside of the top portion, each male connector extending downwardly from the underside of the top portion and located inward of the periphery formed by the structures, and each of the openings of the female connectors located outward of the periphery formed by the structures; and a sponge insert, the sponge insert fitting within the cavity formed in the mat body, the sponge insert having a height dimension such that when in the cavity, a bottom portion of the sponge insert extends beyond a bottom of the plurality of structures extending from an underside of the top portion of the mat body as well as bottoms of the female and male connectors; wherein each of the plurality of structures include a protrusion having a free end, each protrusion extending toward a center of the mat body from the structure, the free ends of each protrusion aligned to define a periphery of the cavity for the sponge insert. 8) The interlocking modular mat of claim 2, further comprising a wall segment extending downward from an edge of the top portion for each of the first and second sides, the wall segment extending between adjacent female connectors. 9. The interlocking modular mat of claim 3, wherein each second spaced apart wall structure comprises a wall segment extending downward from an edge of the top portion for each of the third and fourth sides. 10. A method of assembling a plurality of into a mat assembly by:
a) providing a plurality of the interlocking modular mat of claim 1; and b) interlocking either the female connectors of one mat body to the male connectors of another mat body or interlocking the male connectors of the one mat body to the female connectors of another mat body. 11. The method of claim 10, wherein step (b) is repeated to interlock additional mat bodies to form the mat assembly. | 3,600 |
13,695 | 13,695 | 14,279,015 | 3,626 | Methods and systems for controlling a workflow in an operating room including interconnected medical devices that support surgical systems and surgical operations. Methods and systems to control clinical information through the use of a medical device, such that use of a medical device at least partially determines the clinical information that is displayed on a display monitor. | 1. A system for managing workflow of a medical procedure, the system comprising:
a processor; a database storing clinical information; at least one display monitor able to display the clinical information; software executing on said processor for displaying a subset of the clinical information on said at least one display monitor; and at least one medical device, the at least one medical device used in the medical procedure, such that during the medical procedure, the use of the at least one medical device at least partially determines the subset of clinical information that is displayed on the at least one display monitor. 2. The system of claim 1, wherein a different subset of the clinical information is displayed on the at least one display monitor for each stage of a multi-stage medical procedure. 3. The system of claim 1, wherein the at least one medical device includes at least one control, wherein the at least one control performs a different task during different stages of the multi-stage medical procedure. 4. The system of claim 3, wherein the at least one control is able to be reprogrammed to perform a different task during different stages of the multi-stage medical procedure. 5. The system of claim 1, wherein the at least one medical device is connected to the processor, such that movement of the at least one medical device at least partially controls the subset of clinical information that is displayed on the at least one display monitor. 6. The system of claim 1, wherein the at least one medical device includes control parameters, wherein changes to the control parameters of the at least one medical device at least partially controls the subset of clinical information that is displayed on the at least one display monitor. 7. The system of claim 1, wherein the at least one medical device includes a sensor, an RFID tag, or a type of active or passive identifier that interacts with the processor. 8. The system of claim 1, wherein the steps of the medical procedure are controlled at least in part by the at least one medical device. 9. The system of claim 1, further comprising a machine learning module. 10. The system of claim 9, wherein the machine learning module includes rules, such that the rules in the machine learning module adjust the steps of the medical procedure based at least partially upon the use of the at least one medical device during the medical procedure. 11. The system of claim 10, wherein the rules have an associated risk level, so that rules having a high risk level are not automatically updated by the system. 12. The system of claim 11, wherein the risk level is expressed as a continuum between a minimum and a maximum value, so that rules with progressively higher risk level are only updated after a progressively larger set of usage data showing a consistent usage pattern is collected. 13. The system of claim 1, further comprising an image recognition module. 14. The system of claim 13, wherein the image recognition module that performs an analysis of signals provided by the at least one medical device and at least partially uses image recognition algorithms to identify features in the signals provided by the at least one medical device. 15. The system of claim 1, further comprising medical device parameters to at least partially determine a stage or phase of the medical procedure. 16. The system of claim 15, wherein information provided by the at least one medical device is at least partially used to identify additional fine-grained steps within the medical procedure. 17. The system of claim 1, wherein the at least one medical device is controlled via speech recognition and/or gesture control and/or an input device. 18. The system of claim 10, wherein the at least one machine learning module updates said rules after receiving commands via speech recognition and/or gesture control and/or an input device. 19. The system of claim 13, wherein the image recognition module is augmented by speech recognition and/or gesture control. 20. The system of claim 13, wherein the image recognition module is able to learn the visual features of previously unseen medical devices and/or gestures. 21. The system of claim 1, wherein the processor includes an override that allows a user to control the subset of clinical information that is displayed on the at least one display monitor. 22. The system of claim 1, further comprising software executing on the processor that provides reminders to suggest that certain steps during the medical procedure should be taken by a user. 23. The system of claim 1, further comprising software executing on the processor, such that the at least one medical device provides audible warnings to a user and/or provides additional instructions to a user to suggest steps during the medical procedure. 24. The system of claim 1, further comprising a second medical device, the second medical device providing a second subset of medical data, such that during the medical procedure, the use of the second medical device at least partially determines the subset of clinical information that is displayed on the at least one display monitor. 25. The system of claim 24, wherein the first medical device is in communication with the second medical device. 26. The system of claim 24, further comprising a third medical device, the third medical device providing a third subset of medical data. 27. The system of claim 26, wherein the first medical device is used on a first patient and the third medical device is used on a second patient. 28. The system of claim 27, wherein the medical procedure is a transplant surgery. 29. The system of claim 27, further comprising a controller, the controller being used to monitor the progress of the medical procedure. 30. The system of claim 29, wherein the controller receives information from the first medical device and the third medical device, such that the controller provides relevant information to determine the progress of the medical procedure. 31. The system of claim 30, such that during the medical procedure, the controller provides the progress of the medical surgery by providing updates through the at least one display monitor. 32. The system of claim 1, wherein the clinical information is divided into subsets according to the role of an intended recipient of the clinical information. 33. The system of claim 32, further comprising at least two display monitors, wherein at least one display monitor displays a subset of information that is relevant for a first intended recipient, and wherein at least one display monitor displays a subset of information that is relevant for a second intended recipient. 34. A method for managing workflow of a medical procedure, the method comprising:
providing a processor able to process clinical information; providing at least one display monitor able to display the clinical information; providing at least one medical device being used in the medical procedure; wherein use of the at least one medical device in the medical procedure at least partially determines a subset of clinical information that is displayed on the at least one display monitor. 35. The method of claim 34, wherein the clinical information displayed on the at least one display monitor is for a multi-stage medical procedure. 36. The method of claim 34, wherein the at least one medical device includes at least one control, wherein the at least one control performs different tasks during different stages of the multi-stage medical procedure. 37. The method of claim 34, wherein the identified stage of the medical procedure to be performed at least partially determines the subset of clinical information displayed on the at least one display monitor. 38. The method of claim 34, wherein the at least one medical device includes a sensor, an RFID tag, or a type of active or passive identifier that interacts with the processor. 39. The method of claim 34, wherein the processor includes an override that allows a user to control the subset of clinical information that is displayed on the at least one display monitor. 40. The method of claim 39, wherein the override is based at least in part upon a voice command, a gesture, or upon an input command. 41. The method of claim 34, wherein the at least one medical device is an input device that can be dynamically re-programmed. 42. The method of claim 34, wherein the at least one medical device is controlled via speech recognition and/or gesture control and/or an input device. 43. The method of claim 34, further comprising software executing on the processor that provides reminders to suggest that certain steps during the medical procedure should be taken by a user. 44. A system for managing workflow of a medical procedure, the system comprising:
a processor; a database storing clinical information; at least one display monitor able to display the clinical information; software executing on said processor for displaying a subset of the clinical information on said at least one display monitor; and an image recognition module able to detect a stage of the medical procedure to at least partially determine the subset of clinical information that is displayed on the at least one display monitor. 45. The system of claim 44, further comprising at least one medical device, the at least one medical device used in the medical procedure able to interact with the image recognition module. 46. The system of claim 44, wherein the at least one medical device interacts with the image recognition module via a sensor, an RFID tag, or a type of active or passive identifier. 47. The system of claim 44, further comprising software executing on the processor that provides reminders to suggest that certain steps during the medical procedure should be taken by a user. 48. The system of claim 44, wherein the at least one medical device includes at least one control, wherein the at least one control performs a different task during different stages of the multi-stage medical procedure. 49. The system of claim 48, wherein the at least one control is able to be reprogrammed to perform a different task during different stages of the multi-stage medical procedure. 50. The system of claim 44, wherein the at least one medical device is controlled via speech recognition and/or gesture control and/or an input device. 51. The system of claim 44, wherein the image recognition module is augmented by speech recognition and/or gesture control and/or an input device. | Methods and systems for controlling a workflow in an operating room including interconnected medical devices that support surgical systems and surgical operations. Methods and systems to control clinical information through the use of a medical device, such that use of a medical device at least partially determines the clinical information that is displayed on a display monitor.1. A system for managing workflow of a medical procedure, the system comprising:
a processor; a database storing clinical information; at least one display monitor able to display the clinical information; software executing on said processor for displaying a subset of the clinical information on said at least one display monitor; and at least one medical device, the at least one medical device used in the medical procedure, such that during the medical procedure, the use of the at least one medical device at least partially determines the subset of clinical information that is displayed on the at least one display monitor. 2. The system of claim 1, wherein a different subset of the clinical information is displayed on the at least one display monitor for each stage of a multi-stage medical procedure. 3. The system of claim 1, wherein the at least one medical device includes at least one control, wherein the at least one control performs a different task during different stages of the multi-stage medical procedure. 4. The system of claim 3, wherein the at least one control is able to be reprogrammed to perform a different task during different stages of the multi-stage medical procedure. 5. The system of claim 1, wherein the at least one medical device is connected to the processor, such that movement of the at least one medical device at least partially controls the subset of clinical information that is displayed on the at least one display monitor. 6. The system of claim 1, wherein the at least one medical device includes control parameters, wherein changes to the control parameters of the at least one medical device at least partially controls the subset of clinical information that is displayed on the at least one display monitor. 7. The system of claim 1, wherein the at least one medical device includes a sensor, an RFID tag, or a type of active or passive identifier that interacts with the processor. 8. The system of claim 1, wherein the steps of the medical procedure are controlled at least in part by the at least one medical device. 9. The system of claim 1, further comprising a machine learning module. 10. The system of claim 9, wherein the machine learning module includes rules, such that the rules in the machine learning module adjust the steps of the medical procedure based at least partially upon the use of the at least one medical device during the medical procedure. 11. The system of claim 10, wherein the rules have an associated risk level, so that rules having a high risk level are not automatically updated by the system. 12. The system of claim 11, wherein the risk level is expressed as a continuum between a minimum and a maximum value, so that rules with progressively higher risk level are only updated after a progressively larger set of usage data showing a consistent usage pattern is collected. 13. The system of claim 1, further comprising an image recognition module. 14. The system of claim 13, wherein the image recognition module that performs an analysis of signals provided by the at least one medical device and at least partially uses image recognition algorithms to identify features in the signals provided by the at least one medical device. 15. The system of claim 1, further comprising medical device parameters to at least partially determine a stage or phase of the medical procedure. 16. The system of claim 15, wherein information provided by the at least one medical device is at least partially used to identify additional fine-grained steps within the medical procedure. 17. The system of claim 1, wherein the at least one medical device is controlled via speech recognition and/or gesture control and/or an input device. 18. The system of claim 10, wherein the at least one machine learning module updates said rules after receiving commands via speech recognition and/or gesture control and/or an input device. 19. The system of claim 13, wherein the image recognition module is augmented by speech recognition and/or gesture control. 20. The system of claim 13, wherein the image recognition module is able to learn the visual features of previously unseen medical devices and/or gestures. 21. The system of claim 1, wherein the processor includes an override that allows a user to control the subset of clinical information that is displayed on the at least one display monitor. 22. The system of claim 1, further comprising software executing on the processor that provides reminders to suggest that certain steps during the medical procedure should be taken by a user. 23. The system of claim 1, further comprising software executing on the processor, such that the at least one medical device provides audible warnings to a user and/or provides additional instructions to a user to suggest steps during the medical procedure. 24. The system of claim 1, further comprising a second medical device, the second medical device providing a second subset of medical data, such that during the medical procedure, the use of the second medical device at least partially determines the subset of clinical information that is displayed on the at least one display monitor. 25. The system of claim 24, wherein the first medical device is in communication with the second medical device. 26. The system of claim 24, further comprising a third medical device, the third medical device providing a third subset of medical data. 27. The system of claim 26, wherein the first medical device is used on a first patient and the third medical device is used on a second patient. 28. The system of claim 27, wherein the medical procedure is a transplant surgery. 29. The system of claim 27, further comprising a controller, the controller being used to monitor the progress of the medical procedure. 30. The system of claim 29, wherein the controller receives information from the first medical device and the third medical device, such that the controller provides relevant information to determine the progress of the medical procedure. 31. The system of claim 30, such that during the medical procedure, the controller provides the progress of the medical surgery by providing updates through the at least one display monitor. 32. The system of claim 1, wherein the clinical information is divided into subsets according to the role of an intended recipient of the clinical information. 33. The system of claim 32, further comprising at least two display monitors, wherein at least one display monitor displays a subset of information that is relevant for a first intended recipient, and wherein at least one display monitor displays a subset of information that is relevant for a second intended recipient. 34. A method for managing workflow of a medical procedure, the method comprising:
providing a processor able to process clinical information; providing at least one display monitor able to display the clinical information; providing at least one medical device being used in the medical procedure; wherein use of the at least one medical device in the medical procedure at least partially determines a subset of clinical information that is displayed on the at least one display monitor. 35. The method of claim 34, wherein the clinical information displayed on the at least one display monitor is for a multi-stage medical procedure. 36. The method of claim 34, wherein the at least one medical device includes at least one control, wherein the at least one control performs different tasks during different stages of the multi-stage medical procedure. 37. The method of claim 34, wherein the identified stage of the medical procedure to be performed at least partially determines the subset of clinical information displayed on the at least one display monitor. 38. The method of claim 34, wherein the at least one medical device includes a sensor, an RFID tag, or a type of active or passive identifier that interacts with the processor. 39. The method of claim 34, wherein the processor includes an override that allows a user to control the subset of clinical information that is displayed on the at least one display monitor. 40. The method of claim 39, wherein the override is based at least in part upon a voice command, a gesture, or upon an input command. 41. The method of claim 34, wherein the at least one medical device is an input device that can be dynamically re-programmed. 42. The method of claim 34, wherein the at least one medical device is controlled via speech recognition and/or gesture control and/or an input device. 43. The method of claim 34, further comprising software executing on the processor that provides reminders to suggest that certain steps during the medical procedure should be taken by a user. 44. A system for managing workflow of a medical procedure, the system comprising:
a processor; a database storing clinical information; at least one display monitor able to display the clinical information; software executing on said processor for displaying a subset of the clinical information on said at least one display monitor; and an image recognition module able to detect a stage of the medical procedure to at least partially determine the subset of clinical information that is displayed on the at least one display monitor. 45. The system of claim 44, further comprising at least one medical device, the at least one medical device used in the medical procedure able to interact with the image recognition module. 46. The system of claim 44, wherein the at least one medical device interacts with the image recognition module via a sensor, an RFID tag, or a type of active or passive identifier. 47. The system of claim 44, further comprising software executing on the processor that provides reminders to suggest that certain steps during the medical procedure should be taken by a user. 48. The system of claim 44, wherein the at least one medical device includes at least one control, wherein the at least one control performs a different task during different stages of the multi-stage medical procedure. 49. The system of claim 48, wherein the at least one control is able to be reprogrammed to perform a different task during different stages of the multi-stage medical procedure. 50. The system of claim 44, wherein the at least one medical device is controlled via speech recognition and/or gesture control and/or an input device. 51. The system of claim 44, wherein the image recognition module is augmented by speech recognition and/or gesture control and/or an input device. | 3,600 |
13,696 | 13,696 | 13,827,482 | 3,626 | Evaluation of health care provider quality is described. Data is obtained, the data including claims data and member data of a member panel of a health care provider, the member panel including patients to which the provider provides health care services. Based on the obtained data, quality scores are determined for the provider across the member panel and across health care quality domains. A composite health provider quality score of the health provider is then determined, where the composite health provider quality score is a composite of the determined quality scores across the member panel and across the multiple health care quality domains. In some embodiments, risk-adjustment is performed for the quality scores, such as risk-adjustment against a peer reference base based on disease categories, patient age, and patient gender. | 1. A method for evaluating health care provider quality, the method comprising:
obtaining data including health care claims data corresponding to health care claims by a member panel of a health care provider, the member panel comprising multiple patients to which the health care provider provides health care services; determining, based at least partially on the obtained health care claims data, quality scores for the health care provider across the member panel and across multiple health care quality domains, wherein a health care quality domain of the multiple health care quality domains comprises a heath status domain, wherein a determined quality score of the health status domain comprises a measure of disease progression in members of the member panel of the health care provider; and determining, by a processor, a composite health provider quality score of the health provider, the composite health provider quality score being a composite of the determined quality scores for the health care provider across the member panel and across the multiple health care quality domains. 2. The method of claim 1, wherein the measure of disease progression comprises a risk-adjusted assessment of the percent difference between an expected rate of disease progression and an actual rate of the disease progression in the members of the member panel of the health care provider. 3. The method of claim 1, wherein the multiple health care quality domains further comprise at least one of the following:
a member experience domain, from which a patient feedback quality score regarding quality of care by the health care provider is obtained; at least one care prevention domain indicative of at least one of primary, secondary, or tertiary care prevention; a continuity of care domain indicative of an extent to which an ongoing health care relationship is maintained between the health care provider and the member panel; or a chronic-care and follow-up services domain indicative of an ability of the health care provider to provide chronic-care and follow-up services to the member panel. 4. The method of claim 3, wherein determining the quality scores comprises risk-adjusting quality scores of multiple domains of the member experience domain, at least one care prevention domain, continuity of care domain, or chronic care and follow-up services domain, wherein the risk-adjustment is performed against a peer reference base, and wherein the quality scores from which the composite health provider quality score is determined includes the risk-adjusted quality scores. 5. The method of claim 4, wherein the risk-adjustment is based, at least in part, on disease category, member age, and member sex of members of the member panel. 6. The method of claim 4, wherein the quality scores across the multiple health care quality domains are determined based at least partially on non-disease-specific health measures of the obtained health care claims data. 7. The method of claim 3, wherein the multiple health care quality domains comprise the continuity of care domain, and wherein determining the quality scores comprises risk-adjusting at least one quality score of the continuity of care domain based, at least in part, on member age, member sex, and member disease status of the member panel, wherein the risk-adjustment is performed against a peer reference base. 8. The method of claim 3, wherein the multiple health care quality domains comprise the continuity of care domain, and wherein a quality score of the continuity of care domain is based, at least in part, on emergency room visits of the member panel. 9. The method of claim 3, wherein the multiple health care quality domains comprise the continuity of care domain, wherein the health care provider comprises one or more primary care practitioners, and wherein a quality score of the continuity of care domain indicates continuity of care by the one or more primary care practitioners for the member panel. 10. The method of claim 1, wherein the multiple health care quality domains comprise the following health care quality domains:
a member experience domain, from which a patient feedback quality score regarding quality of care by the health care provider is obtained at least one care prevention domain indicative of at least one of primary, secondary, or tertiary care prevention; a continuity of care domain indicative of an extent to which an ongoing health care relationship is maintained between the health care provider and the member panel; and a chronic-care and follow-up services domain indicative of an ability of the health care provider to provide chronic-care and follow-up services to the member panel. 11. A computer system for evaluating health care provider quality, the computer system comprising:
a memory; and a processor in communication with the memory, wherein the computer system is configured to perform:
obtaining data including health care claims data corresponding to health care claims by a member panel of a health care provider, the member panel comprising multiple patients to which the health care provider provides health care services;
determining, based at least partially on the obtained health care claims data, quality scores for the health care provider across the member panel and across multiple health care quality domains, wherein a health care quality domain of the multiple health care quality domains comprises a heath status domain, wherein a determined quality score of the health status domain comprises a measure of disease progression in members of the member panel of the health care provider; and
determining a composite health provider quality score of the health provider, the composite health provider quality score being a composite of the determined quality scores for the health care provider across the member panel and across the multiple health care quality domains. 12. The computer system of claim 11, wherein the measure of disease progression comprises a risk-adjusted assessment of the percent difference between an expected rate of disease progression and an actual rate of the disease progression in the members of the member panel of the health care provider. 13. The computer system of claim 11, wherein the multiple health care quality domains further comprise at least one of the following:
a member experience domain, from which a patient feedback quality score regarding quality of care by the health care provider is obtained; at least one care prevention domain indicative of at least one of primary, secondary, or tertiary care prevention; a continuity of care domain indicative of an extent to which an ongoing health care relationship is maintained between the health care provider and the member panel; or a chronic-care and follow-up services domain indicative of an ability of the health care provider to provide chronic-care and follow-up services to the member panel. 14. The computer system of claim 13, wherein determining the quality scores comprises risk-adjusting quality scores of multiple domains of the member experience domain, at least one care prevention domain, continuity of care domain, or chronic care and follow-up services domain, wherein the risk-adjustment is performed against a peer reference base, and wherein the quality scores from which the composite health provider quality score is determined includes the risk-adjusted quality scores. 15. The computer system of claim 14, wherein the risk-adjustment is based, at least in part, on disease category, member age, and member sex of members of the member panel. 16. The computer system of claim 14, wherein the quality scores across the multiple health care quality domains are determined based at least partially on non-disease-specific health measures of the obtained health care claims data. 17. The computer system of claim 13, wherein the multiple health care quality domains comprise the continuity of care domain, and wherein determining the quality scores comprises risk-adjusting at least one quality score of the continuity of care domain based, at least in part, on member age, member sex, and member disease status of the member panel, wherein the risk-adjustment is performed against a peer reference base. 18. The computer system of claim 13, wherein the multiple health care quality domains comprise the continuity of care domain, wherein a quality score of the continuity of care domain, and wherein the health care provider comprises one or more primary care practitioners, and wherein a quality score of the continuity of care domain indicates continuity of care by the one or more primary care practitioners for the member panel and is further based, at least in part, on emergency room visits of the member panel. 19. The computer system of claim 11, wherein the multiple health care quality domains comprise the following health care quality domains:
a member experience domain, from which a patient feedback quality score regarding quality of care by the health care provider is obtained at least one care prevention domain indicative of at least one of primary, secondary, or tertiary care prevention; a continuity of care domain indicative of an extent to which an ongoing health care relationship is maintained between the health care provider and the member panel; and a chronic-care and follow-up services domain indicative of an ability of the health care provider to provide chronic-care and follow-up services to the member panel. 20. A computer program product for evaluating health care provider quality, the computer program product comprising:
a tangible storage medium readable by a processor and storing instructions for execution to perform a method comprising:
obtaining data including health care claims data corresponding to health care claims by a member panel of a health care provider, the member panel comprising multiple patients to which the health care provider provides health care services;
determining, based at least partially on the obtained health care claims data, quality scores for the health care provider across the member panel and across multiple health care quality domains, wherein a health care quality domain of the multiple health care quality domains comprises a heath status domain, wherein a determined quality score of the health status domain comprises a measure of disease progression in members of the member panel of the health care provider; and
determining a composite health provider quality score of the health provider, the composite health provider quality score being a composite of the determined quality scores for the health care provider across the member panel and across the multiple health care quality domains. | Evaluation of health care provider quality is described. Data is obtained, the data including claims data and member data of a member panel of a health care provider, the member panel including patients to which the provider provides health care services. Based on the obtained data, quality scores are determined for the provider across the member panel and across health care quality domains. A composite health provider quality score of the health provider is then determined, where the composite health provider quality score is a composite of the determined quality scores across the member panel and across the multiple health care quality domains. In some embodiments, risk-adjustment is performed for the quality scores, such as risk-adjustment against a peer reference base based on disease categories, patient age, and patient gender.1. A method for evaluating health care provider quality, the method comprising:
obtaining data including health care claims data corresponding to health care claims by a member panel of a health care provider, the member panel comprising multiple patients to which the health care provider provides health care services; determining, based at least partially on the obtained health care claims data, quality scores for the health care provider across the member panel and across multiple health care quality domains, wherein a health care quality domain of the multiple health care quality domains comprises a heath status domain, wherein a determined quality score of the health status domain comprises a measure of disease progression in members of the member panel of the health care provider; and determining, by a processor, a composite health provider quality score of the health provider, the composite health provider quality score being a composite of the determined quality scores for the health care provider across the member panel and across the multiple health care quality domains. 2. The method of claim 1, wherein the measure of disease progression comprises a risk-adjusted assessment of the percent difference between an expected rate of disease progression and an actual rate of the disease progression in the members of the member panel of the health care provider. 3. The method of claim 1, wherein the multiple health care quality domains further comprise at least one of the following:
a member experience domain, from which a patient feedback quality score regarding quality of care by the health care provider is obtained; at least one care prevention domain indicative of at least one of primary, secondary, or tertiary care prevention; a continuity of care domain indicative of an extent to which an ongoing health care relationship is maintained between the health care provider and the member panel; or a chronic-care and follow-up services domain indicative of an ability of the health care provider to provide chronic-care and follow-up services to the member panel. 4. The method of claim 3, wherein determining the quality scores comprises risk-adjusting quality scores of multiple domains of the member experience domain, at least one care prevention domain, continuity of care domain, or chronic care and follow-up services domain, wherein the risk-adjustment is performed against a peer reference base, and wherein the quality scores from which the composite health provider quality score is determined includes the risk-adjusted quality scores. 5. The method of claim 4, wherein the risk-adjustment is based, at least in part, on disease category, member age, and member sex of members of the member panel. 6. The method of claim 4, wherein the quality scores across the multiple health care quality domains are determined based at least partially on non-disease-specific health measures of the obtained health care claims data. 7. The method of claim 3, wherein the multiple health care quality domains comprise the continuity of care domain, and wherein determining the quality scores comprises risk-adjusting at least one quality score of the continuity of care domain based, at least in part, on member age, member sex, and member disease status of the member panel, wherein the risk-adjustment is performed against a peer reference base. 8. The method of claim 3, wherein the multiple health care quality domains comprise the continuity of care domain, and wherein a quality score of the continuity of care domain is based, at least in part, on emergency room visits of the member panel. 9. The method of claim 3, wherein the multiple health care quality domains comprise the continuity of care domain, wherein the health care provider comprises one or more primary care practitioners, and wherein a quality score of the continuity of care domain indicates continuity of care by the one or more primary care practitioners for the member panel. 10. The method of claim 1, wherein the multiple health care quality domains comprise the following health care quality domains:
a member experience domain, from which a patient feedback quality score regarding quality of care by the health care provider is obtained at least one care prevention domain indicative of at least one of primary, secondary, or tertiary care prevention; a continuity of care domain indicative of an extent to which an ongoing health care relationship is maintained between the health care provider and the member panel; and a chronic-care and follow-up services domain indicative of an ability of the health care provider to provide chronic-care and follow-up services to the member panel. 11. A computer system for evaluating health care provider quality, the computer system comprising:
a memory; and a processor in communication with the memory, wherein the computer system is configured to perform:
obtaining data including health care claims data corresponding to health care claims by a member panel of a health care provider, the member panel comprising multiple patients to which the health care provider provides health care services;
determining, based at least partially on the obtained health care claims data, quality scores for the health care provider across the member panel and across multiple health care quality domains, wherein a health care quality domain of the multiple health care quality domains comprises a heath status domain, wherein a determined quality score of the health status domain comprises a measure of disease progression in members of the member panel of the health care provider; and
determining a composite health provider quality score of the health provider, the composite health provider quality score being a composite of the determined quality scores for the health care provider across the member panel and across the multiple health care quality domains. 12. The computer system of claim 11, wherein the measure of disease progression comprises a risk-adjusted assessment of the percent difference between an expected rate of disease progression and an actual rate of the disease progression in the members of the member panel of the health care provider. 13. The computer system of claim 11, wherein the multiple health care quality domains further comprise at least one of the following:
a member experience domain, from which a patient feedback quality score regarding quality of care by the health care provider is obtained; at least one care prevention domain indicative of at least one of primary, secondary, or tertiary care prevention; a continuity of care domain indicative of an extent to which an ongoing health care relationship is maintained between the health care provider and the member panel; or a chronic-care and follow-up services domain indicative of an ability of the health care provider to provide chronic-care and follow-up services to the member panel. 14. The computer system of claim 13, wherein determining the quality scores comprises risk-adjusting quality scores of multiple domains of the member experience domain, at least one care prevention domain, continuity of care domain, or chronic care and follow-up services domain, wherein the risk-adjustment is performed against a peer reference base, and wherein the quality scores from which the composite health provider quality score is determined includes the risk-adjusted quality scores. 15. The computer system of claim 14, wherein the risk-adjustment is based, at least in part, on disease category, member age, and member sex of members of the member panel. 16. The computer system of claim 14, wherein the quality scores across the multiple health care quality domains are determined based at least partially on non-disease-specific health measures of the obtained health care claims data. 17. The computer system of claim 13, wherein the multiple health care quality domains comprise the continuity of care domain, and wherein determining the quality scores comprises risk-adjusting at least one quality score of the continuity of care domain based, at least in part, on member age, member sex, and member disease status of the member panel, wherein the risk-adjustment is performed against a peer reference base. 18. The computer system of claim 13, wherein the multiple health care quality domains comprise the continuity of care domain, wherein a quality score of the continuity of care domain, and wherein the health care provider comprises one or more primary care practitioners, and wherein a quality score of the continuity of care domain indicates continuity of care by the one or more primary care practitioners for the member panel and is further based, at least in part, on emergency room visits of the member panel. 19. The computer system of claim 11, wherein the multiple health care quality domains comprise the following health care quality domains:
a member experience domain, from which a patient feedback quality score regarding quality of care by the health care provider is obtained at least one care prevention domain indicative of at least one of primary, secondary, or tertiary care prevention; a continuity of care domain indicative of an extent to which an ongoing health care relationship is maintained between the health care provider and the member panel; and a chronic-care and follow-up services domain indicative of an ability of the health care provider to provide chronic-care and follow-up services to the member panel. 20. A computer program product for evaluating health care provider quality, the computer program product comprising:
a tangible storage medium readable by a processor and storing instructions for execution to perform a method comprising:
obtaining data including health care claims data corresponding to health care claims by a member panel of a health care provider, the member panel comprising multiple patients to which the health care provider provides health care services;
determining, based at least partially on the obtained health care claims data, quality scores for the health care provider across the member panel and across multiple health care quality domains, wherein a health care quality domain of the multiple health care quality domains comprises a heath status domain, wherein a determined quality score of the health status domain comprises a measure of disease progression in members of the member panel of the health care provider; and
determining a composite health provider quality score of the health provider, the composite health provider quality score being a composite of the determined quality scores for the health care provider across the member panel and across the multiple health care quality domains. | 3,600 |
13,697 | 13,697 | 14,623,775 | 3,689 | A computerized system for summarizing agreements between two or more parties, comprises one or more processors. The processors may be configured to capture data relating to the agreement, such as agent screen data during an interaction with a customer. The data may be captured in successive capture operations each in response to an event, such as an agent key press or data entry. The captured data may be used to prepare a continuous text summarizing the agreement. An audio summary of the agreement may be derived from the text and played to at least one of the parties. | 1. A computer system for summarizing an agreement between two or more parties, the system comprising one or more processors configured to:
capture data relating to the agreement in successive capture operations, each capture operation executed in response to a detected event; use the captured data to prepare a continuous text summarizing the agreement; and play to at least one of the parties an audio summary of the agreement derived from the text. 2. A system as claimed in claim 1 further comprising one or more data stores providing buffer storage, wherein the one or more processors are further configured to:
buffer the data in multiple store operations, one for each event;
receive a signal indicating that the agreement is complete; and
prepare the text in response to said signal. 3. A system as claimed in claim 1 further comprising a display screen, wherein capturing data relating to the agreement comprises capturing screen data relating to each detected event. 4. A system as claimed in claim 1 wherein the one or more processors are configured to send a request for conversion of the text to a text to speech convertor and wherein the audio summary comprises the text converted into speech. 5. A system as claimed in claim 1 wherein the playing of the audio summary comprises streaming the audio summary to audio equipment associated with at least one of the parties. 6. A system as claimed in claim 1 wherein the one or more processors are configured to pause and resume the audio summary in response to user input by at least one of the parties. 7. A system as claimed in claim 1 further comprising one or more data stores and wherein the one or more processors are further configured to receive a verification indication originating from at least one of the parties and to store the verification indication such that the indication is associated with the agreement. 8. A system as claimed in claim 7 wherein the one or more processors are configured to capture the data during an interaction between two or more parties and to store a record of the interaction and wherein the indication is stored as metadata attached to the interaction data. 9. A system as claimed in claim 8 in which the data relating to the agreement comprises any of data defining the multiple events, the text and the audio summary. 10. A computer implemented method of summarising an agreement between two or more parties, the method comprising, using one or more processors:
receiving via a user interface data relating to an agreement between at least two parties derived from multiple events relating to the agreement; using the multiple event data to generate a continuous audio summary of the agreement; and presenting the audio summary to at least one of the parties. 11. A method as claimed in claim 10 comprising storing the data or the audio summary or both as a record of the agreement. 12. A method as claimed in claim 10 comprising receiving a verification indication relating to terms of the agreement presented in the audio summary and in response to receiving this signal storing a verification indication associated with the agreement. 13. A method as claimed in claim 10 wherein the audio summary is in the form of speech and wherein the using comprises creating a text summary of the agreement and converting the text to speech. 14. A method as claimed in claim 10 wherein the user interface comprises a display screen and the method further comprises capturing the data from the display screen. 15. A method as claimed in claim 10 wherein the speech summarising the whole of the agreement is presented in response to a single prompt signal. 16. A method as claimed in claim 10 comprising capturing a selection of the data relating to the agreement wherein only the captured selection of the data is used to generate the audio summary. 17. A method as claimed in claim 16 comprising receiving input defining one or more rules for the selection of data relating to the agreement wherein said capturing is performed according to said one or more rules. 18. A method as claimed in claim 17 wherein the rules define one or more triggers for one or both of the commencement of the capturing of data and the presentation of the audio summary. 19. A method as claimed in claim 10 wherein the data is in the form of text and wherein the generation of the audio summary comprises converting the text to speech. 20. A method as claimed in claim 10 wherein presenting the audio summary to the at least one of the parties comprises playing the audio summary to the at least one of the parties during a telephone call. | A computerized system for summarizing agreements between two or more parties, comprises one or more processors. The processors may be configured to capture data relating to the agreement, such as agent screen data during an interaction with a customer. The data may be captured in successive capture operations each in response to an event, such as an agent key press or data entry. The captured data may be used to prepare a continuous text summarizing the agreement. An audio summary of the agreement may be derived from the text and played to at least one of the parties.1. A computer system for summarizing an agreement between two or more parties, the system comprising one or more processors configured to:
capture data relating to the agreement in successive capture operations, each capture operation executed in response to a detected event; use the captured data to prepare a continuous text summarizing the agreement; and play to at least one of the parties an audio summary of the agreement derived from the text. 2. A system as claimed in claim 1 further comprising one or more data stores providing buffer storage, wherein the one or more processors are further configured to:
buffer the data in multiple store operations, one for each event;
receive a signal indicating that the agreement is complete; and
prepare the text in response to said signal. 3. A system as claimed in claim 1 further comprising a display screen, wherein capturing data relating to the agreement comprises capturing screen data relating to each detected event. 4. A system as claimed in claim 1 wherein the one or more processors are configured to send a request for conversion of the text to a text to speech convertor and wherein the audio summary comprises the text converted into speech. 5. A system as claimed in claim 1 wherein the playing of the audio summary comprises streaming the audio summary to audio equipment associated with at least one of the parties. 6. A system as claimed in claim 1 wherein the one or more processors are configured to pause and resume the audio summary in response to user input by at least one of the parties. 7. A system as claimed in claim 1 further comprising one or more data stores and wherein the one or more processors are further configured to receive a verification indication originating from at least one of the parties and to store the verification indication such that the indication is associated with the agreement. 8. A system as claimed in claim 7 wherein the one or more processors are configured to capture the data during an interaction between two or more parties and to store a record of the interaction and wherein the indication is stored as metadata attached to the interaction data. 9. A system as claimed in claim 8 in which the data relating to the agreement comprises any of data defining the multiple events, the text and the audio summary. 10. A computer implemented method of summarising an agreement between two or more parties, the method comprising, using one or more processors:
receiving via a user interface data relating to an agreement between at least two parties derived from multiple events relating to the agreement; using the multiple event data to generate a continuous audio summary of the agreement; and presenting the audio summary to at least one of the parties. 11. A method as claimed in claim 10 comprising storing the data or the audio summary or both as a record of the agreement. 12. A method as claimed in claim 10 comprising receiving a verification indication relating to terms of the agreement presented in the audio summary and in response to receiving this signal storing a verification indication associated with the agreement. 13. A method as claimed in claim 10 wherein the audio summary is in the form of speech and wherein the using comprises creating a text summary of the agreement and converting the text to speech. 14. A method as claimed in claim 10 wherein the user interface comprises a display screen and the method further comprises capturing the data from the display screen. 15. A method as claimed in claim 10 wherein the speech summarising the whole of the agreement is presented in response to a single prompt signal. 16. A method as claimed in claim 10 comprising capturing a selection of the data relating to the agreement wherein only the captured selection of the data is used to generate the audio summary. 17. A method as claimed in claim 16 comprising receiving input defining one or more rules for the selection of data relating to the agreement wherein said capturing is performed according to said one or more rules. 18. A method as claimed in claim 17 wherein the rules define one or more triggers for one or both of the commencement of the capturing of data and the presentation of the audio summary. 19. A method as claimed in claim 10 wherein the data is in the form of text and wherein the generation of the audio summary comprises converting the text to speech. 20. A method as claimed in claim 10 wherein presenting the audio summary to the at least one of the parties comprises playing the audio summary to the at least one of the parties during a telephone call. | 3,600 |
13,698 | 13,698 | 13,312,004 | 3,695 | A trade transaction agreement, defined as a basket, of one or more structured products, may be converted into one or more structured products. Trade information that represents the trade transaction agreement may be initially provided or specified in various forms, to subsequently be analyzed to construct the trade transaction agreement into its corresponding structured products. The structured products are suitable for submission to post-trade processing facilities for subsequent processing thereof and are accordingly submitted. The structured products may be submitted to a variety of post-trade processing facilities, or one post-trade processing facility may be utilized. | 1. A method of electronically converting a trade transaction agreement involving one or more allowable structured products that are each suitable for submission to one or more post-trade processing platforms for processing, the method comprising:
providing at least one computing device comprising a memory for storing instructions and a processor for executing said instructions, and utilizing said at least one computing device to perform the steps of: providing an interface; electronically receiving, via the interface, a selection of a pre-defined grouping of one or more structured product types for the trade transaction agreement between a first party and a second party; identifying, based on the selected pre-defined grouping, required information for each of the one or more structured products; obtaining and providing a subset of the required information; electronically receiving, via the interface, a remainder of the required information related to each structured product, wherein the trade transaction agreement is comprised of the one or more allowable structured products, each structured product defined by the required information; and electronically submitting each structured product with information identifying at least one of the first party, or a representative thereof, and the second party, or a representative thereof, to the one or more post-trade processing platforms for processing. 2. The method of claim 1, further comprising allocating a price value for each structured product, wherein a sum of the price values equals a transaction price of the trade transaction agreement. 3. The method of claim 2, wherein allocating a price value for each structured product comprises utilizing restrictions imposed by the post-trade processing facility to which each structured product is submitted. 4. The method of claim 2, wherein allocating a price value for each structured product comprises utilizing one or more algorithms or pricing models that take into account one or more of current market conditions, market constraints, and market conventions to determine a value that reflects the market for each of the one or more structured products such that the values in aggregate are consistent with constraints established by the trade transaction agreement from which the structured products were constructed. 5. The method of claim 4, wherein the algorithms and pricing models further take into account one or more of a value of an underlying asset, a model of the volatility or price movement of an underlying asset, an expiration, and a model of current and future interest rates. 6. The method of claim 1, wherein the one or more post-trade processing facilities comprise one or more of a clearing house, a confirmation facility, a settlement facility, or a trade-netting platform, and wherein the processing of each structured product by the one or more post-trade processing facilities respectively comprises one or more of clearing, confirming, settling, or trade-netting. 7. The method of claim 1, wherein the trade transaction agreement comprises at least one of an over-the-counter trade, a block trade, an exchange for swap (EFS) trade, an exchange for physical (EFP) trade, and an exchange for option (EFO) trade. 8. The method of claim 1, wherein the one or more allowable structured products are defined as allowable by the one or more post-trade processing facilities based on satisfying requirements related to at least one of volume thresholds and price ranges. 9. The method of claim 1, further comprising:
initiating a pre-confirmation functionality comprising electronically submitting a pre-confirmation request identifying each structured product individually or as a group with information identifying at least one of the first party, or a representative thereof, and the second party, or a representative thereof, to the one or more post-trade processing facilities; and receiving from the one or more post-trade processing facilities an indication, for each structured product individually or for the group, as to whether the corresponding structured products are acceptable for processing, an indication as to whether credit of the first party and the second party is adequate, or a combination thereof. 10. The method of claim 9, further comprising creating a pre-confirmation status record with, for each structured product individually or for the group, one or more fields that include the indication as to whether the corresponding structured product is acceptable for processing, the indication as to whether credit of the first party and the second party is adequate, a reason related to unacceptability, or a combination thereof. 11. The method of claim 1, further comprising:
initiating a submission functionality comprising electronically submitting each structured product to the one or more post-trade processing facilities; and receiving from the one or more post-trade processing facilities a confirmation indication, for each structured product, as to whether each of the one or more structured products is successfully processed. 12. The method of claim 11, wherein the confirmation indication from the one or more post-trade processing facilities indicates one or more structured products were not processed, the method further comprising one of:
canceling a remainder of the structured products that were processed; or resubmitting the one or more structured products that were not processed. 13. The method of claim 11, further comprising creating a confirmation record with, for each structured product, a field that includes the confirmation indication as to whether the corresponding structured product is successfully processed. 14. The method of claim 1, further comprising verifying that each structured product in a bundle is acceptable by the post-trade processing facility to which it was submitted based on available credit of the first party and the second party or based on restrictions of the post-trade processing facility. 15. The method of claim 1, further comprising determining a sequence of the one or more structured products for submission to the one or more post-trade processing facilities in the determined sequence, wherein the determined sequence suggests a high likelihood of acceptance of each of the one or more structured products. 16. The method of claim 1, wherein each of the one or more structured products comprises a financial product, wherein the financial product comprises a future, a swap, an option, or a swaption, or a combination thereof. 17. The method of claim 1, further comprising:
establishing a new trade transaction agreement by electronically receiving, based on a previously submitted basket of one or more structured products, at least one of trade information for the new trade transaction agreement, an assigned price value for one or more, structured products, an assigned volume for one or more structured products, identifying information related to the first party, and identifying information related to the second party. 18. The method of claim 1, further comprising:
adding a new structured product as specified by a user. 19. The method of claim 1, further comprising:
modifying one or more of the structured products as specified by a user. 20. The method of claim 1, further comprising:
adding multiple buyers and/or multiple sellers for the trade transaction agreement as specified by a user. 21. The method of claim 1, further comprising:
electronically receiving a plurality of sets of trade information, each set related to a trade transaction agreement; for each set of trade information for a corresponding trade transaction agreement, constructing the trade transaction agreement into one or more allowable structured products, as defined by the one or more post-trade processing facilities, based on the received trade information. 22. A system for electronically converting a trade transaction agreement involving one or more allowable structured products that are each suitable for submission to one or more post-trade processing, platforms for processing, the system comprising:
a trade transaction software application stored on a server, said software application providing functionality to convert trade transaction agreements; and one or more user third party terminals coupled to the server, said third party terminals comprising an interface for accessing the server and the trade transaction software application stored thereon; wherein the trade transaction software application, when executed, causes the server to:
electronically receive, via the interface, a selection of a pre-defined grouping of one or more structured product types for the trade transaction agreement between a first party and a second party;
identify, based on the selected pre-defined grouping, required information for each of the one or more structured products;
obtain and provide a subset of the required information;
electronically receive, via the interface, a remainder of the required information related to each structured product, wherein the trade transaction agreement is comprised of the one or more allowable structured products, each structured product defined by the required information; and
electronically submit each structured product with information identifying at least one of the first party, or a representative thereof, and the second party, or a representative thereof, to the one or more post-trade processing platforms for processing. 23. The system of claim 22, wherein the trade transaction software application, when executed, further causes, the server to allocate a price value for each structured product, wherein a sum of the price values equals a transaction price of the trade transaction agreement. 24. The system of claim 23, wherein the server allocating a price value for each structured product comprises the server utilizing restrictions imposed by the post-trade processing facility to which each structured product is submitted. 25. The system of claim 23, wherein the server allocating a price value for each structured product comprises the server utilizing one or more algorithms or pricing models that take into account one or more of current market conditions, market constraints, and market conventions to determine a value that reflects the market for each of the one or more structured products such that the values in aggregate are consistent with constraints established by the trade transaction agreement from which the structured products were constructed. 26. The system of claim 22, wherein the trade transaction software application, when executed, further causes the server to:
initiate a pre-confirmation functionality comprising electronically submitting a pre-confirmation request identifying each structured product individually or as a group with information identifying at least one of the first party, or a representative thereof, and the second party, or a representative thereof, to the one or more post-trade processing facilities; and receive from the one or more post-trade processing facilities an indication, for each structured product individually or for the group, as to whether the corresponding structured products are acceptable for processing, an indication as to whether credit of the first party and the second party is adequate, or a combination thereof. 27. The system of claim 22, wherein the trade transaction software application, when executed, further causes the server to verify that each structured product in a bundle is acceptable by the post-trade processing facility to which it: was submitted based on available credit of the first party and the second party or based on restrictions of the post-trade processing facility. | A trade transaction agreement, defined as a basket, of one or more structured products, may be converted into one or more structured products. Trade information that represents the trade transaction agreement may be initially provided or specified in various forms, to subsequently be analyzed to construct the trade transaction agreement into its corresponding structured products. The structured products are suitable for submission to post-trade processing facilities for subsequent processing thereof and are accordingly submitted. The structured products may be submitted to a variety of post-trade processing facilities, or one post-trade processing facility may be utilized.1. A method of electronically converting a trade transaction agreement involving one or more allowable structured products that are each suitable for submission to one or more post-trade processing platforms for processing, the method comprising:
providing at least one computing device comprising a memory for storing instructions and a processor for executing said instructions, and utilizing said at least one computing device to perform the steps of: providing an interface; electronically receiving, via the interface, a selection of a pre-defined grouping of one or more structured product types for the trade transaction agreement between a first party and a second party; identifying, based on the selected pre-defined grouping, required information for each of the one or more structured products; obtaining and providing a subset of the required information; electronically receiving, via the interface, a remainder of the required information related to each structured product, wherein the trade transaction agreement is comprised of the one or more allowable structured products, each structured product defined by the required information; and electronically submitting each structured product with information identifying at least one of the first party, or a representative thereof, and the second party, or a representative thereof, to the one or more post-trade processing platforms for processing. 2. The method of claim 1, further comprising allocating a price value for each structured product, wherein a sum of the price values equals a transaction price of the trade transaction agreement. 3. The method of claim 2, wherein allocating a price value for each structured product comprises utilizing restrictions imposed by the post-trade processing facility to which each structured product is submitted. 4. The method of claim 2, wherein allocating a price value for each structured product comprises utilizing one or more algorithms or pricing models that take into account one or more of current market conditions, market constraints, and market conventions to determine a value that reflects the market for each of the one or more structured products such that the values in aggregate are consistent with constraints established by the trade transaction agreement from which the structured products were constructed. 5. The method of claim 4, wherein the algorithms and pricing models further take into account one or more of a value of an underlying asset, a model of the volatility or price movement of an underlying asset, an expiration, and a model of current and future interest rates. 6. The method of claim 1, wherein the one or more post-trade processing facilities comprise one or more of a clearing house, a confirmation facility, a settlement facility, or a trade-netting platform, and wherein the processing of each structured product by the one or more post-trade processing facilities respectively comprises one or more of clearing, confirming, settling, or trade-netting. 7. The method of claim 1, wherein the trade transaction agreement comprises at least one of an over-the-counter trade, a block trade, an exchange for swap (EFS) trade, an exchange for physical (EFP) trade, and an exchange for option (EFO) trade. 8. The method of claim 1, wherein the one or more allowable structured products are defined as allowable by the one or more post-trade processing facilities based on satisfying requirements related to at least one of volume thresholds and price ranges. 9. The method of claim 1, further comprising:
initiating a pre-confirmation functionality comprising electronically submitting a pre-confirmation request identifying each structured product individually or as a group with information identifying at least one of the first party, or a representative thereof, and the second party, or a representative thereof, to the one or more post-trade processing facilities; and receiving from the one or more post-trade processing facilities an indication, for each structured product individually or for the group, as to whether the corresponding structured products are acceptable for processing, an indication as to whether credit of the first party and the second party is adequate, or a combination thereof. 10. The method of claim 9, further comprising creating a pre-confirmation status record with, for each structured product individually or for the group, one or more fields that include the indication as to whether the corresponding structured product is acceptable for processing, the indication as to whether credit of the first party and the second party is adequate, a reason related to unacceptability, or a combination thereof. 11. The method of claim 1, further comprising:
initiating a submission functionality comprising electronically submitting each structured product to the one or more post-trade processing facilities; and receiving from the one or more post-trade processing facilities a confirmation indication, for each structured product, as to whether each of the one or more structured products is successfully processed. 12. The method of claim 11, wherein the confirmation indication from the one or more post-trade processing facilities indicates one or more structured products were not processed, the method further comprising one of:
canceling a remainder of the structured products that were processed; or resubmitting the one or more structured products that were not processed. 13. The method of claim 11, further comprising creating a confirmation record with, for each structured product, a field that includes the confirmation indication as to whether the corresponding structured product is successfully processed. 14. The method of claim 1, further comprising verifying that each structured product in a bundle is acceptable by the post-trade processing facility to which it was submitted based on available credit of the first party and the second party or based on restrictions of the post-trade processing facility. 15. The method of claim 1, further comprising determining a sequence of the one or more structured products for submission to the one or more post-trade processing facilities in the determined sequence, wherein the determined sequence suggests a high likelihood of acceptance of each of the one or more structured products. 16. The method of claim 1, wherein each of the one or more structured products comprises a financial product, wherein the financial product comprises a future, a swap, an option, or a swaption, or a combination thereof. 17. The method of claim 1, further comprising:
establishing a new trade transaction agreement by electronically receiving, based on a previously submitted basket of one or more structured products, at least one of trade information for the new trade transaction agreement, an assigned price value for one or more, structured products, an assigned volume for one or more structured products, identifying information related to the first party, and identifying information related to the second party. 18. The method of claim 1, further comprising:
adding a new structured product as specified by a user. 19. The method of claim 1, further comprising:
modifying one or more of the structured products as specified by a user. 20. The method of claim 1, further comprising:
adding multiple buyers and/or multiple sellers for the trade transaction agreement as specified by a user. 21. The method of claim 1, further comprising:
electronically receiving a plurality of sets of trade information, each set related to a trade transaction agreement; for each set of trade information for a corresponding trade transaction agreement, constructing the trade transaction agreement into one or more allowable structured products, as defined by the one or more post-trade processing facilities, based on the received trade information. 22. A system for electronically converting a trade transaction agreement involving one or more allowable structured products that are each suitable for submission to one or more post-trade processing, platforms for processing, the system comprising:
a trade transaction software application stored on a server, said software application providing functionality to convert trade transaction agreements; and one or more user third party terminals coupled to the server, said third party terminals comprising an interface for accessing the server and the trade transaction software application stored thereon; wherein the trade transaction software application, when executed, causes the server to:
electronically receive, via the interface, a selection of a pre-defined grouping of one or more structured product types for the trade transaction agreement between a first party and a second party;
identify, based on the selected pre-defined grouping, required information for each of the one or more structured products;
obtain and provide a subset of the required information;
electronically receive, via the interface, a remainder of the required information related to each structured product, wherein the trade transaction agreement is comprised of the one or more allowable structured products, each structured product defined by the required information; and
electronically submit each structured product with information identifying at least one of the first party, or a representative thereof, and the second party, or a representative thereof, to the one or more post-trade processing platforms for processing. 23. The system of claim 22, wherein the trade transaction software application, when executed, further causes, the server to allocate a price value for each structured product, wherein a sum of the price values equals a transaction price of the trade transaction agreement. 24. The system of claim 23, wherein the server allocating a price value for each structured product comprises the server utilizing restrictions imposed by the post-trade processing facility to which each structured product is submitted. 25. The system of claim 23, wherein the server allocating a price value for each structured product comprises the server utilizing one or more algorithms or pricing models that take into account one or more of current market conditions, market constraints, and market conventions to determine a value that reflects the market for each of the one or more structured products such that the values in aggregate are consistent with constraints established by the trade transaction agreement from which the structured products were constructed. 26. The system of claim 22, wherein the trade transaction software application, when executed, further causes the server to:
initiate a pre-confirmation functionality comprising electronically submitting a pre-confirmation request identifying each structured product individually or as a group with information identifying at least one of the first party, or a representative thereof, and the second party, or a representative thereof, to the one or more post-trade processing facilities; and receive from the one or more post-trade processing facilities an indication, for each structured product individually or for the group, as to whether the corresponding structured products are acceptable for processing, an indication as to whether credit of the first party and the second party is adequate, or a combination thereof. 27. The system of claim 22, wherein the trade transaction software application, when executed, further causes the server to verify that each structured product in a bundle is acceptable by the post-trade processing facility to which it: was submitted based on available credit of the first party and the second party or based on restrictions of the post-trade processing facility. | 3,600 |
13,699 | 13,699 | 14,709,349 | 3,626 | A system for reducing processor workload is provided that includes an engagement module operating on the processor and configured to generate one or more profile user interface controls in response to data received from a mapped clinical intelligence rule and to generate user profile data in response to user selection of the profile user interface controls. An assessment module operating on the processor and configured to generate one or more assessment user interface controls in response to data received from the mapped clinical intelligence rule and to generate assessment data in response to user selection of the assessment user interface controls. The mapped clinical intelligence rule includes one or more algorithms for generating a relevancy metric for the one or more profile user interface controls and the one or more assessment user interface controls. | 1. A system for reducing processor workload comprising:
an engagement module operating on the processor and configured to generate one or more profile user interface controls in response to data received from a mapped clinical intelligence rule and to generate user profile data in response to user selection of the profile user interface controls; an assessment module operating on the processor and configured to generate one or more assessment user interface controls in response to data received from the mapped clinical intelligence rule and to generate assessment data in response to user selection of the assessment user interface controls; and wherein the mapped clinical intelligence rule includes one or more algorithms for generating a relevancy metric for the one or more profile user interface controls and the one or more assessment user interface controls. 2. The system of claim 1 further comprising an action plan module operating on the processor and configured to generate one or more action plan user interface controls in response to data received from the mapped clinical intelligence rule and to generate action plan data in response to user selection of the action plan user interface controls. 3. The system of claim 2 wherein the mapped clinical intelligence rule includes one or more algorithms for generating a relevancy metric for the one or more action plan user interface controls. 4. The system of claim 1 wherein the assessment module further comprises a response module having a plurality of operative links to a topics module, wherein selection of one of a plurality of responses results in the generation of an associated suggested topic for the selected response. 5. The system of claim 1 wherein the assessment module further comprises a response module having a plurality of operative links to a goals module, wherein selection of one of a plurality of responses results in the generation of an associated goal for the selected response. 6. The system of claim 1 wherein the assessment module further comprises a response module having a plurality of operative links to an actions module, wherein selection of one of a plurality of responses results in the generation of an associated action for the selected response. 7. The system of claim 1 wherein the assessment module further comprises a response module having a plurality of operative links to a barriers module, wherein selection of one of a plurality of responses results in the generation of an associated barrier for the selected response. 8. The system of claim 5 further comprising an action plan module operating on the processor and configured to generate one or more action plan user interface controls in response to data received from the mapped clinical intelligence rule and to generate action plan data in response to user selection of the action plan user interface controls and the associated goal. 9. The system of claim 6 further comprising an action plan module operating on the processor and configured to generate one or more action plan user interface controls in response to data received from the mapped clinical intelligence rule and to generate action plan data in response to user selection of the action plan user interface controls and the associated action. 10. The system of claim 7 further comprising an action plan module operating on the processor and configured to generate one or more action plan user interface controls in response to data received from the mapped clinical intelligence rule and to generate action plan data in response to user selection of the action plan user interface controls and the associated barrier. 11. A method for reducing processor workload comprising:
generating one or more profile user interface controls using a processor in response to data received from a mapped clinical intelligence rule; generating user profile data in response to user selection of the profile user interface controls; generating one or more assessment user interface controls in response to data received from the mapped clinical intelligence rule; generating assessment data in response to user selection of the assessment user interface controls; and wherein the mapped clinical intelligence rule includes one or more algorithms for generating a relevancy metric for the one or more profile user interface controls and the one or more assessment user interface controls. 12. The method of claim 11 further comprising:
generating one or more action plan user interface controls in response to data received from the mapped clinical intelligence rule; and
generating action plan data in response to user selection of the action plan user interface controls. 13. The method of claim 12 wherein the mapped clinical intelligence rule includes one or more algorithms for generating a relevancy metric for the one or more action plan user interface controls. 14. The method of claim 11 further comprising providing a plurality of operative links to a topics module, wherein selection of one of a plurality of responses results in the generation of an associated suggested topic for the selected response. 15. The method of claim 11 wherein selection of one of a plurality of responses results in the generation of an associated goal for the selected response. 16. The method of claim 11 wherein selection of one of a plurality of responses results in the generation of an associated action for the selected response. 17. The method of claim 11 wherein selection of one of a plurality of responses results in the generation of an associated barrier for the selected response. 18. The method of claim 15 further comprising:
generating one or more action plan user interface controls in response to data received from the mapped clinical intelligence rule; and
generating action plan data in response to user selection of the action plan user interface controls and the associated goal. 19. The method of claim 16 further comprising:
generating one or more action plan user interface controls in response to data received from the mapped clinical intelligence rule; and
generating action plan data in response to user selection of the action plan user interface controls and the associated action. 20. In a system for reducing processor workload comprising an engagement module operating on the processor and configured to generate one or more profile user interface controls in response to data received from a mapped clinical intelligence rule and to generate user profile data in response to user selection of the profile user interface controls, an assessment module operating on the processor and configured to generate one or more assessment user interface controls in response to data received from the mapped clinical intelligence rule and to generate assessment data in response to user selection of the assessment user interface controls, an action plan module operating on the processor and configured to generate one or more action plan user interface controls in response to data received from the mapped clinical intelligence rule and to generate action plan data in response to user selection of the action plan user interface controls, wherein the mapped clinical intelligence rule includes one or more algorithms for generating a relevancy metric for the one or more profile user interface controls and the one or more assessment user interface controls, wherein the mapped clinical intelligence rule includes one or more algorithms for generating a relevancy metric for the one or more action plan user interface controls, wherein the assessment module further comprises a response module having a plurality of operative links to a topics module, wherein selection of one of a plurality of responses results in the generation of an associated suggested topic for the selected response, wherein the assessment module further comprises a response module having a plurality of operative links to a goals module, wherein selection of one of a plurality of responses results in the generation of an associated goal for the selected response, wherein the assessment module further comprises a response module having a plurality of operative links to an actions module, wherein selection of one of a plurality of responses results in the generation of an associated action for the selected response, wherein the assessment module further comprises a response module having a plurality of operative links to a barriers module, wherein selection of one of a plurality of responses results in the generation of an associated barrier for the selected response, an action plan module operating on the processor and configured to generate one or more action plan user interface controls in response to data received from the mapped clinical intelligence rule and to generate action plan data in response to user selection of the action plan user interface controls and the associated goal, the action plan module configured to generate one or more action plan user interface controls in response to data received from the mapped clinical intelligence rule and to generate action plan data in response to user selection of the action plan user interface controls and the associated action, the action plan module configured to generate one or more action plan user interface controls in response to data received from the mapped clinical intelligence rule and to generate action plan data in response to user selection of the action plan user interface controls and the associated barrier, a method comprising:
generating one or more profile user interface controls using a processor in response to data received from a mapped clinical intelligence rule; generating user profile data in response to user selection of the profile user interface controls; generating one or more assessment user interface controls in response to data received from the mapped clinical intelligence rule; generating assessment data in response to user selection of the assessment user interface controls; generating one or more action plan user interface controls in response to data received from the mapped clinical intelligence rule; generating action plan data in response to user selection of the action plan user interface controls; providing a plurality of operative links to a topics module, wherein selection of one of a plurality of responses results in the generation of an associated suggested topic for the selected response; generating one or more action plan user interface controls in response to data received from the mapped clinical intelligence rule; generating action plan data in response to user selection of the action plan user interface controls and the associated goal; generating one or more action plan user interface controls in response to data received from the mapped clinical intelligence rule; generating action plan data in response to user selection of the action plan user interface controls and the associated action; wherein the mapped clinical intelligence rule includes one or more algorithms for generating a relevancy metric for the one or more profile user interface controls and the one or more assessment user interface controls; wherein the mapped clinical intelligence rule includes one or more algorithms for generating a relevancy metric for the one or more action plan user interface controls; wherein selection of one of a plurality of responses results in the generation of an associated goal for the selected response; wherein selection of one of a plurality of responses results in the generation of an associated action for the selected response; and wherein selection of one of a plurality of responses results in the generation of an associated barrier for the selected response. | A system for reducing processor workload is provided that includes an engagement module operating on the processor and configured to generate one or more profile user interface controls in response to data received from a mapped clinical intelligence rule and to generate user profile data in response to user selection of the profile user interface controls. An assessment module operating on the processor and configured to generate one or more assessment user interface controls in response to data received from the mapped clinical intelligence rule and to generate assessment data in response to user selection of the assessment user interface controls. The mapped clinical intelligence rule includes one or more algorithms for generating a relevancy metric for the one or more profile user interface controls and the one or more assessment user interface controls.1. A system for reducing processor workload comprising:
an engagement module operating on the processor and configured to generate one or more profile user interface controls in response to data received from a mapped clinical intelligence rule and to generate user profile data in response to user selection of the profile user interface controls; an assessment module operating on the processor and configured to generate one or more assessment user interface controls in response to data received from the mapped clinical intelligence rule and to generate assessment data in response to user selection of the assessment user interface controls; and wherein the mapped clinical intelligence rule includes one or more algorithms for generating a relevancy metric for the one or more profile user interface controls and the one or more assessment user interface controls. 2. The system of claim 1 further comprising an action plan module operating on the processor and configured to generate one or more action plan user interface controls in response to data received from the mapped clinical intelligence rule and to generate action plan data in response to user selection of the action plan user interface controls. 3. The system of claim 2 wherein the mapped clinical intelligence rule includes one or more algorithms for generating a relevancy metric for the one or more action plan user interface controls. 4. The system of claim 1 wherein the assessment module further comprises a response module having a plurality of operative links to a topics module, wherein selection of one of a plurality of responses results in the generation of an associated suggested topic for the selected response. 5. The system of claim 1 wherein the assessment module further comprises a response module having a plurality of operative links to a goals module, wherein selection of one of a plurality of responses results in the generation of an associated goal for the selected response. 6. The system of claim 1 wherein the assessment module further comprises a response module having a plurality of operative links to an actions module, wherein selection of one of a plurality of responses results in the generation of an associated action for the selected response. 7. The system of claim 1 wherein the assessment module further comprises a response module having a plurality of operative links to a barriers module, wherein selection of one of a plurality of responses results in the generation of an associated barrier for the selected response. 8. The system of claim 5 further comprising an action plan module operating on the processor and configured to generate one or more action plan user interface controls in response to data received from the mapped clinical intelligence rule and to generate action plan data in response to user selection of the action plan user interface controls and the associated goal. 9. The system of claim 6 further comprising an action plan module operating on the processor and configured to generate one or more action plan user interface controls in response to data received from the mapped clinical intelligence rule and to generate action plan data in response to user selection of the action plan user interface controls and the associated action. 10. The system of claim 7 further comprising an action plan module operating on the processor and configured to generate one or more action plan user interface controls in response to data received from the mapped clinical intelligence rule and to generate action plan data in response to user selection of the action plan user interface controls and the associated barrier. 11. A method for reducing processor workload comprising:
generating one or more profile user interface controls using a processor in response to data received from a mapped clinical intelligence rule; generating user profile data in response to user selection of the profile user interface controls; generating one or more assessment user interface controls in response to data received from the mapped clinical intelligence rule; generating assessment data in response to user selection of the assessment user interface controls; and wherein the mapped clinical intelligence rule includes one or more algorithms for generating a relevancy metric for the one or more profile user interface controls and the one or more assessment user interface controls. 12. The method of claim 11 further comprising:
generating one or more action plan user interface controls in response to data received from the mapped clinical intelligence rule; and
generating action plan data in response to user selection of the action plan user interface controls. 13. The method of claim 12 wherein the mapped clinical intelligence rule includes one or more algorithms for generating a relevancy metric for the one or more action plan user interface controls. 14. The method of claim 11 further comprising providing a plurality of operative links to a topics module, wherein selection of one of a plurality of responses results in the generation of an associated suggested topic for the selected response. 15. The method of claim 11 wherein selection of one of a plurality of responses results in the generation of an associated goal for the selected response. 16. The method of claim 11 wherein selection of one of a plurality of responses results in the generation of an associated action for the selected response. 17. The method of claim 11 wherein selection of one of a plurality of responses results in the generation of an associated barrier for the selected response. 18. The method of claim 15 further comprising:
generating one or more action plan user interface controls in response to data received from the mapped clinical intelligence rule; and
generating action plan data in response to user selection of the action plan user interface controls and the associated goal. 19. The method of claim 16 further comprising:
generating one or more action plan user interface controls in response to data received from the mapped clinical intelligence rule; and
generating action plan data in response to user selection of the action plan user interface controls and the associated action. 20. In a system for reducing processor workload comprising an engagement module operating on the processor and configured to generate one or more profile user interface controls in response to data received from a mapped clinical intelligence rule and to generate user profile data in response to user selection of the profile user interface controls, an assessment module operating on the processor and configured to generate one or more assessment user interface controls in response to data received from the mapped clinical intelligence rule and to generate assessment data in response to user selection of the assessment user interface controls, an action plan module operating on the processor and configured to generate one or more action plan user interface controls in response to data received from the mapped clinical intelligence rule and to generate action plan data in response to user selection of the action plan user interface controls, wherein the mapped clinical intelligence rule includes one or more algorithms for generating a relevancy metric for the one or more profile user interface controls and the one or more assessment user interface controls, wherein the mapped clinical intelligence rule includes one or more algorithms for generating a relevancy metric for the one or more action plan user interface controls, wherein the assessment module further comprises a response module having a plurality of operative links to a topics module, wherein selection of one of a plurality of responses results in the generation of an associated suggested topic for the selected response, wherein the assessment module further comprises a response module having a plurality of operative links to a goals module, wherein selection of one of a plurality of responses results in the generation of an associated goal for the selected response, wherein the assessment module further comprises a response module having a plurality of operative links to an actions module, wherein selection of one of a plurality of responses results in the generation of an associated action for the selected response, wherein the assessment module further comprises a response module having a plurality of operative links to a barriers module, wherein selection of one of a plurality of responses results in the generation of an associated barrier for the selected response, an action plan module operating on the processor and configured to generate one or more action plan user interface controls in response to data received from the mapped clinical intelligence rule and to generate action plan data in response to user selection of the action plan user interface controls and the associated goal, the action plan module configured to generate one or more action plan user interface controls in response to data received from the mapped clinical intelligence rule and to generate action plan data in response to user selection of the action plan user interface controls and the associated action, the action plan module configured to generate one or more action plan user interface controls in response to data received from the mapped clinical intelligence rule and to generate action plan data in response to user selection of the action plan user interface controls and the associated barrier, a method comprising:
generating one or more profile user interface controls using a processor in response to data received from a mapped clinical intelligence rule; generating user profile data in response to user selection of the profile user interface controls; generating one or more assessment user interface controls in response to data received from the mapped clinical intelligence rule; generating assessment data in response to user selection of the assessment user interface controls; generating one or more action plan user interface controls in response to data received from the mapped clinical intelligence rule; generating action plan data in response to user selection of the action plan user interface controls; providing a plurality of operative links to a topics module, wherein selection of one of a plurality of responses results in the generation of an associated suggested topic for the selected response; generating one or more action plan user interface controls in response to data received from the mapped clinical intelligence rule; generating action plan data in response to user selection of the action plan user interface controls and the associated goal; generating one or more action plan user interface controls in response to data received from the mapped clinical intelligence rule; generating action plan data in response to user selection of the action plan user interface controls and the associated action; wherein the mapped clinical intelligence rule includes one or more algorithms for generating a relevancy metric for the one or more profile user interface controls and the one or more assessment user interface controls; wherein the mapped clinical intelligence rule includes one or more algorithms for generating a relevancy metric for the one or more action plan user interface controls; wherein selection of one of a plurality of responses results in the generation of an associated goal for the selected response; wherein selection of one of a plurality of responses results in the generation of an associated action for the selected response; and wherein selection of one of a plurality of responses results in the generation of an associated barrier for the selected response. | 3,600 |
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