doc_id
stringlengths 7
11
| appl_id
stringlengths 8
8
| flag_patent
int64 0
1
| claim_one
stringlengths 13
21.5k
|
|---|---|---|---|
8078565
|
11761776
| 1
|
1. In a knowledge management system; a method for organically ranked knowledge and categorization, the method comprising: bookmarking answer content for a first end user of the knowledge management system executing in memory of a computer; suggesting a set of categories previously associated with the answer content by other end users of the knowledge management system; and, categorizing the bookmarked answer content with a category selected from the set of categories; wherein suggesting a set of categories previously associated with the answer content by other end users of the knowledge management system, comprises: sorting a set of categories previously associated with the answer content by other end users of the knowledge system according to a rank order determined by self-learning scores for each of the categories; and, presenting the sorted set of categories to the first end user.
|
8140539
|
12186997
| 1
|
1. A method, comprising: obtaining an all-distance bottom-k sketch; computing adjusted weights of the all-distance bottom-k sketch via a Markov-chain based method by utilizing a processor; deriving a bottom-k sketch from the all-distance bottom-k sketch by utilizing the processor; applying the adjusted weights to items in the bottom-k sketch by utilizing the processor; estimating properties of flows through a router based upon the adjusted weights of the all-distance bottom-k sketch of the flows and based on corresponding estimators of a k-min sketch associated with the all-distance bottom-k sketch; estimating a size of subpopulations of items of the flows based on the adjusted weights; and calculating a selectivity of the subpopulations based on the adjusted weights.
|
8938713
|
13369697
| 1
|
1. A method of developing a collective operation for execution in a parallel computer, the parallel computer comprising a plurality of compute nodes coupled for data communications by one or more data communications networks, the method comprising: receiving, by a collective development tool, a specification of a target collective operation to develop; receiving, by the collective development tool, a specification of computer hardware characteristics of the parallel computer within which the target collective operation will be executed, the specification of computer hardware characteristics comprising a specification of a network topology; selecting, by the collective development tool automatically without user interaction, iteratively for each stage of the target collective operation, a collective primitive in dependence upon the specification of computer hardware characteristics and a predefined set of rules specifying selection criteria of collective primitives based on computer hardware characteristics and the target collective operation to develop; generating, by the collective development tool, the target collective operation by linking the selected collective primitives with glue modules; and determining whether the target collective operation meets user-specified collective operation criteria, the user-specified collective operation criteria comprising a specification of a maximum number of collective primitives; and if the target collective operation does not meet user-specified collective operation criteria, performing, by the collective development tool, a subsequent iteration of collective operation development for the target collective operation.
|
7797662
|
11669158
| 1
|
1. A method for circuit design, comprising: identifying a parametric cell (P-cell) in a design of an integrated circuit, the P-cell comprising a closed environment containing a transmission line (T-line) and one or more elements of the design selected from a group of the elements consisting of crossing lines and parallel lines in a neighborhood of the T-line; optimizing a geometry of the P-cell in order to minimize a sensitivity of the P-cell to a design environment of the P-cell; providing a parametric model of the P-cell, the parametric model defining electrical properties of the P-cell as a function of geometrical parameters of the P-cell; and simulating, on a computer, the design of the integrated circuit using the parametric model wherein simulating the design comprises identifying a critical path in the design, formulating design requirements with respect to the critical path, choosing the P-cell based on the design requirements, and performing small-circuit simulations to determine whether the design requirements are met.
|
20090030925
|
11781920
| 0
|
1. A method of generating biomolecular clustering patterns comprising: receiving a plurality of sequences across a plurality of species, each of the sequences including monomers; mapping at least a portion of the plurality of sequences to an evolutionary tree, the evolutionary tree including a plurality of nodes corresponding to the sequences in a hierarchical arrangement; identifying a plurality of positions in the sequences as occurring in at least a predetermined number of sequences in the plurality of sequences; counting evolutionary events in each of the identified plurality of positions at each identified node in the evolutionary tree; and identifying related positions based on the counting.
|
20130288758
|
13414507
| 0
|
1. A platform apparatus that processes the execution results of one or more serious games, the platform apparatus comprising: a data processing unit that receives output packets produced from each serious game in execution for measuring and developing a user's cognitive abilities and that generates game data from the output packets; an analysis processing unit that generates, based on the game data, analysis data for measuring the user's brain function; and a result display unit that displays the analysis data to the user through an UI (user interface), wherein the one or more serious game includes one or more of a serious game for memory, a serious game for psycho-motor, a serious game for attention, a serious game for executive function, and a serious game for emotion, the output packets contain one or more of information of a user playing the serious game, information of a character used by the user during execution of the serious game, time information of the user for operating the input device, position information of a cursor the user controlling via the input device, information of a collision between the character and objects appearing in the serious game, a correct answer rate of the user's response to events in the game, and a reaction error rate of the user's response to the events, and the game data contains one or more of a reaction time of the user to the events occurring during the execution of the serious game, a reaction error rate of the user's response to the events, and an accumulated distance of the cursor movement during the execution of the serious game.
|
20100293123
|
12760126
| 0
|
1. A system comprising: one or more computer-readable media including computer-executable instructions that are executable by one or more processors to implement a method of generating a representation of a situation, the method comprising: receiving input data regarding a target population; constructing a synthetic data set including a synthetic population based on the input data, wherein the synthetic population includes a plurality of synthetic entities, wherein each synthetic entity has a one-to-one correspondence with an entity in the target population, wherein each synthetic entity is assigned one or more attributes based on information included in the input data; receiving activity data for a plurality of entities in the target population; generating activity schedules for each synthetic entity in the synthetic population, wherein each synthetic entity is assigned at least one activity schedule based on the attributes assigned to the synthetic entity and information included in the activity data, wherein an activity schedule describes the activities of the synthetic entity and includes a location associated with each activity; receiving additional data relevant to the situation being represented, wherein the additional data is received from at least two distinct information sources; modifying the synthetic data set based on the additional data, wherein modifying the synthetic data set includes integrating at least a portion of the additional data received from each of the at least two distinct information sources into the synthetic data set based on one or more behavioral theories related to the synthetic population; and generating a social contact network based on the synthetic data set, wherein the social contact network is used to generate the representation of the situation.
|
8913783
|
12913861
| 1
|
1. A computer implemented method for determining a vehicle type of a vehicle detected in an image, comprising the steps of: receiving an image comprising a detected vehicle; projecting a plurality of vehicle models comprising salient feature locations on the detected vehicle in the image, wherein each vehicle model is associated with a vehicle type; comparing a first set of features derived from each of the salient feature locations of the vehicle models to a second set of features derived from corresponding salient feature locations of the detected vehicle to form a plurality of positive match scores (p-scores) and a plurality of negative match scores (n-scores); and classifying the detected vehicle as one of the plurality of vehicle models by: forming a feature vector of n-scores and p-scores; training a set of specific vehicle-type (SVM) classifiers; comparing the detected vehicle to each of the trained classifiers; and associating the detected vehicle with a selected trained classifier based on a confidence value produced by the selected trained classifier.
|
20060212892
|
11361115
| 0
|
1. A method of distributing digital data to customer households comprising the steps of: blanket transmitting a plurality of digital data content to customer households in a digital, highly compressed form and with degraded resolution; permitting each customer household to preselect and record desired digital data content in the highly compressed form in which they are transmitted; permitting decoding of digital data that the customer household wishes to view, followed by permitting upconverting, only upon authorized selection for viewing by the customer, the preselected digital data content during display of the digital data content in real time to a resolution at least as high as that of the digital data content before it was degraded; receiving digital data playback information from each customer household to a central controller system; and billing customer households for those recorded digital data that are actually played back for viewing.
|
10101820
|
15216060
| 1
|
1. A system for processing user interests, comprising: an interface for receiving an inputted interest and an inputted context from a user, wherein the inputted context includes a natural language input; a gesture management system that receives gesture data from a collection device with the inputted interest to identify a gesture from a set of gestures predefined by the user; a pattern detection system that receives behavior data associated with the inputted interest and determines whether the behavior data includes a recognized behavior pattern based on previously collected behavior data of the user, in which the recognized behavior pattern was not predefined by the user; an interest affinity scoring system that calculates an affinity score for the inputted interest based on an identified gesture and a recognized behavior pattern; a dynamic classification system that assigns a dynamically generated tag to the inputted interest based on the natural language input; and a user interest database that stores structured interest information for the user, including a unique record for the inputted interest that includes the affinity score and dynamically generated tag.
|
20150278579
|
14434056
| 0
|
1. A method comprising: providing, by a system having a processor, a probabilistic model based on an output of a matching procedure that matches a particular object to representations of objects, the probabilistic model relating a probability of an object being present to a number of matching features, and using, by the system, the probabilistic model for detecting whether a particular object is present in received visual data.
|
20060085172
|
11244862
| 0
|
1. A method for transaction-based abstraction of a hardware design comprising the steps of: selecting one or more transaction-processing finite state machines (FSMs), wherein the one or more transaction-processing FSMs determine one or more transaction boundaries, a transaction boundary being a starting and ending time step of a transaction; extracting the one or more transaction-processing FSMs; and obtaining an abstracted FSM based upon the one or more extracted transaction-processing FSMs.
|
9388452
|
13638919
| 1
|
1. A method for modeling protein stability over time, comprising the steps: (a) determining a stability of a protein at a plurality of different temperatures within a specific temperature range, wherein the protein stability comprises a measure of retention of enzymatic activity over time; (b) creating an Arrhenius plot comprising the stability of the protein at the plurality of temperatures determined in step (a), the Arrhenius plot having a linear portion at lower temperatures and a non-linear portion at higher temperatures, the linear and non-linear portions joining at an inflection point on the Arrhenius plot; (c) identifying the inflection point at the junction between the linear portion and the non-linear portion of the Arrhenius plot created in step (b); (d) determining an assay temperature consisting of the temperature at the inflection point of the Arrhenius plot created in step (b); (e) performing an accelerated stability study of the protein at the assay temperature determined in step (d), wherein the stability study comprises determining a retention of enzymatic activity over time; and (f) determining a stability of the protein at a second temperature based on the accelerated stability data obtained in step (e), wherein the second temperature is lower than the assay temperature.
|
20020061741
|
09921296
| 0
|
1. An apparatus for providing context sensitive dynamic data via wireless networks comprising: an information source element configured to provide data to a data service element which uses the provided data to register with a directory service element; and wherein a client subsequently requests a service from a directory service polling subelement, which sends a lookup query to the directory service which, in turn provides services matching those requested by the client, to a candidate service filtering subelement, where candidate services are isolated, and are submitted to a target service filtering subelement; where target services are isolated and provided to the client and the isolated candidate services serve as the basis for registering the client's interest with a client update decision subelement and the client update decision subelement provides an updated service entry of candidate services to the target service filtering subelement and the directory service update decision subelement provides an updated service entry to the directory service.
|
9715532
|
15289885
| 1
|
1. A method, comprising: selecting, by a server system, an object user; obtaining, by the server system, content objects associated with the object user; determining, by the server system, a ranking of the content objects; determining, by the server system, a rotation value; presenting, by the server system, the content objects based on the ranking of the content objects and the rotation value; obtaining, by the server system, user feedback associated with the presented content objects, the user feedback comprising one or more user interface inputs, the user feedback obtained at least partially from one or more remote user systems over a communication network; determining, by the server system, an empirical content object score for each of the content objects based on the user feedback; obtaining, by the server system, behavioral data of an observer user, the observer user being a presentation target of the presented content objects; determining, by the server system, a behavioral score for each of at least one content object of the content objects based on the behavioral data; determining, by the server system, a composite score for each of the at least one content object of the content objects, each composite score determined based on the empirical score and the behavioral score associated with a corresponding content object; updating, by the server system, the ranking of the content objects based on the one or more composite scores; and presenting, by the server system, at least one of the content objects to the observer user based on the updated ranking.
|
6166960
|
09405450
| 1
|
1. An electronic system having an electrically erasable programmable read only memory (EEPROM), said system comprising: a processor; an analog-to-digital converter (ADC); an EEPROM; EEPROM programming logic; and a charge pump for generating an EEPROM programming voltage; wherein the EEPROM programming voltage generated by said charge pump is converted from an analog value to a digital value by said ADC and the digital value of the EEPROM programming voltage is read by said processor to determine if the digital value is equal to or greater than a desired value; whereby, if the generated EEPROM programming voltage is equal to or greater than the desired value then said EEPROM programming logic is enabled to perform a programming operation on said EEPROM; and if the generated EEPROM programming voltage is less than the desired value then said EEPROM programming logic is inhibited from performing a programming operation on said EEPROM.
|
9767427
|
12432951
| 1
|
1. A method comprising: building, with a computer, a model of multi-dimensional sequence data in real-time with cuboids that aggregate the multi-dimensional sequence data over both patterns and dimensions, wherein building the model in real-time includes: processing event instances into a base cuboid of the model as the event instances come; and incrementally updating one or more other cuboids in the model by propagating the event instances bottom-up through a pattern hierarchy and a category hierarchy; and providing, with a computer, search results for a query in real-time as events that are aggregated into the multi-dimensional sequence data occur.
|
20120073824
|
12903744
| 0
|
1. A computer-implemented method for full-wavefield inversion of measured geophysical data to determine a physical properties model for a subsurface region, comprising: using a computer to invert a selected shallow time window of arrivals from the measured geophysical data by simultaneous encoded sources and/or receivers inversion to obtain a first physical properties model for the subsurface region; using a computer to invert the measured geophysical data, or a selected deep time window of arrivals from the measured geophysical data, by iterative sequential source inversion to obtain a second physical properties model for the subsurface region, wherein the first physical properties model is used as a starting model and a set of source locations is used to update the second physical properties model in the iterative sequential source inversion; and outputting, displaying, or saving to data storage the second physical properties model of the subsurface region.
|
9383972
|
14549491
| 1
|
1. An apparatus comprising: memory to store definitions of Constituents comprising at least one Entity and at least one Relation, wherein the at least one Entity and the at least one Relation are associated with data structure types, wherein a Kind of the at least one Entity comprises an EntityKind, the EntityKind to define a property called Stages, wherein Stages defines a sequence of stages of progress for an instance of the EntityKind, wherein different EntityKinds can define Stages differently, wherein each stage of the sequence of stages contains a first code and a second code within its definition, the first code to be executed for the Entity to progress forward in stages of resolution to a next stage; and the second code to be executed for the Entity to progress backward in stages of resolution to a previous stage, wherein each Entity has a specific stage of the sequence of stages as part of its state to describe a state for an Entity instance that is being realized or terminated from a Model; and circuitry coupled with the memory comprising logic, wherein the logic comprises one or more processor to create instances of the at least one Entity in the Model, wherein each of the instances of the at least one Entity comprises definitions including the state, the state representing a progression through stages of resolution for the corresponding instance of the at least one Entity, wherein each of the instances of the at least one Entity comprises code for execution by the one or more processor to determine realized states of the instances of the at least one Entity by determining a current context of the Model and integrating the current context in each of the instances of the at least one Entity, and wherein each of the instances of the at least one Entity comprises code for execution by the one or more processor to resolve instances of the at least one Entity by resolving definitions of each of the instances of the at least one Entity in the Model.
|
8684740
|
11423163
| 1
|
1. A computer-implemented method for building vocabulary skills and improving accuracy and fluency in critical thinking and abstract reasoning in a student, utilizing a computing device to present stimuli and to record responses, the method comprising: utilizing the computing device to perform: providing an analogy set comprising a plurality of analogy pairs; displaying an analogy pair from the analogy set via the computing device, and the analogy pair is presented in a non-cloze format of A 1 is to A 2 as B 1 is to B 2 ; presenting a set of categories to the student, wherein one of the set of categories is the category that describes both a relationship between A 1 and A 2 and the relationship between B 1 and B 2 ; requiring the student to select a category for the analogy pair from the set of categories; recording the selection on a memory of the computing device; determining if the student selected the category correctly; and repeating said displaying an analogy pair, said presenting a set of categories, said requiring the student to select a category, said recording, and said determining if the student selected the category correctly for each analogy pair in the analogy set; wherein said repeating said displaying an analogy pair, said presenting a set of categories, said requiring the student to select a category, said recording, and said determining if the student selected the category correctly for each analogy pair builds vocabulary skills and improves accuracy and fluency in critical thinking and abstract reasoning in the student.
|
20100017263
|
12300494
| 0
|
1. A corporation call center system having real time capabilities, which comprises: a. storage for at least a portion of the operational database of the corporation; b. analysis module for analyzing the data of said storage, and forming model tables describing some selling and purchasing pattern of behavior as realized from prior knowledge, and model engine programs for operating with said model tables; c. model engine programs for: initially, and in real time during a specific interaction with a customer, substituting real values relating to said specific interaction in said model tables, and determining respectively a most valuable parameter for the corporation or a ranking list of most valuable parameters which has to be obtained from said customer, and providing the same to a real time engine for introduction in real time to said customer; and upon receipt of real value for said most valuable parameter from the customer, determining in real time by using said model tables a most attractive product or a ranking list of most attractive products, and conveying the same to said real time engine for introduction as an offer to said customer; d. a real time engine for: during said interaction of an agent with a specific customer, receiving from said model engine programs either said most valuable parameter for the corporation or said ranking list of most valuable parameters, and introducing the same as a real time message to the agent for questioning by the agent, to the client, a real value for the same, and upon receipt of said real value from said agent, conveying it to said model engine programs; receiving from said model engine programs an indication relating to a most attractive product or a ranking list of most attractive products, and initiating in real time a respective message to the agent notifying him to offer the customer one or more of said most attractive products.
|
20060235557
|
11368866
| 0
|
1. A computer-implemented method for determining an optimal lot size for multiple items in a flow path, comprising: (a) receiving a selection of a lot size for each item in the flow path; (b) based at least in part on the selected lot sizes, estimating a respective cycle time for the items in the flow path; (c) based at least in part on the respective cycle times, determining an aggregate cycle time for the flow path, wherein the aggregate cycle time comprises at least one search direction; (d) based in part on at least the aggregate cycle time, determining whether to modify a lot size for a particular item to optimize the aggregate cycle time; and (e) if a determination is made to modify a lot size for a particular item, repeating elements (a)-(d) as needed by applying an iterative algorithm based in part on Powell's method.
|
5463548
|
08053345
| 1
|
1. A method for differential diagnosis of a plurality of predetermined interstitial lung diseases, comprising: selecting a plurality of clinical parameters defining characteristics of a subject; selecting a plurality of radiographic descriptors comprised of predetermined features obtained from a radiographic chest image defining interstitial lung diseases characteristics; converting said plurality of clinical parameters and said plurality of radiographic descriptors into numerical expressions; transforming each of said numerical expressions into a number in a predetermined range; inputting said transformed numerical expressions into a plurality of successive neural networks; and diagnosing at least one of said plurality of interstitial lung diseases using said neural networks in accordance with said input expressions including: distinguishing between normal and abnormal patterns in said radiographic chest image using a first of said plurality of successive neural networks; distinguishing between said plurality of predetermined interstitial lung diseases and other diseases using a second of said plurality of successive neural networks; and distinguishing between said plurality of predetermined interstitial lung diseases using a third of said plurality of successive neural networks.
|
10038606
|
15075598
| 1
|
1. A broadband device comprising: at least one transceiver configured to communicate with a network termination via a communication environment; and a channel learning entity configured to receive a priori network data that includes a network topology, wherein the a priori network data was generated by another broadband device at a time prior to a replacement of the another broadband device by the broadband device, wherein the a priori network data is received, via the transceiver, to generate at least one measurement of the communication environment based on the a priori network data, and to generate first report data for transmission via the at least one transceiver based on the at least one measurement of the communication environment.
|
8574831
|
11933747
| 1
|
1. A method of evaluating the effectiveness of a protease inhibitor as an antiviral therapy of an HIV-infected patient, comprising: (a) collecting a sample from an HIV-infected patient; (b) amplifying viral genomic sequences using primers targeting the HIV protease gene and determining whether the sample comprises a nucleic acid encoding a HIV protease having the mutation I84C combined with at least one additional mutation selected from L10I, K20R, K20T, L24I, L33F, L33I, M36I, M46L, A71T, A71V, V77I, V82I, or L90M, wherein the codon position number is compared to the sequence of reference wild-type HIV IIIB/LAI; and (c) using the presence of said at least one mutations of step b) to evaluate the effectiveness of said antiviral therapy.
|
20050111755
|
10719690
| 0
|
1. A method, comprising: filtering a scanned image to obtain a transformed image, wherein the transformed image comprises a series of substantially parallel lines of alternating binary pixel values; and determining an orientation angle of the scanned image using properties of the transformed image.
|
20150180760
|
14579152
| 0
|
1. A network test system comprising: a Serial/Deserializer (SERDES) receiver receiving network activity therethrough; a SERDES transmitter downstream from the SERDES receiver receiving network activity therethrough; a circuit switch operatively coupled to the SERDES receiver and operatively coupled to the SERDES transmitter adapted to do one of the following, tap off a data stream of the network activity and inject test traffic into a network port; and a port adapted to do one of the following, receive an observation device for passively observing network activity and inject a test signal from a device; wherein the system is adapted to increase real-time observation and test capability for network activity without disturbing the network or portions of the network not under test signal injection.
|
8396701
|
12328726
| 1
|
1. A computer system for simulating a reconfigurable Lab-on-a-chip (“LoC”) device, the system comprising: a memory that stores binary data and software; and a processor in communication with the memory that: creates a specification file using a specification system stored in the memory, the specification file used to create a numerical model for a planned LoC configuration comprised of a plurality of microfluidic components within the reconfigurable LoC device, wherein the specification file comprises a list of microfluidic components, an attribute for at least one of the microfluidic components, and an interconnection among the microfluidic components, and wherein an authoring/editing tool creates and edits the specification file; executes a control design tool stored in the memory for creating and editing an operating language script, the operating language script for controlling the operation of the modeled LoC device; numerically simulates the operation of the model in real-time using a numerical simulation system stored in the memory, wherein the numerical simulation is derived from the specification file and the operating language script; and displays results of the numerical simulation of the simulated model using a data visualization system stored in the memory; wherein the specification system, control design tool, numerical simulation system, and data visualization system are integrated into a common software development system for system development, software development, control programming, real-time numerical simulation, and visualization the modeled LoC device.
|
20120322460
|
13522726
| 0
|
1. A method for real-time location estimation of a mobile station in a wireless communication system on a geographic map of roads using non-Global Positioning Satellite (non-GPS) raw location data of the mobile station and depending on a mobility status of the mobile station, the method comprising the steps of: determining that the mobile station is in motion, whereupon: identifying a region on the map with a minimum area that covers all raw location data; dividing all the areas bordered by roads within the region into smaller blocks, wherein each block constitute a Hidden Markov Model (HMM) state; for each block, determining a number of blocks between that block and all other blocks, and using the number of blocks in a varied continuous probability distribution to determining a HMM state transition probability of each block to represent a likelihood of the mobile station moving from one block to another; using a univariate continuous distribution as a function of a distance between each block and a raw location data; and finding a most likely state/block sequence of the motion of the mobile station using the HMM state transition probability and the univariate continuous distribution as the location of the mobile station.
|
20130113914
|
13288606
| 0
|
1. A method of improving automated defect detection, the method comprising: providing an image capture device for capturing and transmitting data of an object; performing automated analysis on the data; reviewing results of the automated analysis by a human inspector and providing feedback; and refining the automated analysis on the data based upon the feedback of the human inspector.
|
20070288899
|
11451851
| 0
|
1. A method for analyzing software, the method comprising: dynamically analyzing a software entity; retrieving at least one static metric indicative of a result of a previous static analysis of one of the software entity and a version of the software entity; integrating the retrieved at least one static metric into the dynamic analysis of the software entity; and storing at least one augmented metric resulting from integrating the retrieved at least one static metric into the dynamic analysis of the software entity.
|
9239985
|
13922116
| 1
|
1. A method of operating a node of network, the method comprising: scaling individual inputs of a plurality of inputs received by the node via a plurality of connections, the scaling using at least a transformation to produce a plurality of scaled inputs; and updating a state of the node based on at least combining the plurality of scaled inputs, the updating configured to cause the node to generate a response based on at least the updated state of the node breaching a threshold; wherein: the individual inputs of the plurality of inputs comprise a first value, and the plurality of scaled inputs comprise a second value that is larger than the first value; and the transformation comprises a concave function of the plurality of inputs, the concave function configured to increase the first value to produce a third value, and to decrease the second value to produce a fourth value.
|
9092211
|
13714187
| 1
|
1. A method performed using one or more processors of a processor-based system, the method comprising: determining, by at least one of the one or more processors, that a developer performs an operation with regard to development of designated code; filtering, by at least one of the one or more processors, a plurality of social updates that are associated with a plurality of users in a social networking environment in a social data graph to determine a subset of the plurality of social updates that relates to development of software applications; determining, by at least one of the one or more processors, information that is contextually related to the designated code based on the subset of the plurality of social updates in response to a determination that the developer performs the operation with regard to the development of the designated code, the information being associated with the plurality of users; and recommending, by at least one of the one or more processors, at least a portion of the information for use with regard to the designated code based on at least the portion of the information being associated with at least one user of the plurality of users who is included in a social network of the developer in the social data graph.
|
9053448
|
14018296
| 1
|
1. A computer implemented method for modeling and evaluating impact on service components, comprising: annotating a Unified Modeling Language (UML) sequence diagram using attributes in a distinct layer associated with the UML sequence diagram, wherein the UML sequence diagram describes a plurality of service components and flow of transactions between the service components, wherein annotating is separate from creating the UML sequence diagram; deriving a plurality of input parameters to a Markov model from the annotated UML sequence diagram for determining an impact on one or more of the plurality of service components, wherein the step of deriving includes deriving a plurality of states and state transition probabilities representing the flow of transactions between the service components; reducing the plurality of states; reverse engineering the Markov model; and generating a new UML sequence diagram.
|
9953241
|
14971610
| 1
|
1. A method for processing satellite images to determine a crop yield estimate for an area as small as an individual field in a region from images captured by a satellite comprising: receiving a plurality of images captured by a satellite in a processing system, wherein each of the plurality of images includes pixels that correspond to an area and is captured on a particular date; obtaining weather information for the area on the date that each of the plurality of images was captured using the processing system; determining a plurality of observable quantities for the area from the pixels in the plurality of images that correspond to the area using the processing system; determining a crop yield estimate for the area by applying a statistical model of the region including the area to the weather information obtained for the area on at least two different dates and the plurality of observable quantities for the area for the at least two different dates determined from the plurality of images using the processing system, wherein the statistical model has a plurality of variables including at least one variable from the plurality of observable quantities and at least one variable from the weather information and wherein the weather information for the area is of a same temporal scale as the weather information used to generate the statistical model; and providing the crop yield estimate to an application for use in showing a predicted crop yield for the area.
|
9684703
|
11115475
| 1
|
1. A method of constructing a data warehouse that combines data from multiple financial accounting transactional ledgers into a single fact table; including the following steps of: (a) connecting to an Enterprise Resource Planning (ERP) data store that stores the multiple financial accounting transactional ledgers, wherein the multiple financial accounting transactional ledgers are a classification and summarization of financial transactions, and the multiple financial accounting transactional ledgers include General Ledger, legally required for audits, and one or more of the following ledgers: Sales (Accounts Receivable), Purchase (Accounts Payable), Invoice (Order Processing), Inventory, and Fixed Assets; (b) using Structured Query Language (SQL) scripts to extract and combine data from the multiple financial accounting transactional ledgers existing in the ERP data store, including the general ledger, to automatically create and populate a single fact table in the data warehouse which integrates transactional data from the multiple financial accounting transactional ledgers; (c) generating, from the data warehouse, an associated, single physical Online Analytical Processing (OLAP) cube such that the single physical OLAP cube enables cross-functional analysis of data from the multiple financial accounting transactional ledgers; (d) executing stored procedures against the data warehouse to determine various metadata structures required to create or update the single physical OLAP cube to facilitate analysis and reporting of the data, wherein the stored procedures take as parameters a list of new fields to be added to the data warehouse, and the stored procedures loop through the list of new fields and add each field in the list into appropriate tables in a star schema in the data warehouse.
|
9967011
|
15592085
| 1
|
1. A system for estimating an admittance matrix of an antenna for radiation patterning comprising: an antenna with a plurality of subwavelength antenna elements; a plurality of tunable impedance elements in communication with the plurality of sub-wavelength antenna elements; a plurality of external antennas in communication with the antenna with a plurality of subwavelength antenna elements; a controller in communication with the plurality of tunable impedance; and a non-transitory computer-readable medium with instructions stored thereon that, when executed by a processor, cause the controller to perform operations for estimating an admittance matrix, the operations comprising: generating a sequence of port impedance vectors, (z (m) , m), wherein each port impedance vector, z (m) , of the sequence has a length, N, and corresponds to a set of impedance values for a plurality of tunable impedance elements in communication with a plurality of sub-wavelength antenna elements, and where the number, N m , of port impedance vectors of the sequence is at least as large as a number of unknown admittance parameters, N u , of an unknown admittance matrix; obtaining S-parameters, S (m) , of a scattering matrix, (S-Matrix), for each port impedance vector, z (m) , of the sequence by: applying the set of impedance values to the plurality of tunable impedance elements, via the controller, transmitting a signal to the plurality of external antennas; receiving at least one S-parameter for the applied set of impedance values for the plurality of tunable impedance elements from at least one of the plurality of external antennas; generating a simulated S-Matrix by associating each of the port impedance vector, z (m) , with the unknown admittance matrix; determining a plurality of optimization variables by comparing each of the S-parameters, S (m) , to the simulated S-Matrix for each port impedance vector, z (m) ; and generating an estimated admittance matrix by associating each of the optimization variables with the unknown admittance parameters.
|
10140342
|
15028439
| 1
|
1. A similarity calculation system for increasing the efficiency of a computer when performing searching, comprising: at least one processor; and at least one memory device that stores a plurality of instructions, which when executed by the at least one processor, causes the at least one processor to operate to: acquire a query vector; acquire a plurality of target vectors; calculate a similarity between each of the plurality of target vectors belonging to any one of the plurality of clusters and the query vector, calculate, for each of the plurality of target vectors, a calculation amount to be estimated when calculating the similarity between the each of the plurality of target vectors and the query vector, cluster the plurality of target vectors based on the calculation amount to be estimated for each of the plurality of target vectors, wherein, in the calculation, the processor calculates a number of non-zero elements of each of the plurality of target vectors as the estimated calculation amount, wherein, in the clustering, the processor clusters the plurality of target vectors so that a difference in a total sum of the calculated calculation amounts for all of the plurality of target vectors belonging to each of the plurality of clusters among the plurality of clusters decreases, wherein, in the clustering, the processor clusters the plurality of target vectors by generating a graph comprising: a plurality of first nodes that correspond to each of the plurality of target vectors and that has the calculation amount estimated for a corresponding one of the plurality of target vectors as a weight, a plurality of second nodes corresponding to an element type of the plurality of target vectors, and a plurality of edges connecting each of the plurality of first nodes to any one of the plurality of second nodes, and by dividing the generated graph based on the weight of each of the plurality of first nodes.
|
4323349
|
05825661
| 1
|
1. A method for improving motor-perceptual learning of an individual comprising the steps of: (1) providing lesson material to be reproduced; (2) rendering said lesson material visible and thereby traceable for an initial predetermined period of time; (3) commencing said reproduction of said lesson material by tracing a portion thereof; (4) rendering said lesson material non-visible at the end of said predetermined period of time and before said reproduction can be completed by tracing; (5) reproducing from memory all or at least a further portion of the remaining subject matter not reproduced by tracing; and (6) if said reproduction is not completed, repeating said steps 2 to 5 of rendering said lesson material visible, tracing, rendering said lesson material non-visible and reproducing from memory until said lesson material has been reproduced.
|
5392383
|
08166793
| 1
|
1. A fuzzy syllogistic inference system for processing a chain of implications that includes as the first link in the chain a minor premise that serves as an antecedent to infer a consequent of its major premise, which consequent serves as the antecedent to infer a consequent of the major premise in the next link of the chain, this process continuing through the last link in the chain comprising: circuit means for each link in the chain for receiving as one input a signal corresponding to the confidence measure of the antecedent of the link and as another input a signal corresponding to the confidence measure of the major premise of the link and for generating a first output as the consequent of the link a signal corresponding to the confidence measure of the major premise of the link and a second output as the fidelity measure of the consequent of the link a signal which is the bounded difference between the confidence measure of the major premise and the complement of the confidence measure of the antecedent of the link, means for coupling between successive said circuit means for each link the signal that is the first output as the consequent of the link to the one input corresponding to the confidence measure of the major premise of the link as the antecedent of the succeeding link in the chain, and means for deriving the consequent of the last link in the chain as the consequent of the chain and deriving the lowest fidelity measure of any link in the chain as the fidelity measure of the consequent of the chain.
|
20090055752
|
12258635
| 0
|
1. A method in a wearable computer for providing information about a current state of a user of the wearable computer, the current state modeled with multiple state attributes, the wearable computer having a plurality of input sensors and executing a plurality of state server modules to supply values for the state attributes, executing a plurality of state client modules to receive and process values for the state attributes, and executing an intermediary module to facilitate exchange of state attribute values, the method comprising: under control of each of the executing state server modules, repeatedly monitoring the modeled current state of the user by, receiving information from at least one of the input sensors; and generating a current value for at least one state attribute of the user from the received information; under control of each of the executing state client modules, sending to the intermediary module an indication of a state attribute of the user of interest; and under control of the intermediary module, for each executing state client module, receiving from the state client module the indication of the state attribute; receiving from at least one of the state server modules a generated current value for the indicated state attribute; and sending an appropriate value for the indicated state attribute to the state client module by, when a single generated current value for the indicated state attribute is received, sending the single value to the state client module; when multiple generated current values for the indicated state attribute are received from a single state server module, sending a most recently generated of the multiple received values to the state client module; and when multiple generated current values for the indicated state attribute are received from multiple state server modules, sending to the state client module one of the multiple received values selected based on accuracy and recency of the selected value.
|
9584353
|
14577483
| 1
|
1. A method, comprising: calculating, by a processor, a first peak to average power value of a signal comprising a linear combination of a plurality of vectors; generating, by the processor, a phase vector comprising a sequence of random phase components, each random phase component corresponding to one of the plurality of vectors; calculating, by the processor, a second peak to average power value of a signal comprising a linear combination of the plurality of vectors each multiplied by its corresponding phase component of the phase vector; and if the second peak to average power value is less than the first peak to average power value, storing, by the processor, the phase vector in a memory, and setting the first peak to average power value equal to the second peak to average power value.
|
20160188726
|
14587727
| 0
|
1. A method for scalable user intent mining, comprising: detecting named entities from a plurality of query logs in a public query log dataset; based on the detected named entities, generating corresponding features of the plurality of query logs; applying a multimodal restricted boltzmann machine (RBM) on the corresponding features of the plurality of query logs to train a public multimodal RBM; generating a plurality of public query representations; receiving a search query from a user; determining whether there are a plurality of history queries of the user; when there is no history query of the user, predicting user intent using the public multimodal RBM; and when there are the plurality of history queries of the user, applying the public multimodal RBM on the plurality of history queries of the user to train a personalized multimodal RBM, and predicting the user intent using the personalized multimodal RBM.
|
20080033939
|
11881950
| 0
|
1. A method for ranking one or more products related to a product category in online shopping, the method comprising the steps of: a. receiving a search query for the one or more products; b. extracting one or more attributes related to the product category for each of the one or more products; c. extracting one or more features related to the product category for each of the one or more attributes; d. computing the score of the one or more attributes based on the value of the one or more features; e. assigning weights to each of the one or more attributes based on the one or more features and the search query; and f. generating a product rank for each of the one or more products based on the assigned weights and the scores using a predefined relevancy-ranking algorithm.
|
20110172732
|
13072430
| 0
|
1. An implantable medical system comprising: an implantable medical device (IMD) operative to provide a first electrical signal; an electrode coupleable to the IMD, the electrode operative to deliver the first electrical signal from the IMD to a neural structure; and a sensor coupleable to the IMD, the sensor operative to sense a physiological parameter, wherein the physiological parameter includes at least one of a neurotransmitter parameter, a neurotransmitter breakdown product parameter, a neuropeptide parameter, a norepinephrine parameter, a glucocorticoid (GC) parameter, a neuromodulator parameter, a neuromodulator breakdown product parameter, an amino acid parameter, and a hormone parameter; wherein the IMD comprises a controller operative to change a parameter of the first electrical signal based upon at least one sensed physiological parameter to generate a second electrical signal and to apply the second electrical signal to the neural structure, wherein the parameter includes at least one of a pulse width, a frequency, a polarity, and an amplitude.
|
7499591
|
11090788
| 1
|
1. A method of classifying a document comprising: using a processor (or computer) to perform the steps of: classifying said document using output from one or more of said classifier engines based on a comparison of one or more metrics for each classifier engine; using a set of training documents to determine a precision value for each classifier engine; identifying a highest precision value and a second highest precision value; determining if said highest precision value is greater than said second highest precision value by a predetermined amount; if so, using output from the classifier engine having said highest precision value to classify said document; and if not, generating for each classifier engine, a list of probabilities of said document being classified by each classifier engine into each one of a group of possible classes, summing said probabilities for each class, and classifying said document into the class with the largest sum of probabilities.
|
9635101
|
14981730
| 1
|
1. A method comprising: determining a first plurality of proposed solutions for a clustered storage system, wherein each of the first plurality of proposed solutions comprises a set of configuration settings of the clustered storage system for the proposed solution and a set of one or more specific actions to execute on the clustered storage system to implement the proposed solution; for each of the first plurality of proposed solutions, determining a first service level objective evaluation value for a first service level objective of a workload of the clustered storage system, wherein determining the first service level objective evaluation value uses a first predicted value for a first service level objective metric of the first service level objective and a first target value of the first service level objective metric; determining a proposed solution evaluation value for the proposed solution based, at least in part, on the first service level objective evaluation value and a first predicted value for a first cost metric corresponding to the proposed solution; selecting a first proposed solution from the first plurality of proposed solutions based, at least in part, on the proposed solution evaluation values computed for the first plurality of proposed solutions; and applying the selected first proposed solution to the clustered storage system.
|
20110302543
|
13213714
| 0
|
1. A pattern designing method, comprising the steps of: carrying out transfer simulation calculation and step simulation calculation by using physical layout data produced from circuit design data, and comparing a result of the transfer simulation calculation and the step simulation calculation with a preset standard; carrying out calculation for electrical characteristics by using parameters obtained from the physical layout when as a result of the comparison, the preset standard is fulfilled; and carrying out calculation for a resistance value and a capacitance value in a physical layout in a cross-sectional direction of coordinates of a portion in which the preset standard is not fulfilled when as a result of the comparison, the preset standard is not fulfilled, carrying out calculation for the electrical characteristics by using parameters obtained from the physical layout when a result of the calculation falls within a preset tolerance, and carrying out calculation for the electrical characteristics when the result of the calculation does not fall within the preset tolerance by reflecting the result of the transfer simulation calculation and the step simulation calculation in the parameters, thereby extracting the parameters.
|
7756338
|
11674750
| 1
|
1. A computer implemented method for detecting scene boundaries in videos, comprising the steps of: extracting audio features from an audio signal of the videos, wherein the audio features are Mel-frequency cepstral coefficients, and the audio signals are classified into semantic classes, and wherein each feature vector includes variable x 1 , x 2 , x 3 indicating a number of the audio classes labels within a time window of duration [t−W L , t], where W L is about fourteen seconds, and variables x 4 , x 5 , x 6 indicating a number of the audio classes in a window of duration [ t - W L 2 , t + W L 2 ] , and variables x 7 , x 8 , x 9 indicate a number of audio classes within a window [t, t+W L ], and variables x 10 , x 11 are a Bhattacharyya shape and a Mahalanobis distance between the MFCC coefficients for the window [t−W L , t] and window [t, t+W L ], respectively, and variable x 12 is twice an average number of shot boundaries present in the video within a window [t−W L , t+W L ]; extracting visual features from frames of the videos; combining the audio and visual features into the feature vectors, extracting the feature vectors from videos of different genres; classifying the feature vectors as scene boundaries using a support vector machine, and in which the support vector machine is trained to be independent of the different genre of the videos; and segmenting the videos according to the scene boundaries, wherein the steps are performed in a computer.
|
20070118494
|
11484874
| 0
|
1. A method for processing an array of data collected over successive time slices, with a plurality of data points being provided during each time slice comprising: defining a number of dimensions for each data point; defining a current estimation set in at least one dimension for a dependent data location for which a value will be imputed, said estimation set comprising the dependent data location and a preselected number of nearest neighbor values surrounding the dependent data point in a current time slice; accessing estimation sets from each of a preselected number of time slices corresponding to said current estimation set; associating one estimation set with each dimension; and imputing a value to the dependent data point in each of the at least one dimensions in accordance with an estimation function.
|
20150139536
|
14081684
| 0
|
1. A system comprising: one or more processors; and a memory comprising instructions stored thereon that, responsive to execution by the one or more processors implement an image classification network, the image classification network comprising: a first column of grayscale filters configured to receive a grayscale channel of an image and extract grayscale features from the grayscale channel of the image; a second column of color filters configured to receive a color channel of the image and extract color features from the color channel of the image; an image classifier configured to identify an object in the image based on the extracted grayscale features and the extracted color features, and classify the image based on the identified object.
|
8421794
|
11690358
| 1
|
1. A method comprising: receiving a stream of data from a processing pipeline with an adaptive multi-shader that includes high-precision arithmetic logic units (ALUs) and low-precision ALUs; wherein the high-precision ALUs are different than the low-precision ALUs; determining whether the data is vertex image data or pixel image data; performing vertex shading using only the high-precision ALUs when the data is determined to be vertex image data, wherein performing the vertex shading comprises generating vertex coordinate data; and processing the data using the high-precision ALUs and the low-precision ALUs when the data is determined to be pixel image data.
|
7486815
|
10783709
| 1
|
1. A method comprising: using a processor to perform the steps of: receiving at least two frames of image data; learning a model for the appearance of an object from the at least two frames of image data; and tracking a changing position of the object in three dimensions from the at least two frames of image data, wherein tracking a changing position comprises representing possible positions as particles, weighting each particle in a set of particles based on the probability that the particle represents the position of the object, and using the weighting of the particles to resample the particles in the set of particles as part of selecting a set of particles for a next frame.
|
10067983
|
14958158
| 1
|
1. A computer-implemented method, comprising: analyzing a plurality of communication logs associated with a query related to an information technology issue to determine one or more discourse relationships between the plurality of communication logs, wherein each of the plurality of communication logs comprises (i) a description of one or more actions taken in connection with the information technology issue, (ii) a status related to the one or more actions taken, and (iii) identification of a group carrying out the one or more actions; generating a hierarchical structure representing the plurality of communication logs and the one or more determined discourse relationships, wherein said generating the hierarchical structure comprises generating a discourse graph representing the plurality of communication logs and the one or more determined discourse relationships, wherein individual log entities form vertices of the discourse graph and the one or more determined discourse relationships form one or more directed edges in the discourse graph; deriving a log reliability graph from the discourse graph by assigning each of the plurality of communication logs in the discourse graph a weight, wherein the weight indicates an amount contextual similarity of the communication log's description with the query; associating the query with one or more classified queries by (i) determining one or more patterns in the log reliability graph and (ii) comparing the one or more determined patterns to patterns associated with multiple historical log reliability graphs associated with classified queries; and determining one or more information technology issue categories applicable to the query based on said associating; wherein the steps are carried out by at least one computing device.
|
20120278488
|
13545729
| 0
|
1. A method for analyzing one or more policies applicable to a plurality of computing sites that process respective workloads in a distributed computing system, said method comprising: representing said distributed computing system as a state transition model; superimposing a queuing network model on said state transition model; and identifying the effects of said one or more policies on said distributed computing system performance in accordance with a solution to said queuing network model.
|
20090210176
|
12031374
| 0
|
1. A method of selecting a plurality of golden devices from among a plurality of test devices fabricated on a plurality of chips carried on a golden wafer in order to extract parameters for a device model, the method comprising: measuring numerical values of at least one single point characteristic for first and second test devices of a different geometry on each of the chips on the golden wafer; performing a statistical analysis of the numerical values of the at least one single point characteristic measured for the first and second test devices; applying a selection criterion to the statistical analysis of the numerical values for the first and second test devices to identify respective first and second golden devices with numerical values nearest to the selection criterion; performing an electrical characterization of the first golden device and of the second golden device; and extracting one or more parameters from the electrical characterization of the first and second golden devices for use in the device model.
|
10049321
|
14674428
| 1
|
1. A thermodynamic RAM (Random Access Memory) circuit, comprising: a collection of kT (Thermodynamic)-Core circuits, wherein each kT-Core circuit among said collection of core kT-Core circuits comprises an AHaH (Anti-Hebbian and Hebbian) circuit, wherein at least one kT-Core circuit among said collection of kT-Core circuits couples readout electrodes together to form a larger combined kT-Core among said collection of kT-Core circuits.
|
20100332202
|
12828251
| 0
|
1 ) A method for parallel simulation of general time-domain differential/nonlinear circuits and mixed-domain formulations that are represented by nonlinear/linear differential algebraic equations (NDAEs) by partitioning them into smaller subcircuits via a novel combination of the companion form representation of the given circuit and an efficient form of node splitting, with the coupling between subcircuits being represented by binary vectors, during Newton Raphson iterations, at any time point, including DC.
|
7689289
|
11277207
| 1
|
1. An apparatus including at least two electrodes for inducing action potentials at an adjustable locus of electrically excitable tissue of an organism, comprising in combination: a first electrode selected from the at least two electrodes, the first electrode capable of being driven with a first pulse, the first pulse having a pulse parameter to generate a first action potential area and a first subthreshold potential area; a second electrode selected from the at least two electrodes, the second electrode capable of being driven with a second pulse, the second pulse having a pulse parameter to generate a second action potential area and a second subthreshold potential area; and a generator configured to provide the first and second pulses to the first and second electrodes to create a steerable electric field, the generator providing substantially non-simultaneous pulses to the first and second electrodes and wherein the superposition of the first subthreshold potential area with the second subthreshold potential area results in a deep tissue suprathreshold potential area of the adjustable locus wherein a third action potential is induced.
|
20120327383
|
13530065
| 0
|
1. A method of controlling stability in a lithography process, comprising: (a) defining baseline performances of a lithography apparatus for use in the lithography process in a lithography model, wherein a first sub-model of the lithography model defining a first baseline performance is obtained under a first illumination condition, and a second sub-model of the lithography model defining a second baseline performance is obtained under a second illumination condition, the lithography model comprising one or more of illumination source pupil characteristics and lithography process response parameters; (b) monitoring illumination stability of the lithography apparatus under the first illumination condition by measuring a first temporal drift data of the illumination source pupil characteristics and using the first measured temporal drift data to maintain the illumination source pupil characteristics within or substantially close to the first baseline performance; and (c) monitoring lithography process response stability under the second illumination condition by measuring a second temporal drift data of the lithography process response parameter and using the second measured temporal drift data to maintain the lithography process response within or substantially close to the second baseline performance.
|
20040078405
|
10468998
| 0
|
1. A method for efficiently implementing a multidimensional Fast Fourier Transform (FFT) of a multidimensional array comprising a plurality of elements initially distributed in a multi-node computer system comprising a plurality of nodes in communication over a network, the method comprising: (a) distributing the plurality of elements of the array in a first dimension across the plurality of nodes of the computer system over the network to facilitate a first one-dimensional FFT; (b) performing the first one-dimensional FFT on the elements of the array distributed at each node in the first dimension; (c) re-distributing the one-dimensional FFT-transformed elements at each node in a second dimension via “all-to-all” distribution in random order across other nodes of the computer system over the network; and (d) performing a second one-dimensional FFT on elements of the array re-distributed at each node in the second dimension, wherein the random order facilitates efficient utilization of the network thereby efficiently implementing the multidimensional FFT.
|
20080167572
|
11928039
| 0
|
1. An apparatus for monitoring human status parameters, comprising: at least one ambient temperature sensor for detecting and generating data indicative of another temperature condition; and a processor in electronic communication with said at least one sensor, said processor: (i) receiving at a least a portion of said data indicative of said temperature and (ii) deriving a parameter comprising at least one of: body states of, activities of and events relating to said wearer.
|
20160042734
|
14782799
| 0
|
1. A method for extracting acoustic features, comprising: estimating spectral component amplitudes of an acoustic signal; and computing coefficients by utilizing an amplitude comparator function, wherein the coefficients are the quantitative measures of the relationship between the amplitudes of the spectral components that are being compared.
|
9583023
|
13837632
| 1
|
1. A welding torch comprising: a mechanically actuated trigger switch having a trigger open position and a trigger closed position; and an electrically actuated training switch coupled with the mechanically actuated trigger switch via a conductor, wherein the electrically actuated training switch is configured to close when the electrically actuated training switch receives a trigger enable signal, and wherein welding power flows through the welding torch only while both the electrically actuated training switch is closed and the mechanically actuated trigger switch is in the trigger closed position.
|
8738968
|
13403650
| 1
|
1. A computer-implemented method for evaluating service availability of an Availability Management Framework (AMF) configuration, the AMF configuration describing how configuration entities of a highly available system are grouped and comprising information on service provision and service protection policies against resource failure, the AMF configuration comprising a hierarchy of the configuration entities, wherein components are at a lowest one of a plurality of levels in the hierarchy and nodes provide an execution environment for the components, the method comprising the steps of: receiving the AMF configuration as input, the AMF configuration defining a set of failure types for each of the components and each of the nodes, and specifying a failure rate and a recommended recovery for each of the failure types; analyzing the AMF configuration, based on the recommended recovery for a given one of the components and a set of recovery altering attribute values defined in the AMF configuration, to obtain an actual recovery that the highly available system is to perform when the given component fails, wherein the recovery altering attribute values are defined for the configuration entities at the plurality of levels of the hierarchy; mapping the AMF configuration to a stochastic model that captures dependencies among the components and among the configuration entities at the plurality of levels of the hierarchy; and utilizing the model to calculate the service availability of the AMF configuration based on the failure rate, the actual recovery and the dependencies to thereby estimate availability of services to be provided by the highly available system.
|
7620123
|
12166702
| 1
|
1. A receiver configured to demodulate M-ary quadrature amplitude modulation (M-QAM) signals by estimating the amplitude of a received M-QAM signal based upon known phase information of a plurality of transmitted symbols (d k ), the receiver comprising: a processor configured to: recover a respective set of received symbols (r k ) corresponding to the plurality of transmitted symbols (d k ); generate a set of products based on the received symbols (r k ); sum the set of products; determine the real part of the sum of products; sum the absolute values of the transmitted symbols |(d k )| to generate a magnitude value; and generate the estimated amplitude of the received M-QAM signal by dividing the real part of the sum of products by the magnitude value.
|
20130085406
|
13250676
| 0
|
1. A method comprising: receiving cardiac electrogram (EGM) signal data from an implantable medical device (IMD), the EGM signal data including a plurality of detected cardiac episodes, each of the plurality of cardiac episodes classified by the IMD as at least one of a ventricular tachycardia/ventricular fibrillation (VT/VF) episode, a supraventricular tachycardia (SVT) episode, a ventricular tachycardia non-sustained (VTNS) episode, an atrial tachycardia/atrial fibrillation (AT/AF) episode, a monitored VT episode, or a ventricular oversensing (VOS) episode; conducting a retrospective analysis of each of the plurality of cardiac episodes, the retrospective analysis providing a retrospective analysis classification; and selecting, using a processor, a subset of the plurality of cardiac episodes for display based at least in part on at least one of the IMD classification and the retrospective analysis classification, wherein for each episode category including at least one episode, the subset includes greater than or equal to one episode and less than or equal to a predetermined number of episodes.
|
20180012082
|
15641982
| 0
|
1. A method for image analysis, comprising: recording an image at a vehicle system mounted to a vehicle; automatically detecting an object within the image with a first module; automatically defining a first bounding box about the detected object; modifying the image with the first bounding box for the detected object to generate a first modified image; at a verification module associated with the first module, labeling the first bounding box within the modified image as one of a false positive, a false negative, a true positive, and a true negative detected object; training the first module with the label for the first bounding box; automatically classifying the detected object, wherein classifying the detected object comprises automatically assigning an object class to the detected object, wherein the object class is one of a plurality of object classes, to generate a classified object; modifying the image with a second bounding box for the classified object to generate a second modified image; at a second verification module associated with the object class, labeling the second bounding box within the second modified image as one of a false positive, a false negative, a true positive, and a true negative for the object class, wherein the second verification module is one of a plurality of verification modules, each associated with a different object class of the plurality of object classes; training the second module with the label for the second bounding box within the second modified image; and automatically detecting and classifying objects within a second image, recorded at the vehicle system, with the trained first and second modules, respectively.
|
20090035284
|
12182050
| 0
|
1. A method of deriving a homogeneous population of neural stem cells (NSCs) comprising culturing embryonic stem cells (ESCs) as spheres in media containing epidermal growth factor (EGF), basic fibroblast growth factor (bFGF), and leukemia inhibitory factor (LIF).
|
8533222
|
13014223
| 1
|
1. A computer-implemented system comprising: one or more computers; one or more data storage devices in data communication with the one or more computers, storing: a training data repository that includes client training data comprising a first plurality of training data sets belonging to a client entity and received over a network; a plurality of training functions; and instructions that, when executed by the one or more computers, cause the one or more computers to perform operations comprising: generating a plurality of trained predictive models using the plurality of training functions and a first sample of the client training data; determining a respective accuracy of each of the plurality of trained predictive models using a different, second sample of the client training data; receiving, over the network one or more new training data sets belonging to the client entity, wherein each of the one or more new training data sets is new relative to the first plurality of training data sets; updating the client training data to include the one or more new training data sets; generating a plurality of new trained predictive models using the plurality of training functions and a different, third sample of the client training data; determining, a respective accuracy of each of the plurality of new trained predictive models using a different, fourth sample of the client training data; generating a respective effectiveness score for each of the plurality of trained predictive models and each of the plurality of new trained predictive models using the determined accuracy of its respective trained predictive model; receiving, over the network from a client computing system, a first prediction request and first input data; selecting a first trained predictive model to service the first prediction request from among the plurality of trained predictive models and the plurality of new trained predictive models based on the respective effectiveness scores; running the first trained predictive model on the first input data to generate a predictive output; and providing, to the client computing system, the predictive output in response to the first prediction request.
|
20040042469
|
10235187
| 0
|
1. A switch comprising: an ingress port receiving an incoming call; a first server storing routing information; a switching fabric coupled to the ingress port and coupled to the first server, the switching fabric generating a switched call by switching the incoming call in response to the routing information; an egress port coupled to the switching fabric, the egress port communicating an outgoing call in response to the switched call; and a second server coupled to the first server, the second server generating learned information in response to the routing information stored in the first server and in response to the switched call.
|
10082499
|
14712357
| 1
|
1. A method for preparation of labeled metabolic products, comprising the steps: (a) providing a biological sample in vitro; (b) contacting the biological sample with a labeling buffer comprising a labeled substrate, wherein the substrate comprises at least one carbon atom and represents an educt or intermediate of a metabolic process of the biological sample and wherein the label is a stable isotope; (c) washing the biological sample using a wash-buffer, wherein said wash-buffer comprises a carbon resource being a relevant nutrient resource of the biological sample such that the biological sample is precluded from carbon deficiency during said washing, wherein said carbon resource comprises the substrate according to step b), wherein said substrate in the wash-buffer may be labeled or unlabeled; (d) quenching the biological sample such that metabolic processes within the biological sample are slowed down or stopped; and (e) extracting the labeled metabolic product from the biological sample.
|
8521631
|
12474941
| 1
|
1. A computer-implemented method of evaluating a loan application, comprising: generating, using one or more data processors, a borrower contour map, wherein the borrow contour map identifies a borrower score for each of a plurality of different combinations of borrower attributes, and wherein the borrower attributes include a character attribute, a capacity attribute, and a capital attribute; generating, using the one or more data processors, a transaction contour map, wherein the transaction contour map identifies a transaction score for each of a plurality of different combinations of transaction attributes, and wherein the transaction attributes include the borrower attributes, a collateral attribute, and a conditions attribute; performing, using the one or more data processors, a simulation corresponding to future economic conditions, wherein the simulation predicts performance of loans, and wherein the loans are associated with different borrower score-transaction score combinations; generating, using the one or more data processors, a loan decision model using the predicted performances, wherein the loan decision model associates an action with each borrower score-transaction score combination; receiving, using the one or more data processors, a loan application that includes one or more ratings for the borrower attributes and the transaction attributes; assigning, using the one or more data processors, an application borrower score to the loan application using the borrower contour map and the borrower attribute ratings; assigning, using the one or more data processors, an application transaction score to the loan application using the transaction contour map and the transaction attribute ratings; and determining, using the one or more data processors, an action for the loan application using the loan decision model, the application borrower score, and the application transaction score.
|
20170043773
|
15215180
| 0
|
1. A lane recognition apparatus, comprising: a lane recognizer that recognizes lane lines of a road on which a vehicle travels, the lane lines including a first lane line and a second lane line; a lane evaluator that evaluates, as recognition reliability, reliability of the recognition of the lane lines recognized by the lane recognizer, based on a plurality of characteristic amounts that are obtained from the recognition of the lane lines; and a recognition state monitor that monitors, upon completion of the recognition of the first lane line following the evaluation on the recognition reliability, a state of the recognition of the second lane line to adjust a timing at which a result of the recognition of the lane lines is provided to a driver.
|
7801650
|
11521752
| 1
|
1. A method for inferring an altitude of a computing device, comprising: monitoring variable data associated with a plurality of variables measured within the computing device; inferring the altitude of the computing device using the measured plurality of variables in a multivariate correlation function; and controlling operation of the computing device based on the inferred altitude, wherein controlling the operation of the computing device comprises adjusting at least one of a plurality of adjustable variables associated with the computing device based on inferred altitude, wherein the plurality of adjustable variables comprise a fan speed, a voltage, a current, and a temperature.
|
8417485
|
12351250
| 1
|
1. A method for constructing a computer aided design model of an object, the method comprising: receiving user input, wherein the user input comprises a callback function and a required accuracy, wherein the callback function contains a procedurally defined geometry, and wherein the required accuracy specifies a degree of accuracy needed for the computer aided design model of the object; sampling, by a processor unit, the callback function at a number of points to form sampled points; constructing a candidate curve that approaches the sampled points; and determining whether the candidate curve meets the required accuracy, determining including sampling the callback function at a number of additional points in each region between the sampled points to form comparison points, wherein each region between the sampled points is a polynomial piece; computing a distance between each comparison point and the candidate curve; and determining whether the distance between any comparison point and the candidate curve is greater than the required accuracy for each region.
|
20090119394
|
11935598
| 0
|
1. A method of assigning a geographic location to a network block comprising: obtaining geo-location data from a plurality of network data sources; generating, for each data source, intermediate assignments associated with a network block; classifying and/or regressing each intermediate assignment to generate classifications and/or regressions based on training data; and determining a geographic location of the network block based upon at least one of the intermediate assignment classifications and/or regressions.
|
9324316
|
14004148
| 1
|
1. A prosody generator, comprising: a data dividing unit implemented at least by a hardware including a processor and which divides into subspaces the data space of a learning database as an assembly of learning data indicative of feature quantities of speech waveforms; a density information extracting unit implemented at least by a hardware including a processor and which extracts density information indicative of a density state in terms of information quantity of the learning data in each of the subspaces divided by the data dividing unit, a prosody information generating method selecting unit implemented at least by a hardware including a processor and which selects either a first method or a second method as a prosody information generating method based on the density information, the first method involving generating the prosody information using a statistical technique, the second method involving generating the prosody information using rules based on heuristics, wherein the prosody information generating method selecting unit selects the second method when the density information indicates the density state is sparse; and an output unit which outputs a generated synthetic speech based on the prosody information.
|
6109107
|
08852651
| 1
|
1. A method of screening individuals for audio perception problems, the method comprising the steps of: a) selecting a target sound stimulus and a mask sound stimulus, the starting level of the target sound stimulus being sufficiently large relative to the starting level of the mask sound stimulus so that individuals with normal audio perception can detect the target sound stimulus in the presence of the mask sound stimulus when the target sound stimulus is separated from the mask sound stimulus by at least a prescribed interstimulus interval (ISI); b) changing the target sound stimulus level relative to the mask sound stimulus level by a prescribed amount; c) producing the target sound stimulus and the mask sound stimulus with the changed target sound stimulus level while maintaining the prescribed ISI; d) determining whether the individual can detect the target sound stimulus; and e) if the individual cannot detect the target sound stimulus signal then repeating the above steps until the individual can detect the target sound stimulus.
|
7860548
|
12008764
| 1
|
1. A computer-assisted method comprising: displaying volumetric imaging data on a display representing an anatomic volume of tissue of a patient; displaying an indication of a first electrode location of an electrode that has been guided into the anatomic volume; using a computer model in calculating a volume of influence; and displaying the calculated volume of influence; wherein: the volume of influence includes a predicted volume of tissue affected by an electrical stimulation delivered by the first electrode; and calculating the volume of influence includes calculating a second difference of a potential distribution to represent the volume of influence.
|
8954356
|
14049436
| 1
|
1. A method for providing a user interface that evolves based on learned idiosyncrasies and collected data of a user, the method comprising: storing learned idiosyncrasies and collected data of the user in a knowledge base; executing instructions stored in memory to obtain information from the surrounding environment of the user during learning of idiosyncrasies or collection of data; executing instructions stored in memory to: evaluate the knowledge base and the information obtained from the environment surrounding the user during learning of idiosyncrasies or collection of data to aggregate information relevant to a scenario, generate parameters associated with thought-based statements for the scenario based on the aggregated information relevant to the scenario, and generate the thought-based statements based at least in part on the parameters, the thought-based statements serving to invoke or respond to subsequent actions of the user; and executing instructions stored in memory to present the user interface and to allow for interaction with the user based at least in part on the thought-based statements.
|
20080126523
|
11534616
| 0
|
1. A computer-implemented method to identify groups in large networks, the method comprising: receiving a plurality of edges associated with the large networks; splitting the plurality of edges into a collection of fractions; generating one or more clusters from each fraction in the collection of fractions based on a similarity metric; and identifying a set of groups across the one or more clusters.
|
20140288905
|
14348439
| 0
|
1. A method for correlating or predicting binary phase equilibrium data, comprising: calculating an index X of proximity ratio to critical points and infinite dilution pressure gradients Y 1 and Y 2 using binary phase equilibrium measurement data; correlating the obtained index X of proximity ratio to critical points with the infinite dilution pressure gradients Y 1 and Y 2 and calculating infinite dilution activity coefficients γ 1 ∞ and γ 2 ∞ or binary parameters A and B from the X-Y 1 correlation and the X-Y 2 correlation, respectively; and predicting new binary phase equilibrium data using the calculated values of the infinite dilution activity coefficients γ 1 ∞ and γ 2 ∞ or binary parameters A and B.
|
20060015341
|
11180600
| 0
|
1. A distributed pattern recognition training method, comprising: providing data communication between at least one central pattern analysis node and a plurality of peripheral data analysis sites; communicating, from said at least one central pattern analysis node to said plurality of peripheral data analysis sites, a plurality of kernel-based pattern elements; and performing a plurality of iterations of pattern template training at each of said plurality of peripheral data analysis sites.
|
20040117572
|
10605410
| 0
|
1. An invention comprising a method of managing finite data storage of a temporal data store comprising one or more data groups, each data group comprising a plurality of members, data of each of which is preserved in the finite data storage, each data group having associated therewith a time point and each member of each data group having associated therewith a preservation weight, the method comprising the step of, upon detecting that consumption of the finite data storage has reached a first level, then, in order of increasing preservation weight beginning with the one or more members having the lowest preservation weight, successively deleting each member in increasing chronological order beginning with the oldest member first, until the finite data storage consumption has reached a second level.
|
9993447
|
15263879
| 1
|
1. An agmatine salt formulation for oral administration as a nutritional supplement comprising: an agmatine salt; and arginine base, wherein the agmatine salt is not protonated as quickly as when it is administered on its own or in an agmatine sulfate form, and wherein the agmatine salt formulation has a pH of greater than 8.
|
9014420
|
12814507
| 1
|
1. In a computing environment, a method performed on at least one processor comprising: (a) processing a target dataset containing video data into a background model; (b) processing the background model into a current action model by processing a source dataset containing video data including action of interest data and at least some labeled video data comprising labels for actions of interests, using the action of interest data in the source dataset as a prior, and employing maximum a posterior estimation to adapt the background model to the target dataset; (c) searching the target dataset using the current action model to find one or more subvolumes containing similar action of interest data, including estimating locations of the actions of interest in the target dataset and differentiating between spatial-temporal interest points in the background model and spatial-temporal interest points for the action of interests; (d) updating the action model into an updated current action model based at least in part on the one or more subvolumes found in (c); and (e) refining the updated current action model by repeating steps (c) and (d) for a plurality of iterations.
|
10152478
|
14871540
| 1
|
1. A computer implemented method of disambiguating a string from an article comprising: at an electronic device including one or more hardware processing units, accessing a disambiguation database comprising a plurality of string-entity combinations and associated metrics for each of the plurality of string-entity combinations, the associated metrics including at least one metric associated with an arrival probability of linking at a web page for a particular entity of a particular string-entity combination after a specified number of links, wherein the arrival probability is a sum of a link probability for each hyperlink in a chain of hyperlinks between a starting page and the web page for the particular entity, wherein a length of the chain of hyperlinks is less than or equal to the specified number of links; analyzing an article to identify one or more strings in the article that are associated with at least one of the plurality of string-entity combinations, wherein each entity of the at least one of the plurality of string-entity combinations is a candidate entity for the identified one or more strings in the article; generating a clique graph for each candidate entity of the article, the clique graph including a plurality of cliques; and generating a probability that a particular candidate entity corresponds to a particular string associated with the particular candidate entity as a function of one or more score attributes generated from the clique graph and the arrival probability of linking at the web page for the particular entity after the specified number of links.
|
8073226
|
11824669
| 1
|
1. A method for detecting a nodule, or other shaped target, in image data, the method comprising steps of: segmenting scanning information from an image slice to isolate lung tissue from other structures, resulting in segmented image data; extracting anatomic structures, including any potential nodules, from the segmented image data, resulting in extracted image data; and detecting possible nodules, or other shaped targets, from the extracted image data, based on deformable prototypes of candidates generated by a level set method in combination with a marginal gray level distribution method, wherein detecting possible nodules, or other shaped targets, includes: generating a deformable prototype by applying the level set method to the extracted image data; assigning gray levels to the deformable prototype using the marginal gray level distribution method; and determining similarity between gray levels in the extracted image data and the deformable prototype.
|
9218390
|
13194887
| 1
|
1. A method comprising: deriving, via a query parser derivation computing device, a query parser for parsing an unstructured geographic web-search query into a field-based format, the deriving of the query parser comprising: receiving an input query, wherein the input query comprises a series of tokens; assigning a label to each of a plurality of the tokens; calculating the most probable label sequence for the input query; assigning one or more sentences from a plurality of sentences to each label based at least in part on the most probable label sequence for the input query, wherein: the one or more sentences are different from the labels; and the one or more sentences are assigned so that the respective sentence identifies the respective label as corresponding to one or more of a search term, a geographic expression, a geographic expression relation indication, and/or uninteresting information; creating a conditional random field model based at least in part on i) the tokens, ii) the labels, iii) characterizing a set of one or more feature functions, wherein: the set of one or more feature functions represent a state transition feature and/or one or more features of an output state for an input sequence; and a conditional probability is computed based in part on the set of one or more feature functions; training the one or more state transition features and the one or more output state features on a labeled set, wherein learning the state transition feature is limited on learning the one or more features of the output state; and utilizing, by the query parser, conditional random fields, learned by semi-supervised automated learning and based at least in part on the training, to produce structured information from the unstructured geographic web-search query, wherein the utilizing the conditional random fields to produce the structured information comprises: parsing the unstructured geographic web-search query to produce the structured information from the unstructured geographic web-search query; determining that the parsing the unstructured geographic web-search query results in a multiple interpretation condition, where the parsing identifies at least a first interpretation of the unstructured geographic web-search query corresponding to first parsing results and a second interpretation of the unstructured geographic web-search query corresponding to second parsing results; and based at least in part on user behavior data, disambiguate the first parsing results and the second parsing results to select the first parsing results corresponding to the first interpretation of the unstructured geographic web-search query.
|
7623944
|
11038692
| 1
|
1. A computer based method for automatically estimating a joint load at a joint of a physical segment, comprising the steps of: receiving, at the computer, kinematic data representing a three-dimensional system; determining, by the computer, a modified acceleration using at least said kinematic data; estimating, by the computer, the joint load using at least said modified acceleration; and determining, by the computer, simulated kinematic data for the segment using at least the joint load.
|
8858398
|
13614435
| 1
|
1. A method comprising: processing input specifying a plurality of athletic activities; processing input specifying a heart rate threshold for a particular one of the activities; generating, by a processor, an electronic training script including the heart rate threshold for the particular activity and defining a sequence in which to perform the plurality of activities; measuring a physiological characteristic of a user during the plurality of athletic activities; and prompting the user to perform a next activity in the sequence based on a measurement of the physiological characteristic indicating completion of a previous activity in the sequence.
|
20080164021
|
11651913
| 0
|
1. A method for performing fracturing on a well, comprising the actions of: (a) fracturing, in accordance with a fracturing model and a fracturing plan, while monitoring inputs used to estimate fracturing progress; (b) automatically modifying said fracturing model from time to time, as said monitoring action indicates that said fracturing model may be inaccurate; and (c) automatically modifying said fracturing plan, in dependence on said action (b).
|
7509681
|
11621027
| 1
|
1. A computer-implemented method for protecting a network, the method comprising: gathering information about the network; using the gathered information to determine vulnerabilities of one or more hosts on the network; examining network traffic to determine intrusions on the network; and correlating the determined vulnerabilities of the hosts with the detected intrusions to identify network traffic indicative of an exploitation of one or more of the determined vulnerabilities.
|
20120006560
|
13125934
| 0
|
1. A method for forming a geologic model of a subsurface region comprising: obtaining data related to the subsurface region; constructing a framework to represent the subsurface region; selecting a template from a plurality of templates, wherein the selected template provides at least one property that is characteristic of the subsurface region; inserting the selected template into the framework, to form the geologic model; and outputting the geologic model.
|
20120196378
|
13018156
| 0
|
1. A compound, represented by formula I; including a salt form and/or hydrate form thereof; wherein, Y is a 5, 6 or 7 membered heterocyclic ring that may be substituted or unsubstituted and that may optionally be cleavably linked to a support, wherein the heterocyclic ring comprises at least one ring nitrogen atom that is linked through a covalent bond to the group J; J is a group represented by formula —CJ′ 2 —, wherein each J′ is, independently of the other, hydrogen, deuterium, fluorine, chlorine, bromine, iodine, —R 3 , —OR 3 , —SR 3 , —R 3 ′OR 3 or —R 3 ′SR 3 ; K is a group represented by formula —(CK′ 2 ) n — or —((CK′ 2 ) m —X 2 —(CK′ 2 ) m ) p , wherein n is 0 or an integer from 2 to 10, each m is, independently of the other, an integer from 1 to 5, p is an integer from 1 to 4 and each K′ is, independently of the other, hydrogen, deuterium, fluorine, chlorine, bromine, iodine, —R 4 , —OR 4 , —SR 4 , —R 4 ′OR 4 or —R 4 ′SR 4 ; either 1) R 1 is hydrogen, deuterium or R 6 and R 2 is hydrogen, deuterium or R 7 ; or 2) R 1 and R 2 taken together is a group represented by formula —(CR′ 2 ) q — or —((CR′ 2 ) m —X 2 —(CR′ 2 ) m ) p — that forms a ring that bridges the two nitrogen atoms, wherein q is an integer from 1 to 10, each m is, independently of the other, an integer from 1 to 5, p is an integer from 1 to 4 and each R′ is, independently of the other, hydrogen, deuterium, fluorine, chlorine, bromine, iodine, —R 5 , —OR 5 , —SR 5 , —R 5 ′OR 5 or —R 5 ′SR 5 ; X 1 is ═O, ═S, ═NH or ═NR 7 ; each X 2 is, independently of the other, —O— or —S—; and Z is hydrogen or a covalently linked analyte; wherein, each R 3 , R 4 , R 5 , R 6 , and/or R 7 is, independently of the other, alkyl, alkenyl, alkynyl, aryl, heteroaryl or arylalkyl; each R 3 ′, R 4 ′, and/or R 5 ′ is, independently of the other, alkylene, alkenylene, alkynylene, arylene or alkylarylene; and the compound comprises at least one isotopically enriched site.
|
20060201009
|
11359991
| 0
|
1. An angle measurement and layout tool comprising: a support portion configured to seat against an edge of a construction workpiece; and a guide portion extending from said support portion, said guide portion having opposite faces with each face having measurement indicia thereon, said measurement indicia differently arranged on each of said opposite faces.
|
9792412
|
13973113
| 1
|
1. A computer-implemented method, comprising: obtaining, by a computer processor, electric field data corresponding to settings of a non-cylindrically symmetrical implanted leadwire that is adapted for stimulating anatomical tissue, the electric field data including for each of a plurality of neural elements a respective plurality of electric values for a same electric field parameter; determining in a first determining step, by the processor and for each of the neural elements, a respective activation status based on the respective plurality of electric values associated with the respective neural element; and the processor determining in a second determining step, and outputting an indication of, an estimated activated tissue region corresponding to a combination of points surrounding the leadwire corresponding to those of the neural elements for which an active status is determined; wherein the determining of the second determining step is performed by executing a first module that at least one of: does not base the determining of the second determining step on input of different sets of values of an electric field at different points in time; does not use more than one differential equation; or is generated based on observed functioning of a second module that uses differential equations, wherein the first module uses only linear equations.
|
7840175
|
11257584
| 1
|
1. A computer-implemented method performed by one or more processors for presenting a training course stored in memory to a learner, the method comprising the following steps performed by one or more processors: retrieving a default learning strategy associated with the learner to apply to a training course, the training course comprising a plurality of nodes defining a path for the learner; determining the default learning strategy is a valid strategy for the training course; applying the default learning strategy to the training course, wherein applying the default learning strategy includes presenting the plurality of nodes of the training course to the learner in an order based on the default learning strategy, the order different from the path defined by the plurality of nodes of the training course; receiving a request from the learner to replace the default learning strategy with a disparate learning strategy while the training course is in progress; applying the disparate learning strategy to the training course by modifying the order through the plurality of nodes for the learner such that the learner does not revisit previously visited nodes; and presenting the training course to the learner in order based on the disparate learning strategy, the order of the presented training course at least partially determined by unvisited nodes of the training course during the prior presentation.
|
20160203600
|
14912965
| 0
|
1. A method of determining a breast density measurement from a digital mammogram, the method comprising: receiving an input image corresponding to the digital mammogram; removing metadata information from the input image to generate an intermediate image; generating a region of interest (ROI) image based on the intermediate image; extracting values for predictor variables from the metadata information, the intermediate image and the ROI image; and calculating the breast density measurement based on the values of the predictor variables.
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.