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"abstract": "In remote communication via the Internet, the existence of participant by video streaming of real scene is important. In addition, we consider that non-verbal communication plays an important role in remote communication. In order to realize realistic communication between remote places, the display of video image in remote site with the large-scale screen is effective. However, the video image by wide-area display using a projector and large screen is low-resolution, and sufficient presence is not obtained. In this paper, we have constructed the multipoint tele-immersive communication environment with tiled display wall and have conducted experiment in order to study the possibility of realistic remote communication with video streaming. We have implemented display technology on tiled display wall high-resolution multivideo images which captured by 2 sets of IEEE1394 cameras. By using the technique, we have constructed the system to display on tiled display wall of remote site by transmitting via LAN each video image which captured by multiple cameras set on tiled display wall in 3 remote sites, and have conducted the communication experiment.",
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"title": "Proceedings Sixth International Conference on Information Visualisation",
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"abstract": "Wall-screen is a heterogeneous dual-headed display combining (1) a wall-size augmented surface to display peripheral information and (2) a common screen to focus on specific tasks. Wall-screen has been used for tasks related to the management of collections of web pages ranging from authoring new web pages to browsing, organizing or retrieving pages from existing collections. This specific application is used to illustrate the benefits of Wall-screen device but we believe that our model is generic enough to be used in many other areas where (1) a user needs to shift from his main focus to related peripheral information relatively frequently, (2) peripheral information might be organized, discussed, and shared among several users and (3) focus and periphery can be divided into two independent spaces with no additional cognitive load for the user. In this paper we present Wall-screen basics, we propose three different design strategies that determines: (1) how to manipulate information on the wall and (2) how to organize the space between the two display devices. Further we present preliminary evaluation and lessons learned.",
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"content": "Wall-screen is a heterogeneous dual-headed display combining (1) a wall-size augmented surface to display peripheral information and (2) a common screen to focus on specific tasks. Wall-screen has been used for tasks related to the management of collections of web pages ranging from authoring new web pages to browsing, organizing or retrieving pages from existing collections. This specific application is used to illustrate the benefits of Wall-screen device but we believe that our model is generic enough to be used in many other areas where (1) a user needs to shift from his main focus to related peripheral information relatively frequently, (2) peripheral information might be organized, discussed, and shared among several users and (3) focus and periphery can be divided into two independent spaces with no additional cognitive load for the user. In this paper we present Wall-screen basics, we propose three different design strategies that determines: (1) how to manipulate information on the wall and (2) how to organize the space between the two display devices. Further we present preliminary evaluation and lessons learned.",
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"User Interface",
"WWW",
"Evaluation"
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"affiliation": "University Montpellier II",
"fullName": "Mountaz Hascoët",
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"affiliation": "University of Paris-Sud",
"fullName": "Frederic Sackx",
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"title": "Propagation of Orientation Uncertainty of 3D Rigid Object to Its Points",
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"abstract": "If a CAD model of a rigid object is available, the location of any point on an object can be derived from the measured 6DOF pose of the object. However, the uncertainty of the measured pose propagates to the uncertainty of the point in an anisotropic way. We investigate this propagation for a class of systems that determine an object pose by using point-based rigid body registration. For such systems, the uncertainty in the location of the points used for registration propagates to the pose uncertainty. We find that for different poses of the object, the direction corresponding to the smallest propagated uncertainty remains relatively unchanged in the object's local frame, regardless of object pose. We show that this direction may be closely approximated by the moment of inertia axis which is based on the configuration of the fiducials. We use existing theory of rigid-body registration to explain the experimental results, discuss the limitations of the theory and practical implications of our findings.",
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"content": "If a CAD model of a rigid object is available, the location of any point on an object can be derived from the measured 6DOF pose of the object. However, the uncertainty of the measured pose propagates to the uncertainty of the point in an anisotropic way. We investigate this propagation for a class of systems that determine an object pose by using point-based rigid body registration. For such systems, the uncertainty in the location of the points used for registration propagates to the pose uncertainty. We find that for different poses of the object, the direction corresponding to the smallest propagated uncertainty remains relatively unchanged in the object's local frame, regardless of object pose. We show that this direction may be closely approximated by the moment of inertia axis which is based on the configuration of the fiducials. We use existing theory of rigid-body registration to explain the experimental results, discuss the limitations of the theory and practical implications of our findings.",
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"fno": "1034c183",
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"fullName": "Marek Franaszek",
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"normalizedAbstract": "In this paper, a Bayesian knowledge reasoning network based on CBR is introduced, and a hybrid recommendation algorithm integrated CBR with Bayesian network is proposed, which can be applied to ITS. The hybrid algorithm filters the candidates case using CBR, calculates the similarity between students' characters terminology and learning resources as well as the similarity between students' characters terminology and teaching methods by the collaborative filtering technology based on users' score, and then calculates the posterior probabilities between the users and the users' characters by Bayesian probability calculation formula and Bayesian knowledge reasoning network, extracts the appropriate learning resources and teaching methods from the existing learning resources pool and teaching methods base, then recommends them to the students. Thus, the intelligent recommendation function of ITS is achieved. Empirical results show that the search space is reduced and the search efficiency is also improved.",
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"abstract": "If the full CRISP DM life-cycle is to be implemented then there needs to be a means by which business logic, understanding and aims can be directly related to the DM and KDD modelling process, and then onto deployment. Several graphical ways of representing data and models are considered: the E-R diagram, linked data and model ontologies, and graphicalmodel/ Bayesian-net dependency diagrams. It is suggested that the provision of graphical tools for the domain expert to express their prior knowledge, understanding and aims is the best way of linking these to the DM & KDD process and subsequent deployment of discovered knowledge.",
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"content": "If the full CRISP DM life-cycle is to be implemented then there needs to be a means by which business logic, understanding and aims can be directly related to the DM and KDD modelling process, and then onto deployment. Several graphical ways of representing data and models are considered: the E-R diagram, linked data and model ontologies, and graphicalmodel/ Bayesian-net dependency diagrams. It is suggested that the provision of graphical tools for the domain expert to express their prior knowledge, understanding and aims is the best way of linking these to the DM & KDD process and subsequent deployment of discovered knowledge.",
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"title": "A Novel Approach to Big Data Veracity Using Crowdsourcing Techniques and Bayesian Predictors",
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"abstract": "In today's world data is being generated at a tremendous pace and there have to be enough measures in place to verify the nature of big data. Analysis performed on 'dirty' data may lead to erroneous insights and thereby shaping decisions poorly. The aspect of big data that deals with its correctness is known as big data veracity. Trusting the data acquired goes a long way in implementing decisions from an automated decision-making system and veracity helps to validate the data acquired. In this paper, we present our solution to the big data veracity problem using crowdsourcing techniques. Our solution involves the use of sentiment analysis, which deals with identifying the sentiment expressed in a piece of text. As a proof of concept, we have developed an app that requires users to tag tweets as per the sentiment it evokes in them. Each tweet would therefore get ratified by hundreds of our participants and the sentiment associated to the tweet gets tagged. The tagged emotion was then evaluated against the verified emotion as compared to a verified data set. This analysis was then plotted on a ROC curve and also evaluated against verified data using a Bayesian predictor trained with a trinomial function. As can be seen, an accuracy of 81% was obtained as displayed by the ROC curve and 89% through the Bayesian predictor. Also, a MAP analysis of the Bayesian predictor yields neutral sentiment as the most probable hypothesis. By doing this, we have proven that crowdsourcing of sentiment analysis is a viable solution to the problem of big data veracity and therefore an aid in making better decisions.",
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"content": "In today's world data is being generated at a tremendous pace and there have to be enough measures in place to verify the nature of big data. Analysis performed on 'dirty' data may lead to erroneous insights and thereby shaping decisions poorly. The aspect of big data that deals with its correctness is known as big data veracity. Trusting the data acquired goes a long way in implementing decisions from an automated decision-making system and veracity helps to validate the data acquired. In this paper, we present our solution to the big data veracity problem using crowdsourcing techniques. Our solution involves the use of sentiment analysis, which deals with identifying the sentiment expressed in a piece of text. As a proof of concept, we have developed an app that requires users to tag tweets as per the sentiment it evokes in them. Each tweet would therefore get ratified by hundreds of our participants and the sentiment associated to the tweet gets tagged. The tagged emotion was then evaluated against the verified emotion as compared to a verified data set. This analysis was then plotted on a ROC curve and also evaluated against verified data using a Bayesian predictor trained with a trinomial function. As can be seen, an accuracy of 81% was obtained as displayed by the ROC curve and 89% through the Bayesian predictor. Also, a MAP analysis of the Bayesian predictor yields neutral sentiment as the most probable hypothesis. By doing this, we have proven that crowdsourcing of sentiment analysis is a viable solution to the problem of big data veracity and therefore an aid in making better decisions.",
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"abstract": "This paper is focusing on exact Bayesian reasoning in systems of agents, which represent weakly coupled processing modules supporting collaborative inference through message passing. By using the theory on factor graphs and cluster graphs we (i) analyze the suitability of the existing approaches to modular inference with respect to a relevant class of domains and (ii) derive methods for construction of modular systems, which support globally coherent Bayesian inference without compilation of secondary probabilistic structures spanning multiple modules. In the proposed approach dependencies between inference modules are reduced through targeted instantiation of variables, which is based on the analysis of cluster graphs.",
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"content": "This paper is focusing on exact Bayesian reasoning in systems of agents, which represent weakly coupled processing modules supporting collaborative inference through message passing. By using the theory on factor graphs and cluster graphs we (i) analyze the suitability of the existing approaches to modular inference with respect to a relevant class of domains and (ii) derive methods for construction of modular systems, which support globally coherent Bayesian inference without compilation of secondary probabilistic structures spanning multiple modules. In the proposed approach dependencies between inference modules are reduced through targeted instantiation of variables, which is based on the analysis of cluster graphs.",
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"abstract": "A new approach to unsupervised texture segmentation is represented. The method is based on a local texture measure, a grey tone spatial dependence matrix. The randomly sampled local measures self-organize to a topological feature map. The topological feature map is used as a set of reference vectors later on when the whole image is processed in raster scan manner by the local texture measurement. The label of a region is the address on the topological feature map. The interpretation of a label is given by identified samples. The method has been applied in segmentation of remote sensing images and aerial photographs.<>",
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"title": "2009 Pacific-Asia Conference on Circuits, Communications and Systems (PACCS 2009)",
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"abstract": "Geomagnetic reference map is the basis for geomagnetic navigation, and modeling of regional geomagnetic field is one of the available methods to construct the geomagnetic reference map. Common-used modeling methods are not so fit for the small-scale regional geomagnetic field, so new ways to modeling of regional geomagnetic field is needed. The total intensity of geomagnetic field is a complicated non-linear function of the longitude, the latitude and other factors. Since Support Vector Machine (SVM) is characterized by many excellent performances to approximate a complicated non-linear system, it is used to model the regional geomagnetic field in this paper. In SVM model, the longitude and the latitude are regarded as input variables, and the total intensity of geomagnetic field is regarded as the output variable. Of all the surveyed data, Some are used to train the SVM model, and the remain are used to verifying the precision of the model, and then the data needed to construct the geomagnetic reference map are predicted by the well-trained SVM model. Finally, the geomagnetic reference maps are constructed by both modeling method based on SVM and interpolation methods based on Kriging and Radial Basis Function (RBF), conclusion and discussion are given according to the experiment results.",
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"content": "Geomagnetic reference map is the basis for geomagnetic navigation, and modeling of regional geomagnetic field is one of the available methods to construct the geomagnetic reference map. Common-used modeling methods are not so fit for the small-scale regional geomagnetic field, so new ways to modeling of regional geomagnetic field is needed. The total intensity of geomagnetic field is a complicated non-linear function of the longitude, the latitude and other factors. Since Support Vector Machine (SVM) is characterized by many excellent performances to approximate a complicated non-linear system, it is used to model the regional geomagnetic field in this paper. In SVM model, the longitude and the latitude are regarded as input variables, and the total intensity of geomagnetic field is regarded as the output variable. Of all the surveyed data, Some are used to train the SVM model, and the remain are used to verifying the precision of the model, and then the data needed to construct the geomagnetic reference map are predicted by the well-trained SVM model. Finally, the geomagnetic reference maps are constructed by both modeling method based on SVM and interpolation methods based on Kriging and Radial Basis Function (RBF), conclusion and discussion are given according to the experiment results.",
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"normalizedAbstract": "Geomagnetic reference map is the basis for geomagnetic navigation, and modeling of regional geomagnetic field is one of the available methods to construct the geomagnetic reference map. Common-used modeling methods are not so fit for the small-scale regional geomagnetic field, so new ways to modeling of regional geomagnetic field is needed. The total intensity of geomagnetic field is a complicated non-linear function of the longitude, the latitude and other factors. Since Support Vector Machine (SVM) is characterized by many excellent performances to approximate a complicated non-linear system, it is used to model the regional geomagnetic field in this paper. In SVM model, the longitude and the latitude are regarded as input variables, and the total intensity of geomagnetic field is regarded as the output variable. Of all the surveyed data, Some are used to train the SVM model, and the remain are used to verifying the precision of the model, and then the data needed to construct the geomagnetic reference map are predicted by the well-trained SVM model. Finally, the geomagnetic reference maps are constructed by both modeling method based on SVM and interpolation methods based on Kriging and Radial Basis Function (RBF), conclusion and discussion are given according to the experiment results.",
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"Interpolation",
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"Reference Map",
"Navigation",
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"fullName": "Shi-cheng Wang",
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"fullName": "Yu-kun Qiao",
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"abstract": "People are more willing to use visual experience to help their routine work nowadays. The great success of Google map has raised user expectations about geovisualization. In this paper, we presented a web-based architecture for integrating geospatial web services with Pictometry® imagery flown by Pictometry International Corporation (Inc.). Pictometry® imagery enables us to view the land surface of interest with very high spatial resolution images from different angles (oblique or ortho image). By integrating Pictometry image service and other geospatial web services under the proposed architecture, we developed two Spatial Information Systems (SIS), Detroit Public School Facilities and Land Management Information System (DPS-FLMIS) Detroit Facility and City Engineering Management System (Detroit FCEMS), which could be used by end users to facilitate their routine work by taking the advantage of both the online interactive map manipulation and the high resolution images extracted from Pictometry image warehouse. The architecture, characterized by its flexibility and powerfulness in terms of building new SISs, integrates different geospatial web services and can also be applied in many other fields, which makes it possible to reuse the available resources of spatial information services",
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"abstract": "This article approaches, in a sensitive way, cartography and video games to show that spatial perception and visualization are subjective and are reinforced by some media. By materializing the mental map described by Patricia Marks Greenfield, our proposal allows the learner to outline his path and thus his three-dimensional map. Thus, this map helps the learner in the understanding of archaeological and architectural heritage, by facilitating the representation of information and by increasing its memorization.",
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"title": "Development Status and Implementation Research of Three-Dimension Digital Map",
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"abstract": "Three-dimension digital map has become an important development direction of map with the fast development of the computer and spatial data acquisition technology, and it has brought a tremendous impact to our lives in the network environment. The paper described the development status and theoretical foundation of the three-dimension digital map, then introduced the construction principle of real three-dimension digital map and virtual three-dimension digital map, and pointed out the importance of the computer graphics in the building of three-dimension digital map. According to the current three-dimension digital map products, the paper provided three methods building three-dimension digital map, namely, CAD technology, OpenGL technology and GIS-based software technology, and analyzed the advantages and disadvantages of those methods. In the end, the paper contributed to the reasonable suggestions for the development and the application prospect of three-dimension digital map.",
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"content": "Three-dimension digital map has become an important development direction of map with the fast development of the computer and spatial data acquisition technology, and it has brought a tremendous impact to our lives in the network environment. The paper described the development status and theoretical foundation of the three-dimension digital map, then introduced the construction principle of real three-dimension digital map and virtual three-dimension digital map, and pointed out the importance of the computer graphics in the building of three-dimension digital map. According to the current three-dimension digital map products, the paper provided three methods building three-dimension digital map, namely, CAD technology, OpenGL technology and GIS-based software technology, and analyzed the advantages and disadvantages of those methods. In the end, the paper contributed to the reasonable suggestions for the development and the application prospect of three-dimension digital map.",
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"doi": "10.1109/DEXA.2009.63",
"title": "A Method to Estimate Object Existence Based on Temporal Analysis of Web Pages for Digital Map Credibility",
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"abstract": "Digital maps are widely used these days. However, they often display geographical objects that are no longer present or do not display newly created geographical objects because the various map suppliers update their maps at different times. In other words, map media contain wrong information. Users who believe that a digital map contains accurate information may encounter problems when going somewhere using an incorrect digital map. We propose a calculation method to determine the degree of existence of an object for geographical objects displayed on digital maps in order to establish a map's credibility. Specifically, we first extract temporal Web pages from Web archives by searching for each geographical object as query. Next, we calculate the degree of existential support using the update history of extracted temporal Web pages. Finally, we calculate the degree of existence of an object based on all degrees of support. We display map content with a valid object to establish map credibility.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Digital maps are widely used these days. However, they often display geographical objects that are no longer present or do not display newly created geographical objects because the various map suppliers update their maps at different times. In other words, map media contain wrong information. Users who believe that a digital map contains accurate information may encounter problems when going somewhere using an incorrect digital map. We propose a calculation method to determine the degree of existence of an object for geographical objects displayed on digital maps in order to establish a map's credibility. Specifically, we first extract temporal Web pages from Web archives by searching for each geographical object as query. Next, we calculate the degree of existential support using the update history of extracted temporal Web pages. Finally, we calculate the degree of existence of an object based on all degrees of support. We display map content with a valid object to establish map credibility.",
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"abstract": "The display of data related to graphical objects on a map is a well studied problem in cartography and several approaches have been published. Adapting the idea of boundary labeling using a focus region, we face the problem of emphasizing additional information and labels for objects within a focus region even when the region might be moving. We propose four different approaches that support effective solutions in various ways, and discuss advantages and drawbacks. Our algorithms regard the dynamic nature of the focus region to place the labels and preserve the mental map of the analyzed drawing. We demonstrate our methods by applying them to biological networks.",
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"doi": "10.1109/IJCSS.2011.79",
"title": "Study on the Impacts of Opinion Leader in Online Consuming Decision",
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"abstract": "Traditional researches on affecting factors of online consumer purchasing decision evolutes from consumer willing, consumer behaviors to online Word-of-Mouth (WOM), all of which emphasis the decision-making of seller, while product selection is dismissed. With the development of social media network, online opinion leaders who focus on certain products recommendation instead of sellers are become more and more popular. Based on the discussion of affecting factors in online consumer purchasing decision, this paper analyzes the systematic and professional recommendation process of opinion leaders under online WOM scenario. The popularity of opinion leader not only influences sales of products and consumer searching behavior, but also WOM propaganda patterns and e-business model innovation.",
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"content": "Traditional researches on affecting factors of online consumer purchasing decision evolutes from consumer willing, consumer behaviors to online Word-of-Mouth (WOM), all of which emphasis the decision-making of seller, while product selection is dismissed. With the development of social media network, online opinion leaders who focus on certain products recommendation instead of sellers are become more and more popular. Based on the discussion of affecting factors in online consumer purchasing decision, this paper analyzes the systematic and professional recommendation process of opinion leaders under online WOM scenario. The popularity of opinion leader not only influences sales of products and consumer searching behavior, but also WOM propaganda patterns and e-business model innovation.",
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"abstract": "Due to the limited depth-of-focus of optical lenses, it is often difficult to get an image that contains all relevant objects in focus. Multi-focus image fusion algorithms can solve this problem effectively. Based on the analysis of the most widely used multi-focus image fusion algorithms, a new curvelet transform based multi-focus image fusion algorithm is proposed in this paper. According to the different frequency areas decomposed by Curvelet transform, the selection rules of the low frequency coefficients and the high frequency coefficients are discussed respectively. Low frequency coefficients and the high frequency coefficients are fused with NGMS (Neighborhood Gradient Maximum Selectivity) and LREMS (Local Region Energy Maximum Selectivity) separately in this paper. It is shown that the multi-focus image fusions by the proposed algorithm can obtain the same scene in focus image fusion, and have protruding advantage over other algorithms on subjective evaluation and objective evaluation.",
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{
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"content": "Due to the limited depth-of-focus of optical lenses, it is often difficult to get an image that contains all relevant objects in focus. Multi-focus image fusion algorithms can solve this problem effectively. Based on the analysis of the most widely used multi-focus image fusion algorithms, a new curvelet transform based multi-focus image fusion algorithm is proposed in this paper. According to the different frequency areas decomposed by Curvelet transform, the selection rules of the low frequency coefficients and the high frequency coefficients are discussed respectively. Low frequency coefficients and the high frequency coefficients are fused with NGMS (Neighborhood Gradient Maximum Selectivity) and LREMS (Local Region Energy Maximum Selectivity) separately in this paper. It is shown that the multi-focus image fusions by the proposed algorithm can obtain the same scene in focus image fusion, and have protruding advantage over other algorithms on subjective evaluation and objective evaluation.",
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"fullName": "Qiang Fu",
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"affiliation": null,
"fullName": "Fenghua Ren",
"givenName": "Fenghua",
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"affiliation": null,
"fullName": "Legeng Chen",
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"affiliation": null,
"fullName": "Zhexin Xiao",
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"title": "Technology Migration Techniques for Simplified Layouts with Restrictive Design Rules",
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"abstract": "Designs using simple geometric layout objects (such as points, sticks and rectangles) with restrictive design rules (RDRs) on each layout object (i.e., it must be placed on a set of grids subject to a set of ground rules) have been introduced as an approach to better enable design for manufacturability (DFM) in ultra-deep submicron designs (Lavin et al., 2004). In this paper, we study the problem of migrating the conventional shape-based layouts to the simplified layouts with RDR constraints. We present a migration flow which consists of two process steps: (1) conversion where shapes (such as polygons) are converted to simple geometric objects (such as sticks) while the topology is maintained; and (2) grid legalization for RDRs where the simple geometric objects are placed on grid subject to the given set of ground rules by using a novel legalization algorithm, the minimum perturbation-driven graph-based grid legalization (MP-GGL) algorithm. We demonstrate the effectiveness of the flow by successfully migrating a set of library cells in the conventional shape-based technology to the simplified layouts with RDR constraints",
"abstracts": [
{
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"content": "Designs using simple geometric layout objects (such as points, sticks and rectangles) with restrictive design rules (RDRs) on each layout object (i.e., it must be placed on a set of grids subject to a set of ground rules) have been introduced as an approach to better enable design for manufacturability (DFM) in ultra-deep submicron designs (Lavin et al., 2004). In this paper, we study the problem of migrating the conventional shape-based layouts to the simplified layouts with RDR constraints. We present a migration flow which consists of two process steps: (1) conversion where shapes (such as polygons) are converted to simple geometric objects (such as sticks) while the topology is maintained; and (2) grid legalization for RDRs where the simple geometric objects are placed on grid subject to the given set of ground rules by using a novel legalization algorithm, the minimum perturbation-driven graph-based grid legalization (MP-GGL) algorithm. We demonstrate the effectiveness of the flow by successfully migrating a set of library cells in the conventional shape-based technology to the simplified layouts with RDR constraints",
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"normalizedAbstract": "Designs using simple geometric layout objects (such as points, sticks and rectangles) with restrictive design rules (RDRs) on each layout object (i.e., it must be placed on a set of grids subject to a set of ground rules) have been introduced as an approach to better enable design for manufacturability (DFM) in ultra-deep submicron designs (Lavin et al., 2004). In this paper, we study the problem of migrating the conventional shape-based layouts to the simplified layouts with RDR constraints. We present a migration flow which consists of two process steps: (1) conversion where shapes (such as polygons) are converted to simple geometric objects (such as sticks) while the topology is maintained; and (2) grid legalization for RDRs where the simple geometric objects are placed on grid subject to the given set of ground rules by using a novel legalization algorithm, the minimum perturbation-driven graph-based grid legalization (MP-GGL) algorithm. We demonstrate the effectiveness of the flow by successfully migrating a set of library cells in the conventional shape-based technology to the simplified layouts with RDR constraints",
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"Technology Migration",
"Simplified Layouts",
"Restrictive Design Rules",
"Geometric Layout Objects",
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"Design For Manufacturability",
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"affiliation": "IBM TJ Watson Res., Yorktown Heights, NY",
"fullName": "Xiaoping Tang",
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"doi": "10.1109/INFOVIS.2005.1",
"title": "A Note on Space-Filling Visualizations and Space-Filling Curves",
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"abstract": "A recent line of treemap research has focused on layout algorithms that optimize properties such as stability, preservation of ordering information, and aspect ratio of rectangles. No ideal treemap layout algorithm has been found, and so it is natural to explore layouts that produce non-rectangular regions. This note describes a connection between space-filling visualizations and the mathematics of space-filling curves, and uses that connection to characterize a family of layout algorithms which produce nonrectangular regions but enjoy geometric continuity under changes to the data and legibility even for highly unbalanced trees.",
"abstracts": [
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"content": "A recent line of treemap research has focused on layout algorithms that optimize properties such as stability, preservation of ordering information, and aspect ratio of rectangles. No ideal treemap layout algorithm has been found, and so it is natural to explore layouts that produce non-rectangular regions. This note describes a connection between space-filling visualizations and the mathematics of space-filling curves, and uses that connection to characterize a family of layout algorithms which produce nonrectangular regions but enjoy geometric continuity under changes to the data and legibility even for highly unbalanced trees.",
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"affiliation": "IBM Research",
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"content": "The LWR model's proposition has played an important part in the traffic flow study history. In this paper, we advance an extension model from the origin LWR model. The model takes slope and heterogeneous drivers into account according to an increased speed caused by gravity. We separate heterogeneous drivers with different free flow speed on the flat road and take their interaction into consideration. Numerical simulation is then done and traffic flow status can be shown clearly which confirms the effectiveness of this model.",
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"title": "2009 International Conference on Artificial Intelligence and Computational Intelligence",
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"title": "Application of Optimum Perturbation Algorithm for Parameter Inversion Identification of Soil Moisture Model under Ecological Slope Protection",
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"abstract": "Based on porous media fluid dynamics theory and parameter inversion identification technology, mathematical model of soil moisture movement for ecological slope protection was established, and corresponding numerical inversion model was proposed. Using optimum perturbation algorithm, parameter inverse problem of soil water properties was conducted on numerical solution and inversion identification under ecological slope protection. Calculation results show that numerical inversion has good consistency with experimental test. Optimum perturbation algorithm ensures validity of parameter inverse problem in unsaturated soil moisture, exhibiting certain stability towards data disturbance. It also solves sensitive question of initial parameters on calculation results, less dependent on prior information of solution. It provides theoretical basis and technical support for scheme determination of ecological slope protection as well as optimization of moisture characteristic parameter.",
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"content": "Based on porous media fluid dynamics theory and parameter inversion identification technology, mathematical model of soil moisture movement for ecological slope protection was established, and corresponding numerical inversion model was proposed. Using optimum perturbation algorithm, parameter inverse problem of soil water properties was conducted on numerical solution and inversion identification under ecological slope protection. Calculation results show that numerical inversion has good consistency with experimental test. Optimum perturbation algorithm ensures validity of parameter inverse problem in unsaturated soil moisture, exhibiting certain stability towards data disturbance. It also solves sensitive question of initial parameters on calculation results, less dependent on prior information of solution. It provides theoretical basis and technical support for scheme determination of ecological slope protection as well as optimization of moisture characteristic parameter.",
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"normalizedAbstract": "Based on porous media fluid dynamics theory and parameter inversion identification technology, mathematical model of soil moisture movement for ecological slope protection was established, and corresponding numerical inversion model was proposed. Using optimum perturbation algorithm, parameter inverse problem of soil water properties was conducted on numerical solution and inversion identification under ecological slope protection. Calculation results show that numerical inversion has good consistency with experimental test. Optimum perturbation algorithm ensures validity of parameter inverse problem in unsaturated soil moisture, exhibiting certain stability towards data disturbance. It also solves sensitive question of initial parameters on calculation results, less dependent on prior information of solution. It provides theoretical basis and technical support for scheme determination of ecological slope protection as well as optimization of moisture characteristic parameter.",
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"fullName": "Qiang Xue",
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"abstract": "The aspect ratio of a plot can strongly influence the perception of trends in the data. Arc length based aspect ratio selection (AL) has demonstrated many empirical advantages over previous methods. However, it is still not clear why and when this method works. In this paper, we attempt to unravel its mystery by exploring its mathematical foundation. First, we explain the rationale why this method is parameterization invariant and follow the same rationale to extend previous methods which are not parameterization invariant. As such, we propose maximizing weighted local curvature (MLC), a parameterization invariant form of local orientation resolution (LOR) and reveal the theoretical connection between average slope (AS) and resultant vector (RV). Furthermore, we establish a mathematical connection between AL and banking to 45 degrees and derive the upper and lower bounds of its average absolute slopes. Finally, we conduct a quantitative comparison that revises the understanding of aspect ratio selection methods in three aspects: (1) showing that AL, AWO and RV always perform very similarly while MS is not; (2) demonstrating the advantages in the robustness of RV over AL; (3) providing a counterexample where all previous methods produce poor results while MLC works well.",
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"fullName": "Baoquan Chen",
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"abstract": "Instability of Slopes is a most common geological hazards in natural world. At present, slope stability evaluation depends largely on slope stability coefficient calculation. Analysis and evaluation of slope stability is a complex geotechnical problem because material composition, internal structures, water content, density of rock and soil mass are changed with surrounding circumstances and loads. It is well known that stablity coefficient calculation has to rely on slope mechanical parameters. However, in geotechnical engineering field there are many uncertainty factors needed to further study. As a result, slope stability coefficient calculation also exists inaccuracy. Furthermore, if sample sizes of slopes are limited because of lacks of enough capital investment, extreme climate and environmental burst accidents, it is much more difficult for us to evaluate slope stablity and to take effective measures to cope with slope deformation. In this paper, aiming at these problems some new approaches to estimate slope mechanical parameters under condition of limited samples has been established through using Bayesian estimation theory and FEM back-analysis method. After application above-mentioned new approaches, the results indicate that studying on probability model distribution and estimation of slope mechnical parameters and application FEM back-analysis method with limited sample sizes and monitored data are very important to slope safety evaluation.",
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"content": "Instability of Slopes is a most common geological hazards in natural world. At present, slope stability evaluation depends largely on slope stability coefficient calculation. Analysis and evaluation of slope stability is a complex geotechnical problem because material composition, internal structures, water content, density of rock and soil mass are changed with surrounding circumstances and loads. It is well known that stablity coefficient calculation has to rely on slope mechanical parameters. However, in geotechnical engineering field there are many uncertainty factors needed to further study. As a result, slope stability coefficient calculation also exists inaccuracy. Furthermore, if sample sizes of slopes are limited because of lacks of enough capital investment, extreme climate and environmental burst accidents, it is much more difficult for us to evaluate slope stablity and to take effective measures to cope with slope deformation. In this paper, aiming at these problems some new approaches to estimate slope mechanical parameters under condition of limited samples has been established through using Bayesian estimation theory and FEM back-analysis method. After application above-mentioned new approaches, the results indicate that studying on probability model distribution and estimation of slope mechnical parameters and application FEM back-analysis method with limited sample sizes and monitored data are very important to slope safety evaluation.",
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"title": "Adapted Genetic Algorithm Applied to Slope Reliability Analysis",
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"abstract": "A new genetic algorithm (GA) was Presented with good convergence properties and a remarkable low computational load. Such features are achieved by dynamically tuning up the probabilities of crossover and mutation on the basis of the variability of the individuals' fitness values. This way, a brand new method to control and adjust the population diversity is obtained. The resulting GA attains quality solutions, offering an alternative to other global search techniques, as well as standard GAs. The new method is applied to solve the problem of reliability analysis in slope engineering, where the main aim is to obtain the lowest reliability index which corresponds to the most dangerous failure surface. For a given critical surface, an optimization model on slope reliability was deducted by Lagrange method, and computational load was reduced as well; the algorithm was adopted to search for the critical surface where a fitness function was suggested for slopes and genetic operators were controlled automatically so as to attain a good convergent but low complex property.",
"abstracts": [
{
"abstractType": "Regular",
"content": "A new genetic algorithm (GA) was Presented with good convergence properties and a remarkable low computational load. Such features are achieved by dynamically tuning up the probabilities of crossover and mutation on the basis of the variability of the individuals' fitness values. This way, a brand new method to control and adjust the population diversity is obtained. The resulting GA attains quality solutions, offering an alternative to other global search techniques, as well as standard GAs. The new method is applied to solve the problem of reliability analysis in slope engineering, where the main aim is to obtain the lowest reliability index which corresponds to the most dangerous failure surface. For a given critical surface, an optimization model on slope reliability was deducted by Lagrange method, and computational load was reduced as well; the algorithm was adopted to search for the critical surface where a fitness function was suggested for slopes and genetic operators were controlled automatically so as to attain a good convergent but low complex property.",
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"normalizedAbstract": "A new genetic algorithm (GA) was Presented with good convergence properties and a remarkable low computational load. Such features are achieved by dynamically tuning up the probabilities of crossover and mutation on the basis of the variability of the individuals' fitness values. This way, a brand new method to control and adjust the population diversity is obtained. The resulting GA attains quality solutions, offering an alternative to other global search techniques, as well as standard GAs. The new method is applied to solve the problem of reliability analysis in slope engineering, where the main aim is to obtain the lowest reliability index which corresponds to the most dangerous failure surface. For a given critical surface, an optimization model on slope reliability was deducted by Lagrange method, and computational load was reduced as well; the algorithm was adopted to search for the critical surface where a fitness function was suggested for slopes and genetic operators were controlled automatically so as to attain a good convergent but low complex property.",
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"abstract": "On May 12, 2008, a magnitude 8.0 earthquake hit Wenchuan Country, Sichuan Province, resulted in abundant landslides and slope failures were triggered. Besides, a lot of slopes were instability and needs corresponding treatment to reinforcement, especially in some important scenic spots in Sichuan. Leshan Giant Buddha scenic spot is one of the best scenic spots in China. Instable rock slope induced by earthquake is on the cliff of Wuyou Mountain near to Wuyou temple in Leshan Giant Buddha scenic spot. Instable rock slope seriously threatened the safety of some important scenery in Leshan Giant Buddha, such as the provincial unit in preservation of cultural relics of “Meander Core”, the “eyelash” of the giant sleeping Buddha, Jingyun pavilion and the words “Mainstay” that is inscribed on the rock slope. So, investigation, surveying and probing technology, combined with stereographic projection were used to study on topographical and geological condition of the site. Base on above results, we analyzed the stability of the rock slope. At last, taking the anchor as the principal project, drainage and inlays as auxiliary project was proposed to stability the rock slope.",
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"title": "A Study on the Security Rating with the Use of the Slope-Ratio Method of a Figure",
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"abstract": "This study approaches a two-dimensional rectangular plane figure mathematically in order to improve a calculating method for a numerical value concerning the volume of inflow information based on all related items such as the traditional traffic input ratio measurement method, the width of network broadband, and transfer speed, as an information flow; thus, it deduces a ratio formula that calculates information volume according to a slope angle that expresses a formula in proportion to the weight regarding the inflow traffic volume. With deduced values, the study proposes a standardization process in the search for a new formula in access and values. Also, the study analyzed and classified aggressiveness with a slope ratio through the weight of inflow traffic. Then, given the fact that the higher the inflow traffic volume, the higher the possibility of the attack ratio, the study is to propose a research assignment that improves the security rating mechanism according to the new slope-ratio method.",
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"title": "Low Power Electronics and Design, International Symposium on",
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"article": {
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"doi": "10.1145/1283780.1283865",
"title": "Slope interconnect effort: gate-interconnect interdependentdelay model for CMOS logic gates",
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"abstract": "We present a circuit delay framework in a closed form that accounts for the dynamic behavior of signal slope in subthreshold (VDD < VT) as well as superthreshold (VDD > VT) regions. The proposed model converts a signal slope into its effective fanout for delay estimation. Simulations show that for ISCAS benchmark circuits, our framework exhibits a speedup of three orders of magnitude over HSPICE with 5% error. Measured results in 65nm show that for a wide range of interconnect lengths and geometries, the proposed model predicts the circuit delay with 5.7% error at the supply voltage of VDD = 1.2V , and with 4.5% error at VDD = 0.4V .",
"abstracts": [
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"content": "We present a circuit delay framework in a closed form that accounts for the dynamic behavior of signal slope in subthreshold (VDD < VT) as well as superthreshold (VDD > VT) regions. The proposed model converts a signal slope into its effective fanout for delay estimation. Simulations show that for ISCAS benchmark circuits, our framework exhibits a speedup of three orders of magnitude over HSPICE with 5% error. Measured results in 65nm show that for a wide range of interconnect lengths and geometries, the proposed model predicts the circuit delay with 5.7% error at the supply voltage of VDD = 1.2V , and with 4.5% error at VDD = 0.4V .",
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"normalizedAbstract": "We present a circuit delay framework in a closed form that accounts for the dynamic behavior of signal slope in subthreshold (VDD VT) regions. The proposed model converts a signal slope into its effective fanout for delay estimation. Simulations show that for ISCAS benchmark circuits, our framework exhibits a speedup of three orders of magnitude over HSPICE with 5% error. Measured results in 65nm show that for a wide range of interconnect lengths and geometries, the proposed model predicts the circuit delay with 5.7% error at the supply voltage of VDD = 1.2V , and with 4.5% error at VDD = 0.4V .",
"fno": "37090387",
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"authors": [
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"affiliation": "Purdue Univ.",
"fullName": "Myeong-Eun Hwang",
"givenName": "Myeong-Eun",
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{
"affiliation": "Yonsei Univ.",
"fullName": "Seong-Ook Jung",
"givenName": "Seong-Ook",
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{
"affiliation": "Purdue Univ.",
"fullName": "Kaushik Roy",
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"abstract": "The way information spreads through society has changed significantly over the past decade with the advent of online social networking. It is also observed that users have distinct behaviors, i.e., the topics of conversations shared among users, based on which social media platforms they use. However, many previous approaches for predicting information spreading in social networks do not consider this versatility. In this paper, we examine Independent Cascade (IC) information diffusion model which assumes that each node independently influences its neighboring nodes. We show the results of applying IC model to the biggest Russian social network Vkontakte (VK). We first apply the model to synthetic networks and compare the results with the real networks extracted for different topics. The results supports our hypothesis that the behavior of information diffusion in social media is different based on the topics shared. Our results also show that IC model does not properly describe the diffusion processes in VK.",
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"abstract": "Social media forms a central domain for the production and dissemination of real-time information. Even though such flows of information have traditionally been thought of as diffusion processes over social networks, the underlying phenomena are the result of a complex web of interactions among numerous participants. Here we develop the Linear Influence Model where rather than requiring the knowledge of the social network and then modeling the diffusion by predicting which node will influence which other nodes in the network, we focus on modeling the global influence of a node on the rate of diffusion through the (implicit) network. We model the number of newly infected nodes as a function of which other nodes got infected in the past. For each node we estimate an influence function that quantifies how many subsequent infections can be attributed to the influence of that node over time. A nonparametric formulation of the model leads to a simple least squares problem that can be solved on large datasets. We validate our model on a set of 500 million tweets and a set of 170 million news articles and blog posts. We show that the Linear Influence Model accurately models influences of nodes and reliably predicts the temporal dynamics of information diffusion. We find that patterns of influence of individual participants differ significantly depending on the type of the node and the topic of the information.",
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"content": "Social media forms a central domain for the production and dissemination of real-time information. Even though such flows of information have traditionally been thought of as diffusion processes over social networks, the underlying phenomena are the result of a complex web of interactions among numerous participants. Here we develop the Linear Influence Model where rather than requiring the knowledge of the social network and then modeling the diffusion by predicting which node will influence which other nodes in the network, we focus on modeling the global influence of a node on the rate of diffusion through the (implicit) network. We model the number of newly infected nodes as a function of which other nodes got infected in the past. For each node we estimate an influence function that quantifies how many subsequent infections can be attributed to the influence of that node over time. A nonparametric formulation of the model leads to a simple least squares problem that can be solved on large datasets. We validate our model on a set of 500 million tweets and a set of 170 million news articles and blog posts. We show that the Linear Influence Model accurately models influences of nodes and reliably predicts the temporal dynamics of information diffusion. We find that patterns of influence of individual participants differ significantly depending on the type of the node and the topic of the information.",
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"abstract": "Social media has attracted attention as an information channel for content generated in heterogeneous Internet services. Focusing on social media platforms, we examine the factors behind social transmission with content crossover from other services through hypertext link (URL). We investigate the effects of source influence and peer referrals on diffusion outcome and address their variations in the case of content crossover. Using 3,504,831 diffusion processes identified from real transaction data in Twitter, we demonstrate the existence of source and peer effects on content diffusion. These effects vary when shared content is linked with an external service by a URL. Source influence and peer referral have a positive impact on cascade size in the content dissemination process. In the case of content crossover, the impact of source influence decreases. However, the impact of peer referrals increases in the process of external content dissemination. Implications for researchers and managers are discussed.",
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"abstract": "The event evolution mining for news corpus is beneficial for people who are less interested in the set of documents related by a topic rather than the underlying stories. Most of state-of-the-art approaches which derived from the TDT field considered events at the document level, which made different granularity for each event in evolution graph. In this paper, we consider events from a unified perspective by introducing the IE techniques into this task. We propose an unsupervised approach to explore event evolution patterns through extracting atomic event from documents, identifying their co-reference, and measuring their relationship automatically. And then we construct the event evolution graph. Meanwhile, we propose two policies to find a newsworthy subset from a mass of atomic events in a news corpus to simplify the event evolution graph. Finally, we show experimentally that our method which works on a Chinese news corpus can construct the atomic event evolution graph, whose vertexes are standing for important events of the topic, and edges are reasonable relationship between their adjacent events.",
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"abstract": "Past research on temporal databases has primarily focused on state-based representations and on relational query language extensions for such representations. This led to many different proposals that had did not succeed in making a significant impact on SQL-compliant DBMS.More recently however, there has been significant interest and progress on event sequences,leading to vendor-proposed extensions of SQL standards for pattern queries based on Kleene-closure expressions.In this paper, we first outline these extensions and their uses in dealing with sequence of events, and then show that they can also be used effectively to express more traditional temporal queries, such as coalescing and joins, on state-based representations.Thus, we propose an approach that takes full advantage of the fact that every state-based representation also has a dual representation based on its start-event and its end-event.",
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