Abstract: A non-conformance analysis system may have an associative memory subsystem populated with information involving a plurality of entities defining different attributes of a component, with each entity being categorized under a user defined entity type, the entities and entity types forming an associative memory. A user input device may be used for enabling a user to input a query concerning the component, and to obtain information useful for managing a lifecycle of said component. An associative memory entity analytics engine in communication with the associative memory subsystem, and responsive to said user input device, searches the associative memory using the information provided in the query to retrieve entities helpful to the user in assessing the lifecycle of the component.

Abstract: A target domain name is classified using hash strides including domain name components. The hash strides are fed into a set of bloom filters programmed to identify pre-determined domain name categories. A programmable mapping table is provided for selecting one of many probable classifications.

Abstract: A method, system and program product comprise accessing a transaction records database. Unmatched records are collected into a first set. The first set at least comprises events and transactions. Probabilities of event matches of transactions originating from an event are calculated. The calculating uses at least defined features and stored probability distributions. A quality value for each of the event matches is calculated. The quality value is at least in part being determined by the probability of the event match. A second set of optimized event matches is determined using at least the quality values. Each of the optimized event matches at least comprises transactions deemed to have been generated by the event.

Abstract: A method for grouping network service users includes acquiring attribute and/or behavior data of multiple users within a current period, and converting the attribute and/or behavior data into standardized data; determining multiple group central points according to the standardized data, and placing the standardized data in a group where a group central point having a shortest distance is located; determining group features of groups according to standardized data in the groups; and separately pushing corresponding service push information to users in the groups according to the group features of the groups. In addition, an apparatus for grouping network service users is further described.

Abstract: A device may receive an instruction to classify software. The device may identify a group of one or more user interfaces associated with the software based on receiving the instruction to classify the software. The device may determine a group of one or more user interface signatures associated with the group of one or more user interfaces. A user interface signature may include information, associated with a user interface in the group of one or more user interfaces, that may be used to classify the software. The device may generate information that identifies a classification of the software based on the group of one or more user interface signatures and based on known signature information. The known signature information may include information that corresponds to a correct software classification. The device may output the information that identifies the classification of the software.

Abstract: Methods and apparatus related to providing user-guided term suggestions. Some implementations may be directed to identifying user input that includes at least one term and identifying a user-initiated activity near the term. An edit term may be identified based on the user-initiated activity near the term, an edit position in the edit term may be identified, and one or more candidate terms may be identified based on the edit term. Similarity measures for the candidate terms may be determined. The similarity measure of a given candidate term of the candidate terms may be based on the edit position. One or more of the candidate terms may be selected as suggested terms based on the similarity measures and the selected suggested terms provided for potential replacement of the edit term.

Abstract: An approach is provided in which a knowledge manager creates a pattern set based on training data that includes paraphrases and a set of first syntactic patterns. The knowledge manager receives a user question and matches one of the first syntactic patterns to a second syntactic pattern generated from the user question. Based on the matching, the knowledge manager generates new questions using the paraphrases in the pattern set and utilizes the new questions to query a second set of data and generate candidate answers that correspond to the user question.

Abstract: The disclosure discloses an apparatus and method for searching for information so as to avoid the accuracy of the search from being degraded due to a loss of information. The method includes: receiving an interactive sentence for searching for information; determining a target semantic attribute template from a set of semantic attribute templates, where the target semantic attribute template is a semantic attribute template including semantic attributes corresponding respectively to semantic attributes of a plurality of consecutive words in the interactive sentence, and the set of semantic attribute templates includes at least one semantic attribute template including multiple semantic attributes in sequence or one semantic attribute; determining a phrase including a plurality of consecutive words matching the target semantic attribute template as a single-query condition of the interactive sentence; and searching for information according to the single-query condition.

Abstract: The device alert system includes a home gateway coupled to multiple customer premises equipment (CPE) devices. The home gateway monitors communications among the gateway and the CPE devices to detect errors and/or issues arising from use of the gateway or CPE devices. It also has access to textual information describing each of the CPE devices. The home gateway automatically generates a search query by converting the detected error and/or issue into a text string and combining it with the text information describing the CPE device for which the error and/or issue was detected. The home gateway then causes a search to be performed based on the search query and causes the results of the search to be parsed and compared to the query. The home gateway then presents the results of the search to the user to assist the user in resolving the error and/or issue.

Abstract: Techniques are described for determining recommended tourist based on the real time collection and analysis of biological information regarding users. Sensors in proximity to a user may collect neural activity data (e.g., brain wave data) and physiological data (e.g., blood pressure, heart rate, blood sugar level, etc.). The biological information may be analyzed to determine, for each user, an emotion metric indicating an emotional state of the user at various times. The emotion metrics may be correlated with location data to determine the emotion metric of the user at various sites during a trip. Tag metadata describing the location(s) may be clustered through semantic analysis to generate clusters of semantically similar tags. Emotion metric scores for the clusters may be employed to predict destination(s) where the user(s) may exhibit positive emotion metrics, and the predicted destination(s) may be presented to users in advertisements or other content.

Abstract: A system and method for feature selection within an electronic data file includes gathering a plurality of features from a first electronic data file. A relevancy of each of the plurality of features of the first electronic data file is determined, wherein the relevancy is expressed numerically. At least one of the plurality of features meeting a predetermined relevancy numeric is selected to create a summary file for one feature of the first electronic data file. The one feature of the first electronic data file is isolated with features of other electronic data files. A feature matrix is created for each electronic data file, the feature matrix having the plurality of features for each electronic data file. A connection between one of the plurality of features within the feature matrix is identified with a searched string based on a relevancy of the plurality of features to the electronic data file.

Abstract: One example is a system including a plurality of summarization engines, a plurality of meta-algorithmic patterns, an extractor, and an evaluator. Each of the plurality of summarization engines receives a text document to provide a meta-summary of the text document. The extractor extracts at least one summarization term from the meta-summary. The extractor generates at least one class term for each given class of a plurality of classes of documents, the at least one class term extracted from documents in the given class. The evaluator determines similarity measures of the text document over each given class of documents of the plurality of classes, each similarity measure indicative of a similarity between the at least one summarization term and the at least one class term for each given class. The selector selects a class of the plurality of classes, the selecting based on he determined similarity measures.

Abstract: A method for extracting residual videos in a DVR hard disk and deleted videos, including: 1) connecting and recognizing devices; 2) judging whether a file system can be recognized; 3) if so, parsing disk partitions and matching the file system; 4) scanning sectors one by one; 5) parsing video data, capturing and recording same; 6) enumerating a video list and displaying same; and 7) extracting videos. Parsing and data extraction can be conducted on all DVR hard disks of various types of various manufacturers, and files in the hard disks can be reorganized into valid, single-channel and continuously played video files; and useful video data can be parsed and screened out, thereby reducing human and material resources.

Abstract: Systems and methods of the present invention provide for one or more server computers communicatively coupled to a network and configured to: store data records associated with an industry, with tags defining the content, layout or style of a website; aggregate industry related data records via data entry or extraction; receive a request to automatically generate a website in a specific industry; query a database for the most frequently occurring website features; and automatically generate the website according to the most frequently occurring website features.

Abstract: Systems and methods of the present invention provide for one or more server computers communicatively coupled to a network and configured to: store data records associated with an industry, with tags defining the text content of a website; aggregate industry related data records via data entry or extraction; receive a request to automatically generate a website in a specific industry; query a database for the most frequently occurring text strings; and automatically generate the website according to the most frequently occurring text strings, wherein a first text sting is concatenated to a second text sting according to a relevance between them.

Abstract: A method to provide health-related data analytics services via a web service may include crawling, via a web crawler, the Internet to identify multiple websites with content related to human health. The method may also include obtaining, using text classification, multiple words associated with an occurrence in lives of people and multiple words associated with a health outcome in the lives of the people, performing text recognition to determine a frequency at which the words associated with the occurrence appear simultaneously with the words associated with a health outcome in the content of each of the websites identified by crawling the Internet, and confirming a proposed correlation between the occurrence and the health outcome in response to the frequency meeting a threshold.

Abstract: A subset of items that can be identified, promoted, or recommended to the user is determined based in part on rankings or other feedback that the user has given to other items in the set. The techniques discussed herein employ localized regularization to generate estimated values for the unknown values. Regularization refers to adding information into the system in order to generate the unknown values. This additional information of the system is an estimate, and is generated based on the known properties of the system. The techniques discussed herein employ localized regularization, which refers to estimating additional information based on the particular user for which the unknown values are being generated. In contrast to employing global regularization that treats all users in the system the same, the localized regularization discussed herein treats each user independently of the other users.

Abstract: System and techniques for search result refinement are described herein. Search results and a search context may be obtained, A context dependent facet set may be added to a search result in the search results. A user interface of the context dependent facet set may be presented in conjunction with displaying the search results. A selection of a facet in the context dependent facet set may be received from a user. The search results being displayed may be filtered such that search results that meet a measurement of the facet are included in the displayed search results and the remaining search results are excluded from the display.

Abstract: Offline social recommendation systems, interactions, interfaces, and methods are disclosed for utilizing user interests and characteristics in the generation and selection of recommendations for offline social networking. An interpersonal network manager maintains data on user characteristics and interests, and updates this data based on direct feedback and inferences drawn from various kinds of user-associated information. The interpersonal network manager generates characteristics or other matching scores associated with a set of interpersonal interactions, such as offline networking activities, and selects interpersonal interactions to recommend to a user based on relationships between the matching scores associated with each interpersonal interaction and any characteristics and interests associated with the user.

Abstract: Offline activity management systems, interactions, interfaces, and methods are disclosed for generating sets of offline social activities that may form the basis of social recommendations for users. An interpersonal network manager selects venues based on requirements such as a geographic area and generates potential offline social activities based on these venues. The interpersonal network manager tests the predicted fitness of the potential offline social activities against semi-random sets of users in the network, and selects potential offline social activities that are predicted to be the most enjoyable to the test users. The selected potential offline social activities are presented to users as offline social recommendations.

Abstract: A system for enhanced user matching utilizing multiple data sources, comprising a profile module that receives a plurality of user profile information and produces a plurality of profile data values based on the profile information, a scoring module that produces a plurality of scoring values based on associated profile data values, and a matching engine that produces a plurality of profile matches based on the plurality of profile data values, and a method for enhanced user matching.

Abstract: A method that is relatively inexpensive to implement and that permits a user to conduct searches of electronically stored documents using an entire document, multiple documents or portions of a document as the search criteria and to collect, store and to share the relevant documents from the search.

Abstract: The present invention provides a method and system for conducting a profile based search. The method and system includes receiving a search request including one or more search terms from a user, parsing the search request into categorical verticals, determining search refinement data relative to the categorical verticals, the search refinement data including at least one of: profile information, environmental data relative to the search request and historical behavior data relating to the search request or the user and accessing a database of aggregated search data based on the search refinement data. The method and system includes using the aggregated search data, determining a most relevant search query and a most relevant user profile, refining the search request based on the most relevant search query and most relevant user profile and generating an output display of a search result set based on the refined search request.

Abstract: The invention relates to systems and methods of providing in-view and out-of-view request-related result regions for respective result categories. The system may facilitate result presentation by providing, in response to a user request, at least one region that is designated to initially be in-view and at least one region that is designated to initially be out-of-view where: (i) the initial in-view region comprises one or more results related to the user request and a first category; and (ii) the initial out-of-view region comprises one or more results related to the user request and the second category. A result related to a category may comprise a result related to a specific topic, a result of a specific type, a result from a specific source, or other result. A user request may comprise a query, a command, or other user request.

Abstract: To provide a human relationships registering system, a method and a server for registering human relationships, a program for registering human relationships, and a medium storing human relationships registering program and readable by a computer, all of which are used to establish wide and close relationships with members having a variety of occupations or engaged in various technical fields and to obtain expert knowledge or information. The human relationships registering system comprises first data processing units 2 and 3 including sections for receiving personal data of a new member, and a second data processing unit including a section for storing the received personal data. The second data processing unit stores the personal data of the new member in correlation to an existing member when the existing member confirms the new member.

Abstract: A system and method for collecting consumer browsing on-line behavior and survey data comprising a browser toolbar application located within a consumer's computing device, and interactively graphically displayed on said computing device, for collecting and recording consumer browsing activity information and a communication service for transmitting said consumer browsing activity information to a server, wherein said server performs aggregation and analysis on said browsing activity information and a multi-platform communication application to render browsing activity information relevant content to consumers based on said toolbar application collected and recorded browsing activity and said performed aggregation and analysis.

Abstract: Systems and methods of the present invention provide for one or more server computers communicatively coupled to a network and configured to: perform an Internet crawl; tokenize an HTML string content of a crawled web page to identify a text token; determine whether the text token matches a keyword within a dictionary of keywords stored in a database with an industry; if so, store a website content characteristic in the database; and automatically generate a website analogous to the website content characteristic.

Abstract: Systems and methods of the present invention provide for one or more server computers communicatively coupled to a network and configured to: store a plurality of website feature data records including a first record defining a first website feature and a second record defining a second website feature; compare the records to determine whether a tag or metadata element within the records is common to both; If so, insert an affinity data record into the database defining a combination of the two website feature data records; and in response to a request, automatically generate and publish a website comprising the combination of the website features.

Abstract: A method and system are provided for tuning parameters of a synthesis program for a design description. The method includes (a) ranking individual parameter impact by evaluating a design-cost function of each of the parameters. The method further includes (b) creating a set of possible parameter combinations that is ordered by an estimated-cost function. The method additionally includes (c) selecting, from the set of possible parameter combinations, top-k scenarios having best estimated costs to form a potential set, and running at least some of the top-k scenarios in parallel through the synthesis program. The method also includes (d) repeating steps (b)-(c) for one or more iterations until at least one of a maximum iteration limit is reached and an exit criterion is satisfied.

Abstract: A method for design verification includes receiving a definition of a design of an integrated circuit device and at least one assertion of a property that is to be verified over the design. The definition is compiled into a graph of processing elements, including first processing elements that simulate operation of the device and at least one second processing element representing the at least one assertion. The at least one second processing element includes a hierarchical arrangement of at least one operator node and one or more leaf nodes corresponding to inputs of the at least one assertion. A simulation of the design is executed by triggering the processing elements in the graph in multiple, consecutive clock cycles and evaluating the property during execution of the simulation.

Abstract: Methods and apparatus pertaining to a testbed for lane boundary detection in a virtual driving environment are provided. A method may involve generating, by a processor, a virtual driving environment comprising one or more driving lanes, a virtual vehicle, and one or more virtual sensors mounted on the virtual vehicle configured to generate simulated data as the virtual vehicle traverses within the virtual environment. The method may also involve executing an algorithm to process the simulated data to detect the one or more driving lanes. The method may further involve recording an output of the algorithm. The method may additionally involve annotating the simulated data with the output of the algorithm.

Abstract: Various aspects of the disclosed technology relate to techniques of retargeting layout features. A process window simulation on a layout design is performed to generate process window information that comprises predicted print positions of layout features computed under various process conditions. Retargeted print positions for a plurality of edge fragments in the layout design are then determined based on minimizing a combined change of targeted print positions for the plurality of edge fragments under constraints represented based on the process window information and specification limits for printed layout features. Based on the retargeted print positions, positions of the plurality of edge fragments are adjusted for optical proximity correction.

Abstract: A semiconductor process simulation method includes classifying a semiconductor process simulation into a plurality of blocks based on an annealing simulation, performing a shape simulation corresponding to a block selected from the plurality of blocks, and performing at least two ion implantation simulations among a plurality of ion implantation simulations corresponding to the selected block in parallel, based on result data of the shape simulation corresponding to the selected block.

Abstract: Embodiments of the inventive apparatus, including the associated data collection and processing methods, may be used to measure and evaluate various characteristics of a fabric or other material. Those characteristics may then be used directly or indirectly (such as after being subjected to further data processing, signal processing, machine learning, statistical analysis, etc.) to populate one or more parameters of a mathematical model of the fabric/material or a garment constructed from the same. Data obtained from operation of the inventive material scanner may be used to construct or refine mathematical models (such as by using data mining, curve fitting, or machine learning techniques) and/or provide values of one or more parameters used by existing models.

Abstract: A computer-implemented method for acoustic beam tracing in a three dimensional space, wherein a set of beams is a representation of a physical wave phenomenon. The method comprises receiving information regarding a beam and objects potentially intersecting the beam; executing beam-triangle intersection tests; dividing the beam into partial beams; executing beam-triangle intersection tests, with respect to the partial beams; dividing the partial beams into smaller partial beams; approximating the smaller partial beams with rays; creating delimited smaller partial beams; and applying merging of the delimited smaller partial beams.

Abstract: A method for evaluating a plurality of data aggregations is provided. A data aggregation comprising a plurality of data points. The method comprises calculating a mathematical operator for one of the plurality of data aggregations based on a metric for the data points of the one data aggregation. The operator defines a transformation that preserves the metric. Further, the method comprises calculating eigenvectors of the mathematical operator, and projecting the remaining data aggregations of the plurality of data aggregations into a space spanned by the eigenvectors.

Abstract: A computer-implemented method for simulating fluid flow using a lattice Boltzmann (LB) approach that includes assigning values for the wall shear stress on a per-facet (e.g., per-surfel) basis based on whether the fluid flow is laminar or turbulent is described herein.

Abstract: The present disclosure discloses a method and a device for elastic object deformation modeling.

Abstract: A computer-implemented method for configuring a hardware verification system is presented. The method includes receiving, in the computer, a first data representative of a first design including a first sequential element configured to be evaluated in accordance with a first signal, when the computer is invoked to configure the verification system. The method further includes transforming, using the computer, the first data into a second data representative of a second design. The second data includes a third data associated with a second sequential element including functionality of the first sequential element and a fourth data associated with a first logic circuit.

Abstract: A behavior prediction device includes an acquisition interface for acquiring a power consumption value by an electric load for each of branch circuits divided inside a distribution board in an object space (a dwelling), and a predictor for working out a stop time based on power information in which the power consumption value is related with date and time at which the power consumption value is acquired. The stop time is a time at which the power consumption value will fall to a predetermined reference value. Based on the stop time, the predictor predicts a kind of specified behavior of a user in the object space and a time at which the behavior will occur.

Abstract: Embodiments perform static timing analysis using a digital representation of a circuit. The digital representation of the circuit includes multiple instances of a cell in a hierarchical cell block circuit. Timing context information is determined for each instance of the cell included in the circuit. A merged timing context information is determined to bound and cover each of the plurality of instances of the cell. A slack estimate is determined for a pair of ports for each instance of the cell. The instance with the smallest slack estimate is identified. A slack estimate for a pair of ports of the cell is determined based on the merged timing information of the cell. A timing credit is determined for the pair of ports based on the slack of the instance with the smallest slack and the slack estimate from the bound information for the pair of ports.

Abstract: The present disclosure relates to a system and method for constraint validation in an electronic design. The method may include receiving an electronic design at an electronic design automation application and analyzing at least a portion of the electronic design at a constraint validation tool configured to analyze one or more physical constraints in a design layout associated with the electronic design. The method may further include applying one or more programmable electrical rule check (“PERC”) rules and one or more constraints to the electronic design, wherein the one or more PERC rules are configured to perform one or more electrical rule checks.

Abstract: Techniques for providing improved semiconductor yield learning are discussed herein. Some embodiments may include a yield learning vehicle (YLV), including a communication fabric and a plurality of circuit blocks connected with the communication fabric. The plurality of circuit blocks may include circuit blocks having different design window sizes, and may be configured to support different phases of a yield learning ramp up process. The YLV may further include a yield learning controller configured to control circuit block testing, and bypasses configured to partially or fully replicate the behavior of improperly functioning or untested circuit blocks. Some embodiments may include techniques for software implementation of the YLV, such as by invoking a computer to receive data representative of a design of the YLV, and based on the data representative of the design of the integrated circuit, causing the computer to generate data representative of YLV.

Abstract: The present invention relates to methods of determining, identifying, detecting and annotating nucleic acid sequences suspected in a sample. Particularly, the methods of the invention permit annotating nucleic acid variants present in a sample. The methods are based on data obtained in high-throughput sequencing of nucleic acids obtained from a sample. The invention relates also to computer programs capable of executing the inventive methods and apparatus suitable of running respective computer software.

Abstract: A data harmonization system including a data harmonization server; and one or more client devices configured to communicate with the data harmonization server. The one or more client devices may have a processor configured to transform, using a template, medical data having a first format to transformed medical data having a second format, determine whether the transformed medical data is harmonized medical data or un-harmonized medical data based on the transformed medical data and a medical imaging standard, and send the transformed medical data to a data harmonization server, if the processor determines that the medical data is un-harmonized medical data. The medical data may have a vendor specific dialect of the medical imaging standard and the harmonized medical data may have a generic version of the medical imaging standard.

Abstract: Occasionally relevant findings and important recommendations made within medical or radiology reports fail to elicit the appropriate follow-up due to multiple factors. The clinician may miss the recommendation or lose track of it while addressing a more acute illness, the recommendation may have not been conveyed to the patient, or the patient may fail to schedule or show-up for the subsequent exam. Prior literature indicates that a significant percentage of scheduled appointments result in no-shows or cancellations by patients, and a small but significant percentage of indicated follow-up studies are thus not obtained. Such omissions occasionally result in adverse consequences suffered by the patients, and increase the risk of legal liabilities to the clinicians or radiologists.

Abstract: Various embodiments provide a method and an apparatus configured to include a communication interface, a sensor, a memory for storing health information on a user of the electronic device, and a processor, wherein the processor may be configured to obtain biometric information on a user corresponding to the electronic device using an external device functionally connected to a sensor or the electronic device, determine whether the user is in an emergency situation at least on the basis of the biometric information, and differently provide health information corresponding to the user depending on situations of the electronic device when the user is in the emergency situation. Further, other embodiments are also possible.

Abstract: A computer system may iteratively modify a local medical rule that is based on an initial sub-population. In particular, after information specifying the local medical rule and sharing instructions are received from a user of the computer system, the computer system may iteratively apply the local medical rule to one or more additional sub-populations that are associated with other users of the computer system based on the sharing instructions without sharing PHI associated with the initial sub-population. Then, the computer system may aggregate results for the one or more additional sub-populations, and may generate the population-based medical rule by modifying the local medical rule based on the aggregated results and one or more quality metrics. Moreover, the computer system may selectively provide the population-based medical rule to the user without sharing PHI associated with the one or more additional sub-populations.

Abstract: A method and system in a computing environment for inferring genetic findings for a patient is provided. The method includes receiving a request for genetic findings for a person from another application or a user. The method further includes inquiring as to whether the person has the genetic findings. If not, the method automatically provides inferred genetic findings for the person. The inferred genetic findings are calculated using genetic findings for family members of the patient, linkage analysis, haplotype analysis, semantic test results for the person and/or population genetics information.

Abstract: A method of identifying information in electronic medical records includes receiving one or more electronic medical records extracted from at least one source. Each of the one or more electronic medical records has medical information of at least one medical patient. The method also includes analyzing, via a processor, the medical information by comparing different portions of data in the medical information. The method further includes identifying, via the processor, at least one of: (i) the different portions of data in the medical information as inconsistent data; and (ii) the different portions of the data in the medical information as duplicate data.