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AIPD_evo_claim_one

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8589846

13629400

1. A method for determining a transition-effect delay model for a timing arc of a library cell, the method comprising: receiving a discretized delay model for the timing arc of the library cell, wherein the discretized delay model is capable of being represented by a set of points in a multi-dimensional space, the multi-dimensional space including an output loading dimension, an input transition dimension, an output delay dimension, and an output transition dimension; and determining, by computer, a set of transition-effect coefficients for the timing arc of the library cell based on the discretized delay model, wherein each transition-effect coefficient represents a linear relationship between a change in output delay and a change in input transition for a corresponding output load value from a set of output load values, wherein the set of transition-effect coefficients are used to compute transition-induced penalties, and wherein a transition-induced penalty is a delay penalty that estimates an impact that a change in a transition has on delays of downstream gates.

20160145991

14891315

1. A computer-implemented method for modifying a drill path of a well, the method comprising: creating a computer model of a formation, the model comprising a plurality of cells; assigning geological property values to the plurality of cells of the model; determining a probability of success for individual cells based on the geological property values; determining a drill path to a target zone within the formation using the probability of success for each cell; receiving real-time data during drilling of the drill path of the well; updating the geological property values in an encountered cell based on the real-time data; updating the probability of success for other cells based on the real-time data of the encountered cell; determining whether to make a change in direction of the drill path based on the updated probability of success for the other cells; and repeating the receiving of real-time data during drilling of the drill path, updating of the geological property values, updating of the probability of success, and determining whether to make the change in direction of the drill path until the drill path is completed.

7996214

11933739

1. A method for exploiting information in an utterance for dialog act tagging, the method comprising: receiving a user utterance; computing via a processor at periodic intervals at least one parameter in the user utterance; quantizing the at least one parameter at each periodic interval of the periodic intervals; approximating conditional probabilities using an n-gram over a sliding window over the periodic intervals; and tagging the utterance as a dialog act based on the approximated conditional probabilities.

9195794

13797722

1. A computer-implemented method comprising: accessing an initial posture of an articulated system at an initial time, the initial posture comprising angles for a plurality of degrees of freedom of the articulated system; accessing a vehicle occupant packaging design and a task to be accomplished by the articulated system within the design; accessing a set of constraints limiting how the degrees of freedom of the articulated system are manipulated to accomplish the task, wherein the constraints comprise a contact constraint preventing motion by the articulated system away from a component present in the design; and determining a plurality of postures for articulated system subsequent to the initial time during accomplishment of the task, wherein determining the postures comprises determining a manipulation over time of the degrees of freedom of the articulated system that accomplishes of the task while also obeying the set of constraints.

9619434

14612698

1. A method comprising: receiving a set of parameters for a given project; generating, using information from a knowledge database, a plurality of combinations of group members based at least in part on the set of parameters; evaluating a set of metrics for each of the combinations of group members, the set of metrics comprising at least one novelty metric and at least one collective intelligence metric; evaluating at least a subset of the combinations of group members to determine respective predicted success values; and selecting a given one of the combinations of group members for the given project based at least in part on the sets of metrics and predicted success values; wherein the method is performed by at least one processing device comprising a processor coupled to a memory.

7917547

12136616

1. A method, implemented within a computer system that includes one or more processors and memory storing instructions which, when executed by the one or more processors implement the method, for creating a data provider that virtualizes data access to an object so that a subset of a plurality of properties of the object are accessible without constructing the entire object, the method comprising: an act of a computer system that includes one or more processors receiving a data construction statement that describes at least a portion of a syntax tree of an object having a plurality of properties, wherein the value of at least one of the plurality of properties is determinable by execution of a query expression, and wherein the data construction statement includes: an indication of a type of object that the data construction statement represents a construction of; one or more property identifiers, wherein each property identifier identifies a property of the object; and one or more mappings, wherein each mapping maps a property identifier to a corresponding query expression, and wherein the corresponding query expression indicates how to compute a value for the property of the object identified by the corresponding property identifier; and an act of the computer system creating a data provider in response to receiving the data construction statement, wherein the data provider virtualizes data access to the object and facilitates lazy evaluation of queries on the object by creating a partial construction of the object based on the data construction statement, wherein the partial construction of the object provides access to values of one or more properties of the object by executing one or more query expressions corresponding to the one or more properties of the object without having to evaluate the entire data construction statement or fully construct the entire object, and wherein the data provider includes: a reference to the data construction statement, wherein the reference transitively includes references to the type, the property identifiers, and the corresponding mappings of the data construction statement.

8620621

13105329

1. A system for maintaining intelligent assets, comprising: a processor; and a memory connected to the processor, wherein the memory is encoded with instructions and wherein the instructions comprise: instructions for a work performance acquisition module to obtain work performance data comprising workload accomplished by the intelligent assets from a device operation production control system; instructions for a status monitoring module to obtain operation status data comprising power consumption of the intelligent assets; instructions for a loss calculation module to calculate a first ratio between the workload accomplished by the intelligent assets and the power consumption, and to calculate a loss degree of the intelligent assets according to said first ratio and a second ratio between a workload accomplished by the intelligent assets and the power consumption at an initial time, wherein an initial time comprises when the intelligent assets are just put into operation; and instructions for a maintenance determining module to determine whether the intelligent assets need maintenance according to the loss degree of the intelligent assets.

9336241

14025075

1. A method for image search comprising: (a) providing an initial large collection of images; (b) providing a first sub-set of images from said large collection; (c) creating a search algorithm; (d) receiving from a user an indication regarding level of relevancy of at least two features of at least one image from the sub-set of images, and a similarity level for each of the at least two features; (e) calculating updated values of control parameters of the search algorithm according to said indication, wherein the control parameters comprise a threshold to distinguish between suitable and non-suitable images and features of images and weights of descriptors; using the search algorithm for: (f) providing a next batch of images from said large collection which does not include images included in previous batches of images; and (g) providing a next sub-set of images by searching said next batch of images using said search algorithm, wherein the search algorithm is configured to distinguish between suitable and non-suitable images and features of images by implementing the updated control parameters; and (h) repeating items (d)-(g) until additional refining of the image search is not required by the user.

20120278273

13496773

1. A method for preparing an ontology for searching, the method comprising: compressing the ontology such that one individual in each set of semantically equivalent individuals remains in a compressed ontology; determining semantically restricted relations among individuals in the compressed ontology; determining semantically equivalent concepts in the compressed ontology; determining semantically restricted relations among concepts in the ontology; and constructing a semantically restricted relation graph based at least on the semantically restricted relations among individuals and the semantically restricted relations among concepts, wherein a query is answered using the semantically restricted relation graph.

8156522

12833954

1. A method of providing an interactive expert link within a linked information system configured to obtain a set of media content related to at least one tracked theme or topic within a field and to generate a set of links between media content from the set of media content as a function of a relevance to the at least one tracked theme or topic, the method comprising: A. identifying a new development within a topic from the at least one tracked theme or topic; B. obtaining a set of independent expert inputs related to the new development from a set of experts, wherein an expert meets a set of predefined expert criteria related to the field or topic; C. providing access to the set of independent expert inputs to the set of experts; D. enabling experts to provide expert commentary to one or more independent expert inputs from the set of independent expert inputs; E. providing access to the expert commentary to the set of experts; F. providing graphical mechanisms for presenting a bibliographic list of information pieces grouped by topic; and G. providing graphical mechanisms for presenting a book review type commentary for an information grouping.

20160224537

14663868

1. A method of machine-based extraction of information from a text document, the method comprising: (a) performing semantic/syntactic analysis for sentences of the document to build semantic-syntactic structures of the sentences; (b) applying production rules to the semantic-syntactic structures to generate a set of logical conclusions about objects of information comprised in the document, wherein the production rules are based on linguistic characteristics and lexical-morphological properties of the semantic-syntactic structures and ontologies of subject matters of the sentences; and (c) using the set of logical conclusions about objects of information comprised in the document to build an ontology-based RDF graph.

20040019850

10202046

1. A method for automatic document component layout comprising the steps of: a. determining a set of variables that can be adjusted to achieve a satisfactory layout; b. expressing said satisfactory layout as a set of constraints on said determined set of variables wherein at least one of said set of constraints is expressed as being optimizable; and c. solving said constraints to find at least one layout which solves for the variables over the constraints.

20130317341

13897755

1. A method for processing MRT data of the human brain of a patient, wherein three-dimensional MRT data resolved in voxels of the patient's brain and the brains of a normative database of a plurality of neurologically healthy human individuals are available, comprising the steps of: segmenting the MRT data of the patient's brain for each voxel into portions of grey substance, white substance and liquor by means of a classification algorithm, transforming the data to be compared with corresponding data of the normative database into a standardized stereotactic space, resulting in one or more normalized tissue maps that contain the proportions determined by the classification algorithm, wherein the transformation occurs before, after or synchronous with segmentation, and subjecting the tissue map or tissue maps of the patient's brain to a voxel-wise statistical comparison with the correspondingly normalized and segmented data of the normative database, wherein the voxel-wise statistical comparison of the tissue map, or tissue maps, is a morphometric comparison, wherein those statistically significant voxels in the tissue map, or tissue maps, of the patient's brain are identified that belong to a region dominated by the white substance that contains more grey substance than should be expected from the normative database, or that belong to a region dominated by the grey substance that contains more white substance than would be expected from the normative database.

20160292256

14672304

1. A collaborative data intelligence system, the system comprising: a data store and a data warehouse (DWH), wherein the data store and the DWH are configured to communicate with a storage management system; an integration bus, wherein the integration bus comprises at least one data analysis module; and a decision process application, wherein the decision process application comprises a result after processing data associated with the data store and the DWH.

9600897

14525262

1. A system to perform hierarchical video segmentation, comprising: a processor coupled to a camera; wherein the processor executes: defining voxels over a spatio-temporal video; grouping into segments contiguous voxels that display similar characteristics including similar appearance or motion; determining a trajectory-based feature that complements color and optical flow cues, wherein trajectory cues are probabilistic histograms combinable in a graph-based framework; and applying a max-margin cue combination that learns a supervised distance metric for region dissimilarity that combines color, flow and trajectory features; generating a max-margin distance metric for video segmentation that combines a plurality of feature channels; determining feature representation φ(S) for a segment S as a stacked up histograms from all the individual cues; learning feature weighting as a linear combination w T |φ(S i )−φ(S j ), where an optimal weight w* is determined by solving an optimization problem of the form: ⁢ min w , ξ ij 1 2 ⁢ w T ⁢ w + λ N + ⁢ ∑ i , j ⁢ ⁢ ξ ij + + λ N - ⁢ ∑ i , j ⁢ ⁢ ξ ij - s. t. y ij ⁢ w T ⁢  ϕ ⁡ ( s i ) - ϕ ⁡ ( s j )  ≤ 2 ⁢ ⁢ y ij - 1 + ξ ij , ∀ i , j w ± 0 , ξ ij ≥ 0 , ⁢ where ξ ij denote slack variables and λ is a soft margin trade-off parameter, N + and N − are the number of pairs of segments that have the same or different ground truth label and ξ ij + , ξ ij − are slack variables with respective membership in those positive or negative sets.

8392254

12199583

1. A system, comprising: a data collector to obtain first neuro-response data from a first frequency band and second neuro-response data from a second frequency band of brain activity of a consumer exposed to one or more of an advertisement, entertainment or product, the first frequency band and the second frequency band occurring at a same period in time, and the one or more of the advertisement, entertainment or product having a plurality of components; and a data analyzer comprising a processor configured to: identify a first asymmetry based on the first neuro-response data and the second neuro-response data for a first component in the plurality of components, the first asymmetry identified by: comparing a first amplitude of the first frequency band and a second amplitude of the second frequency band to determine a first difference between the first amplitude of the first frequency band and the second amplitude of the second frequency band; and assigning a first value to the first asymmetry based on the first difference between the first amplitude of the first frequency band and the second amplitude of the second frequency band; identify a second asymmetry based on the first neuro-response data and the second neuro-response data for a second component in the plurality of components, the second asymmetry identified by: comparing a third amplitude of the first frequency band and a fourth amplitude of the second frequency band to determine a second difference between the third amplitude of the first frequency band and the fourth amplitude of the second frequency band; and assigning a second value to the second asymmetry based on the second difference between the third amplitude of the first frequency band and the fourth amplitude of the second frequency band; and assess a consumer experience for each of the first and second components of the one or more of the advertisement, entertainment or product based on the first value of the first asymmetry and the second value of the second asymmetry.

9833906

15062478

1. An array-based pick-and-place method performed with a robotic arm, the method comprising: step a: operating a robotic arm to perform origin calibration; step b: generating a coordinate position of a next pick-and-place point with a controller; step c: instructing the robotic arm, with the controller, to perform a pick-and-place process according to the coordinate position of the next pick-and-place point; step d: sensing an X-axis displacement and a Y-axis displacement of the robotic arm during the pick-and-place process and feeding back a sensing result to the controller, with an X-axis position sensor and a Y-axis position sensor; step e: calculating coordinate errors of the pick-and-place point of step b according to the X-axis displacement and the Y-axis displacement of the robotic arm based on the sensing result with the controller; and step f: calculating a position compensation value of the robotic arm according to the coordinate errors of step e with the controller, wherein step f is followed by step b, wherein the X-axis position sensor and the Y-axis sensor are jointly disposed in a compensator of the robotic arm, and wherein the compensator comprises: a first member; a second member connected to a bottom surface of the first member; an X-axis linear guideway disposed at the second member to enable the second member to move in an X-axis direction relative to the first member through the X-axis linear guideway; a Y-axis linear guideway disposed at the second member to enable the second member to move in a Y-axis direction relative to the first member through the Y-axis linear guideway; two opposite X-axis restoring resilient elements disposed between the first member and the second member and aligned in the X-axis direction to exert a restoring force on the second member; two opposite Y-axis restoring resilient elements disposed between the first member and the second member and aligned in the Y-axis direction to exert a restoring force on the second member; the X-axis position sensor disposed at an end of the X-axis linear guideway and adapted to sense a distance traveled by the X-axis linear guideway; and the Y-axis position sensor disposed at an end of the Y-axis linear guideway and adapted to sense a distance traveled by the Y-axis linear guideway.

20150277873

14603862

1. A method for recursive expression simplification, the method comprising: identifying, by one or more processors, a candidate loop, where the candidate loop includes at least one or more reduction variables and reduction operations; altering, by one or more processors, grouping of loop invariants and loop variants within the candidate loop; performing, by one or more processors, recursive expression simplification for an inner loop, wherein the inner loop is located within the candidate loop; determining, by one or more processors, if the inner loop is invariant with respect to an outer loop, wherein the outer loop is located within the candidate loop; and responsive to determining the inner loop is invariant with respect to the outer loop, performing, by one or more processors, invariant loop motion.

20070124332

11288799

1. A method of remotely detecting and controlling whether locomotive data indicative of at least one of integrated diagnostic data, telemetry data and recording systems data from a locomotive is valid locomotive data, the method comprising: a) remotely accessing locomotive data residing at the locomotive; b) reviewing a data parameter characteristic of the locomotive data; and c) comparing the data parameter to indicia signifying an expected data parameter characteristic.

5530744

08309361

1. A method of selecting a destination automatic call distributor from a plurality of automatic call distributors for a call routed over a telecommunications network, each automatic call distributor associated with a number of agents, said method comprising the telecommunications network implemented steps of: receiving said call at an arbitrary time; transmitting a signal according to information associated with said call to a customer routing point, said customer routing point receiving information related to automatic call distributor status from a data collection point, said data collection point receiving automatic call distributor information from each of said automatic call distributors, said customer routing point selecting said destination automatic call distributor from among said plurality of automatic call distributors based on the customer routing point generating a status prediction for at least one of the automatic call distributors, said status prediction dependent on the information related to automatic call distributor status and on the arbitrary time of the call; receiving a routing label signal indicating said selected destination automatic call distributor from said customer routing point; connecting said call to said selected destination automatic call distributor according to said routing label signal.

20040039564

10228122

1. A method of automatically producing bridging inferences that join two related input phrases, said method comprising: applying a lexicon and ontology data structure to a first input phrase to produce a first tagged input phrase; matching said first tagged input phrase to first rules; generating first inferred phrases from said first rules; matching said first inferred phrases to second rules; generating second inferred phrases from said second rules; applying said lexicon and ontology data structure to a second input phrase to produce a second tagged input phrase; selecting a first rule of said first rules and a second rule of said second rules that causes a second inferred phrase of said second inferred phrases to match said second tagged input phrase; and recording, as a bridging inference path, said first rule and said second rule.

20100299328

12682705

1. Prototype-updating apparatus comprising: prototype-issuing means adapted to supply prototype digital objects or prototype items of digital content, each of said prototypes having one or more quantifiable attributes; output means adapted to output prototypes supplied by the prototype-issuing means, for presentation to a user; user-input means adapted to receive input from a user and to discriminate prototype-update commands input by the user; tag input means adapted to register an association between respective prototypes and descriptive tags assigned to said prototypes; a tag model generator adapted to develop models of the relationships between the tags assigned to a prototype and prototype attributes, the tag model generator comprising analysis means adapted to analyse the values of attributes of a plurality of tagged prototypes and the tags assigned to said prototypes; a prototype-classifier adapted, for a specified tag, to quantify the descriptive power of said specified tag in respect of prototypes, said classifier being adapted to apply the tag model developed for the specified tag by the tag model generator; prototype-update-command processing means adapted to identify the prototype-to-be-updated and to identify, in a prototype-update-command received via the user input means, update data indicative of one or more conditions to be met by a set of one or more specified tags of the updated prototype; prototype-update means adapted to select an updated prototype from among candidate prototypes suppliable by the prototype-issuing means, the prototype-update means comprising: similarity-assessment means adapted to assess the degree of global similarity between the prototype-to-be-updated and respective candidate prototypes, and condition-checking means adapted to assess candidate prototypes to determine whether the tags of said candidate prototypes satisfy the conditions specified in the prototype-update command; wherein the prototype-update means is adapted to select as the updated prototype a prototype which the similarity-assessment means has assessed to be globally similar to the prototype-to-be-updated and which the condition-checking means has assessed as having tags that satisfy said conditions; wherein, in response to reception of a prototype-update command, the output means is adapted to output the candidate prototype selected by the prototype-update means.

20140013170

14011222

1. A method for scalable predictive failure analysis, the method comprising: a processor gathering values for one or more characteristics of a memory of a computer system; the processor selecting one or more memory-related parameters, each of the one or more memory-related parameters representing a different characteristic of the one or more characteristics of the memory; the processor calculating a scalable single bit error threshold value using the values for each of the one or more characteristics of the memory represented by the selected one or more memory-related parameters; and the processor setting the calculated scalable single bit error threshold value for the memory.

8874023

13476877

1. A system comprising: one or more processors; and memory storing computer executable instructions which when executed perform a method for developing learning activities for use in a learning program, the method comprising: displaying an adaptive path builder user interface for receiving user input to define an adaptive path of language learning activities, the adaptive path builder user interface including: an adaptive path editing window in which the adaptive path of language learning activities is defined, the adaptive path of language learning activities including a plurality of language learning activities that are interconnected by branches; a branching window which displays one or more branches of a selected language learning activity, each branch comprising at least two destination language learning activities to which branching from the selected language learning activity may occur and conditions defining to which of the at least two destination language learning activities branching will occur; displaying an activity builder user interface on a display device for receiving user input to define one or more of the language learning activities of the adaptive path of language learning activities, the activity builder user interface including: a work area in which components are added to a language learning activity of the adaptive path of language learning activities by dragging and dropping the components in the work area, a components list that lists components available to be dragged and dropped into the work area for inclusion in a language learning activity, a variables list that lists a language learning activity's components and properties of each component in the language learning activity, and a properties list that lists properties of a selected component in a language learning activity, wherein displaying the activity builder user interface includes displaying a first language learning activity of the adaptive path of language learning activities in the work area; receiving, at the activity builder user interface, user input that drags and drops a first set of components onto the work area; adding the first set of components to the first language learning activity being displayed in the work area, including displaying a representation of each component in the first set of components in the work area and the variables list, and displaying a representation of each property of each of the components in the first set of components in the variables list; receiving user input that selects the representation of a first component in the work area or the variables list and displaying the properties of the first component in the properties list; receiving user input that drags and drops the representation of a property of a second component displayed in the variables list onto the representation of a property of the first component displayed in the properties list; and automatically generating a relationship between the first and the second component by associating the property of the second component with the property of the first component.

20130344900

13532140

1. A method of estimating the location of a wireless terminal, the method comprising: receiving, at a location engine, a first signal value whose value is evidence of the location of the wireless terminal at time t(1); receiving, at the location engine, a second signal value whose value is evidence of the location of the wireless terminal at time t(1); receiving, at the location engine, a third signal value whose value is evidence of the location of the wireless terminal at time t(2); generating, at the location engine, a first hypothesis for the location for the wireless terminal at time t(1) based on the first signal value having first weight and the second signal value having second weight, wherein the first weight is greater than the second weight; generating, at the location engine, a second hypothesis for the location for the wireless terminal at time t(1) based on the first signal value having third weight and the second signal value having fourth weight, wherein the third weight is less than the fourth weight; generating, at the location engine, a first hypothesis for the location for the wireless terminal at time t(2) based on the third signal value; and generating, at the location engine, an estimate for the location of the wireless terminal at time t(2) based on: (i) the first hypothesis for the location for the wireless terminal at time t(1), (ii) the second hypothesis for the location for the wireless terminal at time t(1), and (iii) the first hypothesis for the location for the wireless terminal at time t(2); and transmitting, from the location engine, the estimate for the location of the wireless terminal at time t(2) for use by a location-based application; wherein the first weight, the second weight, the third weight, and the fourth weight are all real non-negative numbers.

9679092

14931650

1. A method of constraint handling for a circuit design, comprising: determining, using a processor, instances of parameterizable modules of a circuit design associated with constraints based upon a predefined hardware description language attribute within the instances; extracting, using the processor, parameter values from the instances of the parameterizable modules; and generating, using the processor, static constraint files for the instances of the parameterizable modules using the extracted parameter values.

20110247003

12751288

1. A method comprising: partitioning resources of a partitionable computer system into at least first and second partitions, in accordance with one of a first mode of operation of said partitionable computer system and a second mode of operation of said partitionable computer system, said first and second modes of operation being defined in accordance with historical observations of said partitionable computer system; running said partitionable computer system, in said one of said first and second modes, partitioned in accordance with said partitioning step; periodically determining whether said computer system should be switched from said one of said first and second modes to another of said first and second modes, said periodic determination being carried out based on predictions in accordance with said historical observations; and responsive to said periodic determination being affirmative, running said computer system, in said another of said first and second modes, partitioned in accordance with said another of said first and second modes.

7711630

11146167

1. A method for displaying market information of a tradeable object comprising: displaying, in a first screen region of a graphical user interface on a display of a computing device, a portion of a first value axis for a first tradeable object, the first value axis having a first plurality of locations, each of the first plurality of locations corresponding to a value for buy orders and sell orders for the first tradeable object; dynamically displaying an indicator relating to an inside market of the first tradeable object in one of the first plurality of locations in the first screen region, the indicator in the first screen region being displayed in relation to the portion of the first value axis and the inside market of the first tradeable object having a highest bid price for the first tradeable object and a lowest ask price for the first tradeable object; displaying, in a second screen region of the graphical user interface, a portion of a second value axis for a second tradeable object, the second value axis being non-collinear with the first value axis and having a second plurality of locations, each of the second plurality of locations being different than the first plurality of locations and corresponding to a value for buy orders and sell orders for the second tradeable object wherein the second screen region is displayed in relation to the first screen region; dynamically displaying an indicator relating to an inside market of the second tradeable object in one of the second plurality of locations in the second screen region, the indicator in the second screen region being displayed in relation to the portion of the second value axis, the inside market of the second tradeable object having a highest bid price for the second tradeable object and a lowest ask price for the second tradeable object and the second tradeable object being different than the first tradeable object; receiving a repositioning command via a user input device associated with the computing device; in response to the repositioning command, repositioning the first value axis, where the indicator relating to the inside market of the first tradeable object is displayed at a new location in the first screen region determined according to an algorithm for repositioning movement of the first axis; and in response to repositioning the first value axis, repositioning the second value axis, where the indicator relating to the inside market of the second tradeable object is displayed at a new location in the second screen region determined according to an algorithm for a repositioning relationship between the first value axis and the second value axis, the repositioning relationship defining changes in position of the second value axis relative to changes in position of the first value axis.

20180192604

15402392

1. A plant, a plant part, or a seed of soybean variety CL1361005, wherein a representative sample of seed of said soybean variety CL1361005 has been deposited under ATCC Accession Number PTA-123641.

7739218

11204726

1. A computer readable medium embodying instructions executable by a processor to perform a method for managing electronic information, the method comprising: storing electronic files embodying the electronic information in a shared information repository that is shared by a community of client access devices, wherein the electronic files are categorized according to an ontology, wherein the ontology comprises an ontological model that is incrementally built and adapted over time based on multi-user interactions with the electronic information of the system; and incrementally adapting the ontology over time based on categorization rules that are automatically learned from knowledge obtained as a result of the multi-user interactions, wherein the multi-user interactions include one of accepting an automatic categorization of the electronic information and specifying a category of the electronic information.

20070233300

11395054

1. A method for addressing process variability in a build-to-order, mass customization production environment comprising: receiving an order for a product, the product having a particular configuration defined by the order; initiating a production order specifically assigned to the order; fabricating the product based upon the production order; determining if an unrelated product order contains an identical product item configuration; automatically swapping identical product items contained on unrelated production orders to optimize overall production process objectives.

20080140346

11609392

1. A system for processing a stream of data events based on shifts, comprising: a real time statistical processing system for updating a statistical summary each time a new data event is obtained, wherein the statistical summary is calculated based on the new data event and a previously calculated statistical summary; an analysis system that analyzes the statistical summary after it is updated; and a shift system that maintains separate statistical summaries for each of a plurality of different shifts associated with the stream of data events.

20080091289

11666114

1. A scheduling system for planning and scheduling production in an industrial production system, which scheduled production is to be executed by the production system under control of a manufacturing execution system, wherein: said scheduling system is a multi-agent scheduling system; at least a part of a behavior of agents in said multi-agent system is customizable by means of visually defined scheduling rules; said scheduling system and manufacturing execution system share a definition and execution environment comprising: editor means for visually defining both said scheduling rules and control rules of the manufacturing execution system, and an execution engine for executing said scheduling rules and control rules and making scheduling decisions based on an execution of said scheduling rules and control rules.

20130024799

13632118

1. A thermostat for controlling the operation of a heating, ventilation, and air conditioning (HVAC) system, the thermostat comprising: a housing; a user-interface component coupled to the housing and including a mechanically movable input component and an electronic display, and being configured to receive an input from a user, the input being indicative of an adjustment of an HVAC-related setting, the input comprising a continuous mechanical movement of the mechanically movable input component according to which the HVAC-related setting is correspondingly adjusted; a processing component coupled to the user-interface component and configured to: compare on a real-time basis the HVAC-related setting that is being adjusted against a feedback criterion, the feedback criterion being designed to indicate a circumstance under which feedback is to be presented to the user, the circumstance being indicative of an achievement of an HVAC-related setting of a predetermined responsibility level with respect to an energy usage of the HVAC system controlled by the thermostat, determine, in real-time and based on the comparison, whether the feedback criterion is satisfied, and upon a determination that the feedback criterion is satisfied, cause visual feedback to be presented to the user in real-time, the real-time feedback comprising a visual icon having a visual appeal corresponding to a desirability of the satisfaction of the feedback criterion.

20110153628

12642860

1. A method, comprising: configuring a set of rules for processing by an enterprise data management module at an enterprise level in order to manage a plurality of disparate and disconnected records associated with an entity based on a scoring function, by executing a program instruction in a data-processing system; and matching said plurality of records with respect to a parent enterprise entity in order to efficiently manage and report said plurality of records at said enterprise level, by executing a program instruction in a data-processing system.

9165092

13563265

1. A method comprising: operating a processor and memory to execute a program of instructions for: generating, based on a three-dimensional wind vector, a three-dimensional wake model for a wind farm; calculating a wake overlap area based on the three-dimensional wake model; developing a positioning and dimensioning model for turbines of the wind farm based on the three-dimensional wake model and wake overlap area; providing a three-dimensional layout of wind turbines in the wind farm based on the positioning and dimensioning model; and outputting for display the three-dimensional layout of wind turbines in the wind farm according to positioning and dimensioning model.

20150254228

14505086

1. A non-transitory computer readable medium storing a program causing a computer to execute a process for classifying multilingual documents, the process comprising: extracting, concerning first document information including a plurality of supervised texts of a first language, a word sense associated with a word included in each of the plurality of supervised texts in the first document information from predetermined word-sense information; setting an extracted word sense to be a teacher signal for each of the plurality of supervised texts included in the first document information; creating a first topic model by executing supervised topic modeling on the first document information by using the set teacher signal for each of the plurality of supervised texts included in the first document information; estimating a topic of each of the plurality of supervised texts included in the first document information by using the created first topic model; generating a learning model by executing supervised machine learning by using, as a feature, the estimated topic of each of the plurality of supervised texts included in the first document information and by using, as a category, the teacher signal for each of the plurality of supervised texts in the first document information; extracting, concerning second document information including a plurality of supervised texts of a second language and concerning a field identical to a field of the first document information, a word sense associated with a word included in each of the plurality of supervised texts in the second document information from the predetermined word-sense information; setting an extracted word sense to be a teacher signal for each of the plurality of supervised texts included in the second document information; creating a second topic model by executing supervised topic modeling on the second document information by using the set teacher signal for each of the plurality of supervised texts included in the second document information; estimating a topic of each of the plurality of supervised texts included in the second document information by using the created second topic model; and estimating a category of each of the plurality of supervised texts included in the second document information by using, as a feature, the estimated topic of an associated supervised text and by using the generated learning model.

20060020629

11068482

1. A method, including: assembling components for a product design; representing the components as a data structure, wherein constraints between each component with respect to other ones of the components are represented in the data structure; associating a graphical form with each of the components; and indexing the product design, the components, the constraints, the data structure and the graphical forms in a data store.

20130337428

13526109

1. A learning organizer, comprising: a sheet folded substantially along a central line to form a first half and a second half, the sheet includes a front portion and a rear portion; a plurality of flaps located on the first half; a plurality of holes located along and proximate to the central line; a plurality of lines on the rear portion; and a plurality of fill-in-blanks pre-printed on the second half; whereby the learning organizer provides assistance to a learner to break down learning information into each of the plurality of flaps.

8566368

12893129

1. A process of extending garbage collection functionality in a computer system, the process comprising the steps of: designating a managed code class for specialized handling by a garbage collector core during garbage collection; obtaining a garbage collector extension handler which is configured to accept notification of internal garbage collection phases; registering the garbage collector extension handler to receive control from the garbage collector core when the garbage collector core encounters an object of the designated managed code class during garbage collection; and marking a class reference field as untraced, thereby instructing the garbage collector core to ignore the reference during garbage collection pointer tracing phases.

9763407

15053088

1. A plant, a plant part, or a seed of soybean variety AR1102956, wherein a representative sample of seed of said soybean variety AR1102956 has been deposited under ATCC Accession Number PTA-122794.

20070179924

11342755

1. A system that determines a solution based on received data, comprising: an intake component that receives an incomplete data set from one or more sources; at least one cluster that is created by mapping previously collected data into one or more data vectors, mapping the one or more data vectors into one or more semantic data vectors and clustering the one or more semantic data vectors into at least one group based at least in part upon one or more mutual correlations, wherein the each of the at least one cluster is associated with at least one solution; and a recommendation system that transforms the incomplete data set into a semantic data set via latent semantic indexing, classifies the semantic data set into one of the at least one cluster and the one or more solutions associated therewith are provided as a recommendation.

20040120564

10324495

1. A method for reconstructing desired image data from image data corresponding to a plurality of detector images, said method comprising: compressing said plurality of detector images; identifying a projection matrix which describes an ideal way in which an object under study is projected onto a detector; computing a modified projection matrix as a function of said projection matrix and a compression technique utilized in compressing said plurality of detected images; and reconstructing said desired image data using said compressed detector images and said modified projection matrix.

20110010361

12534913

1. A method of controlling the robustness level of a query optimizer to facilitate compliance with service level goals and performance predictability in a database system, comprising: receiving, by the database system, a query to be executed; receiving a service level goal associated with the query that specifies a desired processing performance characteristic to be achieved by execution of the query; assigning a confidence threshold parameter having a first value that specifies an optimizer confidence level that execution of a generated query plan for the query will incur a processing cost that will not exceed an estimated processing cost; generating a first query plan in accordance with the confidence threshold parameter; calculating an estimated processing cost of the first query plan that specifies an estimated processing performance characteristic for execution of the first query plan; and determining whether the estimated processing cost is less than or equal to the service level goal.

7671728

11446523

1. A method for facilitating monitoring multiple disparate sites, the method comprising: providing a set of rules describing at least one event of interest and comprising at least one site-specific component and at least one site-independent component; defining the at least one site-independent components; distributing the set of rules to the multiple disparate sites, thereby facilitating definition of the at least one site-specific components at the multiple disparate sites and monitoring in accordance with the rules at each site; receiving one or more alerts from the multiple disparate sites, the alerts indicating the occurrence of one or more of the events of interest at the respective sites; and aggregating the received alerts, thereby facilitating statistical analysis thereof, wherein the aggregation comprises determining an average number of alerts received from a subset of the multiple disparate sites during a pre-defined time period.

8892540

12429830

1. A sustainability search system, comprising: at least one processor coupled to memory retaining instructions for: a query component that searches at least one industrial automation controller for data elements, wherein the query component is configured to: receive a set of search criteria and a set of sustainability factors, wherein the set of search criteria comprises at least one of a process, a product made by the process, an article of manufacture of the process, or a plant element carrying out the process, and wherein the set of sustainability factors comprise measures of at least one of an environmental impact or a socio-environmental impact for the at least one of the process, the product made by the process, or the plant element carrying out the process, wherein the industrial automation controller is configured to control an input/output (I/O) module, a programmable controller, a communications module, a sensor, an output device, or a combination thereof, of the process; and identify one or more data elements based on the set of search criteria and the set of sustainability factors, wherein the data elements comprise data associated with the at least one of the process, the product made by the process, the article of manufacture of the process, or the plant element carrying out the process; and an evaluation component configured to analyze the data elements identified by the query component, wherein the evaluation component is configured to analyze the data elements by determining a sustainability score for each data element based at least in part on the set of sustainability factors associated with each data element.

7979441

12691616

1. A data structuring method comprising: wherein a data management system is organized into a plurality of physically-dispersed regions, wherein: each physically-dispersed region of the plurality of physically-dispersed regions comprises at least one cluster; a given cluster of the at least one cluster comprises at least one node and a shared storage, and the at least one node receives at least one data stream continuously and stores the at least one data stream in an object-oriented data store; for a defined object property, maintaining an index tree for use in determining where a given object in the data management system is located, the index tree comprising: a root; at least one level of joins; a plurality of leaves; and wherein: each leaf of the plurality of leaves is associated with a sorted structure; a join above at least one leaf aggregates leaves that are in a given cluster; a join on a next level up in the index tree aggregates the joins of multiple clusters that belong to a given region; and a join on a next level up in the index tree aggregates the joins of multiple regions that belong to a given universe at the root of the index tree; wherein the sorted structure comprises a property value and an object global unique identifier; associating a key and a key value with each sorted structure in each leaf and with each join in the index tree; responsive to a given occurrence: re-computing the key associated with the given sorted structure; and re-computing the key of at least one join in the index tree; wherein the key of the at least one join is at least one of a cluster membership key, a region membership key, or a universe membership key; and responsive to a search request for the given object: performing a membership test on at least one key in the index tree to identify which of the multiple clusters may have the given object; and using a sorted structure to locate the given object within a given cluster.

20160167669

14568656

1. A method, comprising: accessing, by a processor, an image of a road surface that is generated by a camera, wherein the image includes a pattern from a light source; determining, by the processor, a region of interest in the image, the region of interest including pixels from the image, wherein the region of interest is based on the pattern from the light source; determining, by the processor, a total area in the image, the total area including pixels from the image, wherein the total area includes at least part of the region of interest and an area adjacent the region of interest; extracting a feature vector based on characteristics of the region of interest and the total area; and determining a road condition by comparing the feature vector to a classifier.

20170330022

15667812

1. A method comprising: obtaining data indicating (i) a list of minutiae extracted from a fingerprint image, and (ii) for each minutia included in the list of minutiae, an octant feature vector that identifies one or more neighboring minutiae within the fingerprint image; for each minutia included in the list of minutiae: computing one or more parameters based on comparing features of a minutia and respective features of one or more neighboring minutiae for the minutia, and computing an aggregate minutia quality confidence score based on combining the one or more computed parameters; computing a fingerprint quality confidence score for the fingerprint image based at least on combining the aggregate minutia quality confidence scores; and providing the fingerprint quality confidence score for output.

20090063515

11850588

1. A computer-implemented method, comprising: receiving a linear processing graph, wherein the linear processing graph includes a plurality of operators, wherein each operator in the plurality is connected to at least one other operator by an arc, wherein hierarchical data flows on arcs, wherein the operators read and replace identified subregions within the hierarchical data flowing into the operators on the arcs, and wherein the operators do not modify the hierarchical data outside of these identified subregions; for each operator in the linear processing graph, finding a minimal set of dependent upstream operators on which that operator depends by examining how the identified subregions are created in the linear processing graph through obtaining a set of operators on which that operator depends, by analyzing dependencies carried by a set of vector nodes of the hierarchical data in an input schema of the operator, and, for each of the vector nodes, by analyzing an associated set of scalar nodes, wherein finding the minimum set of operators includes taking into consideration data preservation characteristics of the plurality of operators and taking into consideration structural-order preservation characteristics of the plurality of operators; and rewriting the linear processing graph to create a new graph that expresses dependencies based on the minimal set of dependent upstream operators for each operator.

9244729

13955152

1. A non-transitory computer-readable medium to store instructions, the instructions comprising: one or more instructions that, when executed by at least one processor, cause the at least one processor to: evaluate a characteristic of a function; dynamically determine, based on the evaluated characteristic of the function, a partitioning scheme for an input to the function; partition, based on dynamically determining the partitioning scheme for the input, an array into a plurality of parts; process the plurality of parts; and produce a result based on the processing.

20110196819

12701222

1. A method for approximation of optimal control for nonlinear discrete time systems comprising the steps of: obtaining state variables from a system model, iteratively generating control sequences to optimize desired control variables for subsequent training a recurrent neural network, the value of each said control variable being independent of the other control variables, mapping said control variables onto the recurrent neural network implemented by a processor.

20100077351

12565256

1. In a computing device comprising a graphical user interface having at least one user input device, a method for concept identification in software, the method comprising: displaying, via the graphical user interface, concept specification prompts; receiving, via the at least one user input device in response to the concept specification prompts, concept specification information corresponding to a concept; and identifying, by the computing device, occurrence of the concept in a code listing based on the concept specification information.

8311927

09845814

1. A system for anonymously matching consumption objects with a consumer consumption behaviour, said consumer being uniquely identified by a true, objective behaviour derived consumption profile, said system comprising: a central and private consumer repository containing a plurality of true objective, behaviour derived and feedback derived consumption profiles each true consumption profile corresponding to a consumer, each of said true consumption profile being anonymous; at least one central product repository, containing consumption object profiles for a plurality of consumption objects, each of said at least one central product repository being associated with a given industry, wherein industry participants register profiles of their products and services within said product repository, each said at least one central product repository containing only entry profiles of items registered; correlating means for correlating parameters of a potential target consumption object with parameters of a given consumer's true consumption profile, and identifying at least one best matched consumption object; means for confidentially presenting said consumer with the profile of each said at least one best-matched consumption object so that said industry participant cannot identify said consumer; each said at least one best-matched consumption object being presented to said consumer along with a probable satisfaction weighting obtained through said true consumption profile; and upon said user selecting one or more of said at least one best-matched consumption object, updating said true consumption profile with information relating to said selection.

8604976

13217506

1. In a beamforming apparatus for a phased array antenna, a method for beamforming in a phased array antenna having a total aperture, comprising: receiving a specified beam steering vector (BSV); determining a number of concentric sub-apertures based upon a beam spoiling vector associated with said BSV; dividing the total aperture into the determined number of concentric sub-apertures; computing a spoiled BSV for at least one of two orthogonal co-planar dimensions perpendicular to the direction of propagation of a transmit wavefront based on the BSV; applying the spoiled BSV in divergent directions for each sub-aperture by: for each element i in each of said sub-apertures, computing a beam steering phase coefficient, where said beam steering phase coefficient is determined by the equation Φ i = 2 ⁢ ⁢ π λ ⁢ ( x i ⁢ u spoil + y i ⁢ v spoil ) + 2 ⁢ ⁢ π λ ⁢ ( x i ⁢ U steer + y i ⁢ V steer ) wherein (x i , y i ) denote the location of element i and (u spoil , v spoil ) denote the spoiled BSV in sine space coordinates; and adjusting the phase of each element in said array by said respective beam steering phase coefficients to spoil the transmit beam; wherein said spoiling compensates for at least one of platform motion and local clutter.

7480828

10865206

1. A method for providing error data processing having user-defined parameters, comprising: applying user-defined error thresholds to a plurality of user-definable error threshold rules; processing error events of a same type, including detecting a plurality of errors from a source and calculating a time period between the plurality of errors; storing information related to the processed error events; determining when one of the plurality of user-definable error threshold rules has been satisfied based on the stored information, including determining that the detected plurality of errors satisfies a user-defined error dispersion index number, wherein the error dispersion index is the number of errors in half of the time period between errors of the same type; and reaching the user-defined error dispersion index number a user-defined number of times consecutively in the same time period between errors of the same type.

7853463

11107363

1. A system for project tracking of municipal capital projects comprising: a networked computer system; an input module receiving information; a Capital Projects Planning and Reporting Tool (“CPPRT”) having a practice module; a risk management module and; a financial management module; a Capital Asset Reporting Tool (“CART”) including a building inventory module storing and tracking space utilization data, building population data, building assessments, five year capital projects plan, and building floor plans; a Fixed Asset Planning Reporting Tool (“FAPRT”) including a fixed asset module tracking an inventory of all furniture, fixtures and equipment and replacement cost valuation of same; a Technology Asset Planning and Reporting Tool (“TAPRT”), including a planning and reporting module tracking an inventory of all data systems, computers, software licenses, hardware equipment, cabling and switching for LAN and replacement cost valuation of same; Security Asset, Planning, Reporting Tool (“SAPRT”), including a security asset module tracking an inventory of all security systems, hardware equipment, cabling and monitoring devices and replacement cost valuation of same; and a report generating module; wherein said modules are implemented by software on a networked computer system and wherein said modules are configured to define several stages for implementing each project including a definition stage; and wherein during the definition stage the modules are configured for updating the system with all project scope definitions, selected cost budgets, and the district's preliminary approval information; collecting preliminary budget and scope information from said input module; and forwarding the same to a core planning team including a fiscal advisor, bond counsel, architect, and construction manager who determine a budge and scope data for the project; authorizing the project to proceed subject to checks and controls as identified by an official approval checklist; forwarding the final version of the scope documentation for verification of compliance with all checklist requirements; and establishing a capital projects implementation schedule.

9183535

12512752

1. A computer-implemented method of generating a user's social network model, the method comprising: receiving a set of documents associated with a user; accessing the user's contact data, the contact data identifying a plurality of entities; analyzing the documents, using the contact data, to identify references to entities therein; identifying relationships among the referenced entities; determining a strength of a first relationship between a first entity and a second entity responsive to a volume of documents in which both the first entity and the second entity appear, wherein the first and second entities are a subset of the referenced entities; building a social network model for the user responsive to the identified relationships among the referenced entities and the strength of the first relationship; storing the social network model; receiving a new document associated with the user; identifying, in the new document, a reference to an ambiguous entity; performing name disambiguation using the social network model to determine which of at least two candidate entities from the social network model is an intended entity for the ambiguous entity; identifying other entities referenced by the new document; and updating the social network model by modifying relationship strengths in the social network model between the intended entity and the other entities referenced by the new document.

20120030157

13263280

1. A training data generation apparatus that generates training data used for creating characteristic expression extraction rules, comprising: a training data candidate clustering unit that clusters a plurality of training data candidates assigned labels indicating annotation classes based on feature values containing respective context information, and a training data generation unit that, by referring to each cluster obtained using the clustering results, obtains the distribution of the labels of the training data candidates within the cluster, identifies training data candidates that meet a preset condition based on the obtained distribution, and generates training data using the identified training data candidates.

9727447

14599299

1. A computer program product embodied on a non-transitory computer readable medium, comprising: computer code for receiving, from a user by a system, a plurality of actions to be performed as a main test flow in an exploratory test associated with at least one testing project, wherein at least one particular action of the plurality of the actions is received by: receiving from the user, through a user interface of the system, an indication of a type of action the user is about to perform, after receiving the indication from the user, generating, by the system, an automation script for the action as the user performs the action; for one or more of the plurality of actions, computer code for receiving, from the user by the system, a corresponding plurality of additional options each containing one or more additional actions, including for the at least one particular action: receiving from the user, through a user interface of the system, an indication of additional options the user could perform for the type of action but is not performing; computer code for automatically generating, by the system, a graph showing the main test flow as the plurality of actions, and, at each of the plurality of actions in the main test flow, showing each combination of the corresponding plurality of additional options as a separate branched test flow to the main test flow, wherein a portion of the branched test flows are invalid for the exploratory test; computer code for displaying, through the user interface of the system, the graph; computer code for receiving, from the user through the user interface of the system displaying the graph, an indication of one or more of the branched test flows shown on the graph that are valid and that are to be executed from the main test flow when performing the exploratory test; computer code for modifying, by the system, the graph to include only the main test flow and the indicated one or more branched test flows, such that the graph is a tree structure having only the main test flow and the one or more of the branched test flows that are valid for the exploratory test; computer code for automatically executing, by the system, the exploratory test associated with the at least one testing project in accordance with the modified graph; and computer code for reporting, by the system through the modified graph shown in the user interface of the system, a status of the automatic execution of the exploratory test associated with the at least one testing project, including: displaying, in the user interface of the system, the modified graph during execution of the exploratory test, and indicating in the displayed modified graph, throughout execution of the exploratory test, a current status of each of the plurality of actions in the main test flow and of each of the additional options in the branched test flows included in the modified graph.

20070240138

11733169

1. A computer readable medium including executable instructions to analyze program instructions for security vulnerabilities, comprising executable instructions to: convert diverse program instruction formats to a common format; derive a system model from said common format; perform a static analysis on said system model to identify security vulnerabilities; and report said security vulnerabilities.

20170192972

14984397

1. A computer-implemented method comprising: obtaining a matrix of words and locations; generating a locality-sensitive hash (LSH) function; identifying a row vector corresponding to a word in the matrix, the row vector comprising a plurality of location dimensions; generating a sparse row vector that corresponds to the row vector by performing location sampling relative to a geospatial distribution of the word, wherein performing location sampling comprises selecting a subset of dominant location dimensions from the plurality of location dimensions in the row vector to retain in the sparse row vector and discarding the remaining location dimensions, and wherein selecting a subset of dominant location dimensions comprises determining that the word corresponding to the row vector occurs more frequently in connection with the dominant location dimensions than the discarded remaining location dimensions; generating a sparse LSH function using the LSH function and the sparse row vector; generating a signature for the sparse row vector using the sparse LSH function; determining a clustering bucket to which the signature corresponds; adding the word to the clustering bucket, receiving input data; generating an input signature corresponding to the input data; determining that the input signature matches a signature associated with the clustering bucket; determining a geographical location from metadata associated with the clustering bucket; and geotagging the input data by associating the geographical location with the input data.

20120096417

12906785

1. A method to automatically synthesize a custom integrated circuit, comprising: a. receiving a specification of the custom integrated circuit including computer readable code and one or more constraints on the custom integrated circuit; b. encoding architecture level knowledge in a data model to generate and pass new constraints for physical synthesis of a chip specification uniquely customized to the computer readable code; c. receiving a look-ahead cost function during architecture optimization consistent with cost observed later in the flow after detailed physical synthesis is performed, wherein the look-ahead cost function is generated from a prior iteration and supplied to a subsequent iteration through the data model; d. automatically translating information available at one optimization point into a constraint for another optimization point invoked at a different place in the design flow using the data model; and e. synthesizing a computer readable description of the chip specification into the custom integrated circuit for semiconductor fabrication.

7681165

11467975

1. A method of performing placement of resources in a computer-aided design (CAD) tool, the method comprising: performing, using a computer, a first congestion analysis; proposing, using a computer, a placement move; evaluating, using a computer, the placement move; and using the computer to incrementally update information used for performing a second congestion analysis.

7761394

11457103

1. A computerized method of representing a dataset with a taxonomy, comprising: obtaining a dataset comprising a plurality of records, the dataset being characterized by a vocabulary and each record of the plurality of records being characterized by at least one term within the vocabulary, thereby providing an obtained dataset; preprocessing the obtained dataset, wherein the preprocessing step comprises the steps of mapping each record onto a system ontology and cleaning the obtained dataset: identifying a plurality of nearest neighbors for each term within the vocabulary; imputing a degree of membership for each nearest neighbor of the plurality of nearest neighbors identified for each term within the vocabulary, thereby providing an imputed degree of membership; augmenting the obtained dataset with the imputed degree of membership, thereby increasing a similarity between each record by reducing a sparsity of the obtained dataset while fixing a dimension of the vocabulary, and thereby providing an augmented dataset; and generating a taxonomy of the augmented dataset, thereby satisfying a user's similarity-biased intuition while taking into account a plurality of factors, the plurality of factors comprising a similarity between each record and a dissimilarity between each record, wherein the computerized method of representing a dataset with a taxonomy occurs within a physical computer.

20100174994

12726319

1. A system for processing medical image files comprising: an unscreened files data structure configured to access unscreened medical image files created by at least one imaging modality; a distribution module comprising a selection processor, a workflow queue generation processor, and a transmission processor; at least one workstation comprising a receiving processor, a user display, and a user input; a system monitoring module configured to monitor and evaluate a user's interpretive output information of the unscreened files; a diagnostic output module; a distribution override processor in communication with the system monitoring module and the selection processor, wherein the distribution override processor is configured to adjust the number of unscreened medical image files presented to the user based on the monitoring and evaluation of the system monitoring module; and a feedback module configured to send and receive real-time electronic communication regarding a user's interpretation of the unscreened files.

20100238170

12682791

1. A method of visualizing temporal data, the method comprising: providing ( 70 ) a set of temporal data; detecting ( 71 ) the number of distinct regions ( 40 , 41 ) in the temporal data based on the temporal behavior of the data; identifying ( 72 ) and assigning a color scheme to each region; and visualizing ( 73 ) each region in accordance with the assigned color scheme.

20040218173

10853497

1. A method of controlling the concentration of a component in a composition, comprising: providing a composition comprising a liquid portion, wherein the liquid portion comprises a component to be monitored; performing an absorption spectroscopy measurement on a sample of the composition; and controlling the concentration of the component in the composition based on the absorption spectroscopy measurement using a feedback control loop.

20090307149

12476564

1. A method, comprising: defining a portfolio optimization model, the model including at least one model parameter; determining original inputs for the model; performing an optimization procedure on each of the at least one model parameter to compute an original efficient frontier; selecting one or more portfolios from the original efficient frontier for calibration; generating a plurality of random samples of optimization inputs based on the original inputs; computing a current efficient frontier using the portfolio optimization model with the optimization inputs, thereby generating a plurality of optimal portfolio sets; calibrating each of the one or more selected portfolios of the original efficient frontier to create a corresponding calibration portfolio for each selected portfolio, wherein the calibrating includes projecting the selected portfolios onto the current efficient frontier; averaging each of the calibration portfolios for each of the selected portfolios of the original efficient frontier; and creating a calibrated efficient frontier report.

20050187747

10783624

1. A system for improved simulation of a biological system comprising a plurality of chemical reactions, the system comprising: a modeling component for constructing a model of a biological system including a first chemical reaction and a second chemical reaction; and a simulation engine accepting as input said constructed model of the biological system and generating as output dynamic behavior of the biological system using a first type of computational model for the first chemical reaction and a second type of computational model for the second chemical reaction.

20110082680

12574440

1. A method for simulating an integrated circuit (IC) design in a circuit design simulator, the method comprising: receiving data representing a circuit design, said data configured for input to and processing by said circuit design simulator; when simulating said circuit design, accessing an IDDQ prediction macro to establish a leakage current prediction for said circuit design, said leakage current prediction determinable at a single device, cell, circuit, or IC chip level of said design, said IDDQ prediction macro modeling statistical information to calculate one or more uplift factors used in said leakage current prediction at said single device, cell, circuit, or IC chip level of design, wherein a processor device performs at least one of said receiving, accessing, modeling and uplift factor calculating.

8935277

13434899

1. A computer implemented method to generate an answer to a business intelligence (BI) request for information, the method comprising: receiving the BI request for information expressed in natural language, the BI request is sent by an agent; upon receiving the BI request, loading into a memory a situation graph of the agent, the situation graph representing information contextual to the agent; parsing the BI request; based on the parsed BI request, generating a graph representing syntactic structure of the received BI request; enriching the graph based on the parsed BI request with: at least one semantic annotation representing at least one business object identified in the BI request, the business object included in a data model that at least in part forms a semantic layer of a plurality of data sources, the data model determines a structure of at least one data source from the plurality of data sources, and at least one semantic annotation representing contextual information derived from the situation graph of the agent; matching the parsed BI request to a pattern from a plurality of patterns of features included in the BI request, wherein features of the pattern include reference to the at least one business object identified in the BI request; processing by the computer a technical query associated with the pattern from the plurality of patterns to retrieve data relevant to the BI request at least from the at least one data source generating the answer to the BI request based on the retrieved data relevant to the BI request and based at least in part on the situation graph of the agent, wherein the answer generated by triggering at least one operator of a situational recommender system; and recommending the generated answer.

20170265417

15074170

1. A plant, a plant part, or a seed of soybean variety BY1210813, wherein a representative sample of seed of said soybean variety BY1210813 has been deposited under ATCC Accession Number PTA-122906.

5577262

08522163

1. An interconnection system for a plurality of processing elements (PEs) each having a plurality of I/O ports for transmitting and receiving data and instructions, the interconnection system comprising: coupling means for interconnecting the plurality of PEs, the 6 coupling means including all of the inter-PE couplings present in a square torus configuration having an equal number of PEs as in said plurality of PEs, the coupling means implementing half the number of inter-PE couplings required in the torus configuration by sharing each non-diagonal PE's (PE.sub.ij) I/O ports with its associated symmetrical PE (PE.sub.ji), thereby forming a symmetric PE including PE.sub.ij and PE.sub.ji, where i and j are column and row designators, respectively, of corresponding PEs in the torus configuration, and where i and j are non-equal non-zero positive integers, and wherein the coupling means further includes means for transmitting and receiving data and instructions in one of four selectable modes: a) transmit east/receive west mode for transmitting data to an east PE over a portion of the I/O ports while receiving data from a west PE over a remaining portion of the I/O ports; b) transmit north/receive south mode for transmitting data to a north PE over a portion of the I/O ports while receiving data from a south PE over a remaining portion of the I/O ports; c) transmit south/receive north mode for transmitting data to the south PE over a portion of the I/O ports while receiving data from the north PE over a remaining portion of the I/O ports; and d) transmit west/receive east mode for transmitting data to the west PE over a portion of the I/O ports while receiving data from the east PE over a remaining portion of the I/O ports.

7797614

11582260

1. A multi-error correcting binary differential demodulator, comprising: a differential detectors module having a plurality of differential detectors and receiving a modulated input signal at each of (k+1) differential detectors, k being an integer greater than zero, each differential detector producing an output; an error signal generator module deriving, from the differential detector outputs and from feedback of corrected signals, undelayed syndromes orthogonal to an erroneous bit to be corrected, and generating a number of error signals from the syndromes; and an error detection-and-correction module using threshold values for generating correction factors from the algebraic sum of the error signals and combining the correction factors with the erroneous bits to produce the corrected signals.

20110132663

12633061

1. A method of steering a drilling operation of a well using rock stress measurements, comprising: obtaining well data from at least one logging while drilling tool in the well, wherein the well data comprises stress direction information; generating, using a central processing unit (CPU), a well trajectory using survey data from the well, wherein the well trajectory comprises a borehole direction; determining, using the CPU, a direction of minimum horizontal stress using the well data; comparing, using the CPU, the direction of minimum horizontal stress to the borehole direction to determine that a directional criteria is not satisfied; in response to determining that the directional criteria is not satisfied, generating an updated well trajectory that satisfies the directional criteria; and adjusting the drilling operation using the updated well trajectory.

20090144126

11950161

1. A computer-implemented method for forecasting demand for order configurations, comprising: expressing attach rates associated with n options as a set of n positive numbers whose sum is one, an attach rate representing a proportion of a product for which an option is requested; transforming said attach rates as a random vector in n−1 dimensional Euclidean space; modeling a distribution of the transformed attach rates; estimating a location vector of the distribution by computing point forecasts of the transformed attach rates; estimating a dispersion matrix of the distribution, the dispersion matrix describing variability of forecast errors of the transformed attach rates; and transforming said location vector and said dispersion matrix to forecast attach rates.

7618778

11143209

1. A method of forming a population of nucleic acid sequence tags, comprising: covalently coupling the first target nucleic acid to a first end of a first nucleic acid bridge and covalently coupling the second target nucleic acid to a second end of the first nucleic acid bridge to form a linear chimeric nucleic acid intermediate, wherein the first nucleic acid bridge is disposed between the first target nucleic acid and the second target nucleic acid, wherein the first nucleic acid bridge comprises a cleavage site for a cleaving agent and two restriction endonuclease recognition sequences for endonucleases that cleave at a sequence outside the opposite ends of the nucleic acid bridge; cleaving the first nucleic acid bridge with the cleaving agent and covalently coupling a second nucleic acid bridge to the cleaved ends of the first nucleic acid bridge to form a modified linear chimeric nucleic acid intermediate comprising the second nucleic acid bridge disposed between a portion of the first nucleic acid bridge and the first target nucleic acid and a portion of the first nucleic acid bridge and second target nucleic acid; producing from the modified linear chimeric nucleic acid intermediate a first sequence tag and a second sequence tag, wherein the first sequence tag comprises at least a portion of the first target nucleic acid and at least a portion of the first nucleic acid bridge, and wherein the second sequence tag comprises at least a portion of the second target nucleic acid and at least a portion of the first nucleic acid bridge, wherein the at least a first portion of the first target nucleic acid comprises a first addressable portion and wherein the at least a first portion of the second target nucleic acid comprises a second addressable portion, and wherein the first sequence tag and the second sequence tag are suitable for simultaneous detection without requiring pooling, sorting, or adapter mediated indexing.

9418336

13958176

1. A method executed on a computing device for automatic recognition and insight derivation on data, the method comprising: receiving underlying data; inferring user data sets within the underlying data; analyzing the user data sets; determining one or more insights on the user data sets based on analysis results, the one or more insights including one or more of a trend, a correlation, an outlier, a pattern, and a comparison for each data set or combinations of data sets; presenting a visualization of one or more user data sets highlighting an insight associated with each data set from the one or more insights, an emphasis on presented raw underlying data, and a data formatting suggestion, wherein the visualization is a chart highlighting the insight, the emphasis on the presented raw underlying data is one of a shading and a highlighting of a portion of the raw underlying data, and the data formatting suggestion is one or more suggested presentations of the underlying data; and presenting the one or more insights.

20170278506

15077163

1. A method of regulating speech output by a text-to-speech (TTS) system, comprising the steps of: (a) evaluating speech that has been converted from text using an initial speech quality test before presentation to a user; (b) applying a classification test to the evaluated speech if the evaluated speech falls below a threshold based on the initial speech quality test; (c) generating an abnormal speech classification for the evaluated speech; and (d) applying a corrective action to the evaluated speech based on the abnormal speech classification in step (c).

20060129323

10526335

1. A method of comparing molecules, comprising: providing a set of field points representing field extrema of a first molecule, wherein each field point has a position and a field size value; determining at the position of each of the field points of the first molecule the field of a second molecule to-obtain a set of field sample values; and combining the field sample values with the field size values to obtain a score indicative of the field similarity of the first molecule to the second molecule.

20030115016

10204900

1. Method for the determination of at least one partial model of a model of a system, a state of the system being described by state quantities, in which plural sets of values of the state quantities are determined, in which a probability distribution for the state quantities is determined from the sets, in which the partial model of the system is determined using the sets and the probability distribution for the state quantities and using a statistical learning method, the partial model describing the system under the precondition of the probability distribution for the state quantities, wherein at least one of the state quantities is a discrete state quantity.

8986186

13212164

1. A method of forming a treatment plan for treating a patient with radiation therapy, the method comprising: receiving information corresponding to a tumor position in the patient determined using an imaging device; selecting a plurality of beam angles for a respective plurality of beams based on the tumor position; receiving information corresponding to a plurality of constrained and unconstrained objective function parameters related to at least one of a minimum and maximum radiation dosage to a specific region of interest; selecting an intensity for each beam based, in part, on the objective function parameters; selecting new unconstrained objective function parameters based, in part, on previous unconstrained objective function parameters; and selecting new beam intensities based, in part, on the new unconstrained objective function parameters, wherein selecting new unconstrained objective function parameters comprises: calculating a value of a sub-objective function; comparing the value of the sub-objective function to a user-defined maximum sub-objective function value; and adjusting a value of an objective function parameter if the value of the sub-objective function is less than the user-defined maximum sub-objective function value.

20150018664

14330814

1. A computer-implemented method for assessing a traumatic brain injury (TBI) in a patient, the method comprising: obtaining diffusion magnetic resonance imaging (dMRI) data from the patient; obtaining resting-state functional magnetic resonance imaging (rs-fMRI) data from the patient; extracting connectivity features between different regions of a brain of the patient, the connectivity features extracted from the rs-fMRI data obtained from the patient and/or from the diffusion magnetic resonance imaging (dMRI) data obtained from the patient; extracting network features from the connectivity features; and determining a TBI diagnosis for the patient based on at least the network features and the connectivity features using a trained classifier.

20140343921

13898060

1. A method for analyzing documents corresponding to demographics, the method comprising: a computer determining whether a first text analysis algorithm corresponds to a demographic of a document, wherein Natural Language Processing (NLP) utilizes text analysis algorithms to produce an analysis of the document and provide annotations; and responsive to determining that the first text analysis algorithm does correspond to the demographic of the document, the computer analyzing the document utilizing the determined corresponding first text analysis algorithm.

9400960

13229057

1. A method of performing a verification of satisfaction of requirements of a prognostic algorithm requirements statement to monitor management of component part replacement for a device, the method comprising the steps of: receiving field data indicating a number of component failures of a preselected component contained in each of a plurality of devices occurring prior to replacement as part of a maintenance program implementing one or more time-to-maintenance measures provided by a corresponding one or more prognostic algorithms designed to satisfy requirements indicated in the prognostic algorithm requirements statement, and indicating a total number of replacements of the preselected component for each of the plurality of devices; responsive to the field data, determining a confidence value indicating a level of confidence that failure avoidance requirements provided in the prognostic algorithm requirements statement are being met; responsive to the determined confidence value, verifying whether or not the prognostic algorithm requirements provided in the prognostic algorithm requirements statement are being satisfied according to a minimum of a preselected level of confidence; and making a real-time mission decision based on the step of verifying whether or not the prognostic algorithm requirements provided in the prognostic algorithm requirements statement are being satisfied according to a minimum of a preselected level of confidence.

20060265748

11135147

1. A method of detecting cyber attacks upon networked targets by potential intruders comprising the steps of: a) organizing audit log data into event records; b) adding unique target identifiers to said event records; c) adding the type of work performed by the networked targets to said event records; d) sorting said event records by the IP addresses of potential intruders; e) generating intruder records of the potential intruders of target IP addresses that were accessed; f) generating a vector space model of said event records; g) generating a dissimilarity matrix of the data and IP addresses in said event records; and h) clustering event records from said dissimilarity matrix that contain a selected event.

20090006298

12205722

1. A computer program product for classifying a message, the computer program product comprising: a computer readable medium having computer readable program code embodied therein, the computer readable program code comprising: computer readable program code configured to receive a message to be classified, said message having a message identifier; computer readable program code configured to determine if said message identifier uniquely maps to a corresponding classification category; computer readable program code configured to label the message with the identified classification category if said message identifier maps directly to a corresponding classification category; computer readable program code configured to parse the message to be classified and identify a plurality of features from the parsed message if said message identifier does not map directly to a corresponding classification category; computer readable program code configured to compare at least one classification rule to the plurality of features if said message identifier does not map directly to a corresponding classification category; computer readable program code configured to rate each classification rule that matches to said plurality of features; computer readable program code configured to identify a classification category from said rating; and computer readable program code configured to label the message with the identified classification category.

20140337703

14276802

1. A method for abstracting a best visualization point describing a selected visual analytic from an arbitrary two-dimensional dataset, the method being implemented by at least one data processor forming part of at least one computing system and comprising: accessing data from a data source; abstracting the accessed data into a two-dimensional dataset; determining the visualization point from the two-dimensional dataset; formatting the visualization point as metadata; and generating a one-dimensional or two-dimensional visual representation of the two-dimensional dataset based on the metadata.

9520141

13781262

1. A method performed by a teleconference computing device for suppressing transient noise in an audio signal, the method comprising: extracting one or more voiced parts from an audio signal input from an audio capture device to yield a residual part of the audio signal; decomposing the residual part of the signal into a sparse set of coefficients corresponding to noise pulses in the residual part of the signal; modeling each of the coefficients as a switched noise pulse combined with additive noise; estimating initial probabilities of detection states for each of the modeled coefficients; calculating transition probabilities between each of the detection states; determining a probable detection state for each of the coefficients based on the initial probabilities of the detection states for each of the coefficients, the calculated transition probabilities between each of the detection states, and observation probabilities determined from observed data associated with the noise pulses; filtering out transient noise from the residual part of the signal based on the probable detection states determined for the coefficients; and combining the filtered residual part of the signal with the one or more extracted voiced parts of the signal, wherein the transient noise is at least one of feedback noise, fan noise, and button-clicking noise due to mechanical connection between the audio capture device and a keyboard or trackpad of the teleconferencing computing device.

9025889

13772438

1. A method comprising: iteratively testing, at a processor, different models and corresponding scales for each of the models, the models being employed for modeling parameters corresponding to a visually detected data, captured by an image capturing module; evaluating, by a module evaluator, each of the models over a plurality of iterations based on a function evaluation of each of the models; estimating, by a scale estimator, the scales of inlier data points for each of the models, wherein estimating the scales comprises deriving the scales based on repeated inlier data points accumulated from the different models; selecting, at the processor, one of the models based on the function evaluation of the selected one of the models; and utilizing, at the processor, the selected one of the models for fitting the data; and wherein assigning a weighting factor comprises summing values assigned to each data point for each of the models, the assigned values being indicative of an inlier status of each point for each respective model.

9558452

14076106

1. A method executed at least its part in a computing device to provide a hierarchical, feature based statistical model for behavior predication and classification, the method comprising: constructing a hierarchical, feature based model for predicting subscriber interactions with the communication system based on community and personal parameters; determining one or more community parameters associated with a subscriber of a communication system; determining one or more personal parameters associated with the subscriber; and generating one or more personalized predictions for one or more interactions with the communication system using the model.

20170228278

15496348

1. A computer-implemented method comprising: receiving, by operation of a computer system, a dataset of a plurality of data records, each of the plurality of data records comprising a plurality of features and a target variable, the plurality of features and target variable including information of a manufacturing environment; identifying a set of normal data records from the dataset based on the target variable; identifying inter-feature correlations by performing correlation analysis on the set of normal data records; and detecting an anomaly based on the inter-feature correlations for predictive maintenance, wherein detecting an anomaly using the inter-feature correlations for predictive maintenance comprises: identifying a cluster of correlated features based on the inter-feature correlations; and building a model that estimates a first feature in the cluster of correlated features based on one or more other features in the cluster of correlated features.

4806936

07876948

1. A method of determining the positions of a plurality of targets using only the bearings of the targets and in which true targets are distinguished from false targets, comprising the steps of: (A) viewing the targets with at least three bearing sensors, each of the sensors receiving a strobe from a true target along a line indicating the bearing of the true target, the bearing lines intersecting to form triangles indicating the positions of the true targets and of the false targets; (B) comparing the size and position of each of the triangles with preselected values to distinguish one set of triangles indicating true targets from another set of triangles indicating false targets including eliminating by integer programming those triangles in excess of one which lie along a single bearing line; and (C) calculating the positions of said one set of triangles using the bearing lines which define the triangles in said one set.

6125383

08873217

1. A bioinformatics research system, comprising: at least a first computer running a multi-platform object oriented programming language, and at least a second computer storing biological data, the second computer providing the first computer with application programs at runtime for creation and manipulation of the biological data wherein at least one of the second computer and a third computer being operative as a server for the bioinformatics research system, the server providing the first computer with a list of objects at run time, the list of objects including services that the server can perform, wherein the objects are represented by names of Java client classes by name and the first computer can invoke the services causing the server to instantiate Java client classes by name at run time; and a network architecture interconnecting the computers, the network architecture allowing objects to transparently communicate with each other; wherein the bioinformnatics research system provides for integrating and organizing the biological data to facilitate biological research.

9940673

14015257

1. A computer-implemented method for displaying relationships between data records in a set of data records on a graphical user interface, the method comprising: displaying, by a server, a first axis containing each data record of the set of data records; displaying, by the server, a second axis containing each data record of the set of data records; and displaying, by the server, an indicator in a location on the graphical user interface corresponding to a data record on the first axis and a data record on the second axis, wherein the graphical user interface displays the indicator for every record corresponding to every other record, and wherein each indicator is generated by: receiving, by the server, historical performance data that represents a change in value for a first data record and a change in value for a second data record; dynamically calculating, by a server, a threshold value based upon the historical performance data of the first data record and the second data record; determining, by the server, how many instances in the historical performance data the changes in values of both of the first and second data records exceed the dynamically calculated threshold value; for each instance in which the changes in values of both the first and second data records exceeds the dynamically calculated threshold value, determining, by the server, whether the first and second data records have a positive union or a negative union; calculating, by the server, a statistic representing a relationship between the first and second data records based upon the number of positive unions and the number of negative unions; and using the calculated statistic, automatically generating, by the server, the indicator in the location corresponding to the first and second data records, wherein the indicator displays an extent of the statistic.

20020099694

09876925

1. A method for ranking relevancy of search results of a search for media on a communications network, said method comprising the steps of: categorizing metadata associated with said media, each category of metadata comprising at least one set of metadata; assigning at least one weight to each set of metadata, wherein a value of each weight is determined in accordance with a content of each set of metadata; and calculating a score for ranking said relevancy of each search result, wherein a score is calculated for each search result in accordance with said at least one assigned weight and category of each set of metadata.

20130254191

13707251

1. A method for determining one or more ranked candidate media in response to media query data generated at a mobile client device corresponding to a query media, comprising: receiving the media query data from the mobile client device, the media query data comprising feature data of one or more features of the query media encoded by one or more similarity preserving hashing functions and coordinate data for each of the one or more features; matching, on a server computer system, the one or more of the features of the query media with one or more corresponding features of a media database using the feature data of the query media to identify one or more features of the media database within a predetermined hamming distance in one or more hash tables from the one or more corresponding features of the query media to obtain one or more matched features in the media database; determining, on the server computer system, one or more candidate media whose number of matched features exceeds a matched feature threshold; generating, on the server computer system, a geometry similarity score between the query media and each of the one or more candidate media using the feature data and the coordinate data; ranking, on the server computer system, the one or more candidate media based on the numbers of matched features and the geometry similarity score; and sending the ranked candidate media to the mobile client device.

20100114539

12611978

1. A system for providing a digital three-dimensional data model of a component, wherein changes made to the component are detected by means of photogrammetry for the generation of digital three-dimensional change data models by which the digital three-dimensional data model of the component is automatically updated.

5421011

07810986

1. A method for controlling resource allocation in a data processing system having user identifiers, processes and resources, comprising the steps of: segregating system resources into a single pool and a plurality of group accounts; establishing a resource allocation account for each of said group accounts and said pool account, said account specifying resource control information including resource quotas for the account; assigning one or more of said user identifiers to said resource allocation group account; testing a user process resource request against the specified resource control information for the group account to which said user identifier is assigned; granting said resource request, if said request does not exceed resources available to said group account and decrementing group resources available by the amount granted; testing said resource request against said pool account information, if said request exceed resources available to the resource allocation group account; denying said resource request, if said request exceeds resources available to the resource allocation pool account; and granting said resource request, if said request does not exceed resources available to said pool account and decrementing pool resources available by the amount granted.