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20140026106

14037049

1. A method, comprising: generating a plurality of stochastic error models, using a processor, from probability data for a distribution of errors applied to a semiconductor photolithographic mask of a photolithography process; using the processor to analyze the plurality of stochastic error models applied to the semiconductor photolithographic mask based on one or more semiconductor fabrication criteria; and generating a recommendation for a modified semiconductor mask.

4559604

06304154

1. A machine implemented pattern recognition method comprising comparing input patterns with standard patterns, selecting a plurality of candidates that are likely to be input patterns according to identified values that represent the results of the comparison, and inferring an input pattern among the selected candidates that are likely to be input patterns according to a predetermined criterion of inference which is determined from the commonness of the nature of each of the selected candidates with the other selected candidates.

20040157201

10360110

1. A method for generating an index for use in evaluating the effectiveness of an educational institution comprising the steps of: a. collecting work from students at the institution; b. analyzing the collected student work to determine its alignment to standards as a percentage; c. analyzing the collected student work to determine its breadth of coverage as a percentage; d. observing the classroom teaching of students at the institution; e. analyzing the observed teaching to determine the percentage of time on task; f. analyzing the observed teaching to determine instructional effectiveness as a percentage; and g. multiplying together the four percentages of alignment to standards, breadth of coverage, time on task and instructional effectiveness to produce an index value.

7867754

11786757

1. A method for detecting an analyte comprising: providing a substrate surface comprising a microarray comprising multiple positive array elements arranged on the substrate surface in a periodic pattern of array elements, said positive array elements comprising a sensing molecule that targets the analyte; flowing a sample comprising the analyte over the substrate surface such that the sample sequentially contacts positive array elements in the microarray under conditions to cause the analyte to interact with the sensing molecules; detecting interactions between the analyte and the sensing molecule; determining whether the arrangement of the detected interactions on the substrate surface forms a periodic pattern; calculating the periodicity of the pattern of detected interactions; and comparing the periodicity of the pattern of detected interactions with the periodicity of the pattern of positive array elements, to determine whether the periodicities are essentially the same; wherein a determination that the periodicities are essentially the same is indicative of the presence of analyte in the sample.

20070085826

11302406

1. A method of evaluating tactile sensations of a car seat cover, comprising: identifying a type of the car seat cover; obtaining values for one or more physical characteristic factors of the car seat cover in accordance with the identified type of the car seat cover; quantitatively evaluating a first set of tactile sensations with regard to the car seat cover, including determining quantitative numerical values of the first set of tactile sensations based on the obtained mechanical and thermal/physiological characteristic factors using a statistical recursive model; grading the mechanical and thermal/physiological characteristic factors and the quantitative numerical values of the first set of tactile sensations, yielding a first set of grades; quantitatively evaluating a second set of tactile sensations with regard to the car seat cover, including setting the quantitative numerical values of the first set of tactile sensations as input values, subjecting the set input values to an artificial neural network model, and determining quantitative numerical values of the second set of tactile sensations; grading the quantitative numerical values of the second set of tactile sensations, yielding a second set of grades; and displaying the first and second sets of grades.

9218451

14101105

1. A system for processing genetic data, including: one or more computer processors configured to: receive two or more genetic data sets for an individual from one or more genetic data sources, wherein the genetic data sets comprises data pertaining to the individual's deoxyribonucleic acid (DNA); merge the genetic data sets from the one or more genetic data sources to obtain a set of merged genetic data for the individual, including to: identify data in the genetic data sets that is conflicting, the identified data corresponding to a genetic marker associated with a variation that occurs at a region in the individual's genome; analyze the identified data to automatically resolve a discrepancy attributed to the identified conflicting data and automatically determine an appropriate value that corresponds to the genetic marker, the analysis and the determination being based at least in part on contextual information that includes one or more of: family inheritance information, population-specific information, linkage disequilibrium information, or information from multiple probes; and store the appropriate value in the set of merged genetic data; and store the set of merged genetic data for the individual; and one or more memories coupled to the one or more computer processors and configured to provide the one or more computer processors with instructions.

20030076366

09982395

1. A method for generating a map that associates a graphics element of a graphical user interface of a software application with an executable feature of the software application, the method comprising: retrieving information descriptive of the graphics element, the information including an executable feature associated with the graphics element; storing the executable feature in association with the graphics element; and executing an executable feature stored in association with a graphics element.

20060285665

11139812

1. A fraud detection method for generating a first fraud or fraud attempt probability, within an at least one captured or recorded interaction, the method comprising the step of scoring an at least one voice belonging to an at least one tested speaker in the at least one captured or recorded interaction against an at least one voice print within an at least one entry in a voice print collection, the scoring step generating a probability that the at least one voice in the captured or recorded interaction belongs to an at least one second speaker associated with the at least one voice print, said probability represents the probability that the at least one captured or recorded interaction is fraudulent.

9747616

14633414

1. An apparatus comprising: a storage device configured to store instructions; a processing unit communicatively coupled to the storage device and configured to execute the instructions, where the instructions cause the processing unit to: generate a set of gain vectors with respect to a transition model having observable visible states and unobservable hidden states and expressing a transition from a present visible state to a subsequent visible state according to an action, the set of gain vectors being generated for each visible state and used for calculation of a cumulative expected gain at and after a reference point in time; wherein the instructions cause the processing unit to generate the set of gain vectors by: setting, with respect to each hidden state, a probability distribution over the hidden states for selection used to select vectors to be included in the set of gain vectors from the gain vectors including a component for a cumulative gain; and including, in the set of gain vectors, with priority, the gain vector giving the maximum of the cumulative expected gain with respect to the probability distribution for selection; wherein the instructions further cause the processing unit to select an optimum action based on the set of gain vectors by: setting initial conditions for visible and hidden states for an environment to be simulated; selecting the gain vector which maximizes the cumulative expected gain with respect to the probability distribution over the hidden states at the present point in time; selecting an action that corresponds to the selected gain vector; executing the selected action to cause a probabilistic transition from a visible state based on a state transition probability corresponding to the selected action and the present probability distribution over the hidden states; and updating the probability distribution over the hidden states on the basis of the state transition probability corresponding to the selected action and the present probability distribution over the hidden states.

20140253293

14205279

1. A method for estimating a population of Radio Frequency Identification (RFID) sensors in an area based upon responses during an interrogation frame processed by a processing system in a transceiver system receiving the responses comprising: receiving responses from RFID sensors during a plurality of time slots of a receiving frame; determining a contention resolution of each of the plurality of time slots; determining a probability state for each of a plurality of population estimates based upon the contention resolution for each of the plurality of time slots; estimating a probability for each of the plurality of population estimates based on the probability state; selecting one of the plurality of population estimates as a population based upon the estimated probability of the selected population estimate meeting a predetermined criteria.

20080288430

12130543

1. A computer implemented method for inferring a probability of a first inference, wherein the first inference relates to anomalous behavior of a member of a cohort, wherein the anomalous behavior comprises a behavior that is more likely not to occur than to occur, and wherein the computer implemented method comprises: receiving a query at a database regarding a fact, wherein the first inference is absent from the database, wherein the database comprises a plurality of divergent data, wherein the plurality of divergent data includes a plurality of cohort data, wherein each datum of the database is conformed to the dimensions of the database, wherein each datum of the plurality of data has associated metadata and an associated key, wherein the associated metadata comprises data regarding cohorts associated with the corresponding datum, data regarding hierarchies associated with the corresponding datum, data regarding a corresponding source of the datum, and data regarding probabilities associated with integrity, reliability, and importance of each associated datum; establishing the fact as a frame of reference for the query; applying a first set of rules to the query, wherein the first set of rules are determined for the query according to a second set of rules, wherein the first set of rules determine how the plurality of data are to be compared to the fact, and wherein the first set of rules determine a search space for the query; executing the query to create the probability of the first inference, wherein the probability of the first inference is determined from comparing the plurality of data according to the first set of rules; and storing the probability of the first inference.

8881005

13451763

1. A method implemented in a computer infrastructure, comprising: reviewing an input text to detect spelling errors in one or more words by detecting space-deletion errors and space-insertion errors; calculating a variable cost distance of letters associated with the one or more words; determining a best candidate solution for correcting the spelling errors based on the variable cost distance; and correcting the spelling errors using the best candidate solution, wherein: the detecting space-deletion errors comprises choosing a sequence of letters with a maximum marginal probability via an A* lattice search and m-grams probability estimation; and the detecting space-insertion errors comprises generating all possible combinations between words in an input phrase.

20180077534

15703779

1. A method of performing simultaneous localization and mapping (SLAM) optimization, the method comprising: receiving, by one or more processors, traces collected by multiple portable devices moving within a geographic area that includes an indoor region, each of the traces including measurements of wireless signals sources at different times by a same device; determining, for each of a plurality of cells in the geographic area, respective probabilities of moving in various directions relative to the cell, the plurality of cells defining a motion map for the geographic area; and generating, by the one or more processors, location estimates for the portable devices and the signal sources using graph-based SLAM optimization of the location estimates, including, for at least some of the location estimates: determining to which of the plurality of cells of the motion map the location estimate corresponds, and applying the measurements of wireless signals sources and the set of probabilities of the cells as a first constraint and a second constraint, respectively, in the graph-based SLAM optimization.

20160271508

14436081

1. A building block system, comprising: a plurality of basic units and a plurality of connectors; wherein the basic units are hexahedrons; wherein each of the connectors is used to connect two basic units; wherein each face of the basic units is evenly set with at most four connecting holes; wherein each face of the basic unit is set with a slot; wherein the connecting holes on each two opposing faces are correspondingly connected by the slots of the other four faces; wherein the connector inserts into one connecting hole on one face of the basic unit, and comes out from another connecting hole on the opposing face through the slot to connect with another basic unit.

9696454

14989472

1. A method of wellbore operations comprising: providing a downhole tool having a pulsed neutron source and detectors; disposing the downhole tool in production tubing that is inserted in the wellbore; causing gamma rays to scatter into the wellbore by emitting neutrons from the tool into an annulus that circumscribes the tubular; detecting the gamma rays in the wellbore with the detectors to obtain a count rate of gamma rays detected by each of the detectors; obtaining a ratio of each of the count rates; comparing each of the ratios of count rates with a reference count rate ratio, the count rate ratios comprising ratios of count rates selected from the group consisting of inelastic gamma rays, capture gamma rays, and a combination of inelastic and capture gamma rays detected by detectors; and identifying the presence of weighting material in the annulus based on the step of comparing the ratios of the count rates.

6041780

08821708

1. A method for automatically adjusting IPAP during ventilation of a patient being assisted by a system having a controller, comprising the steps of: maintaining a constant preselected IPAP level during each inspiratory phase; preselecting a target minute volume; continually measuring said patient's actual minute volume; providing information as to said measured actual minute volume to said controller; and periodically adjusting said preselected IPAP level of subsequent inspiratory phases so as to gradually conform the actual minute volume to the target minute volume.

10032230

14457462

1. A method of auditing a transaction, the method comprising: receiving, at a processor, data characterizing the transaction, the data including a first price for a travel service to be provided by a service provider; determining, by the processor, a second price for the travel service based on a pricing rule of the service provider; determining, by the processor, if the first price matches the second price; in response to the first price matching the second price, allowing, by the processor, the transaction; in response to the first price not matching the second price, determining, by the processor, at least one source of the discrepancy; determining, by the processor, at least one weighted discrepancy parameter for the at least one source of the discrepancy; determining, by the processor, at least one action parameter based on the at least one source of the discrepancy, the at least one weighted discrepancy parameter, and a set of transactions that occurred prior to the transaction; and determining, by the processor, an action based on the action parameter.

10054936

14741700

1. A manufacturing execution system configured to provide an indication of the performance of a line in an industrial process, the line including a plurality of entities, the entities being configured to perform a plurality of jobs to advance production of one or more line outputs, the manufacturing execution system comprising: a configuration module comprising a configuration database, the configuration module being operably connected to a configuration display and user interface adapted to receive configuration inputs from a user of the manufacturing execution system, the configuration module being configured to generate a configuration view on the configuration display and to receive the configuration inputs from the user interface, the configuration module being further configured to: generate an entity model representative of each of the entities in the line in response to configuration inputs entered into the user interface defining parameters for each of the entities, each of the entities being configured to perform one of the jobs to advance the production of said one or more line outputs by producing one or more entity outputs from one or more entity inputs; store each of the entity models in the configuration database; generate a line model representative of the line in response to configuration inputs defining parameters for the line, the entities assigned to the line, and an ordered sequence of the assigned entities, the line model including an indication of a line position of each entity and whether each entity is capable of being a bottleneck entity based on the user inputs defining the assigned entities and the ordered sequence thereof; and store the line model in the configuration database; and a runtime module operably connected to a runtime display, the configuration database, and a field input of the industrial process, the runtime module being configured to: associate a bottleneck identifier with one or more bottleneck entities using the line position indications and the indication of whether each entity is capable of being a bottleneck entity for at least one of the entities; determine a line production metric representing performance of the entire line using production data received from the field input and selectively considered for only the bottleneck entities associated with the bottleneck identifier; and display the line production metric on the runtime display to provide an indication to a user of the manufacturing execution system of the performance of the entire line in the industrial process; wherein the runtime module is configured to adjust the bottleneck entities to improve the production of the line.

20150116597

14525262

1. A system to perform hiearchical video segmentation, comprising: a processor coupled to a camera; code for defining voxels over a spatio-temporal video; code for grouping into segments contiguous voxels that display similar characteristics including similar appearance or motion; code for determining a trajectory-based feature that complements color and optical flow cues, wherein trajectory cues are probabilistically meaningful histograms combinable for use in a graph-based framework; and code for applying a max-margin module for cue combination that learns a supervised distance metric for region dissimilarity that combines color, flow and trajectory features.

8037435

12116136

1. A method for compiling a user design for an integrated circuit, the method comprising: specifying a design space comprising a first set of input parameters whose values determine characteristics of the user design; reducing size of the design space by applying, using a computer system, at least one optimization technique to eliminate at least one input parameter from the design space to create a second set of input parameters that is a subset of the first set of input parameters; dividing the second set of input parameters into a plurality of subsets of input parameters; evaluating, using the computer system, the plurality of subsets of parameters, wherein evaluating the plurality of subsets of parameters comprises iteratively performing the following steps, using the computer system, for each of the plurality of subsets of parameters: selecting a subset of parameters from the plurality of subsets of parameters, compiling the user design with selected subset of input parameters, and determining whether the compiled user design exceeds a set of best performance results; and if the compiled user design exceeds as set of best performance results, using the computer system to update the set of best performance results to represent performance results for the compiled user design and to store the selected subset of input parameters as best set of performance parameters.

20140172859

13713009

1. A method for trade interaction chain reconstruction, comprising: receiving interactions; identifying a swap deal, the swap deal includes two or more of the received interactions and involves two or more participants; selecting a first interaction of the received interactions, said first interaction involves at least two participants of the two or more participants, said first interaction is stored on a computerized device; obtaining a first plurality of interactions of the received interactions that involve the at least two participants of the two or more participants; determining a first plurality of relevance scores between the first plurality of interactions and the first interaction; and associating interactions of the first plurality of interactions to be relevant to the swap deal according to the determined first plurality of relevance scores.

20070271266

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 of the plurality of records being characterized by at least one term within the vocabulary; identifying nearest neighbors for each term within the vocabulary; imputing a degree of membership for each nearest neighbor identified for each term within the vocabulary; augmenting the obtained dataset with the imputed degree of membership; and generating a taxonomy of the augmented dataset.

20170054605

14831168

1. A device, comprising: one or more processors to: obtain first information related to network devices of a network, obtain second information related to the network devices and/or to one or more historic network service incidents associated with the network devices, the second information being different than the first information, and the one or more historic network service incidents being related to network services provided in association with the network devices, the one or more historic network service incidents including outages and/or degradations of one or more network services; perform an analysis of the first information and the second information; train a predictive model based on the analysis of the first information and the second information, the predictive model predicting a probability of a future network service incident based on the first information and/or the second information; and cause third information, related to the network devices, to be monitored based on the predictive model.

20050142529

10974530

1. A method of grading an essay using an automated essay scoring system, the essay being a response to a test prompt, comprising: deriving a set of predetermined features from the essay, wherein the predetermined features comprise one or more features that are independent from the test prompt; evaluating the feature set with a scoring equation; generating a raw score for the essay from the scoring equation; and processing the raw score for the essay, wherein on an adaptive cutoff algorithm is utilized to assign the raw score to a score category.

9646073

14130833

1. A wetness event detection system for processing sensor signals to detect wetness events in sensor data obtained from one or more wetness sensors in a pad worn by a subject, the system including: (a) an input module configured to receive and optionally pre-process sensor signals from the one or more wetness sensors; (b) a storage module configured to store reference wetness data; (c) processing means configured to process sensor data from the input module to identify wetness events in the sensor data; (d) a memory module storing instructions that are executable to cause the processor to perform a method of analysing sensor data; (e) a user interface configured to receive inputs from a user; and (f) a display means communicatively coupled with the processing means and configured to display wetness event information derived from the processing means, wherein the processing means processes the sensor data in segments identified using a moving window including one or more boundaries to output a sequence of segment types by extracting one or more properties of an incoming data segment including properties derived from one or more intersections of the incoming data with the one or more boundaries and forming an Unknown Property Vector for each segment of data in the incoming data to identify wetness events in the incoming data, wherein the sequence of segment types is determined, for each segment, by reference to a set of Reference Property Vectors that are relevant to the Unknown Property Vector.

20110234594

12748014

1. A computer-implemented method comprising: obtaining a participation graph that represents relationships between entities; constructing an auxiliary graph based on the participation graph by at least: forming a bipartite graph corresponding to the participation graph; replacing undirected edges in the bipartite graph with directed edges; assigning directional weights to the directed edges; and connecting vertices representing the entities to an arbitrary sink vertex; determining clusters by solving an objective function defined for the auxiliary graph; and utilizing the clusters determined for the auxiliary graph to ascertain clusters that solve a related objective function defined for the participation graph.

20110196818

13090147

1. A method comprising: simultaneously generating and executing, by a computer-based system for generating a plurality of predictive models, the plurality of predictive models, wherein at least one of the predictive models in the plurality of predictive models is based upon analysis and manipulation of data associated with a group of consumers, and wherein each model is given a score representing an accuracy of the model; and tracking, by the computer-based system, a behavior and performance of the plurality of predictive models using a Population Stability Index (“PSI”).

20020174376

09818428

1. A method of managing a communication channel, comprising: receiving a plurality of symbols representing information encoded using a predetermined coding scheme; receiving a plurality of symbol reliability values corresponding to the symbols; associating each of the symbols with one of a plurality of predetermined classes; determining a plurality of class reliability values based on the symbol reliability values; providing a plurality of predetermined weighting factors corresponding to the classes; weighting each of the class reliability values with a corresponding one of the predetermined weighting factors to generate a plurality of weighted class reliability values; and taking a predetermined action for managing the communication channel based on at least one of the weighted class reliability values.

9536040

14092238

1. A method of designing an exhaust assembly, comprising the steps: developing an initial exhaust assembly design that comprises: an exhaust pipe having an exhaust pipe opening, the opening having an exhaust pipe height, and a bezel shield defining a shield exhaust opening aligned with the exhaust pipe opening, the shield exhaust opening having a shield exhaust height; evaluating the initial design based on a design guide; developing an interim exhaust assembly design based on the initial design and a parametric model; evaluating the interim design using a computational fluid dynamics model; and developing a final exhaust assembly design based on the parametric and the fluid dynamics models, wherein the design guide classifies a plurality of relationships between the exhaust pipe height and the shield exhaust height and requires the shield exhaust height to be greater than or equal to 1.2 times the exhaust pipe height.

9613267

14475809

1. A computer implemented method of extracting structural label and value pairwise data associated with a digital version of a document, the method comprising: a) performing a layout analysis of the digital version of the document to generate one or more layout structures associated with the document, each layout structure including a plurality of structural elements vertically or horizontally aligned where each structural element is defined as a typographical box including one or more lines of textual elements associated with the digital version of the document; b) processing the one or more lines of textual elements to identify and tag textual elements associated with label and value pairwise data; c) processing the one or more layout structures and associated tagged textual elements to generate one or more respective label:value sequences of tagged textual elements representative of a respective layout structure; and d) extracting label and value pairwise data from the one or more label:value sequences of tagged elements, wherein step c) generates the one or more respective label:value sequences of tagged textual element using a sequence-based method to hierarchically segment a sequence of elements associated with the generated one or more layout structures associated with the digital version of the document; and wherein the sequence-based method includes: generating a set of n-prams from the sequence of elements, an n-gram including an ordered sequence of n features provided by a sequence of n named elements; electing sequential n-grams from the set of n-grams, the sequential n-grams defined as similar contiguous n-grams; selecting a most frequent sequential n-pram from the elected sequential n-grams; and generating a new sequence of the elements by matching the selected most frequent sequential n-gram against the sequence of elements associated with the document, replacing matched elements of the sequence of elements with a respective node, and associating the matched elements of the sequence of elements as children of the respective node.

7680752

11326930

1. A process management system comprising: an execution engine to execute a process, the execution engine being configured to provide a process history including an audit trail, a process state and a process description; a prediction module in communication with the execution engine, the prediction module being configured to provide a process prediction to the execution engine based on the process history, the process state and the process description; and a learning module in communication with the prediction module to process one or more of the process history and the process description and generate a learning model for the prediction module, wherein the learning model includes a decision tree for predicting message events or a process state, where nodes of the decision tree involve preceding message events or values within the process state.

20150363299

14519461

1. A method for identifying performance issues in an application under test (AUT), the AUT executing on a system under test (SUT) in a test environment, the AUT using one or more context parameters of the SUT and/or the test environment, the method comprising: identifying, by a computer, performance antipatterns in trace data generated by the AUT when executing a set of test suites based on a set of performance antipattern definition rules, each performance antipattern associated with one or more context parameters; identifying, by the computer, one or more performance test suites that cause the AUT to use at least one of the one or more context parameters associated with the identified antipatterns; and ranking, by the computer, the list of identified performance test suites based on respective priority values associated with each identified antipattern.

20060044310

11170421

1. A computer-implemented method for candidate generation in three-dimensional volumetric data comprising: forming a binary volumetric image of the three-dimensional volumetric data including labeled foreground voxels; estimating a plurality of shape features of the labeled foreground voxels in the binary volumetric data comprising, identifying peak voxels and high curvature voxels from the foreground voxels in the binary volumetric image, accumulating a plurality of confidence values for each boundary voxel and each peak voxel, detecting confidence peaks from the plurality of confidence values, wherein the confidence peaks are determined to be the candidate points; and refining the candidate points given detected confidence peaks, wherein refined candidate points are determined to be candidates.

20050086206

10686964

1. A method of collaborative focused crawling of documents related to multiple focus topics on a network, the method comprising: selectively prioritizing the documents to crawl based on a set of rules; fetching prioritized documents from the network; for each fetched document, determining whether the fetched document is relevant to any of the multiple focus topics; crawling the fetched document that matches any of the multiple focus topics; and further crawling out-links on the fetched document based on an assumption that if the fetched document is of interest, the out-links are also of interest.

20120030205

13270885

1. A method of mapping input listings to consolidated listings, the method comprising the computer-implemented steps of: receiving a plurality of input listings from one or more sources, wherein the plurality of input listings comprise different item listing variants for a particular product; establishing from the plurality of input listings, a group of input listings that share one or more common attribute values representing the particular product; determining, for the group of input listings, a single corresponding consolidated listing based on attribute values associated with the input listings in the group and attribute values associated with consolidated listings, wherein the determined consolidated listing represents the particular product; mapping each input listing in the group of input listings to the determined consolidated listing; providing to a user the consolidated listing rather than different item listings variants representing the particular product; and storing each mapped input listing in a memory.

20080133436

11759083

1. An information-processing apparatus for constructing an information analysis processing configuration to foe applied to information analysis processing in an observation domain including an uncertainty, said information-processing apparatus comprising a data processing unit for; taking a Partially Observable Markov Decision Process as a basic configuration; taking each of elements included in every information space defined in said Partially Observable Markov Decision Process as a unit; analyzing relations between said elements; and constructing an Factored Partially Observable Markov Decision Process, which is a Partially Observable Markov Decision Process including said relations between said elements, on the basis of results of said analysis.

8522181

13357544

1. A method to design an integrated circuit comprising: creating a plurality of canonical hierarchical models to represent the integrated circuit, the plurality of canonical hierarchical models including at least a first type canonical model to capture a first capacitance of a device having a plurality of first conductors, and a second type canonical model to capture a second capacitance between at least a portion of the device and one or more second conductors of the integrated circuit, wherein the second type canonical model represents a portion of the integrated circuit comprising the one or more second conductors outside the device; and determining a capacitance in the design of the integrated circuit based on the plurality of canonical hierarchical models.

20170141959

14939681

1. A method performed by a system of one or more computers, the method comprising: before reconfiguring a session binding repository (SBR) database for a data communications network, selecting a first plurality of SBR servers for storage of a first plurality of SBR records using a first assignment algorithm; while reconfiguring the SBR database, selecting a second plurality of SBR servers for storage of a second plurality of SBR records using a second assignment algorithm and searching for a first plurality of stored records in the SBR database based on both the first and second assignment algorithms; and after reconfiguring the SBR database, selecting a third plurality of SBR servers for storage of a third plurality of SBR records using the second assignment algorithm and searching for a second plurality of stored records in the SBR database based on the second assignment algorithm and ceasing searching in the SBR database based on the first assignment algorithm.

20120253812

13078866

1. A method for syllable/vowel/phone boundary detection in speech, comprising: a) determining an auditory spectrum for an input window of sound; b) extracting one or more multi-scale features from the auditory spectrum, wherein each multi-scale feature is extracted using a separate two-dimensional spectro-temporal receptive filter; c) generating one or more feature maps corresponding to the one or more multi-scale features; d) extracting an auditory gist vector from each of the one or more feature maps; e) obtaining a cumulative gist vector through augmentation of each auditory gist vector extracted from the one or more feature maps; and f) detecting one or more syllable or vowel or phone boundaries in the input window of sound by mapping the cumulative gist vector to one or more syllable or vowel boundary characteristics using a machine learning algorithm.

20010013027

09080320

1. A computer implemented optimization method comprising the steps of decomposing an optimization problem into a first plurality of sub-problems, predicting an evaluation of a solution to a sub-problem, evaluating a composed solution of said optimization problem based on at least one of an evaluation of a solution and a predicted evaluation for each sub-problem, and repeating said decomposing step to form a second plurality of sub-problems wherein at least one of said sub-problems of said second plurality of sub-problems differs from sub-problems of said first plurality of sub-problems.

20070019316

11188199

1. A magnetic servo position demodulator comprising: a transducer operable to detect a reference mark on a magnetic medium; a PRML detector connected to the transducer; and a digital filter coupled to the PRML detector, the digital filter operable to provide information regarding a position of the reference mark on the magnetic medium.

9463815

13962252

1. A method for predictive modeling, the method comprising: generating, via a computer processing device, a factor matrix for each univariate time series data in a set of sparse time series data collected from data sources operating in a railroad environment, the time series data including at least one of temperature, optical geometry, load, and acoustic data; identifying a subset of the time series data as a feature selection based on application of a loss function; generating a predictive model from the subset of the time series data; and generating, from the predictive model, a prediction indicating an amount of time before a failure occurs with respect to a component of the railroad environment.

20120239376

13418879

1. A computer-implemented method of predicting a performance of a consolidated virtualized computing environment, comprising: processing benchmark workloads using a plurality of virtual machines to generate a plurality of traces, each trace comprising data corresponding to requests issued by a respective virtual machine operating in an isolated environment; storing the plurality of traces in one or more trace repositories, each trace repository provided as a computer-readable storage medium; selecting a trace from the plurality of traces stored in the one or more trace repositories; parameterizing a queuing model based on the trace, the queuing model representing request queuing in the consolidated virtualized computing environment; and processing the queuing model using one or more processors to generate one or more response time estimates for the consolidated virtualized computing environment.

20160357686

15237645

1. A method for adjusting the configuration of a cache within a computer system that includes at least one entity that submits a stream of references, each reference corresponding to a location identifier corresponding to data storage locations in a storage system, the method comprising: spatially sampling, at a sampling rate, the stream of references by: selecting a threshold value; computing a hash value for each reference; comparing the hash value for each reference in the stream with the threshold value and selecting only those references whose hash value meets a selection criterion; selecting a plurality of caching configurations; concurrently applying the selected references as inputs to a plurality of caching simulations each corresponding to a respective one of the caching configurations, and computing a resulting, respective set of cache utility values for each caching simulation; selecting an optimal configuration from among the caching configurations as a function of the computed sets of cache utility values for each caching simulation; and configuring the cache according to the optimal configuration.

8020123

12099723

1. A method of automatically creating a test plan for a design, the method comprising: receiving a description of the design; determining an architecturally visible state in the design, wherein determining an architecturally visible state includes classifying each signal in the design as one of transient, persistent, and temporary, wherein transient signals are signals corresponding to transaction-processing finite state machines identified by abstraction heuristics, persistent signals are sequential signals left after abstraction, and temporary signals are any signals that are not transient signals or persistent signals; computing by a computer coverage points for each signal based on its classification; and outputting a set of coverage points based on the computing, the set of coverage points providing a comprehensive test plan for a simulation of the design.

9532019

14759234

1. A color grading monitor with LUT (Look-up table) mapping function, for performing LUT mapping to an input image, characterized in that the color grading monitor comprises an LUT storing unit, and further comprises: a receiving module, configured for receiving at least one LUT data or generating LUT data in a specific format according to received operation; an analysis module, configured for analyzing that whether the LUT data meets a predetermined condition, if the LUT data meets the predetermined condition, the received data is updated in the LUT storing unit for a new LUT mapping; if the LUT data does not meet the predetermined condition, the LUT data is discarded, wherein the analysis module compares at least of the data format, data length, and/or data parity information of the received LUT data to corresponding predetermined conditions, and if the data format, data length, and/or data parity information of the received LUT data match the corresponding predetermined conditions, the analysis result is “match predetermined condition”; a transponder module, configured for feeding back analysis results of the analysis module to a control terminal, to determine if it is needed to re-adjust the LUT data wherein, if the analysis result is “match predetermined condition”, the transponder module feeds back a message of “received data is correct”, if at least one of the data format, data length, and data parity information does not match the predetermined conditions, the analysis result is “not match predetermined condition”, and the transponder module feeds back a message of “reception data error”; and a display module, configured for displaying the input image which is updated with the new LUT mapping according to the analysis result from the analysis module.