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20110246533

13065915

1. A computer program product, comprising a non-transitory computer usable medium having a computer readable program code embodied therein, the computer readable program code adapted to be executed to implement a method for rule-based performance of actions on related objects, the method comprising: identifying a first action performed in association with a first object; evaluating at least one rule associated with the first object, based on the first action; and conditionally performing at least one second action associated with at least one second object related to the first object, based on the evaluation of the at least one rule.

7577562

11014492

1. A computer-implemented method of identifying treelet translation pairs for use in a machine translation system that translates a source language input into a target language output, the method comprising: accessing a corpus of pairs of aligned, parallel syntactic dependency structures, each pair including a source language dependency structure having nodes that represent lexical items, the nodes being aligned with nodes representing lexical items in a target language dependency structure; enumerating individual source nodes and combinations of source nodes connected in the source language dependency structure as possible source treelets identifying lexical items, and corresponding dependencies, in the target language dependency structure, that are aligned with the enumerated nodes and combinations of connected nodes, as possible target treelets corresponding to the possible source treelets; extracting well formed treelet translation pairs from the possible source treelets and possible target treelets using a processor of the computer, by extracting as a well formed treelet translation pair the possible source treelet and corresponding possible target treelet only if the lexical items in the possible source treelet are only aligned with lexical items in the possible target treelet and the lexical items in the possible target treelet are only aligned with lexical items in the possible source; storing the treelet translation pairs in a data store; and outputting the treelet translation pairs for use by a component in a machine translation system.

8947937

14193814

1. A mass storage device coupled to a host and comprising: a storage media comprising one or more first memory devices including a first memory, the storage media further comprising a plurality of NAND flash memory devices including a NAND flash memory, the one or more first memory devices being distinct from the plurality of NAND flash memory devices, the mass storage device partitioned into at least one Logical Unit (LUN) based on the resources and utilization of the mass storage device, one of the at least one LUNs including at least a portion of the first memory and at least a portion of the NAND flash memory; and a controller coupled to the first memory device and the NAND flash memory device, wherein the at least one LUN is configured to optimize the performance of the host.

8244571

12609440

1. A method in a computing system for constructing a demand generation equation to predict the level of demand for an offering that will be generated by allocating particular levels of resources to different marketing activities, comprising: receiving a plurality of observations from a user; for each of at least two of the plurality of observations: for each of a plurality of candidate driver variables, retrieving a value for the candidate driver variable as it relates to the observation; for each of at least one outcome variable, retrieving a value for the outcome variable as it relates to the observation; using the variable values retrieved for the observations, estimating an equation that relates the candidate driver variables to the outcome variable to produce coefficients for each of the candidate driver variables, wherein the estimating is performed using a generalized least-squares technique; and conducting statistical diagnostics on the estimated equation to validate the estimated equation, wherein conducting statistical diagnostics on the estimated equation to validate the estimated equation comprises requiring that the estimated equation fall within the range of elasticity norms from an elasticity library.

20160283784

14667340

1. A system to detect a valid hand pose in an image, the system comprising: a processor coupled to memory, the processor to: detect skin pixels in the image using a multi-layer skin filter; classify the skin pixels into a set of foreground skin pixels and a set of background skin pixels; store information about the set of background skin pixels in a persistent memory; determine a set of features from the set of foreground skin pixels; cluster features from the set of features to create a set of hand pose descriptors; determine a set of candidate hand pose region descriptors and a set of candidate hand pose contour descriptors that match the set of hand pose descriptors; and detect the valid hand pose using the set of candidate hand pose region descriptors and the set of candidate hand pose contour descriptors.

20050004481

10604209

1. A method for noninvasive ECG detection and diagnosis, comprising the following steps: acquiring high-resolution ECG data from a patient; processing said acquired data in accordance with two or more different ECG analysis algorithms; and deriving a prediction score for a particular clinical end point as a function of the respective results of said two or more ECG analysis algorithms.

20150243032

14191147

1. A computer implemented method for rejecting false alarms in a plurality of preliminary detected ship candidates, the method comprising: receiving an image including the plurality of preliminary ship candidates; computing intensity and gradient statistics from an image background around each of the preliminary ship candidates; determining a set of thresholds from the computed intensity and gradient statistics; determining an outline and an orientation for each of the preliminary ship candidates, using the computed intensity and gradient statistics; extracting a plurality of features from each of the outlines and orientations of the preliminary ship candidates, wherein the plurality of features includes intensity-based features, gradient-based features, texture-based features and shape-based features; and rejecting false alarms in the plurality of preliminary detected ship candidates using the extracted features and the determined thresholds and statistical distance classifiers.

5565350

08353657

1. A mixed ribo-deoxyribonucleic acid having at most one 3' end and one 5' end, which nucleic acid further comprises: a) at least one region of contiguous unpaired bases disposed so that the unpaired region deparates the nucleic acid into a first strand and a second strand; b) connected by said region of contiguous unpaired bases a region of Watson-Crick paired nucleic acid of at least 15 base pairs in length, in which bases of the first strand correspond to bases of the second strand, and in which: c) the first strand comprises a region of at least three contiguous nucleotides comprised of a 2'-O or 2'-OMe ribose, which form a hybrid-duplex within the region of Watson-Crick paired nucleic acid.

20140057244

14064094

1. A method of diagnosing Attention Deficit Hyperactivity Disorder (ADHD), comprising: employing a tangible-graphical interactive game with a patient that induces predetermine stimuli requiring predefined responses; measuring such responses using a predefined set of variables to generate a set of measured metrics; generating from such measured metrics a signal that indicates whether there is a likelihood that the patient has ADHD.

9158655

13937998

1. An apparatus for assessing standards compliance during computer development, comprising: an interface operable to receive a first selection from a user, the first selection comprising a design assessment ruleset to be used for evaluating a computer change, the design assessment ruleset comprising one or more design assessment rules, each design assessment rule associated with a condition that determines whether the design assessment rule is evaluated, the condition indicating whether the assessment rule is associated with one or more of a pilot project and a completed project; a memory operable to store the design assessment ruleset; and a processor communicatively coupled to the interface and the memory, the processor operable to: determine whether the computer change is associated with a pilot project; communicate to the user a design evaluation question relating to each design assessment rule whose associated condition indicates that the assessment rule is associated with a pilot project, an answer to the design evaluation question indicating an extent to which the computer change complies with the design assessment rule, the answer indicating one of compliance, noncompliance, or partial compliance; and determine one or more design scores based on the answer to each design evaluation question.

20160203249

14914621

1. A method implemented by computer, for selecting representative paths for the analysis of the behavior of an integrated circuit according to a predefined analysis strategy, comprising the identification of the set of paths of said integrated circuit having logic gates and the construction of a list of the set of said paths, the method further comprising the following steps: the selection of several criteria related to the behavior of said integrated circuit, said several criteria being chosen from among the following types: topology, usage, sensitivity, environment, criticality; the determination of values of the selected criteria for each of said identified paths; the application of a correlation function so as to aggregate the set of said values of criteria in such a way as to define for each of said paths, an aggregation criterion value; and the selection of a subset of representative paths from among the list of the set of said paths, as a function of the value of the aggregation criterion of each of said paths and of the predefined analysis strategy.

8504465

13337616

1. A computer processor-implemented method to generate fuel offerings, comprising: determining, by a computer processor, a strike price and a premium price for a fuel offering based on a commodity offering pricing model; establishing, by the computer processor, a usage restriction for the fuel offering; providing the fuel offering for selection by a customer; receiving, at the computer processor, a selection of the fuel offering from the customer; and providing payment to the customer, in response to an exercise of a portion of the fuel offering by the customer, if the strike price is less than a retail price associated with the exercise and the usage restriction is satisfied.

8951484

13756121

1. A device for separating candidate cells from a carrier fluid, the device comprising: a separation channel to receive the carrier fluid having a first flow rate and to provide for an isolation fluid, wherein the separation channel is configured to deflect the candidate cells from the carrier fluid into the isolation fluid; and a capture stage coupled to the separation channel through a coupling stage, wherein the coupling stage comprises a plurality of progressive slow down stages each configured to reduce the flow rate of the incident isolation fluid and deflected candidate cells received by the respective slow down stage, and wherein the capture stage is configured to capture the deflected candidate cells over a sampling period.

20030034979

10212102

1. A method of generating poses and motions of a tree structure link system that is made by modeling of a man, animals, robots, etc., and consists of multiple links connected at joints, characterized in that by giving arbitary numbers of constraint conditions to arbitrary numbers of arbitrary links, or by allowing adding or canceling the constraint conditions arbitrarily in the middle of the generation, the poses and the motions of the tree structure link system satisfying these constraint conditions are generated.

9611462

14366761

1. A variant endoglucanase or enzymatically active fragment thereof comprising (a) an amino acid sequence at least 80% identical to the wild-type endoglucanase amino acid sequence of SEQ ID NO:3; and (b) an amino acid substitution introducing an amino acid other than phenylalanine at position 63, wherein the residue positions are numbered with reference to SEQ ID NO:2.

8812315

14043175

1. A method comprising: identifying an acoustic model, wherein the acoustic model is trained on native speech in a target dialect; transcribing collected speech from a speaker, to yield a lattice of plausible phonemes which depend on a property of the target dialect; and replacing a phoneme in the acoustic model with a modified phoneme, wherein the modified phoneme is a weighted sum of plausible phonemes in the lattice of plausible phonemes.

20100281053

12771313

1. A method for distributing a query, wherein the query comprises one or more sub-clauses, wherein each sub-clause comprises a triple pattern having three components for use with a distributed system, the method comprising: identifying each sub-clause; analysing three components of each sub-clause in accordance with one or more analysis rules in order to determine the proportion of values to variables; in response to the determination, testing the sub-clause against one or more execution rules, wherein the execution rules are associated with an order of processing of a sub-clause based on the proportion of values to variables; and in response to the testing, generating a sub-query associated with a first sub-clause having the largest proportion of values to variables.

20170340206

15682242

1. A system for providing dynamic gain over non-noise electrocardiographic data with the aid of a digital computer, comprising: a download station configured to execute code comprising: a value module configured to obtain a time series of a plurality of voltage values that comprises a digital representation of a raw electrocardiography (“ECG”) signal recorded by an ambulatory monitor recorder; a mark module configured to mark one or more segments of the ECG signal as noise, each of the segments comprising a plurality of the values, based on a difference between a maximum one and a minimum one of the values within that segment; and an analysis module configured to analyze further segments not marked as noise each of the segments comprising a plurality of the values, and to determine a gain factor for all of the values in the analyzed further segments based on the analysis.

8669056

13220174

1. A method to infer breed of a bovine subject from a nucleic acid sample of the bovine subject, comprising identifying in the nucleic acid sample, at least one nucleotide occurrence of at least one single nucleotide polymorphism (SNP) corresponding to position 300 of any one of SEQ ID NOS:1 to 4868 or SEQ ID NOS:64887 to 64895, wherein the SNP is associated with a breed, thereby inferring the breed of the bovine subject.

20040210426

10414811

1. A method comprising: generating a modular representation of a physical system using modules and variables, each module representing a portion of the physical system, each variable representing a parameter of the physical system; and generating code according to the modular representation, the code suitable to be compiled into a machine code that can be executed on hardware to simulate the system, the code containing instructions to cause the hardware to solve a system of differential algebraic equations (DAEs).

20090037874

12178875

1. A method for forming a workflow and an application program to implement, at least in part, said workflow, said method comprising the steps of: recording that a first computer program function is capable of implementing, at least in part, a first business process step; recording that a second computer program function is capable of implementing, at least in part, a second business process step; a user, with a graphical user interface of a computer system, forming a graphical representation of first and second business processes and an interconnection between said first and second business processes indicating that said first and second business processes are part of a workflow; said computer system displaying a list including said first and second business process steps as first and second respective instances of said second business process such that only one of said first and second business process steps is needed for said second business process in one instance of said workflow; and based at least in part on said graphical representation, the record of said first computer function being capable of implementing said first business process step and the record of said second computer function being capable of implementing said second business process step, said computer system forming an application program to perform, at least in part, said workflow, said application program including said first and second computer program functions configured such that only one of said first and second business process steps is needed for said second business process in one instance of said workflow, said application program enabling an operator to select either one of said first and second business process steps in said one instance of said workflow, and in response execute the respective one of said first and second computer program functions in said one instance of said workflow.

20150040136

14106022

1. A processor, comprising: a plurality of processor cores, each of which is arranged to perform processing tasks, and wherein at least one of the processor cores is of a different architecture than the other core(s); a scheduler that is arranged to receive task identifiers of respective processing tasks from a task queue and to allocate a selected core of the processor cores for each respective processing task received from the task queue; and a hint generator that is arranged to monitor one or more performance constraint parameters of the processor during operation of the processor and to generate a hint in response to the monitored one or more performance parameters, wherein the scheduler is arranged to allocate the respective processing task from the task queue to the selected core in response to the generated hint.

8374409

12519852

1. A method of processing a dataset, executable by a data processor, for reconstructing an image of an interior of a turbid medium using an image reconstruction algorithm, the dataset being obtained by detecting light emanating from a receiving volume as a result of coupling light from a light source into the receiving volume with the receiving volume comprising the turbid medium, the method comprising: changing the dataset into a further dataset satisfying an input assumption underlying the image reconstruction algorithm, the dataset having a measured trend as a function of a chosen variable, and the input assumption requiring the dataset to have a required trend as a function of the chosen variable, wherein changing the dataset into the further dataset comprises mapping the dataset onto the required trend; changing the further dataset into a contrast enhanced dataset by removing at least a part of the required trend from the further dataset; and communicating at least one of the further dataset and the contrast enhanced dataset to an image reconstruction unit for reconstructing the image using the image reconstruction algorithm.

8843527

13746146

1. A method comprising: receiving, by one or more processors, a scan request corresponding to a data table, wherein the data table includes a plurality of columns; selecting, by one of the processors, one of the plurality of columns that correspond to the scan request, wherein the selected column has a column width and includes a plurality of column data entries corresponding to the column width; selecting a bankwidth size, from a plurality of bankwidth sizes, based upon the column width, wherein the bankwidth size identifies a number of bit locations of each one of the one or more column data vectors; selecting, by one of the processors, a scan algorithm from a plurality of scan algorithms based upon the column width and the bankwidth size; loading, by one of the processors, one or more of the plurality of column data entries into one or more column data vectors; and computing, by one of the processors, one or more scan results using the selected scan algorithm and the one or more column data vectors.

7707005

11469855

1. A computer-implemented method comprising: employing a processor executing computer readable instructions to perform the following acts: sampling a population data set to derive a sample data set; creating a sample histogram based on the sample data set; scaling values of the sample histogram and deriving an estimate histogram representative of the population data set, wherein the scaling comprises scaling a number of distinct values associated with each bin of the sample histogram based on at least the following: determining whether the sample data set includes at least a pre-determined number of duplicate values relative to the population data set; determining whether the estimate of distinct values is less than a Chao estimator; setting the estimate of distinct values in the population data set equal to the number of distinct values observed in the sample data set when the sample data set includes at least the pre-determined number of duplicate values; and setting the estimate of distinct values in the population data set equal to the Chao estimator when the estimate of distinct values in the population data set is less than the Chao estimator, the Chao estimator being calculated according to the following equation: D = d + f 1 2 2 ⁢ f 2 , wherein D is indicative of the estimated number of distinct values in the population data set, d is indicative of the number of distinct values in the sample data set, f 1 is indicative of the number of values that appear exactly once in the sample data set, and f 2 is indicative of the number of values that appear exactly twice in the sample data set.

10008034

14058132

1. A method, including: identifying at a cloud network including a server computer one or more scenes to be rendered at a client device; identifying at the server computer of the cloud network indirect lighting associated with the one or more scenes; and performing at the server computer of the cloud network a computation of the indirect lighting utilizing voxels representing indirect irradiance for the one or more scenes as a directionally varying, low-dimensional quantity in a sparse hierarchical spatial partition; and sending data associated with the computation from the server computer of the cloud network to the client device to be used for rendering at the client device, including streaming the voxels to the client device for decoding thereof and use in rendering the one or more scenes.

7735831

12254174

1. A computer-readable medium having instructions stored thereon which are executable by a processing arrangement for performing functions comprising: accepting an initial commission from a player to enable the player to participate in a hand of a communal card poker game; facilitating submission of a wager by the player; calling the wager submitted by the player; determining a hand outcome based on a comparison of a resulting hand of the player and a resulting hand of dealer, each of the resulting hands comprising a subset of a set of cards including a plurality of community cards and a respective starting hand for the player and the dealer; providing a payout to the player if the player's resulting hand has a higher poker rank than the dealer's resulting hand; and retaining the player's initial commission.

5568400

07572534

1. A method for correcting signals representing input spectral data (X.sub.ki) derived from a sensor during a measurement, at least as to multiplicative errors, said method comprising the steps of: providing a first and primary reference spectrum signal (P.sub.ko) representing a predetermined standard for such data; providing at least one second reference spectrum signal (P.sub.ka or P.sub.kj); estimating coefficients for a selected appropriate model to be applied to said input data based on said first and second reference spectra signals; and correcting said signals representing said spectral data based on said estimated coefficients at least as to multiplicative errors for producing signals representing a linear additive structure for use in calibration, validation and determination by linear multivariate analysis.

20170048419

15307349

1. A system comprising: a memory to store instructions and initial color representations and a the processor to execute the instructions in the memory to: reference a database having a set of lexical color classifiers; transform each of at least a pair of initial color representations to color values associated with the set of lexical color classifiers; and generate a color similarity measure related to the at least a pair of initial color representations based on the color values associated with the set of lexical color classifiers.

7639714

10986447

1. A method, implemented on a processor, of detecting anomalous payloads transmitted through a network, comprising the steps of: receiving at least one payload within the network; determining, using the processor, a length for data contained in the at least one payload; generating, using the processor, a byte value statistical distribution of data contained in the at least one payload received within the network; selecting, using the processor, from a plurality of model byte value statistical distributions, a model byte value statistical distribution representative of normal payloads transmitted through the network based at least in part on the determined length, wherein the model byte value statistical distribution has a predetermined length range and is selected such that the determined length for the data contained in the at least one payload is included within the predetermined length range; comparing, using the processor, at least one portion of the generated statistical distribution to a corresponding portion of a selected model distribution; and identifying, using the processor, whether the at least one payload is an anomalous payload based, at least in part, on differences detected between the at least one portion of the byte value statistical distribution for the at least one payload and the corresponding portion of the selected model distribution.

20110119208

12618159

1. A computer-implemented method of developing a classifier, comprising: receiving input for a case, the case comprising a plurality of instances and an example, the example comprising a plurality of data fields each corresponding to one of the plurality of instances, wherein the input indicates which one, if any, of the plurality of instances includes a data field belonging to a target class; and training the classifier based, at least in part, on the input from the trainer.

20100079463

12534048

1. For use with a video game console of a type that is responsive to a handheld controller input to execute a video game program and provide interactive animated displays, a method of collecting and transforming profile data of performance measurements from the video game program and visualizing and interactively manipulating the transformed data to visually present a dynamic behavior of the video game program that shows correlation of impacts that functions have on performance of the executing video game program, the method comprising: collecting the profile data; displaying a list of one or more functions of the video game program in a Functions List window of a display based on the profile data, each displayed function in the Functions List window being user selectable; receiving user input selecting a function from the Functions List window; and displaying a function graph of the selected function in a Function Graph window based on the profile data, the function graph including a data line and a highlight band tracking the data line, the data line representing a graph of instantaneous performance values of the selected function, and a thickness of the highlight band representing a margin of error.

20130202104

12958273

1. A computerized method of performing XZ-elliptic curve cryptography, comprising the steps of: (a) a sending correspondent and a receiving correspondent selecting and agreeing upon an elliptic curve set EC 3 ; (b) the sending correspondent and the receiving correspondent further agreeing upon a random scalar k and a random shared secret key for communication E s , and agreeing upon a base point (X B ,Y B ,Z B )εEC 3 ; the sending correspondent then performs the following steps: (c) embedding a first secret message bit string into an elliptic curve message point (X m ,Y m ,Z m ); (d) computing a scalar multiplication between the base point (X B ,Y B ,Z B ) and the scalar k as (X Bk , Y Bk ,Z Bk )=k(X B ,Y B ,Z B ); (e) computing a cipher point (X c ,Y c ,Z c ) as (X c , Y c ,Z c )=(X m ,Y m ,Z m )+k(X B ,Y B ,Z B ); (f) embedding a second secret message bit string into a data transformation index E m ; (g) transforming the cipher point coordinates X c and Z c as {circumflex over (X)} C =X C E s and {circumflex over (Z)} C =Z C E m , respectively; (h) calculating a cipher transformation index E c as E c = E s E m ; (i) sending a set of appropriate bits of {circumflex over (X)} c , {circumflex over (Z)} c and E c to the receiving correspondent; the receiving correspondent then performs the following steps: (j) calculating the data transformation index E m as E m = E s E c ; (k) calculating the cipher point coordinates X c and Z c as X C ={circumflex over (X)} C E s −1 and Z C ={circumflex over (Z)} C E m −1 , respectively; (l) computing a scalar multiplication between the base point (X B ,Y B ,Z B ) and the scalar k as (X Bk , Y Bk ,Z Bk )=k(X b , Y B ,Z B ); (m) computing the elliptic curve message point (X m ,Y m ,Z m ) as (X m ,Y m ,Z m )=(X c ,Y c ,Z c )−k(X B ,Y B ,Z B ); and (n) retrieving the first secret message bit string from the elliptic curve message point (X m ,Y m ,Z m ).

20030055614

10051317

1. A method for optimizing a solution set for a problem comprising the sequential steps of: a) generating a first set of solutions comprising a plurality of members; b) creating a second set of solutions using a selection operator to select members from said first set of solutions; c) creating a probabilistic model fitting said second set of solutions, said probabilistic model allowing for multiple variables to be merged together to form a single new variable whereby hierarchically decomposable problems can be modeled; d) using said model to generate a third set of solutions; and, e) replacing at least a portion of said first set of solutions with said third set of solutions to create a new solution set.

8983805

13325885

1. A computer-implemented method for updating a 3D model, the method comprising: by a computer device with a processor, associated memory, and a graphical user interface, the processor: storing in the associated memory, a 3D model, said storing includes storing a history of the 3D model having undergone one or more operations and graphs linked to different points of the history; retrieving from the associated memory, at least two graphs of the stored graphs linked to the different points of the history, including: an old input graph of the 3D model before undergoing an operation of the one or more operations, and an old output graph of the 3D model corresponding to an application of the operation to the old input graph; generating a new input graph of the operation, wherein the new input graph is generated as a result of a modification of the 3D model, the modification being requested by a user via the graphical user interface; computing a double push-out rewriting rule that specifies: (i) a part of the old input graph to be replaced, (ii) a part of the new input graph to replace the part of the old input graph, and (iii) an interface which is a part common to the part of the old input graph, the part of the new input graph, and the old output graph, the rewriting rule corresponding to logical operations which are computed based on the old input graph, the old output graph, and the new input graph; and applying the rewriting rule directly on the old output graph, such that the old output graph is transformed to a new output graph that represents an updated state of the 3D model as updated by the modification.

20130185082

13691950

1. An audio encoder for providing an output signal using an input audio signal, comprising: a patch generator configured to generate at least one bandwidth extension high-frequency signal, wherein a bandwidth extension high-frequency signal comprises a high-frequency band, wherein the high-frequency band of a bandwidth extension high-frequency signal is based on a low frequency band of the input audio signal, and wherein different bandwidth extension high-frequency signals comprise different frequencies within their high-frequency bands, if different bandwidth extension high-frequency signals are generated; a comparator configured to calculate a plurality of comparison parameters, wherein a comparison parameter is calculated based on a comparison of the input audio signal and a generated bandwidth extension high-frequency signal, wherein each comparison parameter of the plurality of comparison parameters is calculated based on a different offset frequency between the input audio signal and a generated bandwidth extension high-frequency signal, and wherein the comparator is configured to determine a comparison parameter from the plurality of comparison parameters, wherein the determined comparison parameter fulfills a predefined criterion; and an output interface configured to provide the output signal for transmission or storage, wherein the output signal comprises a parameter indication based on an offset frequency corresponding to the determined comparison parameter, wherein at least one of the patch generator, the comparator and the output interface comprises a hardware implementation.

9911353

14621190

1. A method of generating an evaluation comprising: retrieving, by a processor of a computing device, student data from a user profile database, wherein the student data uniquely identifies each of a group of students in a course; retrieving, by the processor of the computing device, selection parameters, wherein the selection parameters identify a criteria for inclusion of one of the group of students in the course in a survey group, wherein the survey group is selected to complete a survey; comparing, by the processor of the computing device, at least one of the student data to the selection parameters; identifying, by the processor of the computing device, the survey group based on the comparison of the at least one of the student data to the selection parameters; receiving, by the processor of the computing device, survey data from the survey group; determining, by the processor of the computing device, attributes identified within the survey data; categorizing, by the processor of the computing device, the survey data according to the attributes identified within the survey data; selectively storing, by the processor of the computing device, portions of the survey data in a first tier or a second tier of a tiered memory according to the categorization of the survey data, wherein selectively storing portions of the survey data in the first tier or the second tier of the tiered memory comprises identifying a first portion of the survey data for use in real-time analysis and storing the first portion of the survey data for use in the real-time analysis in the first tier of the tiered memory, and wherein: the first tier comprises at least one of: tier 0 memory hardware or tier 1 memory hardware, the second tier comprises at least one of tier 1 memory hardware or tier 2 memory hardware, and the second tier comprises relatively slower memory hardware than the first tier; generating, by the processor of the computing device, an analysis recommendation from the portions of the survey data stored in the first tier of the tiered memory; and providing, by the processor of the computing device, a change report based on the generated analysis recommendation.

8527316

10113490

1. A method for mitigating risk to a program of a firm, said method comprising: identifying, by an identifier, strategic intent items of said firm; changing, by a changer, a consequence chart to comprise said strategic intent items; identifying, by the identifier, expectations of said program; selecting, by a manager, strategic intent items that correlate to said program expectations, thereby creating correlating strategic intent items; integrating, by an assessor, said program expectations with said correlating strategic intent items to create a first failure definition; redefining, by the changer, said consequence chart to comprise said first failure definition wherein said program is divided into phases; identifying, by the identifier, expectations of each said program phase; selecting, by the manager, strategic intent items that correlate to each said program phase expectations, thereby creating correlating phase strategic intent items; integrating, by the assessor, each said program phase expectations with said correlating phase strategic intent items to create a second failure definition; and redefining, by the changer, said consequence chart to comprise said second failure definition wherein said failure definition comprises an inverse of said expectations.

20080300109

11754565

1. A system that facilitates activity management, comprising: an activity preparation component that incorporates a predefined regimen of activity into a configuration indicia; and an activity information management component that interprets the configuration indicia and calibrates an apparatus as a function of the regimen; wherein an entity employs the apparatus to engage in the regimen.

8929615

13288825

1. A method comprising, by one or more computing systems: extracting one or more features from a photo; calculating an engagement metric for the photo based on the one or more extracted features, wherein the engagement metric represents the probability that one or more users will interact with the photo; and applying one or more policies to the photo based on the engagement metric.

20060005199

10881784

1. A method comprising: calculating an exit-enter time (EET) to exit and enter a context and a save-restore time (SRT) to save and restore a machine state; executing a selective algorithm that saves and restores the machine state on selected context changes and accumulating statistics for an expected value for EET overhead and an expected value for SRT overhead while executing the selective algorithm; computing a cost of the selective algorithm using the expected value for EET overhead and the expected value for SRT overhead; comparing the cost of the selective algorithm to two times SRT which is the cost of an unconditional algorithm that always saves and restores the machine state on context changes; and selecting one of the selective algorithm or the unconditional algorithm having the least cost as a virtualization algorithm to virtualize context changes.

8930171

13343753

1. A computer-implemented method of modeling spatial correlations among a set of devices, the method comprising: assigning a set of physical coordinates to each device in the set of devices; representing one of a process parameter or an electric parameter for each device as a sum of at least two stochastic terms, wherein the at least two stochastic terms are chosen to satisfy the spatial correlations, wherein each of at least two stochastic terms is a product of a random variable and at least one trigonometric function; simulating formation of the set of devices using the physical coordinates and the at least one of the process parameter or the electric parameter; and obtaining statistical properties of the set of devices from the simulation.

8589845

12624395

1. A circuit design data path optimization method comprising: using a computer to perform the acts of: determining combinational slack for registers in the circuit design; determining sequential slack for at least some of the registers of the design; wherein the act of determining includes obtaining a limit upon clock cycle duration applicable to the circuit design; and wherein the act of determining further includes determining as the sequential slack, an amount of delay that is not greater than each individual maximal limit of delay for each individual structural cycle of which the respective register is a constituent, based upon a clock cycle duration that is not greater than the obtained limit upon clock cycle duration; using combinational slack to analyze at least one of an input or an output combinational logic path of a register in the design; using sequential slack to analyze at least one structural cycle that includes a register in the design; and optimizing the design based upon the analyses.

5504898

08261795

1. A method of operating an AS/400 computer system, comprising the steps of: applying each of a plurality of asynchronous thread tasks from an application as an input to each of a plurality of thread related batch jobs; operating each such thread related batch job to perform the thread task applied thereto and produce return data associated with each said thread task; applying the return data from each such thread related batch job to a single, common queue; and causing the application to wait on the common queue to sequentially retrieve the return data from each of said thread tasks therefrom.

20120303411

13115748

1. A computer-implemented method for demand modeling and prediction for a set of products in a retail category, the method comprising: obtaining aggregated sales data in a retail category, said aggregated sales data comprising a combination of: a first sales data set having a time series of unit-prices and unit sales for a set of designated products in a product set from said retail category, said time series data being provided over a sequence of sales reporting periods from one or more retail stores; and, a second sales data set including data associated with attributes of a product in said first sales data set; generating a model for price movements and price dynamics from said time series data of unit-prices in the aggregated sales data; generating a model for market share of each said product in the retail category using the aggregated sales data and said integrated additional product attribute data; generating a model for an overall market demand in the retail category from the aggregated sales data; and, obtaining a predicted demand for one or more said products in the designated product set in retail category by combining the models for said price movements and price dynamics, said market share, and said overall market demand, wherein a programmed processor device performs said obtaining, said generating a price movement model, said generating a market share model, said generated overall market demand and said combining.

8346914

12339961

1. A method for electronic prognostication for a computer system, the method comprising: monitoring a performance parameter in a set of performance parameters from a set of computer systems that includes at least two computer systems, wherein monitoring the performance parameter includes systematically monitoring and recording the set of performance parameters from computer systems in the set of computer systems, and wherein the recording process keeps track of the temporal relationships between events in different performance parameters in the set of performance parameters; generating a training data set based on the performance parameter monitored from the set of computer systems, wherein generating the training data set includes concatenating two or more time-series of the performance parameter by appending each time-series from the two or more time-series to an end of a previous time-series from the two or more time-series, wherein each of the two or more time-series is obtained from a different computer system in the set of computer systems; training the pattern-recognition model using the training data set; using the pattern-recognition model to look for anomalies in performance parameters gathered during normal operation of a target computer system; and generating an alarm when the pattern-recognition model detects an anomaly in the performance parameters from the target computer system.

9927356

15074840

1. A system for detecting airborne materials in a 3-dimensional envelope, comprising: a laser diode driver assembly; a modulator assembly operatively coupled to said laser diode driver assembly for conditioning and modulating light emitted by said laser diode driver assembly; a scanning array for directing the conditioned and modulated light to the 3-dimensional envelope; an optical observation device for collecting backscatter radiation signals from the 3-dimensional envelope; a detection array for receiving the collected backscatter radiation signals; and a signal analysis subsystem for analyzing the backscatter radiation signals using a machine learning algorithm to identify at least one feature of an analyte in the 3-dimensional envelope.

9020941

13402516

1. A method of geocoding a multi-feature address, comprising: (a) receiving an address term comprising a region and a feature; (b) splitting the address term into the region and the feature, the feature including two or more components; (c) splitting the feature into two or more separate components, wherein each separate components includes at least one component, and each separate component is different from each other separate component, and for each separate component from the feature, determining a respective component geocode representing a location of a component and an associated component confidence score, the determining comprising: (i) determining at least one geocode based on the region and the component, (ii) determining the respective component geocode representing the location of the component based on the at least one geocode determined in (i), and (iii) determining a component confidence score for the respective component geocode inversely related to a number of geocodes determined in (i) for the component; and (d) selecting an address geocode representing a location of the address term as the component geocode determined in (c)(ii) according to the corresponding component confidence score determined in (c)(iii), wherein steps (a)-(d) are each performed on at least one computing device.

20150161474

14565342

1. An object data processing system comprising: a plurality of diverse recognition modules stored on at least one non-transitory computer-readable storage medium, each recognition module comprising at least one recognition algorithm and having feature density selection criteria; and a data preprocessing module executed by at least one processor, the data preprocessing module comprising an invariant feature identification algorithm and configured to: obtain a digital representation of a scene; generate a set of invariant features by applying the invariant feature identification algorithm to the digital representation; cluster the set of invariant features into regions of interest in the digital representation of the scene, each region of interest having a region feature density; assign each region of interest at least one recognition module from the plurality of diverse recognition modules as a function of the region feature density of each region of interest and the feature density selection criteria of the plurality of diverse recognition modules; and configure the assigned recognition modules to process their respective regions of interest.

20070192747

11347399

1. An apparatus for display and analysis of chemical structures, comprising: a computing device, said computing device further comprising an operating system, chemical reaction software, graphical interface software, a plurality of types of memory and means for interfacing the computing device to a plurality of external devices; a display configured to provide icon fields; a touch-sensitive display area and stylus for the graphical input of chemical information; a plurality of shortcut keys; and a navigation toggle button configured to provide easy access to the software and to control the selection of various items on the touch screen display, wherein the computing device is configured to control the software, display, plurality of shortcut keys, and navigation toggle in completing and analyzing a chemical reaction entered on the display.

9659239

14850516

1. A machine learning device comprising: a processor and a memory storing a program which is executable by the processor to perform operations comprising: acquiring n learning contents (n is a natural number larger than or equal to 2) with a label to be used for categorization; acquiring a feature vector from each of the n learning contents; converting the feature vectors for the n learning contents to similarity feature vectors based on similarity degrees between the learning contents; learning a classification condition for categorizing the n learning contents based on the similarity feature vectors and the label assigned to each of the n learning contents; and categorizing a testing content to which the label is not assigned, in accordance with the learned classification condition; wherein the labels are for categorizing the n learning contents into a plurality of categories; wherein the processor learns a function for linear separation as the classification condition in order to classify n points in a vector space determined by the similarity feature vectors of the n learning contents into the plurality of categories, based on the labels assigned to the n learning contents; and wherein the processor classifies the testing content into one of the plurality of categories in accordance with the function.

9128984

12364107

1. A computer-implemented system comprising: a processor; and logic stored in memory, the logic executable by the processor to evaluate a selected query plan in comparison to a plurality of alternative query plans over a predetermined range of runtime conditions comprising data characteristics, the logic via the processor producing a set of performance measurements and analyzing the measured performance to map performance of the selected query plan in comparison to performance of at least one alternative query plan over the predetermined range of runtime conditions, wherein the logic via the processor identifies landmarks at specific runtime conditions indicative of selected query plan performance that is degraded greater than a selected amount in comparison to an alternative query plan performance.

20050278680

11152924

1. An automated software tool for implementing a functional task in a hybrid FPGA network that includes at least one field programmable gate array and at least one processor, at least one memory, or at least one processor and at least one memory, the automated software tool adapted to carry out the steps of. scheduling portions of a functional task in a time sequence; partitioning a plurality of elements of the hybrid FPGA network by allocating or assigning network resources to the scheduled portions of the functional task; mapping the partitioned elements into a physical hardware design for implementing the functional task on the plurality of elements of the hybrid FPGA network; and iteratively repeating the scheduling, partitioning and mapping steps to reach an optimal physical hardware design.

20110055621

12549847

1. A method for replicating data based on capacity optimization, said method comprising: a local node receiving the data in an extent configured for a system, the extent being associated with a key for indexing, wherein the system comprises at least one domain coupled to a communication network, wherein each domain of said at least one domain comprises at least one node and a respective distributed hash table (DHT) for said each domain, wherein each node of said at least one node comprises a respective storage array storing respective primary data and respective replicas of selected data stored in the respective primary data of said at least one node; determining, by a processor of a computer in which the local node operates, that the received extent does not exist in primary data of the local node; querying said at least one domain in the system for a duplicate of the extent by use of the respective DHT for said each domain such that only a respective owner node is queried for the duplicate of the extent within said each domain, wherein the respective owner node of said each domain owns a key range in which the key associated with the extent falls in; determining a replication strategy based on factors and a result from said querying, wherein said replication strategy is selected from the group consisting of establishing replica relationship among existing duplicates, creating a new remote duplicate, and creating a new local duplicate; and recording the extent into said primary data of the local node by updating a local hash table and extent metadata of the local node.

9164785

13418879

1. A computer-implemented method of predicting a performance of a consolidated virtualized computing environment, comprising: generating, by one or more processors, a plurality of traces by processing benchmark workloads using a plurality of virtual machines, each trace being collected inside a respective virtual machine and comprising data corresponding to requests issued by the respective virtual machine operating in an isolated environment, the data comprising a block size of each request; storing, by one or more processors, the plurality of traces in one or more trace repositories, each trace repository provided as a computer-readable storage medium; selecting, by one or more processors, a trace from the plurality of traces stored in the one or more trace repositories; performing, by the one or more processors, one or more pre-processing operations on the trace, the one or more pre-processing operations comprising splitting at least one request comprising a respective block size that exceeds a threshold block size, a total amount of splitting the at least one request being determined from a ceiling function applied to a remainder of a division of the at least one request based on the threshold block size; parameterizing, by one or more processors, a queuing model based on the trace and the one or more pre-processing operations, 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.

20040225520

10747042

1. A score calculating program which causes a computer to perform: a step of extracting factors contained in requested data for which score calculation is requested, a step of specifying a plurality of cases corresponding to combinations of the factors and obtaining the number of samples corresponding to each case from a storage device, a step of calculating a fraud score from the number of samples for each case, and a step of specifying a result of score calculation using at least one of the scores calculated for each case.

8863128

13236550

1. A computer-implemented method for optimizing a task graph that delineates a plurality of tasks to be evaluated in a parallel processing environment, the method comprising: generating a first task aggregation topology associated with the task graph that divides the plurality of tasks into a first collection of sets, wherein each set in the first collection of sets includes one or more tasks from the plurality of tasks, each task of the plurality of tasks belongs to only one set included in the first collection of sets, and the first task aggregation topology comprises a bit mask that indicates two or more tasks of the plurality of tasks that are included in a first set in the first collection of sets; compiling the plurality of tasks according to the first task aggregation topology to generate units of work to be executed in the parallel processing environment, wherein the two or more tasks included in the first set are compiled to generate a single unit of work that is executed by a first processing engine included in the parallel processing environment; collecting statistics associated with executing the units of work in the parallel processing environment; and determining whether the first task aggregation topology is more efficient in execution than any previously-defined task aggregation topology based on the statistics; and if the task aggregation topology is more efficient in execution than any previously-defined task aggregation topology, then selecting the first task aggregation topology as the most optimal task aggregation topology, or if the first task aggregation topology is not more efficient in execution than any previously-defined task aggregation topology, then selecting a second task aggregation topology as the most optimal task aggregation topology.

9760990

14738497

1. A method for a cloud-based feedback-driven image training and recognition, comprising the steps of: receiving a set of expert annotations of a plurality of training images of a predetermined subject matter, wherein the expert annotations include a clinical diagnosis for each image or region of interest in an image; training one or more classification models from the set of expert annotations; testing the one or more classification models on a plurality of test images that are different from the training images, wherein each classification model yields a clinical diagnosis for each image and a confidence score for that diagnosis; and receiving expert classification result feedback regarding the clinical diagnosis for each image and a confidence score yielded by each classification model, wherein the expert classification result feedback comprises receiving a re-annotated classified image, wherein the classification model is retrained using the re-annotated classified image, and wherein the steps of training one or more classification models and testing the one or more classification models on a plurality of test images are performed on a public cloud service platform.

20030191732

10118553

1. An online learning method for a decision system having a learning model comprises the following steps: (a) Collecting a plurality of objects during operation of the decision system; (b) Applying an online learning qualifier to the collected plurality of objects to obtain at least one qualified object; (c) Updating the decision system using the at least one qualified object.

7831325

11108247

1. A method comprising: receiving, by one or more processors, user input regarding a target system on which a software application is to be deployed; matching, by the one or more processors, a benchmark system from plural candidate benchmark systems to the target system, wherein the matching is based on comparing each of the candidate benchmark systems to the target system that includes at least one of: comparing a processor type of each candidate benchmark system with a processor type of the target system; comparing a processor speed of each candidate benchmark system with a processor speed of the target system; comparing a number of CPUs per node of each candidate benchmark system with a number of CPUs per node of the target system; and comparing a number of nodes of each candidate benchmark system with a number of nodes of the target system; and computing, by the one or more processors, an estimated performance of the software application on the target system based on scaling of performance of the matched benchmark system to the target system, wherein computing the estimated performance of the software application on the target system is further based on an application complexity factor, wherein the application complexity factor is based on a relationship of at least one of workload complexity and source code efficiency of the software application to a benchmark software application.

20160154921

14146770

1. A method, in a data processing system, for validating overall resilience and security characteristics of a sub-component chip design, the method comprising: for each instance of a resiliency template identified as appearing in a design netlist of the sub-component chip design thereby forming one or more identified resiliency sections of the design netlist, determining whether an output of the design netlist where an error signal is output interconnects to the one or more identified resiliency sections of the design netlist; responsive to the one or more identified resiliency sections of the design netlist interconnecting to the output of the design netlist where the error signal is output, marking the one or more identified resiliency sections of the design netlist as being protected by the error signal; and outputting an identification of the one or more identified resiliency sections of the design netlist and an identification of the error signal protecting the one or more identified resiliency sections of the design netlist to a design team of a larger chip design where the sub-component chip design is to be integrated.

20080178145

11624438

1. A method for use in software development, comprising: receiving, for a software project, a plurality of parameters indicative of one or more peer reviews for the software project; and generating a predictive analysis of the performance of the one or more peer reviews based on the parameters.

20020098496

09939119

1. An array of oligonucleotide probes for detecting a polymorphism in a target nucleic acid sequence using Principal Component Analysis, said array comprising at least one detection block of probes, said detection block including a first group of probes that are complementary to said target nucleic acid sequence except that the group of probes includes all possible monosubstitutions of positions in said sequence that are within n bases of a base in said sequence that is complementary to said polymorphism, wherein n is from 0 to 5, and a second and third group of probes complementary to marker-specific regions upstream and downstream of the target nucleic acid sequence, wherein the third group of probes differs from the second set of probes at single bases corresponding to known mismatch positions.

6074312

08922886

1. A method for processing golf information, comprising: providing a card having golfer information relating to a particular golfer including posted scores used in the calculation of a current handicap index; providing a local processing unit having calculation information for calculating an updated handicap index, wherein the calculation information includes slope and course rating information for a plurality of golf courses, including golf courses remotely located from the local processing unit; transferring the golfer information from the card to the local processing unit; entering a score for a completed round of golf into the local processing unit along with an indication of a golf course where the score was obtained; and computing with the local processing unit an updated handicap index based at least in part on the entered score and the slope and course rating associated with the golf course.

20030233350

10188370

1. A method for classification of electronic catalog entries into one or more categories, comprising the steps of: training the catalog classification system in at least one language with the help of pre-classified training catalogs, classifying the said catalog entry into top most relevant categories in the said category hierarchy, assigning a confidence value to each of the said classified catalog entry, and automated sampling of the said classified catalogs for quality assurance.

9582565

15067454

1. A method for classifying a uniform resource locator (URL), the method comprising: configuring a bloom filter to identify a pre-determined set of URL categories; programming the bloom filter with a set of URLs, each URL in the set of URLs belonging to a respectively corresponding URL category of the pre-determined URL categories; extracting a second URL in-line with a data transmission from a network packet stream; determining a set of hash strides for the second URL; querying the bloom filter with each hash stride of the set of hash strides, the querying being performed in a data plane; identifying a sub-set of categories from the pre-determined set of URL categories, the sub-set of categories being URL categories that correspond to the second URL; determining a first URL category based, at least in part, on a programmable mapping table that defines the sub-set of URL categories as the first URL category; and reporting the first URL category as a classification of the second URL in human-readable form.

9678824

14933380

1. A computer-implemented method for evaluating a durability and an availability of a distributed storage system, the method comprising: receiving a configuration of the distributed storage system; identifying a failure model for each type of component of the distributed storage system; generating a series of failure events for each type of component of the distributed storage system based on the failure model; calculating, by a processor, a recovery time for each failed component based on a network recovery bandwidth for the distributed storage system, a disk recovery bandwidth for the distributed storage system, a total capacity of simultaneous failed storage devices and a resiliency scheme used by the in the distributed storage system; collecting data regarding the series of failures and the recovery times; calculating, by the processor, an observed distribution of component failures from the collected data; and calculating, by the processor, the availability and the durability of the distributed storage system based on the observed distribution of component failures.

20050171926

10768675

1. A method for recognizing information from an information source comprising the steps of: determining portions of information from a first ambiguous information source; determining portions of context information from a second information source temporally associated with the portions of information from the first information source; determining at least one recognition model based on the portions of information from the first information source and the temporally associated portions of context information from the second information source; determining output information based on at least one of the determined recognition models.

7636675

10632799

1. A computer-implemented method for generating an optimized auction commodity distribution plan for a predetermined number of present auction commodity products, the method comprising the steps of: performing one or more elasticity computations for one or more past auction commodity products sold at one or more physical auction sites; generating, with a processor, an auction forecast price for each of said predetermined number of present auction commodity products to be auctioned at said one or more physical auction sites using said one or more elasticity computations, wherein each of said present auction commodity products and said past commodity products have an associated commodity model type and a commodity model year; and generating, with said processor, an optimized auction commodity distribution plan for said predetermined number of present auction commodity products using said generated forecast price for distributing each of said predetermined number of present auction commodity products to one of said physical auction sites prior to auctioning said present auction commodity product at said auction site.

10106850

15683252

1. A method for detection of genetic variation in two or more members of a population, comprising: amplifying nucleic acid fragments of at least a first and second member of a population to obtain amplified nucleic acid fragments, wherein the amplified nucleic acid fragments of the first member of the population comprises sequences from a nucleic acid sample of the first member of the population and a first unique identifier sequence, wherein the amplified nucleic acid fragments of the second member of the population comprises sequences from a nucleic acid of the second member of the population and a second unique identifier sequence, and wherein the first and second unique identifier sequences indicate different sample origins of the nucleic acid fragments; sequencing a pool of the amplified nucleic acid fragments using high throughput sequencing technology; clustering the sequences of amplified nucleic acid fragments of the first and second members of the population and comparing the clustered sequences to a reference sequence to identify genetic variation; and identifying the first and second member of the population as carrying the genetic variation using the first and second unique identifier sequences.

20130124525

13678078

1. A method, including: receiving data records, the received data records each including one or more values in one or more fields; and processing the received data records to identify a matched data cluster to associate with each received data record, the processing including: for selected data records from the received data records, generating a query from the one or more values included in the selected data record; identifying one or more candidate data records from the received data records using the query; determining whether or not the selected data record satisfies a cluster membership criterion for at least one candidate data cluster of one or more existing data clusters containing the candidate records; and selecting the matched data cluster from among one or more candidate data clusters based at least in part on a growth criterion for the candidate data clusters, or initializing the matched data cluster with the selected data record if the selected data record does not satisfy a cluster membership criterion for any of the existing data clusters or based on a result of the growth criterion.

20030191641

10237162

1. A method for estimating noise in a noisy signal, the method comprising: dividing the noisy signal into frames; determining a noise estimate for a first frame of the noisy signal; determining a noise estimate for a second frame of the noisy signal based in part on the noise estimate for the first frame; and using the noise estimate for the second frame and the noise estimate for the first frame to determine a second noise estimate for the second frame.

10067861

15047914

1. A method comprising: receiving, via a processor, a model having a set of model elements, a test case that produces an expected response when run on the model, and one or more suspect elements, the model corresponding to an application; calculating, via the processor, a relevance score for each model element of the set of model elements based on the one or more suspect elements; setting, via the processor, a threshold reduction score governing reduction of the model; generating, via the processor, a reduced model by reducing the set of model elements based on the relevance scores and the threshold reduction score; evaluating, via the processor, the reduced model based on the test case; determining, via the processor, that the reduced model does not reproduce an expected behavior when running the test case; rolling back a model element into the reduced model to produce a revised model; responsive to the revised model not reproducing the expected behavior, performing a rollback refinement of the revised model based on a number of model elements rolled back into the reduced model; and generating, via the processor, a modified application by modifying the application associated with the model based on the revised model.

8620834

12794150

1. A computer implemented method using a computing device with a processor and memory having instructions stored thereon which are executed by the processor to perform a method, comprising: receiving, via a communication link, multiple cycle lengths from a combination of cycles of seasonal effects that are identified in time series data; using a time domain analysis of the time series data to build a model; and using the model to predict future events or future data points.

20120072876

13174531

1. A method for reducing X-pessimism, the method comprising: identifying a set of reconvergent inputs of a combinational block in a gate-level design; and in response to determining that the combinational block is expected to exhibit X-pessimism during gate-level simulation, adding, by computer, a correcting block to the gate-level design, wherein an output of the combinational block or the correcting block is selected based on the values of the set of reconvergent inputs.

20050065899

10666754

1. A method comprising: obtaining a set of training data having associated summaries; using the set of training data and associated summaries to generate a key feature generation model; obtaining another set of training data having associated categories; mapping, using the key feature generation model, the other set of training data to a set of vectors; and training a data classifier based on the set of vectors and the associated categories.

10075818

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.

20150120786

14295334

1. A system for data aggregation and representation, comprising: a data aggregator; a visualization engine; and an interaction manager; wherein the data aggregator presents data to the visualization engine; wherein the visualization engine produces representations of data for viewing by a human user; and wherein the interaction manager handles interaction from the human user.

20100262574

12422746

1. A graph search method comprising: generating an ordered decision tree structure to represent the set of search frontier nodes with internal nodes of the decision tree corresponding to decision nodes operative to perform tests on state variables, and the leaf nodes corresponding to nodes in a search frontier; performing depth-first traversal in the ordered decision tree structure to order node expansions such that a node to be expanded next is a close neighbor of a current node; and, deriving an intermediate graph of the selected node by modifying the intermediate graph of the current node.

20090300165

12130284

1. A method of performing a sequence-of-events analysis in a power monitoring system, the method comprising the acts of: monitoring messages sent by at least one publisher over a network; receiving at least one of the monitored messages; analyzing the at least one received message, the act of analyzing including at least one of performing statistical analysis or scanning for an event of interest; and storing a first record.

20080040704

11893250

1. A server for facilitating a creation of a simulation model for a complex enterprise software solution, wherein the server communicates with clients via a distributed computing network, and wherein the server comprises: (a) a memory storing an instruction set and data related to the simulation model; and (b) a processor for running the instruction set, the processor being in communication with the memory and the distributed computing network, wherein the processor is operative to: (i) present a text canvas that includes a table to represent a solution to a request for software code that addresses a problem such that an editor is able to modify text of the table; (ii) present a text canvas (ADT) that includes a table to represent individual end-users of a solution to a request for software code that addresses a problem such that an editor is able to modify text of the table; (iii) present a text canvas (FDT) that includes a table to represent individual functional features of a solution to a request for software code that addresses a problem such that an editor is able to modify text of the table; wherein the canvases are related to form a conceptual construct such that a modification to one canvas is promulgated to at least one other canvas within the conceptual construct so that the editors effectively communicate together while using the corresponding canvas.

20120124318

12944682

1. A method for configuring a memory subsystem of a computing system, the method comprising: expressing at least one performance metric of the computing system as an explicit function of configuration parameters of the memory subsystem and workload parameters of the memory subsystem, the computing system hosting applications that utilize the memory subsystem; identifying a performance goal for the computing system, the performance goal comprising values for the performance metrics; using the values for the performance metrics in the explicit function of performance metrics, configuration parameters and workload parameters to calculate values for the configuration parameters that achieve the identified performance goal; and implementing the calculated values of the configuration parameters in the memory subsystem.

20130144819

13757013

1. A computer-implemented method comprising: receiving initial training data, the initial training data comprising initial training records, each initial training record identifying input data as input and a category as output; generating a first trained predictive model using the initial training data and a training function; generating intermediate training records by inputting input data of the initial training records to a second trained predictive model, the second trained predictive model generated using the training function, each intermediate training record having a score; and generating a score normalization model using a score normalization training function and the intermediate training records.

9351668

12577690

1. A glucose sensor system for monitoring glucose concentration in a biological sample of a host, the system comprising: a continuous glucose sensor configured to produce sensor data indicative of a host's glucose concentration, wherein the continuous glucose sensor comprises a sensing region and a sensing membrane located over the sensing region, and wherein at least a portion of the glucose sensor is configured for transcutaneous implantation; and an electronics module configured to receive sensor data from the continuous glucose sensor, the electronics module comprising a processor configured to process sensor data received from the continuous glucose sensor for a first time period so as to generate real-time glucose readings from the sensor data, to detect an approaching clinical risk based at least in part on an acceleration of the host's glucose concentration, and to determine a possibility of avoiding the approaching clinical risk, wherein the electronics module delays activation of an alarm when the possibility of avoiding the approaching clinical risk is determined.

20100158396

12344018

1. A method for a feature decomposition to be executed on a computing device, the method comprising: decomposing the features into one or more groups, wherein the groups are determined according to a minimum dependence; and constructing a sub-metric for each of the groups.

9053185

13460469

1. A computerized method of generating a representative model for a plurality of different models identified by similar feature data, the method comprising: receiving, by a processing circuit, a first model and a second model, each of the first model and the second model configured for use in identifying a second set of network user identifiers as similar to a first set of network user identifiers; identifying, by the processing circuit, feature data associated with each of the first model and the second model, each feature data having a corresponding weight data; selecting a network user identifier pool including a plurality of network user identifiers, a subset of the network user identifier pool including at least one network user identifier that is included in at least one of the second set of network user identifiers identified by the first model or the second model and at least one network user identifier that is not included in the at least one of the second set of network user identifiers; determining, for each model of the first model and the second model, from the network user identifier pool, a network user identifier identified as similar to the first set of network user identifiers of the model; determining an overlap between positive predictions and negative predictions of the first model and the second model, a positive prediction between the first model and the second model occurring when each of the first model and the second model identifies a network user identifier from the network user identifier pool as a similar network user and a negative prediction between the first model and the second model occurring when either the first model identifies a network user identifier from the network user identifier pool that is not identified by the second model or the second model identifies a network user identifier from the network user identifier pool that is not identified by the first model; calculating, for the first model and the second model, a degree of overlap between the positive predictions and the negative predictions; identifying, by the processing circuit, that the first model and the second model are similar responsive to determining that the degree of overlap is greater than a threshold value; and generating, by the processing circuit, the representative model to represent the first model and the second model, the representative model configured for use in generating a second set of network user identifiers associated with the representative model based on a first set of network user identifiers associated with the representative model.

20080048830

11862394

1. A method of creating data for locating one of a plurality of items in a facility, comprising: using a first set of bar codes to determine item identity for each of the plurality of items; and using a second set of bar codes to determine the location of at least one of the plurality of items, wherein the second set of bar codes are physically located on portions of the facility.

8065261

12081352

1. A method of comparing a plurality of decision options, said method implemented on a computing device programmable to perform the steps comprising: entering a plurality of factors; determining a plurality of decision options based on the plurality of factors through a search of a database by an engine; calculating a numeric value for the plurality of factors based on the plurality of factors received, the plurality of decision options determined and the information obtained from the search of the database; calculating a weighted score for each factor of each decision option; ranking each decision option based on the total score of each factor; and outputting the rankings for each decision option.

7962430

11980240

1. A system for facilitating user thinking about and searching for information regarding an arbitrary problem, comprising: processor executable instructions embodied in at least one computer readable media, memory, or computer readable device, or a combination thereof, said instructions comprising: instructions to facilitate, based on an archetype structure or archetype process for exemplary problem solving or both, at least one specification of at least one user model or specification regarding an arbitrary problem, comprising at least one problem or at least one conclusion, or both, and at least one specification of knowledge; instructions to determine at least one related search argument, suggested inquiry area, suggested inquiry construct, constructed inquiry construct, or a combination thereof; instructions to display, instructions to store or instructions to output at least one of at least a subset of the user specification, suggested inquiry area, suggested inquiry construct, constructed inquiry construct or a search argument, or combination thereof.

8869095

13109952

1. A software development system, comprising: a development board including an interface and a target processor; a sensor board coupled to the development board through the interface, the sensor board including multiple sensors; memory storing application program code and a software library, which, when executed by the target processor, causes the target processor to perform the operations comprising: receiving a request from the application program for sensor data; identifying a sensor of the multiple sensors for providing the requested sensor data; identifying a dedicated driver in a driver layer for the identified sensor; determining whether the application program is requesting raw or processed sensor data; if the application program is requesting processed sensor data: requesting raw sensor data from the identified driver; receiving the requested raw sensor data from the identified driver; sending the raw sensor data to a function of the software library; processing, by the function of the software library, the raw sensor data to generate the requested processed sensor data; and providing the processed sensor data to the application program; and if the application program is requesting raw sensor data: requesting raw sensor data from the identified driver; and providing the raw sensor data to the application program.

20120303505

13570120

1. A method comprising: estimating, by a computer-based system for developing a credit score, credit-related data of a consumer using an amount of identified balance transfers of the consumer and a model of consumer spending patterns, and wherein the computer-based system comprises a processor and a tangible, non-transitory memory; offsetting, by the computer-based system, an identified balance transfer from the estimated credit-related data; and determining a credit score for the consumer by using the estimated credit-related data.

7698124

11014503

1. A machine translation system for translating a source language text fragment to a target language text fragment, comprising: a decoder configured to receive as an input, a source language dependency tree, indicative of syntactic dependencies in the source language text fragment, and a plurality of matching treelet translation pairs, each of the matching treelet translation pairs matching at least a portion of the source language dependency tree, the decoder generating a target language dependency tree, indicative of the target language text fragment, based on the source language dependency tree and the matching treelet translation pairs by scoring different combinations of target language portions of the matching treelet translation pairs with a log-linear combination of statistical models, wherein the statistical models comprise an order model and a channel model, wherein a language dependency tree has a plurality of different levels, each level having one or more nodes that represent language words, a structure of the language dependency tree indicating whether a language word represented by a given node on one level is ordered before or after a language word represented by a node from which the given node depends, wherein the order model statistically calculates a score for different orders of the target language words on each individual level of the target language dependency tree to statistically predict an order of dependency of the target language words on each individual level of the target language dependency tree, relative to an ancestor word represented by a node from which the target language words depend in the target language dependency tree; wherein the decoder is configured to generate the target language dependency tree using matching treelet translation pairs having a plurality of different sizes; wherein the decoder is configured to rank the treelet translation pairs first by size, then by the channel model score and then by another model score; and wherein the decoder is configured to only keep the top ranked translation pairs with the same input node; and a computer processor being a functional component of the system and activated by the decoder to facilitate generation of the target language dependency tree.

8156502

11760635

1. A method of allocating computer resources to workloads comprising: monitoring utilization of computer resources by workloads and/or components of workloads to generate utilization data of one or more computer resource types as a function of time; classifying said workloads into demand types as a function of said utilization data; planning an allocation of said computer resources to said workloads in part as a function of the demand types of said workloads; implementing said allocation; and wherein said workloads are grouped into demand-type groups, said demand-type groups are assigned to partitions and said implementing involves transferring resources into or out of said partitions.

20150261922

14717563

1. A method of treating a patient, comprising: receiving pre-operative data regarding a patient, the pre-operative data including at least one of pre-operative pain data, pre-operative range-of-motion data, and pre-operative level-of-activity data; collecting data from a force sensor embedded in a device inserted into a joint of the patient, the force sensor being configured to sense a force acting on the device; devising a plan based at least in part upon the collected data; receiving post-operative data regarding the patient following performance of a surgical procedure on the patient that was performed at least in part based on the plan, the post-operative data including at least one of post-operative pain data, post-operative range-of-motion data, and post-operative level-of-activity data; comparing the pre-operative data and the post-operative data; and determining an effectiveness of the plan based at least in part upon the collected data and the comparison of the pre-operative data and the post-operative data.

7820427

11531147

1. A method comprising (a) introducing a sample solution comprising a sample and reagents into a microfluidic device, wherein the device comprises: (i) an unbranched flow channel in fluid communication with two fluid inlets, wherein a solution can be introduced into said flow channel or withdrawn from said flow channel through said inlets; and (ii) a plurality of valves that, when closed, partition said flow channel into isolated reaction sites, said reaction sites being present at a density of at least 50 sites/cm 2 ; (b) closing said valves, thereby partitioning the flow channel into isolated reaction sites containing portions of said sample solution; (c) exposing the reaction sites to conditions under which a reaction product is formed in at least one of the reaction sites; and, (d) opening said valves and displacing at least a portion of the sample solution out of the flow channel.

20100076781

12626270

1. A computer storage medium having embodied thereon computer-readable instructions that, when executed by a computing device, enable the computing device to perform a method of identifying a test component that is usable to perform an orderable healthcare procedure, the method comprising: receiving as an input the orderable healthcare procedure, wherein the orderable healthcare procedure is associated with a particular molecular entity; displaying on a device a navigational concept that represents a parent tier in an ontology hierarchy; responsive to input of the navigational concept, identifying a uniquely identified molecular entity that relates to the particular molecular entity and that is a child concept of the navigational concept; traversing biological relationships of the uniquely identified molecular entity to identify a potential test component of a task, which is executed to carry-out the orderable healthcare procedure; displaying the potential test component to enable selection thereof; and upon receiving input of the potential test component, displaying the potential test component a test component of the task.

9196255

13988952

1. A method performed by an apparatus, said method comprising: identifying one or more target vectors from a plurality of candidate vectors, each candidate vector having sorted elements and being associated with a respective class of one or more code vectors of a codebook and at least one of said candidate vectors being associated with a respective class of two or more code vectors that comprise said respective candidate vector and at least one code vector obtainable from said respective candidate vector by one of permutation and signed permutation, said target vectors having, among all candidate vectors of said plurality of candidate vectors, smallest distances towards a at least sorted representation of an input vector, said identifying comprising: checking, for a candidate vector of said plurality of candidate vectors, at least based on a distance between said candidate vector and a reference vector and on a distance between said reference vector and said at least sorted representation of said input vector, if a distance between said at least sorted representation of said input vector and said candidate vector is larger than a distance between said at least sorted representation of said input vector and said reference vector; and computing, when said checking yields a negative result for said candidate vector, a distance between said at least sorted representation of said input vector and said candidate vector, wherein a negative result is given when the distance between said at least sorted representation of said input vector and said candidate vector is not larger than a distance between said at least sorted representation of said input vector and said reference vector.

20040086172

10288990

1 - A semiconductor wafer having an alignment mark for use with e-beam imaging to identify specific locations on a semiconductor chip including; a unique pattern large enough to be detected by the recognition system of e-beam imaging equipment, said pattern comprising a plurality of geometric features, said mark including 90 degree angles, said mark surrounded by a clear, unpatterned area on the chip, and said mark positioned in close proximity to circuitry to be inspected.

8843845

13858684

1. A method comprising: outputting, by a computing device and for display, a graphical keyboard comprising a plurality of keys; receiving, by the computing device, an indication of a first gesture detected at a presence-sensitive input device, the first gesture to select a first sequence of one or more keys from the plurality of keys; determining, by the computing device, a set of candidate strings based at least in part on characters associated with the first sequence of one or more keys; outputting, by the computing device and for display, at least one of the set of candidate strings; receiving, by the computing device, an indication of a second gesture detected at the presence-sensitive input device, the second gesture to select a second sequence of one or more keys from the plurality of keys; determining, by the computing device, whether characters associated with the second sequence of one or more keys are included in a first candidate word of a lexicon, the first candidate word being based at least in part on the characters associated with the first sequence of one or more keys, and: if the computing device determines that the characters associated with the second sequence of one or more keys are included in the first candidate word, modifying, by the computing device, the set of candidate strings based at least in part on the first candidate word, and if the computing device determines that the characters associated with the second sequence of one or more keys are not included in the first candidate word, modifying, by the computing device, the set of candidate strings based at least in part on a second candidate word of the lexicon, the second candidate word not being based on the characters associated with the first sequence of one or more keys; and outputting, by the computing device and for display, at least one of the modified set of candidate strings.

20170324978

15147053

1. A method for decoding a video bitstream, comprising: determining, for a current block of the video bitstream, a reference motion vector from a varying number of candidate reference motion vectors, wherein the reference motion vector is associated with a reference block and includes a predicted portion and a residual portion; selecting a probability context model for the current block by evaluating the residual portion of the reference motion vector with one or more thresholds; and entropy decoding, for the current block using a processor, a motion vector residual associated with the current block using the probability context model.