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8775350

13474952

1. A method for sorting a defined set of comments, comprising receiving the defined set of comments on a website; calculating a normalized word score; wherein the normalized word score is a raw word score divided by a base number times one hundred; wherein the raw word score is occurrences of a particular word in the defined set of comments; and wherein the base number is a largest raw word score in the defined set of comments; using the normalized word score to calculate a unique word score; using the unique word score to calculate a raw comment score; using the raw comment score to calculate a normalized comment score; and sorting, via a system, the defined set of comments by the normalized comment score.

20120117059

12942577

1. A computer-implemented process for ranking users that are early in identifying content of broad general interest in a social media system, comprising: inputting data related to Web addresses users of a social media system link to on a network; ranking the users according to their propensity to link to Web addresses that become popular with other users based on statistical analysis of the input data; outputting a ranked list of the users based on the ranking.

10070362

15238431

1. A method comprising: training a statistical model representing a network behavior for a radio access network comprising a plurality of radio access points, wherein the statistical model is trained using, at least in part, historical measurement data gathered from the radio access network that is associated with a plurality of previous user equipment (UE) handovers among the plurality of radio access points; collecting current measurement data associated with a source radio access point; and calculating a predicted network behavior for the radio access network for one or more potential UE handovers from the source radio access point to one or more target radio access points for one or more UE based, at least in part, on application of the current measurement data to the trained statistical model.

8335674

12300314

1. A method of producing a finite-element model of a unique body of complex shape having an outer surface that is known by a first cloud of points describing said surface analytically or algebraically in a determined frame of reference, comprising the steps of: a) using a generic finite-element model which is parameterizable by means of parameters, the model being made up of simple geometrical volumes that are representative of a family to which the unique body belongs, this model comprising internal finite-elements having surface nodes on outer surfaces of the simple geometrical volumes; b) adapting the model as a function of parameters describing the unique body that is to be modeled; c) within the frame of reference, adjusting position and/or the parameters of the generic finite-element model and causing surface nodes of the parameterized model to correspond with points of the outer surface of the body defined by the first cloud of points by projecting said surface nodes of the outer surfaces of the simple geometrical volumes onto said outer surface of the body along a direction that is normal to the outer surfaces of the generic model creating finite element nodes on the outer surface of the body; and d) using the finite element nodes on the outer surface of the body as a first set of control points in a three-dimensional interpolation method in order to personalize the internal finite elements of the generic finite-element model.

8861114

14133991

1. A method for reading a current track of data from a storage device, the method comprising: using a first read head to read the current track of data and at least a respective first portion of each of a plurality of adjacent tracks of data; using a plurality of respective additional read heads, respectively offset along the current track of data, and offset perpendicularly to the current track of data, relative to the first read head, to read at least a portion of the current track of data and at least a respective second portion of each of the plurality of adjacent tracks of data, and adjusting the at least a portion of the current track of data and the at least a respective second portion of the plurality of adjacent tracks of data read by the plurality of respective additional read heads to account for each respective offset; and decoding the data read from the current track, including processing signals from the first read head and the plurality of respective additional read heads, to at least partly remove, from the signal from the first read head, contributions from the respective first portion of each of the plurality of adjacent tracks of data.

10132723

15670833

1. A system for automatic real-time diagnostics for equipment that generates vibration and static equipment comprising: a. a plurality of sensors installed on or mounted proximate to the equipment that generates vibration and static equipment, the plurality of sensors comprising a vibration sensor, and an acoustic emission sensor, and at least one of: a pressure sensor, a temperature sensor, a current sensor, a level of liquid sensor, a rotation frequency sensor, additional acoustic emission sensors, a shaft position sensor, a linear deformation sensor, each of the plurality of sensors configured to transmit sensor data; b. at least one peripheral intellectual measurement equipment (PIM) for collecting sensor data from the plurality of sensors, processing the sensor data by removing signal noise or averaging collected sensor data from a sensor over time, and then transmitting the processed sensor data as assembled data; c. a plurality of diagnostic stations, each diagnostic station with a diagnostic processor in communication with a diagnostic data storage and a diagnostic display and an enterprise network; each diagnostic station processor receiving sensor data and assembled data and comparing assembled data to threshold values for diagnostic features generating diagnostic information, each diagnostic processor using a diagnostic passport and the assembled data and calculate diagnostic features and calculate technical states for each diagnostic feature of all or portions of equipment that generates vibration and static equipment and generate diagnostic prescriptions for each diagnostic feature, the data storage having instructions to generate simultaneously a Monitor Executive Dashboard, a Trend Executive Dashboard, an Analysis Executive Dashboard, a Report Executive Dashboard, a System Executive Dashboard, and an Oscilloscope Executive Dashboard, and wherein (i) the Monitor Executive Dashboard automatically uses the sensor data and assembled data to generate diagnostic information simultaneously for: (i) portions of equipment in a facility, (ii) individual equipment in a facility, (iii) groups of equipment in a facility, and (iv) all equipment in a facility as a visual presentation: for monitoring by worst operating condition at least one of: the portions of equipment in the facility, the individual equipment in the facility; the groups of equipment in the facility, and all equipment in the facility; (ii) the Trend Executive Dashboard automatically compares diagnostic information to threshold values for diagnostic features and generates trends as a visual presentation; (iii) the Analysis Executive Dashboard automatically presents assembled data as a visual presentation of signals in data forms comprising: spectra, cepstrums, and wavelets; and simultaneously (a) calculates each diagnostic feature and (b) creates and edits diagnostic rules and configurations stored in the diagnostic data storage; (iv) the Report Executive Dashboard automatically generates multiple reports using the diagnostic information based on preset user requests or according to a preset schedule for maintenance of equipment that produces vibration and static equipment; (v) the System Executive Dashboard automatically generates a visual interface enabling monitoring, configuration and control of the plurality of peripheral intelligent measurement equipment, the plurality of diagnostic stations and the plurality of sensors; and (vi) the Oscilloscope Executive Dashboard automatically generates a visual interface with a visual signal diagram of sensor data and operation parameters for channels and operational parameters for peripheral intelligent measurement equipment with synchronization in real time, when sensor data changes; d. an administrative processor with administrative data storage and administrative display, communicating with the plurality of diagnostic processors through at least one of: the enterprise network and the global communication network 115 ; the administrative data storage having instruction for the administrative processor to automatically collect and store the diagnostic information and automatically compile the diagnostic information into a diagnostic database; e. at least one client device with a client device processor, a client device data storage and client device display, each client device providing bidirectional communication with the plurality of diagnostic stations and the administrative processor, the client device configured to present the diagnostic information by each of the Monitor Executive Dashboard, Trend Executive Dashboard, Analysis Executive Dashboard, Report Executive Dashboard, System Executive Dashboard and Oscilloscope Executive Dashboard generated by the diagnostic processor; and wherein the system automatically generates real time diagnostic information from assembled data as a composite visualization of equipment in a facility by (i) portions of equipment in a facility, (ii) individual equipment in a facility, (iii) groups of equipment in a facility, and (iv) all equipment in a facility with the Monitor, Trend, Analysis, Report, System and Oscilloscope Executive Dashboards enabling a visualization of user selected diagnostic features, user selected trends, identification of equipment that generates vibration and static equipment, operational parameters enabling prediction of maintenance events associated with equipment that generates vibration and static equipment, while presenting the equipment that generates vibration as virtual images, with each virtual image having at least one virtual tag representing diagnostic information providing simultaneous and automatic real time diagnostic analysis, real time equipment trend updating, proposed maintenance schedules, and real time viewing of maintenance activities on at least one portion of equipment that generates vibration and static equipment.

8683932

12675518

1. A method of positioning embroidery elements with a processor-controlled sewing machine, the method comprising: placing fabric that is to be embroidered in a position in relation to a threaded needle on the sewing machine; providing a plurality of embroidery elements defined as stitch data objects in a memory; selecting at least one of the plurality of embroidery elements to define a group of embroidery elements to be embroidered on the fabric; defining an arbitrary curve along which the embroidery elements shall be embroidered on the fabric; distributing the embroidery elements in a spaced relationship along the defined arbitrary curve utilizing a positioning algorithm; and preserving a coupling between the group of embroidery elements and the arbitrary curve.

9928419

15591622

1. A scalar periodicity analysis system for converting a physically perceptible input to a physically perceptible output derived from a measurement of a periodicity-related attribute of the input by generating the measurement from the input and using the measurement to derive the output that is different from the input, the system comprising: an input receiver; a signal processor defining a first target frequency and a second target frequency and configured to receive a physically perceptible input from the input receiver, wherein the input comprises a signal having a periodicity-related attribute and a set of input frequencies, and wherein the signal processor is configured to process the input into an alpha signal comprising at least the first target frequency and the second target frequency and a beta signal comprising at least the first target frequency and the second target frequency; wherein at least one signal of the group consisting of the alpha signal and the beta signal is a digital signal, and wherein the signal processor defines a working Nyquist frequency associated with the highest Nyquist frequency of the alpha signal and the beta signal; wherein the signal processor when receiving an input signal, comprising at least a first frequency of a first magnitude and a second frequency of a second magnitude, wherein the second frequency is a higher frequency than the first frequency, and wherein both the first frequency and the second frequency are below half the working Nyquist frequency, outputs the alpha signal and the beta signal, wherein the alpha signal comprises the first frequency at a first alpha magnitude and the second frequency at a second alpha magnitude, wherein the beta signal comprises the first frequency at a first beta magnitude and the second frequency at a second beta magnitude, and wherein the product of the first alpha magnitude, the first beta magnitude and the square of the second magnitude, is greater than the product of the second alpha magnitude, the second beta magnitude and the square of the first magnitude; wherein the alpha signal has a first group delay difference with the beta signal at the first target frequency; wherein the alpha signal has a second group delay difference with the beta signal at the second target frequency; wherein the alpha signal has a first phase difference with the beta signal at the first target frequency; wherein the alpha signal has a second phase difference with the beta signal at the second target frequency; wherein the first phase difference is between 80 and 100 degrees; wherein the second phase difference is between 80 and 100 degrees; wherein the first group delay difference is within 90% and 110% of the second group delay difference; wherein the first group delay difference is not zero; a modulation unit configured to multiply at least the alpha signal and the beta signal to produce a modulated output; and a scalar periodicity unit configured to generate a measurement of the attribute of the input derived from the modulated output to produce a physically perceptible output based on the measurement, to achieve greater accuracy in audio recognition, wherein the physically perceptible output is different than, and derived from, the input and wherein the physically perceptible output is derived from the measurement.

20120053959

13249168

1. A computer-implemented method for analyzing a behavior of different entities performing similar tasks, the method comprising: observing outputs of multiple similar tasks with similar inputs performed by different entities; identifying clusters of outputs based on similarities and dissimilarities between outputs; and determining a normative behavior for the entities based on a size of the clusters, wherein larger size clusters define the normative behavior.

9674222

15166771

1. A method for detecting an attack on a network of victim computers in a victim cloud that connect to one or more Domain Name System (DNS) or Dynamic Domain Name System (DDNS) servers, comprising: operating one or more decoy control computers among one or more control computers that communicates with one or more victim computers in the victim cloud; identifying threats by analyzing data traffic communicated with the one or more victim computers and the one or more decoy control computers; and upon identifying information suspected of being stolen by a hacker, if the identified information was identified from a victim computer from among the one or more victim computers in communication with a control computer used by the hacker, modifying a lookup table in a DNS or DDNS server from among the one or more DNS or DDNS servers to replace an Internet Protocol (IP) address for the control computer with an Internet Protocol (IP) address for a sinkhole computer for connecting the victim computer to the sinkhole computer; and if the identified information was identified from a decoy control computer from among the one or more decoy control computers, intercepting a transmission and removing data suspected of being stolen from the data traffic while maintaining ongoing communications between the decoy control computer and the hacker.

8491474

13015208

1. A system for processing a data stream obtained from a glucose sensor, the system comprising: a signal processing module configured to monitor a data stream from a continuous glucose sensor over a period of time; a detection module configured to determine a severity of signal artifacts in the data stream based on an amplitude and a duration of the signal artifacts; a signal estimation module configured to selectively apply one or more coefficients or parameters to a signal estimation algorithm based on the severity of the signal artifacts and to apply the signal estimation algorithm to the data stream to generate an estimated signal.

8358336

12509926

1. A method of capturing biometric data of a hand comprising the steps of: digitally photographing a designated contactless capture area, the area not having any predefined hand-positioning structure or platen for receiving a hand to obtain a captured image of the capture area that includes a naturally-posed hand; extracting a frontal hand image of the naturally-posed hand by applying an Active Appearance Model (AAM) to the captured image; and computing a plurality of hand geometry measurements of the frontal hand image; wherein the step of computing hand geometry measurements includes the steps of: for each of the plurality of hand geometry measurements, identifying a first and second anchor point from a plurality of anchor points forming vertices on the hand of the captured image from the AAM; and determining the linear distance between the first anchor point and the second anchor point; further comprising the step of comparing the plurality of hand geometry measurements from the frontal hand image to corresponding existing hand geometry measurements, wherein the comparison results in a best match; further comprising the steps of: capturing at least one fingerprint image of the naturally-posed hand; deriving an inked version equivalent of the at least one fingerprint image; and comparing the inked version equivalent to a plurality of existing inked version equivalents; wherein the step of deriving an inked version equivalent includes the steps of applying a re-shading algorithm to the fingerprint image to remove unwanted illumination effects, applying an auto-verifying threshold algorithm to convert the fingerprint image into a black and white image and to remove illumination artifacts, and applying an edge clean-up and inversion algorithm to invert the black and white image and model ink edge effects.

9989650

13766225

1. A method comprising: receiving a pseudo-range measurement of a global positioning system satellite (GPS); receiving, when the pseudo-range measurement of the GPS is inaccurate, distance data from a range finding sensor, wherein the distance data corresponds to a first current distance to a first point from a mobile device and a second current distance to a second point from the mobile device; accessing a predetermined building model to receive location data for the first point and the second point, wherein accessing the predetermined building model comprises selecting the predetermined model based on a previous location of the mobile device determined using the GPS; calculating a current position of the mobile device based on the pseudo-range measurement of the GPS satellite, the location data, the first current distance to the first point and the second current distance to the second point using a simultaneous solution of a plurality of equations including at least one equation for the first current distance, at least one equation for the second current distance, and at least one equation for the pseudo-range measurement; and displaying a route based on the current position of the mobile device, wherein the first point and the second point are derived from densities of point cloud data in point clouds, the point cloud data received from the range finding sensor.

20130332965

13491899

1. A method for displaying a plurality of listings for scored contests on a display screen using a media guidance application, comprising: generating for display a listing of a first scored contest having a first score; generating for display a listing of a second scored contest having a second score; processing a real-time data feed associated with the first scored contest to determine the first score at a point of progress of the first scored contest; extrapolating a first likelihood that the first scored contest will have an outcome based, at least in part, on a cross-referencing of the first score with outcome determination criteria; and ordering the display of the listing of the first scored contest and the listing of the second scored contest on the display screen based, at least in part, on the first likelihood.

20150222511

14113890

1. A method for determining communication characteristics of a metal cable suitable for use in a communication system, comprising: transmitting a wideband test signal on the metal cable; receiving an reflected signal as a result of the wideband test signal; determining an interval of the received reflected signal to be analysed, the interval corresponding to a part of the metal cable length; approximating the received reflected signal within the interval by a regression model; and determining communication characteristics of the metal cable based on the regression model.

20140362240

14049118

1. A method for removing unwanted camera motion from a video sequence comprising a plurality of video frames, the method comprising: matching a plurality of feature points between each pair of consecutive video frames in the video sequence; calculating the motion of each matched feature point between the corresponding pair of consecutive video frames; calculating a set of historical metrics for each feature point; for each pair of consecutive video frames, determining a homography defining a dominant motion between the pair of consecutive frames, the homography determined by performing a geometrically biased historically weighted random sample consensus (RANSAC) method on the calculated motion of the matched feature points between the pair of consecutive frames, the geometrically biased historically weighted RANSAC method using a cost function that gives a weight to the calculated motion of each feature point based on the set of historical metrics calculated for the feature point and includes a geometric component that biases a result of the RANSAC method towards a solution that minimizes spatial distortion; and removing the unwanted camera motion from the video sequence using the identified homographies.

20090222244

12086762

1. A method of estimating information on the state of projection of abrasive particles projected by a projection machine that includes a plurality of blades that rotate at a high rate, the method comprising the steps of: analyzing the behavior of said abrasive particles projected by said projection machine on said blades to create an analytical model; and estimating the information on the state of the projection of the abrasive particles projected by said projection machine using said analytical model.

8589370

13382094

1. A computer-implemented method comprising: examining a document represented in a markup language to identify acronyms contained therein, wherein the examining comprises: performing a first stage comprising: parsing the document using a markup language parser to identify a text node; identifying an acronym in the text node; and performing a second stage after the first stage, the second stage comprising: transforming the document represented in the markup language into plain text by removing markup language tags from the document; identifying a further acronym in the plain text, the further acronym being in addition to the acronym identified in the first stage; retrieving portions of the document for the respective identified acronyms, wherein each of the portions is located within the document proximate the respective one of the identified acronyms; determining one or more expansions of each of the identified acronyms based on the corresponding retrieved document portion; determining a ranking for each expansion based on attributes of the document; and selecting expansions for the identified acronyms using the determined rankings.

9250839

14529406

1. A method comprising: receiving, at a primary server, a plurality of data transmissions from a corresponding plurality of printing devices, wherein the plurality of data transmissions comprises respective data transmissions, and wherein each respective data transmission is formatted according to an original format and wherein each respective data transmission comprises a respective device identifier; storing the respective data transmissions in an active database associated with the primary server, wherein storing the respective data transmissions comprises storing the respective data transmissions in the respective original formats; determining archive-ready data from the stored data transmissions based on a timestamp being beyond a threshold; storing the archive-ready data as accumulated archive data in a passive archive associated with the primary server; determining secondary-ready data from the accumulated archive data based on a size of the accumulated archive data; transferring the secondary-ready data from the primary server to a secondary server; storing the secondary-ready data as secondary data in a second archive associated with the secondary server; and pre-processing the secondary data, wherein pre-processing the secondary data comprises: grouping the secondary data into sections based at least on a respective printing device property of the respective data transmissions of the secondary data; and forming a normalized database comprising the sections organized based at least on the respective device identifiers of the respective data transmissions of the secondary data.

20140282328

13831444

1. A non-transitory computer-readable medium holding computer-executable instructions for performing and developing design rule checks with a 3D structural model for a semiconductor device structure, the instructions when executed causing the computing device to: receive a selection of a process sequence and 2D design data for a semiconductor device structure to be virtually fabricated; perform with the computing device a virtual fabrication run for the structure using the process sequence and 2D design data, the virtual fabrication run building a 3D structural model; and perform a set of 3D design rule checks by searching the 3D structural model for locations where specified minimum or maximum dimensional criteria are satisfied.

8705361

12816333

1. A method of managing data traffic flow in a wireless network, the method comprising: inspecting, by a wireless access portion inspection unit, data traffic content in a backhaul portion of the wireless network to determine radio bearer resource information associated with a wireless access portion of the wireless network; inspecting, by a backhaul portion inspection unit, the data traffic content in the backhaul portion of the wireless network to determine radio access bearer information associated with the backhaul portion of the wireless network; and controlling, by a control unit located in a network interface region between the backhaul portion of the wireless network and a core of the wireless network, data traffic flow in the wireless network as a function of the radio bearer resource information and the radio access bearer information.

20110187713

13019228

1. A method comprising: assigning an initial set of pitch values to a plurality of facets of a roof; automatically adjusting lateral positions of points associated with one or more first line segments of the roof identified as one or more ridge segments to accommodate pitch values of the initial set of pitch values associated with facets that share the one or more ridge segments or share endpoints of the one or more roof segments; and automatically adjusting lateral positions of points associated with one or more second line segments of the roof identified as a junction or seam between adjacent facets of the roof to accommodate pitch values of the initial set of pitch values associated with the adjacent facets.

20070011668

11169014

1. A method for ordering parameters in a graph-based computation including: determining a desired first ordering of a set of parameters associated with graph elements in a computation graph; determining an ordering constraint for the set of parameters; and determining a second ordering of the set of parameters that satisfies the ordering constraint according to the desired first ordering.

9189482

13672064

1. A method for comparing documents, the method comprising: associating, by a processor, a respective weight with each of a plurality of information types including text-based information, graphical information, audio information, or video information; identifying for each of the documents, by the processor, one or more segments each corresponding to one of the plurality of information types; and estimating, by the processor, a similarity value between a first document of the documents and a second document of the documents by comparing each segment of the first document with a segment of the second document that corresponds to a same information type and combining results of the comparison based on the respective associated weights.

20060080066

11237661

1. A computer-readable storage medium storing a program for verifying an accuracy for model parameters computation, wherein the program causes the computer to perform: reading a model represented by difference equations from a storage apparatus; computing difference equations that use numeric values of a time-series by replacing variables of the model with numeric values of a time-series that are stored in the storage apparatus; determining ranges of parameters of the model by applying a quantifier elimination method to the constraints, that is, the results of above computation; and verifying numbers of significant figures that show a computation accuracy of model parameters by the determined ranges of parameters of the model.

9207106

14018548

1. A system for incident detection, comprising: a network including at least one detector for detecting events in the network; a detection module capable of: processing data from the at least one detector; detecting, at a predetermined location over a predetermined time period, data for determining a plurality of decision variables for incident detection; and detecting data corresponding to a decision variable at a particular time t; a calibration module capable of calibrating a plurality of bands for the incident detection based on the plurality of decision variables, wherein: the plurality of bands define thresholds that are time-varying for all measurement locations in the network; and the thresholds are estimated using nonparametric quantile regression; and a determination module capable of: determining the plurality of decision variables over the predetermined time period; determining the decision variable at the time t; and querying whether the decision variable at the time t falls outside a band of the plurality of bands to determine whether an incident has occurred; wherein the querying comprises comparing the decision variable at the time t with a time-varying threshold defined by the band at the time t; wherein an alert is issued in response to a determination that the incident has occurred; wherein the detection module includes at least one sensor performing the detecting; wherein the sensor records occupancy at the predetermined location over the predetermined time period by recording a passage of each traveling element on the network over a fixed loop; and wherein the alert is issued at a command center capable of responding to the incident.

20020147888

09826085

1. A method for managing a cache, comprising the acts of: analyzing information stored in a caching profile; responsive to the act of analyzing, selecting a preferred caching algorithm from a plurality of caching algorithms; and determining whether a file should be included in a cache according to the preferred caching algorithm.

8713975

12640514

1. A laundry treating appliance for treating laundry received within a treating chamber of the appliance according to at least one cycle of operation, from a plurality of cycles of operation, having multiple operating parameters, the laundry treating appliance comprising: a plurality of controllable components operable to implement the cycle of operation; a user interface comprising: a cycle selector for selecting a cycle of operation from the plurality of cycles of operation; and a performance goal selector comprising: an image display on which is provided a performance goal landscape subdivided into multiple goal areas, each goal area representing a different performance goal for at least one of the plurality of cycles of operation; and a user-controllable weighting selector having a bound weighting area moveable relative to the performance goal landscape; and a control system operably coupled to the user interface and comprising: a weighting module operably coupled with the user interface and comprising a set of executable instructions to determine a goal weighting based on a relative proportion of at least one of the goal areas within the weighting area; and a controller configured to set a value for at least one of the multiple operating parameters based on the determined goal weighting and to control at least one of the plurality of components to implement the cycle of operation based on the set value for the at least one of the multiple operating parameters; wherein the user may control the performance goals of the cycle of operation by moving the weighting selector relative to the landscape to change the goal weighting by changing a relative proportion of the goal areas within the weighting area.

9292798

13723699

1. A method for feature extraction, the method comprising the steps of: a) receiving at least one query to predict at least one future value of a given value series; b) generating a statistical model built on covariates to produce at least two predictions of the future value fulfilling at least the properties of 1) each being as statistically probable as possible given the statistical model wherein to be as statistically probable as possible an absolute distance of each of the predictions to a true value is less than a predetermined distance parameter with greater than a predetermined probability and 2) being mutually divert in terms of a numerical distance measure; and c) querying a user to select one of the predictions.

9167029

13776808

1. A method for managing individuals in a group, the method comprising: a computer identifying a collaboration activity including a defined group and one or more additional individuals that are not members of the defined group; the computer determining contribution information corresponding to the one or more individuals of the defined group and the one or more additional individuals included in the identified collaboration activity, wherein the contribution information includes indications of which of the one or more individuals of the defined group and the one or more additional individuals included in the identified collaboration activity provided contributions relating to the purpose of the identified collaboration activity; the computer determining relevant individuals from the identified collaboration activity based on the determined contribution information, wherein a relevant individual is associated with determined contribution information indicating the relevant individual has provided contributions relating to the purpose of the identified collaboration activity; and responsive to determining relevant individuals from the identified collaboration activity, the computer determining an updated group including determined relevant individuals.

20120089556

12901721

1. A method comprising: by one or more computing devices, accessing a binary decision diagram (BDD) representing a function having 4 variables, variables 1 , 2 , 3 , and 4 , wherein the BDD comprises 4 layers, layers 1 , 2 , 3 , and 4 , corresponding to the 4 variables, respectively; determining an optimum variable order of the BDD by performing at most 19 layer swaps during at most 13 iterations, wherein each of 6 iterations of the at most 13 iterations comprises: determining a first size of the layers 1 and 2 and a first size of the layers 3 and 4 ; swapping the layers 1 and 2 and the layers 3 and 4 concurrently; determining a second size of the layers 1 and 2 and a second size of the layers 3 and 4 ; and determining 1 variable order among 4 variable orders obtained during the iteration that yields a smallest size among the 4 variable orders obtained during the iteration.

9881214

15209628

1. A computing device comprising: a memory; one or more processors communicatively coupled to the memory; one or more instructions stored in the memory, executed by the one or more processors, and configured to cause the one or more processors to perform: obtaining a first pixel map for a predicted agronomic yield of a particular field wherein each pixel of the first pixel map represents an agronomic yield of a crop at a physical location within the particular field; obtaining a second pixel map for a measured agronomic yield of the particular field wherein each pixel of the second pixel map represents an agronomic yield of a crop at a physical location within the particular field; generating, from the first pixel map, a first vector of values; generating, from the second pixel map, a second vector of values; generating a matrix of metric coefficients wherein each row of the matrix of metric coefficients corresponds to a first pixel location of the first pixel map, each column of the matrix of metric coefficients corresponds to a second pixel location of the first pixel map, and each value in the matrix of metric coefficients is computed using a spatial distance between the first pixel location and the second pixel location for the value; computing a particular difference metric that specifies a difference between the first pixel map and the second pixel map based on the first vector of values, the second vector of values, and the matrix of metric coefficients; computing, from the particular difference metric, a particular normalized difference metric comprising a quotient of the difference metric with a sum of the metric coefficients in the matrix of metric coefficients; generating and sending, to a field manager computing device, one or more field management recommendations based, at least in part, on the particular normalized difference metric.

20040186762

10765424

1. A system for supporting an arbitrary activity involving collaborators, the system comprising: a processor which has access to a representation of a model of the activity, the form of the model being defined by the collaborators and the representation providing access to information relating to the activity; and an interface to the system for the collaborators, the interface being provided by the processor and the interface permitting a collaborator to perceive and modify the model's form and to perceive and modify the information to which the representation of the model provides access.

20090087070

12283441

1. A method for suppressing bone structures in an x-ray image, comprising: receiving an x-ray image having a plurality of pixels; extracting a set of wavelet features for each pixel in the x-ray image; and generating a soft-tissue image without bone structures from the x-ray image by using a trained regression function to determine an intensity value for the soft-tissue image corresponding to each pixel in the x-ray image based on the set of wavelet features extracted for each pixel in the x-ray image.

20020062296

09231498

1. A method of modeling the variables in an input data set by means of a probabilistic network including data nodes and causal links, the method comprising the steps of: registering the input data set; generating a population of genomes each individually modeling the input data set by means of chromosome data to represent the data nodes in a probabilistic network and the causal links between the data nodes; performing a crossover operation between the chromosome data of parent genomes in the population to generate offspring genomes; performing an addition operation to add the offspring genomes to the population; performing a scoring operation on genomes in the population to derive scores representing the correspondence between the genomes and the input data set; performing a selecting operation to select genomes from the population according to the scores; repeating the crossover, scoring, addition and selecting operations for a plurality of generations of the genomes; and selecting, as an output model, a genome from the last generation.

5544257

07818193

1. A computer-based method for recognizing handwriting, wherein the computer comprises an input device, a memory module, a preprocessor unit, a front end unit and a modeling component, the method comprising the steps of: (1) receiving character signals into the preprocessor unit from the input device, said character signals representing training observation sequences of sample characters; (2) sorting said character signals in the preprocessor unit according to lexemes which represent different writing styles for a given character, by mapping said character signals in lexographic space, said lexographic space being a location in the memory module which contains one or more character-level feature vectors, to find high-level variations in said character signals; (3) selecting one of said lexemes; (4) generating sequences of feature vector signals in the front end unit representing feature vectors for said character signals associated with said selected lexeme by mapping in chirographic space, said chirographic space being a location in the memory module which contains one or more flame-level feature vectors; and (5) generating a Markov model signal in the modeling component representing a hidden Markov model for said selected lexeme, said hidden Markov model having model parameter signals and one or more states, each of said states having emission transitions and non-emission transitions, wherein said step (5) comprises the steps of: (i) initializing said model parameter signals comprising the steps of: (a) setting a length for said hidden Markov model; (b) initializing state transition probabilities of said hidden Markov model to be uniform; (c) for each of said states, tying one or more output probability distributions for said emission transitions; (d) for each of said states, assigning a Gaussian density distribution for each of one or more codebooks; and (e) alternatively initializing one or more mixture coefficients to be values obtained from a statistical mixture model; and (ii) updating said model parameter signals.

7818320

11755835

1. A method for providing enhanced search results in response to a search request having a search term, the search results including a plurality of document identifiers, each document identifier having a hyperlink and an abstract with a plurality of abstract terms, the method comprising: receiving a search query containing a plurality of terms; retrieving a plurality of document identifiers associated with the search query; retrieving a plurality of feedback logs associated with the search query terms, the feedback logs containing a plurality of past document identifiers previously presented to users and an indication of a user selections of the past document identifiers; identifying a plurality of contiguous phrases present in the abstract of a given past document identifier; filtering out a plurality of non-biddable phrases in the abstract; for each identified contiguous phrase, generating a popularity factor, the popularity factor based on the number of occurrences of the identified phrase in the feedback logs and the indication of a user selections of the past document identifiers; determining the relevancy factors based on the popularity factors; and generating a search results page in response to the search request for the search term where the ordering of the document identifiers is determined based on the relevancy factors.

20080209997

12026589

1. A method, comprising: interpreting a nominal pump schedule corresponding to a nominal value for each of at least one fracture control parameter; interpreting a plurality of environment parameters including at least one uncertain environment parameter; interpreting at least one uncertainty description, each uncertainty description corresponding to one of the uncertain environment parameters; defining an objective function; and determining an optimal value for each at least one fracture control parameter according to: the objective function, the plurality of environment parameters, and the at least one uncertainty description.

20120073508

13277088

1. A method for obtaining a neofemale decapod crustacean, comprising: (a) down-regulating the expression of insulin-like factor gene of the androgenic gland (IAG); or (b) down regulating the activity of insulin-like factor polypeptide (IAG) in an up to 180 days post-larvae old male decapod crustacean, thereby obtaining a neofemale decapod crustacean.

20170039090

15296954

1. A method comprising: determining one or more computing solution aspects corresponding to one or more sets of workload factors, where the workload factors characterize one or more workloads, to characterize one or more computing solutions; comparing the workload factors to the computing solution aspects using a processor in a rule-based system to exclude incompatible computing solutions that cannot satisfy the workload factors and to create a filtered set of computing solutions; and selecting a computing solution having aspects that accommodate all of the workload factors to find a solution that accommodates the one or more individual workloads.

8289527

12752637

1. A method for determining profile parameters of a sample structure on a workpiece using an optical metrology system optimized to achieve one or more accuracy targets, the optical metrology system including an optical metrology tool, an optical metrology tool model, a profile model of the sample structure, and a parameter extraction algorithm, the profile model having profile parameters, the method comprising: setting one or more accuracy targets for profile parameter determination for the sample structure; selecting a number of rays and beam propagation parameters to be used to model the optical metrology tool, the optical metrology tool having a light source, an illumination beam, optical elements, a diffraction beam, and a detector; measuring a diffraction signal off the sample structure using the optical metrology tool, generating a metrology output signal; determining an adjusted metrology output signal using the metrology output signal and calibration data; optimizing the optical metrology tool model and the profile model using the adjusted metrology output signal and the parameter extraction algorithm; if the one or more accuracy targets are not met, adjusting the selected number of rays, the selected beam propagation parameters, and/or the profile parameters and iterating the determining the adjusted metrology output signal and optimizing the optical metrology tool model and the profile model using the adjusted metrology output signal and the parameter extraction algorithm until the one or more accuracy targets are met.

9384857

14265980

1. A computer implemented method for system reliability, the method comprising: receiving an input; repeating a computation operation on the input to generate multiple output values; storing the multiple output values in a table along with a number of hits for each distinct output value in the multiple output values, the number of hits indicating a number of times each distinct output value was generated by the repeating; checking, by a reliability circuit, whether the number of hits for any one distinct output value meets a confidence threshold; based on meeting the confidence threshold for the number of hits for the any one distinct output value, outputting the any one distinct output value; and based on the number of hits for the any one distinct output value not meeting the confidence threshold, continuing to repeat the computation operation on the input until the number of hits for the any one distinct output value meets the confidence threshold.

8443309

13040580

1. A method for optical proximity correction (OPC) model accuracy verification for a semiconductor product, the method comprising: generating a multifeature test pattern, the multifeature test pattern comprising a plurality of features selected from the semiconductor product, wherein the plurality of features of the multifeature test pattern comprises at least two of: pitch, line-end, dense line-end, H bar, broken H bar, nested U, mirror U, landing-pad, two-T, snake, mushroom, rotated-L, and contact, and wherein the multifeature test pattern further includes one or more failure modes, the one or more failure modes comprising at least one of bridging, necking, and ringing; exposing and printing the multifeature test pattern on a test wafer under a process condition; generating an OPC model of the semiconductor product for the process condition; and comparing the test wafer to the OPC model to verify the accuracy of the OPC model.

5451960

08257974

1. A sensing system for optimizing the allocation of sensors to targets that are being tracked by the system on a continuing basis comprising, a plurality of basic sensors arranged into sensor groups so that a separate pseudo sensor group is formed by each basic sensor and by each possible combination of said basic sensors, a Kalman filter which provides track covariance matrix vector data for each target which is dependent on state vector data being tracked for predicting track errors and the position of its associated target, a programmable digital computer controllable by software code coupled to said Kalman filter for receiving available basic sensor data, basic sensor capacity data and basic sensor error input data target state vector data and Kalman filter covariance matrix data, a first software process for causing said computer to calculate information gain of said system for each pseudo sensor and target assignment on a continuing basis as a function of the ratio of the covariance matrix data of each associated Kalman filter when state vector data of the associated target is observed to the covariance matrix data of each associated Kalman filter when state vector of the associated target is not observed, a second software process that utilizes mathematical linear programming to maximize the relative information gain in a calculation cycle in which the state vectors and the gain values for each possible combination of said sensors and said targets are calculated, namely: ##EQU10## where C is relative gain, G.sub.ij is the information gain of a track j and sensor i, and X.sub.ij is the state vector for each track j and sensor i, and said second software code imposes the first constraint, ##EQU11## where S is the number of basic sensors and 2.sup.s -1=.tau., and to the second constraint ##EQU12## where .tau..sub.k is the maximum tracking capacity of the basic sensor k, i J(k) means i is a subset of J(k), and J(k) represents the set of all pseudo sensors that include the basic sensor k, and control means for utilizing said basic sensors as selected combinations of pseudo sensors formed of one or more basic sensors on a continuing basis after each information gain calculation which is coupled to said computer and to said pseudo sensors for recombining said sensors with said targets in response to the maximization value, c, of said relative gain that is obtained after each information gain calculation.

20030225525

10156367

1. A computer-implemented method for detecting outliers in microarray data, said method comprising the steps of: receiving the microarray data, said microarray data containing data values indicative of at least one characteristic associated with processed gene samples; using a mixed linear statistical model to generate predictions based upon the received microarray data; generating residuals based upon the predictions and the received microarray data; performing a statistical test for at least one generated residual by adding covariates to the mixed linear mathematical model and testing significance of the covariates; and designating a data value within the received microarray data as an outlier based upon the tested significance.

20150371431

14764250

1. A system for analyzing and improving accuracies of two-dimensional images and for forming three-dimensional images from the two-dimensional images, the system comprising: a processor; and a memory that includes a plurality of two-dimensional images and instructions, the plurality of two-dimensional images each including a same target area and being acquired at same or different times and at different collection angles, the instructions configured to, when executed by the processor, cause the processor to execute operations comprising; correlating a plurality of target features in the target area of each of the two-dimensional images; determining, independently for each of the plurality of two-dimensional images and based on image pointing parameters, a three-dimensional geolocation position for each of the plurality of target features; calculating a weighted average or a least squares fitting of the three-dimensional geolocation position for each of the plurality of target features using the plurality of two-dimensional images; adjusting, variably across each of the plurality of two-dimensional images, the image pointing parameters by providing an adjustment of the image pointing parameters to minimize a geolocation difference between the three-dimensional geolocation position of each of the plurality of target features in each of the plurality of two-dimensional images and the weighted average or the least squares fitting of the three-dimensional geolocation position of each of the plurality of target features across the plurality of two-dimensional images; and projecting each of the plurality of two-dimensional images onto a georeferenced three-dimensional surface model of the target area based on results of the adjusting to form georeferenced three-dimensional images from the plurality of two-dimensional images.

8412735

12767354

1. A method comprising: retrieving data from an electricity smart grid; encoding said data into a data modeling technique; performing a data quality rules discovery process using a data set of said electricity smart grid and said data modeling technique encoded with said data to said data set to produce a plurality of data quality rules associated with said electricity smart grid, said data quality rules discovery process comprising: applying each of a set of candidate conditional functional dependencies to a data segment having a predetermined length of data points of said data set; and after said applying, if a candidate conditional functional dependency has a result signature that does not meet a predetermined expectation, refining that candidate conditional functional dependency by eliminating an attribute in that candidate conditional functional dependency that took on the most values throughout the data set.

20110239182

12888700

1. A non-transitory computer-readable storage medium storing a pareto data generation program for an automatic circuit design for causing a computer to execute a procedure, the procedure comprising: first extracting a circuit configuration having a specific function from a circuit configuration data storage device storing data of a plurality of circuit configurations; for each combination of the extracted circuit configuration and a process constraint condition among a plurality of process constraint conditions, which are constraint conditions for manufacturing processes to be commonly used for said plurality of circuit configurations and are stored in a process constraint condition storage device, obtaining simulation results for respective items in requirement specification by circuit simulation, while changing values of respective design variables in the circuit configuration a plurality of times so as to satisfy said process constraint condition and a constraint condition of the extracted circuit configuration; second extracting, from said simulation results, pareto optimal solutions that are non-dominated solutions in a solution specification space for said respective items in said requirement specification, and storing pertinent values of said respective design variables and pertinent values of said respective items in said requirement specification for each of the extracted pareto optimal solutions into an individual pareto data storage device in association with a combination of an identifier of the process constraint condition and an identifier of the extracted circuit configuration; for each of said process constraint conditions, third extracting second pareto optimal solutions that are non-dominated solutions among all of said pareto optimal solutions stored in said individual pareto data storage device in association with the process constraint condition; for each of said process constraint conditions, storing said identifier of said circuit configuration, said pertinent values of said respective design variables and said pertinent values of said respective items in said requirement specification, which correspond to each of said second pareto optimal solutions, into a pareto-per-process data storage device; fourth extracting third pareto optimal solutions that are non-dominated solution among all of said pareto optimal solutions stored in said individual pareto data storage device, and storing said combination of said identifier of said extracted circuit configuration and said identifier of said process constraint condition, said pertinent values of said respective design variables and said pertinent values of said respective items in said requirement specification, which correspond to each of said third pareto optimal solutions, into an entire pareto data storage data storage device.

7565631

10884589

1. A method for converting a software assembly program to a hardware design, said method comprising the steps of: creating a machine level syntax tree (MST) representation of the software assembly program in a given software binary program; compiling the MST representation into a Control and Data Flow Graph (CDFG) representation of the software assembly program by a processor controlled by an MST engine; compiling the CDFG representation of the software assembly program into a hardware description language (HDL) state machine; compiling the HDL state machine into a Register Transfer Level (RTL) VHDL or Verilog language; and compiling the RTL VHDL or Verilog language onto a hardware representation onto one or more programmable circuit devices using a synthesis program and a physical design program.

9025838

13879655

1. An imaging apparatus for imaging an object of interest, the imaging apparatus comprising: an imaging device that detects at least one of x-ray or gamma radiation and generates electronic detection data that is indicative of the object of interest, and an image generation computer device that includes: an analytical reconstruction processor that analytically reconstructs an analytical image of the object in electronic format from the electronic detection data, an iterative reconstruction processor that iteratively reconstructs an iterative image of the object in electronic format from the electronic detection data, and a combination processor, including: a first filter that low-pass filters the analytical image generating a low pass filtered analytical image, a second filter that high-pass filters the iterative image generating a high-pass filtered iterative image, and a combiner that combines the low pass filtered analytical image and the high-pass filtered iterative image generating a combination filtered image of the object in the electronic format.

8739775

12867552

1. A method for controlling heliostats, comprising: accessing projection data representing reflection characteristics of each of a plurality of heliostats, each being aimable at a receiver; for each of the plurality of heliostats, predicting a flux intensity projection pattern for each of multiple aiming points on the receiver responsively to the projection data respective to the each of the plurality of heliostats; for each of a subset of the plurality of heliostats, selecting one of the multiple aiming points corresponding to the each of the subset responsively to previously selected aiming points corresponding to others of the plurality of heliostats, the selecting including applying at least one rule, the at least one rule having the effect that when the selecting is repeated for all of the subset, a cumulative distribution of flux over the receiver surface is substantially uniform or substantially matches a predetermined pattern of flux; and generating a control command responsively to the selecting to cause at least some of the plurality of heliostats to target the selected ones of the multiple aiming points.

8935702

12554867

1. A program product for optimizing a parallel data integration job, the program product comprising: a nontransitory computer readable storage medium having computer readable program code embodied therewith, the computer readable program code comprising: computer readable code configured to receive a job request specifying a parallel data integration job to deploy in a grid, wherein the job request includes operators specifying parallel integration operations performed when the parallel data integration job is run; computer readable code configured to predict grid resource utilizations for hypothetical runs of the specified job on respective hypothetical grid resource configurations responsive to a model based on performance data from a plurality of actual runs of previously deployed, parallel data jobs; and computer readable code configured to select a grid resource configuration for running the parallel data integration job, including resource optimizer module computer readable code configured to automatically select a grid resource configuration responsive to the predicted grid resource utilizations and an optimization criterion based on at least one resource utilization index for the job; and computer readable code configured to generate the at least one resource utilization index for the job, comprising: computer readable code configured to generate resource utilization indices for each respective operator responsive to the predicted grid resource utilizations on resource portions; computer readable code configured to generate a respective operator index maximum for each respective operator; computer readable code configured to generate, for each of a respective group of the operators, a respective maximum of the operator index maxima among the operators of the respective group; computer readable code configured to select a first maximum of resource utilization indices for a first and second subset of data source and sink operator groups; computer readable code configured to select a second maximum of resource utilization indices for a first and second subset of processing and scratch operator groups; and computer readable code configured to generate the at least one resource utilization index for the job responsive to a ratio of the first and second maxima.

7593963

11288799

1. A method of remotely detecting and controlling whether moving system data indicative of at least one of integrated diagnostic data, telemetry data and recording systems data from a moving system is valid moving system data, the method comprising: a) remotely accessing moving system data residing at the moving system; b) remotely reviewing a data parameter characteristic of the moving system data; c) remotely comparing the data parameter to indicia signifying an expected data parameter characteristic; d) remotely initiating a corrective action to obtain a secondary data parameter that correlates with the indicia if the data parameter does not correlate with the indicia; and e) transmitting the moving system data to a remote location, if the data parameter does correlate with the indicia.

9202052

14038514

1. A method for identifying communities which have an anomaly, comprising: receiving machine generated event log data which includes one or more events occurring over a window of time, wherein each event includes one or more events having a first node, a second node, and a timestamp; aggregating the events into a plurality of aggregated graph snapshots; identifying one or more communities within the plurality of aggregated graph snapshots; determining one or more community tracking links between communities in the plurality of aggregated graph snapshots, including by determining a modified Jaccard coefficient ( A ⋂ B min ⁡ ( A , B ) ) , where A∩B, is the number of first node or second node in common between community A and community B and min(A, B) is the smaller of the size of community A and the size of community B; and using a processor to identify communities in the plurality of aggregated graph snapshot which are anomalous based on one or more of the following: a community level anomaly or an evolutionary path level anomaly.

20040148152

10757426

1. A mechanism for predicting a performance of a system constructed by a technique of combining a plurality of software components, the system performance prediction mechanism based on software component performance measurements, comprising: component performance measurement means for previously measuring system resource utilizations of individual software components constituting the system and storing them in a performance database; transaction performance prediction means for predicting a system resource utilization of a transaction to be processed by the system from a result of searching a performance database in consideration of the software components and requests constituting a processing content of the transaction; and system performance prediction means for predicting a system resource utilization of the entire system by inputting the system resource utilization of the transaction predicted by the transaction performance prediction means into a system performance prediction model.

10162840

14842966

1. An automated computer implemented system comprising: a relational database comprising financial data and further containing a plurality of schema comprising a staging schema, recent schema and historic schema; a distributed data storage platform that supports the relational database, the distributed data storage platform comprising a plurality of nodes; and a computer processor, coupled to the relational database and the distributed data storage platform, and programmed to: access the financial data from the relational database in the distributed data storage platform comprising the plurality of nodes; automatically create an aggregation specification comprising context elements, iteration elements and a formula that represents an algorithm that processes financial market measures made available by the iteration elements, based at least in part on the financial data; determine whether the aggregation is current; compose one or more keys for the aggregation specification; determine one or more dimensions for the keys; responsive to the keys and dimensions, process the aggregation specification via the plurality of nodes; and automatically assemble an outcome from each node of the plurality of nodes.

9990013

15100209

1. A method for facilitating optimizing cooling efficiency of a data center, the method comprising: receiving a layout of the data center; computing, via a processor, co-ordinates of each equipment of a plurality of equipments associated with the data center, wherein the co-ordinates are computed based upon a distance of each equipment from a reference location in the data center; segregating, via the processor, the layout into a plurality of cells based on the layout, wherein the plurality of cells comprises the plurality of equipments; capturing preliminary data associated with the data center; determining, via the processor, a state value of the data center based upon the preliminary data; when the state value is less than a reference state value, capturing first level thermal assessment data for each equipment in the data center, processing, via the processor, the preliminary data and the first level thermal assessment data in order to identify thermal assessment cells from the plurality cells, and capturing second level thermal assessment data corresponding to equipments present in the thermal assessment cells; capturing first level CFD data for each equipment in the data center; processing, via the processor, the first level CFD data in order to identify CFD cells from the plurality of cells; capturing second level CFD data corresponding to equipments present in the CFD cells; processing, via the processor, the second level CFD data in order to identify a sub-set of the CFD cells; capturing third level CFD data corresponding to equipments present in the sub-set of the CFD cells; and transmitting at least one of the first level thermal assessment data, the second level thermal assessment data, the first level CFD data, the second level CFD data and the third level CFD data to an external analysis tool, wherein the external analysis tool is capable of performing at least one of a thermal assessment and a Computational Fluid Dynamics (CFD) analysis using the at least one of the first level thermal assessment data, the second level thermal assessment data, the first level CFD data, the second level CFD data and the third level CFD data, thereby facilitating the optimization of the cooling efficiency of the data center.

7986842

11558826

1. A method for detecting two or more concepts in a source digital video which includes one or more digital video frames comprising: (a) segmenting the source digital video into a plurality of shots, wherein each shot includes one or more of the digital video frames; (b) identifying a keyframe within each shot, wherein the keyframe is one of the one or more of the digital video frames; (c) extracting low level features from the keyframe, wherein the low level features are representative of the two or more concepts, and are related in a graph of concepts, and wherein each concept is semi-automatically generated text associated with the one or more digital video frames, and wherein semi-automatically generated text is automatically generated text which has been manually revised; (d) training a discriminative classifier for each concept using a set of the low level features, wherein the discriminative classifier is a support vector machine; (e) building a collective annotation model combining each of the discriminative classifiers; (f) defining in the collective annotation model one or more interaction potential to model interdependence between related concepts; (g) receiving a second source digital video; (h) applying the discriminative classifiers to the second source digital video; and (i) determining a probability of a presence or absence of the two or more concepts in the low level features extracted from the second source digital video using the collective annotation model and the defined interaction potentials.

20110152964

13037780

1. An implantable medical device (IMD) comprising: a controller; a pulse generator operably coupled to the controller to deliver pacing stimuli; an atrial lead coupled with the pulse generator; a ventricular lead coupled with the pulse generator a QT detection module operably coupled with the controller to provide a QT interval to the controller; and a calculation module operably coupled with the controller to determine an AV interval for the IMD that is equal to the current cardiac cycle length (CL) minus the QT interval, wherein the controller implements the determined AV interval in a pacing mode.

20110209107

13028525

1. A mask-layout creating method for generating, using a coherence map method, a mask layout in which an auxiliary pattern is formed with respect to a design layout, the mask-layout creating method comprising: setting a design layout highly likely to be a dangerous point in a lithography process; setting, with respect to the set design layout, a coherence map kernel to generate the mask layout; creating, based on the set coherence map kernel and the set design layout, the coherence map; extracting the auxiliary pattern from the created coherence map, shaping the auxiliary pattern, and generating the mask layout; defining a cost function for evaluating an optimization degree of the mask layout and evaluating the generated mask layout using the cost function; and changing, to improve the evaluated optimization degree of the mask layout, at least one of parameters in setting the coherence map kernel and parameters in extracting and shaping the auxiliary pattern.

20040249772

10838560

1. A method of binary minimization for a complementary pair of truth tables T and F, comprising: Iteratively subdividing the T truth table into sub-tables; Solving each of the sufficiently small sub-tables independently as a minimized binary sub-equation using a genetic algorithm; Regressing back through the decomposition process to apply the genetic algorithm to reunited sub-tables; and Repeating the solution procedure until the entire T true truth table has been reunited into a minimized binary equation.

9547477

14061099

1. A non-transitory computer-readable medium that stores computer-executable instructions that are executable by a computer processor, the instructions when executed embodying a method for determining the best fitting econometric models for explaining a set of variables that comprises the steps of: receiving (i) an input dataset comprising one or more sets of initial independent variables for insertion into a data grid, (ii) an input selection of criteria identifying types of econometric models to analyze, and (iii) a p-value cut-off threshold used to eliminate variables when performing an econometric model analysis; generating one or more sets of intermediate independent variables derived from said one or more sets of initial independent variables; generating a plurality of econometric models which are based on said selection criteria and said one or more sets of initial and intermediate independent variables, wherein each model of said plurality of models contains one or more independent variable from said one or more sets of initial and intermediate independent variables; calculating p-value for each dependent variable contained in each model of said plurality of models; storing each calculated p-value in memory; eliminating one or more of said one or more independent variables from each of said models as insignificant whenever said one or more independent variables have a p-value greater than said p-value cut-off threshold; and presenting a report of best-fitting models wherein all of the independent variables' p-value is greater than said p-value cut-off threshold.

20080227066

11686959

1. A method for developing and maintaining problem resolution flow charts, comprising: authoring a dependency matrix of questions and states describing a problem to be resolved; generating a flowchart from the dependency matrix; and testing the flowchart.

8020148

10428733

1. A software testing method comprising the steps of: providing software having a plurality of data variables and function arguments, wherein the software is software to be tested for errors; executing the software to be tested for errors; and while the software is executing, and without halting the execution, changing or replacing, within the software to be tested for errors, the data variables or function arguments during the testing process by: identifying an address location for at least one of the data variables or function arguments used by the software; outputting any data variables or function arguments stored in the address location to a test system to thereby monitor the data variables or function arguments; and inputting other data variables or function arguments from the test system into the address location to thereby replace any data variables or function arguments previously stored in the address location, wherein the data inputted into the address location is generated based on the data outputted from the address location during a previous iteration and the data inputted into the address location comprises a test vector of data generated based on data outputted from the address location during a previous iteration.

8432263

12444466

1. A system for collecting, storing, analyzing and reporting event information which comprises a central server operable to send and receive electronic signals; at least one radio frequency identification tag being associable with a person; an alarm, the alarm being operable by the person, the alarm being operable to initiate an event call signal from the person to the central server and to record a description of the event; a first electronic device associable with a responder, the first electronic device being in communication with the server and being operable to receive the event call signal, the first electronic device being operable to collect a first set of data or information from the radio frequency identification tag associated with the person when the responder is in proximity to the electronic tag, the first electronic device being operable to receive a radio frequency transmission of information particular to the person comprising the identity of the patient, the language the patient speaks and a description of the event experienced by the person, the first electronic device further comprising a data input means and a data display means, that data input means operable to present a query and a plurality of optional responses to the query on the data display means, to allow a user to select one of the plurality of optional responses to the query, to present additional queries to a user and being operable to transmit the plurality of responses to the query and to the additional queries to the central server; and a second electronic device associable with a trainer, the second electronic device being in communication with the server and being operable to receive and display the same information as is shown on the first electronic device, the second electronic device being operable to record feedback and to transmit the feedback to the first electronic device.

9588580

13632811

1. A system for aiding a user in making decisions with respect to products and services listed on the Internet comprising: a. a remote access device configured to permit the user to input data and review results; b. a server in communication with the remote access device and the Internet, said server programmed to: i) capture user preferences input through the remote access device, the user preferences comprising level of importance designations for a plurality of criteria within a plurality of categories for a single-product domain, wherein each category is classified as a want or a need, the level of importance designations being selectable by the user to designate each of the criteria in a manner that provides binary certainty, the binary certainty having a first test being whether each of the criteria is not important or has importance, and having a second test applicable to any criteria that has importance being whether each of the criteria is less important or more important; ii) calculate an overall stated importance for each category based on the level of importance designations for each of the criteria within the respective category; iii) return a set of single-product domain results, via a neural network engine, in an order determined by performing steps comprising: a) designating a degree-of-fit for a plurality of provider offerings of the single-product domain, the degree of fit being determined based on pre-determined but non-static fit percentage thresholds, and the degree of fit designation indicates whether each provider is most relevant, relevant, or less relevant; b) devaluing the degree-of-fit for any provider offering for which the percentage calculation for a category classified as a need is below a pre-determined need percentage threshold and the overall stated importance designation indicates high importance, such that a provider offering designated a Most Relevant status prior to devaluation is demoted to the status of Relevant, and a provider that designated as a Relevant status prior to devaluation is demoted the status of Of Interest; iv) return a set of multi-product domain results, via the neural network engine, in an order determined by performing steps comprising: a) defining the criteria selected by the user under the first test of the binary certainty as being user-selected criteria; b) mapping the user-selected criteria to a superset of products in an ontological schema of the system to produce a subset of potential relevant products, wherein the ontological schema is structured such that each criteria and each product are classified by a set of identifiers, and where there are instances of user-selected criteria having a set of identifiers that mathematically ensures a subset of the set of products is generated by the system; v) display the returned sets of provider results for the single-product domain and the multi-product domain on the remote access device.

20090234485

12049565

1. A method of performing measurement sampling in a production process, the method comprising: passing a lot through a production process; employing a set of combinational logistics to determine if sampling is indicated and, if sampling is indicated, establishing a sampling decision; querying a set of lot sampling rules to evaluate the sampling decision; evaluating a statistical quality of the process if no set of lot sampling rules exists; and automatically determining whether the lot passing through the manufacturing process requires sampling based on the combinational logistics, statistical quality and lot sampling rules.

4720866

06778524

1. A computerized stethoscopy accessory for use with a host computer comprising means for detecting sounds in a living body, means for converting said detected sounds to electrical signals, a bank of fixed-center-frequency filters having a range of center frequencies from a lowest to a highest frequency, means for applying said electrical signals to said bank of fixed-center-frequency filters, means for sampling the output of each said filter at a rate at least twice the fixed center frequency of the lowest frequency filter of said bank, an analog-to-digital converter connected to said bank of filters for converting the sampled output of each said filter to digital form, means for processing said sampled outputs in said host computer, and an output device connected to said host computer for displaying said sampled outputs in a predetermined format after processing thereof.

8482576

13447622

1. A semiotic communication system, comprising: a predefined color scheme comprising a plurality of colors each having a different assigned color meaning; a predefined pattern scheme comprising a plurality of forms each having a different assigned pattern meaning; and a structured visual ontological framework within which a set of the plurality of colors and forms are presented, the ontological framework comprising category segments representing a hierarchical arrangement of categories of forms of existence, the category segments including at least one human-oriented segment and at least one non-human oriented segment.

9892159

13828196

1. A method for generating an execution plan for a query in a relational database system, comprising: generating one or more initial logical representations of the query; performing a bounded exploration process around each of the one or more initial logical representations of the query, the performing of the exploration process around a particular initial logical representation of the query comprising applying transformation rules to generate one or more additional logical representations of the query that are logically equivalent to the particular initial logical representation of the query and that are within a maximum allowable transformation distance of the particular initial logical representation of the query, wherein each logical representation of the query comprises a plurality of operators and wherein generating the one or more additional logical representations of the query that are logically equivalent to the particular initial logical representation of the query comprises: assigning a search distance to each operator of a first logical representation of a query; applying a transformation rule to a pattern of operators within the plurality of operators of the first logical representation of the query to generate a second logical representation of the query in response to determining that (i) the pattern of operators matches a pattern associated with the applied transformation rule and (i) the search distance assigned to each operator in the pattern of operators, and that is a numerical value, is less than the maximum allowable transformation distance, the maximum allowable transformation distance being a numerical value that bounds a number of the transformation rules that can be applied to generate each one of the one or more additional logical representations of the query so that the number of transformation rules that is applied to generate each one of the one or more additional logical representations of the query is less than a total number of the transformation rules that can be applied; generating one or more execution plans for each initial logical representation of the query and each additional logical representation of the query and associating a cost with each of the generated execution plans; and selecting an execution plan having a lowest cost from among the generated execution plans.

20130035917

13555017

1. A method for simulating water, comprising: representing a three-dimensional model of a fluid volume as a two-dimensional grid of columns, wherein each column within the two-dimensional grid comprises a single tall cell and a constant number of regular cubic cells; computing one or more velocities of a fluid velocity field; and for each column in the two-dimensional grid, updating the height of the single tall cell associated with the column based on the velocities.

8644622

12512209

1. An apparatus comprising: a processor programmed to compare a first object comprising or represented by a first set of vectors in a vector space and a second object comprising or represented by a second set of vectors in the vector space by a comparison method comprising: computing a first signature based on distribution of the vectors of the first set of vectors over a set of regions of the vector space wherein statistics of the vectors of the first set of vectors in the regions are represented in the first signature by values including a binary vector for each region representing statistics of the distribution in the vector space of the vectors of the first set of vectors which lie in the region, computing a second signature based on distribution of the vectors of the second set of vectors over the set of regions of the vector space wherein statistics of the vectors of the second set of vectors in the regions are represented in the second signature by values including a binary vector for each region representing statistics of the distribution in the vector space of the vectors of the second set of vectors which lie in the region, and computing a vector set comparison measure based on the first signature and the second signature.

20090327177

12146619

1. A computer-implemented method of exploring a search space of potential solutions to an optimization problem, the method comprising: sorting the search space according to a computationally inexpensive yet efficient objective function; performing a bounded depth-first search over the search space to find intermediate sub-solutions to the problem; storing the K best sub-solutions in a storage while performing the depth-first search; finding L best partial results using sub-solutions from the storage, where result quality that would be provided by a sub-solution is measured using a low-computation objective function; and storing at least a subset of the L best partial results in memory of a computing device, the subset comprising final solutions to the optimization problem.

9462416

13562350

1. An information processing system comprising: a plurality of terminals attached to the persons comprising an organization; a base station to communicate with the terminals; and a management server coupled by way of a network to the base station, wherein each terminal includes a behavioral information sensor to acquire behavioral information of the person wearing the terminal, the behavioral information sensor including: a face-to-face sensor to detect a face-to-face meeting between the person wearing the terminal and another person wearing the terminal, and at least one of an acceleration sensor to detect acceleration and a voice sensor to detect voices, and each terminal includes a transmit device to send the behavioral information to the base station, the behavioral information including: face-to-face information corresponding to the face-to-face meeting between the person wearing the terminal and the other person wearing the terminal, and at least one of acceleration information from the acceleration sensor and voice information from the voice sensor; wherein the management server comprising a network interface coupled to the network, a processor coupled to the network interface, and a storage device coupled to the processor, wherein the storage device stores a plurality of organizational relationships in an organizational structure among the plurality of persons within the organization, and wherein the processor: stores the behavioral information received by way of the network interface into the storage device, calculates a relational characteristic quantity of one or more types for each person in each of the organizational relationships relative to each other person in the organizational relationship based on at least one of the face-to-face information, the acceleration information and the voice information, wherein the relational characteristic quantity comprises at least one of a face-to-face time between the person and the other person, a bidirectional time where the person and the other person were both active, a pitcher time where the person was active and the other person was inactive, a catcher time where the person was inactive and other person was active, a sit-together time where the person and the other person were both inactive, and a synchronicity degree where the person transits from inactive to active when the other person is active, calculates a relational coefficient based on a change in the relational characteristic quantity resulting from a past change in one or more of the organizational relationships in the organization structure, receives a proposed change in one or more of the organizational relationships in the organizational structure, determines a change in the relational characteristic quantity of each person in the organizational structure resulting from the proposed change in the one or more organizational relationships using the calculated relational coefficient, and outputs the change in the relational characteristic quantity of each person in the organizational structure resulting from the proposed change in the one or more organizational relationships.

7647098

11262906

1. A system for prediction of cognitive decline of a patient during a future time period, comprising: an input receiving input data corresponding to brain activity of a patient; and a processor coupled to the input for analyzing the input data to obtain an input set of values for a selected set of features, the processor being configured to compare the input values to a comparison set of values for the selected set of features derived from at least a portion of entries in a database corresponding to brain activity of a plurality of individuals, wherein entries in the database have been separated into a plurality of categories corresponding to a degree of cognitive decline of the individuals when the data was collected and a degree of cognitive decline of the individuals during a period of time subsequent to the collection of the data, the processor determining, based on the comparison, a category most closely corresponding to the selected set of features.

9047091

13683702

1. A method of collective operation protocol selection in a parallel computer, the parallel computer comprising a plurality of compute nodes, the method comprising: calling a collective operation with one or more operating parameters; selecting one of a plurality of protocols that define execution of the collective operation, including, iteratively, for each protocol beginning with a first prospective protocol until a prospective protocol meets predetermined performance criteria: providing, to a protocol performance function for the prospective protocol, the operating parameters of the collective operation; determining, by the performance function, whether the prospective protocol meets predefined performance criteria for the operating parameters, including evaluating, with the operating parameters, a predefined performance fit equation for the prospective protocol, calculating a measure of performance of the prospective protocol for the operating parameters, and determining that the prospective protocol meets predetermined performance criteria; and selecting the prospective protocol as the protocol for executing the collective operation only if the calculated measure of performance is greater than a predefined minimum performance threshold; and executing the collective operation with the selected protocol.

20030126023

10287775

1. A method for planning the replenishment of supply chain resources by manufacture in order to fulfill demand as defined by an order, wherein said order comprising of attributes, comprising the steps: determining attribute data relating to said order, wherein said data includes a stocking keeping unit that is associated with said order; associating a bill of material to said order based on said attribute data; associating one or more stock keeping unit attribute definition groups to said bill of material; evaluating said bill of material by evaluating said one or more stock keeping unit attribute definition groups; selecting one or more of said one or more stock keeping unit attribute definition groups based on said evaluation of said one or more stock keeping units; determining a feasible configuration associated with said selected one or more stock keeping unit attribute definition groups, said feasible configuration defining one or more feasible resources; and generate an output based on said feasible configuration.

20090204233

12028208

1. A method comprising: obtaining a preliminary model associated with a system to be controlled; constructing a weighted model using one or more weighting factors; identifying a final model of the system using the preliminary and weighted models, the final model having a stability margin that is greater than an uncertainty associated with the final model; and controlling the system using a controller designed based on the final model.

20180123541

15342061

1. A method for fabricating an acoustic resonator device, the method comprising: providing a substrate having a substrate surface region; forming a single crystal piezoelectric layer overlying the substrate surface region, the piezoelectric layer having a top piezoelectric surface region and a bottom piezoelectric surface region; forming a topside energy confinement structure overlying the top piezoelectric surface region, the topside energy confinement structure being characterized by a topside structure geometric area and a topside structure perimeter, the topside energy confinement structure having at least one portion removed forming a topside structure break region; forming a topside metal electrode overlying the top piezoelectric surface region and within the topside energy confinement structure, the topside metal electrode being characterized by a topside electrode geometric area; and forming a backside trench within the substrate exposing the bottom piezoelectric surface region, the backside trench underlying the topside metal electrode, the backside trench being characterized by a cavity geometric area.

7882148

11048703

1. A computer system for modeling a context representation in a business application, comprising: a database storing at least one collection of references to a plurality of entities; and a processor executing instructions to: determine a subset of the plurality of entities that are relevant to a current context, the current context comprising a combination of at least a user context and a session context, the user context comprising at least one of a role, project, or personal preference, and the session context comprising at least one of a last action or a manipulated business entity, assign an activation attribute to at least one context entity included in the determined subset, the at least one context entity having a temporal validity, and the activation attribute indicating an importance level of the at least one context entity in the current context, and model the context representation using the activation attribute assigned to the at least one context entity, wherein the modeling comprises using a semantic net data structure comprising nodes and relationships between the nodes, wherein the context representation is modeled to include an entity related to the at least one context entity, and the importance of the related entity is derived from the activation attribute of the at least one context entity referring to the related entity, and the indicated importance is determined in accordance with the sum of the products of the activation attribute values of the referring at least one context entity and a weighting factor assigned to the relation type linking the at least one context entity and the referred entity.

9135376

13875143

1. A method comprising: identifying multiple subspaces of a set of input vectors of a design; running a numerical solver on the multiple subspaces previously identified, the numerical solver determining if any solution to a set of input constraints exists in the multiple subspaces; and searching, in hierarchical stages, the multiple subspaces for unique input vectors that satisfy the set of input constraints, the searching using a different seed for each of the hierarchical stages, and the searching excluding at least a portion of at least one of the multiple subspaces based upon the numerical solver determining that no solution to the set of input constraints exists in the at least one of the multiple subspaces.

8898163

13025521

1. A method comprising: identifying a user associated with a text expression containing one or more content-indicative words; classifying data of the text expression using one or more classifiers, said classifying comprising using the one or more content-indicative words to identify an intent of a user, the intent comprising a semantic meaning of the text expression, the one or more content-indicative words including one or more of: at least one temporal keyword, and at least one action keyword; and on determination of intent of a user based on said identifying and classifying, providing to the user data related to the intent of the user obtained in real-time from a set of information repositories; wherein the intent of the user comprises at least one of structured data and unstructured data; and said classifying comprises employing a Δ-TFIDF based analyzer and at least one classifier selected from the group consisting of: a co-occurrence driven analyzer; a part-of-speech analyzer; a rule-based analyzer; a dependency grammar based analyzer.

20120179800

13346474

1. A method implemented in a network element in a network, the network element to manage load distribution across a plurality of network interfaces of the network element, the network element to redirect traffic flow directed toward the plurality of network interfaces in response to changes in configuration of the plurality of network interfaces, wherein each traffic flow is a set of protocol data units (PDUs), having an ordered delivery requirement, that are transmitted across the network between a source node and a destination node, the method comprising the steps of: generating, by a processor in the network element, a set of load distribution tables having a hierarchical relationship for mapping a traffic flow to a plurality of equal cost paths, the hierarchical relationship defining a child or parent relation for each load distribution table with another load distribution table in the set of load distribution tables, wherein a child load distribution table and a corresponding parent load distribution table in the set of load distribution tables provide alternate load distribution schemes for the traffic flow across the plurality of network interfaces relative to one another, the alternative load distribution schemes to minimize changes to an initial load distribution scheme of the corresponding child load distribution table or parent load distribution table; storing the generated set of load distribution tables in a load distribution table memory unit; detecting, by the network element, a change in the configuration of the plurality of network interfaces corresponding to a first load distribution table from the set of load distribution tables; selecting a second load distribution table from among child load distribution tables or parent load distribution tables of the first load distribution table, the second load distribution table to provide an alternative load distribution scheme to distribute traffic flow directed toward the plurality of network interfaces that minimizes changes to an initial load distribution scheme of the first load distribution table for the traffic flow; and rerouting, by the network element, the traffic flow in accordance with the alternative load distribution scheme of the second load distribution table while minimizing changes to the load distribution scheme of the first load distribution table for the traffic flow.

20100322497

12817846

1. A method for producing images, comprising: acquiring a k-space data set of an imaged object; collecting a portion of the k-space data set; and reconstructing an image from the collected portion of the k-space data set according to a convex optimization model.

7895021

11820038

1. A method that simulates performance using modules that include cellular automata (CA), fitness landscape, generic algorithm and a graphical interface for disposing of a sensor in an environment, the method comprising: modeling a first plurality of environment elements φ i from i=1,. .. , n corresponding to conditions of the environment to form a flow-field state vector Φ={φ 1 (r,t), φ 2 (r,t),. .. , φ n (r,t)}, such that each element φ i is a function of independent variables of position vector r and time t, such that at least one of the environment elements includes spatial and temporal variation; modeling a second plurality of sensor elements σ i λ from i=1,. .. , n, corresponding to characteristic functionalities of the sensor to form a sensor state vector σ={σ 1 λ ,. .. , σ n λ }, such that parameter vector λ represents sensor characteristics; covariantly coupling the environmental elements of the first plurality with the sensor elements of the second plurality to produce a third plurality of configuration elements forming a configuration space array Ω≡{φ i σ i ,. .. , φ n σ n }; combining the configuration elements to obtain a fitness function parameter, wherein at least one of the environment elements is a first vector array being covariant with a corresponding at least one of the sensor elements that is a second vector array, such that coupling the first vector array with the second vector array produces a scalar; and outputting the configurations elements to the graphical interface.

20130086568

13360127

1. A method for reducing a size of a Business Process Execution Language (BPEL) data blob for storage, the method comprising: identifying, by a computer system, one or more dehydration points within BPEL code; performing, by the computer system, a liveness analysis for the one or more dehydration points; identifying, by the computer system, at each of the one or more dehydration points, one or more live variables from a set of variables; and creating, by the computer system, an optimization data structure that for each dehydration point identifies the one or more live variables.

9934434

15198810

1. A process to assess integrity in a digital image comprising: estimating a camera response function (CRF) associated with the digital image; comparing the estimated CRF to a set of rules; comparing the estimated CRF to a known CRF, the known CRF associated with a make and a model of an image sensing device; receiving metadata stored in a header of the digital image, the metadata stored in the header of the digital image identifying a make and a model of an image sensing device that created the digital image; receiving metadata stored in a database, the metadata stored in the database associated with the make and model of the image sensing device that created the digital image; comparing the metadata stored in the header of the digital image to the metadata stored in the database that is associated with the make and model of the image sensing device that created the digital image; applying a fusion analysis to results obtained from comparing the estimated CRF to a set of rules, from comparing the estimated CRF to the known CRF, and from comparing the metadata stored in the header of the digital image to the metadata stored in the database that is associated with the make and model of the image sensing device that created the digital image; and assessing the integrity of the image as a function of the fusion analysis.

8954361

13956317

1. A computer-readable medium storing computer-executable process steps for providing resources to participants over an electronic network, said process steps comprising: maintaining a collection of resources, wherein both the collection and the resources can be accessed by a participant over the electronic network at any given time; assigning points to individual resources based on an amount of participant access of said individual resources over the electronic network; and modifying the collection based on the points assigned to the resources, wherein the participants are registered users of a site on the electronic network where the collection of resources is available, and wherein at least one of: (1) the participants register for the site at different subscription levels; or (2) individual resources are assigned scores based on the points assigned to said individual resources, and wherein points assigned more recently are weighted more heavily in determining the score than are points assigned less recently.

8352226

11669921

1. A method for real-time oil and gas field production optimization using a proxy simulator, comprising: establishing a base model of a physical system in at least one simulator, wherein the physical system comprises at least an oil well and a processing system and wherein the at least one simulator simulates a flow of fluids in the oil well; defining boundary limits including an extreme level for each of a plurality of control parameters of the physical system, wherein the plurality of control parameters comprise a set of design parameters; fitting data comprising a series of inputs, the inputs comprising values associated with the set of design parameters, to outputs of the at least one simulator utilizing a proxy model, wherein the proxy model is a proxy for the at least one simulator; utilizing an optimizer with the proxy model to automatically determine design parameter value ranges; automatically generating, on a computer, utilizing the determined design parameter value ranges from the proxy model for real-time optimization and control with respect to selected parameters over a future period, a simultaneous display of a plurality of graphs, each of the plurality of graphs showing a plurality of predicted valve settings for optimizing production in the oil well, wherein each graph in the plurality of graphs represents a well location of the oil well and an associated valve location for regulating the fluid flow into the oil well, wherein a first axis of each graph in the plurality of graphs shows a range of predicted valve settings for the associated valve location for the oil well, and wherein a second axis of each graph in the plurality of graphs shows a range representing increments of time over the future period; and utilizing the simultaneously displayed plurality of graphs for real-time oil and gas field production optimization.

8209238

12821490

1. A computer-implemented method for developing a design, comprising: electronically distributing via a communications server and an electronic network a first specification for the creation of a graphical design to a distributed community of designers, each designer having a rating based at least in part on previously submitted designs; receiving, via the electronic network and communications server, designs from each of a subset of the community of designers in response to the distributed design specification; screening received designs that do not meet the first specification; electronically distributing a second specification comprising refinements of the first specification based on the received designs; receiving, via the electronic network and communications server, updated designs in response to the second specification; facilitating evaluation of a subset of the received updated designs by a number of evaluators using a scorecard; selecting a preferred design of a winning designer in response to the facilitated evaluation of the designs; and updating the rating of the winning designer.

8219995

11692276

1. A data processing system comprising: one or more system resources that are accessible to processes executing within multiple logical partitions, wherein the one or more system resources comprise at least one processor; a partitioning firmware that enables sharing of the one or more system resources across multiple logical partitions, each logical partition having a separate instance of an operating system, wherein said partitioning firmware further allocates specific entitlements of system resources to processes executing within each of the multiple logical partitions; and a processor executable utility that executes on a processor of the data processing system to cause the processor to perform the functions of: sampling one or more statistical data associated with performance characteristics of the logical partitions; analyzing said statistical data against pre-established scheduling criteria by: evaluating a measured change in cycles per instruction (CPI) over time; comparing said measured change to a pre-set threshold value of change; and calculating start up costs for the partition based on a time required for the measured change of the CPI to transition to a value equal to or below the pre-set threshold value; wherein a first measured change indicates the partition is still establishing a footprint and a second measure change indicates the partition is operating at steady state and completing actual work; and periodically sampling the CPI of the partition to determine whether a next measured change in the CPI indicates a re-establishing of the footprint of the partition; dynamically determining a most efficient scheduling of the multiple logical partitions and an allocation of the system resources to the multiple logical partitions based on a result of said analyzing of the statistical data; and making dispatch decisions and tuning (a) the scheduling of the multiple logical partitions and (b) the allocation of the system resources to the multiple logical partitions utilizing a result of the determining of a most efficient scheduling based on analyzing the statistical data.

7743350

11119489

1. Logic for circuit verification, the logic encoded in one or more media for execution using one or more processors and when executed operable to: access a logic-level description of a circuit generated from a register transfer (RI)-level description of the circuit; apply logic optimization to the logic-level description to simplify the logic-level description for satisfiability (SAT)-based bounded model checking (BMC) of the circuit using the logic-level description to generate a simplified logic-level description; verify the circuit by (i) performing a first iteration of a SAT-based BMC process on the simplified logic-level description; (ii) isolating information learned from the first iteration of the SAT-based BMC process; and (iii) applying the isolated information from the first iteration of the SAT-based BMC to a second iteration of the SAT-based BMC process subsequent to the first iteration; and communicate the results of the circuit verification to a user.

8306818

12103035

1. A computer-implemented classification method, comprising: estimating a set of parameters for each of a plurality of n-gram language models, each n-gram language model being associated with a different category of subject matter, the sets of parameters being estimated utilizing training data that includes main data and held-out data, the sets of parameters including relative frequencies that are estimated using the main data, the relative frequencies being estimated utilizing a context sensitive conditional maximum likelihood (CML) weight, the context sensitive CML weight being set to a maximum value that is greater than zero at each iteration and then lowered separately for each context, the relative frequencies being iteratively re-estimated utilizing a ratio of a maximum likelihood count to a CML count; utilizing a computer processor that is a functional component of a computer to produce the sets of parameters for at least two of the n-gram language models jointly in relation to one another through an application of a rational function growth transform, a number of iterations of the rational function growth transform being tuned using the held-out data, the maximum value of the CML weight also being tuned using the held-out data; and utilizing the sets of parameters of the plurality of n-gram language models that are produced at least partially jointly in relation to one another as a basis for supporting a determination as to which of the categories of subject matter is best correlated to a given natural language input, wherein the category of subject matter that is best correlated to the given natural language input is information other than a textual representation of the given natural language input itself.

20110293187

12788852

1. A method of interpreting an image comprising: finding a configuration of multiple variables which optimizes an objective function with a factorizable upper bound, where factorizable means that the upper bound is, or can be manipulated into the form of a sum of non-interacting parts or a product of non-negative interacting parts by: applying an iterative algorithm that relies on efficient dynamic ordering of elements known as candidate configurations, in a priority queue, in a descending order of an upper bound score.

20090191547

12077966

1. A method for detecting one or more sequence changes in a plurality of target nucleic acid sequences in a nucleic acid sample comprising the steps of: a) performing a multiplexed PCR reaction on the nucleic acid sample in the presence of a plurality of target specific PCR primer pairs, wherein each said target specific PCR primer pair comprises a first and second target specific primers and is specific for one of said plurality of target nucleic acid sequences to generate a plurality of amplified products; wherein the first target specific primer comprises a first 5′ region which contains the same sequence for all first target specific primers and a first 3′ region specific for one of the plurality of target nucleic acid sequences; the second target specific primer comprises a first 5′ region which contains the same sequence for all second target specific primers and a second 3′ region specific for one of the plurality of target nucleic acid sequences; b) performing a PCR reaction on said plurality of amplified products with a first and second amplified product specific primer which is specific for said plurality of amplified products; wherein the first amplified product specific primer comprises a 3′ region identical to the first 5′ region of the first target specific primer, the second amplified product specific primer comprises a 3′ region identical to the second 5′ region of the second target specific primer, c) generating homoduplexes and heteroduplexes from the amplified products; d) detecting the presence of the heteroduplexes as an indicator of the one or more sequence changes.

8401251

12863132

1. A face pose estimation device estimating a face pose representing at least an orientation of a face from a face image in which the face is captured in a time series manner, the device comprising: a face organ detector that detects a face organ from the face image; a face pose candidate set generator that generates a face pose candidate set, which is a set of face pose candidates to be estimated; a first similarity estimator that computes a first similarity according to a first parameter corresponding to respective positions of each face organ of each element of the face pose candidate set generated by the face pose candidate set generator and an actual face organ detected by the face organ detector; a second similarity estimator that computes a second similarity according to a second parameter corresponding to a pixel value according to displacements of each face image of the face pose candidate set generated by the face pose candidate set generator and an actual face image detected as a detection target by the face organ detector with respect to each predetermined reference pose; a first likelihood estimator that computes a first likelihood corresponding to the first similarity computed by the first similarity estimator; a second likelihood estimator that computes a second likelihood corresponding to the second similarity computed by the second similarity estimator; an integrated likelihood estimator that computes an integrated likelihood representing a degree of appropriateness of each element of the face pose candidate set by using the first and second likelihoods; and a face pose estimator that estimates the face pose on the basis of the face pose candidate having the highest integrated likelihood computed by the integrated likelihood estimator, the integrated likelihood being considered by the face pose candidate set generator for generating a face pose candidate set in the next time step.

9075159

13156190

1. A computer-implemented method for determining properties of a subsurface region of interest from actual seismic data comprising: a. obtaining actual seismic data representative of the subsurface region and selecting an arbitrary initial earth property model from a data source or generating an arbitrary initial earth property model for the subsurface region; b. performing forward modeling, using the arbitrary initial earth property model, to create modeled seismic data with similar acquisition specifications as the actual seismic data; c. transforming the modeled and actual seismic data to a temporal Fourier frequency domain to create frequency domain modeled and actual seismic data wherein the frequency domain modeled and actual seismic data includes an amplitude portion and a phase portion; d. measuring the misfit between the frequency domain modeled seismic data and frequency domain actual seismic data to produce frequency domain residual seismic data; e. performing phase unwrapping of the phase portion of certain observed frequency components of the frequency domain residual seismic data to create an unwrapped residual phase portion; and f. inverting the unwrapped residual phase portion to determine desired properties of the subsurface region of interest, wherein the inverting minimizes an objective function defined to measure the misfit, and wherein the performing forward modeling, transforming, measuring, performing phase unwrapping, and inverting steps are performed by a computer processor.

20030125044

10093751

1. A method for use in a wireless communication network, the method including: maintaining forward link calibration and associated uncertainty; and using the forward link calibration and associated uncertainty to improve the accuracy of terrestrial range measurements and obtain more accurate determination of the position of at least one mobile station within the wireless communication network.

9483582

14484489

1. A method for verifying factual assertions in natural language, the method comprising: monitoring a natural language input, wherein the natural language input includes an audio input; processing the audio input into a digital input by an audio input processing module; transmitting the digital input to a transcription module; transcribing the digital input into a natural language text input by a speech transcription engine within the transcription module which matches the audio input to one or more acoustic models detailed by an electronic database; identifying a phrase within the natural language text input, wherein the phrase comprises a subject, an object, and a relation; determining if the phrase is a statement of opinion; determining if the phrase is an indication of a consequence of a prior statement; identifying the phrase as a factual assertion if the phase is not a statement of opinion and not an indication of a consequence of a prior statement; verifying the factual assertion in the natural language text input; and outputting a notification to a user of a result of the verification.

20140272884

13798417

1. A method, in a data processing system comprising a processor and a memory, for configuring a ranker array of a question and answer (QA) system, comprising: generating, by the data processing system, an initial configuration of a ranker array of the QA system, wherein the ranker array comprises a plurality of rankers, and wherein each ranker in the ranker array applies a statistical classification function to candidate answers generated by the QA system in response to an input question to generate a ranked listing of candidate answers; inputting, by the data processing system, a training question to the QA system to generate a training candidate answer set; applying, by the data processing system, the ranker array to the training candidate answer set to generate, for each ranker in the ranker array, a ranked listing of candidate answers in the training candidate answer set; determining, by the data processing system, for each ranker in the ranker array, correctness of a corresponding ranked listing of candidate answers; and reconfiguring, by the data processing system, the ranker array based on results of the determined correctness of the corresponding ranked listing of candidate answers for each ranker in the ranker array.