doc_id
stringlengths 7
11
| appl_id
stringlengths 8
8
| flag_patent
int64 0
1
| claim_one
stringlengths 13
18.4k
|
|---|---|---|---|
20090059449 | 12290246 | 0 | 1. A circuit interrupter for interrupting current on a line conductor, comprising: separable contacts in electrical communication with the line conductor; a trip mechanism for selectively opening said separable contacts upon receipt of a trip signal; a sensor in electrical communication with the line conductor; a processing device in electrical communication with said trip mechanism; a series arc detection sequence resident on said processing device, said series arc detection sequence comprising a plurality of series fault detection algorithms; and at least one filter circuit providing at least one signal from said sensor to said series arc detection sequence, said sequence selecting a particular algorithm from said plurality of algorithms based on said at least one signal, calculating a plurality of statistical features from said at least one signal, and generating said trip signal based on a comparison of said plurality of statistical features to said particular algorithm. |
20150347922 | 14291720 | 0 | 1. A method of multi-model blending, comprising: obtaining, with a processing device, one or more sets of predictions of historical conditions, the historical conditions corresponding with a time T that is historical in reference to current time, and the one or more sets of predictions of the historical conditions being output by one or more models; obtaining actual historical conditions, the actual historical conditions being measured conditions at the time T; assembling a training data set including designating the one or more set of predictions of historical conditions as predictor variables and the actual historical conditions as response variables; training a machine learning algorithm based on the training data set; and obtaining a blended model based on the machine learning algorithm. |
7585466 | 09618178 | 1 | 1. A method of determining the genotype of a subject at a locus within genetic material obtained from a biological sample from the subject, the method comprising: (A) reacting the material from said biological sample at the locus to produce a first reaction value indicative of the presence of a first allele at the locus within said genetic material, wherein the first reaction value is a measure of the intensity of a first allele-specific quantitative signal; (B) reacting the material from said biological sample at the locus to produce a second reaction value indicative of the presence of a second allele at the locus within said genetic material, wherein the second reaction value is a measure of the intensity of a second allele-specific quantitative signal; (C) calculating a set of probability distributions from a set of input data, wherein said set of input data is obtained under conditions that are comparable to the conditions under which the first reaction value and the second reaction value are obtained wherein said set of probability distributions comprises at least one probability distribution, that associates a hypothetical first reaction value and a hypothetical second reaction value with a corresponding probability for each a genotype of interest at the locus; (D) applying the first reaction value of step (A) and the second reaction value of step (B) to each probability distribution for each genotype of interest within said set of probability distributions of step (C) to determine a measure of a conditional probability of each genotype of interest at the locus, wherein the conditional probability is a measure of the likelihood of the genotype of interest at the locus given the first reaction value of step (A) and the second reaction value of step (B); and (E) determining the genotype of said subject at the locus based on the measure of conditional probability of step (D) of each genotype of interest at the locus for said subject, wherein each allele is a single specific nucleotide. |
20120246122 | 13052661 | 0 | 1. A method comprising: commencing an authoring session to generate a workflow model having a plurality of tasks; utilizing at least one processor, generating a data-handling policy for a data context of a task from a plurality of tasks, the data context comprising one or more data objects; and storing the data-handling policy as associated with the workflow model. |
10003836 | 14694912 | 1 | 1. A method for training a model in order to improve the model's estimation of media asset ratings, the method comprising: receiving, using communications circuitry, first preference information of a first plurality of users, wherein the first preference information is from a first data space and describes preferences of the first plurality of users with respect to a first plurality of media assets; receiving, using the communications circuitry, second preference information, wherein: the second preference information (1) is from a second data space that is different from the first data space, (2) describes preferences of a second plurality of users with respect to a second plurality of media assets, and (3) is computed using a different metric than a metric that the first preference information is computed using and wherein the second data space is managed by a content provider that does not manage the first data space; normalizing, using control circuitry, the first preference information and the second preference information such that both the first preference information and the second preference information are converted to a scheme on which a common metric may be applied; determining, using the control circuitry, using the normalized first preference information and the normalized second preference information, a user's level of enjoyment with respect to a media asset based on the common metric, wherein the first preference information and the second preference information each comprise data describing the user's level of enjoyment of the media asset; determining, using the control circuitry, an expected level of enjoyment that the user is expected to have with respect to the media asset as calculated by the model; determining, using the control circuitry, an error value, wherein the error value is based on a comparison between the user's level of enjoyment and the expected level of enjoyment; determining, using the control circuitry, trainable parameters of the model, wherein the trainable parameters of the model comprise updatable values used to improve accuracy of the expected level of enjoyment of the user with respect to the media asset as calculated by the model; transmitting, using the communications circuitry, a request to a remote server hosting the model, for a plurality of weights stored at the remote server, where each weight of the plurality of weights corresponds to a trainable parameter of the model; receiving, using the communications circuitry, the plurality of weights in response to the request; updating, using the control circuitry, and based on the error value, the plurality of weights; and transmitting to the remote server, using the communications circuitry, the updated plurality of weights and an instruction to replace the plurality of weights stored at the remote server with the updated plurality of weights. |
9471851 | 14754012 | 1 | 1. A method, comprising: recognizing semantic concepts in a set of images and assigning semantic scores for the images to predict a gender of a user; performing gender prediction from visual content and textual content in the images to respectively generate visual-based gender predictions and textual-based gender predictions; and combining, using multimodal information fusion, the visual-based gender predictions, the textual-based gender predictions, and the semantic scores, to infer a gender of a user. |
8695106 | 12968520 | 1 | 1. A computer implemented method for analyzing data of a first user, wherein an asymmetric cryptographic key pair is associated with the first user, said asymmetric cryptographic key pair comprising a public key and a private key, the data being stored pseudonymously in a database, the data being assigned to an identifier, wherein the identifier comprises the public key, the method for analyzing data of a first user comprising performing the following steps on a processor: generating the public key and the private key according to the following method: entering a user-selected secret, storing the user-selected secret in memory, computing the private key by applying an embedding and randomizing function onto the secret, storing the private key in memory, computing the public key using the private key, the public key and the private key forming the asymmetric cryptographic key pair, erasing the secret and the private key from the memory, as well as any intermediate computation result, and outputting the public key, receiving a set of rules, the set of rules describing data processing steps, receiving the identifier, retrieving the data assigned to the identifier from the database, analyzing the retrieved data by applying the set of rules, and providing a result of the analysis; the public key being the public key of the first or a second user and the private key being the private key of the first or the second user. |
9578843 | 15012069 | 1 | 1. A plant, a plant part, or a seed of soybean variety AR1310870, wherein a representative sample of seed of said soybean variety AR1310870 has been deposited under ATCC Accession Number PTA-122753. |
20090326885 | 12163872 | 0 | 1. A computer program product comprising one or more computer-readable media having thereon one or more computer-executable instructions that, when executed by one or more processors of a computing system, cause the computing system to instantiate an analytics-driven model view composition application that includes: a data-model binding component configured to bind model input data to one or more of a plurality of model parameters; an analytics solver mechanism configured to solve for one or more output model variables using one or more input model variables and using a plurality of analytical relationships between the plurality of model parameters; a view composition mechanism configured generate a view composition that at least in part depends on a value of the solved one or more output model variables; and a model importation mechanism configured to allow a user to import at least a portion of a pre-existing analytics-driven model into a current analytics-driven model, wherein when a portion of a pre-existing analytics-driven analytics model is imported, it supplements the plurality of model parameters with one or more additional model parameters and supplements the analytical relationships with one or more additional analytical relationships, thereby triggering the analytics solver mechanism to re-solve for model parameters within the supplemented plurality of model parameters and with the supplemented plurality of analytical relationships. |
8719211 | 13018424 | 1 | 1. A method for determining an estimated relatedness between a first node and a second node in a graph comprising a plurality of nodes and a plurality of edges, the method comprising: selecting a subset of sample nodes comprising at least one node from among the plurality of nodes; determining a plurality of transition probabilities between each sample node in the subset of sample nodes and each other node comprising the plurality of nodes; storing the plurality of transition probabilities; and determining a resultant transition probability between the first node and the second node through at least one sample node based on the plurality of transition probabilities. |
20020082963 | 09748585 | 0 | 1. A method for analyzing a capital investment in medical resources for a medical facility, the method comprising: providing access to an investment analysis system via a network; providing a network interface for communication with the investment analysis system, the network interface comprising a form for transmitting client data to the investment analysis system; analyzing the client data with the investment analysis system, wherein the client data comprises financial data relating to a desired capital investment in medical resources for the medical facility; generating an investment analysis report of the desired capital investment, wherein the investment analysis report is tailored to the client data; and transmitting the investment analysis report to a client via the network. |
20140309987 | 13861556 | 0 | 1. A method for reconciling detailed transaction feedback comprising: detecting, by one or more computer processors, a rating of a transaction, the rating classified as indicating a negative experience; mining the sentiment of words in feedback text that is included with or as part of the rating to detect whether the words indicate positive sentiment or negative sentiment; responsive to determining that the words in the feedback text indicate that the text indicates a positive sentiment, adjusting the rating of the transaction. |
20060190420 | 11062508 | 0 | 1. An assisted decision-making system that generates and evaluates a plurality of courses of action (COAs) for a problem of interest having an associated set of problem characteristics, comprising: a case based reasoner that generates an initial set of courses of action, each course of action comprising a plurality of COA packages and a set of associated fitness parameters, according to the associated problem characteristics; a genetic algorithm that refines the initial set of courses of action, according to a set of global influence values, to produce at least one optimized course of action; and a user interface that allows a user to adjust at least one value from the set of global influence values and the set of fitness parameters associated with each optimized course of action. |
20150073797 | 14539221 | 0 | 1. A method comprising: overgenerating potential pronunciations by converting portions of symbolic input into a number of possible lexical pronunciation variants based on an established set of conversion rules, wherein the symbolic input comprises labeled speech data; selecting, via a processor of a computing device, pronunciations in a speech recognition context from the potential pronunciations, to yield selected potential pronunciations; and retraining the established set of conversion rules based on the selected potential pronunciations. |
20080133039 | 11530871 | 0 | 1. A method for modeling a batch process manufacturing facility, comprising: selecting a sequence of unit operations, wherein each of the sequence of unit operations has an identifier code; selecting a set of scheduling cycles for each of the sequence of unit operations, where the set of scheduling cycles can relate to one another in nested levels; using the identifier code to obtain operational parameters for each of the sequence of unit operations; defining one or more discrete tasks for each of the sequence of unit operations; generating a process time line using the operational parameters, the discrete tasks, the sequence of unit operations, and the set of scheduling cycles for each of the sequence of unit operations, wherein the process time line is used as a tool for batch processing and facility design; and wherein defining one or more discrete tasks for each of the sequence of unit operational parameters includes: defining a default task execution option for a given unit operation task at the unit operation sub-cycle level defining a task execution option for a given discrete unit operation task at a design cycle level higher than the unit operation sub-cycle level where there exists a plurality of design cycle iterations. testing the task execution options for each discrete unit operation task during the generation of the process time line; and including or excluding in the process time line, at the respective design cycle level, an adjusted task duration for each of the discrete tasks associated with each of the sequence of unit operations in the process time line depending on the results of the tests. |
20140095422 | 14014707 | 0 | 1. A method comprising: receiving, by a computer system comprising computer hardware, an identity of a metric of interest and a future time point; retrieving, by the computer system, a prediction configuration previously associated with the metric of interest, the prediction configuration comprising a period combination; wherein the period combination comprises a plurality of time periods, each time period comprises one or more segments, and each segment of the one or more segments comprises adapted historical values of the metric of interest incrementally inserted therein; for each time period of the plurality of time periods: the computer system identifying, for the future time point, a corresponding segment of the one or more segments; accessing, by the computer system, a set of adapted historical values from the corresponding segment; and computing, by the computer system, an intermediate predicted value from the set of adapted historical values; and calculating, by the computer system, a predicted value for the metric of interest based on the computing. |
10083273 | 13949212 | 1 | 1. A method for measuring the amounts of fetal chromosome segments in a maternal blood sample, comprising: obtaining fetal and maternal chromosome segments from cell-free DNA in a maternal blood sample; ligating at least one adapter to the chromosome segments, wherein the at least one adapter comprises a universal amplification sequence; performing universal amplification using universal primers that bind to the universal amplification sequence to generate amplified chromosome segments; performing clonal amplification of the amplified chromosome segments to generate clonally amplified chromosome segments; and measuring the amounts of clonally amplified fetal chromosome segments by performing next generation sequencing, wherein the measuring comprises quantitative allele measurements performed irrespective of allele value. |
9898552 | 14733248 | 1 | 1. A system comprising: a processor; a data bus coupled to the processor; and a computer-usable medium embodying computer program code, the computer-usable medium being coupled to the data bus, the computer program code used for refining cognitive insights using cognitive graph vectors and comprising instructions executable by the processor and configured for: storing travel-related data from a plurality of data sources within a cognitive graph; associating a first set of the travel-related data within the cognitive graph with a first travel-related cognitive graph vector of a plurality of travel-related cognitive graph vectors; associating a second set of the travel-related data within the cognitive graph with a second travel-related cognitive graph vector of the plurality of travel-related cognitive graph vectors; processing the travel-related data from the plurality of data sources to provide travel-related cognitive insights; and refining the travel-related cognitive insights based upon a limitation relating to one of the plurality of travel-related cognitive graph vectors. |
7774471 | 11763010 | 1 | 1. A method of establishing a schedule for processing a job in a compute environment, the method comprising: converting a topology of a compute environment to a plurality of endpoint-to-endpoint paths, wherein the compute environment comprises compute resources that are reserved by a workload manager; based on the plurality of endpoint-to-endpoint paths, mapping each replica resource of the compute resources to one or more endpoints where each respective resource is available; iteratively identifying schedule costs associated with the one or more endpoints; and committing a selected schedule cost from the identified schedule costs for processing a job using reserved compute resources based on the committed selected schedule cost in the compute environment. |
8909703 | 12018869 | 1 | 1. A computer program product comprising a non-transitory computer useable readable storage medium having computer useable program code for facilitating a real-time virtual interaction between two or more users, said computer program product including: computer useable program code for extracting a dynamically changing context from two or more users, wherein the context comprises at least one of user-provided information and one or more items related to at least one of current activity and past activity of the two or more users; computer useable program code for analyzing the context from each user to create a distinct classification for each user; computer useable program code for comparing the distinct classification for each user with a distinct classification for each additional user, wherein comparing comprises ordering each user in terms of closeness to each additional user; and computer useable program code for using the ordering of each user in terms of closeness to each additional user to facilitate a real-time virtual interaction between two or more users. |
8485183 | 12479239 | 1 | 1. A method for respiratory support, the method comprising: providing a measured pressure; calculating a net flow based on at least one measured inlet flow and at least one measured outlet flow; using a relationship between a first value related to the measured pressure, a second value related to the measured net flow and a third value related to patient effort to provide a prediction of patient effort; updating an interim value based at least in part on the prediction of patient effort, wherein the interim value is one of a covariance matrix and a parameter vector; calculating a computed patient effort based at least in part on the interim value; and utilizing the computed patient effort to trigger a ventilation cycle. |
20080168446 | 11621665 | 0 | 1. A method for handling service requests in a data processing system, said method comprising: in response to a service request, determining a priority of said service request by mapping a context of said service request to a service level agreement (SLA); in response to a lock being acquired by another service request and concurrent processing of said service request and said another service request is not allowed, determining whether or not an existing transaction associated with said another service request can be delayed based on average processing time of said service request and said another service request; in a determination that said another service request cannot be delayed, generating an alarm and continue processing said existing transaction; and in a determination that said another service request can be delayed, preempting said existing transaction, generating an alarm and processing a transaction associated with said service request. |
20050165598 | 10953471 | 0 | 1. A system and method for modifying a language model and post-processor information, the method comprising the steps of: collecting a set of language models; collecting a set of corrected dictated reports; collecting site specific data from a user; matching each dictated report with each language model; determining a perplexity factor for each language model; and determining the language model having the lowest perplexity factor. |
20010011258 | 08791951 | 0 | 1. An optimal solution search method wherein candidates for solution to a problem are represented as chromosomes which are arrangements of genes and genetic operations are performed for individual chromosomes for each generation to successively update the generation to search for an optimal solution to the problem based on fitness values calculated from gene arrangements of the chromosomes, the optimal solution search method comprising: the fitness value updating step of updating, for each of those chromosomes for which a particular genetic operation which allows a fitness value after execution thereof to be calculated readily making use of a fitness value before the execution thereof, the fitness value based on variation information of the fitness value by execution of the particular genetic operation. |
8898104 | 13190766 | 1 | 1. A computer-implemented method of mapping data within a data source to a target data model comprising: determining an identifier for each data object of the data source based on the data within that data object, wherein the identifier indicates a corresponding entity within a source ontology of a data model of the data source to which that data object belongs, wherein the source ontology includes a plurality of entities and relations between those entities, and wherein the determining the identifier includes: identifying for each data object a partition of one or more entities in the source ontology including a greatest amount of data from that data object; and determining the identifier for each data object based on the identified partition associated with that data object; comparing the determined identifiers for the data objects of the data source to a target ontology of the target data model to determine mappings between the data objects of the data source and the target data model; and extracting data objects from the data source for the target data model in accordance with the mappings. |
7532763 | 10532773 | 1 | 1. A method for processing bit symbols generated by a data source, in particular a video, still image or audio source, comprising: constructing a plurality of bit-planes using the bit symbols generated by the data source, each bit-plane comprising a plurality of bit-plane symbols; scanning the bit-plane symbols of each bit-plane to generate a binary string of bit-plane symbols; encoding the binary string of the bit-plane symbols using a statistical model, wherein the statistical model is based on statistical properties of a Laplacian probability distribution function which characterizes the data source, wherein the Laplacian probability distribution function is defined by f ( x ) = ⅇ - x 2 σ 2 2 σ 2 wherein σ is the standard deviation of the Laplacian probability distribution function. |
20030225664 | 10407906 | 0 | 1. An administration planning system for making an administration plan by a computer, the administration planning system comprising: an inputting function to input a planning term and plural investment items, and to input investment levels to each of the investment items for the planning term; a risk calculating function to calculate risk levels for each of the investment items on the basis of a correlation between the investment level to each of the investment items and a risk percentage corresponds to its investment level; an optimizing function to make the administration plan including an optimized investment levels and an optimized risk levels by optimizing and adjusting the distribution of the investment levels to the investment items and the risk levels calculated by said risk calculating function for the planning term, and an outputting function to output the optimized investment level and the optimized risk level for each of the investment items on the basis of the administration plan made by the optimizing function. |
9208776 | 12573448 | 1 | 1. A method comprising: retrieving information describing media available in a media content retrieval system, to yield retrieved information; constructing, via a processor device, a graph that models how the media are interconnected based on the retrieved information, the graph interconnecting disparate categories of the media; weighting the graph based on the retrieved information, to yield a weighted graph; normalizing the weighted graph, to yield a normalized weighted graph; ranking the retrieved information describing the media based on the normalized weighted graph, to yield ranked information; and generating, via the processor device, a speech recognition model based on the ranked information. |
20030046279 | 10227802 | 0 | 1. In robust design problems using a search engine, a method of selecting one of a first and second semiconductor technology design candidates, the method comprising: randomly sampling said first semiconductor technology design candidate to obtain a first random sample; determining at least one objective function value from said first random sample; randomly sampling said second semiconductor technology design candidate to obtain a second random sample; determining at least one objective function value from said second random sample; determining, based on said first and second objective function values comparison-oriented statistical estimates relating the first and second semiconductor technology design candidates; selecting, if possible, based on at least one decision rule and said comparison-oriented statistical estimates, one of said semiconductor technology design candidates; and repeating the previous steps until one of said semiconductor technology design candidates has been selected. |
20080120074 | 11601213 | 0 | 1. A method for mitigating the effects of gas turbine engine gas path measurement variability comprising: comparing gas path measurement data to a reference model wherein differences between the gas path measurement data and said reference model are output as percent deltas; performing a gas path analysis on said percent deltas and a priori estimated performance percent deltas, wherein said gas path analysis outputs estimated performance percent deltas of the gas path measurement data; delaying said estimated performance percent deltas; filtering said delayed, estimated performance percent deltas, wherein said filtered estimated performance percent deltas are a priori estimated performance percent deltas; reducing a variation in an estimated performance percent deltas using said filtering step, said variation comprises noise; and outputting estimated performance percent deltas of the gas path measurement data. |
20060129959 | 11298120 | 0 | 1. A method for refining an abstract model, the method comprising: receiving an abstract model which is a subset of a logic design which can be represented using a set of variables and a set of Boolean functions; receiving a safety property for the logic design which is desired to be proven; receiving a set of counter-examples, wherein a counter-example is a sequence of states that violates the safety property, wherein a state is an assignment of values to the variables, wherein the variable values are determined using the set of Boolean functions and the variable values in the previous state; determining a set of cooperative variables using the set of counter-examples, wherein a cooperative variable is a variable that can help invalidate a counter-example; and refining the abstract model using the set of cooperative variables. |
4122523 | 05751498 | 1 | 1. Conflict-resolving train control apparatus for a railroad, which railroad includes a plurality of potentially conflicting routes and railroad traffic controlling equipment, said equipment operating in response to signals communicated thereto by a central station, said equipment further communicating information respecting the condition of said equipment and the location of railroad traffic thereon to said central station, said conflict-resolving apparatus comprising: storage means for storing information as to the railroad configuration, status of traffic controlling equipment, location of traffic, nominal schedule of said traffic, and for further storing of information respecting potential conflicts which require resolution in light of actual railroad traffic on said railroad, processor means operating in response to said storage means for initiating a heuristic search for resolution of said conflicts, said processor assigning to each potential conflict resolution, a cost related to the delay required by said resolution, said processor searching for a successful resolution through a path of potential conflict resolution on the basis of said cost, and means responsive to discovery of a successful resolution for storing a desired order of conflicting railroad traffic to eliminate said conflicts, said equipment for controlling said railroad traffic being responsive to said order of trains to control said traffic to eliminate said conflicts. |
7500244 | 10881784 | 1 | 1. A computer-implemented method comprising: calculating an exit-enter time (EET) to exit and enter a context and a save-restore time (SRT) to save and restore a machine state; executing a selective algorithm that saves and restores the machine state before passing control to a virtual machine (VM) only if unprivileged instructions allowing use of the machine state are available to the VM and accumulating statistics for an expected value for EET overhead and an expected value for SRT overhead while executing the selective algorithm; computing a cost of the selective algorithm using the expected value for EET overhead and the expected value for SRT overhead; comparing the cost of the selective algorithm to two times SRT which is the cost of an unconditional algorithm that always saves and restores the machine state on context changes; and selecting one of the selective algorithm or the unconditional algorithm having the least cost as a virtualization algorithm to virtualize context changes. |
20050222888 | 11092855 | 0 | 1. A method of creating a production plan of a demand variation input type, comprising the steps of: calculating amounts of request for each different item of products, markets, and dates that can be assumed and probabilities of occurrence at which the amounts of request agree with actual amounts of request, based on forecasted values of the amounts of request for each different item of the products, markets, and dates, on past accuracy of demand forecasts, and on achievements of orders at the time when the plan is created; creating scenario information in which combinations of the calculated amounts of request and probabilities of occurrence are defined; finding values of management indexes from amounts of stockout and amounts of stock calculated in the individual scenarios, based on the scenario information, on strongpoint information, and on target values of the management indexes, the strongpoint information including characteristics of manufacturing plants and parts vendors and supply routes for materials and manufactured products, the management indexes being capable of quantitatively evaluating the production plan such as a stockout rate and a stock turnover rate; and calculating an amount of production that maximizes achievement ratios of the values of the management indexes to their targets within ranges of amounts of supplied materials and range of production capacity. |
20130006584 | 13170494 | 0 | 1. A method for simulating an electronic packaging structure, wherein the electronic packaging structure includes at least two conductive planes and at least one interconnect transitional component, the interconnect transitional component including at least one of a via, a strip line, and a microstrip line, the method comprising: providing an electromagnetic (EM) simulation framework for simulating the electronic packaging structure based on mode decomposition, the EM simulation framework including: a first solver for computing an EM field at a first set of locations of the electronic packaging structure based on a parallel-plate mode; a second solver for computing an EM field at a second set of locations of the electronic packaging structure based on a strip line mode; and a microstrip line solver; defining a parallel-plate port for the interconnect transitional component if the interconnect transitional component includes a via; defining a strip line port for the interconnect transitional component if the interconnect transitional component includes a strip line; defining a microstrip line port for the interconnect transitional component if the interconnect transitional component includes a microstrip line; computing a network function characterizing electrical properties of the interconnect transitional component based on the defined at least one of parallel-plate port, strip line port, and microstrip line port; associating the defined parallel plate port of the network function with the first solver at a first location corresponding to the via of the interconnect transitional component; associating the defined strip line port of the network function with the second solver at a second location corresponding to the strip line of the interconnect transitional component; and associating the defined microstrip line port of the network function with the microstrip line solver at a third location corresponding to the microstrip line of the interconnect transitional component. |
9512659 | 13610377 | 1 | 1. A wireless access system comprising: a transmitter and a receiver for exchange of secure data wherein the system uses an encryption and a decryption algorithm to exchange a secure data packet, said secure data packet comprising: an unencrypted data portion, an encrypted data portion, wherein the encrypted data portion comprises: a first data portion formed by a first data section of data encrypted by the encryption algorithm, wherein the first data section forms part of a hopping code, and a second data portion comprising data decrypted by the decryption algorithm, wherein the data decrypted by the decryption algorithm comprises a combination of a secure signature derived from the hopping code and encrypted data formed by a second data section of the data encrypted by the encryption algorithm, wherein the secure signature is formed by CRC data calculated by a CRC algorithm applied to the data encrypted by the encryption algorithm, wherein the secure signature comprises a predefined number of bits from the CRC data. |
7519529 | 10185150 | 1 | 1. An automated information retrieval system, comprising: A user interface for receiving a query; an analyzer to process said query based upon at least one attribute related to a user, the analyzer infers one or more informational goals of the user from the query, the one or more informational goals of the user inferred by parsing the query into parts of speech and structural features and employing data obtained by parsing the query to access one or more decision trees in an inference model, the one or more decision trees store conditional probability distribution over the one or more informational goals given the parse data and a physical location of the user; an answer generator that produces one or more responses to the query, the one or more responses are based, at least in part, on the one or more informational goals of the user inferred from the query, and the one or more responses vary in at least one of: length, precision, and detail based on at least one of the inferred informational goals and the attribute; and an inference clarifier that automatically clarifies an inference about at least one of the informational goals before producing the one or more responses by initiating a dialog with the user when the at least one of the inferred informational goals has a likelihood below a predefined probability threshold, wherein at least one of the user attribute or the inference model is refined upon an occurrence of the inference clarification. |
20040212509 | 10824709 | 0 | 1. A unitized electronic time-temperature indicator device for rapidly assessing the acceptability of a material's thermal history, said device containing computational means, and a temperature measurement means; wherein said device periodically samples the temperature and computes a function of temperature that is continually operative throughout the relevant temperature monitoring range of the device; and wherein said function of temperature approximates the impact that the relevant temperature, for that period's length of time, has on a detectable property of said material; and wherein said computing means generate a running sum of said function of temperature over time; and wherein the granularity of the function of temperature is small enough, and the frequency of time measurements is often enough, as to substantially approximate the impact of time and temperature on the detectable property of said material; and in which said running sum is compared to a reference value, and the result of said comparison is used to generate an output signal indicative of the fitness for use of said material. |
20080288482 | 11804400 | 0 | 1. A computer-implemented system for data deduplication, comprising: a constraint component for providing a class of aggregate constraints for data processing; and a deduplication component for receiving an input relation of data records and outputting a space of partitions of the records based on the class of aggregate constraints. |
8364529 | 12555224 | 1 | 1. A method of valuing services for search engine optimization (SEO) of a campaign term, the method comprising: retrieving search query volume information for the campaign term; determining a first probability that a search query for the campaign term will result in a referral from a search engine; determining a plurality of second probabilities, wherein the second probabilities are each associated with one or more particular positions in a search engine results page; generating an organic price for each of the one of more particular positions based on the search query volume information, the first probability, a second probability for a particular position, and a monetary value for the particular position; and generating a value of the SEO services for the campaign term based on the organic prices for the one of more particular positions; wherein determining the first probability, determining the plurality of second probabilities, generating the organic price, and generating the value of the SEO services are performed, at least in part, by one or more computing devices. |
8315813 | 13014841 | 1 | 1. A system for determining patient-specific time-varying cardiovascular information, the system comprising: at least one computer system configured to: receive time-varying patient-specific data regarding a geometry of at least a portion of an anatomical structure of the patient at different times; create a three-dimensional model representing at least the portion of the anatomical structure of the patient based on the time-varying patient-specific data, the three-dimensional model including time-varying information regarding at least one of blood vessel position, deformation, orientation, or size; and determine information regarding a change in a blood flow characteristic over time within the anatomical structure of the patient based on the three-dimensional model and a physics-based model relating to the anatomical structure of the patient. |
9558250 | 12830011 | 1 | 1. A system, comprising: a processor; and a memory communicatively coupled to the processor, the memory having stored therein computer-executable instructions, comprising: a plurality of scheduler engines having respective different look-ahead time periods and respective different time intervals for scheduling within the respective different look-ahead time periods to control generation of electrical power in a power grid, wherein the plurality of schedule engines are configured to generate respective schedules of dispatching of resources for the generation of electrical power in the power grid for the respective different look-ahead time periods and the respective different time intervals; a decision support tool, coupled to the plurality of scheduler engines, configured to: generate a comprehensive schedule from the respective schedules, wherein the comprehensive schedule comprises a plurality of time intervals for dispatching the resources for the generation of electrical power in the power grid; execute the comprehensive schedule to dispatch the resources for the generation of electrical power in the power grid; gather operational data from the execution of the comprehensive schedule; perform an after-the-fact analysis of the operational data from the execution of the comprehensive schedule against at least one reference use-case scenario against respective actual costs of the execution of the comprehensive schedule over the plurality of time intervals, comprising for each reference use-case scenario: simulate respective impact factors of a plurality of distinct impact factors in the reference use-case scenario for each time interval of the comprehensive schedule to identify impact factors that produce respective additional costs over a reference use-case scenario cost associated with the reference use-case scenario for the time interval that contributed to a difference between the reference use-case scenario cost and an actual cost of the execution of the comprehensive schedule during the time interval; and display, on a display device, a graph comprising: a first curve representing the reference use-case scenario costs over the plurality of time intervals of the comprehensive schedule, a second curve representing the actual costs over the plurality of time intervals of the comprehensive schedule, and respective curves for each of the identified impact factors representing the respective additional costs over the plurality of time intervals of the comprehensive schedule, wherein one curve associated with an identified impact factor indicates an additional cost over the reference use-case scenario cost and each of other curves associated with identified impact factors indicate another additional cost over another distinct impact factor; and update the comprehensive schedule based upon the after-the-fact analysis resulting in an updated comprehensive schedule; and a general control application configured to control dispatch of the resources for the generation of electrical power in the power grid according to the updated comprehensive schedule. |
20050234763 | 10826950 | 0 | 1. A machine-based method comprising receiving historical multi-dimensional data representing multiple source variables to be used as an input to a predictive model of a commercial system, applying transformations to the source variables that are selected to increase predictive power, and applying transformations to the data that are selected based on the strength of measurement represented by a variable. |
7961351 | 12061137 | 1 | 1. A method for developing a model profile for a printer from a selected set of test patches, including: representing a color gamut of the printer as a composite of gamut classes wherein each gamut class is comprised of a subset of printer color separations and running by a processing module the set of test patches within a one of the gamut classes wherein the set includes test patches relatively orthogonally disposed within a predetermined matrix to identify printer operation, wherein the predetermined matrix includes a cubic graphic representation and the set of test patches correspond to factorial points and a central point of a cube. |
9837073 | 14346331 | 1 | 1. A computer-implemented method of speech recognition by adding a new sentence to a word-level finite state transducer (FST) having a plurality of states and connecting arcs, the method comprising: determining, using a computer processor, an existing prefix subset of states and arcs in the FST matching a prefix portion of the new sentence; appending a new sequence of states and arcs to the FST corresponding to a remainder of the new sentence after the prefix portion; determining an existing suffix subset of states and arcs in the FST corresponding to a suffix portion of the new sentence; connecting the portion of the new sequence before the suffix portion to the suffix subset to create a modified FST including the new sentence and not satisfying global optimization criteria; and storing the modified FST in memory and dynamically expanding the modified FST using a computer configured as a compiler and using the modified FST for speech recognition, text-to-speech, and/or text processing. |
9767148 | 13721691 | 1 | 1. A method, implemented at least partly by a device, the method comprising: configuring the database system to operate at a limited capacity below its full capacity for execution of database queries of a database, wherein the database system includes one or more processors operable to process data stored in the database in a database environment in order to process the database queries; learning about optimization of execution of one or more selected database queries that do not meet at least one performance criteria associated with a target performance for processing the selected database queries with the limited capacity in the database environment, by using the excess capacity of the database system configured to operate with the limited capacity for the execution of database queries of the database; allowing at least one portion of the excess capacity available to the database system to be used to perform one or more learning activities associated with learning about optimization of execution of one or more selected database queries in the database environment that do not meet at least one performance criteria; and not allowing the at least one portion of the excess capacity available to the database system to be used to perform other activities not associated with the learning about optimization of execution of the database queries in the database environment. |
7720990 | 11621665 | 1 | 1. A method for handling service requests in a data processing system, said method comprising: in response to a service request, determining a priority of said service request by mapping a context of said service request to a service level agreement (SLA); in response to a lock being acquired by another service request and concurrent processing of said service request and said another service request is not allowed, determining, by use of one or more computer processors, whether or not an existing transaction associated with said another service request can be delayed based on average processing time of said service request and said another service request; in a determination that said another service request cannot be delayed, generating an alarm and continue processing said existing transaction; and in a determination that said another service request can be delayed, preempting said existing transaction, generating an alarm and processing a transaction associated with said service request. |
20020159630 | 09823139 | 0 | 1. A method for use in detecting a pornographic image comprising: analyzing a questionable image, said analyzing including (a) preparing a final color prototype database having a plurality of final color prototype values, said final color prototype database prepared from selected skin image samples from a plurality of images; (b) filtering a questionable image, said filtering including (i) comparing a color of a questionable pixel from a questionable image with said final color prototype values; (ii) performing a texture analysis on an area surrounding said questionable pixel if said color of said questionable pixel matches a color of a final color prototype, wherein said texture analysis determines a variance in color between said questionable pixel and a color of pixels in said area; and (iii) classifying said pixel as a potential skin pixel if said texture analysis indicates that said area has a skin texture. |
20120047128 | 12858168 | 0 | 1. A method of semantically classifying a data set of open class nouns comprising: loading, by a processing device, a data set comprising one or more open class nouns from a computer readable medium operably connected to the processing device; extracting, by the processing device, the one or more open class nouns from the data set; for each open class noun, querying, by the processing device, one or more application programming interfaces (APIs) to produce one or more results; deriving, by the processing device, a confidence score for the data set based upon the one or more results; and determining, by the processing device, a classification for the data set based upon the derived confidence score. |
7912836 | 12020983 | 1 | 1. A computer-implemented method for organizing a collection of files from an Internet search, the method comprising: by at least one computer: assigning a score to each file based on at least the following factors: recency, editorial popularity, clickthru popularity, favorites metadata, and favorites collaborative filtering; organizing the files based on the assigned scores; and displaying the files as organized; wherein the clickthru popularity for each file is based on an aggregation of at least: a first clicks-per-minute value for each file; a second clicks-per-hour value for each file; and a third clicks-per-day value for each file. |
9722957 | 14702850 | 1 | 1. A method for assisting an agent to respond to a customer inquiry comprising: receiving a customer inquiry; generating a first latent topic prediction for the customer inquiry based on a word-based representation of the customer inquiry; generating a second latent topic prediction for an entire agent's reply to the customer inquiry as a function of the latent topic prediction generated for the customer inquiry; generating a third latent topic prediction for a next sentence of the agent's reply as a function of a topic prediction for the next sentence generated with a prediction model trained on annotated sentences of agent replies; and outputting information to assist the agent, based on the second and third topic predictions, wherein at least one of the generating of the first, second and third latent topic predictions and the outputting of information is performed with a processor. |
7506302 | 10277455 | 1 | 1. A method of providing closed-loop analysis of a business process, the method performed by a computer-based process management subsystem of an enterprise system, the method comprising: in response to user input, selectively communicating with each of a plurality of commercial off-the-shelf software (COTS) products including at least one COTS flowcharting tool, at least one COTS simulator, at least one COTS project management tool, and at least one COTS workflow management tool, the selective communicating performable via application programming interfaces (APIs) implemented between the process management subsystem and each COTS product; making a plurality of modeling stencils available on a graphical display via one of the at least one COTS flowcharting tool, at least some of the stencils representing modeling diagram objects selectable by a user of the display to compose and display one or more extended modeling diagrams, including one or more activity diagrams, representing the business process, the modeling diagrams extended so as to be independent of proprietary tools and protocols of the plurality of COTS products; in response to user input via one or more simulation stencils made available on the display via one of the at least one COTS flowcharting tool, using one or more simulation objects represented by simulation stencils selected by a user of the display to extend a user-selected one of the one or more activity diagrams to obtain a simulation model that is independent of proprietary tools and protocols of the COTS products, and delivering the simulation model via one of the APIs to one of the at least one COTS simulator for performance of simulation; in response to user input via one of the at least one COTS flowcharting tool, generating activity duration data based on simulation output received from the at least one COTS simulator, and sending the duration data to one of the at least one COTS project management tool; and in response to user input, providing abstractions of workflow and project management for use in one or more user-selected implementations of the selected activity diagram via the at least one COTS workflow management tool and via the at least one COTS project management tool. |
7646868 | 11512798 | 1 | 1. A method of encrypting a clear text message into an obscured, encrypted message using a key phrase comprising: partitioning the key phrase and the clear text message into separate words; determining an index value for each word of the key phrase, concatenating the index values together to form a key string, and partitioning the key string into sections of a first predetermined length; determining an index value for each word of the clear text message, concatenating the index values together to form a message string, and partitioning the message string into sections of a second predetermined length; for each key section and message section pair, concatenating the key section to the message section to form a cipher text section, and adding the cipher text section to a cipher text string; and for each section of the cipher text string, locating a row of a word matrix indexed by the cipher text section, randomly selecting a template from a template file, the template including a plurality of tags, obtaining one or more words from the word matrix row according to columns selected by the tags, and replacing the cipher text section with the obtained words according to the randomly selected template to form the obscured, encrypted message. |
10146839 | 14573561 | 1 | 1. A system, comprising a processor configured to: execute a document-oriented search based on a query in an index of documents to generate a set of document results, each document in the set of document results is associated with at least one potential expert; analyze the document results to produce a list of potential experts; calculate an expertise score for each potential expert based on a content score and a metadata score for each potential expert; calculate a confidence score for each potential expert based on a diversity-constrained content score and a diversity-constrained metadata score for each potential expert, wherein the diversity-constrained content score is calculated using an evidence diversity score, comprising a predetermined threshold number of different activities associated with the potential expert, and the content score for the potential expert, the diversity-constrained metadata score is calculated using the evidence diversity score and the metadata score for the potential expert, the content score is calculated based on a number of different content document types and associations associated with the potential expert, the content document types and associations are gathered by parsing websites and stored in a data repository, the metadata score is calculated based on profile-related information associated with the potential expert, and the confidence score is further calculated based on a social score, wherein the processor is configured to generate a graph of connections between the predetermined number of selected experts, the social score for each selected expert is calculated using the graph and based on a number of connections to other selected experts; and send a list of experts with associated confidence scores that are above a confidence score threshold to a client device. |
20070174292 | 11340203 | 0 | 1. A method of evaluating queries in distributed databases with materialized query tables (MQTs), said method comprising: deriving MQTs; replicating the derived MQTs from a local server to at least one remote server; and distributing data and replicated derived MQTs to a plurality of other remote servers, wherein said distributing increases overall query execution efficiency. |
20040142738 | 10748770 | 0 | 1. A gaming machine comprising: at least one visual display; and a game of chance depicted on the at least one visual display and controlled by a processor in response to a wager, the game of chance including a primary game and a sorting feature, the sorting feature being triggered by certain start-feature outcomes of the primary game, the sorting feature including a collection of scrambled objects that are at least partially sorted during operation of the sorting feature, the sorting feature generating an award in response to the at least partially sorted objects matching predetermined criteria. |
7844467 | 12020049 | 1 | 1. A method of providing movements by an animation during a conversation with a user, the method comprising: determining a culture associated with the user; receiving speech from the user; selecting from a database a set of listening movements associated with the determined culture; and based on the set of listening movements, controlling via a processor listening movements of the animation when the animation listens to the user such that the listening movements are consistent with the determined culture and according to an analysis of the received speech. |
4866634 | 07084252 | 1 | 1. An expert system shell comprising: (a) a computer having a display device, an entry device, and a memory for string a knowledge base; said knowledge base comprising: (1) variables having values represented by tables of probabitlity distributions keyed by zero, one or more formal parameters; (2) functions defining relationships between the values of each dependent variable and the values of its corresponding argument variables; (3) means for computing the probability distribution of the values of a dependent variable from the probability distribution of the values of the corresponding argument variables; and (b) means for propagating the consequences of a change in the value of a variable to maintain the functional relationships among a selected subset of the dependent variables. |
20040117048 | 10662032 | 0 | 1. A master production scheduling management system for generating master production schedules (MPSs), comprising: at least one client computer; a database server; an MPS management server, comprising: a data retrieving module for obtaining data from one or more external information systems; an MPS generating module for generating an original MPS, and for amending the original MPS to be an optimized MPS by simulating rough-cut capacity planning (RCCP) and material requirements planning (MRP); a simulating module for simulating RCCP and MRP based on the original MPS; and a weekly scheduling module for generating weekly production schedules based on the optimized MPS; and a network interconnecting the at least one client computer, the database server and the MPS management server. |
7509599 | 11150685 | 1 | 1. A method of formal analysis, comprising: classifying a first primary output of a first data-flow graph to determine a first data-flow graph class; classifying a second primary output of a second data-flow graph to determine a second data-flow graph class; generating a combining structure by combining the first data-flow graph and the second data-flow graph, wherein the combining structure is a data-flow graph; selecting a suitable type for the combining structure, for coupling the first and second primary outputs, based upon the first data-flow graph class and the second data-flow graph class, wherein selecting the suitable type of combining structure involves selecting a pipelined combining structure when the first primary output is classified as pipelined and the second primary output is classified as combinational; and applying a formal analysis process to the first data-flow graph, the second data-flow graph and the combining structure, wherein performing an equivalency test on a high-level model and register transfer level (RTL) model, and wherein the high-level model is converted into the first data-flow graph, and wherein the RTL model is converted into the second data-flow graph. |
8069438 | 11811098 | 1 | 1. A method of facilitating declaration of a class or function using a programming language that is not a class-based object-oriented programming (OOP) language, comprising: receiving at a processor a call to a function that is configured to cause a definition of a new function, defined using the programming language, wherein a syntax associated with a declaration of the function uses a name that is a near variant of the reserved word “class”; and defining programmatically, in response to the call, the new function that: inherits from, if applicable, the methods and variables of a parent function designated, using a syntax that is a near variant of a corresponding class-based OOP syntax, to be a super class of the new function; and includes one or more methods, variables, or both designated, using a syntax that is a near variant of a corresponding class-based OOP syntax, to be implemented by the new function; wherein the function that users a name that is a near variant of the reserved word “class” returns a stub object; wherein the stub object includes a method configured to cause the methods and variables of the parent function to be inherited by the new function. |
7747413 | 11609392 | 1 | 1. A system for processing a stream of data events based on shifts, comprising: a real time statistical processing system for updating a statistical summary each time a new data event is obtained, wherein the statistical summary is calculated using an exponential algorithm based on the new data event and a previously calculated statistical summary, wherein the new data event is obtained from at least one stream of data events comprising a plurality of data events; an analysis system that analyzes the statistical summary after it is updated; and a shift system that maintains separate statistical summaries for each of a plurality of different shifts associated with the at least one stream of data events, wherein the shifts are based on reoccurring data trends; wherein the new data events from the at least one stream of data events are received at irregular intervals. |
20130104134 | 13596135 | 0 | 1. A method of generating an analytic solution, the method comprising the steps of: associating, with each of a plurality of web services and web-based applets, a respective schema, the respective schemas describing inputs and outputs of the web services and the web-based applets; enumerating a set of input data sources for selection; receiving a desired output type from a user; and based on the respective schemas, generating combinations of the web services and the web-based applets that achieve the desired output type from each of said input data sources, wherein each combination is derived from available web services and available web-based applets, and wherein the generated combinations indicate suggested workflows that provide analytic solutions, wherein said associating, enumerating, receiving and generating steps are performed by at least one computer. |
8949225 | 13477362 | 1 | 1. A computer implemented method for accessing an RDF (resource description framework) repository through a SPARQL (SPARQL Protocol and RDF Query Language) gateway, the method comprising: receiving, by the SPARQL gateway running on a computer having a processor, a database query, the database query received in a first query language format; converting the database query into a SPARQL query format; submitting the converted query to a SPARQL endpoint; receiving, by the SPARQL gateway, SPARQL query results from the SPARQL endpoint; and transforming the SPARQL query results into a format corresponding to the first query language format, wherein the format is not an XML format. |
4186349 | 05864768 | 1 | 1. A receiver apparatus for extracting a data signal from a received signal which has included therein an interfering noise signal, comprising in combination: (a) means for recovering a carrier signal from the received signal, the recovered carrier signal corresponding to the carrier signal modulated to carry the data signal, (b) means for mixing the recovered carrier signal with the received signal to produce a baseband signal which includes both the data signal and the noise signal, (c) means for generating a recovered modulated carrier signal by mixing the data signal with the recovered carrier signal, (d) means for deriving the noise signal by mixing the recovered modulated carrier signal with the received signal, (e) means for generating a noise correlation signal by operating on the derived noise signal, the noise correlation signal representing an approximation of the correlation of the noise signal over a sample period having a predetermined duration, (f) means for generating a squared mean signal by operating on the baseband signal, the squared mean signal representing an approximation of the square of the mean of the noise signal over the sample period, (g) means for generating a covariance noise signal by producing the difference of the noise correlation signal and the squared mean signal, (h) means for generating a noise statistic signal derived from a combination of the covariance noise signal, the data signal, and a noise figure signal representing the receiver apparatus noise figure, the noise statistic signal adapted to reduce the interfering effect of the noise signal when the noise statistic signal is mixed with the baseband signal, and (i) means for mixing the baseband signal with the noise statistic signal to produce the data signal having the noise signal essentially removed therefrom. |
7480184 | 11620704 | 1 | 1. A method for operating a memory cell collection, the memory cell collection including a plurality of memory cells, each memory cell in the memory cell collection storing at least two possible binary values delimited by preset value ranges of a characteristic parameter, wherein the value ranges of the characteristic parameter shift over time, the method comprising: sensing a shifted value of the characteristic parameter for a target memory cell; sensing shifted values of the characteristic parameter for each memory cell in the memory cell collection; generating a probability distribution function of the characteristic parameter for each of the possible binary values from the shifted values of the characteristic parameter for each memory cell in the memory cell collection; for each of the possible binary values, determining a probability that the shifted value of the characteristic parameter for the target memory cell is within its probability distribution function; and converting the shifted value of the characteristic parameter for the target memory cell into a binary value for which the probability is highest. |
8997084 | 13090270 | 1 | 1. A computer executed method of determining compatible versions of dependent entities of a root entity having a specified version in a computer system, the method comprising: building a directed graph comprising the dependent entities; dividing the directed graph into multiple levels; determining which level of the multiple levels each dependent entity belongs to; dividing each level into one or more isolated subsets; and determining compatible versions for all entities in upper levels of the directed graph before determining compatible versions for any entity in lower levels of the directed graph; wherein building the directed graph comprises: representing the entities by nodes and dependency relationships between the entities by edges; and putting a directed edge from a first node to a second node which is dependent on the first node and referring to the first node as a parent node and the second node as a child node; wherein the directed graph is divided into levels in such a way that no node of a given level is dependent on a node of a lower level; and wherein dividing the directed graph into multiple levels comprises: putting a root node representing the root entity in a first level of the directed graph and all of said root node's child nodes into a new level and then for each level of the directed graph: a. including in the current level all nodes which are interdependent directly or indirectly with the nodes already included in the current level; b. pushing into a next level of the directed graph all those nodes from the current level that are dependent on nodes which have not yet been assigned to a level; and c. putting all the child nodes of parent nodes in the current level into the next level of the directed graph if said child nodes have not already assigned to a level; and repeating a) to c) until all nodes have been assigned to a level of the directed graph. |
10136049 | 15401864 | 1 | 1. A computer-implemented contextual zoom control method, the method comprising: detecting faces in an area of interest when a user is performing an image capturing action; extracting a facial image for each of a set of key individuals attending an event where the user is performing the image capturing action; creating a ranked list of the set of key individuals according to a predetermined parameter of each key individual; pairing each detected face with a matching extracted facial image to label an identity of each key individual in the area of interest; and in a single individual capturing mode, performing a camera function to assist the user in performing the image capturing action on the identity that is paired with a highest ranked individual on the ranked list within the area of interest, wherein the camera function includes at least one of a zoom function and a focus function, wherein, in response to performing the camera function in the single individual capturing mode, requesting that the user submit a feedback on an accuracy of the imaged individual, and wherein, if the feedback indicates an inaccurate imaged individual, the method further comprise displaying a graphical user interface on the area of interest including each identity of the set of key individuals within the area of interest such that the user can select the identity of the set of key individuals on which to perform the camera function. |
5404574 | 08183384 | 1 | 1. In a wireless communications system having service areas partitioned into a plurality of substantially contiguous cells, a method of assigning radio channels to the cells: comprising the steps of: determining the available cells and frequencies: determining interference and system constraints for the cells: determining existing traffic patterns for the cells; inputting the cells, frequencies, interference and system constraints, including blocking requirements, and traffic into a computing device; programming the computing device to optimize the assignment of radio channel sets to the cells wherein the improvement comprises; decomposing a calculation for optimizing the radio channel set assignment into a Master Program and a Subprogram, initially solving the Master Program in order to determine values for a capacity factor, channel set sizes, a first simplex multiplier vector corresponding to the channel assignment constraints for each cell, and a second simplex multiplier vector corresponding to the radio channels availability constraint; wherein the capacity factor represents a bottle neck capacity ratio of a number of radio frequencies assigned to a cell over the number of radio frequencies needed to meet blocking requirements; solving the Subprogram to generate additional channel sets using output values from the Master Program which include channel set sizes and the simplex multiplier vector; by heuristically providing new values of channel set sizes and the first simplex multiplier vector to replace for calculation purposes these values for values initially determined by the initially solving of the master program, and resolving the Subprogram to generate further channel sets; resolving the Master Program using channel sets determined by solving and resolving the subprogram to maximize the capacity factor and for selecting channel sets and for determining new sizes of the channel set; checking the resulting assignments for optimality by evaluating the second simplex multiplier; terminating when optimality is achieved; transmitting the assignments to the respective base stations; and tuning the radios of the base stations to the appropriate frequencies. |
9361879 | 12391395 | 1 | 1. A computer implemented method for processing media comprising: using a computer to perform the steps of: accepting the media; accepting language data; accepting a query; processing the query using the language data to identify one or more language patterns each having a length larger than a length of a language pattern of the query, each language pattern including a first portion that is acoustically similar to the language pattern of the query and a second portion that is not acoustically similar to the language pattern of the query; locating a putative instance of the query in the media, the putative instance being associated with a first time interval in the media, the locating including determining a match score for the located putative instance of the query to the media in the first time interval; selecting a second time interval of the media according to the first time interval, the second time interval being larger than and including the first time interval; determining a degree of acoustic similarity between the media in the second time interval and one or more of the identified language patterns; determining a score for the putative instance according to the match score for the located putative instance of the query and to at least one score associated with the determined degree of acoustic similarity between the media in the second time interval and one or more of the identified language patterns; and providing data characterizing the putative instance of the query according to the determined degree of acoustic similarity, including identifying the putative instance of the query as a potential falsely identified instance of the query based on the determined score for the putative instance. |
20180075861 | 15456172 | 0 | 1. A processor implemented method ( 300 ) comprising: receiving a feature set (F) of a plurality of features associated with non-stationary audio signals ( 302 ); receiving a training set comprising a plurality of non-stationary clean audio signals (C) and non-stationary noisy audio signals (N) ( 304 ); generating a unique and distinctive feature set (UF) based on the training set and the feature set (F) ( 306 ); dynamically generating an unbiased threshold of unique feature attribute value (UFAV) and polarity (P) associated with each of the unique and distinctive features of the unique and distinctive feature set (UF) ( 308 ); identifying a test signal as non-stationary noisy test signal or non-stationary clean test signal by statistical isolation based on (i) a unique feature attribute value (UFAV) and polarity (P) associated with the test signal for each of the unique and distinctive features and (ii) the dynamically generated unbiased threshold of the unique feature attribute value (UFAV) and the polarity (P) associated with each of the unique and distinctive features of the unique and distinctive feature set (UF) ( 310 ); and classifying the test signal further as one of lightly noisy test signal and highly noisy test signal ( 312 ) based on one or more pre-defined conditions when the test signal is identified as the non-stationary noisy test signal. |
20170078310 | 14938802 | 0 | 1. A method of identifying phishing websites, the method comprising, at a computer system: receiving website information from a first server computer corresponding to a web site; rendering a document object model (DOM) object of the website using the website information; extracting a plurality of features from the DOM object; identifying a subset of features in the plurality of features; applying a phishing model to the subset of features to determine an indication of whether the website is performing phishing, wherein the phishing model includes a hierarchical decision logic defined by a plurality of nodes, each of the plurality of nodes having a different one of a plurality of phishing rules, wherein each of the plurality of phishing rules is a conditional statement for assessing one or more of the subset of features, and wherein applying the phishing model to the subset of features includes: identifying a subset of nodes in the plurality of nodes, the subset of nodes defining a decision path in the hierarchical decision logic, wherein the subset of nodes are identified by traversing the hierarchical decision logic based on an outcome of assessing a phishing rule of each of the subset of nodes, wherein the subset of nodes includes an initial node and a final node, and wherein after the initial node is identified, each subsequent node of the subset of nodes is identified based on the outcome of assessing a phishing rule of a node that is a parent of the subsequent node in the decision path; and determining a final phishing rule of the final node of the subset of nodes of the decision path, the final phishing rule being one of the plurality of phishing rules, wherein the indication of whether the website is performing phishing is determined based on an outcome of assessing the final phishing rule; determining a classification about whether the website is performing phishing based on the indication determined by the applying of the phishing model to the subset of features; and reporting a phishing occurrence based on determining that the classification specifies the website is performing phishing. |
9373057 | 14528815 | 1 | 1. A method for training a neural network that receives an input image and outputs a predetermined number of candidate bounding boxes that each cover a respective portion of the input image at a respective position in the input image and a respective confidence score for each candidate bounding box that represents a likelihood that the candidate bounding box contains an image of an object, the method comprising: receiving a training image and object location data for the training image, wherein the object location data identifies one or more object locations in the training image; providing the training image to the neural network and obtaining bounding box data for the training image from the neural network, wherein the bounding box data comprises data defining a plurality of candidate bounding boxes in the training image and a respective confidence score for each candidate bounding box in the training image; determining an optimal set of assignments using the object location data for the training image and the bounding box data for the training image, wherein the optimal set of assignments assigns a respective candidate bounding box to each of the object locations; and training the neural network on the training image using the optimal set of assignments. |
20100082303 | 12562866 | 0 | 1. A method of automatically generating a simulation model for evaluating performance characteristics of an automotive propulsion system that includes a plurality of subsystems, the method comprising: capturing automotive propulsion information from a first simulation environment indicative of an existing simulation model characteristic of an associated automotive propulsion system, the system including a plurality of automotive subsystems and at least one level; converting the automotive propulsion information from a first format to a second format; storing the automotive propulsion information in the second format in at least one file; selecting a plurality of subsystems for inclusion into a second simulation model, the plurality of subsystems being characterized in the at one least file; converting the automotive propulsion information from the second format to at least a portion of a third format; building the second simulation model in a second simulation environment from the information; and analyzing performance characteristics of the constructed simulation model, thereby enabling determination of a desired form of the automotive propulsion system. |
9959296 | 14275333 | 1 | 1. A method implemented by data processing apparatus, the method comprising: obtaining, during a current editing session, textual input provided to a document editing application by a user associated with a user device, the textual input being provided to the document editing application for inclusion in a document; receiving textual suggestions from a suggestion model based on the obtained textual input, each textual suggestion comprising one or more words to be suggested for inclusion in the document, each textual suggestion having a confidence score; providing, during the current editing session and not to the user, respective textual suggestions having confidence scores above a current threshold value; identifying, during the current editing session, one or more performance measures associated with the current editing session for the document, each performance measure being at least one of a typing speed of the user or a latency of the user device based on session data obtained during a document editing session, the session data being for the obtained textual input and prior texts included in the document prior to the obtained textual input; providing the one or more performance measures as input to the suggestion model that was trained using historical performance measures identified in performance logs for a plurality of historical document editing sessions of a plurality of users prior to the current editing session; generating a modified threshold value based on the inputted one or more performance measures, the modified threshold value different from the current threshold value; and throttling the textual suggestions during the current editing session by providing, during the current editing session and to the user, at least one of the respective textual suggestions having a confidence score above the modified threshold value. |
8999863 | 12133375 | 1 | 1. A method of fabricating an IC comprising: providing a substrate having first and second active regions defined thereon, the first active region comprises a first transistor of a first type and the second active region comprises a second transistor of a second type; forming a continuous first stress liner on the substrate covering the first and second transistors, wherein the continuous first stress liner comprises a first stress; forming a mask to protect a second portion of the continuous first stress liner in the second active region while leaving a first portion of the continuous first stress liner in the first active region exposed; performing a first stress treatment, the first stress treatment is performed selectively on the first portion of the continuous first stress liner, the first treatment transforms the first stress in the first portion to a second stress while the mask protects the second portion of the continuous first stress liner in the second active region from the first stress treatment; removing the mask over the second portion of the continuous first stress liner; and after removing the mask, performing a second stress treatment, the second stress treatment is performed non-selectively on both the first and second portions of the continuous first stress liner, the second treatment transforms the second stress in the first portion of the continuous first stress liner to a third stress. |
20120114211 | 13291919 | 0 | 1. A method of generating a predictor of osteoarthritis (OA) progression of a joint, the method comprising: generating fractal dimension curves for horizontal and vertical trabecular components associated with a region of interest of an image of the joint; using a statistical model to model shapes of the fractal dimension curves; and calculating a predictor of OA progression based on shape parameters of the statistical model. |
20080114574 | 11641703 | 0 | 1. A complex event evaluation system, comprising: an event aggregation module receiving a plurality of first events, each comprising at least one event value, and generating an event pool comprising at least one second event according to the first events; a weight calculation model comprising a weight calculation function corresponding to the at least one second event, where the weight calculation function comprises weightings corresponding to respective first events; and a weight score calculation module calculating a weight score of the at least one second event according to the event values corresponding to respective first events and the weight calculation function corresponding to the at least one second event, evaluating a critical level of the at least one second event according to the weight score of the at least one second event retrieving the weight scores of the historic events of the at least one second events from the event history database, normalizing the weight score of the at least one second event accordingly to obtain a normalized weight score of the at least one second event, and comparing the normalized weight score with at least one predefined threshold to obtain the critical level of the at least one second event. |
20070244843 | 11387253 | 0 | 1. A method for constructing a classifier that distinguishes between different classes of data points, comprising: receiving a data set, which includes class-one data points and class-two data points; for each class-one data point in the data set, using a separating primitive to produce a set of point-to-point separating boundaries, wherein each point-to-point separating boundary separates the class-one data point from a different class-two data point; and combining separating boundaries in the set of separating boundaries to produce a point-to-class separating boundary that separates the class-one data point from all of the class-two data points in the data set; and combining the point-to-class separating boundaries for each of the class-one data points to produce a class-to-class separating boundary for the classifier that separates all of the class-one data points from all of the class-two data points in the data set. |
20120021746 | 13252902 | 0 | 1. A method for detecting a radio network problem, comprising: when a radio link failure (RLF) problem occurs on a user equipment (UE) in a previous cell, receiving, by a first base station controlling a new cell that a radio resource control (RRC) connection established with the UE, problem information about the RLF problem sent by the UE, after the RRC connection is established, and sending, by the first base station, the problem information to a second base station controlling the previous cell. |
9189736 | 13849446 | 1 | 1. A method for managing data from Natural User Interface (NUI) devices, the method comprising: receiving at least an input from at least one of input NUI sources, wherein said input sources include gesture devices, speech engines and behavioral sources; converting said input to a specified form by an NUI adapter; storing at least an NUI converted input from each adaptor separately an NUI events exchanger; receiving said converted input by an NUI events manager; storing at least a high level input event into a repository by said NUI events manager; and creating a combined output from the converted input and at least one behavior pattern rule by a behaviour analysis engine, said behavior analysis engine comprising said behavior pattern rules and a training module, said training module configured to collect at least one new NUI event and create new behavior pattern rules, further wherein said training module is adapted to train said NUI device to understand and recognize new NUI event interactions. |
8068900 | 11393614 | 1 | 1. A method of determining alternans data of an ECG signal, the method comprising: executing a software program stored in a memory with a processor, such that the executing step effectuates the following steps: determining at least one value representing at least one morphology feature of each beat of the ECG signal, wherein the ECG signal is collected with a data acquisition device; performing a statistical analysis using data points generated based on a total quantity of values and total quantity of beats the statistical analysis generating a confidence level; determining whether the confidence level is significant; processing the data points using a cluster analysis, the cluster analysis generating a first cluster of points and a second cluster of points; separating the data points into a first group of points and a second group of points comparing the first cluster of points with the first group of points; comparing the second cluster of points with the second group of points; and determining a value representative of a first set of matched points between the first cluster of points and the first group of points and a second set of matched points between the second cluster of points and the second group of points; and wherein the confidence level is based at least in part on the value. |
7720883 | 11769050 | 1 | 1. A computer-implemented system, comprising: a key profile component configured to compute a key strength value of a data table based on a key of the data table, wherein the key of the data table comprises one or more columns of the data table, and wherein the key strength value is defined by a number of distinct values in the one or more columns as a fraction of a number of rows in the data table; and a pattern profile component configured to identify regular expression patterns in the data table as part of a data profile. |
20120123993 | 12947871 | 0 | 1. A method performed by one or more computing systems comprising: determining a population of users performing online actions; selecting from the population of users, a group of users that have performed particular time-based user actions that relate to a user behavior; predicting a subsequent user action based at least in part upon the user behavior. |
10049583 | 15012479 | 1 | 1. A method, comprising: ingesting, as input data, weather information, mission-specific flight parameters for performance of a particular mission by an unmanned aircraft, and one or more operational rules for operation of a specific unmanned aircraft in the performance of the particular mission, the weather information including at least one of current weather data, historical weather data, and forecasted weather data for a specific geographic area for a time period coinciding with the performance of the particular mission, the mission-specific flight parameters defining the particular mission at a specific time and including one or more of a payload, a flight plan, a craft type, and a geographical location of the mission; analyzing the input data in a plurality of data processing modules within a computing environment in which the plurality of data processing modules are executed in conjunction with at least one processor, the data processing modules configured to confirm a validity of a flight certificate of mission authorization for the particular mission, and perform a risk assessment for the particular mission relative to the weather information and the mission-specific flight parameters by 1) computing one or more mission risk probabilities of an occurrence of both aircraft-based performance incidents and operator-based performance incidents during particular weather conditions in a weather-based statistical analysis, 2) continually learning a significance of a plurality of variables affecting one or more previous missions that include weather variables, operator experience, aircraft parameters, and payload parameters, and impacting the performance of the particular mission, and assigning weights to each variable in the plurality of variables based on the learned significance and on the particular weather conditions in the weather-based statistical analysis for the performance of the particular mission to determine one or more outcomes for the one or more mission risk possibilities, and 3) comparing the one or more outcomes of the one or more mission risk probabilities from the weather-based statistical analysis with the operational rules, information from a collection of the previous missions by the specific unmanned aircraft, and actuarial data related to one or both of the specific unmanned aircraft and an operator of the specific unmanned aircraft, to evaluate a flight condition of the unmanned aircraft for the performance of the mission to determine a proceed status, a do not proceed status, or a recovery status for the operation of the specific unmanned aircraft based on the particular weather conditions analyzed; and generating, as output data, mission compliance status confirming or denying compliance with the one or more operational rules for the operation of the specific unmanned aircraft, and at least one operational instruction for the specific unmanned aircraft. |
8880481 | 13434442 | 1 | 1. A method, comprising: receiving a query that identifies a percentile value, information identifying a dataset stored in a database system, and one or more groups of a plurality of data elements included in the dataset, wherein each data element includes a data value, and wherein the database system comprises a plurality of segment nodes each storing a segment of the dataset and each networked to a master node, wherein each node comprises a computer system; for each group identified by the query: sorting data elements in the group in each segment node in parallel to generate a respective sorted segment dataset in each segment node, storing the sorted dataset segment from each segment node in a respective container on a same segment node, determining a count of the number of data elements in the group, at the same segment node, streaming one data element at a time from any of the sorted dataset segments in order of data value of each data element, and picking the data value corresponding to the percentile value from the streaming data elements using the count; and providing the picked data value from each group to the master node. |
20150301927 | 14560766 | 0 | 1. A method of generating a negative test input data, the method comprising: extracting, by a data management device, a set of attributes and a set of attribute properties from a requirement specification; framing, by the data management device, a constraint representation syntax from the extracted set of attribute properties; modeling, by the data management device, a structured diagram from the framed constraint representation syntax and a set of use cases; constructing, by the data management device, a set of path predicates from the structured diagram; determining, by the data management device, one or more attribute classes from the set of path predicates based on an attribute constraint and an attribute dependency; and generating, by the data management device, the negative test input data for the one or more attribute classes. |
20030153085 | 10340520 | 0 | 1. A flow sorting method comprising: transporting a fluid composition comprising a plurality of objects through a pathway network, wherein the pathway network comprises a plurality of pathways and one or more branch points; analyzing one or more of the objects in pathway network; and directing at least one of the plurality of objects through the one or more branch points based on the analysis of the objects. |
20150281076 | 14665069 | 0 | 1. A controller configured with instructions for path tracing in a software defined network, the controller comprising: layer 2 path tracing in a software defined network for troubleshooting the network, the path tracing comprising: a user interface for taking an input of paths of interest to trace or a path identification in a header of a received packet; an encoder for receiving the input and generating a set of control messages to switches in the network that will stamp the packets traversing the traced paths with compact identification information and a corresponding codebook for decoding; and a decoder for using the codebook output by the encoder to translate the path identification information into hop-by-hop information. |
7730469 | 10840069 | 1 | 1. A method in a data processing system for optimizing a program, the method comprising the steps of: automatically analyzing a statistical profile of a program execution; and automatically optimizing object code of the program based on at least one of the analysis, information about at least one prior compilation of the program, and information about at least one prior optimization of the program, wherein, said automatically optimizing includes determining that information additional to the statistical profile is required to optimize the object code of the program, performing a first compiling of a portion of the program, executing the first compiled portion of the program, gathering the information additional to the statistical profile, generating and executing diagnostic code based on the information additional to the statistical profile to determine what optimization is required, performing a second compiling of the portion of the program using the results generated from executing the diagnostic code, and selecting, from among a plurality of optimization techniques based on logical relations between said plurality of optimization techniques, a not previously tried one of the plurality of optimization techniques if a previously tried optimization technique was unsuccessful. |
7894362 | 12027389 | 1 | 1. An apparatus comprising: an optical line terminal (OLT) in communication with a plurality of optical network terminals (ONTs) via an optical distribution network (ODN); and a passive optical network (PON) topology estimator coupled to the OLT or at least one of the ONTs, wherein the PON topology estimator is configured to model a PON topology, wherein the model comprises a plurality of network parameters, a plurality of component parameters, and at least one relationship between the network parameters and the component parameters, and wherein the PON topology represents the physical connectivity of optical fiber cables, couplers, splitters, distributors, or combinations thereof in the optical distribution network. |
9922293 | 15324809 | 1 | 1. A method for injecting signals into a utility grid, comprising: receiving a spatial reach and a temporal reach for each signal injection of a plurality of signal injections; computing a learning value for each signal injection in the plurality of signal injections; computing an expected effect value for each signal injection in the plurality of signal injections; selecting, based on the learning values and expected effect values, a set of signal injections wherein the spatial reach and temporal reach of each signal injection do not both overlap the spatial reach and temporal reach of another signal injection in the set; and injecting the selected set of signal injections into a utility grid, wherein the signal injections are changes in the state of grid controls, wherein the grid control is a capacitor bank. |
9183499 | 13866589 | 1 | 1. A computer-implemented method, comprising: obtaining a first quality model that was trained using a first set of training entities; identifying a set of candidate entities, where each candidate entity is different from each of the training entities; for each candidate entity in the set of candidate entities: obtaining a first quality score for the candidate entity; obtaining one or more neighbor features for neighbor entities of the candidate entity, where each neighbor entity of the candidate entity is an entity that is linked to the candidate entity; obtaining one or more entity specific feature values for the candidate entity, where each entity specific feature value is determined independent of the neighbor entities of the candidate entity; and determining a second quality score for the candidate entity using the first quality model, the second quality score being computed based on the first quality score, the neighbor features, and the entity specific feature values. |
8527589 | 10737131 | 1 | 1. A computer implemented method for managing member enrollment in a collaborative computing community, the method comprising: identifying one or more end user persons for enrollment in the collaborative computing community; implementing an enrollment model, executing in memory by a processor of a collaborative computing server, to determine whether to enroll the one or more identified end user persons as members in the community; updating community membership in an electronic storage medium of the collaborative computing server to enroll the one or more end user persons based on the implemented enrollment model; and wherein the implementing an enrollment model includes designating one or more community members as a sponsor member having privileges, the sponsor member granted a further privilege of sponsoring one or more of the end user persons for community membership as a sponsored member, wherein the sponsored member is granted a sponsored role in the community with privileges less than the privileges of a full member role. |
20130046531 | 13520060 | 0 | 1. A method for determining whether a text is deceptive, comprising: analyzing a body of textual content known to be one of text containing true content and text containing deceptive content; identifying psycho-linguistic cues that are indicative of a text being deceptive; statistically analyzing, via a computing device, a given text based upon the psycho-linguistic cues to determine if the text is deceptive. |
20170242667 | 15052473 | 0 | 1. A computer-implemented method, comprising: generating, by a computing system, declarative script models with services using a Data Notation Architecture (DNA), wherein the DNA provides a structure to identify and modify data schemas; creating instructions on how corresponding target application code is to be generated, by the computing system, using a Resolution Notation Architecture (RNA), wherein a given RNA file categorically qualifies and defines how DNA base pairs are resolved in the corresponding target application code; and generating rendered code and markup files for a corresponding target application as a part of a Genetic layer to be executed by a computing system associated with the corresponding target application using the RNA to create precompiled RNA. |
10089683 | 12903916 | 1 | 1. A computer-implemented method of reducing fraud in transactions, comprising: obtaining, by a risk management engine, authentication history data from an authentication history server, the authentication history server comprising an archive of authentication operations performed or attempted using an authentication protocol that requires a user to provide an authentication credential prior to authorization processing; identifying, by the risk management engine, authentication process characteristics common to confirmed fraudulent transactions in the authentication history data; generating, by the risk management engine, rules based upon the authentication process characteristics; receiving, by a directory server, a verification request message from a merchant computer; receiving, by the risk management engine from the directory server, a request to perform a fraud assessment for a payment account that is being used to conduct a payment transaction prior to initiation of the authorization processing for the payment transaction; requesting, by the risk management engine and from the authentication history server, data regarding a history of authentication operations performed involving the payment account; performing, by the risk management engine, a fraud assessment process using the rules and the data requested from the authentication history server; determining, as a result of the fraud assessment process, by the risk management engine, that the risk of the payment transaction exceeds a specified threshold and is suspected of being fraudulent; and generating, by the risk management engine, and sending an early warning message to the directory server and an access control server at an issuer of the payment account prior to generation of an authorization request message, by the access control server, for the payment transaction to prevent generation of the authorization request message for the payment transaction. |
8577681 | 10939942 | 1 | 1. A method comprising: providing a lexicon; receiving a spoken utterance of a word or phrase; after receiving the spoken utterance, obtaining an initial pronunciation for the spoken utterance; after obtaining the initial pronunciation, modifying the initial pronunciation to generate a plurality of alternative pronunciations; using the received spoken utterance to score each of the pronunciations among the plurality of alternative pronunciations; identifying a highest scoring pronunciation among the plurality of alternative pronunciations; and updating the lexicon with the highest scoring pronunciation. |
8849017 | 13427199 | 1 | 1. An image processing apparatus comprising: an image feature outputting unit that outputs each of image features, which are formed as features of a plurality of feature points of images of each frame in data of an input moving image, in correspondence with a time of the frame; a foreground estimating unit that estimates a foreground image at a time s by executing a view transform as a geometric transform on a foreground view model having the image feature of a foreground image in the image as a parameter in regard to the image feature at the time s, and then outputs an estimated foreground view; a background estimating unit that estimates a background image at the time s by executing a view transform as a geometric transform on a background view model having the image feature of a background image in the image as a parameter in regard to the image feature at the time s, and then outputs an estimated background view; a synthesized view generating unit that generates a synthesized view by synthesizing the estimated foreground view and the estimated background view; a foreground learning unit that learns the foreground view model based on an evaluation value obtained by comparison between the synthesized view and the image feature at the time s by updating the parameter of the foreground view model based on a stochastic generation model; and a background learning unit that learns the background view model based on the evaluation value by updating the parameter of the background view model based on a stochastic generation model. |
20120296690 | 13475219 | 0 | 1. A computer modeling apparatus, comprising: an input module enabling user specification of inventory information including at least one rundown component, and user specification of refinery product commitments; and a processor routine executable by a computer and coupled to the input module and responsive to the user specification by sequencing refinery operations into a schedule that matches refinery commitments with inventory and unit rundown operations, wherein the refinery operations include refinery operations events, and the processor routine providing on output a display of the schedule in a manner enabling optimized refinery operations. |