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10102271

14597156

1. A method comprising: receiving historical information of episodes, each episode including at least one sequence of events taken over a period of time; constructing event sets from the historical information, each of the event sets including at least one sequence of events; categorizing each event from the historical information with general event category labels and synthetic event category labels, a subset of the synthetic event category labels being broader than two or more of the general event category labels, at least a subset of the events having at least one general event category label and at least one synthetic event category label; learning an event metric on the events by using the general event category labels and the synthetic event category labels to perform dimensionality reduction to associate a vector with each event and to determine an angle between every two vectors, each general event category label and each synthetic event category label being assigned a separate dimension; determining an event set metric using distances between each pair of event sets using the event metric; deriving a sequence metric on the episodes to compute the distances between episodes, wherein the sequence metric obtaining a preferred match between two episodes with respect to a cost function describing a weighting for the event set metric; deriving a subsequence metric on the episodes to compute the distances between episodes, wherein the subsequence metric is a function of the event set metric on subsequences of each episode; grouping episodes into subgroups based on the distances obtained using the sequence metric and the subsequence metric; for at least one subgroup, generating a consensus sequence by finding a preferred sequence of events with respect to a function of the sequence metric and the subsequence metric between the preferred sequence and the episodes of the at least one subgroup; and generating a report indicating the consensus sequence.

8265777

12498943

1. A computer-implemented method for pervasive model adaptation, comprising: providing a production plan to a production system, the production plan including a sequence of actions; executing the production plan in the production system; collecting observation data produced by at least one sensor in the production system during execution of the production plan into a computer memory; calculating changes to be made to a system model in the computer memory based on the collected observation data; dynamically updating the system model according to the calculated changes; creating an updated production plan based at least partially on the dynamically updated system model; and storing the updated production plan within the computer memory; wherein the system model is a representation of what is believed to be true about the production system; wherein the production plan and dynamically updated production plan are optimized to provide optimal productivity while concurrently or substantially simultaneously optimized to provide maximum information content value for dynamically updating the system model; wherein the creating an updated production plan based at least partially on the dynamically updated system model comprises: creating a directed graph based on internal constraints of the production system; performing a best-first search algorithm on the directed graph by utilizing an information content function as the evaluation function for the best-first search algorithm to produce a path that maximizes information content; and setting the path produced by the best-first search algorithm as the updated production plan; and, wherein the information content function utilizes a Kalman filter.

20080219529

12065744

1. A computer-implemented method of performing image processing for images of biological objects, said method comprising: a) storing definitions of each of a plurality of descriptors for which measurements can be taken in relation to said biological objects; b) receiving image data relating to an image of a reference population of biological objects exposed to a given biological environment; c) receiving image data relating to an image of a target population of biological objects exposed to a different given biological environment; d) processing said reference population image data to obtain a reference set of measurements, containing data for each of said plurality of descriptors; e) processing said target population image data to obtain a target set of measurements, containing data for each of said plurality of descriptors; and f) selecting a combination of one or more of said plurality of descriptors on the basis of comparing said reference measurement data with said target measurements data to define a preferred combination of said descriptors for use in identifying characteristics of a further population of biological objects which are similar to those of the target population.

20080262988

12148310

1. A method of generating a design surface that promotes water drainage from soil in an area of interest, the method comprising: (a) acquiring topographic data for an initial surface in an area of interest; (b) providing the topographic data and a set of initial profile design parameters to a means for defining initial profiles; (c) calculating a plurality of initial profiles adhering to the initial profile design parameters; (d) providing the plurality of initial profiles and a set of balancing design parameters to a means for optimizing a cut/fill volume balance; (e) generating a plurality of design profiles with the means for optimizing a cut/fill volume balance, wherein the plurality of design profiles is substantially at balance; and, (f) generating a design surface from the plurality of design profiles.

8261163

12377139

1. A soft output decoder that receives code words corresponding to a plurality of information words and calculates soft decision decoding results of the plurality of information words from a plurality of likelihood values corresponding to a plurality of candidate values adopted by the plurality of information words, the soft output decoder comprising: a hard decision decoder that decides one of the plurality of candidate values as an estimated value; and a likelihood calculator that bans calculation of a likelihood value corresponding to the estimated value and calculates other likelihood values corresponding to others of the plurality of candidate values in the plurality of likelihood values.

20060145709

11305095

1 ) A method of determining the composition of a multiphase fluid comprising at least two mixed phases, comprising: a) selecting a mixture law that expresses a mean permittivity of the fluid as a function of permittivity and volume fraction of each phase; b) measuring an attenuation and a phase shift of at least two microwave beams of different frequencies that have traversed test fluids of known composition; c) from the mixture law and from the attenuation and phase shift measurements performed in b), determining for each one of the frequencies a measurement model that expresses the attenuation and the phase shift of a microwave beam as a function of the volume fraction of each phase; d) for each one of the frequencies, measuring an attenuation and a phase shift pair for at least one microwave beam that has traversed said multiphase fluid; e) determining the composition of the multiphase fluid by determining a value of volume fractions of the phases that minimize a function taking accounting for the distances, calculated for each one of the frequencies, between a point whose coordinates correspond to an attenuation and the phase shift pair measured for a value of the frequencies and a point whose coordinates correspond to the attenuation and phase shift pair determined by one of the models valid for the same frequency value.

9280632

13668113

1. A method implemented on a data processing system comprising a processor and a memory, the method, upon receipt of at least a portion of an integrated circuit design comprising: determining timing critical nets for the integrated circuit design using the processor; identifying a set of elements and nets for each of the timing critical nets; determining one or more islands from the union of timing critical nets having one or more common elements or nets; identifying one or more sub-portions of the integrated circuit design corresponding to the islands; executing a placer which places the one or more sub-portions of the integrated circuit design on a transformed representation of the integrated circuit design, wherein at least one of the determining timing critical nets, identifying a set of elements and nets, determining one or more islands, identifying one or more sub-portions, and executing a placer is performed using the processor; and storing the transformed representation of the design in the memory, wherein the stored transformed representation of the design is used in the creation of an integrated circuit.

10049032

14560766

1. A method of generating a negative test input data, the method comprising: extracting, by a data management device, a set of textual attributes and a set of textual 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; generating, by the data management device, the negative test input data for the one or more attribute classes; and executing, by the data management device, the generated negative test input data to test a model of an application.

10115111

12483887

1. A method comprising: automatically generating, with at least one processor, a predictive user model representing non-fraudulent activities undertaken by a user in multiple channels in association with an account of the user by transforming data representing the non-fraudulent activities of the user into relationships forming the predictive user model, wherein automatically generating the predictive user model comprises: generating, with the at least one processor, a plurality of components of the predictive user model from event parameters associated with a first set of events undertaken by the user when the user electronically accesses information associated with the account of the user, wherein the event parameters comprise data associated with the non-fraudulent activities undertaken by the user when the user electronically accesses information associated with an account of the user via a plurality of channels of the multiple channels that is collected during the first set of events, wherein the event parameters comprise IP address data or HTTP data and information associated with an ATM, information associated with a call center system, or information associated with an offline interaction, and wherein the IP address data or HTTP data comprises one or more of: IP address data or HTTP data associated with a login event of a session involving the user, IP address data or HTTP data associated with a termination event of a session involving the user, IP address data or HTTP data associated with an account access event of a session involving the user, IP address data or HTTP data associated with an activity event during a session involving the user, or any combination thereof; predicting, with the at least one processor and based on generating the plurality of components of the predictive user model, expected behavior of the user during a second set of events using the predictive user model, wherein the second set of events is associated with the non-fraudulent activities undertaken by the user when the user electronically accesses the account of the user, wherein predicting the expected behavior of the user during the second set of events comprises: generating a statistical relationship between the event parameters associated with the first set of events and derived parameters, wherein the derived parameters include one or more of: a geographic area from which a first device having the IP address data or identified by the HTTP data, that is conducting a session involving the user during the first set of events, a location within the geographic area of the first device having the IP address data or identified by the HTTP data, that is conducting a session involving the user during the first set of events, an identification of the first device having the IP address data or identified by the HTTP data, that is conducting a session involving the user during the first set of events, an electronic service provider of the first device having the IP address data or identified by the HTTP data, that is conducting a session involving the user during the first set of events, or any combination thereof; generating, with the at least one processor and from data representing fraudulent activities of a plurality of fraudsters in a plurality of third party accounts, a predictive fraud model; generating, with the at least one processor, data representing a prediction of expected behavior of a fraudster associated with a third set of events using the predictive fraud model, wherein the third set of events is associated with fraudulent activities undertaken by the fraudster in association with an additional account, wherein the predictive fraud model is independent of the predictive user model and is generated using the data representing the fraudulent activities of the plurality of fraudsters in the plurality of third party accounts; and calculating, with the at least one processor, a risk score associated with at least one fourth event that is conducted in real-time, wherein the risk score comprises an indication that the at least one fourth event is performed by the user instead of the fraudster, where the at least one fourth event is associated with electronically accessing the account of the user, wherein calculating the risk score comprises: calculating the risk score by comparing the expected behavior of the user during the second set of events predicted using the predictive user model, the data representing the prediction of expected behavior of the fraudster associated with the third set of events generated using the predictive fraud model, and IP address data or HTTP data of a second device conducting a session associated with the at least one fourth event; and generating, with the at least one processor, an alert associated with the account of the user based on calculating the risk score associated with the at least one fourth event.

20120054248

12862931

1. A method for rebalancing database table space in a hybrid storage environment comprising: detecting a change in storage characteristics of a first user in a hybrid storage environment comprising a set of standard performance storage units and a set of high performance storage units; in response to said detection, mapping a first set of extents stored in the hybrid storage environment that are associated with the first user, wherein said mapping comprises determining in which set of storage units each extent in the first set is stored; in response to said detection, characterizing each extent in the first set as a standard or priority extent by evaluating the storage characteristics of the first user and one or more storage rules associated with the hybrid storage environment; in response to said mapping and characterizing, evaluating whether redistribution of the first set of extents is needed, wherein if priority extents in the first set are stored in the set of standard performance units then a redistribution of the first set of extents is triggered; and in response to said trigger, redistributing the first set of extents among the storage units using the one or more storage rules by moving priority extents stored in the set of standard performance units to the set of high performance storage units.

20060061547

11220800

1. A graphical user interface for a quality analysis computer program, the interface and computer program being stored as computer-readable instructions on a computer-readable medium, the interface comprising: a first display area for displaying graphical representations of statistical data; a second display area containing a tree representation of a quality analysis project, the tree representation comprising: one or more quality analysis project steps; one or more statistical tool categories associated with the one or more quality analysis project steps; one or more statistical tools associated with the one or more statistical tool categories.

20030084018

09999646

1. A method of monitoring an application running on a server, the method comprising: maintaining a counter for each of one or more first operational statistics for one or more components of the application; collecting the one or more first operational statistic represented by the counters; updating a first aggregation of each of the one or more first operational statistics for each of the one or more components of the application based on the first operational statistics represented by the counters; and storing the first aggregation for access by a statistical presentation agent.

20030017481

10074789

1. A method of assigning a sample to a known or putative class, comprising the steps of: a) determining a weighted vote for one of the classes for one or more informative genes in said sample in accordance with a model built with a weighted voting scheme, wherein the magnitude of each vote depends on the expression level of the gene in said sample and on the degree of correlation of the gene's expression with class distinction; and b) summing the votes to determine the winning class and a prediction strength, wherein said sample is assigned to the winning class if the prediction strength is greater than a prediction strength threshold.

20150074025

14170881

1. A multi-objective semiconductor product capacity planning system, comprising: a data input module, accepting inputs of machine information, product information and order information, the machine information defining a plurality of production stations and a capacity limit of the plurality of production stations, the product information defining a plurality of product categories and a production cost of the plurality of product categories, the order information defining a demand quantity of order for a plurality of customer orders and a product price; a capacity planning module, receiving input data from the data input module, coordinating the demand quantity of order with the machine information and the product information to plan a satisfied number of order to satisfy the capacity limit, determining the satisfied number of order by a capacity allocation proportion of order to decide a capacity utilization rate of each of the orders and a satisfied priority of order to arrange a production sequence of each of the orders, combining the capacity allocation proportion of order and the satisfied priority of order as a resource allocation and transforming the resource allocation into a gene combination by a chromosome encoding method; and a computing module, receiving the gene combination from the capacity planning module, calculating the gene combination several times to generate a plurality of new candidate solutions by using a multi-objective genetic algorithm, sorting the plurality of new candidate solutions by using a plurality of planning objectives as evaluation criteria to generate a new gene combination, and repeating the calculation to form a candidate solution set until a stop condition is satisfied, transforming the candidate solution set into a plurality of suggestive plans and selecting one of the plurality of suggestive plans to arrange the production stations for manufacturing the product categories.

20150248481

14195283

1. A method of enabling navigation of a plurality of data items corresponding to a query, the method comprising: collecting user search queries; parsing the collected user search queries for aspect phrases; identifying aspect metadata for the aspect phrases; creating a ranked index list of aspects from the aspect metadata; assigning weights to the ranked index list of aspects; receiving a user query and associating the received query with the ranked index list of aspects to produce ranked search results; and re-ranking the search results using diversified aspects from the ranked index list of aspects to produce user search results.

20140292542

14346022

1. A method for classifying parking scenarios for an assistance system for parking a motor vehicle, a predefined number of parking scenarios being defined and each parking scenario being described by a predefined number of typical parking scenario criteria, the criteria being based at least on parking-space-specific parameters, the method comprising: determining data relating to the environment of the motor vehicle using an environment sensor system of the motor vehicle; determining parking-space-specific parameters from the environment data; checking the criteria of each parking scenario using the parking-space-specific parameters; and classifying each parking scenario using the criteria which have been checked.

6031935

09022870

1. A method of segmenting a set of images comprising the steps of: a) providing a set of search images, each search image containing a view of a target object; b) providing a priori domain knowledge corresponding to the set of search images; c) selecting a training image from the set of search images; d) obtaining at least one training contour from the selected training image, the training contour representing an outline of the target object in the selected training image; e) utilizing the selected training contour to extract training information corresponding to the target object in the selected training image; f) associating the training contour with a selected search image of the set of images, the training contour defining a search contour; g) deforming the search contour relative to the selected search image and maintaining predetermined information corresponding to the deformed search contour; h) utilizing the training information and the a priori domain knowledge to identify regions of the deformed search contour that correspond within predetermined limits to an outline of the target object in the selected search image; and i) repeating steps (c) through (h) for each image in the set of search images so as to segment all of the images in the set of search images.

20100312737

12479271

1. A computer implemented method for evaluating architectural design patterns for data integration in an enterprise system, the computer implemented method comprising: deriving a set of decision factors from a set of requirements for a system to be integrated, wherein the set of requirements specify capabilities an architecture design pattern is required to provide; assigning a default score to each decision factor in the set of decision factors based on historical data integration knowledge; calculating a weighted score for each decision factor using the default scores to indicate a priority of a decision factor in relation to other decision factors; assigning a priority score to each decision factor based on inputs obtained from system metadata related to the decision factors from virtual and physical data sources, experts in the enterprise system, and expert data related to the decision factors from subject matter experts in the enterprise system; calculating an individual consolidated score using the default score, weighted score, and the priority score of each decision factor; calculating a total consolidated score from the individual consolidated scores for the architecture design pattern; and comparing the total consolidated score for the architecture design pattern against total consolidated scores for other architecture design patterns to determine a suitable candidate architecture design pattern for data integration.

20030079218

10121955

1. A method of facilitating remote participation in an activity monitorable by an audience, the method comprising the steps of: a. facilitating remote monitoring of the activity by the audience; b. receiving at least one command from a member of the audience concerning progress of the action; c. processing the at least one command to develop a consensus command; and d. using the consensus command to direct the action.

20090271359

12429394

1. A computer implemented iterative process for generating entity representations in a computer implemented database using a record matching formula and for generating parameters for the record matching formula, the database comprising a plurality of records, each record comprising a plurality of fields, each field capable of containing a field value, wherein at least a portion of parameters for the record matching formula are generated using a symmetric and reflexive function and configured for a particular field value appearing in a selected field of at least one record, and wherein the process provides for linking records or entity representations with non-identical field values, the process comprising: selecting a distance; calculating a field value weight, the field value weight reflecting a likelihood that an arbitrary record in the database comprises a field value in the selected field of the arbitrary record that lies within the distance of the particular field value as determined by the symmetric and reflexive function; forming a plurality of entity representations in the database, each entity representation comprising at least two records linked using a first instance of the record matching formula, at least one entity representation comprising a first record comprising the particular field value, the first record linked to a second record using a first instance of the record matching formula comprising the field value weight; calculating a revised field value weight, the revised field value weight reflecting a likelihood that an arbitrary entity representation in the database comprises a field value, in the selected field of a record in the arbitrary entity representation, that lies within the distance of the particular field value as determined by the symmetric and reflexive function; linking at least two entity representations in the database based on a second instance of the record matching formula, wherein the second instance of the record matching formula comprises the revised field value weight, whereby a number of entity representations in the database is reduced by the linking at least two entity representations relative to a number of entity representations in the database prior to the linking at least two entity representations; and retrieving information from at least one record in the database.

8856642

13948069

1. A method, comprising: receiving, by a context analysis module, annotated documents, the annotated documents comprising annotated fields; analyzing, by the context analysis module, the annotated documents to determine contextual information for each of the annotated fields; determining discriminative sequences using the contextual information, wherein determining discriminative sequences further comprises: determining, by a contiguity heuristics module, longest contiguous common subsequences between aligned pairs of strings of the annotated documents; determining, by the contiguity heuristics module, a frequency of occurrence of similar longest contiguous common subsequences; and wherein the contiguity heuristics module generates a proposed rule or a feature set from longest contiguous common subsequences having a desired frequency of occurrence; generating, by the context analysis module, the proposed rule or the feature set using the discriminative sequences and the annotated fields; providing, by the context analysis module, the proposed rule or the feature set to a document annotator; converting, by a feature-based extractor generator, the feature set into a feature-based vector; and applying, by a classifier model annotator, the feature-based vector to a target document to create an annotated document.

9400935

13867464

1. An image forming system comprising: a photographing sensor configured to capture an image of a physical object; a detector configured to use an object model to detect a region of the image that includes the physical object, wherein the object model is trained by an image of the physical object, wherein the image of the physical object is extracted from a difference image by use of at least one sub-window, wherein each difference image is either a positive or a negative image of the physical object, and wherein each difference image corresponds to a difference between a first image of the physical object and a second image of the physical object; a status parameter computing processor configured to compute status parameters, based on the region where the detected physical object exists in the image of the physical object, so as to enable the physical object to be in the central region of the image; a controller configured to receive the status parameters, and adjust the status of the image; a memory device configured to store the image of the physical object; a display configured to display the image of the physical object; and a sub-window processor configured to use at least one sub-window to extract the image of the physical object from the difference image, wherein the sub-window processor is configured to: create double windows by simultaneously varying width and height of two windows, in an adjustable scale according to the image scale; vary the width and height of the double windows, by using consistent zoom parameters, and slide the double windows on the image, so as to capture a wide-range hidden pattern according to the scale, wherein the double windows are slid relative to each other in a horizontal direction or in a vertical direction, in order to capture a wide-range hidden pattern.

8122063

11617464

1. A computer system for controlling actions in a computer-based process, the system comprising: one or more processors operable to provide: a status schema model that is defined at design-time; and a computer-readable storage device including computer-executable instructions that, when executed by the processor, perform operations comprising: creating a status schema instance for a particular data object node instance being used in a computer-based process, the status schema instance corresponding to the status schema model, and the data object node instance including a status variable, multiple status values for the status variable, and actions capable of being performed by the data object node instance, each status value of the status variable being a precondition for at least one of the actions, the precondition identifying whether the associated action is to be allowed to be performed at runtime by the data object node instance; based on the status schema instance, monitoring a status of the status value of the status variable of the data object node instance to determine whether a precondition associated with a particular action is satisfied; in response to the determination that the precondition is satisfied, enabling the particular action to be executed; and in response to executing the particular action, altering the status value of the status variable.

20140108439

13650077

1. A method for inferring interests, the method comprising: receiving, by a computer system, one or more indicators of approval of from a user, each of the one or more indicators having a text corresponding thereto; evaluating, by the computer system, the one or more texts of the one or more indicators and identifying for the one or more texts one or more principal concepts corresponding thereto; for each principal concept of the one or more principal concepts: locating a principal article in the taxonomy corresponding to the principal concept; identifying candidate articles according to linking of the candidate articles relative to the principal article; evaluating similarity of the candidate articles to the principal article; and selecting at least one of the candidate articles according to the evaluation of similarity; generating, by the computer system, recommendations for the user in accordance with concepts associated with the selected at least one of the candidate articles for each of the principal concepts; and transmitting, by the computer system, for display to the user, the recommendations.

9317954

14141348

1. A computer-implemented method comprising: obtaining a three-dimensional scan of a subject; generating a customized digital model including a set of blendshapes using the three-dimensional scan, each of one or more blendshapes of the set of blendshapes representing at least a portion of a characteristic of the subject; receiving input data of the subject, the input data including video data and depth data; tracking body deformations of the subject by fitting the input data using one or more of the blendshapes of the set; generating a refined linear model including one or more adaptive principal component analysis shapes, the refined linear model being generated by deforming the set of blendshapes onto the input data to obtain a deformed mesh and projecting the deformed mesh to a linear adaptive principal component analysis subspace; and fitting the refined linear model onto the input data using the one or more adaptive principal component analysis shapes.

7676216

11188564

1. A method of operating a processing system in a wireless network, the wireless network including at least one access point (“AP”), the method comprising: storing a classification for each of a set of AP classifications for each access point of a set of at least one classified access point of the wireless network, wherein the wireless network is a managed wireless network, and wherein set of AP classifications includes a managed AP, A friendly AP, and a rogue AP, a managed access point being an access point whose channel of operation and transmit power setting are managed by one or more management entities; from time-to-time, measuring a first set of at least one property of each already classified access point of the set of at least one classified access point of the wireless network; and re-classifying each already classified access point in response to the measuring based on at least one function of a second set of at least one property of the access point, the second set of properties including the first set of properties, such that each already classified access point of the set of at least one access point is already classified according to the set of AP classifications, and wherein the re-classifying is into one of the AP classifications.

8237716

12206691

1. A computer-implemented method for drawing directed acyclic graphs, the method comprising: receiving, in a computing system comprising at least one computer processor, information representing a directed acyclic graph; providing the information to the at least one computer processor of the computing system: generating a layout of the directed acyclic graph utilizing the computing system, the layout comprised of one or more subgraphs, each subgraph comprising two or more nodes and edges that connect pairs of nodes, the nodes and edges being defined in x- and y-coordinates; reducing the number of edge crossings in the layout of the directed acyclic graph utilizing the computing system; straightening the edges of the layout of the directed acyclic graph utilizing the computing system, the straightening increasing a number of vertical edges in the directed acyclic graph; compacting the one or more subgraphs along x-coordinate axis to generate a compacted directed acyclic graph layout associated with a compacted directed acyclic graph utilizing the computing system; and assigning new y-coordinates to the nodes of the one or more subgraphs such that the nodes do not overlap in the y-coordinate to generate a new directed acyclic graph utilizing the computing system, wherein assigning new y-coordinates comprises: computing, for each level of a plurality of levels of the layout of the directed acyclic graph, a weight function that is the ratio of a square of incoming edges to the each level and a number of nodes at the each level; and adjusting vertical separation between adjacent levels of the plurality of levels in proportion with computed weight functions associated with the adjacent levels.

20060293834

11159347

1. A computer-based apparatus for redesigning a travel network having a plurality of origin-destination pairs, comprising: a surplus determining device configured to determine the consumer surplus generated by an additional path added to a first origin-destination pair within the travel network.

6106367

09092533

1. A method for accessing a circuit region on a flip chip die mounted on a chip package, the method comprising: removing a first portion of the flip chip die and the chip package, the flip chip die having a number of electrical connections to the chip package in the circuit region; attaching a second portion of the flip chip die and the chip package to a die reduction tool; and accessing at least one of the number of electrical connections in the second portion.

8990268

14216936

1. A method for executing a command in a computing environment to perform a database operation utilizing a computerized representation of a functional system, the method comprising the steps of: electronically storing a set of data entities in a database system, the data entities representing elements of the functional system, wherein the functional system comprises a group of related elements ordered by their functional roles in converting inputs to outputs, or as the inputs, or as the outputs; electronically storing a computerized representation of a functional system syntax, wherein the functional system syntax can be applied by a computer processor to establish the validity of expressions of elements of the functional system based on one or more functional attributes of elements of the system; wherein the functional attributes are characteristic properties of the elements of the functional system, and wherein the elements are electronically represented by the data entities in the computerized representation of the functional information system; wherein the functional information system, utilizing the computerized representation of the functional system syntax, structures the data entities according to functional relationships among the inputs, the outputs, and the roles in converting the inputs to the outputs; assigning syntactic tags to the data entities in the functional information system based on the functional attributes of the elements to which the data entities correspond, thereby enabling data entities to be combined to form valid syntactic expressions; and enabling data creating, reading, updating, and deleting operations on the data entities and tags in the data store to correspond with changes in the functional system.

20080228446

12091069

1. A method for estimating the value of a function ƒ of an unknown signal x from compressive measurements of said unknown signal x, the method comprising the steps of: (a) obtaining compressive measurements of an unknown signal x, and (b) determining a value of a function ƒ most consistent with said obtained compressive measurements.

7729964

11022402

1. A computer readable medium having computer executable instructions executing a method for determining whether a financial metric representing the performance of a target company has an anomalous value, the method comprising: identifying a target value, the target value being the value of the financial metric associated with the target company; collecting context data based upon the target company, wherein the context data is a small data set; computing non-traditional z-score statistical measurements using the context data with the target value excluded; calculating an anomaly score with a computer using the target value and the non-traditional z-score statistical measurements, wherein calculating the anomaly score is performed using an equation of the form A = Xt - CT V where A is the anomaly score, Xt is the target value, CT is a measure of the central tendency, and V is a measure of variance; and comparing the anomaly score with a threshold value such that if the anomaly score exceeds the threshold value, the target value is considered to have said anomalous value.

9224067

13748316

1. A cyber security system for digital artifact genetic modeling and forensic analysis, comprising: one or more processors and a memory, the memory having instructions encoded thereon such that upon execution of the instructions, the one or more processors perform operations of: receiving a plurality of digital artifacts, each digital artifact possessing features; extracting the features from the digital artifacts; classifying the features into descriptive genotype-phenotype structures, such that genotype features are those that carry inheritance information, and phenotype features are those that carry behavioral information; and determining a lineage, heredity, and provenance of the digital artifacts based on mapping of the genotype-phenotype structures.

20150120490

14069167

1. A computer-implemented method of configuring a product based on an initial product model, the initial product model comprising variables, wherein each variable is associated with a set of values, and wherein at least one of the variables is defined as a scope variable, and a rules representing inter-dependencies among the variables and values, wherein the variables and rules define a product configuration problem to be solved, the method comprising a computer restricting the initial product model based on one set value from the set of values of the at least one scope variable resulting in a remaining simplified product model, iteratively setting values for other variables not being scope variables based on the simplified product model.

7970717

12647536

1. A method for enabling machine learning, comprising: receiving a support vector comprising a feature represented by one non-zero entry; identifying a column within a matrix with non-zero entries, wherein the column is identified in accordance with a common feature of the support vector; and performing, via a processor, kernel computations using successive list merging on the identified column of the matrix and the support vector to derive a result vector, wherein the result vector is used in a data learning function, wherein the data learning function is applied to a machine learning application.

20150039652

14449870

1. A computer system, comprising: one or more processors; and memory storing one or more programs for execution by the one or more processors, the one or more programs including instructions for: receiving, at the computer system, a request to quantify factor timing performance associated with a respective group of members; obtaining, at the computer system, historical performance data for a plurality of predefined factors; obtaining, at the computer system, historical group factor exposure data for the plurality of predefined factors for the respective group, wherein a respective entry in the historical group factor exposure data represents a relationship between a respective entry in historical performance data of the respective group and a respective entry in historical performance data of a respective factor of the plurality of predefined factors for a respective time period; generating, at the computer system, historical group factor performance data for the plurality of predefined factors for the respective group in accordance with the historical performance data for the plurality of predefined factors and the historical group factor exposure data for the plurality of predefined factors for the respective group; storing, at the computer system, the historical group factor performance data for the plurality of predefined factors for the respective group; generating, at the computer system, historical group static factor performance data for the plurality of predefined factors for the respective group in accordance with the historical performance data for the plurality of predefined factors and one or more representative values of the historical group factor exposure data for the plurality of predefined factors for the respective group; storing, at the computer system, the historical group static factor performance data for the plurality of predefined factors for the respective group; generating, at the computer system, historical group dynamic factor performance data for the plurality of predefined factors for the respective group in accordance with the historical group factor performance data for the plurality of predefined factors for the respective group and the historical group static factor performance data for the plurality of predefined factors for the respective group, wherein a respective entry in the historical group dynamic factor performance data represents the factor timing performance associated with the respective group for a respective factor for a respective time period; storing, at the computer system, the historical group dynamic factor performance data for the plurality of predefined factors for the respective group; and providing one or more values that represent the historical group dynamic factor performance data.

8135576

11718129

1. A method for creating a sentence in a natural language understanding interface, said method comprising: providing, by a computer system, at least one base sentence; providing, by said computer system, at least one condition; providing, by said computer system, at least one connective; appending, by said computer system, said at least one base sentence to said at least one connective; and appending, by said computer system, said base sentence and connective to said at least one condition to create a composite sentence, wherein said composite sentence is an object in a natural language understanding interface.

20150039596

13954695

1. A method comprising, by one or more computing devices: accessing a first set of queries of an online social network received from one or more users of the online social network; retrieving, for each query of the first set of queries, a first number of objects that match at least a portion of the query from one or more data stores, each data store storing one or more objects associated with the online social network, wherein each object is associated with a pre-determined static-score based on a static-scoring algorithm, and wherein retrieving the first number of objects is based on the static-scores of the objects; calculating, for each query, a final-score for each retrieved object based on a final-scoring algorithm; and determining one or more revised static-scores for one or more of the retrieved objects based on a comparison of the final-scores and the static-scores of the retrieved objects.

20100100251

12253219

1. The establishment method for the fault tree for a nuclear power plant with advanced boiling water reactor includes the following procedures: i) Analyze signal source for equipment operation, including manual and automatic operation signals for single and multiple equipments; ii) Build process flow diagram for operation signals, in which water-level, temperature and pressure detection units can generate automatic operation signals, while various mechanical signal generation units and video signal generation unit can generate manual signals; iii) Split operation signals source, wherein the operation signals including (1) all automatic operation signal flow processes provided by water-level, temperature and pressure detection units, (2) all manual operation signal flow processes provided by mechanical signal generation unit, (3) all manual operation signal flow processes provided by touch screen video signal generation unit; iv) Select and revise standard fault tree, so the common instrument control units shared by different signal sources shall use the same basic event name in different standard fault tree; v) Link standard fault tree, so for specific equipment in the system, making selection on the operation signal flow process for all signal sources that can operate the specific equipment and then linking all the corresponding standard fault trees into the fault tree for the specific equipment.

20040083436

10282478

1. A method for generating dynamic circuit design guidelines comprising: modeling a dynamic circuit using one of a plurality of modeling circuit types; simulating said modeled dynamic circuit; automatically extracting selected information from raw data measured during said simulating step; and automatically analyzing said selected information to create said dynamic circuit design guidelines.

7587395

11190354

1. A method for providing profile matching within an unstructured electronic document having been recorded on a computer-readable medium, the method steps comprising: loading one or more unstructured electronic documents from storage; defining a set of requirements to be met by each of the unstructured electronic documents, said defining further comprising creating list of keywords from the defined set of requirements and defining a set of one or more synonyms represented by each keyword; calculating a degree of conformance of each of the unstructured electronic documents containing one or more of the defined set of one or more synonyms each containing one or more criteria; and rating each of the unstructured documents by assigning one or more profile scores indicating a document's calculated degree of conformity to the one or more defined synonyms represented by each keyword.

7792869

10563409

1. A computerized method for projecting information data from a multidimensional space onto a space having fewer dimensions, comprising: receiving a database of N-dimensional data in the form of records having a certain number of variables; defining a metric function for calculating a distance between each record and all the other records in the database; calculating a matrix of distances between each record and all the other records in the database using said metric function; defining a N−1 dimensional space in which each record is defined by N−1 coordinates; calculating the N−1 coordinates of each record in the N−1 dimensional space using an evolutionary algorithm applied to all the records in the database at the same time; defining a best projection of the records onto the N−1 dimensional space as a projection in which a distance matrix between each record and all the other records in the N−1 dimensional space best fits or has minimum differences with the distance matrix of the records calculated in the N-dimensional space, and outputting said best projection of the records to a user, wherein said receiving, defining, calculating and outputting are performed by a data processor, and wherein said evolutionary algorithm comprises combinatory criteria that include marriages, causing two parent records to combine their sets of data, and mutations, causing erroneous self-replications of records, wherein at least a number of marriages and of mutations of individuals are adaptive self-definable internal variables, wherein a hidden point is defined which corresponds to a hidden record or to a hidden variable whose existence is only guessed at, said hidden point is added to the parent population by giving it position coordinates X hi and Y hi in the projection, and wherein the calculation of the evolutionary algorithm is carried out in parallel with and without the hidden point and wherein best fit projections obtained from said two parallel calculations are compared.

6092064

08964064

1. A computer program device readable by a machine, tangibly embodying a program of instructions executable by the machine to perform method steps for generating quantitative association rules, the method steps comprising: a) receiving a query including antecedent and consequent attributes where said antecedent and consequent attributes further comprise a plurality of quantitative and categorical attributes; b) organizing a relationship between said antecedent and consequent attributes; c) prestoring data defining the relationship between said antecedent attributes and data related to said consequent attributes; and d) deriving one or more quantitative association rules from prestored data in response to said prestoring step.

8885970

12763838

1. An image processing apparatus comprising: a calculation unit configured to calculate, based on a pixel value of a pixel of interest and a pixel value of a pixel around the pixel of interest, a spatial frequency around the pixel of interest and a feature amount which is represented by using a difference between the pixel value of the pixel of interest and pixel values around the pixel of interest; a storage unit configured to store correction parameters corresponding to sets of the spatial frequency and the feature amount; an acquisition unit configured to acquire, from said storage unit, a correction parameter corresponding to the calculated spatial frequency and the calculated feature amount, as a correction parameter for a region including the pixel of interest and pixels around the pixel of interest, wherein a correction parameter corresponding to a higher spatial frequency is configured to provide a correction making each and every luminance of the entirety of the region brighter than a correction parameter corresponding to a lower spatial frequency, or a correction parameter corresponding to a larger feature amount is configured to provide a correction making each and every luminance of the entirety of the region brighter than a correction parameter corresponding to a smaller feature amount; and a correction unit configured to correct a luminance of the region using the acquired correction parameter; wherein the feature amount includes a first feature amount which is represented by using a difference between the pixel value of the pixel of interest and pixel values around the pixel of interest and a second feature amount which is represented by any one of an average value, a mode value, a median value, a minimum value or maximum value between the pixel value of the pixel of interest and pixel values around the pixel of interest, wherein the higher the spatial frequency is, the larger the first feature amount is, and the higher the second feature amount is, the brighter the correction unit corrects the luminance of the entirety of the region.

20070297534

11472453

1. A radio frequency identification (RFID) tag for communicating with a RFID reader, comprising: an antenna configured to receive a radio frequency signal from a reader; a memory configured to store a first plurality of data bits; a mapper configured to receive a plurality of N data bits of the first plurality of data bits, and to map the plurality of N data bits into a point of an M-QAM constellation of points, where M=2 N , and where the point is defined by an I coordinate and a Q coordinate; and a quadrature modulator configured to generate a quadrature modulated radio frequency signal based on the I and Q coordinates and the received radio frequency signal; wherein the antenna is configured to radiate the quadrature modulated radio frequency signal.

8751164

12336740

1. A system for allocating actual production loss of a wellsite, comprising: a user interface module configured to capture production data according to a data collection procedure, the production data comprising actual production data and a maximum production potential of the wellsite; a data repository configured to store the production data; an allocation module configured to selectively allocate at least a portion of the actual production data to the wellsite based on allocation rules to obtain derived production data; and a loss reconciliation module configured to: determine the actual production loss based on the derived production data and the maximum production potential, determine a calculated production loss for one of a plurality of production events based on the maximum production potential and attributes of the one of a plurality of production events, and reconcile the actual production loss and the calculated production loss to determine a cause of the actual production loss.

8145741

12684468

1. A computer-implemented method for selecting a target design for a tier of an architecture of components based on a set of established criteria, comprising: evaluating, by a computer, a plurality of designs satisfying a first criterion based on a number of spare components for satisfying a downtime criterion for the tier and anticipated performance of the components in the tier, wherein each of the spare components is a redundant component that is useable for failover from another component, and wherein the downtime criterion relates to an allowed downtime over a predefined time period; selecting, by the computer, a lowest cost design from the plurality of designs; and establishing, by the computer, the lowest cost design as the target design.

20100274810

12429830

1. A sustainability search system, comprising: at least one processor coupled to memory retaining instructions for: a query component that searches at least one target for data elements satisfying a set of search criteria and a set of sustainability factors, wherein the search criteria defines an object of the query, and the sustainability factors are measures of at least one of the environmental or socio-environmental impact for at least one of a process, a product, or a plant element; and an evaluation component that analyzes the data elements located by the query component, wherein the analysis includes determining a sustainability score for each data element based at least in part on the associated sustainability factors.

7882135

12533435

1. A method of predicting whether a test treatment belongs to a class of test treatments having a pattern of animal behavior associated with said class of test treatments, said method comprising: (a) administering a test treatment to at least one animal; (b) using a computer to capture behavioral data of said at least one animal administered said test treatment; (c) using a computer to compare information derived from an analysis of the captured data from (b) with stored class signature information from a database comprising signatures associated with treatment classes to predict a probability that the test treatment is a member of at least one treatment class represented in the stored class signature information, wherein said stored signature information was obtained by: (i) collecting behavioral data from animals administered at least one known treatment which is a member of a class of treatments; and (ii) using a computer to define said signatures for said treatment class by correlating features of said behavioral data with said known treatment class member; and (iii) storing said signature information in a computer; and (d) outputting a result from (c) that is indicative of whether said test treatment is a member of at least one treatment class.

20070120727

10571127

1. A Turing machine formed using a superconductor, constituted by a quantum bit created by utilizing phase differences between superconducting order parameters existing at each of multiple bands of the superconductor.

8195593

12005046

1. A method comprising: identifying a member of a population cohort; and indicating, using a suitable microprocessor, at least one behavior in the member of the population cohort based on an association between the population cohort and at least one cohort-linked avatar, where the at least one cohort-linked avatar is at least partly based on a mental state associated with at least one physiologic activity measurement, and where at least one of a weight or a priority is assigned to at least one of a reference mental state or at least one reference physiologic activity measurement.

9208386

13385030

1. A system for automatically characterizing a plurality of video streams, comprising: a plurality of cameras that produce said plurality of video streams, each video stream comprising frames of video; and a plurality of processors configured to receive said plurality of video streams, each of said plurality of processors being programmed for digitizing a plurality of dismounts within said plurality of video feeds, said plurality of processors being programmed for producing numerical characterizations for said plurality of dismounts in said frames of video of an enthalpy related to an energy of said plurality of dismounts and an entropy related to a discordance of motion of said plurality of dismounts with respect to a comparison of said frames of video, whereby each of said video streams is numerically characterized for said enthalpy and said entropy; wherein said plurality of processors are programmed to determine crowd region of influence related to a density of said dismounts, and to produce a numerical value for a crowd temperature based on a size of said region of influence, a number of said dismounts and said enthalpy and said entropy.

9454733

13968231

1. A method performed by a computer-implemented node, the method comprising: receiving a complete set of training data, wherein the complete set of training data comprises a plurality of feature vectors, and wherein the plurality of feature vectors comprises vectors representing completed financial product transactions including transaction prices; receiving instructions to train a predictive model having a plurality of parameters on an initial subset of the complete set of training data, wherein the predictive model is a model predicting a next transaction price or a next transaction price direction for one or more financial products; training the predictive model on the initial subset using a model training process to generate a respective first parameter value for each of the model parameters; storing data representing a first state of the predictive model after training the predictive model on the initial subset, wherein the first state includes the first parameter values and components of the model training process used to generate the first parameter values; receiving updated parameter values and instructions to train the predictive model on a new subset of the complete set of training data, wherein the new subset contains feature vectors from the initial subset and new feature vectors from the complete set of training data that have not been used to train the predictive model; and training the predictive model on the new subset beginning from the first state of the predictive model with the updated parameter values in place of the first parameter values using the model training process to generate a respective second parameter value for each of the model parameters.

8706491

12862001

1. A method of training an information extraction system to extract information from a natural language input, comprising: initializing a structured language model with syntactically annotated training data, the annotated training data including a parse tree for a sentence having syntactic labels comprising a frame label indicating an overall action being referred to by the sentence and slot labels identifying attributes of the action; training the structured language model by generating parses with the initialized structured language model using annotated training data that has semantic constituent labels with semantic constituent boundaries identified, wherein the structured language model is trained as a match constrained parser which generates a set of syntactic parses for a given word string that all match the constituent boundaries specified by the semantic parse, by determining whether unlabeled constituents that define the semantic parse are included in a set of constituents that define the syntactic parse, wherein any parses that do not match the constituent boundaries are discarded; replacing the syntactic labels in the parse tree with joint syntactic and semantic labels based on the generated parses excluding the discarded parses; and retraining the structured language model in which the structured language model generates parses that are constrained to identically match the semantic constituent labels of the joint syntactic and semantic labels and constrained to match all of the semantic constituent boundaries.

8224739

11830606

1. A method executed by a computer, comprising: receiving, at the computer, bids in a combinatorial auction for a sale of identical units of a good, having n bids; computing, by the computer, a fully polynomial-time approximation scheme (FPTAS) for an interval knapsack problem (I-KP) in time O(n log n+n/ε 2 ) to calculate winning bids, wherein the I-KP associates with the good a unit price and an interval range of units, and wherein the winning bids are a subset of n, selected to find an optimal solution in time O(n log n+n/ε 2 ); and displaying the winning bids.

20160041958

14501938

1. A computer-implemented method for selecting a subset of a set of comments associated with a group of documents, the method comprising: accessing, at memory locations, the set of comments and a predetermined annotation probability distribution of annotations for another set of comments associated with another group of documents, wherein the annotation probability distribution specifies biases in the annotations for the other set of comments; and using a computer processor that is coupled to the memory location and programmed to select the subset: selecting the subset based on how informative expected annotations for the comments in the subset are for a classifier and probabilities of occurrence of the expected annotations based on the predetermined annotation probability distribution, wherein the classifier predicts how likely the expected annotations are accurate for the comments in the subset.

9003344

13908769

1. A method for improving physical synthesis of a circuit design, the method comprising: performing an analysis for determining pattern-based scaling factors, wherein the performing of the analysis comprises: combining attribute ranges of different physical attributes of nets to form net patterns, the nets including circuit elements and interconnections; and for each of the net patterns, computing a scaling factor to be included in net routing constraints, wherein the scaling factor is computed based on a relationship between a predicted route property and a post-route property, wherein the scaling factor is applied to a set of nets matching the net pattern during a next phase of placement-based optimizations; analyzing, by a computer system, preliminary routing information of a plurality of nets in the circuit design; identifying critical nets based on statistical distribution of the preliminary routing information of the plurality of nets; assigning the identified critical nets to a set of routing layers; and removing the identified critical nets from the analysis for determining the pattern-based scaling factors; and adjusting the pattern-based scaling factors to provide a snapshot of a current state of a layout of the circuit.

8150139

11917191

1. A method for recognizing a coin which is inserted in a coin-acceptor unit by using the embossed image thereof which has characteristic features, said embossed image being recorded by a camera device, the method comprising: spreading of the features, which prescribe a pattern arrangement, in the image of the coin such that the features are physically enlarged in the image, scaling down the features by scaling down the image and transforming the same with a polar transformation, comparing the transformed image with a plurality of prescribed reference patterns, according to a first simplified criterion, with a rapid processing time and producing a list of reference patterns, sorted according to their similarity to the transformed image, comparing the transformed image with the reference patterns contained in the list corresponding to the sorting thereof according to a second, exact criterion and emitting a recognition signal if one of the reference patterns corresponds to the transformed image, stopping the comparison process and rejecting the coin according to a prescribed condition.

7725891

11261816

1. A method to effect changes in a software system landscape with a plurality of logical software systems that are interconnected by logical transport paths, comprising: providing one of a plurality of system roles for each logical system; providing system role types, each system role of the plurality of system roles being associated with one of the system role types, low level operational tasks being assigned to the system role types, the system role types comprising source systems, follow-on systems, and target systems, the follow-on systems comprising at least one of a training system, a testing system, and or a quality assurance system; providing a transport track comprising at least one transport path, the transport track defining a route through logical systems subsequently and that specifies one source system, at least one of the follow-on systems, and at least one target system; generating transport requests for transporting software changes; providing high level operational tasks in the software development system that define software changes; automatically generating a separate and distinct low level operational required task list in the software development system for each of the separate computer systems affected by the software changes by: analyzing the at least one transport track to establish which systems are affected by each high level operational task, analyzing the system role types of the affected systems, and selecting low level operational tasks associated with the system role types according to the high level operational tasks; and executing the low level operational tasks in the respective list by the respective system for routing the transport requests through the system landscape and for effecting the software changes.

4829010

07025501

1. An immunoassay device comprising: a. a support having substantially planar, unrestricted surface, b. an array of small, closely-spaced, discrete, antibody-coated areas on the support surface; c. a cover spaced from the support surface and positioned over an array of antibody-coated areas; the cover being secured to the support surface to provide a single, unrestricted, enclosed chamber, the cover having at least one aperture communicating with the interior of the single chamber and with ambient atmosphere for introducing a liquid sample into the chamber to flow across the planar surface without impediment and into engagement with all of said coated areas regardless of the location of the aperture relative to the planar surface, and at least one additional aperture in the cover also communicating with the interior of the chamber and ambient atmosphere to allow air to escape from the chamber upon introduction of the sample into the chamber.

9661470

14875065

1. A method comprising: receiving, at a computing system from at least one depth sensor positioned at at least one fixed position in an environment, at least one set of point cloud data representative of the environment; detecting, at the computing system using the at least one set of point cloud data, point cloud data corresponding to a cluster of one or more potential actors at a location in the environment; receiving, at the computing system, location information from a device; based on the location information from the device, determining that a current location of the device is proximate to the location of the cluster of one or more potential actors; receiving, at the computing system from the device, movement information indicative of movement of the device; based on the movement information, determining, at the computing system, a portion of the point cloud data indicative of movement that matches the movement of the device; identifying, using the determined portion of the point cloud data, a particular actor of the cluster of one or more potential actors that corresponds to the device, wherein the device is physically coupled to the particular actor; and providing an output signal indicating the portion of the point cloud data representative of the identified particular actor.

20100153471

12335197

1. A method to be executed at least in part in a computing device for managing ad hoc relationships between entities, the method comprising: determining at least two entities to be associated; determining a relationship associating the at least two entities; determining at least one attribute of the at least two entities that is based on a context of the relationship; determining at least one attribute of the relationship; and generating a relationship record that defines the associated entities, their relationship, the at least one attribute of the entities based on the context of the relationship, and the at least one attribute of the relationship.

10158641

15589296

1. A computer-implemented method for real-time evaluation of a reverse query to an attribute-based access control (ABAC) policy (P) comprising functional expressions dependent on attributes, wherein the ABAC policy is evaluable for an access request if the access request assigns a value to at least one of said attributes, wherein an access decision resulting from said evaluation is enforceable to control access to one or more resources in a computer network, said method performed by a processing device and comprising the steps of: i) receiving by the processing device a reverse query indicating a given access decision (d), which is one of permit access and deny access, and further indicating a subset (R) of two or more access requests to the ABAC policy, wherein the subset (R) is defined by constraints over the set of possible access requests; ii) constructing by the processing device a partial request (r partial ) from the subset (R) of access requests; iii) reducing by the processing device the ABAC policy in accordance with the partial request; iv) caching by the processing device the ABAC policy after said reducing, as a simplified policy (P′) comprising at least one functional expression dependent on an attribute; v) translating by the processing device the cached simplified policy (P′) and the given decision (d) into a satisfiable logic proposition in Boolean variables (v i , i=1, 2,. .. ), including replacing, by a Boolean variable, any Boolean expression in the policy representing a comparison of an attribute and a fixed value; vi) deriving by the processing device all variable assignments (c j =[v 1 =x j1 , v 2 =x j2 ,. .. ], j=1, 2,. .. ) satisfying the logic proposition; vii) processing by the processing device the variable assignments satisfying the logic proposition on the basis of a correlation between each Boolean variable and the comparison which it replaces; and viii) determining by the processing device, from each variable assignment processed in step vii, a set of potential access requests for which the ABAC policy would evaluate to the given decision (d) and where each request belongs to subset R.

9986236

14084252

1. A method for encoding video data, the method comprising: partitioning a block of video data into a first partition and a second partition, the first partition and the second partition being divided by a border that is a smooth line having a sinusoidal shape with at least one inflection; determining a first motion vector for the first partition and a second motion vector for the second partition; repartitioning the block into an updated first partition based on the first motion vector and an updated second partition based on the second motion vector; determining a first set of predictor values based on the first motion vector and a second set of predictor values based on the second motion vector; combining the first set of predictor values and the second set of predictor values into an overall set of predictor values based on a weighting algorithm associated with the updated first partition and the updated second partition; transforming the first motion vector and the second motion vector and the overall set of predictor values, the first motion vector and the second motion vector being motion vectors for the block of video data; quantizing the transformed motion vectors and the transformed overall set of predictor values; and entropy encoding the quantized motion vectors and the quantized overall set of predictor values.

9645573

14553403

1. A method for determining reliability test strategy, the method comprising: receiving, by one or more computer processors, a volume forecast for manufacturing one or more products; receiving, by the one or more computer processors, information describing the one or more products; retrieving, by the one or more computer processors, reliability test requirements associated with the one or more products; retrieving, by the one or more computer processors, reliability test capability of one or more reliability test vendors; and determining, by the one or more computer processors, based, at least in part, on the volume forecast, the information describing the one or more products, the reliability test requirements, and the reliability test capability of the one or more reliability test vendors, a reliability test strategy.

5511004

08182153

1. A diagnostic method for determining deviations of an evolutionary process, comprising the steps of: measuring a plurality of physical parameters characteristic of the evolutionary process; calculating from the measured plurality of physical parameters a current state of the evolutionary process and a corresponding reference state of the evolutionary process; first comparing the current state and the reference state physical parameter by physical parameter to generate relative differences between the current state and reference state for each parameter; categorizing each parameter into one of a plurality of categories indicating a relevance of each parameter to a respective deviation in the evolutionary process; determining for each respective deviation the relative difference between the current state and the reference state parameter by parameter which generate the respective deviation; and diagnosing each respective deviation based on the category of each parameter and the parameter by parameter determined relative differences between the current state and the reference state which generate the respective deviation.

7734471

11170999

1. An online learning dialog system comprising: one or more processing units; memory communicatively coupled to the one or more processing units, the memory having stored instructions that, when executed by the one or more processing units, configure the online learning dialog system to implement: a speech model that receives a speech input and provides speech events; a decision engine model that receives the speech events from the speech model and selects an action based, at least in part, upon a probability distribution, the probability distribution being associated with uncertainty regarding a plurality of parameters of the decision engine model applied to the speech input, wherein the probability distribution is: defined by an influence diagram that is configured to maximize long term expected utility and apply the Thompson strategy; and expressed as: p ⁡ ( U , V ⁢ | ⁢ D , Θ ) = ∏ X ∈ U ⋃ V ⁢ p ⁡ ( X ⁢ | ⁢ Pa ⁡ ( X ) , Θ X ) where U denotes chance variables, D denotes decision variables, and V denotes value variables; where Pa(X) denotes a set of parents for node X; and where Θ X denotes a subset of parameters related to the applied speech input in Θ that define local distribution of X; and, a learning component that in an online manner modifies at least one of the parameters of the decision engine model based upon feedback associated with the selected action, wherein the feedback comprises a lack of verbal input from a user of the system or an environment within a predefined period of time.

20140236395

14134308

1. A device for making centrally available, navigation parameter values of a vehicle, comprising components distributed in the following categories: a plurality of sensors that collect measurement data relating to at least one navigation parameter of the vehicle; a plurality of computers that process the measurement data collected by the plurality of sensors and calculate said navigation parameter values of the vehicle; a plurality of networks that link the sensors to the plurality of computers and link the plurality of computers to a plurality of user systems using said navigation parameter values; wherein: the plurality of networks transmit all the collected measurement data to the plurality of computers, and the plurality of computers calculate and make available, for use by the plurality of user systems, the value for each of the navigation parameter values as well as an estimated value of the fault associated with said navigation parameter values, using the transmitted measurement data and a single fusion algorithm contained in each of said plurality of computers.

8930339

13342354

1. In a computing environment, a method performed at least in part on at least one processor, comprising, applying a task-based assessment metric to a search engine implementation, including, examining user activities associated with the search engine implementation, classifying atomic events into tasks by measuring similarity between at least some of the user activities, and evaluating each task in accordance with the task-based assessment metric to determine indicia of search engine implementation performance comprising a task success rate for the search engine implementation, including applying the task-based assessment metric to the tasks to produce a statistical distribution and comparing the statistical distribution corresponding to the search engine implementation with a distribution corresponding to another search engine implementation to generate a comparison result.

20100082613

12235355

1. An improved method for ranking documents using a ranking model, the method comprising: obtaining a data set, wherein the data set includes a plurality of documents and document metadata, wherein the document metadata describes relationships between the documents; maximizing a likelihood figure by employing a gradient ascent that utilizes the document metadata and the relationship descriptions to determine the likelihood figure; modifying parameters of the ranking model, wherein the parameters are modified by the use of the likelihood; and ranking the documents by the use of the modified parameters, wherein the ranking of the documents is consistent with the document metadata.

20030172095

10095184

1. A method for solving a problem through an interval solution process, comprising: receiving a representation of the problem, wherein the problem includes a number of variables x 1, x 2, x 3,... x n and at least one interval parameter p; storing the representation in a computer memory; and performing the interval solution process on the problem; wherein the interval solution process involves, splitting the problem into sub-problems by splitting the interval parameter p into subintervals, and creating a separate sub-problem for each subinterval, and performing the interval solution process on the sub-problems.

4839194

06751960

1. A method of fixation of a tissue specimen comprising placing a tissue specimen in a liquid fixation medium at a temperature below about 10.degree. C., said liquid fixation medium being present in an amount sufficient to provide a heat sink to allow the non-thermal effects of microwave radiation to act on said tissue specimen, and exposing said specimen in said fixation medium to microwave radiation for a time sufficient to fix said tissue specimen while controlling the temperature of said medium so as not to exceed about 40.degree. C.

8065310

12146430

1. In a computing environment, a method comprising: extracting, by a computer, topics from a web page of a set of web pages that correspond to a query, wherein the topics are noun phrases that represent subjects of the web page; and computing, by the computer, a relevance score for each extracted topic, wherein each relevance score is based on a predicted match level from a group of match levels comprising a first match level that indicates an exact match between the each extracted topic and the query, a second match level that indicates a same meaning between the each extracted topic and the query, a third match level that indicates that the each extracted topic is relevant to the query, a fourth match level that indicates that the each extracted topic is irrelevant to the query, and a fifth match level that indicates that the each extracted topic does not match the query, and wherein the predicted match level is based on a conditional probability model P(L|Q→T) where L denotes a level, and where Q→T denotes an event that comprises generating topic T from query Q.

20030186720

10389984

1. An information processing device, comprising: acquiring means for acquiring measurement results measured by sensors; transmitting means for transmitting, at predetermined intervals, the measurement results thus acquired by the acquiring means; and judging means which, when a predetermined interval has elapsed after a first measurement result is transmitted by the transmitting means and at the time of the transmission of a second measurement result which is acquired by the acquiring means at this time, calculate the variation amount between the first measurement result and the second measurement result and judge whether or not the value of the calculated variation amount is equal to or more than a predetermined value, wherein the second measurement result is transmitted by the transmitting means when the value of the variation amount is judged by the judging means to be equal to or more than the predetermined value, and the second measurement result is not transmitted when it is judged that the value of the variation amount is not equal to or more than the predetermined value.

9720958

14523244

1. A method of aggregating business data, the method comprising the steps of: a computer receiving, from a user, columns, attributes of the columns, and keys of a dataset of a database, the keys being unique identifiers of records in the dataset, and the dataset not being initially cross-linked to any dataset included in a central hub of a plurality of datasets, each dataset including data that is independently and locally maintained; based on the received columns, attributes, and keys of the dataset, the computer registering the dataset so that the dataset is included in the central hub; the computer loading initial data or updated data into the dataset in the central hub; the computer determining and displaying other datasets included in the central hub that include columns, attributes, or keys that match the received columns, attributes, or keys, respectively; the computer receiving from the user a selection of one or more of the displayed datasets; in response to the step of receiving the selection, the computer automatically generating cross-links between the dataset and each of the one or more datasets selected from the displayed datasets, the cross-links based at least in part on the columns, attributes, or keys of the displayed datasets that match the received columns, attributes or keys, and the cross-links providing an aggregation of business data in the dataset and the one or more datasets; the computer displaying the plurality of datasets which are preconfigured and included in the central hub and in response, receiving from the user or another user a selection of the dataset from the displayed plurality of datasets; the computer receiving from the user or the other user a modification of the records in the dataset, the modification of the records including at least one of (1) an addition of a record to the dataset, (2) a deletion of a record from the dataset, and (3) a change of a value of an attribute included in a record in the dataset; based on the modification of the records, the computer generating an alternate version of the dataset that includes the modification of the records; the computer storing the alternate version of the dataset in association with the dataset; based on the alternate version being stored in association with the dataset and in response to an interaction with the central hub by a second user, the computer initiating a sharing of the alternate version with the second user by displaying the dataset and the alternate version of the dataset as a potential selection by the second user, the second user being different from the user; the computer receiving from the second user a selection of the displayed dataset or the displayed alternate version of the dataset; and based on the selection received from the second user, the computer performing an analysis of data in the dataset or the alternate version of the dataset.

20150339577

14334938

1. A computer device for generating a classifier for performing a query to a given knowledge base, the given knowledge base including a plurality of predicates, a plurality of subjects and a plurality objects related to each other, the computer device comprising: a processor configured to: select one predicate from the plurality of predicates; generate, based on the given knowledge base, a plurality of triples, each triple of the plurality of triples including the one selected predicate, and a subject of the plurality of subjects and an object of the plurality of objects related to the one selected predicate; generate a list of properties, each property of the list of properties being correlated to the subject and the object of the triple of the plurality of triples, the generation of the list of properties comprising performance of a context-based query within the given knowledge base; and generate a classifier having the list of properties related to the one selected predicate.

9107132

13869532

1. A method comprising: collecting data comprising one or more past trajectories associated with a user mobile device and signal strength information pertaining to multiple mobile network base stations; determining a future trajectory for the user mobile device comprising one or more hand-offs to one or more of the multiple mobile network base stations based on the collected data, wherein said determining comprises assigning a cost for replacing a first mobile network base station with a second mobile network base station in the future trajectory, wherein said cost represents a cumulative loss in received signal strength indicator multiplied by a time product if the first mobile network base station is removed; and executing the one or more hand-offs according to the determined future trajectory.

20100082752

12241731

1. A method, comprising: generating one or more graphs using data obtained from a query log, the one or more graphs including at least one of an anticlick graph or a view graph; ascertaining values of one or more syntactic features of the one or more graphs; determining values of one or more semantic features of the one or more graphs by propagating categories from a web directory among nodes in each of the one or more graphs; and detecting spam hosts based upon the values of the syntactic features and the semantic features.

20110153507

12624913

1. A computer-implemented method by a consolidated virtualization workbench for determining, from a system comprising a plurality of data center resources, at least one configuration of data center resources for an implementation of an application, comprising: receiving application information; receiving information regarding known internal features of the data center resources; provisioning the system of data center resources; creating possible configurations of data center resources for implementing the application; correlating models and the data center resources to create an interrelated representation of the models and the data center resources, wherein: the models are configured to predict a relationship of parameters for the possible configurations; creating a multiple dimensional analysis of parameters for the possible configurations of data center resources using the interrelated representation; and selecting a configuration of data center resources from the possible configurations using the multiple dimensional analysis of parameters.

20120117552

12942543

1. A method comprising: identifying one or more optimization speculations with respect to a first code region when compiling code; and speculatively performing transformation, in accordance with a first optimization speculation, on an intermediate representation of the first code region.

20040044971

10227859

1. A method of identifying preferred semiconductor technology design candidates from a population of semiconductor technology designs, the method comprising: (a) determining a smooth operator for effecting incremental structural change to a semiconductor technology design when the smooth operator is applied to the semiconductor technology design; (b) applying the smooth operator to at least one semiconductor technology design in the population to determine an updated population; (c) evaluating the semiconductor technology designs in the updated population to identify at least one preferred semiconductor technology design candidate; and (d) determining whether the at least one preferred semiconductor technology design candidate satisfies a stopping condition.

20150317195

14265980

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

20090248628

12057559

1. A method for analyzing keyword data for quality management purposes, the method comprising the steps of: selecting one or more keywords, wherein each of the one or more keywords represent a category of quality management; preparing a keyword time series for each of the one or more selected keywords; preparing a set of fixed form time series for each of the one or more selected keywords, wherein the set of fixed form time series comprises one or more fixed form time series representing statistical data related to the one or more selected keywords; obtaining one or more correction sets comprising one or more correction parameters, wherein each of the one or more correction parameters correspond to one of the one or more fixed form time series within each set of fixed form time series; generating a set of corrected time series for each of the one or more correction sets, wherein the set of corrected time series comprises a combination of the keyword time series and the set of fixed form time series for each of the one or more selected keywords, the combination being in accordance with the one or more correction sets; calculating a similarity score for each set of corrected time series; and selecting the set of corrected time series with the highest similarity score, wherein the selected set of corrected time series comprises optimized keyword data for quality management purposes.

8498948

12846909

1. A method of evaluating production data classified from a data source comprising steps of constructing provisional truth data by classifying data from the data source independently of the production data with an automatic recognition system, constructing master truth data by equating the production data to the provisional truth data and resolving discrepancies with reference to the data source, the step of constructing the master truth data including: incorporating into the master truth data contents from corresponding data fields in the production data and the provisional truth data that match, presenting an image of the source data together with contents from corresponding data fields in the production data and the provisional truth data that do not match each other to a first analyst for visual comparison of the source data to the contents of each of the corresponding data fields in the production data and the provisional truth data, the first analyst performing either: (i) selecting between the contents of the corresponding data fields in the production data and the provisional truth data as a match to the imaged source data based on the visual comparison for appending the selected contents to the master truth data, or (ii) assigning a first interpretation of the image of the source data, presenting the image of the source data together with contents from corresponding data fields in the production data and the provisional truth data that do not match each other or the selection of the first analyst to a second analyst for visual comparison of the source data to the contents of each of the corresponding data fields in the production data and the provisional truth data, the second analyst performing either: (i) selecting between the contents of the corresponding data fields in the production data and the provisional truth data as a match to the imaged source data based on the visual comparison for appending the selected contents to the master truth data, or (ii) assigning a second interpretation of the image of the source data, comparing the first and second interpretations of the image of the source data for adding matching interpretations of the image of the source data to the master truth data, and scoring the production data by comparing the production data to the master truth data.

20080319928

12214113

1. A method of calculating a global optimal solution of design variables which minimize or maximize a combination of a plurality of objective variables for a plurality of combinations of a plurality of operating states included in an operating area of an engine using a computer, comprising: a step of obtaining local optimal solutions of the design variables which minimize or maximize a combination of the plurality of objective variables which are calculated for each of the plurality of combinations of the plurality of operating states; a step of obtaining initial values of a combination of the plurality of design variables used for calculating the global optimal solution; and a step of calculating the global optimal solution by solving, using a genetic algorithm based on the local optimal solutions and the initial values, an equation, which should be satisfied by the plurality of design variables.

20030095697

10261183

1. A method for rendering anatomical information of a body from tomographic data comprising the steps of: receiving said tomographic data obtained from a digital imaging apparatus wherein said tomographic data is displayable in a first portion of a display as one or more two-dimensional tomographic sections of a sequence of two-dimensional tomographic sections; determining a third dimension from the sequence of two-dimensional tomographic sections to create a first volumetric view wherein said first volumetric view is displayable in a second portion of the display; determining a second volumetric view of a selected feature shown in the first or second portion wherein said second volumetric view is displayable in a third portion of the display; and rendering one or more of said first, second or third portions of the display.

20110150253

12975434

1. A method for the automatic, recursive adjustment of a hearing device worn by a person, wherein a hearing task is set for the person and an associated listening effort is detected, the method which comprises: a) supplying at least one acoustic stimulus to the person; b) detecting the neuronal activity of the brain of the person in response to the acoustic stimulus; c) determining a measure of listening effort from the detected neuronal activity; d) changing at least one hearing device parameter as a function of the measure of listening effort determined in step c); and e) repeating steps a) to d) monitored by a computation and control unit until the measure of listening effort drops below a predefinable first threshold value or is minimized in terms of a defined termination condition that can be predefined in the computation and control unit.

8355544

13191447

1. A method for automatic analysis of a retinal image implemented in a medical system with one or more processors, said method comprising: (a) automatically locating an optical disk on said retinal image and establishing a plurality of circumferences; (b) automatically detecting a plurality of vessels within a region defined by said circumferences' radii using a crease-based algorithm; (c) automatically extracting a plurality of vessel segments based on a deformable models algorithm; and (d) automatically classifying said plurality of vessel segments comprising applying a multi-scale retinex enhancement procedure to said retinal image and obtaining a plurality of intensity values corresponding to color components of said vessel segments.

20100179855

12351749

1. A method for large-scale behavioral targeting, the method comprising: receiving training data that is processed raw data of user behavior; generating selected features by performing feature selection on the training data; generating feature vectors from the selected features; initializing weights of a behavioral targeting model by scanning the feature vectors once; and updating the weights of the behavioral targeting model by scanning iteratively the feature vectors using a multiplicative recurrence.

8024305

12146782

1. A method on an information processing system for modifying at least one data warehouse schema based on detected changes in an associated observation model, the method comprising: determining if at least one new observation model has been created; determining if at least one existing observation model is associated with the new observation model; in response to the existing observation model being associated with the new observation model, identifying at least one changed attribute by comparing the new observation model and the existing observation model, wherein the at least one changed attribute is at least one or more of measure metrics of a monitoring context, dimension metrics of a monitoring context, and monitoring contexts, wherein the identifying further comprises identifying that one or more existing dimension metrics associated with the existing monitoring context have been removed from the substantially similar monitoring context associated with the new observation model, wherein a monitoring context generates at least one of a set of measure metrics and a set of dimension metrics for a given observation model; and updating a set of files associated with the existing observation model to reflect the changed attribute between the new observation model and the existing observation model, wherein the updating further comprises updating at least one existing fact table associated with the existing monitoring context so that at least one pointer entry is marked as inactive, the pointer entry being associated with the existing dimension metric that has been removed from the substantially similar monitoring context associated with the new observation model.

20140046493

13914270

1. A static security constrained automatic voltage control method, comprising: performing a single automatic voltage control calculation for a control snapshot of a power system at a beginning of a control cycle in each control cycle according to a requirement of a power grid operation for an automatic voltage control when on-line conducting at a power grid control center, wherein the single automatic voltage control calculation comprises steps of: (1′) obtaining a single-time severe contingency sequencing table and a periodical severe contingency sequencing table from a historical severe contingency information database, and selecting severe contingencies from a contingency set C All according to the single-time severe contingency sequencing table and the periodical severe contingency sequencing table to compose an active contingency set C Active of the single automatic voltage control calculation; (2′) solving a trial solution of an optimal power flow model, using the trial solution of the optimal power flow model as a base state of the power system, and performing an iteration between a first result of the contingency assessment for the active contingency set C Active and the trial solution of the optimal power flow model to solve and obtain a single automatic voltage instruction; and (3′) performing a contingency assessment for the contingency set C All using the trial solution of the optimal power flow model as the base state of the power system to obtain a second result of the contingency assessment, and updating the single-time severe contingency sequencing table and the periodical severe contingency sequencing table according to the second result of the contingency assessment, in which the updated severe contingency sequencing table is to be used in a next single automatic voltage control calculation.

8756019

13129832

1. A method for estimation of Steam Assisted Gravity Drainage (SAGD) process characteristics, comprising: measuring temperature along an injection well drilled in a reservoir by downhole sensors, measuring a steam quality and an injection rate at an inlet of the injection well, estimating a pressure distribution profile along the injection well using the measured temperature, steam quality and injection rate, estimating a steam injection profile using the obtained pressure distribution profile and the measured injection rate combined with a one-dimensional injection well model for pressure losses in the well and heat exchange between an injection well tubing and an annulus, using the obtained steam injection profile as an input parameter for a set of two-dimensional cross-sectional analytical SAGD models, the models are based on energy conservation law taking into account reservoir and overburden formation properties, heat losses into the reservoir and overburden formation impact on production parameters, SAGD characteristics, and estimating the SAGD process characteristics from the set of two-dimensional cross-sectional analytical SAGD models by a computer.

7870059

11783252

1. A computer system comprising one or more processors programmed to: (a) transmit data sufficient to describe a graphical user interface to be displayed to a user, said graphical user interface comprising one or more icons, each of said one or more icons representing a trading algorithm; (b) receive from said user data describing order execution parameters for an order for trading a security, and data indicating selection of a trading strategy associated with one of said one or more icons; and (c) transmit data sufficient to enable said graphical user interface to display to said user a circular dial display comprising information regarding execution of said order via said selected trading strategy, relative to a selected benchmark.

20160180951

14977143

1. A method for memory cell analysis in a memory device comprising: periodically determining a cell voltage distribution of cells in the memory device during run time; measuring changes in the cell voltage distribution from the periodic determinations; calculating a wear of the cells based on a shape change from the measured changes in the cell voltage distribution; and calculating a data retention value of the cell based on a location change in the cell voltage distribution.

20060290656

11168279

1. A method of processing information comprising: receiving input from two or more different input sources; and combining the input from the two or more different sources to provide a result.

8831149

12553855

1. A symbol estimation method implemented at a receiver, comprising: calculating, based on an estimate of a communication channel and an initial estimate of a set of received symbols, a refined estimate of the set of received symbols, by performing, for each symbol in the set of received symbols, refinement operations comprising: parameterizing, for the symbol, a contribution to intersymbol interference (ISI) by the remaining symbols in the set of received symbols; selecting a refined estimated value for the symbol by evaluating an optimization function using the estimate of the communication channel and one or more symbol values from the initial estimate of the set of received symbols; and computing a log-likelihood value for the selected refined estimated value for the symbol based on, at least in part, the contribution of ISI by the remaining symbols in the set of received symbols and the estimate of the communication channel; wherein the set of receive symbols comprise two possible values and wherein, in the refinement operation of selecting the refined estimate value, the evaluating the optimization function comprises evaluating a hyperbolic tan function.

20100262469

12823084

1. A method, comprising: receiving input indicating a vehicle position; identifying a location in proximity to the vehicle position; evaluating the location based, at least in part, on past driving habits; and presenting information related to the location on a vehicle windshield.

8452754

12463336

1. A computer-implemented method of database analysis, the method comprising: during code compilation of a database application via a computing device, performing extraction from the code via the computing device, the extraction comprising: extracting a set of SQL statements, extracting properties of the SQL statements, and extracting parameters used in SQL queries; analyzing the extracted SQL statements, properties, and parameters to identify data flow; based at least in part on the data flow, building verticals to perform at least one of: data integrity checking or SQL performance analysis; based at least in part on the verticals, rewriting at least one of the SQL statements, parameters, or properties to optimize at least one of data integrity or security.

7567909

09269618

1. A method for transferring a value representing a commodity in an electronic transaction comprising: providing a buyer value note, the buyer value note including a buyer public key, the value, and a first bank signature; appending the buyer value note with a seller public key; endorsing the buyer value note with a buyer endorsement signature such that the buyer endorsement signature is verified with the buyer public key; creating a seller value note, the seller value note including a seller public key and the value; disassociating the buyer public key and the buyer endorsement signature from the seller value note; deleting the buyer public key and the buyer endorsement signature such that the seller value note is anonymous with respect to the buyer value note; and endorsing the seller value note with a second bank signature whereby the value is transferred to the seller.

8620716

10538225

1. A computer system for managing data, the system comprising: a memory storing historical data comprising continuously updated values for each of a plurality of metrics at a plurality of points in time; and at least one computer configured to: from one or more external sources, receive a continuous stream of event data for at least one of the metrics, wherein the event data is transmitted to and received by the at least one computer independent of a request from the computer, in response to each received event data, calculate with the computer an actual value for at least one metric based at least in part on the event data, wherein the actual value is calculated based on a first sliding time window, and represents a current state of the at least one metric, in response to each received event data, automatically calculate with the computer a computed value for the at least one metric, wherein the computed value is calculated based on a second sliding time window, and represents an expected state of the at least one metric at a time corresponding to a time associated with the actual value, compare the computed value with the actual value, and determine whether to generate an alert or action based on the comparison of the computed value and the actual value, wherein the computed value is calculated in response to each received event data, and the computed value is calculated based at least in part on the second sliding time window being defined relative to and inclusive of a time the received event data prompting the automatic calculation was received and further defined by one or more of: a time of a most recently received event data of the continuous stream of event data, a last hour of the continuous stream of event data, a last number of hours, x, of the continuous stream of event data, where the number of hours, x, has been stored in the computer system, another metric that has been stored in the system, a stored last number of a particular day of the week, thereby including data only from those particular days of each week on which the continuous stream of event data was received, a stored last number of a particular day of the month, thereby including data only from those particular days of each month on which the continuous stream of event data was received, and a stored last number of a particular day of the year, thereby including data only from those particular days of each year on which the continuous stream of event data was received.