Abstract: A computer-implemented method and a computing system for editing a claim includes receiving, via a processor, a real-time web service call comprising a claim. The claim is relative to health care. A plurality of rules are applied to the claim in response to receiving the claim. A recommendation is generated in response to applying the plurality of rules to the claim. The recommendation is a result of applying the plurality of rules to the claim. The recommendation is sent as a web service response. The recommendation is stored on a memory system in response to generating the recommendation.

Abstract: Systems and methods for generating an interference prediction for a target well are disclosed herein. A computing system generates a plurality of interference metrics for a plurality of interference events. For each well, the computing system generates a graph based representation of the well and its neighboring wells. The computing system generates a predictive model using a graph-based model by generating a training data set and learning, by the graph-based model, an interference value for each interference event based on the training data set. The computing system receives, from a client device, a request to generate an interference prediction for a target well. The computing system generates, via the predictive model, an interference metric based on the one or more metrics associated with the target well.

Abstract: In one embodiment, techniques are provided for modeling infrastructure from a plurality of modeling perspectives using an intelligent model hierarchy. A repository model for the infrastructure is generated that serves as a root of the intelligent model hierarchy. The repository model includes a root subject and one or more child subjects. One or more information partitions are generated for each subject, each information partition being associated with a respective modeling perspective. One or more child models are associated with each information partition. The one or more child models each containing one or more infrastructure elements that express the modeling perspective of the information partition with which the child model is associated. The repository model and the one or more child models are maintained together in a repository, and infrastructure elements of a selected model may be displayed on demand in a user interface of a client.

Abstract: Disclosed is a method and system for modifying data cleansing techniques for training and validating an Artificial Neural Network (ANN) model. The method comprises normalizing and validating data of different formats, obtained from different sources. The ANN model is trained using the normalized and validated data. Alternatively, the ANN model could be trained using data of a common format obtained from a deterministic data model. The trained ANN model is used to generate ANN stochastic data. Data validation component from the deterministic data model is reused for the normalizing and the validating of the data, for validating the ANN stochastic data.

Abstract: At least service task data and application utilization data are collected. The collected data is analyzed to determine a utilization pattern. Based on the determined utilization pattern, a computer automation opportunity is automatically identified. An automatically generated recommendation of an automation solution among a plurality of automation solution candidates is provided for the identified computer automation opportunity.

Abstract: The present disclosure discloses method and system for extracting relevant entities from a text corpus. The method comprises receiving, by the entity extraction computing device, a text corpus and an entity, determining at least one feature for each block of text from the text corpus, where the at least one feature corresponds to predefined one or more feature heads, calculating a score for each block of text from the text corpus based on training of the entity extraction system, determining a template from one or more templates based on the score, where the one or more templates are generated based on the training of the entity extraction system, and extracting at least one relevant entity from the text corpus, with respect to the entity, based on the template. The method and system disclosed in the present disclosure may be used to extract relevant entities across various domains by training the system.

Abstract: An application server provides an application to client devices. Users of the client devices interact with the application to perform a business process. Data regarding user interactions with the application is transmitted from the client devices to the application server. Based on an analysis of the received data, a bot generation server generates a bot to automate a process step. The bot generation server provides a heatmap user interface (UI) that provides information regarding the process steps. Using the heatmap UI, the administrator selects a process step for automation. In response to the selection, the bot generation server identifies, based on the observed behavior, relationships between input fields, typical values for input fields, typical order of data entry into input fields, or any suitable combination thereof. Based on the identified patterns, the bot generation server generates a bot to automate some or all of the process step.

Abstract: Disclosed are various embodiments for facilitating a location-based community. A location of a client device is identified, as are point of interest in proximity to the location. Questions pertaining to a point of interest can be presented on the client device. A newly submitted question can be routed to other users who may be in the same or similar location or have an expertise in a particular subject matter area related to the question.

Abstract: A method to generate a topic label for a set of electronic documents may include crawling, by a processor, the set of electronic documents. The method may include extracting knowledge points from the set of electronic documents. The method may also include selecting a candidate set of knowledge points from the plurality of knowledge points based on occurrence values. The method may include calculating relatedness scores between each knowledge point in the candidate set of knowledge points. The method may also include calculating hierarchical relationships between each knowledge point in the candidate set. The method may further include calculating comprehensive scores for each knowledge point in the candidate set based on the relatedness scores and the hierarchical relationships. The method may include selecting, from the set of knowledge points, a first candidate knowledge point with the highest comprehensive score as a topic label for the set of electronic documents.

Abstract: Techniques for search with autosuggest and refinements are disclosed. In some embodiments, search with autosuggest includes determining a plurality of potential query suggestions for a partially entered query string; and automatically suggesting a plurality of queries based on a query count for each of the queries. For example, the query count can correspond to a popularity of the query. In some implementations, the query count can be determined based on a number of times that the query was received, and the plurality of queries can be listed based on the popularity of each of the plurality of queries (e.g., to facilitate display of more popular queries higher in the list of suggested queries).

Abstract: Methods and a system are provided that is performed by a computer server for inferring location context categories for a set of mobile users having at least two members. A method includes, for each mobile user in the set, obtaining at least one location context category therefor from publically available information responsive to uncertain mobile device location data. The method further includes applying multi-user collaborative machine learning to the at least one location context category for each mobile user in the set to infer a single refined location context category for each mobile user in the set.

Abstract: A system and method for network health and management. Intelligent assessments of a current or new network configuration can be performed based on a health of the network that is derived using health messages that are indicative of the utilization of one or more forwarding tables in a plurality of network switches.

Abstract: A monitoring system captures the behavior of distributed applications and also provides a framework for augmenting functionality of the application in response to user interactions and different states of the application and network. Network events exchanged between an application and an application server are captured and the local client events on the client device are also selectively captured. The different disparate network events and client events are then combined together during a replay operation to simulate the user experience during the previous application session.

Abstract: A robust computational secret sharing scheme that provides for the efficient distribution and subsequent recovery of a private data is disclosed. A cryptographic key may be randomly generated and then shared using a secret sharing algorithm to generate a collection of key shares. The private data may be encrypted using the key, resulting in a ciphertext. The ciphertext may then be broken into ciphertext fragments using an Information Dispersal Algorithm. Each key share and a corresponding ciphertext. Fragment are provided as input to a committal method of a probabilistic commitment scheme, resulting in a committal value and a decommittal value. The share for the robust computational secret sharing scheme may be obtained by combining the key share, the ciphertext fragment, the decommittal value, and the vector of committal values.

Abstract: Methods and a system are provided that is performed by a computer server for inferring location context categories for a set of mobile users having at least two members. A method includes, for each mobile user in the set, obtaining at least one location context category therefor from publically available information responsive to uncertain mobile device location data. The method further includes applying multi-user collaborative machine learning to the at least one location context category for each mobile user in the set to infer a single refined location context category for each mobile user in the set.

Abstract: A social media monitoring and text analysis method for automated classification of user posts on the web, using a facet based relevance assessment model, comprise a semantic indexing server, which builds a faceted classification index of text objects, and a query server, which receives and analyzes the user's query. A query thus processed is then sent from the query server to the semantic indexing server through an interface in order to perform a search in the faceted classification index. The search system and method further comprise a result handler, which provides the user with a search result set comprising a list of unexpected links and a list of result elements. The list of unexpected links corresponds to filters which allow the user to narrow down or refine the original query.

Abstract: An exemplary method includes a media content search system providing a media content search creation tool in a graphical user interface, detecting a user-submission of one or more user-selectable graphical objects representing one or more media programs to the media content search creation tool in the graphical user interface, and generating a set of media content search parameters based on the one or more media programs represented by the one or more user-selectable graphical objects submitted to the media content search creation tool. Corresponding systems and methods are also described.

Abstract: Clustering analysis is used to partition data into similarity groups based on mathematical relationships between the measured variables. These relationships (or prototypes) are derived from the specific correlation required between the measured variables (data) and an environmental property of interest. The data points are partitioned into the prototype-driven groups (i.e., clusters) based on error minimization. Once the data is grouped, quantitative predictions and sensitivity analysis of the property of interest can be derived based on the computed prototypes. Additionally, the process inherently minimizes prediction errors due to the rigorous error minimization during data clustering while avoiding overfitting via algorithm parameterization. The application used to demonstrate the power of the method is pressure gradient analysis.

Abstract: Techniques for search with autosuggest and refinements are disclosed. In some embodiments, search with autosuggest includes determining a plurality of potential query suggestions for a partially entered query string; and automatically suggesting a plurality of queries based on a query count for each of the queries. For example, the query count can correspond to a popularity of the query. In some implementations, the query count can be determined based on a number of times that the query was received, and the plurality of queries can be listed based on the popularity of each of the plurality of queries (e.g., to facilitate display of more popular queries higher in the list of suggested queries).

Abstract: A method, apparatus and computer program product for providing discovery and prediction of long-term high-level nearly periodical business processes from low-level logs is presented. Query activity vectors are extracted from database logs. Groups of queries having similar behavior for a set of business processes are identified by clustering of the query activity vectors. Periodic structure is discovered in the business processes and their future activity is predicted. The predictions of future activity are provided to a storage system.

Abstract: A method and system for archiving data is provided. The method includes an extraction stage, a load stage, and a production merge stage. In the extraction stage, incoming files from a source system are extracted, where each incoming file has data records. Upon determining that the incoming files are of different data record types, the incoming files are split by record type. The files are also parsed. In a load stage, all files from a load ready directory are placed together in a single batch with a common RUNID for each data record type. In a production merge stage, all files made available from the load stage are processed. The processed files are loaded into a data warehouse. Each stage operates independently of any other stage. Each stage is also iterative and circular.

Abstract: Methods and systems for scrubbing confidential insurance account information are provided. According to embodiments, a scrubbing server can receive a request to scrub confidential insurance data that includes the contents of an insurance account information database and an indication of the category of confidential data stored in the database. The scrubbing server can scrub the valid data contained in the received database, replacing confidential information with “scrambled” data that is not confidential. The scrubbing server can transmit the contents of the scrubbed database back to the requesting party.

Abstract: A system for sensor tasking includes a plurality of sensors operable to perform one or more tasks and a processor. The processor may receive a mission, wherein the mission comprises one or more tasks to be performed by one or more of the plurality of sensors. The processor may also receive one or more environmental conditions associated with the mission and generate a fuzzy cognitive map. The fuzzy cognitive map includes a plurality of nodes and weighted links, wherein one or more of the plurality of nodes are associated with one or more of the environmental conditions. The processor may be further operable to select one or more of the plurality of sensors to perform each of the one or more tasks based at least on a state of the fuzzy cognitive map and schedule each of the one or more tasks to be performed by the respective selected one or more sensors.

Abstract: A present invention relates to a novel hybrid intelligent control system and method for power generating apparatuses, in which the control system comprises: a fuzzy sliding mode speed controller, embedded with a fuzzy inference mechanism so as to be used for controlling the speed of a power generating apparatus; and a radial basis function network (RBFN) pitch controller, being embedded with an on-line training RBFN so as to be used for controlling the pitch angle of a turbine coupled to the power generating apparatus. In a variable-speed energy conversion system using the aforesaid control system, the turbine can be driven to operate at its maximum efficiency by adjusting its blade pitch angle in response to the variation of the input flowing into the turbine, while allowing the shaft speed of the power generating apparatus to be controlled by a fuzzy interference mechanism so as to achieve its maximum power output.

Abstract: Anticipatory logistics is used to predict observable events and respond to the predictions of the observable events in the control of automated equipment that perform highly repetitive functions such as elevator cars. A set of table entries is obtained, and the table entries are metricized and stored as cell entries. All cell entries are normalized. Ten weighted values to the cell entries are initialized. An algorithmically defined subset of weighted values is normalized and an instruction is selected based on the computed dependency using an algorithm incorporating uniform chance selection for exploratory optimization, such as the Mersenne Twister algorithm. Here, the search space is delimited by careful selection of the salient variables as well as by the algorithm itself, which only relies on chance to find truly novel solutions as time (and space) permit.

Abstract: A neuro-fuzzy controller is provided. The neuro-fuzzy controller includes a predictor that receives inputs and makes prediction inputs. The prediction inputs are passed to a fuzzy cluster module that includes a neural network fuzzifing said prediction inputs and passing the result to an inference engine. The output of the inference engine is defuzzified and provided as an output of the controller. The fuzzifier and defuzzifier preferably represent a neural network employing a trigonometrical series. The inference engine preferably employs rules that are determined using genetic programming.

Abstract: The present invention relates to an arrangement for network management and adapted to be provided in or associated with a network node to be managed. It comprises, or is in communication with, modeling means adapted to, using substantially non-formal descriptions, model network domain and behavior using formal ontologies comprising inference capabilities by means of an inference engine, thus providing a formal ontology model describing domain and behavior. It also comprises annotating means adapted to add semantic information to the formal domain and behavior ontology model, generating means adapted to, using said formal ontology model and said inference engine, elaborate an algorithm adapted to generate and update a probabilistic causal network graph structure representing the domain and its behavior.

Abstract: A system for detecting and locating failures that occur in a complex system includes elements (CAP, MODVAL, MODDP, MODFD) for detecting and locating a failure affecting at least one sub-system of the complex system. The system also includes an element (MODPD) for making a decision on any action to be taken in the event of such detection. A rocket engine can be monitored with this system.

Abstract: A system and method for selecting a training data set from a set of multidimensional geophysical input data samples for training a model to predict target data. The input data may be data sets produced by a pulsed neutron logging tool at multiple depth points in a cases well. Target data may be responses of an open hole logging tool. The input data is divided into clusters. Actual target data from the training well is linked to the clusters. The linked clusters are analyzed for variance, etc. and fuzzy inference is used to select a portion of each cluster to include in a training set. The reduced set is used to train a model, such as an artificial neural network. The trained model may then be used to produce synthetic open hole logs in response to inputs of cased hole log data.

Abstract: A process for the custom design and automated, custom manufacture of golf clubs. According to a first embodiment, a computer user interface, preferably a graphical user interface (GUI), guides a user's selection of preferred golf club design parameters. According to a second embodiment, input data about a golfer's style of play and golf club performance needs are captured from data collection systems, and analyzed by black box algorithms, preferably fuzzy logic algorithms, to infer golf club design parameters. After preferences for, or inferences about, golf club design parameters are developed in accordance with the two embodiments, a computer aided (CA) system is used to design and manufacture the desired golf clubs.

Abstract: A method for monitoring the sensors in a vehicle control system. The method includes identifying a plurality of potential faults, identifying a plurality of measured values, and identifying a plurality of estimated values based on models in the control system. The method further includes identifying a plurality of residual error values as the difference between the estimated values and the measured values. The method also defines a plurality of fuzzy logic membership functions for each residual error value. The fuzzy logic membership functions are adaptive in that they change depending on the vehicle operating region, i.e., the non-linearity level of the vehicle, and the vehicle operating conditions, i.e., steady state verses transients. A degree of membership value is determined for each residual error value based on the membership functions. The degree of membership values are then analyzed in a fuzzy logic reasoning system to determine whether a potential fault exists.

Abstract: A system and method for buying and selling securities based on volatility and liquidity rather than other fundamentals is demonstrated. The method involves: providing at least one decision model to buy and sell a security; inputting real-time data into the decision model; and automatically generating an order and executing transactions to buy and sell the security based in response to the decision model. The method continues in buying and selling the security based in response to decision model until the method is stopped.

Abstract: This application describes an application of resource unit brokering algorithms, chip management methods for automated brokering, chip management methods for live brokering, and chip allocation methods to the brokering of operational support characteristics of service level management within an enterprise. Typically, the operational support characteristics are derived from known capacity values that are provided by configuration managers. Calculations are made on the capacity values and maximum quantities of the availability resource units are provided to resource brokers for spot or periodic sale and auction to one or more buyer's agents.

Abstract: A method of modeling a composite emotion in a multidimensional vector space, is provided with creating an emotion vector space by defining dimensions of a vector space in consideration of stimuli affecting emotions, and dividing a defined multidimensional vector space into emotion regions. Further, the method of modeling a composite emotion in a multidimensional vector space includes creating a composite emotion by calculating a fuzzy partitioned matrix between a current state vector and respective representative vectors in the created emotion vector space.

Abstract: A system, method and computer program product for providing targeted messages to a person using telephony services by generating user profile information from telephony data and using the user profile information to retrieve targeted messages.

Abstract: One embodiment of the present invention provides a system that monitors a physical variable associated with an electronic component within a computer system. During operation, the system receives telemetry signals of the physical variable which are collected by one or more physical sensors associated with the electronic component. The system also collects electromagnetic interference (EMI) signals generated by the electronic component. Next, the system builds an inferential model for the physical variable by correlating the EMI signals with the telemetry signals. The system then uses the inferential model to infer values for the physical variable from the EMI signals.

Abstract: A method for aligning documents which may be in different XML formats includes inputting source and target leaves of a source and documents in first and second tree structured formats and assigning a cost to each of a plurality of matches. Each match may include a source leaf and a target leaf or be an unmatched source or target leaf. Matches are identified for which a total cost is minimal, wherein each of the leaves is in at least one of the identified matches. From the identified matches, groups of two or more matches are identified which have a leaf in common. From the groups, probable matches are identified in which more that one target leaf is matched with at least one source leaf or more than one source leaf is matched with a target leaf. An alignment between leaves of the target document and leaves of the source document is output which includes the probable matches.

Abstract: A multipurpose hemofiltration system and method are disclosed for the removal of fluid and/or soluble waste from the blood of a patient. The system continuously monitors the flow rates of drained fluid, blood, and infusate. When necessary, the pumping rates of the infusate, drained fluid and blood are adjusted to remove a preselected amount of fluid from the blood in a preselected time period. A supervisory controller can monitor patient parameters, such as heart rate and blood pressure, and adjust the pumping rates accordingly. The supervisory controller uses fuzzy logic to make expert decisions, based upon a set of supervisory rules, to control each pumping rate to achieve a desired flow rate and to respond to fault conditions. An adaptive controller corrects temporal variations in the flow rate based upon an adaptive law and a control law.

Abstract: The subject matter of this specification can be embodied in, among other things, a process that includes receiving digital accommodation criteria for an accommodation assignment requested for a passenger and accessing accommodation properties that specify characteristics of accommodations offered on a travel conveyance. A first portion of the accommodation properties are base properties and a second portion of the accommodation properties are derivation properties derived from the base properties during execution of a software program configured to access the accommodation properties. The process also includes assigning weights to the accommodation properties based on a comparison between the accommodation properties and the received accommodation criteria.

Abstract: A computer game depicts or represents actual or imaginary geographic locales as part of the play scenarios of the games. The computer game uses a map database that contains data that represent geographic features, such as roads, in a locale. A game engine program presents a game play scenario to a user via a user interface of the game. An application programming interface program accepts requests for data from the game engine program, accesses data from the map database, and provides the data in a suitable format to the game engine program for use in presenting the game scenario to the user.

Abstract: An instability avoidance module that can be implemented in SISO PID control loops to automatically adjust the controller's tuning parameters when undesired oscillatory behavior is monitored. This module is a Fuzzy-based Supervisor composed of a dynamic parameter identification module that operates on-line, and a Fuzzy Inference System (FIS) with fuzzy rules to modify PID tuning. Tests in nonlinear process models were performed, demonstrating that this Fuzzy Supervisor—Type 1 (non-intrusive) provides the PID controller the ability to adapt its tuning to eliminate the observed oscillatory behavior.

Abstract: Normal and abnormal diurnal cortisol secretion patterns are identified from human saliva samples by an in vitro method. First and second saliva samples are taken from one human individual at first and second predetermined times during the same day. A first cortisol concentration is determined in the first saliva sample, and a second cortisol concentration is determined in the second saliva sample. An abnormal secretion pattern is then compared to a normal secretion pattern with the help of a fuzzy logic algorithm. A function of the hypothalamic-pituitary-adrenal (HPA) axis is then determined for the human individual. Optionally, a testosterone level is determined from one of the samples and is used in combination with the cortisol concentrations to provide a redefined determination.

Abstract: Disclosed is a controller that includes a curve matching mechanism. The curve matching mechanism employs Fuzzy Logic to compare input curves to standard curves and to thereby characterize the input curves. Also disclosed in an automotive environment for the curve matching mechanism in which a Fuzzy Controller is used to receive time series data (i.e., input curves) and to present the input curves to the curve matching mechanism. The controller then uses the output of the curve matching mechanism to adjust engine function.

Abstract: A process for the custom design and automated, custom manufacture of golf clubs. According to a first embodiment, a computer user interface, preferably a graphical user interface (GUI), guides a user's selection of preferred golf club design parameters. According to a second embodiment, input data about a golfer's style of play and golf club performance needs are captured from data collection systems, and analyzed by black box algorithms, preferably fuzzy logic algorithms, to infer golf club design parameters. After preferences for, or inferences about, golf club design parameters are developed in accordance with the two embodiments, a computer aided (CA) system is used to design and manufacture the desired golf clubs.

Abstract: A workflow management system with continuous status management includes an apparatus for detecting fuzzy process definitions, an apparatus which controls activity stages in a workflow for the purpose of processing the process definitions, and a device for evaluating the process definitions for each process instance. A method is for implementing a workflow with continuous status management through fuzzy process definitions using continuous instructions and states and logic combinations or continuous mapping operations operating thereon.

Abstract: A lead response system is provided comprising a customizable lead delivery rules engine and a customizable escalation rules engine for delivering leads to appropriate responders and re-routing undeveloped leads to different responders. Each delivery rule includes two or more criteria which may be met in order for the lead to be delivered to the responder specified in the particular rule. A lead that is not accepted by the responder to whom it was delivered within a user-defined time frame is re-routed for delivery to a new responder according to a set of escalation rules. The escalation rules may include delivery instructions specifying the new responder or may re-route the lead to the delivery rules engine for delivery to a new responder according to a re-application of the delivery rules.

Abstract: There is provided a method of determining the status of chronic obstructive pulmonary disease (COPD) of a human. The method comprises (a) performing a spectral analysis of a sample collected from said human; (b) comparing the spectra produced by said analysis at (a) against a reference; and (c) determining the status of COPD in said human based upon any variations determined at (b). Also provided is an apparatus for determining COPD.

Abstract: In a system and method for processing data, a user interface enables a user to enter mapping data to enable incoming data to be converted to a common data format. A database stores the mapping data and data quality rules, and a receiver receives data from a data source. The processor applies the data quality rules to the common format data to identify any potential errors in the common format data and notifies the user of any potential errors found in the common format data. The data rules may include data structure rules and/or data trending requirements based upon data trends or norms. The data source may be an employer, insurance company or other entity. The data may include insurance claim data, medical data and/or prescription data and/or eligibility and/or occupational and non-occupational data.

Abstract: Techniques for analyzing and modeling the frequency of queries are provided by a query analysis system. A query analysis system analyzes frequencies of a query over time to determine whether the query is time-dependent or time-independent. The query analysis system forecasts the frequency of time-dependent queries based on their periodicities. The query analysis system forecasts the frequency of time-independent queries based on causal relationships with other queries. To forecast the frequency of time-independent queries, the query analysis system analyzes the frequency of a query over time to identify significant increases in the frequency, which are referred to as “query events” or “events.” The query analysis system forecasts frequencies of time-independent queries based on queries with events that tend to causally precede events of the query to be forecasted.

Abstract: Techniques for analyzing and modeling the frequency of queries are provided by a query analysis system. A query analysis system analyzes frequencies of a query over time to determine whether the query is time-dependent or time-independent. The query analysis system forecasts the frequency of time-dependent queries based on their periodicities. The query analysis system forecasts the frequency of time-independent queries based on causal relationships with other queries. To forecast the frequency of time-independent queries, the query analysis system analyzes the frequency of a query over time to identify significant increases in the frequency, which are referred to as “query events” or “events.” The query analysis system forecasts frequencies of time-independent queries based on queries with events that tend to causally precede events of the query to be forecasted.