4003results about "Electric/magnetic computing" patented technology

Method and system for diagnosing whether vehicular components are operating abnormally based on data obtained from sensors arranged on a vehicle. In a training stage, output from the sensors during normal operation of the components is obtained, each component is adjusted to induce abnormal operation thereof and output from the sensors is obtained during the induced abnormal operation. A determination is made as to which sensors provide data about abnormal operation of each component based on analysis of the output from the sensors during normal operation and during induced abnormal operation of the components. During operation of the vehicle, the output from the sensors is obtained and analyzed, e.g., by inputting it into a pattern recognition algorithm or neural network generated during the training stage, in order to output an indication of abnormal operation of any components being diagnosed.

Predictive modeling of consumer financial behavior, including determination of likely responses to particular marketing efforts, is provided by application of consumer transaction data to predictive models associated with merchant segments. The merchant segments are derived from the consumer transaction data based on co-occurrences of merchants in sequences of transactions. Merchant vectors represent specific merchants, and are aligned in a vector space as a function of the degree to which the merchants co-occur more or less frequently than expected. Consumer vectors are developed within the vector space, to represent interests of particular consumers by virtue of relative vector positions of consumer and merchant vectors. Various techniques, including clustering, supervised segmentation, and nearest-neighbor analysis, are applied separately or in combination to generate improved predictions of consumer behavior.

A method and system for coordinating transportation service is provided. A request is received for a trip generated by a client application executing on a mobile device. Which one of a set of transportation vehicles is best suited to provide the trip is determined. The one transportation vehicle to provide the trip is automatically dispatched.

A human-computer interface system and methods for providing intelligent, adaptive, multimodal interaction with users while accomplishing tasks on their behalf in some particular domain or combination of domains. Specifically, this system accepts user input via natural language text, mouse actions, human speech, whistles, gestures, pedal movements, facial or postural changes, and conveys results via natural language text, automatically-generated speech, and displays of graphs, tables, animation, video, and mechanical and chemical effectors that convey heat, tactile sensation, taste and smell.

A mental-model elicitation process and apparatus, called the Mental-Model Elicitation Device (MMED) is described. The MMED is used to give rise to more effective end-user mental-modeling activities that require executive function and working memory functionality. The method and apparatus is visual analysis based, allowing visual and other sensory representations to be given to thoughts, attitudes, and interpretations of a user about a given visualization of a mental-model, or aggregations of such visualizations and their respective blending. Other configurations of the apparatus and steps of the process may be created without departing from the spirit of the invention as disclosed.

Systems and methods are disclosed for capturing data representative of user interactions with a desktop computer, and processing the capture data to identify and analyze business processes performed by the user. The disclosed system comprises listeners that capture key actuations, mouse-clicks, screen information, and other data representative of user interaction with a desktop computer. A desktop observer is provided to accept capture data from listeners, to temporarily store the capture data if necessary, and to pass the capture data to a process intelligence server. The process intelligence server includes a process discovery module the analyzes the capture data and identifies business processes corresponding to the capture data, or models business processes. A process data master storage is provided. A process analysis module is provided to determine performance metrics, best practices, application productivity impacts, compliance, and optimization analysis on the data stored in the process master storage. Methods are disclosed for capture, catalog, combination, correlation, change, compression, and certification.

The invention aids an entity to selectively request additional data about a user to serve the needs of the entity without causing the user to have an adverse reaction. The invention helps an entity to determine the condition under which to request additional data so as to reduce the likelihood of causing the user to have an adverse reaction, e.g., terminate the interaction. One embodiment of the invention concerns customers requesting transactions with on-line merchants. More specifically, this embodiment aids merchants by detecting Internet credit card transactions that are likely to be fraudulent, and providing the merchants with mechanisms for managing a suspected transaction as it occurs to obtain additional information that can be useful to reducing the likelihood of fraud.

A process and system for database storage and retrieval are described along with methods for obtaining semantic profiles from a training text corpus, i.e., text of known relevance, a method for using the training to guide context-relevant document retrieval, and a method for limiting the range of documents that need to be searched after a query. A neural network is used to extract semantic profiles from text corpus. A new set of documents, such as world wide web pages obtained from the Internet, is then submitted for processing to the same neural network, which computes a semantic profile representation for these pages using the semantic relations learned from profiling the training documents. These semantic profiles are then organized into clusters in order to minimize the time required to answer a query. When a user queries the database, i.e., the set of documents, his or her query is similarly transformed into a semantic profile and compared with the semantic profiles of each cluster of documents. The query profile is then compared with each of the documents in that cluster. Documents with the closest weighted match to the query are returned as search results.

A method and system for communicating insurance related services between an insured and an insurer through an Internet communication scheme includes a processing system for processing acquired event and sensored data to compute the cost of insurance for the same period as the data is acquired. An enhanced Internet communication scheme provides an insured access to the acquired data and its processing through enhanced presentation systems (e.g., maps with usage, service or special event processing or even automobile service diagnostics.) In addition, communication packages can provide estimates based upon user-supplied information identifying projected usages.

A method and computer readable medium for exploring similar users and items of a media service. In one aspect, a user can explore for similar users iteratively. In one aspect, a user interface is generated that displays a user selectable indicia representing a similar member function for allowing a user to search a media service for at least one other user which has a degree of similarity with respect to the searching user. In another aspect, a method facilitates the search of such a similar user within a media service.

A flow processing facility, which uses a set of artificial neurons for pattern recognition, such as a self-organizing map, in order to provide security and protection to a computer or computer system supports unified threat management based at least in part on patterns relevant to a variety of types of threats that relate to computer systems, including computer networks. Flow processing for switching, security, and other network applications, including a facility that processes a data flow to address patterns relevant to a variety of conditions are directed at internal network security, virtualization, and web connection security. A flow processing facility for inspecting payloads of network traffic packets detects security threats and intrusions across accessible layers of the IP-stack by applying content matching and behavioral anomaly detection techniques based on regular expression matching and self-organizing maps. Exposing threats and intrusions within packet payload at or near real-time rates enhances network security from both external and internal sources while ensuring security policy is rigorously applied to data and system resources. Intrusion Detection and Protection (IDP) is provided by a flow processing facility that processes a data flow to address patterns relevant to a variety of types of network and data integrity threats that relate to computer systems, including computer networks.

An auction service is provided that stimulates competition between energy suppliers (i.e., electric power or natural gas). A bidding moderator (Moderator) receives bids from the competing suppliers of the rate each is willing to charge to particular end users for estimated quantities of electric power or gas supply (separate auctions). Each supplier receives competing bids from the Moderator and has the opportunity to adjust its own bids down or up, depending on whether it wants to encourage or discourage additional energy delivery commitments in a particular geographic area or to a particular customer group. Each supplier's bids can also be changed to reflect each supplier's capacity utilization. Appropriate billing arrangements are also disclosed.

Dynamically filtering and classifying messages, as good messages, bulk periodicals, or spam. A regular expression recognizer, and pre-trained neural networks. The neural networks distinguish “likely good” from “likely spam,” and also operate at a more discriminating level to distinguish among the three categories above. A dynamic whitelist and blacklist; sending addresses are collected when the number of their messages indicates the sender is good or a spammer. A dynamically selected set of regular expressions input to the neural networks.

A dynamic pricing system for complex energy securities, comprising a communications interface executing on a network-connected server and adapted to receive information from a plurality of iNodes, an event database coupled to the communications interface and adapted to receive events from a plurality of iNodes via the communications interface, a pricing server coupled to the communications interface, and a statistics server coupled to the event database and the pricing server, is disclosed. According to the invention, the pricing server, on receiving a request to establish a price for an energy security, requests at least one statistical indicia of risk from the statistics server, the statistical indicia of risk being computed by the statistics server based on a plurality of historical data obtained from the event database, and the pricing server computes a price for the security based at least in part on the statistical indicia of risk.

Managing controlled content on a web page is disclosed. A web page is analyzed. Controlled content and revenue-generating code are detected on the web page. A party to contact is determined based on the revenue-generating code or the controlled content.

A flow processing facility, which uses a set of artificial neurons for pattern recognition, such as a self-organizing map, in order to provide security and protection to a computer or computer system supports unified threat management based at least in part on patterns relevant to a variety of types of threats that relate to computer systems, including computer networks. Flow processing for switching, security, and other network applications, including a facility that processes a data flow to address patterns relevant to a variety of conditions are directed at internal network security, virtualization, and web connection security. A flow processing facility for inspecting payloads of network traffic packets detects security threats and intrusions across accessible layers of the IP-stack by applying content matching and behavioral anomaly detection techniques based on regular expression matching and self-organizing maps. Exposing threats and intrusions within packet payload at or near real-time rates enhances network security from both external and internal sources while ensuring security policy is rigorously applied to data and system resources. Intrusion Detection and Protection (IDP) is provided by a flow processing facility that processes a data flow to address patterns relevant to a variety of types of network and data integrity threats that relate to computer systems, including computer networks.

A method of distributing charging power among a plurality of charge ports of a battery charging station is provided, where the battery charging station includes a plurality of power stages where each power stage includes an AC to DC converter and provides a portion of the charging station's maximum available charging power, the method comprising the steps of (i) monitoring battery charging station conditions and operating conditions for each charging port; (ii) determining current battery charging station conditions, including current operating conditions for each charging port; (iii) determining power distribution for the battery charging station and the charging ports in response to the current battery charging conditions and in accordance with a predefined set of power distribution rules; and (iv) coupling the power stages to the charging ports in accordance with the power distribution.

A method for managing multi-tier SLA relationships. The method can include first computing costs of utilizing edge server resources in a CDN, costs of dedicating content host resources in a content host in lieu of the utilization, and prospective revenues which can be generated by the content host providing services based on the resources to content consumers. Minimum QoS levels can be identified which must be maintained when providing the services to the content consumers according to QoS terms in established SLAs between the content host and individual ones of the content consumers. Finally, a new SLA can be established between the content host and the CDN. Importantly, the new SLA can include QoS terms for selectively allocating resources in the CDN. Moreover, the QoS terms can optimize revenues generated by the content host providing services based on the selective allocation of resources and the computed costs.