1847 results about "Expert system" patented technology

Rights management information is used at least in part in a matching, narrowcasting, classifying and / or selecting process. A matching and classification utility system comprising a kind of Commerce Utility System is used to perform the matching, narrowcasting, classifying and / or selecting. The matching and classification utility system may match, narrowcast, classify and / or select people and / or things, non-limiting examples of which include software objects. The Matching and Classification Utility system may use any pre-existing classification schemes, including at least some rights management information and / or other qualitative and / or parameter data indicating and / or defining classes, classification systems, class hierarchies, category schemes, class assignments, category assignments, and / or class membership. The Matching and Classification Utility may also use at least some rights management information together with any artificial intelligence, expert system, statistical, computational, manual, or any other means to define new classes, class hierarchies, classification systems, category schemes, and / or assign persons, things, and / or groups of persons and / or things to at least one class.

An expert system manages a power grid wherein charging stations are connected to the power grid, with electric vehicles connected to the charging stations, whereby the expert system selectively backfills power from connected electric vehicles to the power grid through a grid tie inverter (if present) within the charging stations. In more traditional usage, the expert system allows for electric vehicle charging, coupled with user preferences as to charge time, charge cost, and charging station capabilities, without exceeding the power grid capacity at any point. A robust yet accurate state of charge (SOC) calculation method is also presented, whereby initially an open circuit voltage (OCV) based on sampled battery voltages and currents is calculated, and then the SOC is obtained based on a mapping between a previously measured reference OCV (ROCV) and SOC. The OCV-SOC calculation method accommodates likely any battery type with any current profile.

The present invention relates generally to a building automation system, and, more particularly, to an Internet-centric, open, extensible software and hardware framework supporting all aspects of control and monitoring of a smart building ecosphere. The present invention further relates to an “intelligent,” real-time control system capable of both autonomous process control and interaction with system users and system administrators, which is configured to accommodate functional extensions and a broad array of sensors and control devices. The system allows individuals to communicate, monitor and adjust their personal environmental preferences (temperature, light, humidity, white noise, etc.) much like they would in an automobile, via the Internet. The system is equipped with an occupancy sensor that recognizes the presence and identity of the individual. A built-in expert system can make decisions based on data from multiple sources so that the system can alter its activity to conserve energy while maintaining users' comfort.

An expert system manages a power grid wherein charging stations are connected to the power grid, with electric vehicles connected to the charging stations, whereby the expert system selectively backfills power from connected electric vehicles to the power grid through a grid tie inverter (if present) within the charging stations. In more traditional usage, the expert system allows for electric vehicle charging, coupled with user preferences as to charge time, charge cost, and charging station capabilities, without exceeding the power grid capacity at any point. A robust yet accurate state of charge (SOC) calculation method is also presented, whereby initially an open circuit voltage (OCV) based on sampled battery voltages and currents is calculated, and then the SOC is obtained based on a mapping between a previously measured reference OCV (ROCV) and SOC. The OCV-SOC calculation method accommodates likely any battery type with any current profile.

The present invention relates generally to a building automation system, and, more particularly, to an Internet-centric, open, extensible software and hardware framework supporting all aspects of control and monitoring of a smart building ecosphere. The present invention further relates to an “intelligent,” real-time control system capable of both autonomous process control and interaction with system users and system administrators, which is configured to accommodate functional extensions and a broad array of sensors and control devices. The system allows individuals to communicate, monitor and adjust their personal environmental preferences (temperature, light, humidity, white noise, etc.) much like they would in an automobile, via the Internet. The system is equipped with an occupancy sensor that recognizes the presence and identity of the individual. A built-in expert system can make decisions based on data from multiple sources so that the system can alter its activity to conserve energy while maintaining users' comfort.

A method for real-time exploitation of documents in non-English languages includes processing an input document in into a processed input document, extracting ontology elements from the processed input document to obtain a document digest (DD), statistically scoring each DD to obtain a DD with category scores, refining the DD and the category scores to obtain a summary of each document in the form of a refined DD with refined category scores. The summary allows a user to estimate in real-time if the input document warrants added attention.

A medical digital expert system to predict a patient's response to a variety of treatments (using pre-treatment information) is described. The system utilizes data fusion, advanced signal / information processing and machine learning / inference methodologies and technologies to integrate and explore diverse sets of attributes, parameters and information that are available to select the optimal treatment choice for an individual or for a subset of individuals suffering from any illness or disease including psychiatric, mental or neurological disorders and illnesses. The methodology and system can also be used to determine or confirm medical diagnosis, estimate the level, index, severity or critical medical parameters of the illness or condition, or provide a list of likely diagnoses for an individual suffering / experiencing any illness, disorder or condition.

A method, system, and apparatus are directed towards selectively concatenating data into a packet to modify a number of packets transmitted over a network based on a combination of network and / or send-queue metrics. In one embodiment, Nagle's algorithm is used for concatenating data into a packet. The concatenation may be selectively enabled based on heuristics applied to the combination of metrics. In one embodiment, the result may indicate that there should be a concatenation, or that data should be sent immediately, or that a current state for whether to concatenate or not should be maintained. The heuristics may include an expert system, decision tree, truth table, function, or the like. The heuristics may be provided by a user, or another computing device. In another embodiment, the concatenation may be enabled based on a conditional probability determined from the combination of metrics.

An automated, unified, interactive system and methods for marketing. After a Marketer uploads transaction and customer data, the system automatically analyzes this data to predict at least one of the group consisting of purchase probabilities, likely buyers, up-sell opportunities, cross-sell opportunities, and potential defectors; selects a marketing campaign and customers to target in that marketing campaign, the step of selecting customers being based upon results from the step of analyzing customer and transaction data; predicts anticipated response rate and / or revenue from the marketing campaign; delivers at least one list of the customers to target, wherein the list of customers further comprises customer records; supplies an expert system to test elements of the campaigns such as targeting and offers; and collects fees based on a number of the records downloaded.

Systems and methods are disclosed for controlling and diagnosing the health of a motorized system. The systems may comprise a diagnostics system and a controller, wherein the diagnostics system employs a neural network, an expert system, and / or a data fusion component in order to assess the health of the motorized system according to one or more attributes associated therewith. The controller may operate the motorized system in accordance with a setpoint and / or a diagnostics signal from the diagnostics system. Also disclosed are methodologies for controlling and diagnosing the health of a motorized system, comprising operating a motor in the motorized system in a controlled fashion, and diagnosing the health of the motorized system according to a measured attribute associated with the motorized system, wherein the motor may be operated according to a setpoint and / or the diagnostics signal.

A computer implemented method of profiling cyber threats detected in a target environment, comprising: receiving, from a Security Information and Event Manager (SIEM) monitoring the target environment, alerts triggered by a detected potential cyber threat, and, for each alert: retrieving captured packet data related to the alert; extracting data pertaining to a set of attributes from captured packet data triggering the alert; applying fuzzy logic to data pertaining to one or more of the attributes to determine values for one or more output variables indicative of a level of an aspect of risk attributable to the cyber threat.

A system, method and computer program product for processing event records. The present invention includes a detection layer, an analysis layer, an expert systems layer and a presentation layer. The layered system includes a core infrastructure and a configurable, domain-specific implementation. The detection layer employs one or more detection engines, such as, for example, a rules-based thresholding engine and a profiling engine. The detection layer can include an AI-based pattern recognition engine for analyzing data records, for detecting new and interesting patterns and for updating the detection engines to insure that the detection engines can detect the new patterns. In one embodiment, the present invention is implemented as a telecommunications fraud detection system. When fraud is detected, the detection layer generates alarms which are sent to the analysis layer. The analysis layer filters and consolidates the alarms to generate fraud cases. The analysis layer preferably generates a probability of fraud for each fraud case. The expert systems layer receives fraud cases and automatically initiates actions for certain fraud cases. The presentation layer also receives fraud cases for presentation to human analysts. The presentation layer permits the human analysts to initiate additional actions.

A computerized system for monitoring and maintaining the health of a person comprising the steps of (a) obtaining parameter data from the patient and inputting the parameter data into a computer database; (b) analyzing the parameter data using a computerized statistical modeling technique module and a computerized adaptive expert system shell for the prediction of a health event in the lifetime of the patient; (c) using the analyzed data to developed a health maintenance schedule for the patient, and (d) embedding and / or linking such data onto a microprocessor powered smart card.

A system and related method for identifying a trigger event to a patient health-related exacerbation. The system includes at least one sensor configured to collect data related to the patient health-related exacerbation, an analyzer configured to validate the collected data, a patient interface device configured to receive patient inputs to at least one question, and an identifier device configured to receive the patient inputs and collected data and identify the trigger event. The system may also include an expert system configured to receive the patient inputs and the validated collected data and identify a primary patient disease, and a reporting device configured to generate reports related to the identified primary patient disease, patient inputs, and sensed patient conditions.

Rights management information is used at least in part in a matching, narrowcasting, classifying and / or selecting process. A matching and classification utility system comprising a kind of Commerce Utility System is used to perform the matching, narrowcasting, classifying and / or selecting. The matching and classification utility system may match, narrowcast, classify and / or select people and / or things, non-limiting examples of which include software objects. The Matching and Classification Utility system may use any pre-existing classification schemes, including at least some rights management information and / or other qualitative and / or parameter data indicating and / or defining classes, classification systems, class hierarchies, category schemes, class assignments, category assignments, and / or class membership. The Matching and Classification Utility may also use at least some rights management information together with any artificial intelligence, expert system, statistical, computational, manual, or any other means to define new classes, class hierarchies, classification systems, category schemes, and / or assign persons, things, and / or groups of persons and / or things to at least one class.

Methods and systems are described for improved drilling operations through the use of real-time drilling data to predict bit wear, lithology, pore pressure, a rotating friction coefficient, permeability, and cost in real-time and to adjust drilling parameters in real-time based on the predictions. The real-time lithology prediction is made by processing the real-time drilling data through a multilayer neural network. The real-time bit wear prediction is made by using the real-time drilling data to predict a bit efficiency factor and to detect changes in the bit efficiency factor over time. These predictions may be used to adjust drilling parameters in the drilling operation in real-time, subject to override by the operator. The methods and systems may also include determining various downhole hydraulics parameters and a rotary friction factor. Historical data may be used in combination with real-time data to provide expert system assistance and to identify safety concerns.

A method and system for patient generation and evolution for a computer-based testing system and / or expert system. One or more belief networks, which describe parallel health state networks are accessed by a user or a computer. A knowledge base, at least in part, is scripted from the one or more belief networks by the computer. A model patient at least in part, is instantiated by the computer from the scripted knowledge base. Optionally, the model patient is evolved by the computer in accordance with the parallel health state networks and responsive to a received course of action.

Systems and methods are disclosed for controlling, diagnosing and prognosing the health of a motorized system. The systems may comprise a diagnostics system, a prognostic system and a controller, wherein the diagnostics system and / or prognostic system employs a neural network, an expert system, and / or a data fusion component in order to assess and / or prognose the health of the motorized system according to one or more attributes associated therewith. The controller may operate the motorized system in accordance with a setpoint and / or a diagnostics signal from the diagnostics system and / or prognostic information. Also disclosed are methodologies for controlling, diagnosing and prognosing the health of a motorized system, comprising operating a motor in the motorized system in a controlled fashion, diagnosing and / or prognosing the health of the motorized system according to a measured attribute associated with the motorized system, wherein the motor may be operated according to a setpoint and / or the diagnostics signal and / or prognosis.

Business methods and systems that are provided use knowledge-based expert systems for mining (extracting) highly structured clinical information from various structured and unstructured sources of healthcare provider data. In one business method for on-line healthcare management and decision support, a service provider maintaining a collection of structured clinical data, the structured clinical data comprising information automatically mined from various structured and unstructured sources of healthcare provider data from one or more different healthcare providers. The service provider provides a customer on-line access to structured clinical data in the collection, or providing an on-line service to the customer using structured clinical data in the collection, based on a service agreement between the customer and the service provider.

Rights management information is used at least in part in a matching, narrowcasting, classifying and / or selecting process. A matching and classification utility system comprising a kind of Commerce Utility System is used to perform the matching, narrowcasting, classifying and / or selecting. The matching and classification utility system may match, narrowcast, classify and / or select people and / or things, non-limiting examples of which include software objects. The Matching and Classification Utility system may use any pre-existing classification schemes, including at least some rights management information and / or other qualitative and / or parameter data indicating and / or defining classes, classification systems, class hierarchies, category schemes, class assignments, category assignments, and / or class membership. The Matching and Classification Utility may also use at least some rights management information together with any artificial intelligence, expert system, statistical, computational, manual, or any other means to define new classes, class hierarchies, classification systems, category schemes, and / or assign persons, things, and / or groups of persons and / or things to at least one class.

A graphical user interface, together with a comparable scripting interface, couples a plurality of finite element, finite volume, or finite difference analytical programs and permits iterative convergence of multiple programs through one set of predefined commands. The user is permitted to select the joint problem for solution by choosing program selections. Data linkages that couple the program are predefined by an expert system administrator to permit less skilled modelers access to a comprehensive and multifaceted solution that would not be possible for the less skilled modelers to complete absent the graphical user interface.

Methods, devices and systems for virtual, remote and real-time collaboration between surgeons and engineers using system learning and intelligent and timely disbursement of design and performance information to engineering teams embarking on the preliminary design event of a personalized orthopedic implant or personalize surgical instrument utilizing a case-based reasoning expert system. Additive manufacturing technology and statistically controlled advanced manufacturing processes quickly produce personalized medical devices worldwide.

Aspects of the disclosure include a first risk-transfer system, a second risk-transfer system, and an expert-system based circuit. The first risk-transfer system is configured to provide a first risk-transfer based on first risk-transfer parameters from a plurality of motor vehicles to the first risk-transfer system, and receive and store first payment parameters associated with risk exposures of the plurality of motor vehicles. The second risk-transfer system is configured to provide a second risk-transfer based on second risk-transfer parameters from the first risk-transfer system to the second risk-transfer system, and receive and store second payment parameters associated with risk exposures transferred to the first risk-transfer systems. The expert-system based circuit is configured to receive environmental parameters and operating parameters from the plurality of motor vehicles, adjust the first risk transfer parameters and correlated first payment transfer parameters, and adjust the second risk transfer parameters and correlated second payment transfer parameters.

The invention discloses an intelligent substation based on sensors, a communication network and an expert system. The intelligent substation comprises a substation automation system, a primary equipment condition monitoring system and an intelligent auxiliary control system. The intelligent substation is characterized in that the real-time data of equipment operation are acquired by additionally installing various sensors, the IEC61850 standard is utilized to realize information modeling of the sensor data, a communication network is utilized to build a physical channel for information transmission, and advanced application of the substation automation system and intelligent monitoring and linkage of the primary equipment condition monitoring and auxiliary systems are realized by a background expert system, thus realizing intelligent operation and patrol functions of the substation; the sensors include an all-fiber electronic current transformer, a capacitive voltage divider type electronic voltage transformer, a primary equipment condition monitoring sensor and an internet sensor with an auxiliary system things; and the advanced application of the substation automation system includes sequential control, equipment condition visualization, intelligent alarm, distributed condition estimation, substitution function and the like. Intelligent operation and patrol functions of the substation can be realized.

The invention discloses a real-time interaction intelligent terminal control system based on the internet of things technology, which belongs to the technical field of the internet of things control. The real-time interaction intelligent terminal control system based on the internet of things technology comprises a real-time storing and refreshing module, an expert system module, an affair processing module, a main ZigBee coordination module, a ZigBee / UPnP protocol conversion module, an authentication and matching service module, an interface module and a central processing module, wherein the real-time storing and refreshing module, the expert system module, the affair processing module, the main ZigBee coordination module, the ZigBee / UPnP protocol conversion module, the authentication and matching service module and the interface module are respectively connected with the central processing module; and the main ZigBee coordination module, the ZigBee / UPnP protocol conversion module and the authentication and matching service module are connected with the authentication and matching service module in sequence. According to the system provided by the invention, visual and omnibearing interaction is realized, and meanwhile, affair processing instantaneity and reliability can be both considered.

The invention provides a method for monitoring hydrology and water quality of a river basin under influence of water projects based on Internet of Things. According to the method, various fixed and flowing sensors are additionally mounted so as to obtain real-time hydrology and water quality data of important water areas, in combination with a video technology, monitoring on a spot environment is achieved, the monitoring information is transmitted through the Internet of Things, intelligent prediction for hydrology and water quality of the river basin is carried out through a neural network, and finally, critical applications, such as current situation assessment, tendency estimation, implementation effect estimation and extreme event handling, are achieved through an expert system. The method provided by the invention can provide real-time, reliable and complete hydrology and water quality information for the river basin under influence of water projects, and can achieve cross-regional and multi-machine type integrated remote protection for the river basin.

A portable emergency medical device capable of communicating with a remote location preferably as a cellular telephone that can measure one or more human vital parameters such as pulse rate, body temperature, skin moisture, blood pressure, ECG or blood chemistry and can receive symptoms from a user either by voice recognition or by keypad and can provide an expert medical diagnosis. The device can store a complete medical history for one or more users and can use an expert system to make the diagnosis. The device can make an emergency medical call either on command or automatically requesting help and optionally supplying medical information and / or GPS location information.

An optimization and control system for a utility plant that uses fan based air cooled condensers controls the operation of the power generation system at the plant in conjunction with the operation of the air cooled condensers so as to run the power plant at an optimum operating point associated with minimizing or reducing the cost of each kilowatt-hour of energy or other useful energy produced by the plant. The optimization and control system includes an optimizer having a numerical solver that determines values for a set of control variables associated with an optimal operating point of the plant and an expert system that oversees and modifies the control variable settings prior to providing these settings to a plant controller. The numerical solver uses an objective function and one or more models of plant equipment to determine the operating point of the plant that minimizes the cost per unit of useful energy generated by the plant. As part of determining the optimal plant operating point, the numerical solver may determine the number of fans to run within the air cooled condensers of the plant and / or the speed of the fans to use in the air cooled condensers in conjunction with the amount of fuel to burn in the boiler, the desired temperature of the steam at the input of the steam turbine, etc., all required to produce a given amount of power (load demand) at the particular environmental conditions currently experienced at the plant. The expert system may modify these outputs by determining which fans to actually use at any particular time based on, for example, the availability of or the operational status of the fans, the wear of the fans and fan motors, etc.