Patents
Literature
Eureka-AI is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Eureka AI

725 results about "Context based" patented technology

Context-based learning, CBL, refers to the use of real-life and fictitious examples in teaching environments in order to learn through the actual, practical experience with a subject rather than just its mere theoretical parts.

Dynamic User Interface for Configuring and Managing a Process Control System

A process control management method in a computer system for configuring and supervising a process plant includes providing an interactive user interface to manage a plurality of objects in the process plant, where each of the plurality of objects corresponds to a physical or logical entity in the process plant, including generating a navigation pane to display a set of selectable items, each in the set of selectable items corresponding to a respective one of the plurality of objects, and generating a command pane to display a set of selectable controls, each in the set of selectable controls corresponding to a task to be performed on at least one of the plurality of objects in the process plant; receiving a selection of one of an item in the set of selectable items via the navigation panel and a control in the set of selectable controls via the command panel; determining an operational context based on the received selection, wherein the operational context corresponds to one of a range of actions applicable to the selection if the selection is an item selection, or a range of items to which the selection is applicable if the selection is a control selection; and adjusting one of the navigation pane or the command pane according to the operational context, including displaying a subset of selectable items in the navigational pane, wherein each in the subset of selectable items is within the range applicable to the selection, if the selection is a control selection, and displaying a subset of selectable controls in the command pane, wherein each in the subset of selectable controls is within the range applicable to the selection, if the selection is an item selection.
Owner:FISHER-ROSEMOUNT SYST INC

Language model adaptation via network of similar users

A language recognition system, method and program product for recognizing language based input from computer users on a network of connected computers. Each computer includes at least one user based language model trained for a corresponding user for automatic speech recognition, handwriting recognition, machine translation, gesture recognition or other similar actions that require interpretation of user activities. Network computer users are clustered into classes of similar users according to user similarities such as, nationality, profession, sex, age, etc. User characteristics are collected by sensors and from databases and, then, distributed over the network during user activities. Language models with similarities among similar users on the network are identified. The language models include a language model domain, with similar language models being clustered according to their domains. Language models identified as similar are modified in response to user production activities. After modification of one language model, other identified similar language models are compared and adapted. Also, user data, including information about user activities and language model data, is transmitted over the network to other similar users. Language models are adapted only in response to similar user activities, when these activities are recorded and transmitted over the network. Language models are given a global context based on similar users that are connected together over the network.
Owner:NUANCE COMM INC

Internet eco system for transacting information and transactional data for compensation

In one embodiment, an Internet eco system includes a data posting platform securely accessible over the Internet to post personal, confidential and business data for conducting informational and transactional transactions for compensation. In another embodiment, the Internet eco system enables data providers to earn monetary compensation, system credits compensation or barter based compensation. In another embodiment, the Internet eco system enables data posting based upon freeform, system forms, keywords, mathematical logic, constraints, policies, facts, rules, workflow, or context logic; such data can be searched and retrieved based upon keywords, mathematical logic, constraints, policies, facts, rules, workflow, or context based search criteria. In yet another embodiment, the Internet eco system provides methods for authentication, authorization, accounting, data indexing, data classification, heuristics, activity metering, fraud detection and prevention, user identification, verification and dispute resolution, providing feedback, payments and systems credit settlement, providing virtual agent capabilities and third party interfacing capabilities and for providing interfaces to search logic. In yet another embodiment of the Internet eco system provides methods for data providers and data consumers to engage in and to consummate social networking based transactions.
Owner:HADI ALTAF
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products