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141 results about "Specific knowledge" patented technology

By definition, specific knowledge is knowledge that is costly to transfer amongst individuals and general knowledge as knowledge that is inexpensive to transmit. For example, general knowledge is knowledge that can be researched through general information found in today’s media such as the internet, books, television, or radio broadcast.

Full three-dimensional digital knowledge base system and application method of knowledge base

The invention discloses a full three-dimensional digital knowledge base system and an application method of a knowledge base. The knowledge base system comprises a flow control module, a specific knowledge design module, an interaction control module, an equation editing module, a search control module, a computing control module and a knowledge base small functional module and is an independent knowledge driving system capable of being hung on different CAD (Computer-Aided Design). The application method of the knowledge base can be applied to various fields such as products, processes, tool design, product inspection and the like in the mechanism manufacture industry. A designer expresses knowledge such as purposes, industry design specifications, standard manuals, design experience, computational formulas and the like through an open programming-free visual knowledge editing function and stores the knowledge into the knowledge base, a database and a model base for reusing; and wizard design is realized through parameter passing, data acquisition and interaction and platform interaction. The system has the advantages of strong generality, convenience and rapidness, no leakage of enterprise core technology experience knowledge and the like and provides means for technical innovation and knowledge and experience accumulation.
Owner:西安易博软件有限责任公司

Method and apparatus for graphical device management using a virtual console

A method and apparatus is provided for remote device management using a virtual console. The method and apparatus implements a normalized scheme for developing a graphical user interface (GUI) for remotely managing any computer or networking device that has a console user interface (CUI) for updating a device configuration using a set of predefined configuration commands, and an underlying configuration kernel (CK) for maintaining the state of the device configuration (e.g. user names, passwords, timeout values, etc.). By re-using the CUI and underlying CK code, the scheme requires minimal specific knowledge of the configuration command set implementing the CUI and CK configuration functionality, thereby eliminating the necessity for creating redundant command set aware code in the GUI. In one embodiment, the method and apparatus employs a set of object-oriented classes and macros which interact with the CUI in a standardized manner to associate GUI components with the corresponding configuration command set. The standardized manner of interacting includes refreshing the state of the GUI in response to messages sent from the CUI, and sending messages to the CUI in response to user actions in the GUI. As a result, the GUI functions as a user-friendly interface that encapsulates the functionality of the CUI and underlying CK, and the CUI functions as a virtual console for the remote device.
Owner:INTEL CORP

Formal sequential lagrangian algorithm for large scale resource scheduling optimization

ActiveUS20060089864A1Reduce operating costsFast dual optimization—obtainingDigital computer detailsForecastingProblem domainAlgorithm
A method and computer program product for optimization of large scale resource scheduling problems. Large scale resource scheduling problems are computationally very hard and extremely time consuming to solve. This invention provides a Lagrangian relaxation based solution method. The method has two distinct characteristics. First, the method is formal. It is completely structure-based and does not use any problem domain specific knowledge in the solution process, either in the dual optimization or the primal feasibility enforcement process. Second, updating the Lagrangian multipliers after solution of every sub-problem without using penalty factors results in fast and smooth convergence in the dual optimization. The combination of high quality dual solution and the structure-based primal feasibility enforcement produces a high quality primal solution with very small solution gap. An optimal solution is first found to the dual of the resource scheduling problem by sequentially finding a solution to a plurality of sub-problems and updating a set of values used in the dual problem formulation after each sub-problem solution is obtained. Coupling constraint violations are systematically reduced and the set of values are updated until a feasible solution to the primal resource scheduling problem is obtained. An initial set of multiplier values is further determined by solving a relaxed version of the primal problem where most of the local constraints except the variable bounds are relaxed.
Owner:HITACHI ENERGY SWITZERLAND AG
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