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Knowledge Flow Rules of Modern Design under Distributed Resource Environment
Author(s) -
Junning Li,
Wei Chen,
Youbai Xie
Publication year - 2013
Publication title -
advances in mechanical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.318
H-Index - 40
eISSN - 1687-8140
pISSN - 1687-8132
DOI - 10.1155/2013/560856
Subject(s) - knowledge management , knowledge integration , computer science , resource (disambiguation) , knowledge value chain , knowledge transfer , knowledge based systems , domain knowledge , knowledge acquisition , personal knowledge management , procedural knowledge , knowledge engineering , knowledge base , design knowledge , energy flow , process (computing) , knowledge extraction , relation (database) , energy (signal processing) , organizational learning , artificial intelligence , data mining , mathematics , bottleneck , computer network , statistics , embedded system , operating system
The process of modern design under the distributed resource environment is interpreted as the process of knowledge flow and integration. As the acquisition of new knowledge strongly depends on resources, knowledge flow can be influenced by technical, economic, and social relation factors, and so forth. In order to achieve greater efficiency of knowledge flow and make the product more competitive, the root causes of the above factors should be acquired first. In this paper, the authors attempt to reveal the nature of design knowledge flow from the perspectives of fluid dynamics and energy. The knowledge field effect and knowledge agglomeration effect are analyzed, respectively, in which the knowledge field effect model considering single task node and the single knowledge energy model in the knowledge flow are established, then the general expression of knowledge energy conservation with consideration of the kinetic energy and potential energy of knowledge is built. Then, the knowledge flow rules and their influential factors including complete transfer and incomplete transfer of design knowledge are studied. Finally, the coupling knowledge flows in the knowledge service platform for modern design are analyzed to certify the feasibility of the research work

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