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Research of Knowledge Database in Computer Aided Equipment Design System Based on I-deas
Yin Xiaowei,Hao Yongping,Qian Wenxue,Wei Yonghe
Strategic Study of CAE 2004, Volume 6, Issue 10, Pages 71-74
The frame, function and achievement method of knowledge sub-database in computer aided equipment designsystem based on I-deas are introduced according to the principle of Knowledge Based Engineering.Finally, the integration of the knowledge database and equipment design and management system is describedin the computer aided equipment design system based on I-deas.
Keywords: equipment knowledge based engineering knowledge database of equipment group technology I-deas
Research on integrating customization design for mechanical product
TAI Ligang, LI Dianqi, ZHONG Tingxiu, LI Zhi
Frontiers of Mechanical Engineering 2007, Volume 2, Issue 1, Pages 89-93 doi: 10.1007/s11465-007-0015-9
Keywords: engineering database product Management database technology knowledge
A Study on Double Bases Cooperating Mechanism in KDD ( I )
Yang Bingru,Wang Jianxin
Strategic Study of CAE 2002, Volume 4, Issue 4, Pages 41-51
Keywords: knowledge node primitive knowledge base primitive database data sub-class structure doublebase cooperating
Intelligent Products and Equipment Led by New-Generation Artificial Intelligence
Tan Jianrong, Liu Zhenyu, Xu Jinghua
Strategic Study of CAE 2018, Volume 20, Issue 4, Pages 35-43 doi: 10.15302/J-SSCAE-2018.04.007
Intelligent products and equipment is the value carrier, technologicalThe intelligent products and equipment refers to two dialectical aspects: on the one hand, commercializationsensing technology, and GPS positioning technology; On the other hand, the intelligent products and equipmentfields of intelligent products and equipment are formulated.Researches show that the new-generation intelligent products and equipment focuses on knowledge engineering
Keywords: intelligent products and equipment knowledge engineering intelligent state sensing intelligent variationadaptation intelligent knowledge learning intelligent control decision
Case modifying of high-speed cutting database based on CSP and similarity theory
Kejun XIANG, Zhanqiang LIU, Xing AI
Frontiers of Mechanical Engineering 2009, Volume 4, Issue 1, Pages 83-87 doi: 10.1007/s11465-009-0014-0
Keywords: high-speed cutting database case modifying CSP similarity calculation
A comprehensive information database (CID) of breast cancer patients in China
Shuai Li, Li Fu
Frontiers of Medicine 2012, Volume 6, Issue 2, Pages 212-216 doi: 10.1007/s11684-012-0185-7
Intelligent high-speed cutting database system development
XIANG Kejun, LIU Zhanqiang, AI Xing
Frontiers of Mechanical Engineering 2008, Volume 3, Issue 2, Pages 180-188 doi: 10.1007/s11465-008-0038-x
Keywords: control hybrid reasoning process component uncontrolled
Standard model of knowledge representation
Wensheng YIN
Frontiers of Mechanical Engineering 2016, Volume 11, Issue 3, Pages 275-288 doi: 10.1007/s11465-016-0372-3
Knowledge representation is the core of artificial intelligence research., database, mathematical model, graphics language, natural language, etc.To establish the intrinsic link between various knowledge representation methods, a unified knowledgeThis knowledge representation method is not a contradiction to the traditional knowledge representationand inconsistent knowledge.
Keywords: knowledge representation standard model ontology system theory control theory multidimensional representation
An error recognition method for power equipment defect records based on knowledge graph technology Regular Article
Hui-fang Wang, Zi-quan Liu,huifangwang@zju.edu.cn
Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 11, Pages 1564-1577 doi: 10.1631/FITEE.1800260
Keywords: 错误识别;电力设备缺陷记录;知识图谱;机器学习
A Framework of Knowledge Theory: Toward a Unified Theory of Information, Knowledge and Intelligence
Zhong Yixin
Strategic Study of CAE 2000, Volume 2, Issue 9, Pages 50-64
Knowledge has been very important wealth to the mankind but there has not a knowledge theory existedAn attempt is thus made in the paper to present a framework of knowledge theory that includes two parts: fundamentals and the main body of knowledge theory.The second part is to explore the mechanism of knowledge formation based on information processing andthe mechanism of intelligence formation based on the activation of knowledge.
Keywords: knowledge amount of knowledge knowledge formation knowledge activation unified theory of information-knowledge-intelligence
Ling-ling Zhang,Ming-hui Zhao,Qiao Wang
Frontiers of Engineering Management 2016, Volume 3, Issue 2, Pages 136-143 doi: 10.15302/J-FEM-2016030
Keywords: remanufacturing engineering management knowledge transfer and sharing knowledge management
Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 6, doi: 10.1007/s11783-021-1507-2
• The overall global perspective of the PHMCS field was obtained.
Keywords: Heavy metal-contaminated soil Hot topics Knowledge mapping analysis Knowledge base Phytoremediation
The application and deepening of knowledge management system
Li Hua
Strategic Study of CAE 2011, Volume 13, Issue 8, Pages 87-93
In the knowledge economy era, enterprises begin to realize that the mostvaluable property is knowledge.Effectively implementing the knowledge management system should be guided by the correct principles.The selection of sharing knowledge, building knowledge sharing platform and storage management unit,leading knowledge exchange and implementing incentive policies should be emphasized.
Keywords: knowledge management knowledge sharing knowledge forum
ARGs-OAP v3.0: Antibiotic-Resistance Gene Database Curation and Analysis Pipeline Optimization Article
Xiaole Yin, Xiawan Zheng, Liguan Li, An-Ni Zhang, Xiao-Tao Jiang, Tong Zhang
Engineering 2023, Volume 27, Issue 8, Pages 234-241 doi: 10.1016/j.eng.2022.10.011
Keywords: SARG database ARGs-OAP Antibiotic-resistance genes Environmental metagenome Quantification
Development and Prospect of Big Data Knowledge Engineering
Zheng Qinghua, Liu Huan, Gong Tieliang, Zhang Lingling, Liu Jun
Strategic Study of CAE 2023, Volume 25, Issue 2, Pages 208-220 doi: 10.15302/J-SSCAE-2023.02.018
Big Data Knowledge Engineering is the infrastructure of artificial intelligenceand propose a research framework of “data knowledgeization, knowledge systematization, and knowledgeSecondly, we sort out the key technologies of knowledge acquisition and fusion, knowledge representationdirections including complex big data knowledge acquisition, knowledge+data hybrid learning, and brain-inspiredknowledge coding and memorizing.
Keywords: Big Data Knowledge Engineering Knowledge Acquisition Knowledge Fusion Knowledge Representation Knowledge
Title Author Date Type Operation
Research of Knowledge Database in Computer Aided Equipment Design System Based on I-deas
Yin Xiaowei,Hao Yongping,Qian Wenxue,Wei Yonghe
Journal Article
Research on integrating customization design for mechanical product
TAI Ligang, LI Dianqi, ZHONG Tingxiu, LI Zhi
Journal Article
Intelligent Products and Equipment Led by New-Generation Artificial Intelligence
Tan Jianrong, Liu Zhenyu, Xu Jinghua
Journal Article
Case modifying of high-speed cutting database based on CSP and similarity theory
Kejun XIANG, Zhanqiang LIU, Xing AI
Journal Article
A comprehensive information database (CID) of breast cancer patients in China
Shuai Li, Li Fu
Journal Article
Intelligent high-speed cutting database system development
XIANG Kejun, LIU Zhanqiang, AI Xing
Journal Article
An error recognition method for power equipment defect records based on knowledge graph technology
Hui-fang Wang, Zi-quan Liu,huifangwang@zju.edu.cn
Journal Article
A Framework of Knowledge Theory: Toward a Unified Theory of Information, Knowledge and Intelligence
Zhong Yixin
Journal Article
Research on Knowledge Sharing and Transfer in Remanufacturing Engineering Management Based on SECI Model
Ling-ling Zhang,Ming-hui Zhao,Qiao Wang
Journal Article
perspectives and future research directions for the phytoremediation of heavy metal-contaminated soil: A knowledge
Journal Article
ARGs-OAP v3.0: Antibiotic-Resistance Gene Database Curation and Analysis Pipeline Optimization
Xiaole Yin, Xiawan Zheng, Liguan Li, An-Ni Zhang, Xiao-Tao Jiang, Tong Zhang
Journal Article