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文献详情 >基于Self-X认知制造网络实现认知大规模个性化定制--一种... 收藏

基于Self-X认知制造网络实现认知大规模个性化定制--一种工业知识图谱及图嵌入技术使能的途径

Achieving Cognitive Mass Personalization via the Self-X Cognitive Manufacturing Network: An Industrial Knowledge Graph- and Graph Embedding-Enabled Pathway

作     者:李心雨 郑湃 鲍劲松 高亮 徐旬 Xinyu Li;Pai Zheng;Jinsong Bao;Liang Gao;Xun Xu

作者机构:College of Mechanical EngineeringDonghua UniversityShanghai 201620China Department of Industrial and Systems EngineeringThe Hong Kong Polytechnic UniversityHong Kong 999077China State Key Laboratory of Digital Manufacturing Equipment and TechnologySchool of Mechanical Science and EngineeringHuazhong University of Science and TechnologyWuhan 430074China Department of Mechanical EngineeringThe University of AucklandAuckland 1010New Zealand 

出 版 物:《Engineering》 (工程(英文))

年 卷 期:2023年第22卷第3期

页      面:14-19页

核心收录:

学科分类:081203[工学-计算机应用技术] 08[工学] 0835[工学-软件工程] 0812[工学-计算机科学与技术(可授工学、理学学位)] 

基  金:the National Natural Science Foundation of China(52005424) Jiangsu Provincial Policy Guidance Program(Hong Kong/Macao/Taiwan Science and Technology Cooperation,BZ2020049) 

主  题:知识图谱 smart reforming 

摘      要:*** Facilitated by cutting-edge information and communication technologies(ICTs),smart manufacturing is emerging as an overwhelming wave,reforming global manufacturing systems[1].The ubiquitous connection and interoperability of manufacturing resources can be achieved through the Industrial Internet of Things(IIoT)[2,3],and the generated high volume,velocity,variety。

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