通过融入Web驱动和非接触式的电子信息技术,电子化制造(e—manufacturing)系统可使企业获得近乎零的故障停机率,并可与企业高层商务系统保持信息同步,创造“只对信息处理一次(OHIO,only handle information once)”的工作环境。本文介绍...通过融入Web驱动和非接触式的电子信息技术,电子化制造(e—manufacturing)系统可使企业获得近乎零的故障停机率,并可与企业高层商务系统保持信息同步,创造“只对信息处理一次(OHIO,only handle information once)”的工作环境。本文介绍了Web驱动的电子化制造技术的基本原理、战略规划及其所应具备的基本要素,并重点阐述了智能维护这一关键技术。最后,为电子化制造的实施提出了应对策略。展开更多
In Web 2.0 era,the content on a web page is increasingly generated by end users,rather than limited number of administrators.Hence,large number of User Generated Content(UGC) has driven the explosion of content in the...In Web 2.0 era,the content on a web page is increasingly generated by end users,rather than limited number of administrators.Hence,large number of User Generated Content(UGC) has driven the explosion of content in the web.Thanks to UGC,the pattern of web usage has evolved from download dominated way to a hybrid one with both information download and upload.Large number of UGC has unveiled great capacity of information that is unavailable for researchers before,such as individual preferences,social connections,and etc.In this paper,we propose a novel model which studies the UGC in micro-blogging web sites,the largest and fastest information diffusion media online,and evaluate the social influence for an arbitrary individual.Experimental results show that our model outperforms state-of-the-art techniques in social influence evaluation in both the running time and accuracy.展开更多
文摘通过融入Web驱动和非接触式的电子信息技术,电子化制造(e—manufacturing)系统可使企业获得近乎零的故障停机率,并可与企业高层商务系统保持信息同步,创造“只对信息处理一次(OHIO,only handle information once)”的工作环境。本文介绍了Web驱动的电子化制造技术的基本原理、战略规划及其所应具备的基本要素,并重点阐述了智能维护这一关键技术。最后,为电子化制造的实施提出了应对策略。
基金ACKNOWLEDGEMENT This work was partially supported by the National Natural Science Foundation of China under Grants No. 61202179, No. 61173089 SRF for ROCS, SEM and the Fundamental Research Funds for the Central Universities.
文摘In Web 2.0 era,the content on a web page is increasingly generated by end users,rather than limited number of administrators.Hence,large number of User Generated Content(UGC) has driven the explosion of content in the web.Thanks to UGC,the pattern of web usage has evolved from download dominated way to a hybrid one with both information download and upload.Large number of UGC has unveiled great capacity of information that is unavailable for researchers before,such as individual preferences,social connections,and etc.In this paper,we propose a novel model which studies the UGC in micro-blogging web sites,the largest and fastest information diffusion media online,and evaluate the social influence for an arbitrary individual.Experimental results show that our model outperforms state-of-the-art techniques in social influence evaluation in both the running time and accuracy.
