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Study on modeling and emulation of VENSIMfor ordering system in steel enterprises

Zou Anquan,Yu Qi,Qin Zhongchi,Yang Fang,Dai Enyong

Strategic Study of CAE 2009, Volume 11, Issue 2,   Pages 60-64

Abstract:

Ordering models are essential for most corporations , which are usedIn the most supply chain enterprises , production is organized according to its sale , the ordering modelIn the case of retail ordering in steel enterprises , system dynamics is used to analyze the model ofretail ordering system , and simulation analysis is aimed at its realism , then the retail ordering

Keywords: ordering model     modeling and simulation     steel enterprise    

Evolutionary Decision Making Based on Candidates Ranking

Li Jianqi,Chen Huowang,Wang Bingshan

Strategic Study of CAE 2001, Volume 3, Issue 1,   Pages 62-70

Abstract: Some special considerations for Genetic Algorithms for ordering problem are also highlighted.

Keywords: evolutionary decision making     evolutionary robotics     genetic algorithms for ordering problem    

Learning natural ordering of tags in domain-specific Q&A sites

Junfang Jia, Guoqiang Li,jiajunfang816@163.com,li.g@sjtu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 2,   Pages 141-286 doi: 10.1631/FITEE.1900645

Abstract: is a defining characteristic of Web 2.0. It allows users of social computing systems (e.g., ) to use free terms to annotate content. However, is really a free action? Existing work has shown that users can develop implicit consensus about what tags best describe the content in an online community. However, there has been no work studying the regularities in how users order tags during . In this paper, we focus on the ing of tags in domain-specific Q&A sites. We study tag sequences of millions of questions in four Q&A sites, i.e., CodeProject, SegmentFault, Biostars, and CareerCup. Our results show that users of these Q&A sites can develop implicit consensus about in which order they should assign tags to questions. We study the relationships between tags that can explain the emergence of ing of tags. Our study opens the path to improve existing tag recommendation and Q&A site navigation by leveraging the ing of tags.

Keywords: Question and answering (Q&     A) sites     Tagging     Natural order     Skip gram    

Ubiquitous Energy Internet—New Energy Internet Coupling with Information and Energy

Gan Zhongxue,Zhu Xiaojun,Wang Cheng and Chen Yue

Strategic Study of CAE 2015, Volume 17, Issue 9,   Pages 98-104

Abstract:

With the world energy crisis and environmental protection issues, countries around the world are actively engaged in exploring the new way of the future energy development. In recent years, Jeremy Rifkin, the famous American economist, proposed the idea of the third industrial revolution and the energy internet which caused widespread concern. Following this trend, countries put forward their own development strategies of industrial technology which are driven by internet respectively, such as: the third industrial revolution and industrial Internet of American, industry 4.0 of Germany, smart grid and “Internet + energy” of China. Based on energy efficiency theory in the system, the ubiquitous energy Internet has a stereoscopic structure which consists of three levels: information network, energy network and physical network. By using the optimization control based on the coupling between information and energy to adjust measures to local conditions and fully exploit the multiple grade energy, the ubiquitous energy Internet can give the solution to the integration stability of the renewable energy and the dynamic matching between demand and supply, and become a representative internet of the new energy.

Keywords: ubiquitous energy internet     coupling with information and energy     energy internet     system energy efficiency     ordering    

Title Author Date Type Operation

Study on modeling and emulation of VENSIMfor ordering system in steel enterprises

Zou Anquan,Yu Qi,Qin Zhongchi,Yang Fang,Dai Enyong

Journal Article

Evolutionary Decision Making Based on Candidates Ranking

Li Jianqi,Chen Huowang,Wang Bingshan

Journal Article

Learning natural ordering of tags in domain-specific Q&A sites

Junfang Jia, Guoqiang Li,jiajunfang816@163.com,li.g@sjtu.edu.cn

Journal Article

Ubiquitous Energy Internet—New Energy Internet Coupling with Information and Energy

Gan Zhongxue,Zhu Xiaojun,Wang Cheng and Chen Yue

Journal Article