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Research on rough set theory and applications in China

Lecture Notes in Computer Science

作者： Wang, Guoyin Zhang, Qinghua Huang, Houkuan Ye, Dongyi Hu, Qinghua Hu, Xuegang Shi, Zhongzhi Li, Yongli Shang, Lin An, Liping Sai, Ying Chen, Shanben Liang, Jiye Qin, keyun Zeng, Huanglin Xie, Keming Miao, Duoqian Min, Fan Wu, Zhaocong Wu, Weizhi Dai, Jianhua Institute of Computer Science and Technology Chongqing University of Posts and Telecommunications Chongqing 400065 China School of Information Science and Technology Southwest Jiaotong University Chengdu 610031 China School of Computer and Information Technology Beijing Jiaotong University Beijing 100044 China College of Math. and Computer Fuzhou University Fuzhou 350002 China Harbin Institute of Technology PO Box 458 Harbin 150006 China School of Computer and Information Hefei University of Technology Hefei 230009 China Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China Lanzhou University No.222 Tianshui South Rd. Lanzhou 730000 China State Key Laboratory for Novel Software Technology Nanjing University Nanjing 210093 China Management Science and Engineering Department Business School Nankai University Tianjin 300071 China Shandong University of Finance No.40 Shun-geng Road Jinan 250014 China Welding Engineering Institute Shanghai Jiaotong University Shanghai 200030 China School of Computer and Information Technology Shanxi University Taiyuan 030006 China Intelligent Control Development Center Southwest Jiaotong University Chengdu 610031 China Artificial Intelligence of Key Laboratory Sichuan University of Science and Engineering Zigong 643000 China Department of Automation College of Information Engineering Taiyuan University of Technology Taiyuan 030024 China 4800 CaoAn Highway Shanghai 201804 China School of Computer Science and Technology University of Electronic Science and Technology of China Chengdu 610054 China School of Remote Sensing Information Engineering Wuhan University Wuhan 430079 China Institute for Information and System Sciences Faculty of Science Xi'an Jiaotong University Xi'an 710049 China Information College Zhejiang Ocean University Zhejiang 316004 China Institute of Artificial Intelligence Zhejiang University Hangzhou 310027 China

ISBN: (纸本)3540850635

This article gives a capsule view of research on rough set theory and applications ongoing at universities and laboratories in China. Included in this capsule view of rough set research is a brief description of the following things: Chinese research groups on rough set with their URLs for web pages, names of principal researchers (supervisors), numbers of graduate students, and topics being investigated. Statistical summaries showing the growth in the research on rough set theory and application in China are included. In addition, an introduction summarizing the research interests of Chinese researchers is included in this article. The contribution of this article is a complete overview of the principal research directions in rough set theory and its applications in China. © 2008 Springer-Verlag Berlin Heidelberg.

关键词： Rough set theory

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Grey systems for intelligent sensors and information processing

引用

Journal of systems engineering and Electronics 2008年第4期000卷

作者： Chen Chunlin Dong Daoyi Chen Zonghai Wang Haibo Chen Chunlin (Dept.of Control and System Engineering School of Management and EngineeringNanjing Univ.Nanjing 210093P.R.China State Key Laboratory for Novel Software Technology Nanjing Univ.Nanjing 210093P.R.China) Dong Daoyi (State Key Laboratory for Novel Software Technology Nanjing Univ.Nanjing 210093P.R.China) Chen Zonghai (Dept.of Automation Univ.of Science and Technology of ChinaHefei 230027P.R.China)

In a measurement system,new representation methods are necessary to maintain the uncertainty and to supply more powerful ability for reasoning and transformation between numerical system and symbolic system.A grey measurement system is discussed from the point of view of intelligent sensors and incomplete information processing compared with a numerical and symbolized mea8urement *** methods of grey representation and information processing are proposed for data collection and *** a case study,multi-ultrasonic sensor systems are demonstrated to verify the effectiveness of the proposed methods.

关键词： grey system grey sensors information processing

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Effect of CoCl2 catalyst on pyrolysis of lignite

Effect of CoCl2 catalyst on pyrolysis of lignite

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24th Annual International Pittsburgh Coal Conference 2007, PCC 2007

作者： Zou, Xianwu Qin, Tefu Yao, Jianzhong Yang, Xuemin Song, Wenli Lin, Weigang Research Institute of Wood Industry Key Laboratory of Wood Science and Technology of SFA Chinese Academy of Forestry Beijing 100091 China State Key Laboratory of Multi-phase Complex System Institute of Process Engineering Chinese Academy of Sciences Beijing 100080 China

ISBN: (纸本)9781604238617

Coal pyrolysis can be significantly affected by CoCl2 catalyst. In this paper, the effect of CoCl2 catalyst on the pyrolysis of Huolinhe lignite was investigated in a spout-entrainment reactor and in a thermogravimetric cell. The results showed that the yield of total volatile from lignite fast pyrolysis using CoCl2 catalyst was twice as much as that without CoCl2 catalyst. Moreover, the main components of light tar, including phenol, carboxylic and aliphatic groups were also increased by 150 %, 83 %, 100 % and 200 %, respectively. On the contrary, the slow pyrolysis of lignite was inhibited by CoCl2 catalyst: the yield of total volatile and the yields of phenol and carboxylic groups were all decreased. The different effect of CoCl2 catalyst on fast and slow pyrolysis of coal might be attributed to secondary cracking of tar precursors. In order to recycle Co catalyst, CoCl2 was impregnated to clay zeolite. The catalytic effect of Co-clay zeolite is lower than that of CoCl2 directly impregnated to lignite. However, catalytic pyrolysis of lignite with Co-clay zeolite should be feasible in an industrial setting because it's easy to be separated and recycled.

关键词： Chlorine compounds

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An online semi-supervised active learning algorithm with self-organiing incremental neural network

An online semi-supervised active learning algorithm with sel...

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2007 International Joint Conference on Neural Networks, IJCNN 2007

作者： Furao, Shen Sakurai, Keisuke Kamiya, Youki Hasegawa, Osamu State Key Laboratory for Novel Software Technology Nanjing University Nanjing 210093 China Japan Society for the Promotion of Science Department of Computer Intelligence and System Science Tokyo Institute of Technology Imaging Science and Engineering Laboratory Tokyo Institute of Technology

ISBN: (纸本)142441380X

An online semi-supervised active learning algorithm is proposed, which is based on self-organizing incremental neural network (SOINN). The proposed method do not need any priori knowledge such as number of nodes or number of classes;it can automatically learn number of nodes and teacher vectors needed by the current task;It can realize online incremental learning even life-long learning. The experiments for artificial data and real world data show that the proposed method works efficiently. ©2007 IEEE.

关键词： Teaching

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Solution to the Generalized Champagne Problem on simultaneous stabilization of linear systems

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Science in China(Series F) 2007年第5期50卷 719-731页

作者： GUAN Qiang WANG Long XIA BiCan YANG Lu YU WenSheng ZENG ZhenBing Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences Beijing 100080 China Center for Systems and Control College of Engineering Peking University Beijing 100871 China LMAM and School of Mathematical Sciences Peking University Beijing 100871 China Shanghai Institute of Theoretical Computing Software Engineering Institute East China Normal University Shanghai 200062 China National Key Laboratory of Intelligent Technology and Systems Tsinghua University Beijing 100084 China

The well-known Generalized Champagne Problem on simultaneous stabilization of linear systems is solved by using complex analysis and Blonders technique. We give a complete answer to the open problem proposed by Patel et al., which automatically includes the solution to the original Champagne Problem. Based on the recent development in automated inequality-type theorem proving, a new stabilizing controller design method is established. Our numerical examples significantly improve the relevant results in the literature.

关键词： linear systems stabilization simultaneous stabilization Champagne Problem Generalized Champagne Problem,complex analysis inequality-type theorem automated theorem proving

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Scalable Web Service Discovery on P2P Overlay Network

Scalable Web Service Discovery on P2P Overlay Network

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IEEE International Conference on Services Computing (SCC)

作者： Gang Zhou Jianjun Yu Rui Chen Hui Zhang National Digital Switching System Engineering and Technological Research and Development Center State Key Laboratory of Software Development Environment Beihang University China

Decentralized approaches for Web services discovery, such as peer-to-peer, become more and more attention - getting in the scientific community. In this paper, we propose a peer-to-peer framework, which adopts an enhanced skip graph named Servicelndex as the overlay network for service discovery. To guarantee discovery efficiency, Servicelndex schemed WSDL-S (Web services semantics) as semantic Web services description language and extracted its semantic attributes as indexing keys in skip graph. Also a multi-layer P2P overlay network was constructed to aggregate similar keys and keep load balancing on peer nodes. The evaluation showed that the Servicelndex system performs considerable service discovery efficiency.

关键词： Web services Peer to peer computing Aggregates Load management Scalability Protocols OWL Programming Switching systems systems engineering and theory

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Modelling and Control of a Self-Levelling Crane

Modelling and Control of a Self-Levelling Crane

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IEEE International Conference on Mechatronics and Automation

作者： Xiaocheng Zhang Jianqiang Yi Dongbin Zhao Guosheng Yang The Key Laboratory of Complex System and Intelligence Science Institute of Automation Chinese Academy and Sciences Beijing China College of Computer and Information Engineering Henan University Kaifeng Henan China

This paper concerns the fields of self-levelling crane systems. We firstly design a practical but simplified 3D crane model. And then, focusing on the self-levelling adjusting mechanism, we derive its static equilibrium equations as the model equations, based on engineering requirements. Thirdly, we propose a try-and-get (TAG) method to realize self-levelling adjustment. Finally, we analyze the defects of the TAG method and put forward an On-Line TAG algorithm, which performs well in the simulation.

关键词： Cranes Payloads Technical Activities Guide -TAG Kinematics Automation Cities and towns Equations Automatic control Stability analysis Cables

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Complete method based on geometric constraint solving

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Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics 2007年第7期19卷 828-834+839页

作者： Lin, Qiang Gao, Xiaoshan Liu, Yuanyuan Chen, Ying Dai, Guozhong Intelligence Engineering Laboratory Institute of Software Chinese Academy of Sciences Beijing 100080 China College of Information and Electrical Engineering China Agricultural University Beijing 100080 China Mathematics Mechanization Key Laboratory Academy of Mathematics and System Science Chinese Academy of Sciences Beijing 100080 China Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing 100080 China

This paper presents an algorithm based on the intelligent linkage with the application of parametric CAD in constraint solving. Our algorithm improves the geometric construction and complexity. Furthermore, by integrating with other methods, such as the LIM0 method, geometric transformed method, C-Tree method, numerical method and so on, we can build a complete geometric constraint solving framework which solves the 2D and 3D geometric constraint and can automatically give the construction. We also develop a dynamic geometric intelligent software based on the presented algorithm and the results demonstrate the significant performance.

关键词： Geometric constraint solving Intelligent linkage Parametric CAD

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An Online Semi-supervised Active Learning Algorithm with Self-organiing Incremental Neural Network

An Online Semi-supervised Active Learning Algorithm with Sel...

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International Joint Conference on Neural Networks (IJCNN)

作者： Shen Furao Keisuke Sakurai Youki Kamiya Osamu Hasegawa Japan Society for the Promotion of Science Japan State Key Laboratory for Novel Software Technology Nanjing University Nanjing China Department of Computer Intelligence and System Science Tokyo Institute of Technology Japan Imaging Science and Engineering Laboratory Tokyo Institute of Technology Japan

An online semi-supervised active learning algorithm is proposed, which is based on self-organizing incremental neural network (SOINN). The proposed method do not need any priori knowledge such as number of nodes or number of classes; it can automatically learn number of nodes and teacher vectors needed by the current task; It can realize online incremental learning even life-long learning. The experiments for artificial data and real world data show that the proposed method works efficiently.

关键词： Neural networks Learning systems Semisupervised learning Topology Training data Laboratories Artificial neural networks Supervised learning Costs Labeling

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Aadaptive genetic algorithm based on real coded and its application

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Beijing Gongye Daxue Xuebao / Journal of Beijing University of Technology 2007年第2期33卷 144-149页

作者： Gao, Xue-Jin Wang, Pu Sun, Chong-Zheng Yi, Jian-Qiang Zhang, Ya-Ting Zhang, Hui-Qing College of Electronic Information and Control Engineering Beijing University of Technology Beijing 100022 China Key Laboratory of Complex System and Intelligence Science Chinese Acad. of Sci. Beijing 100033 China

To solve the problem of the premature convergence and the slow convergence of Genetic Algorithms, an adaptive Genetic Algorithms based on real coded (RAGA) was proposed to improve the coding modes, genetic operators, etc. Optimization simulation results based on typical complex functions show that the optimal convergence rate and global hitting probability of the proposed algorithm are much better than those of simple Genetic algorithms.

关键词： Genetic algorithms

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