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Emotion Recognition of EMG Based on BP Neural Network................................................................................227 Xizhi Zhu Design of Electron-agriculture System Base on Information Visualization and Windows Live Platform .............230 Meiyu Zhang, and Fengfan Zou Research of System-Switch Mechanism Based on sCPU-dBUS Architecture.......................................................234 Fengjing Shao, Xiaoning Song, and Rencheng Sun Research and Application of Enterprise Search Based on Database Security Services..........................................238 Yi Huang, Xinqiang Ma, and Danning Li Study of Electromyography Based on Informax ICA and BP Neural Network......................................................242 Guangying Yang, and Shanxiao Yang ECG Pattern Recognition Based on Wavelet Transform and BP Neural Network .................................................246 Shanxiao Yang, and Guangying Yang Property Analysis of Petri Net Reduction...............................................................................................................250 Chuanliang Xia An Improved Volumetric Compression Algorithm Based on Histogram Information ...........................................254 Liping Zhao, and Yu Xiang An Object Extraction Method Based on Oscillatory Network ...............................................................................258 Min Li, Lizhong Xu, and Min Tang CNC System of MKS1632 External Cylindrical Grinding Machines Based on Embedded ..................................262 Xuyan Zhou, Bin Tan, Bing Zhu, XuanGe Peng, and Yonghua Pei Parabola Interpolation With Adaptive Error Compensation ...................................................................................267 Guangming Yang, and Fengqi Yu Cloud Trust Model in E-Commerce .......................................................................................................................271 Min Wu Database Auditing Design on Historical Data ........................................................................................................275 Narongrit Waraporn Author Index ..................................................................................................................................................282 vi
Message from the Symposium Chairs The 2010 International Symposium on Networking and Network Security (ISNNS 2010) was the Second in the annual series that started in Qingdao, China, during Oct. 28-30,2009(ISNNS 2009). In the field of networking, the specialist area of network security consists of the provisions made in an underlying computer network infrastructure, policies adopted by the network administrator to protect the network and the network-accessible resources from unauthorized access, and consistent and continuous monitoring and measurement of its effectiveness (or lack) combined together. The 2010 International Symposium on Networking and Network Security will bring together researchers from academia and industry, who are interested in the emergent field of information processing. We are soliciting papers that present recent results, as well as more speculative presentations that discuss research challenges, define new applications, and propose methodologies for evaluating and the roadmap for achieving the vision of Networking and Network Security. Welcome to ISNNS 2010.Welcome to Jinggangshan, China, 2-4 April 2010. The 2010 International Symposium on Networking and Network Security is co-sponsored by Jinggangshan University, China;Peoples'Friendship University of Russia;Feng Chia University, Taiwan; Nanchang HangKong University, China; East China Jiaotong University, China;Jiaxing University, China; Qingdao University of Science & Technology, China; Academy Publisher of Finland, Finland; Hunan Agricultural University, China. Technical Co-Sponsors of the conference are IEEE; IEEE Shanghai Section. Much work went into preparing a program of high quality. We received 147 submissions, every paper was reviewed by 2 program committee members or 3 reviewers, and 79 papers are selected as regular papers, representing a 54% acceptance rate for regular papers. From these 79 research papers, through two rounds of reviewing, the guest editors selected 9 papers as the Excellent papers will be published by the special issues on Journal of Computers (EI Compendex, ISSN 1796-203X), Journal of software (EI Compendex, ISSN 1796-217X), Journal of Multimedia (EI Compendex, ISSN 1796-2048), Journal of Networks (EI Compendex, ISSN 1796-2056). The purpose of ISNNS 2010 is to bring together researchers and practitioners from academia, industry, and government to exchange their research ideas and results and to discuss the state of the art in the areas of the symposium. In addition, the participants of the main conference will hear from renowned keynote speakers IEEE Fellow Prof. Jun Wang from Chinese University of Hong Kong, Hong Kong; IEEE Fellow Prof. Derong Liu, Editor-in-Chief of IEEE Trans. on Neural Networks from Chinese Academy of Sciences,China; IEEE & IET Fellow Prof. Chin-Chen Chang from National Chung Hsing University, Taiwan, and Chair of IEEE Shanghai Section, Prof. Junfa Mao from Shanghai Jiaotong University, China. We would like to thank the program chairs, organization staff, and the members of the program committees for their hard work. We hope that ISNNS 2010 will be successful and enjoyable to all participants. We thank Sun, George J. for his wonderful editorial service to this proceeding. We wish each of you successful deliberations, stimulating discussions, new friendships and all enjoyment Jinggangshan, China can offer you. While this is a truly remarkable Symposium, there is more yet to come. We look forward to seeing all of you next year at the ISNNS 2011. Fei Yu ,Guangxue Yue, Ming Leng,Xuange Peng vii
Page 1 and 2: Proceedings The Second Internationa
Page 3 and 4: Table of Contents Message from the
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Page 13 and 14: model that can deal with time serie
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Page 23 and 24: Student side Student side Student s
Page 27 and 28: If we define element of student as
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Page 39 and 40: A. Profiling&following control algo
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Page 47 and 48: support 10 Mb / s. But ENC28J60 onl
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ubber according to the mass ratio o
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Ⅲ. AN IMPROVED DNA ALGORITHM FOR
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Ⅴ.CONCLUSION REMARKS DNA computer
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its first child q 1 on the left, th
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chains can greatly improve efficien
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II. RELATED WORK A. Mobile Service
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special services. SOAP is used to b
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detection methods of DDoS attacks m
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Step4 calculate the new subordinate
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Figure 1. An analysis of the partit
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The preceding three formulas can be
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And the decay speed of buffer seque
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distance of view point. Given that
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Ⅳ. EVALUATION OF BLENDED LEARNING
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symmetric with respect to the origi
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each sample belongs to each categor
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A. Data Preparing To generate our t
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oth α and β . determination of Qu
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Strong earthquake 0.1< M L
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indirect causes, and the logical re
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egression. Granger causality test i
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B. Evaluation We have evaluated thi
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used as a source and neighboring ce
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Figure 3. Drainage networks generat
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Combinational logic unit failures i
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Tabal.1 Combinational fault logic t
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under the endorsement of both the m
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TABLE I. DESCRIPTION OF PROPOSITION
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Figure 2. The process of the invers
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Figure 9. (a)the original image.(b)
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In order to reduce to the number of
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that studying being going to be to
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Reference[10] analyzed the evolutio
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module, communication module, apper
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After the comprehensive performance
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system testing can be seen that the
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III. AUTONOMIC RESOURCE ALLOCATION
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The QoE i (T i ) is the ith user’
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nodes will be formed one cluster, t
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Where n is the number of data point
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Keyboard event Application User mod
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SQL Azure will eventually include a
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The nodes in the suffix tree are dr
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[3] Y. Li, S. M. Chung, and J. D. H
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some drilling fluid produces hydrog
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"normalization", whose membership b
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and minimum structural elements in
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esults of the spatial transform par
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B. Research on protocol actions Com
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ACKNOWLEDGMENT This work is funded
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A. Problem Description In a small b
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[4] Huang, Hung, and J. Y. jen Hsu.
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Further by calculating, the followi
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TABLE II. THE CONCENTRATION BETWEEN
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private key that obtained by using
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ontology, and the domain dictionary
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Eq.4 is NP-hard and can be solved b
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Where: G i is the selection field o
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If there is X j in a generation, wh
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Theorem 2.4([10]). Let L 1 and L 2
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The relation between the lattice im
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Figure 2. Example of single-step de
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evocation and the fourth group stor
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focused mainly on rule-based forms
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Ⅵ. CONCLUSION Figure 6. The Flask
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EDCF in comparison with DCF, has so
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B. Simulation results and analysis
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in routing table. When search resou
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others through the selective emotio
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such as weather information, techno
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the opening window, a related page
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1) Process context storage areas. I
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V. CONCLUSION In this thesis, sCPU-
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main types of horizontal search env
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Enterprise Portal security provides
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() t = [ S () t S () t ] T N S ,...
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[2] Kumaravel, N., and Kavitha, V.,
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output, so BP network has been wide
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input to the artificial neural netw
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(2) In a process (tokens from outsi
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The reduction process consists of t
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all eight normal vectors are identi
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is B object , and the number of emp
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xi, j y' = εα ( (1 + tanh( )) −
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Error 8000 7000 6000 5000 4000 3000
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Architecture (AMBA) a new bus archi
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In order to ensure the smooth proce
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In this paper, we adopt two Sobel o
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four layers.The far right of the gr
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TABLE II. OPERATIONAL EMPLOYEE TABL
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A. Object-relational Type To audit
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to execution time. Also, DBA would
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Liping Chen .......................
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