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  • Lecture Notes in Artificial Intelligence 5855Edited by R. Goebel, J. Siekmann, and W. Wahlster

    Subseries of Lecture Notes in Computer Science

  • Hepu Deng Lanzhou WangFu Lee Wang Jingsheng Lei (Eds.)

    Artificial Intelligenceand ComputationalIntelligenceInternational Conference, AICI 2009Shanghai, China, November 7-8, 2009Proceedings

    13

  • Series EditorsRandy Goebel, University of Alberta, Edmonton, CanadaJrg Siekmann, University of Saarland, Saarbrcken, GermanyWolfgang Wahlster, DFKI and University of Saarland, Saarbrcken, Germany

    Volume EditorsHepu DengRMIT University, School of Business Information TechnologyCity Campus, 124 La Trobe Street, Melbourne, Victoria 3000, AustraliaE-mail: hepu.deng@rmit.edu.au

    Lanzhou WangChina Jiliang University, College of Metrological Technology and EngineeringHangzhou 310018, Zhejiang, ChinaE-mail: lzwang@cjlu.edu.cn

    Fu Lee WangCity University of Hong Kong, Department of Computer Science83 Tat Chee Avenue, Kowloon Tong, Hong Kong, ChinaE-mail: flwang@cityu.edu.hk

    Jingsheng LeiHainan University, College of Information Science and TechnologyHaikou 570228, ChinaE-mail: jshlei@hainu.edu.cn

    Library of Congress Control Number: 2009936961

    CR Subject Classification (1998): I.2, F.2, I.5, I.4, J.3, J.2

    LNCS Sublibrary: SL 7 Artificial Intelligence

    ISSN 0302-9743ISBN-10 3-642-05252-5 Springer Berlin Heidelberg New YorkISBN-13 978-3-642-05252-1 Springer Berlin Heidelberg New York

    This work is subject to copyright. All rights are reserved, whether the whole or part of the material isconcerned, specifically the rights of translation, reprinting, re-use of illustrations, recitation, broadcasting,reproduction on microfilms or in any other way, and storage in data banks. Duplication of this publicationor parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965,in its current version, and permission for use must always be obtained from Springer. Violations are liableto prosecution under the German Copyright Law.springer.com

    Springer-Verlag Berlin Heidelberg 2009Printed in Germany

    Typesetting: Camera-ready by author, data conversion by Scientific Publishing Services, Chennai, IndiaPrinted on acid-free paper SPIN: 12781256 06/3180 5 4 3 2 1 0

  • Preface

    The 2009 International Conference on Artificial Intelligence and Computational Intel-ligence (AICI 2009) was held during November 78, 2009 in Shanghai, China. The technical program of the conference reflects the tremendous growth in the fields of artificial intelligence and computational intelligence with contributions from a large number of participants around the world.

    AICI 2009 received 1,203 submissions from 20 countries and regions. After rigor-ous reviews, 79 high-quality papers were selected for this volume, representing an acceptance rate of 6.6%. These selected papers cover many new developments and their applications in the fields of artificial intelligence and computational intelligence. Their publications reflect a sustainable interest from the wide academic community worldwide in tirelessly pursuing new solutions through effective utilizations of artifi-cial intelligence and computational intelligence to real-world problems.

    We would like to specially thank all the committee members and reviewers, without whose timely help it would have been impossible to review all the submitted papers to assemble this program. We also would like take this opportunity to express our heartfelt appreciation for all those who worked together in organizing this conference, establish-ing the technical programs and running the conference meetings. We greatly appreciate the authors, speakers, invited session organizers, session Chairs, and others who made this conference possible. Lastly, we would like to express our gratitude to the Shanghai University of Electric Power for the sponsorship and support of the conference.

    We trust that the participants of this conference had opportunities to meet both old and new friends from all over the world, to exchange ideas, to initiate collaborations in research, to develop lasting friendships, as well as to visit places in Shanghai and China.

    November 2009

    Hepu Deng Lanzhou Wang

    Fu Lee Wang Jingsheng Lei

  • Organization

    Organizing Committee

    General Co-chairs

    Jialin Cao Shanghai University of Electric Power, China Jingsheng Lei Hainan University, China

    Program Committee

    Co-chairs

    Hepu Deng RMIT University, Australia Lanzhou Wang China JILIANG University, China

    Local Arrangements

    Chair

    Hao Zhang Shanghai University of Electric Power, China

    Proceedings

    Co-chairs

    Fu Lee Wang City University of Hong Kong, Hong Kong Jun Yang Shanghai University of Electric Power, China

    Publicity

    Chair

    Tim Kovacs University of Bristol, UK

    Sponsorship

    Chair

    Zhiyu Zhou Zhejiang Sci-Tech University, China

  • Organization VIII

    Program Committee

    Ahmad Abareshi RMIT University, Australia Stephen Burgess Victoria University, Australia Jennie Carroll RMIT University, Australia Eng Chew University of Technology Sydney, Australia Vanessa Cooper RMIT University, Australia Minxia Luo China Jiliang University, China Tayyab Maqsood RMIT University, Australia Ravi Mayasandra RMIT University, Australia Elspeth McKay RMIT University, Australia Alemayehu Molla RMIT University, Australia Konrad Peszynski RMIT University, Australia Siddhi Pittayachawan RMIT University, Australia Ian Sadler Victoria University, Australia Pradip Sarkar RMIT University, Australia Carmine Sellitto Victoria University, Australia Peter Shackleton Victoria University, Australia Sitalakshmi Venkatraman University of Ballarat, Australia Leslie Young RMIT University, Australia Adil Bagirov University of Ballarat, Australia Philip Branch Swinburne University of Technology, Australia Feilong Cao China Jiliang University, China Maple Carsten University of Bedfordshire, UK Caroline Chan Deakin University, Australia Jinjun Chen Swinburne University of Technology, Australia Richard Dazeley University of Ballarat, Australia Yi-Hua Fan Chung Yuan Christian University Taiwan, Taiwan Richter Hendrik HTWK Leipzig, Germany Furutani Hiroshi University of Miyazaki, Japan Bae Hyeon Pusan National University, Korea Tae-Ryong Jeon Pusan National University, Korea Sungshin Kim Pusan National University, Korea Wei Lai Swinburne University of Technology, Australia Edmonds Lau Swinburne University of Technology, Australia Qiang Li University of Calgary, Canada Xiaodong Li RMIT University, Australia Kuoming Lin Kainan University, Taiwan YangCheng Lin National Dong Hwa University, Taiwan An-Feng Liu Central South University, China Liping Ma University of Ballarat, Australia Costa Marly Federal University of the Amazon, Brazil Jamie Mustard Deakin University, Australia Syed Nasirin Brunel University, UK Lemai Nguyen Deakin University, Australia Heping Pan University of Ballarat, Australia

  • Organization IX

    Craig Parker Deakin University, Australia Wei Peng RMIT University, Australia Adi Prananto Swinburne University of Technology, Australia Takahashi Ryouei Hachinohe Institute of Technology, Japan Cheol Park Soon Chonbuk National University, Korea Andrew Stranier University of Ballarat, Australia Zhaohao Sun University of Ballarat, Australia Sleesongsom Suwin Chiangrai College, Thailand Arthur Tatnall Victoria University, Australia Luba Torline Deakin University, Australia Schetinin Vitaly University of Bedfordshire, UK Zhichun Wang Tianjin University, China Shengxiang Yang University of Leicester, UK Chung-Hsing Yeh Monash University, Australia Yubo Yuan China Jiliang University, China Hossein Zadeh RMIT University, Australia Dengsheng Zhang Monash University, Australia Irene Zhang Victoria University, Australia Jianying Zhang Cancer Victoria, Australia Tony Zhang Qingdao Univesity, China Weijian Zhao China Jiliang University, China Yan-Gang Zhao Nagoya Institute of Technology, Japan Xiaohui Zhao Swinburne University of Technology, Australia

    Reviewers

    Adil Bagirov Ahmad Abareshi Bai ShiZhong Bi Shuoben Bo Rui-Feng Cai Weihua Cai Zhihua Cai Kun Cao Yang Cao Qingnian Cao Guang-Yi Cao Jianrong Carmine Sellitto Chai Zhonglin Chang Chunguang Chen Yong Liang Chen Haiming Chen Yong Chen Pengnian

    Chen Lifei Chen Xiang Chen Ling Chen Dongming Chen Ming Chen Ting Chen Yuquan Chen Ailing Chen Haizhen Chu Fenghong Chung-Hsing Yeh Congping Chen Cui Shigang Cui Mingyi DeJun Mu Deng Liguo Deng-ao Li Ding Yi-jie Dingjun Chen

    Du Junping Du Xufeng Duan Yong Duan Rongxing Fan Jiancong Fan Xikun Fan Shurui Fang Zhimin Fang Gu Fuzhen Huang Gan Zhaohui Gan Rongwei Gao chunrong Gao Xiaoqiang Gao Jiaquan Gao Jun Gao Boyong Gu Xuejing Gu Tao

  • Organization X

    Guang Yang Guo Li Jun Guo Yecai Han Fei Hao Xiuqing He Hongjiang He Shengping He Bingwei He Xingshi He Zhiwei He Yue Hendrik Richter Ho Zih-Ping Hu Fu Yuan Huang Pei-Hwa Huang Zhiwei Huang Rongbo Huang Nantian Ji Genlin Ji Tingwei Ji Xia Ji Chang-Ming Jia Qiuling Jia Fang Jiang Jiafu Jianying Zhang Jiao Feng Jiechun Chen Jingbo Xia Jingfang Liu Jin-min Wang Ju-min Zhao Koga Takanori Kwok Ngai Ming Lai Jiajun Lai Lien-Fu Lai-Cheng Cao Lei Zhang Lei Xiujuan Leng Cuiping Li Yu Li Xinyun Li Xiao Li Shun-Ming Li Yun Li Haiming Li Chengjia

    Li Xiang Li Ming Li Guangwen Li Guohou Li Hongjiao Liang Benliang Lin Yuesong Lin Dong Mei Lin Chen Lin Jipeng Liu Jun Liu Zhijie Liu Xiaoji Liu Hui Liu Anping Liu Zhide Liu Jihong Liu Heng Liu Jin Liu Wenyu Liu Dianting Liu Lei Liu Jin Liu Jinglei Liu Hui Liu Guangli Liu Yang Liu Ying Liu Hao Liu Jian Liu Ying-chun Lu Yaosheng Lu Bin Lu Yuzheng Lu Huijuan Ma Xianmin Matsuhisa Takashi Meng Jianliang Miao Xuna Ni Jian-jun Nie Qing Ning Ning Niu Junyu Ouyang Zhonghui Pan Zhenghua Pan Jingchang Pan Defeng

    Peng Qinke Perng Chyuan Phaisangittisagul Ekachai Qiang Niu Qiang Li Qiao Mei Qiu Jiqing Rao Congjun Ren Li Ren Kaijun Ren Chunyu Richard Dazeley Ruiming Jia Sang Yan-fang Sanyou Zeng Shen Xiaojing Shen Xiaohua Sheng Zhongqi Sheng Xueli Shi Qian Shi Guoliang Shi Xuerong Shuai Ren Si Chun-di Sitalakshmi Venkatraman Song Xiaoyu Su H.T. Sun Zhanquan Sun Yanxia Sun Quanping Sun Feixian Sun Ziwen Suwin Sleesongsom Tan Junshan Tan Chunqiao Tang Xianghong Tao Luo Tao Zhengru Tao Zhang Tian Fu-qing Tong Zhi-Wei Uchino Eiji Ullrich Carsten Wan Li Wang Cheng Wang Hao Wang Li-dong

  • Organization XI

    Wang Hao Wang Li-dong Wang Jie-sheng Wang Guoqiang Wang Caihong Wang Jingmin Wang Shuangcheng Wang Chujiao Wang Junwei Wang XiaoMing Wang Xin Wang Feng Wang Yuanqing Wang Yong Wang Xiang Wang Yu-Jie Wang Yufei Wang Hongsheng Wang Xiuqing Wang Wenchuan Wang Dong Wang Haibo Wang Dawei Wang Hui Wang Junnian Wang Xuhong Wang Xiaolu Wan-gan Song Wei Peng Wen Mi Wenjun Liu Wu Xia Wu Hongli Wu Xiaojun Wu Xiaojin

    Wu Xiaoqin Wu Zhangjun Wu Da-sheng Xi Liang Xia Qingjun Xiao Xiaohong Xiao Hongying Xie Yanmin Xie Zhenping Xie Jianhong Xiuli Yu Xiumin Yang Xiuxia Yang Xizhong Shen Xu Jie Xu Hailong Xu Hua Xu Xinsheng Xu Yan Xu Zhangyan Xue Heru Xue Yang Xue Heng Xueqin Lu Yan Ping Yan Wang Yan Tie Yang Genghuang Yang Ming Yang Jiadong Yang Xiaobing Yang Jun Yang Liping Yang-Cheng Lin Yao Zhijun

    Ye Feiyue Yi-Hua Fan Yin Chunxia Yong Yang Yong Qidong You Xiao-ming You-hua Jiang Yu Xinqiao Yuhui Zhao Yuyi Zhai Zhan Yong-zhao Zhang Huaixiang Zhang Meng Zhang Sumin Zhang Yizhuo Zhang Erhu Zhang Jianxin Zhang Caiqing Zhang Jian Zhang Yanjie Zhang Dabin Zhang Xiang Zhang Jingjun Zhang Zhenya Zhang Ke Zhang Xuejun Zhang Xuehua Zhang Junran Zhang Xueming Zhang Changjiang Zhao Ping Zhao Fu Zhao Liaoying Zhao Hui

  • Table of Contents

    Support Vector Machine

    An Experimental Research on Vector Control of Induction Motor Basedon Simple Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1

    Yinhai Zhang, Jinfa Ge, Weixia Liu, and Qin Wang

    Rough Set Theory

    An United Extended Rough Set Model Based on Developed Set PairAnalysis Method . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9

    Xia Ji, Longshu Li, Shengbing Chen, and Yi Xu

    Learning Rules from Pairwise Comparison Table . . . . . . . . . . . . . . . . . . . . . 18Liping An and Lingyun Tong

    Particle Swarm Optimization

    A Novel Hybrid Particle Swarm Optimization for Multi-ObjectiveProblems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28

    Siwei Jiang and Zhihua Cai

    Research on Constrained Layout Optimization Problem UsingMulti-adaptive Strategies Particle Swarm Optimizer . . . . . . . . . . . . . . . . . . 38

    Kaiyou Lei

    ARIMA Model Estimated by Particle Swarm Optimization Algorithmfor Consumer Price Index Forecasting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48

    Hongjie Wang and Weigang Zhao

    Neural Computation

    A Uniform Solution to HPP in Terms of Membrane Computing . . . . . . . . 59Haizhu Chen and Zhongshi He

    Self-organizing Quantum Evolutionary Algorithm Based on QuantumDynamic Mechanism . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69

    Sheng Liu and Xiaoming You

    Intelligent Agents and Systems

    Can Moral Hazard Be Resolved by Common-Knowledge inS4n-Knowledge? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78

    Takashi Matsuhisa

  • XIV Table of Contents

    Casuist BDI-Agent: A New Extended BDI Architecture with theCapability of Ethical Reasoning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86

    Ali Reza Honarvar and Nasser Ghasem-Aghaee

    Information Security

    Research of Trust Chain of Operating System . . . . . . . . . . . . . . . . . . . . . . . 96Hongjiao Li and Xiuxia Tian

    A Novel Application for Text Watermarking in Digital Reading . . . . . . . . 103Jin Zhang, Qing-cheng Li, Cong Wang, and Ji Fang

    Immune Computation

    Optimization of Real-Valued Self Set for Anomaly Detection UsingGaussian Distribution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112

    Liang Xi, Fengbin Zhang, and Dawei Wang

    Genetic Algorithms

    A GP Process Mining Approach from a Structural Perspective . . . . . . . . . 121Anhua Wang, Weidong Zhao, Chongchen Chen, and Haifeng Wu

    Eects of Diversity on Optimality in GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131Glen MacDonald and Gu Fang

    Dynamic Crossover and Mutation Genetic Algorithm Based onExpansion Sampling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141

    Min Dong and Yan Wu

    Multidisciplinary Optimization of Airborne Radome Using GeneticAlgorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 150

    Xinggang Tang, Weihong Zhang, and Jihong Zhu

    Global Similarity and Local Variance in Human Gene CoexpressionNetworks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 159

    Ivan Krivosheev, Lei Du, Hongzhi Wang, Shaojun Zhang,Yadong Wang, and Xia Li

    A Grid Based Cooperative Co-evolutionary Multi-ObjectiveAlgorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 167

    Sepehr Meshkinfam Fard, Ali Hamzeh, and Koorush Ziarati

    Fuzzy Computation

    Fuzzy Modeling for Analysis of Load Curve in Power System . . . . . . . . . . 176Pei-Hwa Huang, Ta-Hsiu Tseng, Chien-Heng Liu, andGuang-Zhong Fan

  • Table of Contents XV

    Biological Computing

    Honey Bee Mating Optimization Vector Quantization Scheme in ImageCompression . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 185

    Ming-Huwi Horng

    Towards a Population Dynamics Theory for Evolutionary Computing:Learning from Biological Population Dynamics in Nature . . . . . . . . . . . . . 195

    Zhanshan (Sam) Ma

    Applications of Computational Intelligence

    Application of Improved Particle Swarm Optimization Algorithm inUCAV Path Planning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 206

    Qianzhi Ma and Xiujuan Lei

    Modal Analysis for Connecting Rod of Reciprocating Mud Pump . . . . . . 215Zhiwei Tong, Hao Liu, and Fengxia Zhu

    A Time-History Analysis Algorithm of a Non-viscously Damped SystemUsing Gauss Precise Integration . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 221

    Hongyu Shen and Zhongdong Duan

    Application of LSSVM-PSO to Load Identication in FrequencyDomain . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 231

    Dike Hu, Wentao Mao, Jinwei Zhao, and Guirong Yan

    Local Model Networks for the Optimization of a Tablet ProductionProcess . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 241

    Benjamin Hartmann, Oliver Nelles, Ales Belic, andDamjana ZupancicBozic

    Ant Colony Algorithm

    Structure Design of the 3-D Braided Composite Based on a HybridOptimization Algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 260

    Ke Zhang

    Robotics

    Robot Virtual Assembly Based on Collision Detection in Java3D . . . . . . . 270Peihua Chen, Qixin Cao, Charles Lo, Zhen Zhang, and Yang Yang

    Greenhouse Using LabVIEW . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 251R. Alimardani, P. Javadikia, A. Tabatabaeefar, M. Omid, andM. Fathi

    Retracted: Implementation of On/O Controller for Automation of

  • XVI Table of Contents

    Robust Mobile Robot Localization by Tracking Natural Landmarks . . . . 278Xiaowei Feng, Shuai Guo, Xianhua Li, and Yongyi He

    Multi-Robot Dynamic Task Allocation Using Modied Ant ColonySystem . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 288

    Zhenzhen Xu, Feng Xia, and Xianchao Zhang

    Pattern Recognition

    A Novel Character Recognition Algorithm Based on Hidden MarkovModels . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 298

    Yu Wang, Xueye Wei, Lei Han, and Xiaojin Wu

    New Algorithms for Complex Fiber Image Recognition . . . . . . . . . . . . . . . 306Yan Ma and Shun-bao Li

    Laplacian Discriminant Projection Based on Anity Propagation . . . . . . 313Xueping Chang and Zhonglong Zheng

    An Improved Fast ICA Algorithm for IR Objects Recognition . . . . . . . . . 322Jin Liu and Hong Bing Ji

    Facial Feature Extraction Based on Wavelet Transform . . . . . . . . . . . . . . . 330Nguyen Viet Hung

    Fast Iris Segmentation by Rotation Average Analysis ofIntensity-Inversed Image . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 340

    Wei Li and Lin-Hua Jiang

    Neural Networks

    A New Criterion for Global Asymptotic Stability of Multi-delayedNeural Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 350

    Kaiyu Liu and Hongqiang Zhang

    An Improved Approach Combining Random PSO with BP forFeedforward Neural Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 361

    Yu Cui, Shi-Guang Ju, Fei Han, and Tong-Yue Gu

    Fuzzy Multiresolution Neural Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 369Li Ying, Shang Qigang, and Lei Na

    Research on Nonlinear Time Series Forecasting of Time-Delay NNEmbedded with Bayesian Regularization . . . . . . . . . . . . . . . . . . . . . . . . . . . . 379

    Weijin Jiang, Yusheng Xu, Yuhui Xu, and Jianmin Wang

    An Adaptive Learning Algorithm for Supervised Neural Network withContour Preserving Classication . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 389

    Piyabute Fuangkhon and Thitipong Tanprasert

  • Table of Contents XVII

    Natural Language Processing

    Application Study of Hidden Markov Model and Maximum Entropy inText Information Extraction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 399

    Rong Li, Li-ying Liu, He-fang Fu, and Jia-heng Zheng

    Automatic Expansion of Chinese Abbreviations by Web Mining . . . . . . . . 408Hui Liu, Yuquan Chen, and Lei Liu

    Adaptive Maximum Marginal Relevance Based Multi-emailSummarization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 417

    Baoxun Wang, Bingquan Liu, Chengjie Sun, Xiaolong Wang, andBo Li

    Semantic Relation Extraction by Automatically Constructed Rules . . . . . 425Rongfeng Huang

    Machine Vision

    Object Recognition Based on Ecient Sub-window Search . . . . . . . . . . . . 435Qing Nie, Shouyi Zhan, and Weiming Li

    Machine Learning

    A Multi-Scale Algorithm for Grato Advertisement Detection fromImages of Real Estate . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 444

    Jun Yang and Shi-jiao Zhu

    An Improved Path-Based Transductive Support Vector MachinesAlgorithm for Blind Steganalysis Classication . . . . . . . . . . . . . . . . . . . . . . . 453

    Xue Zhang and ShangPing Zhong

    Logic Reasoning and Theorem-Proving

    Resolution with Limited Factoring . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 463Dafa Li

    Knowledge Representation and Acquisition

    Formal Analysis of an Airplane Accident in N-Labeled Calculus . . . . . . 469Tetsuya Mizutani, Shigeru Igarashi, Yasuwo Ikeda, andMasayuki Shio

    Using Concept Space to Verify Hyponymy in Building a HyponymyLexicon . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 479

    Lei Liu, Sen Zhang, Lu Hong Diao, Shu Ying Yan, and Cun Gen Cao

  • XVIII Table of Contents

    Advanced Self-adaptation Learning and Inference Techniques for FuzzyPetri Net Expert System Units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 487

    Zipeng Zhang, Shuqing Wang, and Xiaohui Yuan

    Intelligent Signal Processing

    MIMO Instantaneous Blind Identication Based on Second-OrderTemporal Structure and Newtons Method . . . . . . . . . . . . . . . . . . . . . . . . . . 497

    Xizhong Shen and Guang Meng

    Seed Point Detection of Multiple Cancers Based on Empirical DomainKnowledge and K-means in Ultrasound Breast Image . . . . . . . . . . . . . . . . . 507

    Lock-Jo Koo, Min-Suk Ko, Hee-Won Jo, Sang-Chul Park, andGi-Nam Wang

    Intelligent Scheduling

    A Controlled Scheduling Algorithm Decreasing the Incidence ofStarvation in Grid Environments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 517

    Minna Liu, Kairi Ou, Yuelong Zhao, and Tian Sun

    A Space Allocation Algorithm for Minimal Makespan in SpaceScheduling Problems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 526

    Chyuan Perng, Yi-Chiuan Lai, Zih-Ping Ho, and Chin-Lun Ouyang

    Intelligent Information Retrieval

    A New Approach for Chest CT Image Retrieval . . . . . . . . . . . . . . . . . . . . . . 535Li-dong Wang and Zhou-xiang Shou

    Intelligent Information Fusion

    Depth Extension for Multiple Focused Images by Adaptive PointSpread Function . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 544

    Yuanqing Wang and Yijun Mei

    Intelligent Image Processing

    Image Annotation Using Sub-block Energy of Color Correlograms . . . . . . 555Jingsheng Lei

    Heuristic Searching Methods

    Optimal Evolutionary-Based Deployment of Mobile Sensor Networks . . . 563Niusha Shaabady and Mohammad Ali Nekoui

  • Table of Contents XIX

    Fuzzy Logic and Soft Computing

    Research of Current Control Strategy of Hybrid Active Power FilterBased on Fuzzy Recursive Integral PI Control Algorithm . . . . . . . . . . . . . . 568

    Zhong Tang and Daifa Liao

    A Fuzzy Query Mechanism for Human Resource Websites . . . . . . . . . . . . . 579Lien-Fu Lai, Chao-Chin Wu, Liang-Tsung Huang, andJung-Chih Kuo

    Selecting Cooperative Enterprise in Dynamic Enterprise Alliance Basedon Fuzzy Comprehensive Evaluation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 590

    Yan Li, Guoxing Zhang, and Jun Liu

    Distributed AI and Agents

    An Evolutionary Solution for Cooperative and Competitive MobileAgents . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 599

    Jiancong Fan, Jiuhong Ruan, and Yongquan Liang

    Towards an Extended Evolutionary Game Theory with SurvivalAnalysis and Agreement Algorithms for Modeling Uncertainty,Vulnerability, and Deception . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 608

    Zhanshan (Sam) Ma

    Data Mining and Knowledge Discovering

    Uncovering Overlap Community Structure in Complex Networks UsingParticle Competition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 619

    Fabricio Breve, Liang Zhao, and Marcos Quiles

    Semi-supervised Classication Based on Clustering Ensembles . . . . . . . . . 629Si Chen, Gongde Guo, and Lifei Chen

    Research on a Novel Data Mining Method Based on the Rough Setsand Neural Network . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 639

    Weijin Jiang, Yusheng Xu, Jing He, Dejia Shi, and Yuhui Xu

    Applications of Articial Intelligence

    The Techno-Economic Analysis of Reducing NOx of Industrial Boilerby Recycled Flue Gas . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 649

    Caiqing Zhang, Wenpei Hu, Yu Sun, and Bo Yang

    Urban Trac Flow Forecasting Based on Adaptive HingingHyperplanes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 658

    Yang Lu, Jianming Hu, Jun Xu, and Shuning Wang

  • XX Table of Contents

    Turbine Fault Diagnosis Based on Fuzzy Theory and SVM . . . . . . . . . . . . 668Fei Xia, Hao Zhang, Daogang Peng, Hui Li, and Yikang Su

    Architecture of Multiple Algorithm Integration for Real-Time ImageUnderstanding Application . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 677

    Bobo Duan, Chunyang Yang, Wei Liu, and Huai Yuan

    Others

    Formalizing the Modeling Process of Physical Systems in MBD . . . . . . . . 685Nan Wang, Dantong OuYang, Shanwu Sun, and Chengli Zhao

    Study on Stochastic Programming Methods Based on SynthesizingEect . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 696

    FaChao Li, XianLei Liu, and ChenXia Jin

    Rate Control, Routing Algorithm and Scheduling for Multicast withNetwork Coding in Ad Hoc Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 705

    Xu Na Miao and Xian Wei Zhou

    Design and Experimental Study on Spinning Solid Rocket Motor . . . . . . . 715Heng Xue, Chunlan Jiang, and Zaicheng Wang

    An Energy-Based Method for Computing Radial Stiness of SingleArchimedes Spiral Plane Supporting Spring . . . . . . . . . . . . . . . . . . . . . . . . . 724

    Enlai Zheng, Fang Jia, Changhui Lu, He Chen, and Xin Ji

    Author Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 735

    Erratum

    Greenhouse Using LabVIEW . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .R. Alimardani, P. Javadikia, A. Tabatabaeefar, M. Omid, andM. Fathi

    Implementation of On/O Controller for Automation ofE1

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