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Lecture Notes in Artificial Intelligence 7345 Subseries of Lecture Notes in Computer Science LNAI Series Editors Randy Goebel University of Alberta, Edmonton, Canada Yuzuru Tanaka Hokkaido University, Sapporo, Japan Wolfgang Wahlster DFKI and Saarland University, Saarbrücken, Germany LNAI Founding Series Editor Joerg Siekmann DFKI and Saarland University, Saarbrücken, Germany

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Page 1: Lecture Notes in Artificial Intelligence 7345 - Springer978-3-642-31087-4/1.pdfLecture Notes in Artificial Intelligence 7345 ... Ah-Hwee Tan, Singapore Shyi-Ming Chen, Taiwan

Lecture Notes in Artificial Intelligence 7345

Subseries of Lecture Notes in Computer Science

LNAI Series Editors

Randy GoebelUniversity of Alberta, Edmonton, Canada

Yuzuru TanakaHokkaido University, Sapporo, Japan

Wolfgang WahlsterDFKI and Saarland University, Saarbrücken, Germany

LNAI Founding Series Editor

Joerg SiekmannDFKI and Saarland University, Saarbrücken, Germany

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He Jiang Wei Ding Moonis AliXindong Wu (Eds.)

Advanced Researchin Applied ArtificialIntelligence

25th International Conferenceon Industrial Engineering and OtherApplicationsof Applied Intelligent Systems, IEA/AIE 2012Dalian, China, June 9-12, 2012Proceedings

13

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Series Editors

Randy Goebel, University of Alberta, Edmonton, CanadaJörg Siekmann, University of Saarland, Saarbrücken, GermanyWolfgang Wahlster, DFKI and University of Saarland, Saarbrücken, Germany

Volume Editors

He JiangDalian University of TechnologyDalian, ChinaE-mail: [email protected]

Wei DingUniversity of Massachusetts BostonBoston, MA, USAE-mail: [email protected]

Moonis AliTexas State University–San MarcosSan Marcos, TX, USAE-mail: [email protected]

Xindong WuUniversity of VermontBurlington, VT, USAE-mail: [email protected]

ISSN 0302-9743 e-ISSN 1611-3349ISBN 978-3-642-31086-7 e-ISBN 978-3-642-31087-4DOI 10.1007/978-3-642-31087-4Springer Heidelberg Dordrecht London New York

Library of Congress Control Number: 2012939335

CR Subject Classification (1998): I.2, H.3-4, F.1-2, C.2, I.4-5, H.2.8

LNCS Sublibrary: SL 7 – Artificial Intelligence

© Springer-Verlag Berlin Heidelberg 2012This 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.The use of general descriptive names, registered names, trademarks, etc. in this publication does not imply,even in the absence of a specific statement, that such names are exempt from the relevant protective lawsand regulations and therefore free for general use.

Typesetting: Camera-ready by author, data conversion by Scientific Publishing Services, Chennai, India

Printed on acid-free paper

Springer is part of Springer Science+Business Media (www.springer.com)

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Preface

The last few years have witnessed great advances in applied artificial intelligenceto solve real-life problems. To achieve this accomplishment, researchers havedevoted significant efforts in various fields, from theoretical analysis to industrialpractice.

The International Conference on Industrial, Engineering and Other Applica-tions of Applied Intelligent Systems (IEA/AIE), sponsored by the InternationalSociety of Applied Intelligence (ISAI), concentrates on artificial intelligence, aswell as its applications to complex problem solving. The conference is held an-nually, and has become an important international event in the field of appliedintelligence, where researchers and industrial communities communicate witheach other and promote the development of advanced research in artificial intel-ligence. The 25th IEA/AIE conference was held in Dalian, China, in June 2012.Following the conference tradition, IEA/AIE-2012 provided an international sci-entific forum for researchers in various fields of applied intelligence.

We received 198 papers from all over the world and selected 82 papers forpublication in this volume of LNCS proceedings. Each paper was reviewed by atleast two anonymous referees to assure quality. We would like to take this oppor-tunity to thank the Program Committee members as well as all the reviewers fortheir efforts, which guarantee the high quality of the papers in the proceedings.The selected papers cover theoretical approaches and applications of intelligentsystems from various fields of artificial intelligence.

The papers were presented at the IEA/AIE-2012 conference in several reg-ular as well as 11 special sessions. The topics of the papers in the proceedingsinclude data mining, combinatorial optimization and evolutionary algorithms,AI methods and applications, machine learning, agent-based systems, patternrecognition, cognitive computing, decision-making techniques, mission-criticalapplications, intelligent systems in healthcare, sentiment analysis for Asian lan-guages, social network and its applications, aspects on cognitive computing andintelligent interaction, knowledge-based systems, data mining and computationalintelligence for digital forensics and information assurance, mission-critical ap-plications and case studies of intelligent systems, natural language processingand its applications, spatio-temporal data mining, structured learning and theirapplications, modeling and support of cognitive and affective human processes,and cyber-physical systems for intelligent transportation applications.

The papers in these proceedings highlight the advanced research of appliedartificial intelligence and show the potential directions of novel applications. Wehope that you will find the papers interesting and obtain inspiration for yourresearch.

The conference also invited three outstanding scholars to give plenary keynotespeeches. They were Fei-Yue Wang, from the Chinese Academy of Sciences,

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VI Preface

China, Jong Kim, from Pohang University of Science and Technology, SouthKorea, and Atul Prakash, from the University of Michigan, USA.

In addition to the ISAI and School of Software, Dalian University of Tech-nology, the main sponsors of the conference, our special thanks are due to theAssociation for the Advancement of Artificial Intelligence (AAAI), Associationfor Computing Machinery (ACM/SIGART, SIGKDD), Austrian Association forArtificial Intelligence (OeGAI), Catalan Association for Artificial Intelligence(ACIA), Chinese Association of Artificial Intelligence (CAAI), Dalian Univer-sity of Technology (DUT), European Neural Network Society (ENNS), Interna-tional Neural Network Society (INNS), Italian Artificial Intelligence Association(AI*IA), Japanese Society for Artificial Intelligence (JSAI), Lithuanian Com-puter Society–Artificial Intelligence Section (LIKS-AIS), Slovenian Artificial In-telligence Society (SLAIS), Spanish Society for Artificial Intelligence (AEPIA),Taiwanese Association for Artificial Intelligence (TAAI), Taiwanese Associationfor Consumer Electronics (TACE), and Texas State University-San Marcos.

We wish to thank the members of the Program and Organizing Committeesfor their hard work, especially those who played essential roles: Mingchu Li(Organizing Chair), Wei Ding (Special Session Chair) and the organizers of thespecial sessions: Amitava Das, Catholijn M. Jonker, Chengcui Zhang, Chi-YoHuang, Dan Simovici, Hamido Fujita, Hisham Al-Mubaid, Hong Liu, HonggangWang, Hyuk Cho, Jan Treur, Jie Liu, Lei Chen, Liangliang Cao, Ling Feng, MarkHoogendoorn, Mingjian Tang, Ping Chen, Qingzhong Liu, Tomasz F. Stepinski,Wayne Murray, Wei Ding, Yuanchang Xie, and Zhenggang Wang. We wouldlike to thank the keynote speakers for their inspiring and informative talks.We gratefully thank the authors for their valuable contributions and the otherparticipants of the conference. The conference would not have been possiblewithout their support.

April 2012 He JiangWei Ding

Moonis AliXindong Wu

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Organization

Chairs

General ChairsMoonis Ali Texas State University, San Marcos, USAZhongxuan Luo Dalian University of Technology, ChinaXindong Wu University of Vermont, USA

Program Chairs

Nick Cercone York University, CanadaHe Jiang Dalian University of Technology, ChinaRamamohanarao Kotagiri University of Melbourne, Australia

Organizing Chair

Mingchu Li Dalian University of Technology, China

Special Session Chair

Wei Ding University of Massachusetts Boston, USA

International Organizing Committee

Floriana Esposito, ItalyFevzi Belli, GermanyAh-Hwee Tan, SingaporeShyi-Ming Chen, TaiwanChang-Hwan Lee, South KoreaLakhmi Jain, AustraliaDian-Hui Wang, AustraliaChunsheng Yang, CanadaSalem Benferhat, France

Paul Chung, UKHans Guesgen, The NetherlandsNicolas Garcıa-Pedrajas, SpainGitchang, JapanRichard Dapoigny, FranceAnwar Althari, MalaysiaGustavo Arroyo Figueroa, MexicoMasoud Mohammadian, Australia

Local Organizing Committee

Wenjie Liu, ChinaYan Hu, ChinaTie Qiu, ChinaHong Yu, China

Zhihui Wang, ChinaJifeng Xuan, ChinaZhilei Ren, China

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VIII Organization

Special Sessions

Aspects on Cognitive Computing and Intelligent InteractionHamido FujitaData Mining and Computational Intelligence for Digital Forensics andInformation Assurance (DMCIDFIA)Lei Chen, Hyuk Cho, Qingzhong Liu, and Chengcui ZhangData Mining and Intelligent Systems in HealthcareMingjian Tang and Wayne MurrayDecision-Making Techniques and Innovative Knowledge ManagementChi-Yo Huang and Hamido FujitaMission-Critical Applications and Case Studies of Intelligent SystemsLing FengNatural Language Processing and Its ApplicationsHisham Al-Mubaid and Ping ChenSentiment Analysis for Asian LanguagesAmitava DasSocial Network and Its ApplicationsZhenggang Wang and Liangliang CaoModeling and Support of Cognitive and Affective Human ProcessesMark Hoogendoorn, Catholijn M. Jonker, and Jan TreurSpatio-Temporal Data Mining, Structured Learning and TheirApplicationsTomasz F. Stepinski, Dan Simovici, Wei Ding, and Jie LiuCyber-Physical System for Intelligent Transportation ApplicationsHonggang Wang, Hong Liu, and Yuanchang Xie

Invited Speakers

Fei-Yue Wang Institute of Automation, Chinese Academy ofSciences, China

Jong Kim Pohang University of Science and Technology,South Korea

Atul Prakash University of Michigan, USA

Program Committee

Ah-Hwee Tan, SingaporeAmruth Kumar, USAAntonio Bahamonde, SpainAnwar Althari, MalaysiaAoying Zhou, ChinaBora Kumova, Turkey

C.W. Chan, Hong KongChang-Hwan Lee, South KoreaChien-Chung Chan, USAChih-Cheng Hung, USAChunsheng Yang, CanadaDajun Zeng, China

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Organization IX

Dan Tamir, USADianhui Wang, AustraliaDjamel F.H. Sadok, BrazilDon-Lin Yang, TaiwanDunwei Gong, ChinaEnhong Chen, ChinaEnrique Herrera-Viedma, SpainFevzi Belli, GermanyFloriana Esposito, ItalyGerard Dreyfus, FranceGitchang, JapanGregorio Sainz-Palmero, SpainGustavo Arroyo, MexicoHai Jin, ChinaHaibin Duan, ChinaHaibin Yu, ChinaHans W. Guesgen, New ZealandHasan Selim, TurkeyHiroshi G. Okuno, JapanHongwei Mo, ChinaHumberto Bustince, SpainJyh-Horng Chou, TaiwanKaoru Hirota, JapanKazuhiko Suzuki, JapanKe Tang, ChinaKishan Mehrotra, USALeszek Borzemski, PolandLicheng Jiao, ChinaLin-Yu Tseng, TaiwanMaciej Grzenda, PolandManton Matthews, USA

Maoguo Gong, ChinaMarco Valtorta, USAMark Hoogendoorn, The NetherlandsMingchu Li, ChinaMiquel Sanchez-Marre, USANicolas Garcıa-Pedrajas, SpainPatrick Brezillon, FrancePaul Chung, UKPrabhat Mahanti, CanadaRichard Dapoigny, FranceRuppa Thulasiram, CanadaSalem Benferhat, FranceShaheen Fatima, UKShie-Jue Lee, TaiwanShyi-Ming Chen, TaiwanSrini Ramaswamy, USATakayuki Ito, JapanTetsuo Kinoshita, JapanTibor Bosse, The NetherlandsTim Hendtlass, AustraliaValery Tereshko, UKVic J. Rayward-Smith, UKVincenzo Loia, ItalyWalter Potter, USAWei Ding, USAXingquan Zhu, AustraliaYo-Ping Huang, TaiwanYoungchul Bae, South KoreaYu-Bin Yang, ChinaZhi-Hua Zhou, ChinaZsolt Janos Viharos, Hungary

Special Session Reviewers

Alexandra Balahur, SpainAlison Sutinen, AustraliaAllan Wong, Hong KongBernardete Ribeiro, PortugalBipin Indurkhya, IndiaBjorn Gamback, NorwayCatherine Havasi, USAChoochart Haruechaiyasak, ThailandDawei Wang, USADipankar Das, IndiaEduard Hovy, USA

Erik Cambria, SingaporeEugene Ko, TaiwanFeng Hong, ChinaFiemke Both, The NetherlandsFuji Ren, JapanHaiquan Chen, USAHenry Lo, USAHiroya Takamura, JapanHung-Yu Kao, TaiwanJane You, Hong KongJifeng Xuan, China

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X Organization

Juan Ortega, SpainJun Hakura, JapanJun Sasaki, JapanKun Hua, USALee Nung Kion, MalaysiaLei Zhang, USALuis Soriamorillo, SpainManabu Okumura, JapanMasaki Kurematsu, JapanMatthijs Pontier, The NetherlandsMengyu Qiao, USAMichael Tu, USAMing Yang, USAMinqing Hu, USAMuaz Niazi, UKNarasimha Shashidhar, USANatalie van der Wal, The NetherlandsNiek Wijngaards, The NetherlandsNoriko Kando, JapanPaolo Rosso, SpainPeter-Paul van Maanen,

The NetherlandsRam Basnet, USA

Roberto Revetria, ItalyRosanne Vetro, USAShengli Fu, USASivaji Bandyopadhyay, IndiaSumudu Mendis, AustraliaSwapna Somasundaran, USATangjian Deng, ChinaVirginia Dignum, The NetherlandsXi Li, USAXiaodan Zhuang, USAXiaojun Ruan, USAXin Jin, USAXinfa Hu, USAYan Chen, ChinaYiming Ji, USAYin Shan, AustraliaYingsong Hu, AustraliaYintao Yu, USAYutaka Watanobe, JapanZheng Zeng, USAZhijun Yin, USAZhilei Ren, China

Additional Reviewers

Arlette van Wissen, The NetherlandsCaihua Liu, ChinaCharlotte Gerritsen, The NetherlandsChia-Han Yang, TaiwanChia-Li Lin, TaiwanClaudia d’Amato, ItalyFrancisco Rente, PortugalGabriele Modena, The NetherlandsGuillermo Alonso, USAHueilin Chen, TaiwanIke Azogu, USAJeroen de Man, The NetherlandsJing Sun, ChinaKui Yu, USAMiao Xu, ChinaMichele Nappi, ItalyNataliya Mogles, The Netherlands

Nicola Di Mauro, ItalyPascal Cuxac, FrancePingpeng Yuan, ChinaRan Zheng, ChinaShu-Kung Hu, TaiwanSong Gao, USAWenbin Jiang, ChinaXiangjuan Yao, ChinaYang Mu, USAYao-Huei Huang, TaiwanYenchu Chen, TaiwanYilin Kang, SingaporeYing-Hsun Hung, TaiwanYixin Lu, The NetherlandsYong Zhang, ChinaZhibin Yu, ChinaZhonghang Xia, USA

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Table of Contents

Section 1: Machine Learning Methods

Automatic Detailed Localization of Facial Features . . . . . . . . . . . . . . . . . . . 1Qing He, Ye Duan, and Danyang Zhang

Confidence-Based Incremental Classification for Objects with LimitedAttributes in Vertical Search . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10

Ozer Ozdikis, Pinar Senkul, and Siyamed Sinir

Algorithms for Detecting Outliers via Clustering and Ranks . . . . . . . . . . . 20Huaming Huang, Kishan Mehrotra, and Chilukuri K. Mohan

Grouping Co-occurrence Filtering Based on Bayesian Filtering . . . . . . . . . 30Takuya Yoshimura, Yutaro Fujii, and Takayuki Ito

Model Fusion-Based Batch Learning with Application to Oil SpillsDetection . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40

Chunsheng Yang, Yubin Yang, and Jie Liu

Efficient Determination of Binary Non-negative Vector Neighbors withRegard to Cosine Similarity . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48

Marzena Kryszkiewicz

Automatic Chord Recognition Based on Probabilistic Integration ofAcoustic Features, Bass Sounds, and Chord Transition . . . . . . . . . . . . . . . . 58

Katsutoshi Itoyama, Tetsuya Ogata, and Hiroshi G. Okuno

Section 2: Cyber-Physical System for IntelligentTransportation Applications

A Real-Time Transportation Prediction System . . . . . . . . . . . . . . . . . . . . . . 68Haiguang Li, Zhao Li, Robert T. White, and Xindong Wu

Several Remarks on Mining Frequent Trajectories in Graphs . . . . . . . . . . . 78Henry Z. Lo, Dan A. Simovici, and Wei Ding

Cyber-Physical Integration to Connect Vehicles for TransformedTransportation Safety and Efficiency . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88

Daiheng Ni, Hong Liu, Wei Ding, Yuanchang Xie, Honggang Wang,Hossein Pishro-Nik, and Qian Yu

Multi-modal Remote Sensing System for Transportation InfrastructureInspection and Monitoring . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95

Tzu-Yang Yu, Christopher Niezrecki, and Farhad Ansari

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XII Table of Contents

Section 3: AI Applications

Operational Support in Fish Farming through Case-Based Reasoning . . . 104Axel Tidemann, Finn Olav Bjørnson, and Agnar Aamodt

CPMD: A Matlab Toolbox for Change Point and Constrained MotifDiscovery . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114

Yasser Mohammad, Yoshimasa Ohmoto, and Toyoaki Nishida

Time Invariant Gesture Recognition by Modelling Body PostureSpace . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 124

Binu M. Nair and Vijayan K. Asari

Go beyond the SCOPE: A Temporal Situation Calculus-Based SoftwareTool for Time Petri Nets . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 134

Xing Tan

An Algorithm of Channel Assignment of MAC Layer in Ad HocNetwork Based on Dynamic Game with Perfect and CompleteInformation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 144

Xiaochen Lai, Quanli Liu, Wei Wang, Likun Li, Simin Lu, andDi Wu

A Semantic Approach for Question Analysis . . . . . . . . . . . . . . . . . . . . . . . . . 156Dai Quoc Nguyen, Dat Quoc Nguyen, and Son Bao Pham

Section 4: Evolutionary Algorithms, CombinatorialOptimization

Solving Periodic Event Scheduling Problems with SAT . . . . . . . . . . . . . . . . 166Peter Großmann, Steffen Holldobler, Norbert Manthey,Karl Nachtigall, Jens Opitz, and Peter Steinke

Improving the Performance of Constructive Multi-Start Search UsingRecord-Keeping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 176

Dan E. Tamir, Charles R. King, and Mark McKenney

A Modified Particle Swarm Optimizer for Engineering Design . . . . . . . . . . 187Li Ma and Babak Forouraghi

Homogeneous RF Coil Design Using a GA . . . . . . . . . . . . . . . . . . . . . . . . . . 197Karthik Nadig, William M. Potter, and Walter D. Potter

A Comparative Study of Content Statistics of Coding Regions in anEvolutionary Computation Framework for Gene Prediction . . . . . . . . . . . . 206

Javier Perez-Rodrıguez, Alexis G. Arroyo-Pena, andNicolas Garcıa-Pedrajas

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Table of Contents XIII

Enhancing Point Clouds Accuracy of Small Baseline Images Based onConvex Optimization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 216

My-Ha Le, Andrey Vavilin, Sung-Min Yang, and Kang-Hyun Jo

Subset Quadratic Assignment Problem . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 226He Jiang and Yan Hu

Section 5: Modeling and Support of Cognitive andAffective Human Processes

Forward or Ignore: User Behavior Analysis and Prediction onMicroblogging . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 231

Guanghua Song, Zhitang Li, and Hao Tu

Compositionality of Team Mental Models in Relation to Sharednessand Team Performance . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 242

Catholijn M. Jonker, M. Birna van Riemsdijk,Iris C. van de Kieft, and Maria Gini

Section 6: Data Mining and ComputationalIntelligence for Digital Forensics and InformationAssurance

Feature Selection for Improved Phishing Detection . . . . . . . . . . . . . . . . . . . 252Ram B. Basnet, Andrew H. Sung, and Quingzhong Liu

Identification of Smartphone-Image Source and Manipulation . . . . . . . . . . 262Qingzhong Liu, Xiaodong Li, Lei Chen, Hyuk Cho, Peter A. Cooper,Zhongxue Chen, Mengyu Qiao, and Andrew H. Sung

Situation-Aware on Mobile Phone Using Co-clustering: Algorithms andExtensions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 272

Hyuk Cho, Deepthi Mandava, Qingzhong Liu, Lei Chen,Sangoh Jeong, and Doreen Cheng

Section 7: Natural Language Processing and ItsApplications

Persian Text Classification Based on K-NN Using Wordnet . . . . . . . . . . . . 283Mostafa Parchami, Bahareh Akhtar, and MirHossein Dezfoulian

An Efficient Minimum Vocabulary Construction Algorithm forLanguage Modeling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 292

Sina Lin, Zengchang Qin, Zehua Huang, and Tao Wan

Effective Co-reference Resolution in Clinical Text . . . . . . . . . . . . . . . . . . . . 302David Hinote, Carlos Ramirez, and Ping Chen

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XIV Table of Contents

VAHA: Verbs Associate with Human Activity – A Study on FairyTales . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 313

Hui-Ngo Goh, Lay-Ki Soon, and Su-Cheng Haw

Section 8: Social Network and Its Applications

A Semantic-Based Social Network of Academic Researchers . . . . . . . . . . . 323Elnaz Davoodi and Keivan Kianmehr

Heuristic Resource Discovery in P2P Network . . . . . . . . . . . . . . . . . . . . . . . 333Zheng Chen, Lei Wu, Jiansong Zhang, Xuemei Hu, and Yang Xu

Section 9: Mission-Critical Applications and CaseStudies of Intelligent Systems

The Use of a Local Histogram Feature Vector of Classifying DiffuseLung Opacities in High-Resolution Computed Tomography . . . . . . . . . . . . 343

Yoshihiro Mitani, Yusuke Fujita, Naofumi Matsunaga, andYoshihiko Hamamoto

SOM2CE: Double Self-Organizing Map Based Cluster EnsembleFramework and Its Application in Cancer Gene Expression Profiles . . . . . 351

Zhiwen Yu, Hantao Chen, Jane You, Le Li, and Guoqiang Han

A Context-Aware Enterprise Search Engine for Aviation . . . . . . . . . . . . . . 361Hao Wang, Qingwei Liu, Tangjian Deng, and Ling Feng

Formal Analysis of Aviation Incidents . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 371Tibor Bosse and Nataliya M. Mogles

Section 10: AI Methods

Common Sensorimotor Representation for Self-initiated ImitationLearning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 381

Yasser Mohammad, Yoshimasa Ohmoto, and Toyoaki Nishida

Near-Optimal Evaluation of Network Survivability under Multi-stageAttacks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 391

Frank Yeong-Sung Lin, Pei-Yu Chen, and Quen-Ting Chen

Solving Manufacturing Cell Design Problems Using ConstraintProgramming . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 400

Ricardo Soto, Hakan Kjellerstrand, Juan Gutierrez, Alexis Lopez,Broderick Crawford, and Eric Monfroy

A Pragmatic Approach to Grounding Data Computation for ModalStatements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 407

Wojciech Lorkiewicz, Grzegorz Skorupa, and Radoslaw Katarzyniak

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Table of Contents XV

G-SteX: Greedy Stem Extension for Free-Length Constrained MotifDiscovery . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 417

Yasser Mohammad, Yoshimasa Ohmoto, and Toyoaki Nishida

Section 11: Sentiment Analysis for Asian Languages

Event-Level Textual Emotion Sensing Based on Common ActionDistributions between Event Participants . . . . . . . . . . . . . . . . . . . . . . . . . . . 427

Cheng-Yu Lu, William W.Y. Hsu, and Jan-Ming Ho

Towards a Chinese Common and Common Sense Knowledge Base forSentiment Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 437

Erik Cambria, Amir Hussain, Tariq Durrani, and Jiajun Zhang

Emotion Tracking on Blogs - A Case Study for Bengali . . . . . . . . . . . . . . . 447Dipankar Das, Sagnik Roy, and Sivaji Bandyopadhyay

Section 12: Aspects on Cognitive Computing andIntelligent Interaction

Pseudo-code Programming of Designer Activities in Development ofSoftware Intensive Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 457

Petr Sosnin

Intelligent Aspects of AIDA Programming . . . . . . . . . . . . . . . . . . . . . . . . . . 467Yutaka Watanobe, Lin Gu, and Nikolay Mirenkov

Improving Healthcare Using Cognitive Computing Based Software: AnApplication in Emergency Situation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 477

Roberto Revetria, Alessandro Catania, Lucia Cassettari,Guido Guizzi, Elpidio Romano, Teresa Murino,Giovanni Improta, and Hamido Fujita

Detecting Changing Emotions in Natural Speech . . . . . . . . . . . . . . . . . . . . . 491Wojtek Kowalczyk and C. Natalie van der Wal

An Ambient Agent Model for Support of Informal Caregivers duringStress . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 501

Azizi Ab Aziz, Jan Treur, and C. Natalie van der Wal

Interruption Theory for Improving Work Efficiency by ReasoningWorkflow . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 514

Kohei Sugawara and Hamido Fujita

Action Selection Using Theory of Mind: A Case Study in the Domainof Fighter Pilot Training . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 521

Mark Hoogendoorn and Robbert-Jan Merk

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Intelligent Decision-Making Approach Based on Fuzzy-CausalKnowledge and Reasoning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 534

Alejandro Pena-Ayala and Riichiro Mizoguchi

Section 13: Spatio-temporal Data Mining, StructuredLearning and Their Applications

Camera Motion Estimation and Moving Object Detection Based onLocal Feature Tracking . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 544

Andrey Vavilin, Le-My Ha, and Kang-Hyun Jo

Optimization of Criminal HotSpots Based on Underlying CrimeControlling Factors Using Geospatial Discriminative Pattern . . . . . . . . . . 553

Dawei Wang, Wei Ding, Tomasz Stepinski, Josue Salazar,Henry Lo, and Melissa Morabito

Spatio-temporal Reasoning with Qualitative and QuantitativeInformation about Constraints and Approximations . . . . . . . . . . . . . . . . . . 563

Anthony Y. Chang

Section 14: Decision Making and Knowledge BasedSystems

A Human-Like Agent Model for Attribution of Actions UsingOwnership States and Inverse Mirroring . . . . . . . . . . . . . . . . . . . . . . . . . . . . 574

Jan Treur and Muhammad Umair

Fault Resolution Support Based on Activated Knowledge andInformation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 586

Kazuto Sasai, Gen Kitagata, and Tetsuo Kinoshita

Creating User’s Knowledge Space from Various Information Usages toSupport Human Recollection . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 596

Harumi Murakami, Kenta Mitsuhashi, and Keita Senba

Section 15: Pattern Recognition

A Robust Approach to Digit Recognition in Noisy Environments . . . . . . . 606O. Matei, P.C. Pop, and H. Valean

A One-Phase Method for Mining High Utility Mobile SequentialPatterns in Mobile Commerce Environments . . . . . . . . . . . . . . . . . . . . . . . . 616

Bai-En Shie, Ji-Hong Cheng, Kun-Ta Chuang, and Vincent S. Tseng

The Use of Shapley Value to Power Allocation Games in CognitiveRadio Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 627

Jerzy Martyna

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Mining Time-Gap Sequential Patterns . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 637Show-Jane Yen and Yue-Shi Lee

Intelligent Post-processing via Bounding-Box-Based MorphologicalOperations for Moving Objects Detection . . . . . . . . . . . . . . . . . . . . . . . . . . . 647

Chun-Ming Tsai

Section 16: Agent Based Systems

An Integrated Agent Model for Attention and Functional State . . . . . . . . 658Tibor Bosse, Rianne van Lambalgen, Peter-Paul van Maanen, andJan Treur

Tracking and Constraining Authorization Provenance . . . . . . . . . . . . . . . . . 669Jinwei Hu, Khaled M. Khan, Yun Bai, and Yan Zhang

A Framework for Collaborative Business Development Based on MiddleAgent Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 679

Hiroki Nakagawa, Akihiko Nagai, and Takayuki Ito

Agents’ Cooperation Based on Long-Term Reciprocal Altruism . . . . . . . . 689Xiaowei Zhao, Haoxiang Xia, Hong Yu, and Linlin Tian

A Vietnamese Text-Based Conversational Agent . . . . . . . . . . . . . . . . . . . . . 699Dai Quoc Nguyen, Dat Quoc Nguyen, and Son Bao Pham

Section 17: Decision Making Techniques andInnovative Knowledge Management

Using DRSA and Fuzzy Measure to Enlighten Policy Making forEnhancing National Competitiveness by WCY 2011 . . . . . . . . . . . . . . . . . . 709

Yu-Chien Ko, Hamido Fujita, and Gwo-Hshiung Tzeng

Evaluating Top Information Technology Firms in Standard and Poor’s500 Index by Using a Multiple Objective Programming Based DataEnvelopment Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 720

Chi-Yo Huang, Po-Yen Wang, and Gwo-Hshiung Tzeng

Using the DEMATEL Based Network Process and Structural EquationModeling Methods for Deriving Factors Influencing the Acceptance ofSmart Phone Operation Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 731

Chi-Yo Huang, Ming-Jenn Wu, Yu-Wei Liu, andGwo-Hshiung Tzeng

Determine the Service Value Position for Package Tour Plan Based ona Novel MCDM Approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 742

Chia-Li Lin

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Section 18: Machine Learning Applications

Incremental 3D Reconstruction Using Bayesian Learning . . . . . . . . . . . . . . 754Ze-Huan Yuan, Lu Tong, Hao-Yi Zhou, Chen Bin, and Jia-Ning Li

A Stochastic Search on the Line-Based Solution to DiscretizedEstimation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 764

Anis Yazidi, Ole-Christoffer Granmo, and B. John Oommen

A Hierarchical Learning Scheme for Solving the Stochastic PointLocation Problem . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 774

Anis Yazidi, Ole-Christoffer Granmo, B. John Oommen, andMorten Goodwin

Discretized Bayesian Pursuit – A New Scheme for ReinforcementLearning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 784

Xuan Zhang, Ole-Christoffer Granmo, and B. John Oommen

A Method of Software Defects Mining Based on Static Analysis . . . . . . . . 794Xiaochen Lai, Kuanjiu Zhou, Likun Li, Lemin Tang,Yanshuang Yao, and Liang Yu

An Extended ISOMAP by Enhancing Similarity for Clustering . . . . . . . . 808Hong Yu, Xianchao Zhang, Yuansheng Yang, Xiaowei Zhao, andLei Cai

Movie Keyframe Retrieval Based on Cross-Media Correlation Detectionand Context Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 816

Yukang Jin, Tong Lu, and Feng Su

Author Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 827