The 2014 Tenth International Conference on Intelligent

Computing

August 3-6, 2014, Taiyuan, China

1

The 2014 Tenth International Conference on

Intelligent Computing

FINAL PROGRAM

August 3-6, 2014 Taiyuan, Shanxi, China

2

Outlines

Welcome Message 4

ICIC2014 Organization 5

Sponsors 8

The Location of Conference Venue in Taiyuan 9

General Information 11

Schedule Overview 13

Introduction of Keynote Speakers 14

Introduction of Tutorials 18

Parallel Sessions for Oral Presentations 22

Detailed Parallel Sessions for Oral Presentations 23

3

WELCOME FROM THE ORGANIZERS

The International Conference on Intelligent Computing (ICIC) was formed to provide an annual forum dedicated to the emerging and challenging topics in artificial intelligence, machine learning, bioinformatics, and computational biology, etc. It aims to bring together researchers and practitioners from both academia and industry to share ideas, problems and solutions related to the multifaceted aspects of intelligent computing.

ICIC2014, held in Taiyuan, China, August 3-6, 2014, constituted the Tenth International Conference on Intelligent Computing. It built upon the success of ICIC2013, ICIC2012, ICIC2011, ICIC2010, ICIC2009, ICIC2008, ICIC2007, ICIC2006, and ICIC2005 held in Nanning, Huangshan, Zhengzhou, Changsha/China, Ulsan/Korea, Shanghai, Qingdao, Kunming and Hefei, China, respectively.

This year, the conference concentrated mainly on the theories and methodologies as well as the emerging applications of intelligent computing. Its aim was to unify the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. Therefore, the theme for this conference was “Advanced Intelligent Computing Technology and Applications”. Papers focused on this theme were solicited, addressing theories, methodologies, and applications in science and technology.

ICIC 2014 received 667 submissions from 21 countries and regions. All papers went through a rigorous peer review procedure and each paper received at least three review reports. Based on the review reports, the Program Committee finally selected 235 high-quality papers for presentation at ICIC 2014, which are included in three volumes of proceedings published by Springer: one volume of Lecture Notes in Computer Science (LNCS) 8588, one volume of Lecture Notes in Artificial Intelligence (LNAI) 8589, and one volume of Lecture Notes in Bioinformatics (LNBI) 8590. In addition, among them, the 8 and 24 as well as 6 high-quality papers have also respectively been recommended to IEEE/ACM Transactions on Computational Biology and Bioinformatics (IEEE/ACM TCBB) and Neurocomputing as well as International Journal of Data Mining and Bioinformatics (IJDMB) for possible publication.

The organizers of ICIC 2014, including Tongji University and North University of China, Taiyuan Normal University, China, Taiyuan University of Science and Technology, China, made an enormous effort to ensure the success of the conference. We hereby would like to thank the members of the Program Committee and the referees for their collective effort in reviewing and soliciting the papers. We would like to thank Alfred Hofmann, executive editor from Springer, for his frank and helpful advice and guidance throughout and for his continuous support in publishing the proceedings. In particular, we would like to thank all the authors for contributing their papers. Without the high-quality submissions from the authors, the success of the conference would not have been possible. Finally, we are especially grateful to the IEEE Computational Intelligence Society, the International Neural Network Society, and the National Science Foundation of China for their sponsorship.

July, 2014

De-Shuang Huang, Vincenzo Piuri, Yan Han, Jiye Liang, Jianchao Zeng

4

ICIC 2014 Organization

General Co-chairs

De-Shuang Huang, China Vincenzo Piuri, Italy Yan Han, China Jiye Liang, China Jianchao Zeng, China

Program Committee Co-Chairs Kang Li, UK Juan Carlos Figueroa, Colombia

Organizing Committee Co-Chairs Kang-Hyun Jo, Korea Valeriya Gribova, Russia Bing Wang, China Xing-Ming Zhao, China

Award Committee Chair Vitoantonio Bevilacqua, Italy Publication Chair Phalguni Gupta, India Workshop/Special Session Co-Chairs Jiang Qian, USA

Zhongming Zhao, USA Special Issue Chair M. Michael Gromiha, India Tutorial Chair Laurent Heutte, France International Liaison Prashan Premaratne, Australia Publicity Co-Chairs Kyungsook Han, Korea

Ling Wang, China Abir Hussain, UK Zhi-Gang Zeng, China

Exhibition Chair Chun-Hou Zheng, China

Program Committee Members:

Khalid Aamir, Pakistan Andrea F. Abate, USA Sabri Arik, Korea Vasily Aristarkhov, Austrilia Costin Badica, Japan Waqas Bangyal, Pakistan Vitoantonio Bevilacqua, Italy Shuhui Bi, China Jair Cervantes, Mexico Yuehui Chen,China Qingfeng Chen, China Wen-Sheng Chen, China Xiyuan Chen, China

Guanling Chen, USA Yoonsuck Choe, USA Ho-Jin Choi, Korea, Republic of Michal Choras, Colombia Angelo Ciaramella, China Youping Deng, Japan Primiano Di Nauta, Italy Salvatore DIstefano, USA Ji-Xiang Du, China Jianbo Fan, China Minrui Fei, China Juan Carlos Figueroa-García, Colombia

5

Shan Gao, China Liang Gao, China Dun-wei Gong, India Valeriya Gribova, China Michael Gromiha, China Xingsheng Gu, China Kayhan Gulez, USA Ping Guo, China Phalguni Gupta, India Kyungsook Han, Korea Fei Han, China Laurent Heutte, France Wei-Chiang Hong, Taiwan Yuexian Hou, China Jinglu Hu, China Tingwen Huang, Qatar Peter Hung, Taiwan Abir Hussain, UK Saiful Islam, India Li Jia, China Zhenran Jiang, China Kang-Hyun Jo, Korea Dah-Jing Jwo, Korea Seeja K.R, India Vandana Dixit Kaushik, India Gul Muhammad Khan, Pakistan Sungshin Kim, Korea Donald Kraft, USA Yoshinori Kuno, Japan Takashi Kuremoto, Japan Jaerock Kwon, USA Vincent Lee, Austrlia Shihua Zhang, China Guo-Zheng Li, China Xiaodi Li, China Bo Li, China Kang Li, UK Peihua Li, China Jingjing Li, USA Yuhua Li, UK Honghuang Lin, USA Meiqin Liu, USA Ju Liu, China Xiwei Liu, China

Shuo Liu, China Yunxia Liu, China Chu Kiong Loo, Mexico Zhao Lu, USA Ke Lu, China Yingqin Luo, USA

Jinwen Ma, USA Xiandong Meng, China Filippo Menolascina, Italy Ivan Vladimir Meza-Ruiz, Australia Tarik Veli Mumcu Mumcu, Turkey Roman Neruda, Turkey Ben Niu, China Seiichi Ozawa, Korea Paul Pang, China Francesco Pappalardo, USA Surya Prakash, India Prashan Premaratne, Australia Daowen Qiu, China Angel Sappa, USA Li Shang, China Dinggang Shen, USA Fanhuai Shi, China Shitong Wang, China Wilbert Sibanda, USA Jiatao Song, China Stefano Squartini, Italy Badrinath Srinivas, USA Zhan-Li Sun, China Evi Syukur, USA Joaquín Torres-Sospedra, Spain Rua-Huan Tsaih, USA Antonio Uva, USA Jun Wan, USA Yong Wang, China Ling Wang, China Jim Jing-Yan Wang, USA Xuesong Wang, China Bing Wang, China Ze Wang, USA Junwen Wang, HK Hong Wei, UK Wei Wei, Norway

6

Yan Wu, China QingXiang Wu, China Junfeng Xia, China Shunren Xia, China Bingji Xu, China gongsheng xu, Yu Xue, China Xin Yin, USA Xiao-Hua Yu, USA Zhigang Zeng, China Shihua Zhang, China Jun Zhang, China

Xing-Ming Zhao, China Hongyong Zhao, China Xiaoguang Zhao, China Zhongming Zhao, USA Bojin Zheng, China Chunhou Zheng, China Fengfeng Zhou, China Yongquan Zhou, China Hanning Zhou, China Li Zhuo, China Xiufen Zou, China

7

Sponsors

Hosted by

Tongji University, China

North University of China

Taiyuan Normal University

Taiyuan University of Science and Technology

Financially Supported by

The National Science Foundation of China

Technically co-sponsored by

The International Neural Network Society

The IEEE Computational Intelligence Society

8

The Location of Conference Venue in Taiyuan

Conference Venue

ICIC2014 Conference Venue is Shanxi Huanghe Jingdu Grand Hotel, which is a four star hotel built by Jingdu Huanghe Capital Management Group in Taiyuan. It is located in no. 19, Pingyang road, Taiyuan, and has a total area of 48000 square meters. It has a convenient transportation, superior geographical, and is a collection of tourism, leisure, meetings, business as one of the hotel management group. Hotel Rooms: The hotel has 229 guest rooms. There are luxury suites, business suites, top business single rooms, VIP rooms, deluxe business room, deluxe standard rooms, business standard rooms, common standard rooms, etc. Every room has comfortable environment and advanced facilities, which can make you home. Hotel Wedding Party: The hotel has enough equipment and space to hold 10 wedding parties at the same time. And we hold more than 1000 wedding parties a year since 2005. Every hall is critically acclaimed, such as the crystal palace, the golden hall, the Beijing hall, the reception hall, especially the crystal palace, which has more than 1500 square meters, can hold more than 60 wedding banquet tables. The hotel is honored with "The Best Wedding Banquet Prize".

Detailed Location

9

Road Map Add.: No. 19, Pingyang road, Taiyuan, the south 200 meters of the cross of The South of Inner Ring Street and Pingyang Road, at the west of Pingyang Road. Railway Station: It is about 6 kilometers from the railway station, you can take the buses 804,806,837 and get off at Laojunying Station, and it will take you about 30 minutes. Or you can take a taxi, it will take you about 15 minutes and RMB¥15. Airport: It is about 15 kilometers from the airport, you can take a taxi, it will take you about 30 minutes and RMB¥50. Website: http://www.huanghehotel.com/main.asp

酒店地址：山西省太原市平阳路 19 号

10

General Information

I. Conference Working Language

English is the official language of the conference.

II. Conference Registration

The ICIC2014 registration desk, located in the lobby of Shanxi Huanghe Jingdu Grand Hotel, will be open during the following hours:

August 3, 2014 (Sunday) 15:00-19:30pm August 4, 2014 (Monday) 8:30-17:00pm August 5, 2014 (Tuesday) 9:00-17:00pm III. Conference Events

The ICIC 2014 events are scheduled as follows:

Banquet: 18:30-21:00pm, August 5, 2014 (Tuesday), Multi-function Hall, 2nd floor. All the meals but Banquet: Restaurant, 1st floor.

IV. Conference Rooms Multi-function Hall, 2nd floor: The opening Ceremony Session and Plenary Session. Room A, Room B and Room C, 2nd floor: All the parallel Oral Sessions. V. Information for Oral Presenters Please prepare a 10-15-minute PowerPoint (PPT) slide. Your actual presentation time may

depend on the number of presentations in your session. Please check this Final Program for your presentation time and room. Please go to the room

5 minutes before the session starts and report to the Session Chair. Please follow the instructions of the Session Chair(s) not to exceed your time allotted to you

by them. If the Session Chair(s) is/are absent from the session, the last speaker should serve as the

Session Chair. VI. Information for Session Chairs The Organizing Committee would like to ask for your kind help as Session Chair(s). If you cannot fulfill your duties as session chair, please try to make sure that someone else will take your place as Session Chair(s). As a Session Chair, you are kindly requested to help at the following: Arrive at the room of the session at least 5 minutes before the session starts and identify

each of the speakers for the session. Calculate and announce the time allocated for each paper in your session for only the authors

11

present before the session starts. The time allocated to a paper may be different in different sessions, due to uneven

distribution of papers in different areas and a small number of absentees due to visa and other reasons. Request the presenters to leave 2 minutes for question and answers, plus 2 minutes for transition to the next paper. For example, if the calculated time for each presentation is 15 minutes, then request each presenter to talk for no more than 11 minutes, with 2 minutes for question and answers, plus 2 minutes for transition to the next paper.

Each oral presentation room is equipped with an LCD projector. If something is not working properly, please contact conference helper in the room.

12

Schedule Overview

Date Morning Afternoon Evening August 3

Sunday

Registration (15:00-20:00pm)

Location: Lobby of Huanghe Jingdu Grand Hotel

August 4

Monday

Opening Ceremony Session

Location: Jingdu Hall on the 2nd floor of

the Huanghe Jingdu Grand Hotel

8:30-9:00 am

Plenary Speech

Location: Jingdu Hall on the 2nd floor of

the Huanghe Jingdu Grand Hotel

Speaker I: Lewis Frank L.

Chair: De-Shuang Huang

9:00-10:00 am

Coffee Break, 10:00-10:10 am

Speaker II: Xin Yao

Chair: Kang-Hyun Jo

10:10-11:10 am

Speaker III: Vincenzo Piuri

Chair: Abir Hussain

11:10-12:10 am

Lunch

Oral presentation

13:30-15:30 pm

Room A，Room B

Tutorial I

13:30-15:30 pm

Room C

Coffee Break: 15:30-15:50 pm

Oral presentation

15:50-18:00 pm

Room A，Room B

Tutorial II

15:50-18:00 pm

Room C

Dinner

Hall on the 1st floor of Huanghe Jingdu Grand Hotel 18:00-19:30 pm

August 5

Tuesday

Oral Presentation

8:00-10:00am

Room A，Room B，Room C

Coffee Break: 10:00-10:20 am

Oral Presentation

10:20-12:20 am

Room A，Room B，Room C

Lunch

Oral Presentation

13:30-15:30pm

Room A，Room B，Room C

Coffee Break: 15:30-15:50 pm

Oral Presentation

15:50-18:00 pm

Room A，Room B, Room C

Banquet

Yulan Hall on the

2nd floor of the

Huanghe Jingdu

Grand Hotel 18:30-21:00 pm

August 6

Wednesday Free Activity

13

Introduction of Keynote Speakers

Keynote Speakers 1: Frank L. Lewis

Reinforcement Learning Structures for Real-Time Optimal Control and Differential Games

Lewis Frank L, National Academy of Inventors, Fellow IEEE, InstMC, IFAC

Moncrief-O'Donnell Endowed Chair and Head, Advanced Controls & Sensors Group

UTA Research Institute (UTARI), The University of Texas at Arlington, USA

Personal website: http://www.uta.edu/utari/acs

Email: lewis@uta.edu

Abstract: This talk will discuss some new adaptive control structures for learning online the solutions to optimal control problems and multi-player differential games. Techniques from reinforcement learning are used to design a new family of adaptive controllers based on actor-critic mechanisms that converge in real time to optimal control and game theoretic solutions. Continuous-time systems are considered. Application of reinforcement learning to continuous-time (CT) systems has been hampered because the system Hamiltonian contains the full system dynamics. Using our technique known as Integral Reinforcement

Learning (IRL), we will develop reinforcement learning methods that do not require knowledge of the system drift dynamics. In the linear quadratic (LQ) case, the new RL adaptive control algorithms learn the solution to the Riccati equation by adaptation along the system motion trajectories. In the case of nonlinear systems with general performance measures, the algorithms learn the (approximate smooth local) solutions of HJ or HJI equations. New algorithms will be presented for solving online the non zero-sum multi-player games for continuous-time systems. We use an adaptive control structure motivated by reinforcement learning policy iteration. Each player maintains two adaptive learning structures, a critic network and an actor network. The result is an adaptive control system that learns based on the interplay of agents in a game, to deliver true online gaming behavior. Bio-Sketch: F.L. Lewis, Member, National Academy of Inventors. Fellow IEEE, Fellow IFAC, Fellow U.K. Institute of Measurement & Control, PE Texas, U.K. Chartered Engineer. UTA Distinguished Scholar Professor, UTA Distinguished Teaching Professor, and Moncrief-O'Donnell Chair at The University of Texas at Arlington Research Institute. Qian Ren Thousand Talents Professor, Northeastern University, Shenyang, China. IEEE Control Systems Society Distinguished Lecturer. He obtained the Bachelor's Degree in Physics/EE and the MSEE at Rice University, the MS in Aeronautical Engineering from Univ. W. Florida, and the Ph.D. at Ga. Tech. He works in feedback control, reinforcement learning, intelligent systems, and distributed control systems. He is author of 6 U.S. patents, 273 journal papers, 375 conference papers, 15 books, 44 chapters, and 11 journal special issues. He received the Fulbright Research Award, NSF Research Initiation Grant, ASEE Terman Award, Int. Neural Network Soc. Gabor Award 2009, U.K. Inst

14

Measurement & Control Honeywell Field Engineering Medal 2009. Received IEEE Computational Intelligence Society Neural Networks Pioneer Award 2012. Distinguished Foreign Scholar, Nanjing Univ. Science & Technology. Project 111 Professor at Northeastern University, China. Received Outstanding Service Award from Dallas IEEE Section, selected as Engineer of the Year by Ft. Worth IEEE Section. Listed in Ft. Worth Business Press Top 200 Leaders in Manufacturing. Received the 2010 IEEE Region 5 Outstanding Engineering Educator Award and the 2010 UTA Graduate Dean's Excellence in Doctoral Mentoring Award. Elected to UTA Academy of Distinguished Teachers 2012. Texas Regents Outstanding Teaching Award 2013. He served on the NAE Committee on Space Station in 1995.

Keynote Speakers 2: Xin Yao

Recent Ensemble Algorithms for Online and Class Imbalance Learning

Xin Yao, Professor & Ph D, Fellow IEEE, President IEEE CIS Department of Computer Science, the University of Birmingham, UK

Personal website: http://www.cs.bham.ac.uk/~xin/ Email: X.Yao@cs.bham.ac.uk

Abstract: Previous work on evolving neural networks has focused on single neural networks. However, monolithic neural networks have become too complex to train and evolve for large and complex problems. It is often better to design a collection of simpler neural networks that work collectively and cooperatively to solve a large and complex problem. The key issue here is how to design such a collection, i.e., an ensemble, automatically so that it has the best generalization ability. This talk first reviews briefly early work on evolving neural networks. Then a previous idea of designing ensembles, negative correlation learning, is explained. Lastly, several

recent studies are introduced, which analyze the impact of diversity on online ensemble learning and that on multi-class class imbalance learning. The ideas behind some new ensemble algorithms for online learning, class imbalance learning, and online class imbalance learning will be presented. Applications of such new ensemble learning algorithms will also be mentioned and future research directions discussed. Bio-Sketch: Xin Yao is a Chair (Professor) of Computer Science and the Director of CERCIA (Centre of Excellence for Research in Computational Intelligence and Applications) at the University of Birmingham, UK. He is an IEEE Fellow and the President (2014-15) of IEEE Computational Intelligence Society (CIS). He won the 2001 IEEE Donald G. Fink Prize Paper Award, 2010 IEEE Transactions on Evolutionary Computation Outstanding Paper Award, 2010 BT Gordon Radley Award for Best Author of Innovation (Finalist), 2011 IEEE Transactions on Neural Networks Outstanding Paper Award, and many other best paper awards. He won the prestigious Royal Society Wolfson Research Merit Award in 2012 and the IEEE CIS Evolutionary Computation Pioneer Award in 2013. He was the Editor-in-Chief (2003-08) of IEEE Transactions on Evolutionary Computation and is an Associate Editor or Editorial Member of more than ten other journals. He has been invited to give 70+keynote/plenary speeches at international conferences. His major research interests include evolutionary computation and neural network ensembles.

15

Keynote Speakers 3: Vincenzo Piuri

3D Surface Reconstruction by Using Computational Intelligence Technologies

Vincenzo Piuri, Professor, Ph.D, IEEE Fellow University degli Studi di Milano, Italy

Personal website: http://homes.di.unimi.it/piuri/ Email: vincenzo.piuri@unimi.it

Abstract: Applications based on three-dimensional object models are today very common, and can be found in many fields as design, archeology, medicine, and entertainment. A digital 3D model can be obtained, for example, by means of physical object measurements performed by using a 3D scanner. In this approach, an important step of the 3D model building process consists of creating the object's surface representation from a cloud of noisy points sampled on the object itself. This process can be viewed as the estimation of a function from a finite subset of its points. Problems of this kind occur in many branches of applied mathematics, and computer science.

Many techniques have been developed to face them, such as interpolation, extrapolation, regression analysis, and curve fitting. In computational intelligence this problem is viewed as a supervised learning problem, where the two-dimensional vector coordinates of the single point is an input instance, while the third coordinate is considered as an output label. The approximation function identifies how to obtain labels from instances. Several effective computational intelligence paradigms have been developed for solving these kinds of problems. For the solution of the function reconstruction problem, neural techniques, generally, show a good trade-off between computational complexity, accuracy and robustness of the solution with respect to other methods. In this context, there are many different paradigms which are able to find the approximation function, e.g., Multi-layer Perceptron Networks, Radial Basis Function (RBF) Networks, and Support Vector Machines (SVM). In general, there is not a single paradigm better than the others, but each one performs differently depending on the application context. This keynote speech is directed to introduce the needs of the 3D surface reconstruction, to briefly overview the techniques for surface reconstruction, to analyze and discuss in detailed the neural techniques suited for addressing this problem, and to present the most recent results of research. Bio-Sketch: Vincenzo PIURI has received his Ph.D. in computer engineering at Politecnico di Milano, Italy (1989). He has been Associate Professor at Politecnico di Milano, Italy and Visiting Professor at the University of Texas at Austin and at George Mason University, USA. He is Full Professor in computer engineering (since 2000) and has been Director of the Department of Information Technology at the University degli Studi di Milano, Italy. His main research interests are: signal and image processing, machine learning, pattern analysis and recognition, theory and industrial applications of neural networks, intelligent measurement systems, industrial applications, fault tolerance, cloud computing, internet-of-things, digital processing architectures,

16

embedded systems, arithmetic architectures, and biometrics. Original results have been published in more than 350 papers in international journals, proceedings of international conferences, books, and book chapters. He is Fellow of the IEEE, Distinguished Scientist of ACM, and Senior Member of INNS. He is Editor-in-Chief of the IEEE Systems Journal (2013-15), and has been Associate Editor of the IEEE Transactions on Neural Networks and the IEEE Transactions on Instrumentation and Measurement. He has been IEEE Director and IEEE Delegate for Division X, President of the IEEE Computational Intelligence Society, Vice President for Publications of the IEEE Instrumentation and Measurement Society and the IEEE Systems Council, Vice President for Membership of the IEEE Computational Intelligence Society, and Vice President for Education of the IEEE Biometrics Council. He has been elected 2014 IEEE Vice President-elect for Technical Activities. He received the IEEE Instrumentation and Measurement Society Technical Award (2002) for the contributions to the advancement of theory and practice of computational intelligence in measurement systems and industrial applications, the IEEE Instrumentation and Measurement Society Distinguished Service Award (2008), and the IEEE Computational Intelligence Society Meritorious Service Award (2009).

17

Introduction of Tutorials

Tutorial I: BigData: Hashing Algorithms for Large-Scale Search, Learning, and Compressed Sensing

Ping Li

Associate Professor

Department of Statistics and Biostatistics

Department of Computer Science

Rutgers University

Piscataway, NJ 08854, USA

pingli@stat.rutgers.edu

www.stat.rutgers.edu/home/pingli

Abstract: Modern applications of internet search and machine learning routinely encounter datasets with billions of examples in billion or even billion square dimensions (e.g., documents represented by high-order n-grams). Developing novel algorithms for efficient search and machine learning has become a highly active area of research. We will go over a series of state-of-the-art probabilistic hashing techniques, with applications in search, machine learning, and compressed sensing. Examples of applications inlcude: (i) fitting logistic

regression (or SVM) with extremely high-dimensional data; (ii) efficiently finding near neighbors (e.g., images or documents) in sublinear time without scanning all items in the repository; (iii) recovery of sparse signals (e.g., anomaly events from surveillance cameras) from nonadaptive linear measurements. Bio-Sketch: Ping Li is Associate Professor at Rutgers University, in the Department of Statistics and Biostatistics and in the Department of Computer Science. He graduated from Stanford University with Ph.D. in Statistics (plus Master's degrees in both CS and EE). Ping Li’s research interests include probabilistic hashing algorithms for big data, information retrieval, boosting, data streams, and compressed sensing. He has been publishing extensively in premier venues in data mining, machine learning and theory including WWW, NIPS, UAI, ICML, KDD, SODA, COLT, etc. Ping Li’s research has been funded by the Department of Defense (DoD), Microsoft, Google, and the National Science Foundation (NSF). In particular, he was one of the PIs of the recent NSF-Bigdata program. Ping Li received the Young Instigator Award (YIP) from the Air Force Office of Scientific Research (AFOSR) and the YIP from the Office of Naval Research (ONR). He also won a prize in 2010 Yahoo! Learning to Rank Grand Challenge using own boosting/tree algorithms. Table of Content The tutorial consists of four major components (roughly 45 minutes each). There will be a 10-min break between each component. The total length of the tutorial will be 3.5 hours. Depending

18

on the interests of the audience, the context may be slightly adjusted during the tutorial. Some relevant references are provided below. The tutorial will select material from those papers. 1. Random projections, very sparse random projections, sign stable random projections

Ping Li, Trevor Hastie, and Kenneth Church, Very Sparse Random Projections, ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2006 Ping Li, Trevor Hastie, and Kenneth Church, Improving Random Projections Using Marginal Information, Conference on Learning Theory (COLT), 2006. Ping Li, Very Sparse Stable Random Projections For Dimension Reduction, ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2007 Ping Li, Gennady Samorodnitsky, and John Hopcroft, Sign Cauchy Projections and Chi-Square Kernel, Neural Information Processing Systems (NIPS), 2013 Ping Li, Michael Mitzenmacher, and Anshumali Shrivastava, Coding for Random Projections, in International Conference on Machine Learning (ICML), 2014

2. b-bit minwise hashing and applications in search and learning with bigdata Ping Li and Chritsian Konig, Theory and Applications of b-Bit Minwise Hashing, Research Highlight Article in Communications of the ACM, 54 (August), 2011 Ping Li, Christian Konig, and Wenhao Gui, b-Bit Minwise Hashing for Estimating Three-Way Similarities, Neural Information Processing Systems (NIPS), 2010 Ping Li, Anshumali Shrivastava, Joshua Moore, and Christian Konig, Hashing Algorithms for Large-Scale Learning, Neural Information Processing Systems (NIPS), 2011 Anshumali Shrivastava and Ping Li, Fast Near Neighbor Search In High-Dimensional Binary Data, European Conference on Machine Learning (ECML), 2012 Anshumali Shrivastava and Ping Li, In Defense of Minhash over Simhash, International Conference on Artificial Intelligence and Statistics (AISTATS), 2014

3. One permutation hashing, densified one permutation, and applications in search and learning Ping Li, Art Owen, and Cun-Hui Zhang, One Permutation Hashing, Neural Information Processing Systems (NIPS), 2012 Anshumali Shrivastava and Ping Li, Densifying One Permutation Hashing via Rotation for Fast Near Neighbor Search, in International Conference on Machine Learning (ICML), 2014

4. Compressed sensing (sparse signal recovery) with heavy-tailed design Ping Li, Cun-Hui Zhang, and Tong Zhang, Compressed Counting Meets Compressed Sensing, in Conference on Learning Theory (COLT), 2014 Ping Li, Cun-Hui Zhang, and Tong Zhang, Sparse Recovery with Very Sparse Compressed Counting, arXiv, 2014

Tutorial II: Databases and Algorithms in Computational Biology

M. Michael Gromiha, PhD 19

Associate Professor, Department of Biotechnology,

Indian Institute of Technology Madras, India

Associate Editor: BMC Bioinformatics

http://www.biotech.iitm.ac.in/Gromiha

gromiha@iitm.ac.in

Abstract: Computational biology is a fast growing field due to the advancement of fastest computers, efficient algorithms, massive data storage, rapid exchange of information and so on. The developments are on diverse areas such as biological sequence analysis, structural insights, interaction networks, annotation of genomes, microarray data analysis, gene regulatory networks, pathways, next generation sequencing etc. These computational investigations address the issue of therapeutically important targets and pave ways to provide deep insights to experimental researchers. Due to the

functional importance of proteins and their interactions in living organisms several computations analyses have been carried out to understanding the mechanism of protein folding, binding specificity of proteins with other molecules such as proteins, DNA, RNA and ligands, interaction networks, pathways, aggregation etc. It is very essential and important to gain knowledge about the availability of databases in bioinformatics and the algorithms developed in computational biology on proteins and their interactions. This tutorial is aiming to cover various aspects of protein bioinformatics resources from sequence to function. The first part will be focused on the utilities of databases and the second part is devoted to the development of algorithms and web based tools. The contents, usage and construction of databases on protein sequences and structures, folding and stability as well as the binding specificity of protein-protein and protein-nucleic acid complexes will be discussed with examples (2-4). The development of non-redundant datasets, features used to develop computational models will be explained. On the algorithms point of view, I will focus on different aspects on predicting the secondary and tertiary structures of proteins, annotation of membrane proteins, stability of proteins upon mutations, protein folding rates and identifying the binding sites in protein complexes (5-8). The methods used to assess the performance of prediction methods, validity procedures and applications of specific methods will be discussed in detail. In essence, the tutorial would provide deep understanding and basic necessary information to protein researchers/students. Bio-Sketch: M. Michael Gromiha received his Ph.D in Physics from Bharathidasan University, Tiruchirappalli, India in 1994. He pursued his post doctoral research at the International Center for Genetic Engineering and Biotechnology (ICGEB), Trieste, Italy and The Institute of Physical and Chemical Research (RIKEN), Tsukuba, Japan. He worked as a Research Scientist/Senior Research Scientist at the Computational Biology Research Center (CBRC) of the National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Japan from 2002-2010. Currently, he is serving as an Associate Professor at the Department of Biotechnology, Indian Institute of Technology Madras, India. His main research interests are structural analysis, prediction, folding and stability of globular and membrane proteins, protein interactions and development of databases and online tools in Bioinformatics. He has published over 150 research articles, 30 reviews and written a book on “Protein Bioinformatics: From Sequence to Function”.

20

His papers received more than 6000 citations. He is an Associate Editor of BMC Bioinformatics, Editor-in-Chief of Open Structural Biology Journal and a member of Nature Reader Panel. He is also a program committee member of ISMB, ECCB and InCoB. He has received several awards including Oxford University Press Bioinformatics prize, Okawa Science Foundation research grant award, Best paper award and Young scientist travel awards from JSPS, ISMB, ICTP, AMBO etc, ICMR award for Senior Biomedical Scientists and INSA International fellowship for senior scientists. Table of content Part I: Biological Databases Protein sequences and structures Protein folding and stability Protein interactions Development of non-redundant datasets Part II: Algorithms in computational biology Prediction of secondary and tertiary structures of proteins Annotation of membrane proteins based on structure and function Stability of proteins upon mutations and protein folding rates Identifying the binding site residues in protein complexes. Construction of features for prediction methods Assessment of prediction performance Validation of methods

21

Parallel Sessions for Oral Presentations

Room Time

Room A Room B Room C

Afternoon Aug. 4 13:30-15:30

R1: Intelligent Computing in Image Processing Chairs: Qingxiang Wu

R3: Neural Networks Chairs: Michael Gashler Yunfei Yi

Tutorial I

15:30-15:50 Coffee Break

Afternoon Aug. 4 15:50-18:00

R2: Machine Learning Chairs: Abir Hussain Ziyi Chen

R4: Systems and Synthetic Biology Chairs: Y-h. Taguchi

Chunhou Zheng

Tutorial II

Morning Aug. 5 8:00-10:00

R6: Intelligent Agent and Web Applications Chairs: Huixiang Ling

R7: Intelligent Computing in Complex Systems Chairs: Jinwen Ma Yanchao Sun

R8: Intelligent Computing in Computer Vision Chairs: Haider Abbas Divya Kumar

Prashan Premaratne

10:00-10:20 Coffee Break

Morning Aug. 5 10:20-12:10

R9: Intelligent Data Analysis & Prediction Chairs: Yu-Chunan Liu Dhiya Al-Jumeily

R10: Biometrics Recognition Chairs: Mohammed Abbas

Kadhim Ying Bi

R11: Knowledge Discovery and Data Mining Chairs: Puneet Gupta

Afternoon Aug. 5 13:30-15:30

S1: Special Session on Advances in Bio-inspired Computing: Theories and Applications Chairs: Ben Niu Hong Wang

S2: Special Session on Protein and Gene Bioinformatics: Analysis, Algorithms and Applications Chairs: Michael Gromiha

Nashaat Mansour

R5: Modeling and Simulation of Biological Systems Chairs: Henry Han

Davood Kalhor

15:30-15:50 Coffee Break

Afternoon Aug. 5 15:50-18:00

S3: Special Session on Advanced Modeling, Control and Optimization Techniques for Complex Engineering Systems Chairs: Yifan Luo

Fu Hsiang Chen

Technical Committee Meeting Chair: De-Shuang Huang

S4: Special Session on Intelligent Computing in Scheduling and Engineering Optimization Chairs: Ling Wang Kuremoto Takashi

22

Detailed Parallel Sessions for Oral Presentations

Afternoon, August 4, Monday, Room A, 2nd floor R1: Intelligent Computing in Image Processing Chairs: Qingxiang Wu

Paper 120 13:30 – 13:40

Moving Object Detection Method with Temporal and Spatial Variation Based on Multi-Info Fusion Yaochi Zhao, Zhuhua Hu, Xiong Yang and Yong Bai

Paper 471 13:40 – 13:55

Integrating Visual Saliency Information into Objective Quality Assessment of Tone-Mapped Images Xueyabo Liu, Lin Zhang, Hongyu Lia and Jianwei Lu

Paper 249 13:55 – 14:10

Feature Points Selection Algorithm of DSA Images Based on Adaptive Multi-Scale Vascular Enhancement and Mean Shift Xiaohua Wang, Wei Liu, Min Hu, Liangfeng Xu

Paper 165 14:10 – 14:20

A Rotation and Scale Invariant Approach for Dense Wide Baseline Matching Jian Gao, Fanhuai Shi

Paper 550 14:20 – 14:30

Clustering-Based Latent Variable Models for Monocular Non-rigid 3D Shape Recovery Quan Wang, Fei Wang, Daming Li, and Xuan Wang

Paper 396 14:30 – 14:40

A Novel Salient Line Detection Approach Based on Ant Colony Optimization Algorithm Xutang Zhang, Yan Liu, Yinling Ma, Hong Liu and Ting Zhuang

Paper 397 14:40 – 14:50

An Edge Sensing Fuzzy Local Information C-Means Clustering Algorithm for Image Segmentation Xinning Wang, Xiangbo Lin, Zhen Yuan

Paper 455 14:50 – 15:00

Computer Vision Based Traffic Monitoring System for Multi-Track Freeways Zubair Iftikhar, Prashan Dissanayake and Peter Vial

Paper 486 15:00 – 15:10

Joint Components Based Pedestrian Detection in Crowded Scenes Hoang Van-Dung, Hernandez Danilo Caceres and Jo Kang-Hyun

Paper 604 15:10 – 15:20

GPU-Based Range Image Segmentation Xinhua Jin, Joong Kang Dong

Paper 324 15:20 – 15:30

An Integrated NRSFM Approach for Image Sequences with Small Size Ya-Ping Wang, Zhan-Li Sun, Li Shang

15:30– 15:50

Coffee Break, 2nd floor

R2: Machine Learning Chairs: Abir Hussain, Ziyi Chen

Paper 239 15:50–16:00

A Non-negative Sparse Semi-supervised Dimensionality Reduction Algorithm for Hyperspectral Data Xuesong Wang, Yang Gao, Yuhu Cheng

Paper 633 16:00 – 16:10

Cost-Sensitive Bayesian Network Classifiers and Their Applications in Rock Burst Prediction Ganggang Kong, Yun Xia, Chen Qiu, and Liangxiao Jiang

23

Paper 598 16:10 – 16:25

Automatic Non-negative Matrix Factorization Clustering with Competitive Sparseness Constraints Chenglin Liu, Jinwen Ma

Paper 597 16:25 – 16:40

Hard-cut EM algorithm for Mixtures of Gaussian Processes Ziyi Chen, Jinwen Ma, Yatong Zhou

Paper 572 16:40 – 16:50

Parameters Selection for Support Vector Machine based on Particle Swarm Optimization Li Jun, Li Bo

Paper 509 16:50–17:00

Analyzing Support Vector Machine Overfitting on Microarray Data Hongxi Wei, Guanglai Gao

Paper 222 17:00–17:10

Contractive Denoising Autoencoder Fu-qiang Chen, Yan Wu, Guo-dong Zhao, Jun-ming Zhang, Ming Zhu, Jing Bai

Paper 616 17:10–17:20

Online Model-based Twin Parametric-margin Support Vector Machine Xinjun Peng, Lingyan Kong, Dongjing Chen, Dong Xu

Paper 571 17:20–17:30

Nonparametric Discriminant Multi-manifold Learning Bo Li, Jun Li and Xiao-Ping Zhang

Paper 299 17:30–17:45

Improved Bayesian Network Structure Learning with Node Ordering via K2 Algorithm Wei Zhongqiang, Xu Hongzhe, Li Wen, Gui Xiaolin, Wu Xiaozhou

Paper 528 17:45–18:00

Solving TSP Problems with hybrid Estimation of Distribution Algorithms Xiaoxia Zhang and Yunyong Ma

, Monday, Room B, 2nd floor R3: Neural Networks Chairs: Michael Gashler, Yunfei Yi Paper 462 13:30 – 13:50

Integration of Multiple Classifiers Protein Tertiary Structure Prediction Wenzheng Bao ,Yuehui Chen ,Dong Wang

Paper 438 13:50 – 14:10

An Automatic Image Segmentation Algorithm Based on Spiking Neural Network Model Xianghong Lin, Xiangwen Wang and Wenbo Cui

Paper 1979 14:10 – 14:30

Tumor clustering using independent component analysis and adaptive affinity propagation Fen Yea , Chun-Hou Zheng and Junfeng Xia

Paper 439 14:30 – 14:45

Training Deep Fourier Neural Networks To Fit Time-Series Data Michael S. Gashler and Stephen C. Ashmore

Paper 302 14:45 – 15:00

A Hand Shape Instruction Recognition and Learning System using Growing SOM with Asymmetric Neighborhood Function Kuremoto Takashi, Otani Takuhiro, Obayashi Masanao, Kobayashi Kunikazu

Paper 380 15:00 – 15:15

Neural Network-Based Adaptive Tracking Control of Mobile Robots in the Presence of Wheel Slip Hoang Ngoc-Bach , KangHee-Jun

Paper 394 15:15 – 15:30

Visual Servoing of Robot Manipulator based on Second Order Sliding Observer and Neural Compensation. Duc Tran Minh, Mien Van, Kang Hee-Jun and Dung Le Tien

Paper 154 15:30 – 15:45

A Method to Select Next Hop Node for Improving Energy Efficiency in LEAP-based WSNs Su Man Nam and Tae Ho Cho

15:45 – 16:00 Coffee Break, 2nd floor R4: Systems and Synthetic Biology

24

Chairs: Y-h. Taguchi, Chunhou Zheng Paper 276 16:00 – 16:20

Simulated Annealing based Algorithm for Mutated Driver Pathways Detecting Chao Yan, Hai-Tao Li, Ai-Xin Guo, Yan Zhang, Chun-Hou Zheng

Paper 565 16:40 – 17:00

Structure-based Prediction of Protein Phosphorylation Sites Using an Ensemble Approach Yong Gao, Weilin Hao, Zhigang Chen, Lei Deng

Paper 153 17:00 –17:20

The Prediction of Molecular Substructure Using Mass Spectral Data Based on Metric Learning Zhi-Shui Zhang, Li-Li Cao, Jun Zhang

Paper 472 17:20 – 17:40

Pinning Control of Asymmetrically Coupled Complex Dynamical Network with Heterogeneous Delays Fengli Ren

Paper 625 17:40 – 18:00

Potential Driver Genes That Are Regulated by OncomiRNA Are Associated with Druggability and Tumor Metastasis Xinzhou Zhou, Zheng Xiang, Meng Liu, and Jiang Xiang

Morning, August 5, Tuesday, Room A, 2nd floor

R6: Intelligent Agent and Web Applications Chairs：Huixiang Ling

Paper 268 8:00 – 8:20

Synchronization of Chen’s Attractor and Lorenz Chaotic Systems by Nonlinear Coupling Function Hongjie Yu, Hui Qian

Paper 538 8:20 – 8:40

A Multi-Intelligent Agent for Knowledge Discovery in Database (MIAKDD): Cooperative approach with domain expert for rules extraction Mohammed Abbas Kadhim, M. Afshar Alam, and Harleen Kaur

Paper 647 8:40 – 9:00

A “Content-Behavior” Learner Model for Adaptive Learning System Qingchun Hu, Yong Huang and Yi Li

Paper 530 9:00 – 9:20

Learning Automata Based Cooperative Student-team in Tutorial-like System Yifan Wang, Wen Jiang, Yinghua Ma, Hao Ge and Yuchun Jing

Paper 483 9:20 – 9:40

A Learning Automata-Based Singular Value Decomposition and Its Application in Recommendation System Yuchun Jing, Wen Jiang, Guiyang Su and Zhisheng Zhou

Paper 248 9:40 – 10:00

An Intelligent Agent Simulation Model to Evaluate Herd Behavior and Sales Effort in a Duopoly Market Feng Li, Ying Wei

10:00 – 10:20 Coffee Break, 2nd floor

R9: Intelligent Data Analysis & Prediction Chairs：Yu-Chunan Liu, Dhiya Al-Jumeily

Paper 261 10:20 – 10:30

Static Security Risk Assessment with Branch Outage considering the Dependencies among Input Variables Xue Li, Xiong Zhang, Dajun Du

Paper 446 10:30 – 10:45

Fault-tolerant Control, Fault Diagnosis and Recovery in Runtime of Business Docking Service Composition Flow in the Cloud Environment Jianhua Han, Silu He, Jianping Huang, Yuan Luo

Paper 587 Impact of Using Information Gain in Software Defect Prediction Models 25

10:45 – 11:00 Zeeshan Ali Rana, Mian M Awais, Shafay Shamail

Paper 131 11:00 – 11:15

PRDiscount: A Heuristic Scheme of Initial Seeds Selection for Diffusion Maximization in Social Networks Yufeng Wang, Bo Zhang, Athanasios V. Vasilakos, Jianhua Ma

Paper 257 11:15 – 11:30

Artificial Curiosity Driven Robots with Spatiotemporal Regularity Discovery Ability Davood Kalhor and Chu Kiong Loo

Paper 146 11:30 – 11:40

λ-Resolution of Fuzzy Propositional Logic System with Three Kinds of Negations Jiexin Zhao and Zhenghua Pan

Paper 529 11:40 – 11:50

Application of Genetic Algorithm and Fuzzy Gantt Chart to Project Scheduling with Resource Constraints Yu-Chuan Liu, Hong-Mei Gao, Shih-Ming Yang, and Chun-Yung Chuang

Morning, August 5, Tuesday, Room B, 2nd floor

R7: Intelligent Computing in Complex Systems Chairs：Jinwen Ma, Yanchao Sun

Paper 555 8:00 – 8:15

Dynamic Output Feedback Guaranteed Cost Control for T-S Fuzzy Systems with Uncertainties and Time Delays Guangfu Ma, Yanchao Sun, Jingjing Ma, Chuanjiang Li, Shuo Sun

Paper 186 8:15 – 8:30

Multi-Modality Medical Case Retrieval using Heterogeneous Information Menglin Wu, Quansen Sun

Paper 655 8:30 – 9:00

An Effective Algorithm for Interference Minimization in Wireless Sensor Networks Xiaoke Zhang, Weidong Chen

Paper 527 9:00 – 9:15

Robust Pose Estimation Algorithm for Approximate Coplanar Targets Haiwei Yang, Fei Wang, Lei Chen, Yicong He

Paper 418 9:15 – 9:30

A Robust Reversible Data Hiding Scheme for H.264 Based on Secret Sharing Yunxia Liu, Suimin Jia, Mingsheng Hu, Zhijuan Jia, Liang Chen and Hongguo Zhao

Paper 637 9:30 – 9:45

Frequency Domain Directional Filtering Based Rain Streaks Removal From A Single Color Image Changbo Liu, Yanwei Pang, Jian Wang, Aiping Yang, and Jing Pan

10:00 – 10:20

Coffee Break, 2nd floor

R10: Biometrics Recognition Chairs：Mohammed Abbas Kadhim, Ying Bi Paper 402 10:20 – 10:30

No-reference Fingerprint Image Quality Assessment Xiao Sun, Jiaqi Ye, Fuji Ren Kamlesh Tiwari, Phalguni Gupta

Paper 295 10:30 – 10:40

Moving People Recognition Algorithm Based on the Visual Color Processing Mechanism XiaoJin Lin, QingXiang Wu, Xuan Wang, ZhiQiang Zhuo, and GongRong Zhang

Paper 285 10:40 – 10:50

Finding Specific Person Using Spiking Neural Network Based on Texture Features Xuan Wang, QingXiang Wu, Xiaojin Lin, ZhiQiang Zhuo

Paper 323 10:50 – 11:00

Using Spectral Feature for Face Recognition of One-Sample-Per-Person Problem Xing-Zhu Wang, Zhan-Li Sun, , and Li Shang

Paper 532 11:00 – 11:10

Effective Palm Tracking with Integrated Tracker and Offline Detector Zhibo Yang, Yanmin Zhu and Bo Yuan

26

Paper 266 11:10 – 11:20

Designing Robot Eyes and Head and Their Motions for Gaze Communication Tomomi Onuki, Kento Ida, Tomoka Ezure, Takafumi Ishinoda, Kaname Sano,Yoshinori Kobayashi, Yoshinori Kuno

Paper 491 11:20 – 11:30

Action Segmentation and Recognition based on Depth HOG and Probability Distribution Difference Rui Yang and Ruoyu Yang

Paper 312 11:30 – 11:40

Dynamic Hand Gesture Recognition Frame-work Prashan Premaratne, Shuai Yang, ZhengMao Zhou and Nalin Bandara

Paper 328 11:40 – 11:50

Pedestrian Detection based on HOG and LBP Wen-Juan Pei, Yu-Lan Zhang, Yan Zhang and Chun-Hou Zheng

Morning, August 5, Tuesday, Room C, 2nd floor

R8: Intelligent Computing in Computer Vision Chairs：Haider Abbas, Divya Kumar, Prashan Premaratne

Paper 595 8:00 – 8:10

Error Tracing and Analysis of Vision Measurement System Song Yu, Wang Fei, Sheng Gao, Yang Haiwei, He Yongjian

Paper 640 8:10 – 8:20

Weighted Deformable Part Model for Robust Object Detection Yanwei Pang, Tianshuo Li, Yuqing He, and Changshu Liu

Paper 624 8:20 – 8:30

Monocular 3D Shape Recovery of Inextensibility Deformable Surface by Using DE-Based Niching Algorithm with Partial Reinitialization Xuan Wang, Fei Wang

Paper 588 8:30 – 8:40

Chaotic Features Identification and Analysis in Liujiang River Runoff Hong Ding, Wenyong Dong, Demin Wu

Paper 599 8:40 – 8:50

Unsupervised Image Segmentation Based on Contourlet Texture Features and BYY Harmony Learning of t-Mixtures Chenglin Liu and Jinwen Ma

Paper 406 8:50 – 9:00

Fast Mode and Depth Decisions for Intra Prediction for Quality Scalable High Efficiency Video Coding Dayong Wang, Chun Yuan, Yu Sun, Jian Zhang, Hanning Zhou

Paper 155 9:00 – 9:10

Recognition of Leaf Image Set Based on Manifold-Manifold Distance Mei-Wen Shao, Ji-Xiang Du, Jing Wang, Chuan-Min Zhai

Paper 521 9:10 – 9:20

Indexing SURF features by SVD based basis on GPU with multi-query support Bhavin Patel, Vibha Patel

Paper 487 9:20 – 9:30

Face Recognition System Invariant to Expression Rahul Verma, Sandesh Gupta, Phalguni Gupta

Paper 318 9:30 – 9:40

Monte Carlo-Discrete Wavelet Transform for Diagnosis of InnerOuter Race Bearings Faults in Induction Motors Amirhossein Ghods, Hong-Hee Lee

Paper 317 9:40 – 9:50

Active Learning Methods for Classification of Hyperspectral Remote Sensing Image Sheng Ding, Bo Li and Xiaowei Fu

Paper 621 9:50 – 10:00

Augmented Reality Surveillance System for Road Traffic Monitoring Alexander Filonenko, Andrey Vavilin, Taeho Kim, Kang-Hyun Jo

10:00 – 10:20

Coffee Break, 2nd floor

27

R11: Data Mining and Knowledge Discovery Chairs： Puneet Gupta

Paper 144 10:20 – 10:30

Sina Microblog Big Data Grabbing and Analysis Based on Multi-strategy Model Xiao Sun, Jiaqi Ye, Fuji Ren

Paper 149 10:30 – 10:40

Construction of a Chinese Emotion Lexicon from Ren-CECps Lijuan Wang, Changqin Quan, Yanwei Bao, Fuji Ren

Paper 167 10:40 – 10:50

Word Frequency Statistics Model for Chinese Base Noun Phrase Identification Lu Kong, Fuji Ren， Xiao Sun, Changqin Quan

Paper 171 10:50 – 11:00

A Signal Modulation Type Recognition Method Based on Kernel PCA and Random Forest in Cognitive Network Xin Wang, Zhijun Gao, Yanhui Fang, Shuai Yuan, Haoxuan Zhao, Wei Gong, Minghao Qiu, Qiang Liu

Paper 137 11:00 – 11:10

The Role of Pre-processing in Twitter Sentiment Analysis Yanwei Bao, Changqin Quan, Lijuan Wang, Fuji Ren

Paper 411 11:10 – 11:20

Legal Reasoning Engine for Civil Court Procedure Tanapon Tantisripreecha, Ken Satoh, Nuanwan Soonthornphisaj

Paper 508 11:20 – 11:35

Illumination Invariant Face Recognition Ankit Sharma, Vandana Dixit Kaushik, Phalguni Gupta

Paper 548 11:35 – 11:50

Extended Embedding Function for Model Preserving Steganography Saiful Islam and Phalguni Gupta

Paper 539 11:50 – 12:05

Multimodal Personal Authentication using Iris and Knuckleprint Aditya Nigam and Phalguni Gupta

Afternoon, August 5, Tuesday, Room A, 2nd floor

S1 ： Special Session on Advances in Bio-inspired Computing: Theories and Applications Chairs：Ben Niu, Hong Wang Paper 484 13:30 – 13:40 Performance Analysis of a (1+1) Surrogate-assisted Evolutionary Algorithm

Chen Yu and Zou Xiufen Paper 567 13:40 – 13:50

Parameters Selection for Genetic Algorithms and Ant Colony Algorithms by Uniform Design Wenyong Dong, Xueshi Dong

Paper 425 13:50 – 14:00

A Weighted Bacterial Colony Optimization for Feature Selection Hong Wang, Xingjing Jing, Ben Niu

Paper 304 14:00 – 14:15

Hybrid ITO Algorithm for Solving Numerical Optimization Problem Yunfei Yi, Xiaodong Lin, Kang Sheng, Lin Jiang, Wenyong Dong, Yongle Ca

Paper 648 14:15 – 14:30

Structure-Redesign-Based Bacterial Foraging Optimization for Portfolio Selection Ben Niu, Ying Bi, Ting Xie

Paper 642 14:30 – 14:45

Bacterial Foraging Optimization with Neighborhood Learning for Dynamic Portfolio Selection Lijing Tan, Ben Niu, Huali Huang, Qiqi Duan

Paper 649 14:45 – 15:00

Bacterial Colony Optimization for Integrated Yard Truck Scheduling and Storage Allocation Problem Ben Niu, Ting Xie, Ying Bi, Jing Liu

Paper 634 Particle Swarm Optimizations for Multi-Type Vehicle Routing Problem with Time Windows

28

15:00 – 15:15 Xiaobin Gan, Junbiao Kuang, and Ben Niu

Paper 436 15:15 – 15:30

GA-EAM Based Hybrid Algorithm Tripathi Ashish, Kumar Divya, Mishra Krishn Kumar and Misra Arun Kumar

15:30 – 15:50

Coffee Break, 2nd floor

S3: Special Session on Advanced Modeling, Control and Optimization Techniques for Complex Engineering Systems Chairs：Yifan Luo, Fu Hsiang Chen Paper 654 15:50 – 16:10

ANFIS Modeling of PMV Based on Hierarchical Fuzzy System Yifan Luo, Ning Li, Shaoyuan Li

Paper 134 16:10 – 16:25

A BP Neural Network Predictor Model for Stock Price Huo Li, Ning Tao, Jiang Bo, Yin Bo

Paper 413 16:25 – 16:40

A Dynamic Slap Fingerprint Based Verification System Puneet Gupta and Phalguni Gupta

Paper 494 16:40 – 17:55

Dynamic Service Level Aggreement (SLA) Mangement for Cloud Computing Users Waleed Halboob , Haider Abbas, Kamel Haouam

Paper 381 17:55 – 17:10

Position Accuracy Improvement of Robots having Closed-chain Mechanisms Hoai-Nhan Nguyen, Jian Zhou, Hee-Jun Kang.

Paper 391 17:10 – 17:25

On Spacecraft Relative Orbital Motion Based on Main-flying Direction Method Yanchao Sun, Huixiang Ling, Chuanjiang Li, Guangfu Ma, Wenrui Zhao

Paper 653 17:25 – 17:40

A New Compact Teaching-Learning-Based Optimization Method Zhile Yang, Kang Li, and Yuanjun Guo

Afternoon, August 5, Tuesday, Room B, 2nd floor S2: Special Session on Protein and Gene Bioinformatics: Analysis, Algorithms and Applications Chairs：Michael Gromiha, Nashaat Mansour Paper 581 13:30 – 13:50

A Parameterized Algorithm for Predicting Transcription Factor Binding Sites Yinglei Song, Changbao Wang, Junfeng Qu

Paper 272 13:50 – 14:05

Integrative Analysis of Gene Expression and Promoter Methylayion During Reprogramming Non-small Cell Lung Cancer Cell Line Using Principal Component Analysis Based Unsupervised Feature Extraction Y-h. Taguchi

Paper 658 14:05 – 14:20

A New Graph Theoretic Approach for Protein Threading Yinglei Song, Junfeng Qu

Paper 316 14:20 – 14:35

Predicting the Subcellular Localization of Proteins with Multiple Sites Based on Multiple Features Fusion Xumi Qu, Yuehui Chen, Shanping Qiao

Paper 600 14:35 – 14:45

Comparative Assessment of Data Sets of Amino Acid Hot Spots in Protein Interfaces Yunqiang Di, Changchang Wang, Huan Wu and Xinxin Yu

Paper 473 14:45 – 15:00

A Multi-Instance Multi-Label Learning Approach for Protein Domain Annotation Yang Meng, Lei Deng, Zhigang Chen, Fanqiang Kong and Cheng Zhou

Paper 326 15:00 – 15:10

Computational Evaluation of Protein Energy Functions Nashat Mansour, Hussein Mohsen

29

Paper 570 15:10 – 15:20

Identification of Novel of c-Yes Kinase Inhibitors C.Ramakrishnan, A.Mary Thangakani, D. Velmurugan and M. Michael Gromiha

Paper 497 15:20 – 15:30

Evolving Additive Tree Model for Inferring Gene Regulatory Networks Guangpeng Li, Yuehui Chen, Bin Yang, Yaou Zhao

15:30 – 15:50

Coffee Break, 2nd floor

15:50 – 18:00 Technical Committee Meeting

Chair：De-Shuang Huang

Afternoon, August 5, Tuesday, Room C, 2nd floor

R5: Modeling, Simulation, and Optimization of Biological Systems Chairs：Henry Han, Davood Kalhor Paper 183 13:30 – 13:45

Predicting Protein-protein Interaction Sites by Rotation Forests with Evolutionary Information Xinying Hu, Anqi Jing and Xiuquan Du

Paper 292 13:45 – 14:00

Combine Multiple Mass Spectral Similarity Measures for Compound Identification in GC-MS Li-Huan Liao, Yi-Fei Zhu, Li-Li Cao, Jun Zhang

Paper 359 14:00 – 14:15 A Framework for Automatic Hair Counting and Measurement

Qian Zhang Paper 309 14:15 – 14:30

Classification of Ventricular Tachycardia and Fibrillation Based on the Lempel–Ziv Complexity and EMD Deling Xia, Qingfang Meng, Yuehui Chen

Paper 307 14:30 – 14:40

Metagenomic Phylogenetic Classification Using Improved Naive Bayes Yuki Komatsu, Takashi Ishida, Yutaka Akiyama

Paper 659 14:40 – 14:50

Early Detection method of Alzheimer’s disease Using EEG Signals Dhiya Al-Jumeily, Shamaila Iram, Abir Hussain, Francois-Benois Vialatte, Paul Fergus

Paper 669 14:50 – 15:00

A Study of Data Classification and Selection Techniques for Medical Decision Support Systems Ahmed J. Aljaaf, Dhiya Al-Jumeily, Abir J. Hussain, David Lamb, Mohammed Al-Jumaily and Khaled Abdel-Aziz

Paper 504 15:00 – 15:10

Evaluation of Advanced Artificial Neural Network Classification and Feature Extraction Techniques for Detecting Preterm Births Using EHG Records Paul Fergus, Ibrahim Olatunji Idowu, Abir Hussain, Chelsea Dobbins, Haya Al-Askar

Paper 540 15:10 – 15:25

An Advanced Machine Learning Approach to Generalised Epileptic Seizure Detection Paul Fergus, David Hignett, Abir Hussain and Dhiya Al-Jumeily

15:25 – 15:50 Coffee Break, 2nd floor

S4: Special Session on Intelligent Computing in Scheduling and Engineering Optimization Chairs：Ling Wang, Kuremoto Takashi Paper 277 15:50 – 16:10

An Effective Estimation of Distribution Algorithm for Multi-Track Train Scheduling Problem

30

Shengyao Wang, Ling Wang

Paper 355 16:10 – 16:30

An Enhanced Estimation of Distribution Algorithm for No-wait Job Shop Scheduling Problem with Makespan Criterion Shao-Feng Chen, Bin Qian, Rong Hu, Zuo-Cheng Li

Paper 109 16:30 – 16:45

A Grouped Fruit-fly Optimization Algorithm for the No-Wait Lot Streaming Flow Shop Scheduling Peng Zhang, Ling Wang

Paper 319 16:45 – 16:55

Time to Fault Minimization for Induction Motors Using Wavelet Transform Ghods Amirhossein , Lee Hong-Hee

Paper 632 16:55 – 17:05

A Bayesian Statistical Inference-based Estimation of Distribution Algorithm for the Re-entrant Job-shop Scheduling Problem with Sequence-dependent Setup Times Shao-Feng Chen, Bin Qian, Bo Liu, Rong Hu, Chang-Sheng Zhang

Paper 414 17:05 – 17:15

Regularized Dynamic Self Organized Neural Network Inspired by the Immune Algorithm for Financial Time Series Prediction Haya Al-Askar, Abir Jaafar Hussain, Dhiya Al-Jumeily and Naeem Radi

Paper 416 17:15 – 17:30

Feature Analysis of Uterine Electrohystography Signal Using Dynamic Self-organised Multilayer network Inspired by the Immune Algorithm Haya Alaskar, Abir Jaafar Hussain, Paul Fergus, Dhiya Al-Jumeily and Hissam Tawfik

31

The Tenth International Conference on Intelligent Computing

Taiyuan, China, August 3-6, 2014

www.ic-ic.org

icic@tongji.edu.cn

32