The 4th International Conference on
Intelligent Information Technology Application (IITA 2010)

Intelligent Technology for Ubiquitous World

Qinhuangdao, China, November 5 - 7, 2010

The 4th International Conference on Intelligent Information Technology Application

2010 IITA Confernece Keynote Speakers

Keynote Speech 1
Intelligent Signal Processing and Communication Techniques
for Cognitive Radio Networks

Speaker: Prof. Xiaodong Wang
Electrical Engineering Department
Columbia University
New York, NY 10027, USA

The cognitive radio is an intelligent wireless communication system that is aware of its environment and uses the methodology of understanding-by-building to learn from the environment and adapt to statistical variations in the input stimuli, to achieve highly reliable communication whenever and wherever needed and efficient utilization of the radio spectrum. Cognitive radios, as sensing-capable agents, are able to monitor the dynamics of the spectral activity in wireless networks. The sensed information can be collectively processed in order to identify the segments of the spectrum under-utilized by the legacy (primary) users. The cognitive (secondary) users can benefit from this fact and opportunistically access such under-utilized spectrum segments (spectral holes). Due to the transient and rapidly-changing nature of the spectrum occupancy, the secondary users must be agile in identifying the spectrum holes to enhance their spectral efficiency. We provide an overview of several intelligent spectrum sensing techniques developed recently, such as beacon-assisted cooperative spectrum sensing and adaptive sensing of wideband spectrum. We then consider distributed beamforming and rate allocation in cognitive radio networks in which multiple secondary transceivers co-exist with multiple primary ones. The problem is to design beam vectors for the secondary users in a distributed fashion, which optimize some utility and respect these interference margins. We not only consider multiple transceiver links but also allow for advanced decoding at some or all of the secondary receivers. We characterize the   resulting achievable rate regions and propose intelligent distributed algorithms for both beamforming and rate allocation.


Xiaodong Wang ( received the Ph.D degree in Electrical Engineering from Princeton University. He is now a Professor in the Department of Electrical Engineering, Columbia University in New York. Dr. Wang's research interests fall in the general areas of computing, signal processing and communications. He has worked in the areas of wireless communications, statistical signal processing, parallel and distributed computing, and bioinformatics. His publication record includes over 220 journal papers and over 200 refereed or invited conference papers. Among his publications is a book entitled Wireless Communication Systems: Advanced Techniques for Signal Reception, published by Prentice Hall in 2003. His current research focuses include statistical signal processing, wireless communications, and genomic signal processing. Dr. Wang has received the 1999 NSF CAREER Award. He has also received the 2001 IEEE Communications Society and Information Theory Society Joint Paper Award. He has served as an Associate Editor for the IEEE Transactions on Signal Processing, the IEEE Transactions on Communications, the IEEE Transactions on Wireless Communications, and the IEEE Transactions on Information Theory. He is a Fellow of the IEEE and listed as an ISI Highly Cited Researcher (

Keynote Speech 2
Video Monitoring and 3D Videos: New Research and Application Perspectives

Speakers:Professor W.C. Siu
Chair Professor
The Hong Kong Polytechnic University
Home Page :

Whilst many commercial surveillance systems are still in analogue form, the digital design is taking up the new installations and moves very quickly to high-definition (HDTV) quality. A modern digital monitoring system usually involves a bunch of hi-tech technologies relating to video coding, video recording, object recognition, object tracking, etc. In this talk we are going to highlight some of the research results and technologies, such as motion estimation, depth estimation, object recognition and monitoring, for this application. We subsequently will talk about our strategy of porting these research results into industrial uses, such as video coding, transcoding, video monitoring and driver assistant systems using videos. Moving towards high-resolution is certainly a trend, but adding new features, such as multi-view and 3D videos, is yet another dimension of hi-tech development to achieve. In the latter part of this talk, we will also introduce our recent work on 3D videos and its applications to 3DTV, 3D monitoring, 3D mosaicing and 3D surveillance. Fruitful demonstrations and illustrations will be included, and the presentation will end with brief ideas on new trends and future applications.


Professor Wan-Chi Siu (AP(HK) PolyU, MPhil CUHK, PhD, DIC Imperial College, UK) joined the Hong Kong Polytechnic University as a lecturer in 1980, and has become Chair Professor in the Department of Electronic and Information Engineering since 1992. He was Head (EIE) and subsequently Dean of Engineering Faculty between 1994 and 2002. Professor Siu is now Director of the Centre for Signal Processing of the same university. He is an expert in Digital Signal Processing, specializing in fast algorithms and video coding, and has published 350 research papers, over 160 of which appeared in international journals, such as IEEE Transactions on Image Processing. His research interests also include transforms, image coding, wavelets, and computational aspects of pattern recognition. Professor Siu has been/was Guest Editor, Associate Editor and Member of editorial board of a number of journals, including IEEE Transactions on Circuits and Systems, Pattern Recognition, Journal of VLSI Signal Processing Systems for Signal, Image, Video Technology, and the EURASIP Journal on Applied Signal Processing. He is a very popular lecturing staff member within the University, while outside the University he has been a keynote speaker of over 10 international/national conferences in the recent 10 years, and an invited speaker of numerous professional events, such as IEEE CPM’2002 (keynote speaker, Taipei, Taiwan), IEEE ISIMP’2004 (keynote speaker, Hong Kong), and IEEE ICICS’07 (invited speaker, Singapore) and IEEE ICNNSP’2008 (keynote speaker, Zhenjiang). He is the organizer of many international conferences, including recently the MMSP’08 (Australia) as General Co-Chair, and three IEEE Society sponsored flagship conferences: ISCAS’1997 as Technical Program Chair; ICASSP’2003 as the General Chair; and ICIP’2010 as the General Chair (2010 IEEE International Conference on Image Processing, held in Hong Kong, 26-29 September 2010 with 1450 attendees from 44 countries). Prof. Siu is also the President Elect (2011-2013) of a new professional association, the “Asia-Pacific Signal and Information Processing Association”, APSIPA. In 1994 he chaired the first Engineering and Information Technology Panel of the Research Assessment Exercise (RAE) to assess the research quality of 19 Cost Centers (departments) from all universities in Hong Kong. He has received many awards, including the IEEE Third Millennium Medal (2000, USA), the Best Teacher Award (2003, HK), the Outstanding Award in Research (2003, HK), Plaque for Exceptional Leadership from IEEE SPCB (2003, USA), and Honorable Mention Winner Award from Pattern Recognition (2004, UK).

Keynote Speech 3
Information Steganography Using Magic Matrix

Speaker: Prof. Chin-Chen Chang (Taiwan), Professor, IEEE and IET Fellow
Department of Information Engineering and Computer Science
Feng Chia University
Research Fields: Database Design, E-Business Security,
Electronic Imaging Techniques, and Computer Cryptography

Steganography is the science of secret message delivery using cover media. A digital image is a flexible medium used to carry a secret message because the slight modification of a cover image is hard to distinguish by human eyes.
In this talk, I will introduce four  methods: VQ codewords pairing based method, Kim et al.'s method,  Zhang and Wang’s method and Sudoku solutions. The later three all base on the concept of magic matrix. A selected Sudoku solution is used to guide cover pixels’ modification in order to imply secret data. Because the number of possible Sudoku solutions is very large, the proposed method is more secure than Kim et al's  method and Zhang andWang’s method. From the experimental results, the visual quality of stego images produced by the Sudoku method is higher than 44 dB in average, which is slightly less than that of related works; however, the embedding capacity of the proposed method is 1.5 bit per pixel, which is greater than that of the related works.

Professor Alan Chin-Chen Chang obtained his Ph.D. degree in computer engineering from Chiao Tung University. His first degree is Bachelor of Science in Applied Mathematics and master degree is Master of Science in Computer and Decision Sciences. Both were awarded in Tsing Hua University. Dr. Chang served in Chung Cheng University from 1989 to 2005. His current title is Chair Professor in Department of Information Engineering and Computer Science, Feng Chia University, from Feb. 2005. Prior to joining Feng Chia University, Professor Chang was an associate professor in Chiao Tung University, professor in Chung Hsing University, chair professor in Chung Cheng University. He had also been Visiting Researcher and Visiting Scientist to Tokyo University and Kyoto University, Japan. During his service in Chung Cheng, Professor Chang served as Chairman of the Institute of Computer Science and Information Engineering, Dean of College of Engineering, Provost and then Acting President of Chung Cheng University and Director of Advisory Office in Ministry of Education, Taiwan.

Professor Chang’s specialties include, but not limited to, data engineering, database systems, computer cryptography and information security. A researcher of acclaimed and distinguished services and contributions to his country and advancing human knowledge in the field of information science, Professor Chang has won many research awards and honorary positions by and in prestigious organizations both nationally and internationally. He is currently a Fellow of IEEE and a Fellow of IEE, UK. And since his early years of career development, he consecutively won Outstanding Youth Award of Taiwan, Outstanding Talent in Information Sciences of Taiwan, AceR Dragon Award of the Ten Most Outstanding Talents, Outstanding Scholar Award of Taiwan, Outstanding Engineering Professor Award of Taiwan, Chung-Shan Academic Publication Awards, Distinguished Research Awards of National Science Council of Taiwan, Outstanding Scholarly Contribution Award of the International Institute for Advanced Studies in Systems Research and Cybernetics, Top Fifteen Scholars in Systems and Software Engineering of the Journal of Systems and Software, and so on. On numerous occasions, he was invited to serve as Visiting Professor, Chair Professor, Honorary Professor, Honorary Director, Honorary Chairman, Distinguished Alumnus, Distinguished Researcher, Research Fellow by universities and research institutes. He also published more than 1200 papers in Information Sciences. In the meantime, he participates actively in international academic organizations and performs advisory work to government agencies and academic organizations.

Keynote Speech 4
Intelligent Control of Nonlinear Hysteretic Electric Throttle in Modern Intelligent Automobiles
Speaker: Prof. Chi-Hsu Wang (Taiwan), IEEE Fellow, PhD, Distinguished Professor, Department of Electrical Engineering, National Chiaotung University, Hsinchu, Taiwan


The nonlinear hysteretic system (NHS) is very common in our physical systems, such as magnetized iron or the thermostat have this undesirable and yet inevitable property. The hysteresis is often used specifically to represent rate-independent state, as shown in Figure 1. A new intelligent control methodology, which is based on the fuzzy logic approach, will be proposed in this talk. In fact we will concentrate on the intelligent control of the nonlinear hysteretic electric throttle (ET) adopted in modern automobiles. This control task is very important because it concerns lots of real human lives who are driving automobiles every day. An electric throttle is a brushless-dc-motor-driven valve that regulates air inflow into the combustion system of the engine. The closed-loop throttle control system, as shown in Figure 2, should ensure fast and accurate reference tracking of the valve plate angle while preventing excessive wear of the throttle components by constraining physical variables to their normal-operation domains. These high quality control demands are hard to accomplish since the plant is burdened with strong nonlinear effects of friction, spring and limp-home nonlinearity. In this talk, the ET is identified as a Nonlinear Hysteresis System (NHS) with rate dependency and its property is shown in Figure 1. The NHS shown in Figure 1 is input/output bounded, i.e., ?and . In Figure 1, when the input force x(t) increases, i.e., Dx(t)>0, the ET will operate from close to open, which is ?in Figure 1. When x(t) decreases, i.e., Dx(t)<0, the ET will operate from open to close, which is ?in Figure 1. Not only the theoretical aspects will be discussed, but also the real hardware implementation of our new methodology using advanced microcontrollers will be shown in this talk. For conclusion, we can say that the intelligent controller synthesis is performed in real time by solving an intelligent control problem of the nonlinear electronic throttle. The following Figure 3 shows the results of real-time hardware implementation.

Chi-Hsu Wang (M'92-SM'93-F'08) was born in Tainan, Taiwan, in 1954. He received the B.S. degree in control engineering from National Chiaotung University, Hsinchu, Taiwan, the M.S. degree in computer science from the National Tsinghua University, Hsinchu, Taiwan, and the Ph.D. degree in electrical and computer engineering from the University of Wisconsin, Madison, in 1976, 1978, and 1986, respectively.

He is currently a Distinguished Professor in the department of electrical engineering, National Chiaotung University, Hsinchu, Taiwan. His current research interests and publications are in the areas of digital control, fuzzy-neural-network, intelligent control, adaptive control, and especially the intelligent control for modern automobiles for AVCSS/AVS (Advanced vehicles control and safety systems/Advanced Safety vehicles). He has published over 200 international journal and conference papers.? In 2006, Dr. Wang was awarded the Outstanding Contribution Award from IEEE Systems, Man, and Cybernetics Society, due to his significant contribution in his research areas.? Dr. Wang is an IEEE Fellow. He is currently serving as an associate editor of IEEE Trans. On Systems, Man, and Cybernetics, Part B and Webmaster of IEEE Systems, Man, and Cybernetics Society.