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Invited Talks
Technocare System by Robotic Technology
Toshio Fukuda
Nagoya University
It has been very more important to make use of the mechatronic and robotic technology to assist
and support human life, in particular, aged people in the age quake today. Those technology based
care systems, called �technocare system�, have been advocated for the help of human both for young
people to take care of senior people and for senior people to live as independently as possible.
There are many devices and systems developed but much more needs done in terms of functionalities,
costs and standardization. This presentation highlight some of these problems and provides possible
directions for the future.
Bio »
Toshio Fukuda received Dr. Eng. from the University of Tokyo in 1977. In 1977, he joined the National Mechanical Engineering Laboratory and became Visiting Research Fellow at the University of Stuttgart from 1979 to 1980. He joined the Science University of Tokyo in 1982, and then joined Nagoya University in 1989. Currently, he is Professor of Department of Micro-Nano System Engineering and Department of Mechanical Science and Engineering, and Director of Micro-Nano Mechatronics Research Center, Nagoya University, Japan, mainly engaging in the research fields of intelligent robotic and mechatronic system and micro-nano robotics.
He is an author of six books, editing five books and has published over 1,000 technical papers in robotics, mechatronics, automation and micro-nano robot areas. He was awarded, IEEE Eugene Mittlemann Award (1997), IEEE Millennium Medal (2000), Alexander von Humboldt Foundation Research Award(2002), Pioneer Award in Robotics and Automation (2004), Best Googol Application Paper award from IEEE Transaction on Automation Science and Engineering (2007) and many other awards. He was awarded for IEEE George Saridis Leadership award (2009). He was IEEE Robotics and Automation Society President (1998 - 1999), Editor-in-Chief, IEEE / ASME Transactions on Mechatronics (2000-2002), IEEE Division X Director (2001-2002), and IEEE Nanotechnology Council President (2002-2005 ). IEEE Fellow (1995), SICE Fellow (1995), JSME Fellow (2001), RSJ Fellow(2004), member of Japan Science Council (2008-).
Distributed Intelligence: A Paradigm Shift
William A. Gruver, PhD, FIEEE
Simon Fraser University
Intelligent Robotics Corporation
Centralized systems are unsuitable for large-scale systems integration because of their high
reliance on centralized communication, high complexity, lack of scalability, and high cost of
integration. The use of distributed intelligence technologies avoids these weaknesses by building
intelligent systems with physical and software agents that operate autonomously to independently
handle specialized tasks and cooperate to satisfy system-level goals and achieve a high degree of
flexibility.
This lecture is an introduction to the technologies and applications of distributed
intelligent systems for dynamically changing, networked environments. It describes how a peer-to-
peer environment can be built to distribute the logistical and strategic requirements of a system,
while improving robustness and scalability. The presenter will contrast centralized and
distributed systems, survey development frameworks for distributed systems, describe recent
advances based on multi-agent and holonic systems, and survey applications involving manufacturing
automation, distributed scheduling, automated decision support, RFID tracking, and distributed
energy systems.
Bio »
William A. Gruver is President of Intelligent Robotics Corporation specializing in the development of distributed automation systems and Professor Emeritus of Engineering Science at Simon Fraser University where he directs the Intelligent/Distributed Enterprise Automation Laboratory. He received the PhD, MSEE, and BSEE degrees from the University of Pennsylvania and a postgraduate degree in Automatic Control Systems from Imperial College, London.
His experience includes management and technical leadership positions at GE Factory Automation Products Division in Charlottesville; GE Industrial Automation Center in Frankfurt, Germany; IRT Corporation in San Diego, Center for Robotics and Manufacturing Systems in Lexington, Kentucky; and Logistics Technology International, a California based startup that he co-founded. He has also held engineering and faculty positions at NASA Marshall Space Flight Center, DFVLR German Space Research Center, Technical University Darmstadt, United States Naval Academy, University of Kentucky, and North Carolina State University.
He has published 225 technical papers and three books on robotics, manufacturing automation, control systems, and optimization. Currently his interests include technologies and applications of multi-agent and holonic systems, RFID tracking, and reconfiguragble FPGAs.
Dr. Gruver is a Fellow of the IEEE and a Fellow of the Engineering Institute of Canada. He is a Past President of the IEEE Systems, Man, and Cybernetics Society, an IEEE Division Director, and member of the IEEE Board of Directors. He has served as an Associate Editor for the IEEE Transactions on Robotics and Automation, Associate Editor of the IEEE Transactions on Control Systems Technology, and was a founding officer of the IEEE Robotics and Automation Society. Currently, Dr. Gruver is an Associate Editor of the IEEE Transactions on Systems, Man, and Cybernetics and he co-chairs the SMC Society�s Technical Committee on Distributed Intelligent Systems.
Are We Ready for 3D Video?
Ze-Nian Li
Simon Fraser University
Ever since the movie Avatar, we have witnessed a surge of 3D video and 3D TV products in cinemas and broadcasting industries. Most of them use stereoscopic images and the traditional viewing methods require the users to wear glasses (anaglyph, polarized, or shutter glasses). In the first half of this talk, we will review these technologies and compare their performances in terms of the image and video brightness, limitation on motion and depth changes, 3D effects, and eye strains. We will also review several new technologies that do not require glasses. In the second half of the talk, we will discuss techniques for 3D video assessment and enhancement. While subjective quality assessment of 2D video is a mature field, the metrics for subjective and objective assessments of 3D video are still being developed. We will examine some fundamental issues involving human perception of 3D including the vergence-accommodation conflict, and the impact of visual masking and visual attention models.
Bio »
Ze-Nian Li is a Professor in the School of Computing Science at Simon Fraser University, British Columbia, Canada. Dr. Li received his undergraduate education in Electrical Engineering from the University of Science and Technology of China, and M.Sc. and Ph.D. degrees in Computer Sciences from the University of Wisconsin-Madison under the supervision of the late Professor Leonard Uhr. His current research interests include computer vision, multimedia, pattern recognition, image processing, and artificial intelligence. Dr. Li has published well over 100 refereed papers in journals and conference proceedings. He is the co-Director of the Vision and Media Lab. He is also the co-author of the book "Fundamentals of Multimedia" published by Prentice Hall in 2004. Dr. Li is the Associate Editor for ACM Transactions on Intelligent Systems and Technology (ACM TIST), and International Journal of Image and Graphics (IJIG). He is an International Editorial Board member for Journal of Zhejiang University -- Science C: Computers and Electronics. He serves on a number of Conference Program Committees including ACM Multimedia and ICME.
Ambient Assistive Living systems for independence and quality of life of seniors
Andrew Sixsmith, PhD
Simon Fraser University
The presentation discusses a number of recent research initiatives in the area of Ambient
Assistive Living (AAL). Advances in information and communications technologies offer many
opportunities to help older people living at home, by providing additional safety and security,
supporting independent living and improving quality of life. A key concern within this work is
to move away from technology-push and problem-focused approaches to researching technology and
ageing to an approach that is driven by a better understanding of the needs and preferences of
seniors themselves. Older people are not a homogenous group and AAL systems to promote healthy
and independent living need to reflect the very diverse needs of this population group.
Bio »
Andrew Sixsmith has been Professor and Director of the Gerontology Research Centre at Simon Fraser University since September 2007. Dr. Sixsmith is an executive board member of the International Society of Gerontechnology and was Chair of the 7th World Conference of the Society in Vancouver in 2010. He has been particularly involved in the strategic development of research in the area of technology for independent living. Since 2000, he has attracted funding for several prestigious research projects from the European Commission and the Engineering and Physical Sciences Research Council, Department of Health and Department of Industry in the UK and CIHR in Canada. Dr. Sixsmith has substantial teaching experience within gerontology and has been responsible for innovatory educational initiatives in the UK and internationally. He has published many papers in Journals such as the Gerontologist and Ageing and Society.
Intelligent Pattern Recognition and Applications
Prof. Patrick S.P. Wang, Ph.D., IAPR Fellow, ISIBM Fellow
Northeastern University Boston
East China Normal University
This talk deals with fundamental aspects of Intelligent Pattern Recognition (IPR) and
applications. It basically includes the following: Overview of 3D Biometric Technology and
Applications, Importance of Security: A Scenario of Terrorists Attack, What are Biometric
Technologies? Biometrics: Analysis vs Synthesis, Analysis: Interactive Pattern Recognition
Concept, Importance of Measurement, How it works: Fingerprint Extraction and Matching,
Iris, and Facial Analysis, Authentication Applications, Thermal Imaging: Emotion Recognition.
Synthesis in Biometrics, Modeling and Simulation, and more Examples and Applications
of 3D Biomedical Imaging in Interactive Web/Video Networking Fuzzy Learning Environment.
Finally, some future research directions are discussed.
Bio »
Prof. Patrick S.P. Wang, PhD. IAPR Fellow, ISIBM Fellow and IEEE Outstanding
Achievement Awardee, and is Tenured Full Professor, Northeastern University, USA, iCORE
(Informatics Circle of Research Excellence) Visiting Professor, University of Calgary,
Canada, Otto-Von-Guericke Distinguished Guest Professor, Magdeburg University, Germany, Zijiang
Visiting Chair, ECNU, Shanghai, China, NSC Visiting Chair, NTUST, Taiwan, as well as honorary
advisory professor of several key universities in China, including Sichuan University, Xiamen
University, East China Normal University, Shanghai, and Guangxi Normal University, Guilin.
Prof. Wang received his BSEE from National Chiao Tung University (Jiaotong University), MSEE from
National Taiwan University, MSICS from Georgia Institute of Technology, and PhD, Computer Science
from Oregon State University.
Dr. Wang has published over 25 books, 150 technical papers, 3 USA/European Patents, in PR/AI/TV/ Cybernetics/Imaging, and is currently founding Editor-in-Chief of IJPRAI (International Journal of Pattern Recognition and Artificial Intelligence) , and Book Series of MPAI, WSP. In addition to his
technical interests, Dr. Wang also published a prose book, �Harvard Meditation Melody� and many articles and poems regarding Du Fu and Li Bai�s poems, Beethoven, Brahms, Mozart and Tchaikovsky�s symphonies, and Bizet, Verdi, Puccini and Rossini�s operas.
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