Keynote Speech 1: From Grid Computing to Cloud Computing: Experiences on Virtualization Technology
Speaker: Prof. Hai Jin
Chief Scientist, ChinaGrid Project
Chief Scientist, Virtualization Technology for Computing System (973 Project)
Director, Services Computing Technology and System Lab.
Director, Cluster and Grid Computing Lab.
Dean, School of Computer Science and Technology
Huazhong University of Science and Technology
Wuhan, 430074, China
Abstract-In recent years, we see a great change from grid computing to cloud computing. Cloud computing is among the most popular words in computing today. As technology foundation, virtualization technology (VT) becomes a re-emerging technology for recently years. It is a decoupling technique that separating system software from hardware platform, while making applications to run pervasively. Many academic institutes and research lab from industries has devoted great research efforts in various aspects. In 2007, Chinese Ministry of Science and Technology initialize a basic research project (973 project) with 6 universities and 2 research institutes on virtualization technology for computing system in many topics, such as architecture design philosophy of virtualization technology, VT design for single computing system, VT design for multiple computing systems, user environment for VT, security, reliability and trust issue related to VT, and performance evaluation and benchmarking for computing system with VT. In this talk, we will give insight for this project. Our experiences on VT research are discussed in detail, including power management, virtual machine live migration, memory/IO virtualization, and desktop virtualization.
Biography-Hai Jin is a Cheung Kung Scholars Chair Professor of computer science and engineering at the Huazhong University of Science and Technology (HUST) in China. He is now Dean of the School of Computer Science and Technology at HUST. Jin received his PhD in computer engineering from HUST in 1994. In 1996, he was awarded a German Academic Exchange Service fellowship to visit the Technical University of Chemnitz in Germany. Jin worked at The University of Hong Kong between 1998 and 2000, and as a visiting scholar at the University of Southern California between 1999 and 2000. He was awarded Excellent Youth Award from the National Science Foundation of China in 2001. Jin is the chief scientist of ChinaGrid, the largest grid computing project in China, and the chief scientist of National 973 Basic Research Program Project of Virtualization Technology of Computing System.
Jin is a senior member of the IEEE and a member of the ACM. Jin is the member of Grid Forum Steering Group (GFSG). He has co-authored 15 books and published over 400 research papers. His research interests include computer architecture, virtualization technology, cluster computing and grid computing, peer-to-peer computing, network storage, and network security
Jin is the steering committee chair of International Conference on Grid and Pervasive Computing (GPC), Asia-Pacific Services Computing Conference (APSCC), International Conference on Frontier of Computer Science and Technology (FCST), and Annual ChinaGrid Conference. Jin is a member of the steering committee of the IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGrid), the IFIP International Conference on Network and Parallel Computing (NPC), and the International Conference on Grid and Cooperative Computing (GCC), International Conference on Autonomic and Trusted Computing (ATC), International Conference on Ubiquitous Intelligence and Computing (UIC).
Keynote Speech 2: Life Extending and Adaptive Sensor Fault Detection and Identification in Health Monitoring Systems
Speaker: C. L.
Chair Professor and Dean
Faculty of Science and Technology
University of Macau, Macau SAR, China
Abstract-We have modeled and calculated the probability of failure due to component damage. Using this model, a Monte Carlo simulation is also performed to evaluate the likelihood of damage accumulation under various operating conditions. Using thermal mechanical fatigue (TMF) of a critical component as an example, it has been shown that that an intelligent acceleration algorithm can drastically reduce life usage with minimum sacrifice in performance. By means of genetic search algorithms, optimal acceleration schedules can be obtained with multiple constraints. The simulation results show that an optimized acceleration schedule can provide a significant life saving in selected engine components.
Usually, solutions to sensor validation fall into two major categories: the data-based approaches and the model-based approaches. Model-based methods include nonparametric and parametric approaches. Belonging to the first category are neural-network-bank based approaches. The non-parametric methods are more robust, but a large number of training data are needed nevertheless. On the other hand, parametric approaches, including dynamic state space models (DSSM), provide better accuracy and tracking performance without the need of training. The price paid here is the need for high fidelity real-time system models. Particle filter (PF) is an alternative name for sequential importance sampling for DSSM. PF has been commonly employed to online processing of dynamic systems described by DSSM. We will also discuss a Markov jump DSSM (MJDSSM) for system modeling and mixture Kalman filter (MKF) solution-- a unique and efficient particle filtering detector being developed.
The ultimate goal of engine health monitoring is to maximize the amount of meaningful information to perform diagnostics and prognostics on engine health. To achieve highest level of intelligence in different levels and aspects, in the future work, we propose to implement the concept of data fusion that integrates data from multiple sources to obtain improved accuracy and more specific results.
Note: The presented work is funded by NASA and U.S. Air Force of Scientific Research.
Dr. Chen has been a visiting research scientist at the Materials Directorate, U.S. Air Force Wright Lab. He has been a senior research fellow sponsored by the U.S. National Research Council and a research faculty fellow for NASA Glenn Research Center for several years. His current research interests include theoretical development in computational intelligence, intelligent systems, robotics and manufacturing automation, networking, diagnosis and prognosis, life prediction and life-extending control. Credited to his technical contribution, he is an elected IEEE Fellow and AAAS Fellow (www.aaas.org).
Dr. Chen has been active in many IEEE international conference services and publications as a Program Chair and Organizing Committee. He is the General Chair of the 2009 IEEE Systems, Man, and Cybernetics (SMC) annual conference, the General Co-Chair of 2008 IEEE SSIRI (Secure System Integration and Reliability Improvement), a Program Co-Chair of 2008 & 2010 ICMLC. He is the founding SMC Chapter Chair at Central Texas Section, Macau Chapter, and founding Co-Chairs of three
Keynote Speech 3: Delivering Secret Messages Using Chat Tools
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
Abstract –Written text contains less redundant spaces which could be used for embedding, so embedding secrets into written texts is a challenging task.
To break through the difficulty of text steganography, a text steganography in chat scheme was proposed in 2007.
This scheme uses the abbreviations used in SMS-texting language to conceal secret data into chat sentences.
As communications via chat room become more and more popular in people’s lives, we propose another new text steganography method which is also used in chat rooms.
The proposed scheme uses emotional icons (also called emoticons) to hide secret bits into the sentences used in chat.
Due to the tremendous numbers of emoticons used in many kinds of chat rooms, this method improves the embedding capacity of the previous method obviously.
In addition, the experimental results show the easy-to-use character of the proposed scheme.
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: Researches and practices in industrial energy conservation
Speaker: Prof. Dejiang Zhang
Research fields: Automatic control and optimization algorithms for energy conservation, signal processing etc.
Abstract- Researches and practices for industrial energy conservation are very important to both China and world. In the paper, first we talk about the world energy supplies in china and world, which include global energy structure and reserves, China energy reserves, China energy production and consumption now-days and China energy problems. Second we introduce our main researches and practices in industrial energy conservation. Key energy conservation activities are in the field of industry energy conservation, construction energy conservation and traffic energy conservation; ways of energy conservations are in industrial structure optimization, technology energy conservation and management energy conservation and public participation; application and promotion of energy conservation are in the areas of matured technologies, common technologies, energy conservation in key production line, low energy consumption technologies in construction and energy conservation in traffic. In the project of Harmonic absorption and power factor compensation in the electric furnace, the adaptive control to the net harmonic and SVC three-phase reactive compensation method is applied to compensate the power factor. 10kv electrical power transformer experimental system has the functions of parameter measurement, consumption analysis and automatic control for the electric transformer, offers the experimental platform for the detection of transformer production and energy consumption analysis.
Biography- Professor Zhang Dejiang got his BS degree in 1976 from Xian Jiaotong University and worked as a teacher in the same university since then. Professor Zhang got his MS degree from Harbin Institute of Technology in 1978 majored in information processing and pattern recognition. As a lecturer, associate professor in 1982 and 1988 respectively, he has been working as a professor in Changchun university of Technology (Being renamed from Jilin Institute of Technology in March 2002) since 1995. In 2003, professor Zhang has been appointed as Ph.D advisor by Changchun institute of optics, fine mechanics and physics, Chinese academy of sciences. Now he is the president of Changchun university of Technology. From August 1999 to February 2000, professor Zhang were in the University of Pittsburgh as a visiting scholar. In 2006 he got his PH.D degree from Huazhong University of Science and Technology majored in higher professional education.
Over the years, professor Zhang teaches 9 undergraduate courses and 7 graduate courses. He is the key person in the National Excellent Course” computer control system” , academic leader of the key subject in Jilin province “measurement and automation instrument”, leader in Jilin Industrial Energy Technology Innovation Centre, the chief of the National Excellent automated teaching team in changchun university of Technology, the person in charge of Education Department Innovation experimental zone-- electrical engineering and automation innovation experimental zone in changchun university of technology and the leader of the National characteristic specialty---automation in changchun university of technology.
In the areas of automation and higher education management, professor Zhang completed 16 research projects, published more than 120 papers, 2 books and 4 teaching books. Professor Zhang won 2 national second prizes for excellent teaching achievement, 1 top and 2 first prize for outstanding teaching achievement in Jilin province. In the research areas, professor Zhang got 1 Jilin Science and Technology Progress second award, 1 Jilin Social Science Research Excellence third class in book publication, 1 State Education Science and Technology Progress third award.