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Wednesday, December 10Th, 2014 Decemeber 9-12, 2014 IEEE SSCI 2014 Orlando, Florida, U.S.A. 20142014 IEEEIEEE SYMPOSIUMSYMPOSIUM SERIESSERIES ONON COMPUTATIONALCOMPUTATIONAL INTELLIGENCEINTELLIGENCE Conference Program Tuesday, December 9th, 2014 12:00pm- Registration (Grand Sierra Registration SOUTH): 12:00pm-6:00pm Reception (Grand Sierra A, B & C): 6:00pm-8:00pm 8:00pm Wednesday, December 10th, 2014 Antigua Antigua Antigua Bonaire Bonaire Bonaire Bonaire Bonaire Bonaire Bonaire Bonaire Curacao Curacao Curacao Curacao Curacao Room Names 2 3 4 1 2 3 4 5 6 7 8 1 2 3 4 7 8:00-8:10am Opening Remarks (Grand Sierra D) 8:10-9:10am Plenary Talk (Grand Sierra D) 9:10-9:20am Break 9:20-10:00am CIBD IES CIHLI CCMB CIPLS CIComms SDE CICS CIEL CIR2AT CIMSIVP ADPRL CIDM SIS CIASG DC 10:00-10:20am Break 10:20am- CIBD IES CIHLI CCMB CIPLS CIComms SDE CICS CIEL CIR2AT CIMSIVP ADPRL CIDM SIS CIASG DC 12:00pm 12:00-1:30pm Lunch Break 1:30-3:10pm CIBD IES CIHLI CCMB CIPLS CIComms SDE CICS CIEL CIR2AT CIMSIVP ADPRL CIDM SIS CIASG DC 3:10-3:30pm Break 3:30-5:10pm CIBD IES CIHLI CCMB CIPLS CIComms SDE CICS CIEL CIR2AT CIMSIVP ADPRL CIDM SIS CIASG DC 15 Thursday, December 11th, 2014 Antigua Antigua Antigua Bonaire Bonaire Bonaire Bonaire Bonaire Bonaire Bonaire Bonaire Curacao Curacao Curacao Curacao Curacao Room Names 2 3 4 1 2 3 4 5 6 7 8 1 2 3 4 7 8:00-9:00am Plenary Talk (Grand Sierra D) 9:00-9:20am Break Big ADPRL Ghosts SIS 9:20-10:00am CICA ICES CIBIM MCDM RiiSS CIVTS CIES ISIC FOCI EALS Data Talk Competition Talk Panel 10:00-10:20am Break 10:20am- CICA ICES CIBIM MCDM RiiSS CIVTS CIES ISIC FOCI EALS CIMSIVP ADPRL CIDM SIS CIASG DC 12:00pm 12:00-1:30pm Lunch Break 1:30-3:10pm CICA ICES CIBIM MCDM RiiSS CIVTS CIES ISIC FOCI EALS CIMSIVP ADPRL CIDM SIS CIASG DC 3:10-3:30pm Break DC 3:30-5:10pm CICA ICES CIBIM MCDM RiiSS CIVTS CIES ISIC FOCI EALS CIMSIVP ADPRL CIDM SIS CIASG Social 5:10-6:45pm Poster Session (Grand Sierra E) 7:00-9:30pm Banquet (Grand Sierra A, B, C & D) Friday, December 12th, 2014 Antigua Antigua Antigua Bonaire Bonaire Bonaire Bonaire Bonaire Bonaire Bonaire Bonaire Curacao Curacao Curacao Curacao Curacao Room Names 2 3 4 1 2 3 4 5 6 7 8 1 2 3 4 7 8:00-9:00am Plenary Talk (Grand Sierra D) 9:00-9:30am Break 9:30-10:30am CICA ICES CIBIM MCDM RiiSS CIVTS CIES ISIC CIDUE EALS CIBCI ADPRL CIDM SIS CICARE 10:30-11:00am Break 11:00am- EALS CICA ICES CIBIM MCDM RiiSS CIVTS CIES IA CIDUE CIBCI ADPRL CIDM SIS CICARE 12:00pm Talk 12:00-1:30pm Lunch Break 1:30-3:10pm CICA ICES CIBIM MCDM RiiSS CIES IA CIDUE CIBCI CIDM SIS CICARE 3:10-3:30pm Break 3:30-5:10pm CICA ICES CIES IA CIDM SIS CICARE 16 Plenary Talk – Wednesday, December 10 Sensor Fault Diagnosis in Cyber-Physical Systems Marios M. Polycarpou University of Cyprus, Cyprus Abstract Recent advances in information and communication technologies, embedded systems and sensor networks have generated significant research activity in the development of cyber-physical systems, where a large amount of sensor data is collected and processed in real-time in order to achieve smooth and efficient operation of the underlying system. The current trend is towards larger and larger sensor data sets, leading to so called big data environments. However, in situations where faults arise in one or more of the sensing devices, this may lead to a serious degradation in performance or even to an overall system failure, especially as a result of propagating faults in interconnected subsystems. The goal of this presentation is to motivate the need for fault diagnosis in cyber-physical systems and to provide a methodology for detecting and isolating multiple sensor faults in a class of nonlinear dynamical systems. The detection of faults in sensor groups is conducted using robust analytical redundancy relations, formulated by structured residuals and adaptive thresholds. Various estimation and learning algorithms will be presented and illustrated, and directions for future research will be discussed. Biography Marios M. Polycarpou is a Professor of Electrical and Computer Engineering and the Director of the KIOS Research Center for Intelligent Systems and Networks at the University of Cyprus. He received the B.A. degree in Computer Science and the B.Sc. degree in Electrical Engineering both from Rice University, Houston, TX, USA in 1987, and the M.S. and Ph.D. degrees in Electrical Engineering from the University of Southern California, Los Angeles, CA, in 1989 and 1992 respectively. Prior to joining the University of Cyprus as founding Department Chair in 2001, he was Professor of Electrical and Computer Engineering and Computer Science at the University of Cincinnati, Ohio, USA. His teaching and research interests are in intelligent systems and networks, adaptive and cooperative control systems, computational intelligence, fault diagnosis and distributed agents. Dr. Polycarpou has published more than 250 articles in refereed journals, edited books and refereed conference proceedings, and co-authored 6 books. He is also the holder of 6 patents. Prof. Polycarpou is a Fellow of the IEEE and served as the President of the IEEE Computational Intelligence Society between Jan. 2012 – Dec. 2013. He has served as the Editor-in-Chief of the IEEE Transactions on Neural Networks and Learning Systems between 2004-2010. He participated in more than 60 research projects/grants, funded by several agencies and industry in Europe and the United States. In 2011, Prof. Polycarpou was awarded the prestigious European Research Council (ERC) Advanced Grant. 17 Plenary Talk – Thursday, December 11 Single Frame Super Resolution: Gaussian Mixture Regression and Fuzzy Rule-Based Approaches Nikhil R. Pal Indian Statistical Institute, India Abstract High quality image zooming is an important problem. There are many methods that use multiple low resolution (LR) frames of the same scene with different sub-pixel shifts as input to generate the high resolution (HR) images. Now a days single frame super resolution (SR) methods that use just one LR image to obtain the HR image has become popular. In this talk we shall discuss a novel fuzzy rule based single frame super resolution method. This is a patch based method, where each LR patch is replaced by a HR patch generated by a Takagi-Sugeno type fuzzy rule-based system. We shall discuss in details the generations of the training data, the initial generation of the fuzzy rules, their refinement and how to use the rules for generation of SR images. In this context we shall also develop a Gaussian Mixture Regression (GMR) model for the same problem. Both the fuzzy rule based system and GMR are found to be quite effective. Comparison of performance of the fuzzy rule-based system with five existing methods as well as with the GMR method in terms of the several quality criteria demonstrates the superior performance of the fuzzy rule-based system. Biography Nikhil R. Pal obtained B. Sc. (Physics) and MBM (Operations Research) degrees from the University of Calcutta, and M. Tech. and Ph. D. degrees in Computer Science from the Indian Statistical Institute (ISI), Calcutta. In 1984, after completion of his M. Tech. degree he joined a car manufacturing company and after eight months he moved to a tyre manufacturing company. But in about two and a half years he left industry and joined ISI, where he has been a professor since June 1995 and currently associated with the Electronics and Communication Sciences Unit. He has also served as the Professors-in-Charge of the Computer and Communication Sciences Division of the Institute for a period of two years. In between, he has served as a Chair Professor of the National Chiao-Tung University, Taiwan, and a Visiting Professor of RIKEN Brain Science Institute, Japan and the University of West Florida, USA. His current research interest includes bioinformatics, brain science, fuzzy logic, pattern analysis, neural networks, and evolutionary computation. He was a Distinguished Lecturer of the IEEE Computational Intelligence Society (CIS) and was a member of the Administrative Committee of the IEEE CIS. At present he is the Vice President for Publications of the IEEE CIS. He is a Fellow of the National Academy of Sciences, India, a Fellow of the Indian National Academy of Engineering, a Fellow of the Indian National Science Academy, a Fellow of the International Fuzzy Systems Association (IFSA), and a Fellow of the IEEE, USA. 18 Plenary Talk – Friday, December 12 Blast from the Past - Revisiting Evolutionary Strategies for the Design of Engineered Systems Alice E. Smith Auburn University, USA Abstract This plenary will discuss the potential advantages of using one of the most venerable, but currently underutilized, evolutionary computation paradigms, that of Evolutionary Strategies (ES). Developed some 50 years ago with the aim of improving engineering design, this paradigm has often been overlooked in favor of the more popular paradigms of genetic algorithms, ant colony optimization, particle swarm optimization and others. However, ES is an appealing combination of simplicity and effectiveness, especially for real valued variables. This talk will discuss the motivations of and experiences with using ES for three diverse domains in engineering design – aircraft airfoil design, optimal configurations for order picking warehouses, and design of resilient ad hoc wireless communications networks. These applications integrate the ES with other computational methods including simulation to form comprehensive and pragmatic design tools. The “Old School” paradigm of ES has much to offer contemporary users of meta-heuristics and deserves a higher profile within the computational intelligence community.
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