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IEEE-CIVTS 2013 Co-Chair(s) Dipti Srinivasan National University of Singapore Program Committee Plamen Angelov, Lancaster University, UK Alberto Broggi, University of Parma, Italy George Bebis, University of Nevada, USA Luis M. Bergasa, University of Alcala, Spain Oleg Gusikhin, Ford Research, USA Ilya Kolmanovsky, University of Michigan, USA John Krumm, Microsoft Research, USA Rudolf Kruse, University of Magdeburg, Germany T.T. Lee, National University of Technology, Taiwan Raj Madhavan, NIST, USA Seichi Mita, Toyota Tech Institute, Japan Yi L. Murphey, University of Michigan-Dearborn, USA IEEE-SSCI 2013: Technical Program Justin Dauwels Nanyang Technological University, Singapore Hiroshi Nakajima, Omron, Japan Yoshiki Ninomiya, Toyota Central R & D Labs, Japan Urbano Nunes, University of Coimbra, Portugal Krishna Pattipati, University of Connecticut, USA Luigi del Re, JKU, Austria Thomas Runkler, Siemens Research, Germany Nestor Rychtycki, Ford Research, USA Kazuya Takeda, Nagoya University, Japan Mohan Trivedi, UCSD, USA Hans J Wuensche, University of Bundeswehr, Germany Yilu Zhang, GM, USA Keynote: Autonomy and the Future of Urban Mobility By Dr. Emilio Frazzoli Chair: Justin Dauwels Date/Time: 9.30 – 10.30, Wed. 17 April 2013 Venue: Galleria Ballroom Level 3 Session: Traffic Optimization and Control-1 Chair: Dipti Srinivasan Co-Chair: Justin Dauwels Date/Time: 10.50 – 12.20, Wed. 17 April 2013 Venue: Kingfisher Level 4 SS-0135 A Real-Time Visual-Based Front-Mounted Vehicle Collision Warning System—Chiung-Yao Fang, Jui-Hung Liang, Chiao-Shan Lo and Sei-Wang Chen SS-0668 Evolving Intelligent Vehicle Control Using Multi-Objective NEAT—W. H. van Willigen, Evert Haasdijk and L. J. H. M. Kester SS-0884 An Approximate Bus Route Planning Algorithm—Ow Yi Xian, Mandar Chitre and Daniela Rus SS-0905 Single Intersection Signal Control Based on Type-2 Fuzzy Logic—Yunrui Bi, Dipti Srinivasan, Xiaobo Lu and Zhe Sun Session: Traffic Optimization and Control-2 Chair: Justin Dauwels Co-Chair: Dipti Srinivasan Date/Time: 13.40 – 15.20, Wed. 17 April 2013 Venue: Kingfisher Level 4 SS-0930 Freeway Ramp Metering by Macroscopic Traffic Scheduling with Particle Swarm Optimization—Xinjie Zhao, Jianxin Xu and Dipti Srinivasan SS-0952 Mining Traffic Accident Features by Evolutionary Fuzzy Rules—Pavel Krömer, Tibebe Beshah, Dejene Ejigu, Václav Snášel, Jan Platoš and Ajith Abraham SS-0966 Data Compression Techniques for Urban Traffic Data—Muhammad Tayyab Asif, Srinivasan Kannan, Justin Dauwels and Patrick Jaillet SS-0885 The Probe Allocation Problem—Ow Yi Xian, Mandar Chitre and Daniela Rus SS-1030 Real-Time Urban Traffic Information Extraction from GPS Tracking of a Bus Fleet—Evangelos Denaxas, Savvas Mpollas, Dimitrios Vitsios, Christoforos Zolotas, Dimitris G. Bleris, Georgios M. Spanos and Nikos P. Pitsianis Session: Air Traffic Prediction and Control Chair: Justin Dauwels Co-Chair: Dipti Srinivasan Date/Time: 15.50 – 17.30, Wed. 17 April 2013 Venue: Kingfisher Level 4 SS-0996 Control on Air Fuel Ratio of SI Engines Using Neural Network-Based Feedforward Method—Yujia Zhai and Dingli Yu SS-0538 An Evolutionary Goal-Programming Approach Towards Scenario Design for Air-Traffic Human-Performance Experiments—Rubai Amin, Jiangjun Tang, Mohamed Ellejmi, Stephen Kirby and Hussein A. Abbass 72
IEEE-SSCI 2013: Technical Program SS-0682 Real Time Prediction of Worst Case Air Traffic Sector Collision Risk Using Evolutionary Optimization—Sameer Alam, Murad Hossain, Chris Lokan, Steve Barry, Geoff Aldis, Robert Butcher and Hussein Abbass SS-0783 Linguistic Model for Engine Power Loss—Janos Grantner, Bradley Bazuin, Jumana Al-shawawreh, Liang Dong, Matthew P. Castanier and Shabbir Hussain SS-0314 Computationally Inexpensive Labeling of Appearance Based Navigable Terrain for Autonomous Rovers—Prabhakar Mishra and Anirudh Viswanathan IEEE Symposium on Evolving and Adaptive Systems (IEEE EAIS 2013) The truly intelligent systems should be dynamically evolving and be able to adapt and learn autonomously. The concept of evolving intelligent systems was established recently as a synergy between conventional systems, neural networks and fuzzy systems as structures for information representation and real time methods for machine learning. This emerging area targets non-stationary processes by developing novel on-line learning methods and computationally efficient algorithms for real- time applications. One of the important research challenges today is to develop methodologies, concepts, algorithms and techniques towards the design of intelligent systems with a higher level of flexibility and autonomy, so that the systems can evolve their structure and knowledge of the environment and ultimately — autonomously learn and evolve their intelligence. That is, the system must be able to evolve, to self-develop, to self-organize, to self-evaluate and to self-improve. Wireless sensor networks, assisted ambient intelligence, embedded soft computing diagnostics and prognostics algorithms, intelligent agents, smart evolving sensors; autonomous robotic systems etc. are some of the natural implementation areas of evolving and adaptive intelligent systems. EAIS’13 continues the tradition set by the previous forums (EFS’06, GEFS’08, ESDIS’09, EIS’10, EAIS-2011, EAIS-2012) and is supported and organized by the Adaptive and Evolving Fuzzy Systems (AEFS) Task Force, FSTC, CIS, IEEE. The next year Symposium will be held 2 – 4 June 2014 in Linz, Austria. Welcome to Singapore! Wishing you a productive and joyful stay.Looking forward to the next meeting in Linz next year. Co-Chair(s) Plamen Angelov Lancaster University, UK Program Committee Jose Rubio Avila, UA-IPN, Mexico Rashmi Dutta Baruah, IIT , India Nik Kasabov AUT, New Zealand Abdelhamid Bouchachia, University of Bournemouth, UK Richard Duro, University of La Coruna, Spain Ana Belen Cara, University of Granada, Spain Damien Coyle, Ulster University, UK Mario Gongora, De Monfort University, Leicester, UK Fernando Gomide, University of Campinas, Brazil Jose Antonio Iglesias, University Carlos III, Spain Janusz Kacprzyk, Polish Academy of Sciences, Poland Andre Lemos, University of Campinas, Brazil Gang Leng, Ulster University, UK Dimitar Filev Ford, USA Edwin Lughofer, University of Linz, Austria Moamar Sayed Mouchaweh, University of Reims, France Witold Pedrycz, University of Alberta, Canada Fernando Pouzols, Aalto University, Finland Ignacio Rojas, University of Granada, Spain Dick Scott, University of Alberta, Canada Joao Sousa, Technical University of Lisbon, Portugal Igor Skrjanc, University of Ljubljana, Slovenia Gancho Vachkov, South Pacific University, Fiji Di Wang, Khalifa University, UAE Ronald Yager, Iona College, NY, USA Xiaojun Zeng, Manchester University, UK Session: Methodology of EAIS Chair: Igor Skrjanc Co-Chair: Christophe Marsala Date/Time: 8.30 – 10.10, Thu. 18 April 2013 Venue: Pelican Level 4 SS-0986 Robust Evolving Cloud-Based Controller for a Hydraulic Plant—Plamen Angelov, Igor Škrjanc and Sašo Blažič SS-0307 Resolving Global and Local Drifts in Data Stream Regression Using Evolving Rule-Based Models— Ammar Shaker and Edwin Lughofer SS-0970 Fuzzy Decision Trees for Dynamic Data—Christophe Marsala SS-0989 Dynamic and Evolving Fuzzy Concept Lattices—T. P. Martin SS-0719 Adapting Meeting Tools to Agent Decision—João Barreto, Isabel Praça, Tiago Pinto, Tiago M. Sousa and Zita Vale 73 IEEE-CIVTS 2013
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Page 79 and 80: Co-Chair(s) Rafael Alcalá Universi
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Page 119: General Chair: Antoaneta Serguieva,
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