CompSens 2013 - CompSens 2013 2013 IEEE Workshop on Merging Fields of Computational Intelligence and Sensor Technology

CompSens 2013

2013 IEEE Workshop on Merging Fields of Computational Intelligence and Sensor Technology

The workshop CompSens will bring together researchers, engineers, practitioners, and students from the fields of sensor technology (ST) and computational intelligence (CI) in order to cross-fertilize and to initiate possible collaborations between these fields. ST researchers in the sensor fields will have the opportunity to enhance their CI background, and CI researchers will gain valuable feedback on the problems and the needs for "real world" applications. Sensor technology is the gate that connects computational intelligence to the real world and understanding and awareness of ST issues is important for meaningful developments of CI. Among others, CI is also more and more used to algorithmically support the quality of ST and its outcomes. Sufficient knowledge and experience in these fields is a timely effort and there is naturally a gap between theoretical research of CI and its applications to "real-world" problems. Research in CI is often conducted by data sets that leak important aspects of real world measurement. Drift, hysteresis, calibration error, sensitivities, cross selectivity, are only a few parameters mentioned which falsify the results but does not yet get many attention in most CI algorithms. On the other side, ST researchers are going to apply more and more computational intelligence for steadily growing multi sensor set-ups to gain a "plus" out of large sets of electronically obtained data. However, often there is still a lack in experience or knowledge of how to use and optimize the CI algorithms correctly. Mostly, algorithms get simply applied in one or the other form that a software toolbox is offering without deep analysis of the possible advantages or disadvantages of the method for a particular task.

Topics

Computational Intelligence in Biosensors and Sensor Fusion for Improved Diagnosis
Computer Intelligence and Sensors
Computer Intelligence and Data Acquisition
Data Validation
Data Reconciliation
Fault and Error Detection for Sensor Technology
Fuzzy Logic and Sensor Technology
Genetic Algorithms and Sensor Technology
Neural Networks and Sensor Technology
Intelligent Sensory Networks
Sensor Calibration
Computer Intelligence and Smart Sensors
Virtual Sensors
Theoretical aspects of Sensor Technology for Computational Intelligence
Theoretical aspects of Computational Intelligence towards applications to sensor technology
Keynote, Tutorial and Panel Sessions

Please forward your proposals with detailed abstract and bio-sketches of the speakers to Workshop Co-Chairs and SSCI Keynote-Tutorial Chair, Dr S Das.

Special Sessions

Please forward your special session proposals to Workshop Co-Chairs.

Workshop Co-Chairs

Ivo Bukovsky, (Czech Technical University in Prague,Czech Republic)
Torsten Wagner, (Tohoku University, Japan)

Program Committee

(tentative list)

Jiri Bila (Czech Technical University in Prague)
Jan Chysky (Czech Technical University in Prague)
Mohamed Elgendi (Charles Darwin University, Australia)
Madan M. Gupta (University of Saskatchewan, Canada)
Noriyasu Homma (Tohoku Univeristy, Japan)
Olivier C. Haas (Coventry University, UK)
Zeng-Guang Hou (Chinese Academy of Science)
Witold Kinsner (University of Manitoba, Canada)
Heinz Koeppl (Ecole Polytechnique Fédérale de Lausanne, Switzerland)
Martin Novak (Czech Technical University in Prague)
Ricardo Rodriguez (Technological University of Juarez City, Mexico)
Ashu M. G. Solo (Maverick Technologies America, Inc.)
Michael J. Schoening (University of Applied Sciences Aachen, Germany)
Tatsuo Yoshinobu (Tohoku University, Japan)
Basak Yüksel (University of Tokyo, Japan)

Additional Information

Submissions

Accepted papers to IEEE CompSens 2013 should be original works that present achievements related to the merge of sensor technology and computational intelligence. Review papers and papers that fruitfully discuss issues and contribute to the cross-fertilization of the ST and CI fields are also welcome.