The workshop
CompSens brings 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. 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 more and
more utilized to 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. Sensor
drift, hysteresis, calibration
errors, 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 fields of multi
sensor set-ups, to gain a "plus"
out of the continuously
increasing larger sets of
acquired sensor 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.
§
Computer
Intelligence and Sensors
§
CI and
Data Acquisition
§
Data
Validation and 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
and CI
§
CI
and Smart
Sensors
§
Virtual
Sensors
§
Theoretical
Aspects of Sensor Technology for
CI
§
Theoretical
Aspects of
CI
towards
Applications to Sensor
Technology
§
CI
in Biosensors
and Sensor Fusion for Improved
Diagnosis
§
CI and Sensors in Energy Systems
§
CI and Sensors in Combustion Process Technologies
§
Reviews
of CI in Sensor Technology
§
Further Challenges of
Merging CI and Sensor Technologies
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.
Please forward your special session proposals to Workshop Co-Chairs.
Jiri Bila (Czech Technical
University in Prague, Czech
Republic)
Mohamed Elgendi (Nanyang Technological University, Singapore)
Demetrios Eliades (University of Cyprus, Cyprus)
Madan M. Gupta (University of Saskatchewan, Canada)
Olivier C. Haas (Coventry
University, UK)
Noriyasu Homma
(Tohoku
Univeristy,
Japan)
Zeng-Guang
Hou (Chinese Academy of
Science, China)
Jan
Hrdlicka (Czech Technical University in Prague, Czech Republic)
Erdal Kayacan (KU Leuven, Belgium)
Witold Kinsner (University of Manitoba, Canada)
Jan Pitel (Technical University
of Kosice, Slovakia)
Michael J. Schöning (University
of Applied Sciences Aachen,
Germany)
Ashu M. G. Solo (Maverick
Technologies America, Inc., USA)
Basak Yüksel (Arcelik R&D Center,Turkey)
… to be completed
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.