Dear Friends, Applications of imprecise probability
techniques to engineering problems are welcome at this series of symposia.
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CIES 2017, IEEE Symposium on Computational Intelligence for
Engineering Solutions
http://www.ele.uri.edu/ieee-ssci2017/CIES.htm
Part of the 2017 IEEE Symposium Series on Computational Intelligence
IEEE SSCI'2017, Honolulu, Hawaii, Nov. 27 - Dec 1, 2017
The deadline for submitting papers is August 7, 2017, see
http://www.ele.uri.edu/ieee-ssci2017/PaperSubmission.htm
Developments in Engineering are characterized by a growing
complexity, which is balanced by an extensive utilization of
computational resources. This complexity is not only a feature of
engineering systems, processes and products, it is primarily a key
attribute of the respective algorithms for analysis, control and
decision-making to develop those engineering solutions. To cope with
complexity in this broad spectrum of demands, Computational
Intelligence is implemented increasingly in virtually all
engineering disciplines. This emerging approach provides a basis for
developments of a new quality.
This Symposium is focused on the utilization of Computational
Intelligence in this context in the entire field of engineering.
Examples concern the control of processes of various kinds and for
various purposes, monitoring with sensors, smart sensing, system
identification, decision-support and assistance systems,
visualization methods, prediction schemes, the solution of
classification problems, response surface approximations, the
formulation of surrogate models, etc. The engineering application
fields may comprise, for example, bioengineering with prostheses
design and control, civil and mechanical engineering processes,
systems and structures concerned with vehicles, aircraft or bridges,
industrial and systems engineering with design and control of power
systems, electrical and computer engineering with developments in
robotics, etc. All kinds of approaches from the field of
Computational Intelligence are welcome.
As a part of the Symposium special attention is paid to sustainable
engineering solutions to address current and future challenges of
environmental changes and uncertainty. This includes developments
dealing with climate change, environmental processes, disaster
warning and management, infrastructure security, lifecycle analysis
and design, etc. Events, disasters and issues under consideration
may be natural such as earthquakes or tsunamis, man-made such as
human failure or terrorist attacks, or a combination thereof
including secondary effects such as failures in nuclear power
plants, which may be critical for systems, the environment and the
society. Developments which include a comprehensive consideration of
uncertainty and techniques of reliable computing are explicitly
invited. These may involve probabilistic including Bayesian
approaches, interval methods, fuzzy methods, imprecise probabilities
and further concepts. In this context robust design is of particular
interest with all its facets as a basic concept to develop
sustainable engineering solutions.
Topics
The symposium topics include, but are not limited to:
•Complex engineering systems, structures and processes
•Intelligent analysis, control and decision-making
•Management and processing of uncertainties
•Problem solution in uncertain and noisy environments
•Reliable computing
•Sustainable solutions
•Infrastructure security
•Climate change
•Environmental processes
•Disaster warning and management
•Lifecycle analysis and design
•Automotive systems
•Monitoring
•Smart sensing
•System identification
•Decision-support and assistance systems
•Visualization methods
•Prediction schemes
•Classification methods, cluster analysis
•Response surface approximations and surrogate models
•Sensitivity analysis
•Robust design, reliability-based design, performance-based design
•Risk analysis, hazard analysis, risk and hazard mitigation
•Optimization methods, evolutionary concepts
•Probabilistic and statistical methods
•Simulation methods, Monte-Carlo and quasi Monte-Carlo
•Bayesian approaches / networks
•Artificial Neural Networks
•Imprecise probabilities
•Evidence theory
•p-box approach
•Fuzzy probability theory
•Interval methods
•Fuzzy methods
•Convex modeling
•Information gap theory
Accepted Special Sessions
•Computational Intelligence for Smart Cities
Organizers:
Vitor Naz�rio Coelho, Grupo da Causa Humana and Universidade
Federal Fluminense, Brazil
Igor Machado Coelho, Universidade do Estado do Rio de Janeiro, Brazil,
Luiz Satoru Ochi, Institute de Computer Science, Universidade
Federal Fluminense, Brazil
Thays Aparecida de Oliveira, Universitat Pompeu Fabra, Spain
More Information:
http://www.ele.uri.edu/ieee-ssci2017/CIES_files/CFP-SC-SSCI2017-HAWAII%284%29.pdf
Symposium Co-Chairs
Michaer Beer
Leibniz Universit�t Hannover, Germany
Email: beer@irz.uni-hannover.de
Vladik Krenovich
The University of Texas at El Paso, Texas, USA.
Email:vladik@utep.edu
Rudolf Kruse
University of Magdeburg, Germany
Email:kruse@iws.cs.uni-magdeburg.de
Program Committee
•Hojjat Adeli, The Ohio State University, USA
•James L. Beck, California Institute of Technology, USA
•Christian Borgelt, European Centre for Soft Computing, Spain
•Oscar Castillo, Tijuana Institute of Technology, Mexico
•Michael Fisher, University of Liverpool, UK
•Hitoshi Furuta, Kansai University, Japan
•Yannis Goulermas, University of Liverpool, UK
•Wolfgang Graf, Dresden University of Technology, Germany
•Catherine Huang, Intel Labs, Hillsboro, OR, USA
•Jorge E. Hurtado, National University of Colombia, Colombia
•Lambros S. Katafygiotis, The Hong Kong University of Science &
Technology, Hong Kong,China
•Valentin Ivanov, Ilmenau University of Technology, Germany
•Kevin S.C. Kuang, National University of Singapore, Singapore
•Tenreiro Machado, Polytechnic Institute of Porto, Portugal
•Ralf Mikut, University of Karlsruhe, Germany
•Detlef Nauck, British Telecom, UK
•Thomas Runkler, Siemens AG, Germany
•Tai Kang, Nanyang Technological University, Singapore
•Enrico Zio, Polytechnic of Milan, Italy