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CICPS 2013 - Call for Book Chapter on “Computational Intelligence for Decision Support in Cyber Physical Systems”
Topics/Call fo Papers
Book Title: Computational Intelligence for Decision Support in Cyber Physical Systems
To be published by:
Springer, under the series: "Studies In Computational Intelligence (SCI)" (ISSN: 1860-949X),
www.springer.com/series/7092.
The book will be indexed by DBLP, Ulrichs, SCOPUS, MathSciNet, Current Mathematical Publications,
Mathematical Reviews, Zentralblatt Math: MetaPress and Springerlink.
Objective of the Book
Cyber-physical system (CPS) represent a close coordination between the embedded computational core and the physical elements of a system. In general, a network of physically distributed embedded sensors and actuators equipped with computing and communicating capabilities can qualify for CPS. Examples include autonomous cars, robots at work, play at home, intelligent, energy-efficient smart homes and civil infrastructure, embedded biomedical devices etc. At the heart of these applications are actually the computational cores that interact with the physical world, with intelligence provided by the software algorithms. We are interested in bridging the gap between the CPS and the intelligent software techniques summed up under the umbrella of computational intelligence.
Computational intelligence (CI) primarily focuses on artificial intelligence, for instance fuzzy logic and neural networks as well as evolutionary computation including genetic algorithms and bio-inspired optimization methods. By deeply embedding computational intelligence, communication, control, and new mechanisms for sensing and actuation, CPS can become more intelligent, fast, robust and adaptive that would respond more quickly (e.g., autonomous collision avoidance), are more precise (e.g., robotic surgery and nano-tolerance manufacturing), work in dangerous or inaccessible environments (e.g., autonomous systems for search and rescue, firefighting, and exploration), provide large-scale, distributed coordination (e.g., automated traffic control), will become highly efficient (e.g., zero net energy buildings), augment human capabilities (e.g., assistive technologies), and enhance societal well-being (e.g., ubiquitous healthcare monitoring and delivery).
This book will include advanced information on CPS utilizing computational intelligence, existing mechanisms and developments as well as the future expectations in the relevant areas. The book could be a valuable reference book for researchers, industry professionals, and academics. It could also be used as a text book for graduate students.
Below are some desirable (but not limited to) topics:
Intelligent Mobile Vehicles: Autonomous vehicles, teleoperation, Domestic robtos, Automotive electronics, sensors, actuators, controller and embedded software. Avionics and aerospace systems/sub-systems, Vision guided motion, computer vision, Control and systems of computational learning in complex, changing and uncertain environments, Distributed/Cooperative control and communication.
Energy: Energy monitoring, Smart home architectures for optimized heating, cooling and lighting system. Smart grid, Distributed networks for renewable sources, Energy efficient smart devices, Energy consumption and power saving techniques, New architectures for improving energy transmission and distribution.
Medicine and healthcare: CPS innovations in medicine and healthcare systems combined with computational intelligence e.g. Artificial organs, health monitoring systems, Rehabilitation/Assistive robotics, Cognitive reasoning, Decision making, planning, observing and communicating subsystems, integrating processes of percepion, Embedded medical devices.
Smart infrastructure: Earthquake-proof homes and civil infrastructure, Newly planned civilian infrastructures smarter with CPS technology. Sensor nets for structural health monitoring (SHM), vibration control, fatigue estimation, feature extraction for diagnosis/prognosis, failure prediction of bridges and critical infrastructure etc.
and more ...
Editors:
Zeashan H. Khan (Corresponding Editor)
Department of Electrical Engineering
CESET, Islamabad, 44000, Pakistan
Email: zeashan.khan-AT-gmail.com
A B M Shawkat Ali
School of Information and Communication Technology
Central Queensland University, QLD 4702, Australia
Email: s.ali-AT-cqu.edu.au
Zahid Riaz
Fraunhofer IAIS Institute, Bonn, Germany
Email: zahid.riaz-AT-iais.fraunhofer.de
To be published by:
Springer, under the series: "Studies In Computational Intelligence (SCI)" (ISSN: 1860-949X),
www.springer.com/series/7092.
The book will be indexed by DBLP, Ulrichs, SCOPUS, MathSciNet, Current Mathematical Publications,
Mathematical Reviews, Zentralblatt Math: MetaPress and Springerlink.
Objective of the Book
Cyber-physical system (CPS) represent a close coordination between the embedded computational core and the physical elements of a system. In general, a network of physically distributed embedded sensors and actuators equipped with computing and communicating capabilities can qualify for CPS. Examples include autonomous cars, robots at work, play at home, intelligent, energy-efficient smart homes and civil infrastructure, embedded biomedical devices etc. At the heart of these applications are actually the computational cores that interact with the physical world, with intelligence provided by the software algorithms. We are interested in bridging the gap between the CPS and the intelligent software techniques summed up under the umbrella of computational intelligence.
Computational intelligence (CI) primarily focuses on artificial intelligence, for instance fuzzy logic and neural networks as well as evolutionary computation including genetic algorithms and bio-inspired optimization methods. By deeply embedding computational intelligence, communication, control, and new mechanisms for sensing and actuation, CPS can become more intelligent, fast, robust and adaptive that would respond more quickly (e.g., autonomous collision avoidance), are more precise (e.g., robotic surgery and nano-tolerance manufacturing), work in dangerous or inaccessible environments (e.g., autonomous systems for search and rescue, firefighting, and exploration), provide large-scale, distributed coordination (e.g., automated traffic control), will become highly efficient (e.g., zero net energy buildings), augment human capabilities (e.g., assistive technologies), and enhance societal well-being (e.g., ubiquitous healthcare monitoring and delivery).
This book will include advanced information on CPS utilizing computational intelligence, existing mechanisms and developments as well as the future expectations in the relevant areas. The book could be a valuable reference book for researchers, industry professionals, and academics. It could also be used as a text book for graduate students.
Below are some desirable (but not limited to) topics:
Intelligent Mobile Vehicles: Autonomous vehicles, teleoperation, Domestic robtos, Automotive electronics, sensors, actuators, controller and embedded software. Avionics and aerospace systems/sub-systems, Vision guided motion, computer vision, Control and systems of computational learning in complex, changing and uncertain environments, Distributed/Cooperative control and communication.
Energy: Energy monitoring, Smart home architectures for optimized heating, cooling and lighting system. Smart grid, Distributed networks for renewable sources, Energy efficient smart devices, Energy consumption and power saving techniques, New architectures for improving energy transmission and distribution.
Medicine and healthcare: CPS innovations in medicine and healthcare systems combined with computational intelligence e.g. Artificial organs, health monitoring systems, Rehabilitation/Assistive robotics, Cognitive reasoning, Decision making, planning, observing and communicating subsystems, integrating processes of percepion, Embedded medical devices.
Smart infrastructure: Earthquake-proof homes and civil infrastructure, Newly planned civilian infrastructures smarter with CPS technology. Sensor nets for structural health monitoring (SHM), vibration control, fatigue estimation, feature extraction for diagnosis/prognosis, failure prediction of bridges and critical infrastructure etc.
and more ...
Editors:
Zeashan H. Khan (Corresponding Editor)
Department of Electrical Engineering
CESET, Islamabad, 44000, Pakistan
Email: zeashan.khan-AT-gmail.com
A B M Shawkat Ali
School of Information and Communication Technology
Central Queensland University, QLD 4702, Australia
Email: s.ali-AT-cqu.edu.au
Zahid Riaz
Fraunhofer IAIS Institute, Bonn, Germany
Email: zahid.riaz-AT-iais.fraunhofer.de
Other CFPs
Last modified: 2012-12-12 09:43:06