Call for Chapters: Advanced Research on Hybrid Intelligent Techniques and
Applications
Please visit
http://www.igi-global.com/publish/call-for-papers/call-details/1448 for more
details regarding this publication and to submit your chapter proposal.
Editors
Dr. Siddhartha Bhattacharyya (RCC Institute of Information Technology, India)
Mr. Pinaki Banerjee (Goldstone Infratech Ltd., India)
Dr. Dipankar Majumdar (RCC Institute of Information Technology, India)
Prof. (Dr.) Paramartha Dutta (Visva-Bharati University, India)
Call for Chapters
Proposals Submission Deadline: September 30, 2014
Full Chapters Due: December 30, 2014
Introduction
For release in the Advances in Computational Intelligence and Robotics (ACIR)
Book Series.
ISSN: 2327-0411
The Advances in Computational Intelligence and Robotics (ACIR) Book Series
encourages scholarly discourse on all topics pertaining to evolutionary
computing, artificial life, computational intelligence, machine learning, and
robotics. ACIR presents the latest research being conducted on diverse topics
in intelligence technologies with the goal of advancing knowledge and
applications in this rapidly evolving field.
Many real life problems suffer from uncertainty, imprecision, vagueness to name
a few. Conventional computing paradigms often fall short of offering solutions
to them. Even latest soft computing paradigms are not too robust to handle the
situations. Hybrid computing is a paradigm which addresses these issues to a
considerable extent. This book is intended to encompass such hybrid computing
techniques reported in the literature.
Soft Computing, as the name suggests, deals with the soft meaning of concepts.
This is a relatively new computing paradigm which entails a synergistic
integration of essentially four other computing paradigms, viz., neural
networks, fuzzy logic, rough sets and evolutionary computation, incorporating
probabilistic reasoning (belief networks, genetic algorithms and chaotic
systems). These computing paradigms are conjoined to provide a framework for
flexible information processing applications designed to operate in the
real-world. Bezdek referred to this synergism as computational intelligence.
According to Prof. Zadeh, soft computing is “an emerging approach to computing,
which parallels the remarkable ability of the human mind to reason and learn in
an environment of uncertainty and imprecision.” Soft computing technologies are
robust by design, and operate by trading off precision for tractability. Since
they can handle uncertainty with ease, they conform better to real!
-world situations and provide lower cost solutions. The four components of
soft computing differ from one another in more than one way. They operate
either independently or jointly depending on the domain of applications. Hybrid
Computing stems from the synergistic integration of the different soft
computing tools and techniques. The fusion of these techniques towards
achieving enhanced performance and more robust solutions can be achieved
through proper hybridization.
An intelligent machine inherits the boon of intelligence by virtue of the
various methodologies offered by Soft Computing paradigm encompassing fuzzy and
rough set theory, artificial neurocomputing, evolutionary computing, as well as
approximate reasoning. At times situation demands in reality where any of the
techniques listed above does not provide any comprehensible solution but an
effective symbiosis of more than one of the above techniques offers a
formidable solution. This gives rise to the advent to several hybrid
methodologies. Of late, there is enormous growth of research exploration of
injecting elements of intelligence using efficient hybrid techniques. All these
initiatives indicate that the individual soft computing techniques do not
behave in conflicting manner rather behaves complimentary to one another. In
fact, recent reports reveal the inherent strength of such hybridization of
computation methods.
Objective
To bring a broad spectrum of application domains under the purview of hybrid
intelligence so that it is able to trigger further inspiration among various
research communities to contribute in their respective fields of applications
thereby orienting these application fields towards intelligence.
Once the purpose, as stated above, is achieved a larger number of research
communities may be brought under one umbrella to ventilate their ideas in a
more structured manner. In that case, the present endeavor may be seen as the
beginning of such an effort in bringing various research applications close to
one another.
Target Audience
The target audience of the intended book is the relevant research community. To
be precise, the book is aimed to establish the missing link between the
research standing in the relevant field and that is upcoming. Hybridization
would surely and certainly help the readers grasp the essence and utility of
the different soft computing techniques in vogue.
The proposed book would come to the benefits of several categories of students
and researchers. At the students level, this book can serve as a
treatise/reference book for the special papers at the masters level aimed at
inspiring possibly future researchers. Newly inducted PhD aspirants would also
find the contents of this book useful as far as their compulsory coursework is
concerned.
At the researchers' level, those interested in interdisciplinary research would
also benefit from the book. After all, the enriched interdisciplinary contents
of the book would always be a subject of interest to the faculties, existing
research communities and new research aspirants from diverse disciplines of the
concerned departments of premier institutes across the globe. This is expected
to bring different research backgrounds (due to its cross platform
characteristics) close to one another to form effective research groups all
over the world. Above all, availability of the book should be ensured to as
much universities and research institutes as possible through whatever graceful
means it may be.
Recommended Topics
Computational Intelligence: foundations and principles; neural networks;
fuzzy systems; near set; soft set; evolutionary computation; rough sets; swarm
intelligence
Hybridization of intelligent techniques
Algorithmic, experimental, prototyping and implementation
Neuro-Fuzzy, Neuro-genetic, Fuzz-genetic, Neuro-fuzz-genetic architectures
etc.
Rough-fuzzy, Rough-neuro, Rough-neuro-fuzz architectures and the like
Quantum inspired hybrid soft computing architectures
Mechanical Engineering - Production planning; scheduling and coordination;
expert system design; cooperative control; dynamic system analysis; renewable
energy systems; robotics and robotic vision engineering problems; process
automation
Power Control and Optimization - Power control; future energy planning and
environment; industrial Informatics and planning; scheduling and assignment
problems; optimization
Total Quality Management - TQM intelligent methods; business excellence
models; intelligent and virtual CMM
Machine Intelligence - Data processing, analysis and applications;
intelligent systems; emerging computing paradigms
Nanoscience and Nanoengineering - Artificial intelligence and soft
computing techniques; parallel and distributed computing; grid computing and
pervasive computing; adaptive reconfigurable architectures
Mining Engineering - Mine planning and modeling; mine safety methods using
intelligent VR and HCI techniques
Modeling and Simulation - Modeling paradigms; simulation techniques; high
performance computing
Signal Processing – Algorithms, architectures and applications;
multidimensional signal processing; radar signal and data processing; adaptive
QoS provisioning; VLSI for network processing; embedded reconfigurable
architectures; evolvable systems; spread spectrum and CDMA systems; antennas
and propagation; mobile ad hoc networking; sensor networks
Civil Engineering - Modeling and optimization of manufacturing systems and
processes; computational fluid dynamics; flood forecasting; analysis of
processing of GIS, GPS, remote sensing data; automated inspection
Computer, Communication, Networking and Information Engineering -
Intelligent network management; antenna design, information security;
cross-layer optimized wireless networks; pervasive/ ubiquitous computing MEMS
systems characterization; Intelligent compiler and interpreter design; expert
systems; pattern recognition; image processing
Optical Engineering - Optical computing; optical image processing; optical
testing; optical communication systems and networks; intelligent photonics
Bioinformatics and Biomedical Engineering - Bio-molecular and phylogenetic
databases; Biomedical engineering; biomedical robotics and mechanics;
bio-signal processing and analysis; biometrics and bio-measurements
Ecology and Environmental Engineering - Green energy engineering;
environmental pollution and remediation; environmental sustainability and
restoration; hazardous substances and detection techniques; air pollution and
control; solid waste management
Engineering Management and Service Sciences - Engineering management;
portfolio management; emergency management system; supply chain management;
service sciences; converged network and services; e-commerce and e-governance
Systems Engineering - Industrial automation and robotics; intelligent
photonics and lighting systems; computer assisted medical diagnostic systems;
unmanned aerospace systems; intelligent control systems; intelligent approaches
in system identification/modeling
Innovative Computing Systems - Intelligent manufacturing systems; quantum
inspired soft computing methodologies for signal, image and information
processing; medical innovative technologies
Adaptive Technologies for Sustainable Growth - Soft computing based power
systems; bio-medical engineering systems; trends and development in nano
technology; wireless sensors and networks
Theoretical and Applied Sciences - Optimization and analysis of
mathematical functions; statistical time series analysis; characterization of
chaos theory; theory of fractals and applications to uncertainty management;
applications of computational intelligence to atmospheric sciences
Submission Procedure
Researchers and practitioners are invited to submit on or before September 30,
2014, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission
and concerns of his or her proposed chapter. Authors will be notified by
October 5, 2014 about the status of their proposals and sent chapter
guidelines. Full chapters are expected to be submitted by December 30, 2014.
All submitted chapters will be reviewed on a double-blind review basis.
Contributors may also be requested to serve as reviewers for this project.
All proposals should be submitted through the "Propose a Chapter" link.
Publisher
This book is scheduled to be published by IGI Global (formerly Idea Group
Inc.), an international academic publisher of the “Information Science
Reference” (formerly Idea Group Reference), “Medical Information Science
Reference,” “Business Science Reference,” and “Engineering Science Reference”
imprints. IGI Global specializes in publishing reference books, scholarly
journals, and electronic databases featuring academic research on a variety of
innovative topic areas including, but not limited to, education, social
science, medicine and healthcare, business and management, information science
and technology, engineering, public administration, library and information
science, media and communication studies, and environmental science. For
additional information regarding the publisher, please visit
www.igi-global.com. This publication is anticipated to be released in 2015.
Important Dates
September 30, 2014: Proposal Submission Deadline
October 5, 2014: Notification of Acceptance
December 30, 2014: Full Chapter Submission
February 28, 2015: Review Results Returned
April 15, 2015: Final Acceptance Notification
April 30, 2015: Final Chapter Submission
Inquiries
Dr. Siddhartha Bhattacharyya
Department of Information Technology
RCC INSTITUTE OF INFORMATION TECHNOLOGY
CANAL SOUTH ROAD, BELIAGHATA, KOLKATA – 700 015, INDIA
M: +919830354195
E-mail: [email protected]
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