Handbook of Research on Industrial Informatics and Manufacturing Intelligence: Innovations and Solutions
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Handbook of Research on Industrial Informatics and Manufacturing Intelligence: Innovations and Solutions

Release Date: March, 2012|Copyright: © 2012 |Pages: 662
DOI: 10.4018/978-1-4666-0294-6
ISBN13: 9781466602946|ISBN10: 1466602945|EISBN13: 9781466602953
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Description & Coverage
Description:

As industrial systems become more widespread, they are quickly becoming network-enabled, and their behavior is becoming more complex and intelligent.

The Handbook of Research on Industrial Informatics and Manufacturing Intelligence: Innovations and Solutions is the best source for the most current, relevant, cutting-edge research in the field of industrial informatics. The book focuses on different methodologies of information technologies to enhance industrial fabrication, intelligence, and manufacturing processes. Industrial informatics uses the infrastructure of information technology for analysis, effectiveness, reliability, higher efficiency, security enhancement in the industrial environment, and this book collects the latest publications relevant to academics and practitioners alike.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Adaptive Learning
  • Automation
  • Data Fusion
  • Human Computer Interaction
  • Intelligent agents
  • Machine Learning
  • Mechatronics and robotics
  • Neural Network
  • Neuro-psychoanalytic models
  • Platform technologies
Reviews & Statements

This book provides a stepping-stone for researchers to build on, providing the details not found in journal papers, with a quality missing in many papers. I would like to congratulate the editors for the timely edition of this valuable book, and I hope that researchers and others will be inspired by many of the ideas presented and will use and build upon them.

– Ajith Abraham, Machine Intelligence Research Labs (MIR Labs), USA
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Editor/Author Biographies
M. Ayoub Khan is working with Center for Development of Advanced Computing (Ministry of Communication and IT), Govt. of India with interests in Radio Frequency Identification, microcircuit design, and signal processing, NFC, front end VLSI(Electronic Design Automation, Circuit optimization, Timing Analysis), Placement and Routing in Network-on-Chip etc. He has more than seven years’ experience in his research area. He has published more than 50 papers in the reputed journals and international IEEE conferences. He is contributing to the research community by various volunteer activities. He has served as Conference chair in various reputed IEEE/Springer international conferences. He is member of professional bodies of IEEE, ACM, ISTE and EURASIP society. He is also member of technical committee at various journals of IEEE, Springer and Elsevier. Recently, he has also co-authored/edited three books. He may be reached at ayoub@ieee.org.
Abdul Quaiyum Ansari is working with the Department of Electrical Engineering at Jamia Millia Islamia (A Central University by an Act of Parliament), New Delhi. He has also served as Professor and Head, Department of Computer Science, and as Dean, Faculty of Management Studies and Information Technology at Jamia Hamdard (Hamdard University), New Delhi. Professor Ansari did his B. Tech. (Electrical, Low Current) from AMU, Aligarh, and received the M. Tech. (IEC) and Ph. D. degrees from IIT Delhi and JMI, New Delhi respectively. His researches are in the areas of Computer Networks, Networks-on-Chip, Image Processing and Fuzzy Logic. He has published about eighty research papers in International and National Journals and proceedings of conferences. Prof. Ansari is a Fellow of IETE, IE (I), and National Telematics Forum (NTF). He is a Senior Member of IEEE (USA) and Computer Society of India and Life Member of ISTE, ISCA, and National Association of Computer Educators and Trainers (NACET). He is also presently the Chairman of the Delhi Chapter of the IEEE-Computational Intelligence Society. He can be reached at aqansari@ieee.org.
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Editorial Advisory Board
  • Adel Al-Shayea, King Saud University, Kingdom of Saudi Arabia
  • Ahmed F. Zobaa, Brunel University, United Kingdom
  • Ashraf Darwish, Machine Intelligence Research Labs (MIR Labs), USA
  • Changhyun Kwon, University at Buffalo, The State University of New York, USA
  • Claudio Zunino, IEIIT-CNR, Italy
  • Ernesto Damiani, University of Milan, Italy.
  • Gianluca Cena, IEIIT-CNR, Italy
  • Houcine Hassan, Technical University of Valencia, Spain
  • Ir Norman Bin Mariun, Universiti Putra Malaysia, Malaysia
  • Kyoung-yun Joseph Kim, Wayne State University, USA
  • Majid Jameel, Jamia Millia Islamia, India
  • Marco Cereia, IEIIT-CNR, Italy
  • Mohammad Yahiya Khan, King Saud University, Kingdom of Saudi Arabia
  • Nova Ahmed, Georgia Tech Research Institute (GTRI), USA
  • Pandian Vasant, Power Control Optimization, Malaysia
  • Pawan Kumar Singhal, Ministry of Home Affairs, India
  • S. C. Sharma, IIT Roorkee, Saharanpur Campus, India
  • R. S. Dubey, IACQER, India
  • Raja Ghosal, University of Adelaide, Australia
  • Ravindra Singh, Ministry of Defense, India
  • Rizwan Ahmad, Centre for Telecommunications & Micro-Electronics, Victoria University, Australia
  • Sapna Tyagi, Institute of Management Studies, India
  • Saqib Saeed, University of Siegen, Germany
  • Sergiu-Dan Stan, Technical University of Cluj-Napoca, Romania
  • Sofia Hejaz, Department of Industrial Design AAU, San Francisco, USA
  • T K Saxena, National Physical Laboratory, India
  • Thais Gama, Federal University of Alfenas, Brazil
  • V R Singh, National Physical Laboratory, India
  • Victor Govindaswamy, Texas A&M University-Texarkana, USA
  • Zaheeruddin, Jamia Millia Islamia, India