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Soft Computing Techniques in Engineering Applications

  • Book
  • © 2014

Overview

Editors:
  1. Srikanta Patnaik

    1. Department of Computer Science and Engineering, SOA University, Bhubaneswar, India

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    You can also search for this editor in PubMed   Google Scholar

  2. Baojiang Zhong

    1. School of Computer Science and Technology, Soochow University, Suzhou, China

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Latest research on Soft Computing Techniques in Vision Science
  • Presents basic research extending to Visual Perception and Visual system, Cognitive Psychology, and Psychophysics
  • Written by experts in the field
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Computational Intelligence (SCI, volume 543)

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Table of contents (12 chapters)

  1. Front Matter

    Pages i-vi
    Download chapter PDF

  2. Machine Vision Solutions in Automotive Industry

    • Pinnamaneni Bhanu Prasad, N. Radhakrishnan, S. Shankar Bharathi
    Pages 1-14

  3. Kinect Quality Enhancement for Triangular Mesh Reconstruction with a Medical Image Application

    • A. Khongma, M. Ruchanurucks, T. Koanantakool, T. Phatrapornnant, Y. Koike, P. Rakprayoon
    Pages 15-32

  4. A Matlab GUI Package for Comparing Data Clustering Algorithms

    • Anirban Mukhopadhyay, Sudip Poddar
    Pages 33-48

  5. Multi Objective Line Symmetry Based Evolutionary Clustering Approach

    • Singh Vijendra, Sahoo Laxman
    Pages 49-58

  6. An Efficient Method for Contrast Enhancement of Digital Mammographic Images

    • Sanjeev Kumar, Mahesh Chandra
    Pages 59-74

  7. Simulation of Obstacle Detection and Speed Control for Autonomous Robotic Vehicle

    • Shaunak Agastya Vyas, Lovekumar D. Thakker, Amit Patwardhan
    Pages 75-97

  8. A Review of Global Path Planning Algorithms for Planar Navigation of Autonomous Underwater Robots

    • Divya Konda, Keerthana Bhoopanam, Saravanakumar Subramanian
    Pages 99-113

  9. Pseudo-Fractional Tap-Length Learning Based Applied Soft Computing for Structure Adaptation of LMS in High Noise Environment

    • Asutosh Kar, Mahesh Chandra
    Pages 115-129

  10. Medical Image Analysis Using Soft Computing Techniques

    • D. Jude Hemanth, J. Anitha
    Pages 131-139

  11. Selection of Robotic Grippers Under MCDM Environment: An Optimized Trade Off Technique

    • Anirudha Bhattacharjee, Bikash Bepari, Subhasis Bhaumik
    Pages 141-158

  12. Numerical Study of Viscous Flow in the Hydraulic System of Electro Optical Tracking System

    • R. K. Dey, H. S. Panda, A. K. Biswas, B. K. Das
    Pages 159-181

  13. Comparison of Edge Detection Algorithm for Part Identification in a Vision Guided Robotic Assembly System

    • Bunil Kumar Balabantaray, Bandita Das, Bibhuti Bhusan Biswal
    Pages 183-206
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Keywords

About this book

The Soft Computing techniques, which are based on the information processing of biological systems are now massively used in the area of pattern recognition, making prediction & planning, as well as acting on the environment. Ideally speaking, soft computing is not a subject of homogeneous concepts and techniques; rather, it is an amalgamation of distinct methods that confirms to its guiding principle. At present, the main aim of soft computing is to exploit the tolerance for imprecision and uncertainty to achieve tractability, robustness and low solutions cost. The principal constituents of soft computing techniques are probabilistic reasoning, fuzzy logic, neuro-computing, genetic algorithms, belief networks, chaotic systems, as well as learning theory. This book covers contributions from various authors to demonstrate the use of soft computing techniques in various applications of engineering.

Reviews

From the book reviews:

“This book is a collection of recent applications of soft computing in medical imaging, the automotive industry, and robotics. … the book can be used as reference textbook to give beginners an idea of how to apply soft computing algorithms to practical applications.” (Jindong Liu, Computing Reviews, June, 2014)

Editors and Affiliations

  • Department of Computer Science and Engineering, SOA University, Bhubaneswar, India

    Srikanta Patnaik

  • School of Computer Science and Technology, Soochow University, Suzhou, China

    Baojiang Zhong

Bibliographic Information

  • Book Title: Soft Computing Techniques in Engineering Applications

  • Editors: Srikanta Patnaik, Baojiang Zhong

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-319-04693-8

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing Switzerland 2014

  • Hardcover ISBN: 978-3-319-04692-1Published: 10 March 2014

  • Softcover ISBN: 978-3-319-37501-4Published: 03 September 2016

  • eBook ISBN: 978-3-319-04693-8Published: 22 February 2014

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: VI, 206

  • Number of Illustrations: 77 b/w illustrations, 57 illustrations in colour

  • Topics: Computational Intelligence, Image Processing and Computer Vision, Cognitive Psychology

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