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Advances of Computational Intelligence in Industrial Systems

  • Book
  • © 2008

Overview

Editors:
  1. Ying Liu

    1. Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong, China

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  2. Aixin Sun

    1. School of Computer Engineering, Nanyang Technological University, Singapore

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  3. Han Tong Loh

    1. Department of Mechanical Engineering, National University of Singapore, Singapore

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  4. Wen Feng Lu

    1. Department of Mechanical Engineering, National University of Singapore, Singapore

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  5. Ee-Peng Lim

    1. School of Computer Engineering, Nanyang Technological University, Singapore

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  • Presents recent advances of Computational Intelligence in Industrial Systems
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Computational Intelligence (SCI, volume 116)

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Table of contents (17 chapters)

  1. Front Matter

    Pages I-XVIII
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  2. Particle Swarm Optimization and Differential Evolution Algorithms: Technical Analysis, Applications and Hybridization Perspectives

    • Swagatam Das, Ajith Abraham, Amit Konar
    Pages 1-38

  3. Web Services, Policies, and Context: Concepts and Solutions

    • Zakaria Maamar, Quan Z. Sheng, Djamal Benslimane, Philippe Thiran
    Pages 39-55

  4. Data Mining with Privacy Preserving in Industrial Systems

    • Kevin Chiew
    Pages 57-79

  5. Kernels for Text Analysis

    • Evgeni Tsivtsivadze, Tapio Pahikkala, Jorma Boberg, Tapio Salakoski
    Pages 81-97

  6. Discovering Time-Constrained Patterns from Long Sequences

    • Changzhou Wang, Anne Kao, Jai Choi, Rod Tjoelker
    Pages 99-116

  7. Gauging Image and Video Quality in Industrial Applications

    • Weisi Lin
    Pages 117-137

  8. Model Construction for Knowledge-Intensive Engineering Tasks

    • Benno Stein
    Pages 139-167

  9. Artificial Intelligence Applied to the Modeling and Implementation of a Virtual Medical Office

    • Sandro Moretti Correia de Almeida, Lourdes Mattos Brasil, Edilson Ferneda, Hervaldo Sampaio Carvalho, Renata Pariva de Silva
    Pages 169-190

  10. DICOM-Based Multidisciplinary Platform for Clinical Decision Support: Needs and Direction

    • Lawrence Wing-Chi Chan, Phoebe Suk-Tak Chan, Yongping Zheng, Alex Ka-Shing Wong, Ying Liu, Iris Frances Forster Benzie
    Pages 191-212

  11. Improving Neural Network Promoter Prediction by Exploiting the Lengths of Coding and Non-Coding Sequences

    • Rachel Caldwell, Yun Dai, Sheenal Srivastava, Yan-Xia Lin, Ren Zhang
    Pages 213-230

  12. Artificial Immune Systems for Self-Nonself Discrimination: Application to Anomaly Detection

    • Sanjoy Das, Min Gui, Anil Pahwa
    Pages 231-248

  13. Computational Intelligence Applied to the Automatic Monitoring of Dressing Operations in an Industrial CNC Machine

    • Arthur Plinio Souza de Braga, André Carlos Ponce Leon Ferreira de Carvalho, João Fernando Gomes de Oliveira
    Pages 249-268

  14. Automated Novelty Detection in Industrial Systems

    • David A. Clifton, Lei A. Clifton, Peter R. Bannister, Lionel Tarassenko
    Pages 269-296

  15. Multiway Principal Component Analysis (MPCA) for Upstream/Downstream Classification of Voltage Sags Gathered in Distribution Substations

    • Abbas Khosravi, Joaquim Melendez, Joan Colomer, Jorge Sanchez
    Pages 297-312

  16. Applications of Neural Networks to Dynamical System Identification and Adaptive Control

    • Xiao-Hua Yu
    Pages 313-331

  17. A Multi-Objective Multi-Colony Ant Algorithm for Solving the Berth Allocation Problem

    • Chun Yew Cheong, Kay Chen Tan
    Pages 333-350

  18. Query Rewriting for Semantic Multimedia Data Retrieval

    • Samira Hammiche, Bernardo Lopez, Salima Benbernou, Mohand-Saïd Hacid
    Pages 351-372

  19. Back Matter

    Pages 373-375
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Keywords

About this book

Computational Intelligence (CI) has emerged as a rapid growing field over the past decade. Its various techniques have been recognized as powerful tools for intelligent information processing, decision making and knowledge management.

"Advances of Computational Intelligence in Industrial Systems" reports the exploration of CI frontiers with an emphasis on a broad spectrum of real-world applications. Section I – Theory and Foundation presents some of the latest developments in CI, e.g. particle swarm optimization, Web services, data mining with privacy protection, kernel methods for text analysis, etc. Section II – Industrial Application covers the CI applications in a wide variety of domains, e.g. clinical decision support, process monitoring for industrial CNC machine, novelty detection for jet engines, ant algorithm for berth allocation, etc.

Such a collection of chapters has presented the state-of-the-art of CI applications in industry and will be an essential resource for professionals and researchers who wish to learn and spot the opportunities in applying CI techniques to their particular problems.

Editors and Affiliations

  • Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong, China

    Ying Liu

  • School of Computer Engineering, Nanyang Technological University, Singapore

    Aixin Sun, Ee-Peng Lim

  • Department of Mechanical Engineering, National University of Singapore, Singapore

    Han Tong Loh, Wen Feng Lu

Bibliographic Information

  • Book Title: Advances of Computational Intelligence in Industrial Systems

  • Editors: Ying Liu, Aixin Sun, Han Tong Loh, Wen Feng Lu, Ee-Peng Lim

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-540-78297-1

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2008

  • Hardcover ISBN: 978-3-540-78296-4Published: 23 May 2008

  • Softcover ISBN: 978-3-642-09698-3Published: 28 October 2010

  • eBook ISBN: 978-3-540-78297-1Published: 30 May 2008

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XVIII, 376

  • Topics: Artificial Intelligence, Mathematical and Computational Engineering

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