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Computational Intelligence and Efficiency in Engineering Systems

  • Book
  • © 2015

Overview

Editors:
  1. Grzegorz Borowik

    1. Warsaw University of Technology, Warsaw, Poland

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  2. Zenon Chaczko

    1. University of Technology, Sydney, Australia

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  3. Witold Jacak

    1. University of Applied Sciences Upper Austria, Hagenberg, Austria

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  4. Tadeusz Łuba

    1. Warsaw University of Technology, Warsaw, Poland

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  • Provides an insightful and critical review of issues related to intelligent computing, covering the state of the art of various techniques and real-world applications
  • Carefully selected best papers presented at the APCASE
  • 2014, the 2nd Asia-Pacific Conference on the Computer Aided System Engineering, APCASE 2014, February 10-12, 2014 in South Kuta, Bali, Indonesia
  • Highlights the tremendous and steadily growing role of data oriented and software intensive systems
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Computational Intelligence (SCI, volume 595)

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Table of contents (30 chapters)

  1. Front Matter

    Pages i-xiv
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  2. Computational Models and Knowledge Discovery

    1. Front Matter

      Pages 1-1
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    2. Evolutionary Feature Optimization and Classification for Monitoring Floating Objects

      • Anup Kale, Zenon Chaczko
      Pages 3-16

    3. Alternative Approaches for Fast Boolean Calculations Using the GPU

      • Bernd Steinbach, Matthias Werner
      Pages 17-31

    4. Technique for Transformation of DL Knowledge Base to Boolean Representation

      • Grzegorz Borowik, Dariusz Nogalski
      Pages 33-46

    5. Digital Patterns for Heritage and Data Preservation Standards

      • Lucia Carrion Gordon, Zenon Chaczko
      Pages 47-59

    6. Methods for Genealogy and Building Block Analysis in Genetic Programming

      • Bogdan Burlacu, Michael Affenzeller, Stephan Winkler, Michael Kommenda, Gabriel Kronberger
      Pages 61-74

    7. Multi-Population Genetic Programming with Data Migration for Symbolic Regression

      • Michael Kommenda, Michael Affenzeller, Gabriel Kronberger, Bogdan Burlacu, Stephan Winkler
      Pages 75-87

    8. Search Strategies for Grammatical Optimization Problems—Alternatives to Grammar-Guided Genetic Programming

      • Gabriel Kronberger, Michael Kommenda
      Pages 89-102

    9. Identification and Classification of Objects and Motions in Microscopy Images of Biological Samples Using Heuristic Algorithms

      • Stephan M. Winkler, Susanne Schaller, Daniela Borgmann, Lisa Obritzberger, Viktoria Dorfer, Christian Haider et al.
      Pages 103-117

  3. Communications, Networks, and Cloud Computing

    1. Front Matter

      Pages 119-119
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    2. Comparison of TCP/IP Routing Versus OpenFlow Table and Implementation of Intelligent Computational Model to Provide Autonomous Behavior

      • Ameen Banjar, Pakawat Pupatwibul, Robin Braun
      Pages 121-142

    3. Designing Biomimetic-Inspired Middleware for Anticipative Sensor-Actor Networks

      • Christopher Chiu, Zenon Chaczko
      Pages 143-155

    4. Empirical Analysis of Terminal Reliability in Multistage Interconnection Networks

      • Nur Arzilawati Md Yunus, Mohamed Othman
      Pages 157-169

    5. Authorial, Adaptive Method of Users’ Authentication and Authorization

      • Robert Sekulski, Marek Woda
      Pages 171-184

    6. Estimation of Quality of Service in Stochastic Workflow Schedules

      • Michal Wosko, Jan Nikodem
      Pages 185-193

    7. Multi-Party System Authentication for Cloud Infrastructure by Implementing QKD

      • Roszelinda Khalid, Zuriati Ahmad Zukarnain, Zurina Mohd Hanapi, Mohamad Afendee Mohamed
      Pages 195-207

    8. SmartCloud Orchestrator—the First Implementation for Education in the World at WrUT

      • Jerzy Greblicki, Jerzy Kotowski, Mariusz Ochla, Jacek Oko
      Pages 209-215

    9. Cloud Computing—Effect of Evolutionary Algorithm on Load Balancing

      • Shahrzad Aslanzadeh, Zenon Chaczko, Christopher Chiu
      Pages 217-225

  4. Computer-Based Systems

    1. Front Matter

      Pages 227-227
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Keywords

About this book

This carefully edited and reviewed volume addresses the increasingly popular demand for seeking more clarity in the data that we are immersed in. It offers excellent examples of the intelligent ubiquitous computation, as well as recent advances in systems engineering and informatics. The content represents state-of-the-art foundations for researchers in the domain of modern computation, computer science, system engineering and networking, with many examples that are set in industrial application context. The book includes the carefully selected best contributions to APCASE 2014, the 2nd Asia-Pacific Conference on Computer Aided System Engineering, held February 10-12, 2014 in South Kuta, Bali, Indonesia. The book consists of four main parts that cover data-oriented engineering science research in a wide range of applications: computational models and knowledge discovery; communications networks and cloud computing; computer-based systems; and data-oriented and software-intensive systems.

Editors and Affiliations

  • Warsaw University of Technology, Warsaw, Poland

    Grzegorz Borowik, Tadeusz Łuba

  • University of Technology, Sydney, Australia

    Zenon Chaczko

  • University of Applied Sciences Upper Austria, Hagenberg, Austria

    Witold Jacak

Bibliographic Information

  • Book Title: Computational Intelligence and Efficiency in Engineering Systems

  • Editors: Grzegorz Borowik, Zenon Chaczko, Witold Jacak, Tadeusz Łuba

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-319-15720-7

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing Switzerland 2015

  • Hardcover ISBN: 978-3-319-15719-1Published: 26 March 2015

  • Softcover ISBN: 978-3-319-36859-7Published: 06 October 2016

  • eBook ISBN: 978-3-319-15720-7Published: 10 March 2015

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XIV, 442

  • Number of Illustrations: 129 b/w illustrations, 41 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence, Data Mining and Knowledge Discovery

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