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Advances in Computers

Book Description

Since its first volume in 1960, Advances in Computers has presented detailed coverage of innovations in computer hardware, software, theory, design, and applications. It has also provided contributors with a medium in which they can explore their subjects in greater depth and breadth than journal articles usually allow. As a result, many articles have become standard references that continue to be of sugnificant, lasting value in this rapidly expanding field.

  • In-depth surveys and tutorials on new computer technology
  • Well-known authors and researchers in the field
  • Extensive bibliographies with most chapters
  • Many of the volumes are devoted to single themes or subfields of computer science

Table of Contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Copyright
  5. Preface
  6. Chapter One: An Overview of Architecture-Level Power- and Energy-Efficient Design Techniques
    1. Abstract
    2. 1 Introduction
    3. 2 Metrics of Interest
    4. 3 Classification of Selected Architecture-Level Techniques
    5. 4 Presentation of Selected Architecture-Level Techniques
    6. 5 Future Trend
    7. 6 Conclusion
  7. Chapter Two: A Survey of Research on Data Corruption in Cyber–Physical Critical Infrastructure Systems
    1. Abstract
    2. 1 Introduction
    3. 2 Sources of Corrupted Data
    4. 3 Sensor Networks: Application for Comparison
    5. 4 Detection of Corrupted Data
    6. 5 Mitigation of Data Corruption
    7. 6 Propagation of Corrupted Data
    8. 7 Conclusion and Future Direction
    9. Glossary
  8. Chapter Three: A Research Overview of Tool-Supported Model-based Testing of Requirements-based Designs
    1. Abstract
    2. 1 Introduction
    3. 2 The Generic Model-based Testing Approach
    4. 3 Proposed Taxonomy Dimensions
    5. 4 A Research Review of Model-based Testing Tools
    6. 5 Running Example: The Coffee/Tea Vending Machine
    7. 6 Model-based Testing Tools for Pre/Post Notations
    8. 7 Model-based Testing Tools for Transition-based Notations
    9. 8 Model-based Testing Tools for Stochastic Models
    10. 9 Model-based Testing Tools for Data-Flow Models
    11. 10 Results and Discussion
    12. 11 Conclusions
    13. Acknowledgments
  9. Chapter Four: Preference Incorporation in Evolutionary Multiobjective Optimization: A Survey of the State-of-the-Art
    1. Abstract
    2. 1 Introduction
    3. 2 Preference-Based MOEAs: Classification and Review
    4. 3 Discussion
    5. 4 Conclusions and Future Research Paths
  10. Author Index
  11. Subject Index
  12. Contents of Volumes in this Series