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International Journal of Service Science, Management, Engineering, and Technology (IJSSMET) Volume 6, Issue 2

Book Description

The International Journal of Service Science, Management, Engineering, and Technology (IJSSMET) is a multidisciplinary journal that publishes high-quality and significant research in all fields of computer science, information technology, software engineering, soft computing, computational intelligence, operations research, management science, marketing, applied mathematics, statistics, policy analysis, economics, natural sciences, medicine, and psychology, among others. This journal publishes original articles, reviews, technical reports, patent alerts, and case studies on the latest innovative findings of new methodologies and techniques.

This issue contains the following articles:

  • Big Data: Enabler or Challenge for Enterprise 2.0
  • Automatic Generation Control of Thermal-Thermal-Hydro Power Systems with PID Controller using Ant Colony Optimization
  • Semantics and Agents Oriented Web Personalization: State of the Art
  • Generations of Technology Intelligence in the SMEs: A Science Park Case Study

Table of Contents

  1. Cover
  2. Masthead
  3. Call For Articles
  4. Big Data:
    1. ABSTRACT
    2. INTRODUCTION
    3. OUTLINE OF THIS ARTICLE
    4. BIG DATA IS NO BIG DEAL
    5. MAJOR CHANGES IN TODAY’S TIMES
    6. UNDERSTANDING UNSTRUCTURED DATA
    7. UNSTRUCTURED DATA MANAGEMENT MATTERS AS MUCH IF NOT MORE THAN STRUCTURED DATA
    8. DATA IS NOT THE BIGGEST OBSTACLE
    9. INFORMATION MUST BECOME EASIER TO UNDERSTAND AND ACT UPON
    10. TECHNOLOGICAL INNOVATIONS
    11. ANY ENTERPRISE 2.0 CAN BENEFIT FROM THESE NEW TECHNOLOGIES AND TECHNIQUES
    12. TOMORROW’S DECISION MAKING WILL HAVE TO BE DIFFERENT
    13. BIG DATA IS NOT ONLY FOR BUSINESS ENTERPRISES
    14. CONCLUSION
    15. FUTURE WORK
    16. REFERENCES
  5. Automatic Generation Control of Thermal-Thermal-Hydro Power Systems with PID Controller using Ant Colony Optimization
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. SYSTEM STUDIED
    4. 3. DESIGN OF PROPORTIONAL-INTEGRAL-DERIVATIVE CONTROLLER
    5. 4. SIMULATION RESULTS AND DISCUSSION
    6. 5. CONCLUSION AND FUTURE WORK
    7. REFERENCES
  6. Semantics and Agents Oriented Web Personalization:
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. STATE OF ART ON SEMANTIC WEB AND INTELLIGENT AGENTS IN LIGHT OF WEB PERSONALIZATION
    4. 3. SEMANTIC WEB AND INTELLIGENT AGENTS BASED ADAPTIVE WEB APPLICATIONS: STATE OF THE ART
    5. 4. A COMPARATIVE STUDY ON SCOPE OF SEMANTIC WEB AND SOFTWARE AGENTS IN WEB PERSONALIZATION
    6. 5. RESEARCH CHALLENGES AND FUTURE WORK
    7. 6. CONCLUSION
    8. REFERENCES
  7. Generations of Technology Intelligence in the SMEs:
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. LITERATURE REVIEW
    4. 3. METHODOLOGY
    5. 4. RESULTS AND DISCUSSION
    6. 5. CONCLUSION AND SUGGESTIONS FOR FURTHER RESEARCHES
    7. REFERENCES
    8. ENDNOTES
  8. Call For Articles