Cover image for Cognitive Engineering for Next Generation Computing

Cognitive Engineering for Next Generation Computing

Release Date: 2021/04/01
ISBN: 9781119711087
Topic:
0%
22
Chapters
0-1
Hours read
0k
Total Words
    Start Reading Now    
       Add to Wishlist       
View table of contents

The cognitive approach to the IoT provides connectivity to everyone and everything since IoT connected devices are known to increase rapidly. When the IoT is integrated with cognitive technology, performance is improved, and smart intelligence is obtained. Discussed in this book are different types of datasets with structured content based on cognitive systems. The IoT gathers the information from the real time datasets through the internet, where the IoT network connects with multiple devices.

This book mainly concentrates on providing the best solutions to existing real-time issues in the cognitive domain. Healthcare-based, cloud-based and smart transportation-based applications in the cognitive domain are addressed. The data integrity and security aspects of the cognitive computing main are also thoroughly discussed along with validated results.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright
  4. Dedication
  5. Preface
  6. Acknowledgments
  7. 1 Introduction to Cognitive Computing
    1. 1.1 Introduction: Definition of Cognition, Cognitive Computing
    2. 1.2 Defining and Understanding Cognitive Computing
    3. 1.3 Cognitive Computing Evolution and Importance
    4. 1.4 Difference Between Cognitive Computing and Artificial Intelligence
    5. 1.5 The Elements of a Cognitive System
    6. 1.6 Ingesting Data Into Cognitive System
    7. 1.7 Analytics Services
    8. 1.8 Machine Learning
    9. 1.9 Machine Learning Process
    10. 1.10 Machine Learning Techniques
    11. 1.11 Hypothesis Space
    12. 1.12 Developing a Cognitive Computing Application
    13. 1.13 Building a Health Care Application
    14. 1.14 Advantages of Cognitive Computing
    15. 1.15 Features of Cognitive Computing
    16. 1.16 Limitations of Cognitive Computing
    17. 1.17 Conclusion
    18. References
  8. 2 Machine Learning and Big Data in Cyber-Physical System: Methods, Applications and Challenges
    1. 2.1 Introduction
    2. 2.2 Cyber-Physical System Architecture
    3. 2.3 Human-in-the-Loop Cyber-Physical Systems (HiLCPS)
    4. 2.4 Machine Learning Applications in CPS
    5. 2.5 Use of IoT in CPS
    6. 2.6 Use of Big Data in CPS
    7. 2.7 Critical Analysis
    8. 2.8 Conclusion
    9. References
  9. 3 HemoSmart: A Non-Invasive Device and Mobile App for Anemia Detection
    1. 3.1 Introduction
    2. 3.2 Literature Review
    3. 3.3 Methodology
    4. 3.4 Results
    5. 3.5 Discussion
    6. 3.6 Originality and Innovativeness of the Research
    7. 3.7 Conclusion
    8. References
  10. 4 Advanced Cognitive Models and Algorithms
    1. 4.1 Introduction
    2. 4.2 Microsoft Azure Cognitive Model
    3. 4.3 IBM Watson Cognitive Analytics
    4. 4.4 Natural Language Modeling
    5. 4.5 Representation of Knowledge Models
    6. 4.6 Conclusion
    7. References
  11. 5 iParking—Smart Way to Automate the Management of the Parking System for a Smart City
    1. 5.1 Introduction
    2. 5.2 Background & Literature Review
    3. 5.3 Research Gap
    4. 5.4 Research Problem
    5. 5.5 Objectives
    6. 5.6 Methodology
    7. 5.7 Testing and Evaluation
    8. 5.8 Results
    9. 5.9 Discussion
    10. 5.10 Conclusion
    11. References
  12. 6 Cognitive Cyber-Physical System Applications
    1. 6.1 Introduction
    2. 6.2 Properties of Cognitive Cyber-Physical System
    3. 6.3 Components of Cognitive Cyber-Physical System
    4. 6.4 Relationship Between Cyber-Physical System for Human–Robot
    5. 6.5 Applications of Cognitive Cyber-Physical System
    6. 6.6 Case Study: Road Management System Using CPS
    7. 6.7 Conclusion
    8. References
  13. 7 Cognitive Computing
    1. 7.1 Introduction
    2. 7.2 Evolution of Cognitive System
    3. 7.3 Cognitive Computing Architecture
    4. 7.4 Enabling Technologies in Cognitive Computing
    5. 7.5 Applications of Cognitive Computing
    6. 7.6 Future of Cognitive Computing
    7. 7.7 Conclusion
    8. References
  14. 8 Tools Used for Research in Cognitive Engineering and Cyber Physical Systems
    1. 8.1 Cyber Physical Systems
    2. 8.2 Introduction: The Four Phases of Industrial Revolution
    3. 8.3 System
    4. 8.4 Autonomous Automobile System
    5. 8.5 Robotic System
    6. 8.6 Mechatronics
    7. References
  15. 9 Role of Recent Technologies in Cognitive Systems
    1. 9.1 Introduction
    2. 9.2 Natural Language Processing for Cognitive Systems
    3. 9.3 Taxonomies and Ontologies of Knowledge Representation for Cognitive Systems
    4. 9.4 Support of Cloud Computing for Cognitive Systems
    5. 9.5 Cognitive Analytics for Automatic Fraud Detection Using Machine Learning and Fuzzy Systems
    6. 9.6 Design of Cognitive System for Healthcare Monitoring in Detecting Diseases
    7. 9.7 Advanced High Standard Applications Using Cognitive Computing
    8. 9.8 Conclusion
    9. References
  16. 10 Quantum Meta-Heuristics and Applications
    1. 10.1 Introduction
    2. 10.2 What is Quantum Computing?
    3. 10.3 Quantum Computing Challenges
    4. 10.4 Meta-Heuristics and Quantum Meta-Heuristics Solution Approaches
    5. 10.5 Quantum Meta-Heuristics Algorithms With Application Areas
    6. References
  17. 11 Ensuring Security and Privacy in IoT for Healthcare Applications
    1. 11.1 Introduction
    2. 11.2 Need of IoT in Healthcare
    3. 11.3 Literature Survey on an IoT-Aware Architecture for Smart Healthcare Systems
    4. 11.4 IoT in Healthcare: Challenges and Issues
    5. 11.5 Proposed System: 6LoWPAN and COAP Protocol-Based IoT System for Medical Data Transfer by Preserving Privacy of Patient
    6. 11.6 Conclusion
    7. References
  18. 12 Empowering Secured Outsourcing in Cloud Storage Through Data Integrity Verification
    1. 12.1 Introduction
    2. 12.2 Literature Survey
    3. 12.3 System Design
    4. 12.4 Implementation and Result Discussion
    5. 12.5 Performance
    6. 12.6 Conclusion
    7. References
  19. Index
  20. End User License Agreement
18.118.1.158