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