Smart Systems for Industrial Applications
- Length: 400 pages
- Edition: 1
- Language: English
- Publisher: Wiley-Scrivener
- Publication Date: 2022-02-02
- ISBN-10: 1119762006
- ISBN-13: 9781119762003
- Sales Rank: #0 (See Top 100 Books)
SMART SYSTEMS FOR INDUSTRIAL APPLICATIONS
The prime objective of this book is to provide an insight into the role and advancements of artificial intelligence in electrical systems and future challenges.
The book covers a broad range of topics about AI from a multidisciplinary point of view, starting with its history and continuing on to theories about artificial vs. human intelligence, concepts, and regulations concerning AI, human-machine distribution of power and control, delegation of decisions, the social and economic impact of AI, etc. The prominent role that AI plays in society by connecting people through technologies is highlighted in this book. It also covers key aspects of various AI applications in electrical systems in order to enable growth in electrical engineering. The impact that AI has on social and economic factors is also examined from various perspectives. Moreover, many intriguing aspects of AI techniques in different domains are covered such as e-learning, healthcare, smart grid, virtual assistance, etc.
Audience
The book will be of interest to researchers and postgraduate students in artificial intelligence, electrical and electronic engineering, as well as those engineers working in the application areas such as healthcare, energy systems, education, and others.
Cover Table of Contents Title Page Copyright Preface 1 AI-Driven Information and Communication Technologies, Services, and Applications for Next-Generation Healthcare System 1.1 Introduction: Overview of Communication Technology and Services for Healthcare 1.2 AI-Driven Communication Technology in Healthcare 1.3 AI-Driven mHealth Communication System and Services 1.4 AI-Driven Body Area Network Communication Technologies and Applications 1.5 AI-Driven IoT Device Communication Technologies and Healthcare Applications 1.6 AI-Driven Augmented and Virtual Reality–Based Communication Technologies and Healthcare Applications References 2 Pneumatic Position Servo System Using Multi-Variable Multi-Objective Genetic Algorithm–Based Fractional-Order PID Controller 2.1 Introduction 2.2 Pneumatic Servo System 2.3 Existing System Analysis 2.4 Proposed Controller and Its Modeling 2.5 Genetic Algorithm 2.6 Simulation Results and Discussion 2.7 Hardware Results 2.8 Conclusion References 3 Improved Weighted Distance Hop Hyperbolic Prediction–Based Reliable Data Dissemination (IWDH-HP-RDD) Mechanism for Smart Vehicular Environments 3.1 Introduction 3.2 Related Work 3.3 Proposed Improved Weighted Distance Hop Hyperbolic Prediction–Based Reliable Data Dissemination (IWDH-HP-RDD) Mechanism for Smart Vehicular Environments 3.4 Simulation Results and Analysis of the Proposed IWDH-HP-RDD Scheme 3.5 Conclusion References 4 Remaining Useful Life Prediction of Small and Large Signal Analog Circuits Using Filtering Algorithms 4.1 Introduction 4.2 Literature Survey 4.3 System Architecture 4.4 Remaining Useful Life Prediction 4.5 Results and Discussion 4.6 Conclusion References 5 AI in Healthcare 5.1 Introduction 5.2 Need of AI in Electronic Health Record 5.3 The Trending Role of AI in Pharmaceutical Development 5.4 AI in Surgery 5.5 Artificial Intelligence in Medical Imaging 5.6 AI in Patient Monitoring and Wearable Health Devices 5.7 Revolutionizing of AI in Medicinal Decision-Making at the Bedside 5.8 Future of AI in Healthcare 5.9 Conclusion References 6 Introduction of Artificial Intelligence 6.1 Introduction 6.2 Introduction to the Philosophy Behind Artificial Intelligence 6.3 Basic Functions of Artificial Intelligence 6.4 Existing Technology and Its Review 6.5 Objectives 6.6 Significance of the Study 6.7 Discussion 6.8 Applications of AI 6.9 Conclusion References 7 Artificial Intelligence in Healthcare: Algorithms and Decision Support Systems 7.1 Introduction 7.2 Machine Learning Work Flow and Applications in Healthcare 7.3 Commercial Decision Support Systems Based on AI IBM’s Watson 7.4 Conclusion References 8 Smart Homes and Smart Cities 8.1 Smart Homes 8.2 Smart Cities References 9 Application of AI in Healthcare 9.1 Introduction 9.2 Related Works 9.3 DL Frameworks for Identifying Disease 9.4 Proposed Work 9.5 Results and Discussions 9.6 Conclusion References 10 Battery Life and Electric Vehicle Range Prediction 10.1 Introduction 10.2 Different Stages of Electrification of Electric Vehicles 10.3 Estimating SoC 10.4 Kalman Filter 10.5 Estimating SoH 10.6 Results and Discussion 10.7 Conclusion References 11 AI-Driven Healthcare Analysis 11.1 Introduction 11.2 Literature Review 11.3 Feature Extraction 11.4 Classifiers 11.5 Results and Conclusion References 12 A Novel Technique for Continuous Monitoring of Fuel Adulteration 12.1 Introduction 12.2 Existing Method 12.3 Interfacing MPX2010DP with INA114 12.4 Results and Discussion 12.5 Conclusion References 13 Improved Merkle Hash and Trapdoor Function–Based Secure Mutual Authentication (IMH-TF-SMA) Mechanism for Securing Smart Home Environment 13.1 Introduction 13.2 Related Work 13.3 Proposed Improved Merkle Hash and Trapdoor Function–Based Secure Mutual Authentication (IMH-TF-SMA) Mechanism for Securing Smart Home Environment 13.4 Results and Discussion 13.5 Conclusion References 14 Smart Sensing Technology 14.1 Introduction References Index Also of Interest End User License Agreement
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