Efficient Single Board Computers (SBCs) and advanced VLSI systems have resulted in edge analytics and faster decision making. The QoS parameters like energy, delay, reliability, security, and throughput should be improved on seeking better intelligent expert systems. The resource constraints in the Edge devices, challenges the researchers to meet the required QoS. Since these devices and components work in a remote unattended environment, an optimum methodology to improve its lifetime has become mandatory. Continuous monitoring of events is mandatory to avoid tragic situations; it can only be…mehr
Efficient Single Board Computers (SBCs) and advanced VLSI systems have resulted in edge analytics and faster decision making. The QoS parameters like energy, delay, reliability, security, and throughput should be improved on seeking better intelligent expert systems. The resource constraints in the Edge devices, challenges the researchers to meet the required QoS. Since these devices and components work in a remote unattended environment, an optimum methodology to improve its lifetime has become mandatory. Continuous monitoring of events is mandatory to avoid tragic situations; it can only be enabled by providing high QoS. The applications of IoT in digital twin development, health care, traffic analysis, home surveillance, intelligent agriculture monitoring, defense and all common day to day activities have resulted in pioneering embedded devices, which can offer high computational facility without much latency and delay. The book address industrial problems in designing expert system and IoT applications. It provides novel survey and case study report on recent industrial approach towards Smart City development.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
G. R. Kanagachidambaresan received his PhD from Anna University Chennai in 2017. He is currently an associate professor in the Department of Computer Science Engineering, Veltech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, India. His main research interests include Industry 4.0, smart city projects, Body Sensor Network and Fault Tolerant Wireless Sensor Network. He has published several articles in SCI journals and is an associate editor of Wireless Networks.
Inhaltsangabe
Preface xv
1 Smart Health Care Development: Challenges and Solutions 1 R. Sujatha, E.P. Ephzibah and S. Sree Dharinya
1.1 Introduction 2
1.2 ICT Explosion 3
1.2.1 RFID 4
1.2.2 IoT and Big Data 5
1.2.3 Wearable Sensors--Head to Toe 7
1.2.4 Cloud Computing 8
1.3 Intelligent Healthcare 10
1.4 Home Healthcare 11
1.5 Data Analytics 11
1.6 Technologies--Data Cognitive 13
1.6.1 Machine Learning 13
1.6.2 Image Processing 14
1.6.3 Deep Learning 14
1.7 Adoption Technologies 15
1.8 Conclusion 15
References 15
2 Working of Mobile Intelligent Agents on the Web--A Survey 21 P.R. Joe Dhanith and B. Surendiran
2.1 Introduction 21
2.2 Mobile Crawler 23
2.3 Comparative Study of the Mobile Crawlers 47
2.4 Conclusion 47
References 47
3 Power Management Scheme for Photovoltaic/Battery Hybrid System in Smart Grid 49 T. Bharani Prakash and S. Nagakumararaj
3.1 Power Management Scheme 50
3.2 Internal Power Flow Management 50
3.2.1 PI Controller 51
3.2.2 State of Charge 53
3.3 Voltage Source Control 54
3.3.1 Phase-Locked Loop 55
3.3.2 Space Vector Pulse Width Modulation 56
3.3.3 Park Transformation (abc to dq0) 57
3.4 Simulation Diagram and Results 58
3.4.1 Simulation Diagram 58
3.4.2 Simulation Results 63
Conclusion 65
4 Analysis: A Neural Network Equalizer for Channel Equalization by Particle Swarm Optimization for Various Channel Models 67 M. Muthumari, D.C. Diana and C. Ambika Bhuvaneswari
4.1 Introduction 68
4.2 Channel Equalization 72
4.2.1 Channel Models 73
4.2.1.1 Tapped Delay Line Model 74
4.2.1.2 Stanford University Interim (SUI) Channel Models 75
4.2.2 Artificial Neural Network 75
4.3 Functional Link Artificial Neural Network 76
4.4 Particle Swarm Optimization 76
4.5 Result and Discussion 77
4.5.1 Convergence Analysis 77
4.5.2 Comparison Between Different Parameters 79
4.5.3 Comparison Between Different Channel Models 80
4.6 Conclusion 81
References 82
5 Implementing Hadoop Container Migrations in OpenNebula Private Cloud Environment 85 P. Kalyanaraman, K.R. Jothi, P. Balakrishnan, R.G. Navya, A. Shah and V. Pandey
5.1 Introduction 86
5.1.1 Hadoop Architecture 86
5.1.2 Hadoop and Big Data 88
5.1.3 Hadoop and Virtualization 88
5.1.4 What is OpenNebula? 89
5.2 Literature Survey 90
5.2.1 Performance Analysis of Hadoop 90
5.2.2 Evaluating Map Reduce on Virtual Machines 91
5.2.3 Virtualizing Hadoop Containers 94
5.2.4 Optimization of Hadoop Cluster Using Cloud Platform 95
5.2.5 Heterogeneous Clusters in Cloud Computing 96
5.2.6 Performance Analysis and Optimization in Hadoop 97
5.2.7 Virtual Technologies 97
5.2.8 Scheduling 98
5.2.9 Scheduling of Hadoop VMs 98
5.3 Discussion 99
5.4 Conclusion 100
References 101
6 Transmission Line Inspection Using Unmanned Aerial Vehicle 105 A. Mahaboob Subahani, M. Kathiresh and S. Sanjeev
1 Smart Health Care Development: Challenges and Solutions 1 R. Sujatha, E.P. Ephzibah and S. Sree Dharinya
1.1 Introduction 2
1.2 ICT Explosion 3
1.2.1 RFID 4
1.2.2 IoT and Big Data 5
1.2.3 Wearable Sensors--Head to Toe 7
1.2.4 Cloud Computing 8
1.3 Intelligent Healthcare 10
1.4 Home Healthcare 11
1.5 Data Analytics 11
1.6 Technologies--Data Cognitive 13
1.6.1 Machine Learning 13
1.6.2 Image Processing 14
1.6.3 Deep Learning 14
1.7 Adoption Technologies 15
1.8 Conclusion 15
References 15
2 Working of Mobile Intelligent Agents on the Web--A Survey 21 P.R. Joe Dhanith and B. Surendiran
2.1 Introduction 21
2.2 Mobile Crawler 23
2.3 Comparative Study of the Mobile Crawlers 47
2.4 Conclusion 47
References 47
3 Power Management Scheme for Photovoltaic/Battery Hybrid System in Smart Grid 49 T. Bharani Prakash and S. Nagakumararaj
3.1 Power Management Scheme 50
3.2 Internal Power Flow Management 50
3.2.1 PI Controller 51
3.2.2 State of Charge 53
3.3 Voltage Source Control 54
3.3.1 Phase-Locked Loop 55
3.3.2 Space Vector Pulse Width Modulation 56
3.3.3 Park Transformation (abc to dq0) 57
3.4 Simulation Diagram and Results 58
3.4.1 Simulation Diagram 58
3.4.2 Simulation Results 63
Conclusion 65
4 Analysis: A Neural Network Equalizer for Channel Equalization by Particle Swarm Optimization for Various Channel Models 67 M. Muthumari, D.C. Diana and C. Ambika Bhuvaneswari
4.1 Introduction 68
4.2 Channel Equalization 72
4.2.1 Channel Models 73
4.2.1.1 Tapped Delay Line Model 74
4.2.1.2 Stanford University Interim (SUI) Channel Models 75
4.2.2 Artificial Neural Network 75
4.3 Functional Link Artificial Neural Network 76
4.4 Particle Swarm Optimization 76
4.5 Result and Discussion 77
4.5.1 Convergence Analysis 77
4.5.2 Comparison Between Different Parameters 79
4.5.3 Comparison Between Different Channel Models 80
4.6 Conclusion 81
References 82
5 Implementing Hadoop Container Migrations in OpenNebula Private Cloud Environment 85 P. Kalyanaraman, K.R. Jothi, P. Balakrishnan, R.G. Navya, A. Shah and V. Pandey
5.1 Introduction 86
5.1.1 Hadoop Architecture 86
5.1.2 Hadoop and Big Data 88
5.1.3 Hadoop and Virtualization 88
5.1.4 What is OpenNebula? 89
5.2 Literature Survey 90
5.2.1 Performance Analysis of Hadoop 90
5.2.2 Evaluating Map Reduce on Virtual Machines 91
5.2.3 Virtualizing Hadoop Containers 94
5.2.4 Optimization of Hadoop Cluster Using Cloud Platform 95
5.2.5 Heterogeneous Clusters in Cloud Computing 96
5.2.6 Performance Analysis and Optimization in Hadoop 97
5.2.7 Virtual Technologies 97
5.2.8 Scheduling 98
5.2.9 Scheduling of Hadoop VMs 98
5.3 Discussion 99
5.4 Conclusion 100
References 101
6 Transmission Line Inspection Using Unmanned Aerial Vehicle 105 A. Mahaboob Subahani, M. Kathiresh and S. Sanjeev
6.1 Introduction 106
6.1.1 Unmanned Aerial Vehicle 106
6.1.2 Quadcopter 106
6.2 Literature Survey 107
6.3 System Architecture 108
6.4 ArduPilot 109
6.5 Arduino Mega 111
6.6 Brushless DC Motor 111 &
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