Emerging Technologies and Applications for a Smart and Sustainable World

Cover
Title
Copyright
End User License Agreement
Contents
Foreword
Preface
List of Contributors
IOT-based Smart Energy Management in Buildings of Smart Cities
	K. Manimala1,*
	OVERVIEW
	STATE OF THE ART
		Lighting & HVAC Control
		Luxury Load Control
		Detection of Occupants
		Big Data Analytics
	IOT SENSORS
	DATA PRE-PROCESSING
	FEATURES
	IOT PROCESSORS
		Raspberry Pi 4
		IOT 2020 Industrial Gateway
		IOT 2040 Industrial Gateway
		AM335X BASED Beaglebone wireless GATEWAY
		AM5729 BASED Beaglebone AI IOT GATEWAY
	MACHINE LEARNING
	ARTIFICIAL NEURAL NETWORKS
		ANNs used as ML in Smart Building
		Performance Measure
	EDGE AND FOG COMPUTING TECHNIQUES USED IN SMART BUILDINGS
	TECHNOLOGIES FOR THE CONNECTIVITY OF DEVICES
	INFERENCE FROM EXISTING SB LITERATURE
		Extensive Deployment of Sensors
		Communication Problems
		Processing Location
		Application of IOT Data for Other Purposes
		Quantitative Analysis of the Benefits of SB
	RESEARCH GAP
	CONCLUSION
	CONSENT FOR PUBLICATION
	CONFLICT OF INTEREST
	ACKNOWLEDGEMENTS
	REFERENCES
RF Energy-based Smart Harvesting Systems
	Rajdevinder K. Sidhu1,*, Jagpal S. Ubhi1 and Alpana Agarwal2
	INTRODUCTION
		Sources of RF Energy
	RECTENNA UNIT
		RF Receiver Antenna
		Rectifier Unit
	MATCHING CIRCUITS
	STORAGE
	CONCLUSION
	CONSENT FOR PUBLICATION
	CONFLICT OF INTEREST
	ACKNOWLEDGEMENTS
	REFERENCES
A Survey on Security Aspects of Internet of Vehicles
	L. Jai Vinita1,* and V. VetriSelvi1,*
	INTRODUCTION
	COMPARATIVE INVESTIGATION ON IOV AND VANETS
	THE SECURITY ASPECTS OF THE INTERNET OF VEHICLES
		Security Requirements on the Internet of Vehicles
		Security Risks for the Internet of Vehicles
	SECURITY ATTACKS FOR THE INTERNET OF VEHICLES
		Lightweight Cryptographic Security Solutions for the Internet of Vehicles Concerning Attacks
	CONCLUSION
	CONSENT FOR PUBLICATION
	CONFLICT OF INTEREST
	ACKNOWLEDGEMENTS
	REFERENCES
Smart Technologies: Technologies Transforming Cities from Vision to Reality
	M.A. Jabbar1,* and Udit Chawla2,#
	SMART CITIES: WHAT MAKES THEM SMART?
		Introduction to Smart Cities
		Smart City Challenges
	HOW TO SAFEGUARD SMART CITIES?
	INTERNET OF THINGS (IOT) AND SMART CITIES
		IoT Challenges
	INTRUSION DETECTION SYSTEM (IDS) FOR IOT
	CYBER-PHYSICAL SYSTEMS (CPS) AND SMART CITIES
	CONCLUSION
	CONSENT FOR PUBLICATION
	CONFLICT OF INTEREST
	ACKNOWLEDGEMENT
	REFERENCES
Blockchain: The Vibrant Technology for the Management of a Smart Cities
	S. Selvi1,*
	INTRODUCTION
	BASICS OF BLOCKCHAIN
		Characteristics of Blockchain
			Transparency
			Immutability (Tamper-proof)
			Decentralization
			High Processing Capacity
			High Speed of Processing
			Trust
			Auditability (Provenance)
		Why Blockchain?
		Core Components of Blockchain
			Public Blockchain Architecture
			Private Blockchain Architecture
			Consortium Blockchain Architecture
			Terminology of the Blockchain Architecture
		Suitability of Using Blockchain Technology
	SCENARIO OF BLOCKCHAIN INITIATIVES
		Management of Smart Cities using Blockchain
		Better Payment Solutions
			Smart Administration
			Better Logistics Management
			Maintaining Secrecy in Health Records
			Supports Eco-friendly Processes
			Energy Trading Solutions
			Better Identity Management
	BLOCKCHAIN: POTENTIAL USE CASES IN DEVELOPING SMART CITIES
		Land, Property and House Management
		Blockchain-Based Land Registration Process
		IOT Devices Security Management
		Blockchain for Civil Registration System
			Smart Payments
	CONCLUSION
	CONSENT FOR PUBLICATION
	CONFLICT OF INTEREST
	ACKNOWLEDGEMENTS
	REFERENCES
Multi Lingual Smart Virtual Personal Assistance: A Step towards Improving Life of Specially Able Society
	Megha Kamble1,*, Prashant Kumar Shrivastava1, Pratish Shrivastava2, Rahul Nain2 and Nayan Vishwakarma2
	INTRODUCTION
	RELATED WORK
	PROPOSED METHODOLOGY
		Primary Modules
			• Text Classification
			• Voice Input
			Secondary Modules
	RESULTS AND DEMONSTRATIONS
		Common Queries
		Web Browser Functions
		DISCUSSION AND FUTURE SCOPE
	CONCLUSION
	CONSENT FOR PUBLICATION
	CONFLICT OF INTEREST
	ACKNOWLEDGEMENTS
	REFERENCES
Farm Doctor: Smart App Using Deep Learning Multi Class Model for Crop Disease
	Abhishek Jain1, Megha Jain1 and Megha Kamble2,*
	INTRODUCTION
	SMART WORLD/SMART AGRICULTURE
		Common Rice Plant Diseases
			Rice Blast
			Rice Leaves
			Rice Collars
			Rice Necks
			False Smut
			Rice Bacterial Blight
	APPLICATION OF DEEP LEARNING IN SMART AND SUSTAINABLE WORLD
	RELATED WORK
	PROPOSED METHODOLOGY
		Steps: Sequential Representation of CNN Model
	USER-FRIENDLY GUI
	WORKING OF APP
	GRAPHICAL VIEW SCREENSHOTS
	RESULTS AND DISCUSSIONS
	IMAGE DATA SET
	PERFORMANCE ANALYSIS OF CNN MODEL
	GRAPHICAL ANALYSIS
	CLASS PREDICTION: HEALTHY
	CLASS PREDICTION: BACTERIAL BLIGHT (CLASS 0)
	CLASS PREDICTION: FALSE SMUT (CLASS 1)
	CONCLUDING REMARKS
	CONSENT FOR PUBLICATION
	CONFLICT OF INTEREST
	ACKNOWLEDGEMENTS
	REFERENCES
Environmental Monitoring and Management
	C. Subha1,*, Priya A.K.2, Kalaimani R.1 and Sivakumar V.1
	INTRODUCTION
		Definition of Smart City
		Environmental Monitoring
		Objectives of Environmental Monitoring
		Sampling and Monitoring Methods
			Sampling can be Done in any of the Below Methods
		Types of Monitoring
	INTERNET OF THINGS
		Architectural Challenges in IoT
			Perception Layer
			Application Layer
			Network Layer
	MUNICIPAL SOLID WASTE MANAGEMENT AND MONITORING
		Spatial Techniques Involved in Waste Management
		Advantages of RS and GI Sin Waste Management
		Limitations of RS and GI Sin Waste Management
		Optimal Site Selection for Land Fills and Dump Site
		Allocation of Waste Bins
		Truck Routing and Management
		Smart Waste Bins
			Components of Smart Bins
		Architecture for MSW Systems
		Steps in IoT Based Waste Management and IoT Protocols
			Protocols for Application Layer:
			Protocols for Services
			Protocols for Infrastructure
			Protocols for perception Layer
	AIR QUALITY MONITORING AND MANAGEMENT
		Types of Pollutants
			Primary Pollutants
			Secondary Pollutants
			Gaseous Pollutants
			Particulate Pollutants
		Air Quality Monitoring
		Indoor Air Quality Monitoring System
		Smart Air
			Laser Dust Sensor
			Carbon Monoxide Sensor
			Carbon Dioxide Sensor
			Temperature Sensor with Humidity Measurement
			Volatile Organic Compound Sensor
			LEDStrip
		Web Server
		IOT Based Outdoor Air Quality Monitoring
	WATER QUALITY MONITORING AND MANAGEMENT
		Advantages of IoT in water Quality Monitoring
		Equipments for Water Quality Monitoring and Management
		Applications of Water Quality Assessment
	CHALLENGES AND ISSUES IN SMART ENVIRONMENTAL MONITORING AND MANAGEMENT SYSTEMS
	CASE STUDIES
	CONCLUSION
	CONSENT FOR PUBLICATION
	CONFLICT OF INTEREST
	ACKNOWLEDGEMENT
	REFERENCES
Evaluation of the Application Potential of Metamaterial-based Antennas for Intelligent Street Lighting Systems
	Julia Wack1, Kim Ho Yeap1,*, Zi Xin Oh2 and Humaira Nisar2
	INTRODUCTION
	METAMATERIALS
		Metamaterial Antennas
		Application Areas of Metamaterial Antennas
		Smart Cities Concepts
		Streetlight Based Technologies for the Realization of Smart Cities
		LoRa and LoRaWAN Networks
	ANALYSIS OF METAMATERIAL ANTENNAS
		Performance of a Conventional Tri-band Antenna
		Performance of a Metamaterial-based Antenna
	ANTENNAS IN INTELLIGENT STREET LIGHTING SYSTEMS
		Smart City and Intelligent Streetlights
		Requirements of Antennas Installed in Streetlights
		Metamaterial Antennas for Long Range
	SUMMARY AND FORECAST
	CONSENT FOR PUBLICATION
	CONFLICT OF INTEREST
	ACKNOWLEDGEMENTS
	REFERENCES
Subject Index