AI and IoT for Smart City Applications

Preface
Contents
Editors and Contributors
Smart Drone Controller Framework—Toward an Internet of Drones
	1 Introduction
	2 Related Work
	3 Smart Drone Controller Design and Functions
		3.1 GUI Support for C3I
		3.2 GUI Support for MME
		3.3 GUI Support for MLE
	4 Mission Deployment
	5 Intruder Drone Detection Mission Results
	6 Conclusion and Future Work
	References
Building of Efficient Communication System in Smart City Using Wireless Sensor Network Through Hybrid Optimization Technique
	1 Introduction
	2 Literature Survey
	3 Methodology
	4 Problem Formulation and Numerical Solutions
	5 Conclusions
	References
Estimation of Range for Electric Vehicle Using Fuzzy Logic System
	1 Introduction
		1.1 Smart City Pillars
		1.2 EV Role in Smart Cities
	2 Mathematical Modeling
	3 Design of Fuzzy Logic Classifier
		3.1 Fuzzy Set for Input Variables
		3.2 Fuzzy Set for Output Variables
		3.3 Rule Editor
	4 Simulation Model
	5 Results and Discussions
	6 Conclusion
	References
Traffic Light Control Using RFID and Deep Reinforcement Learning
	1 Introduction
	2 Related Work
	3 Background
	4 The Agent’s Learning Mechanism
	5 Experimental Setup and Training
	6 Conclusion
	References
Driver Drowsiness Alert System Using Real-Time Detection
	1 Introduction
	2 Literature Review
	3 Materials and Methods
		3.1 Dataset Selection
		3.2 Feature Extraction
		3.3 Image Accusation
		3.4 Facial Detection
		3.5 Create a Region of Interest in the Image
		3.6 Build Model
	4 Result and Discussion
		4.1 Accuracy Results
		4.2 Performance Measurement
		4.3 Experimental Screenshot
	5 Conclusion and Future Work
	References
Traffic Control System for Smart City Using Image Processing
	1 Introduction
		1.1 Manual Control
		1.2 Automatic Control
		1.3 Need for Image Processing
	2 Proposed System Description
	3 Introduction to Image Processing
		3.1 Image Acquisition
		3.2 Formation of Image
		3.3 Image Resizing/Rescaling
		3.4 RGB to Grayscale Conversion
		3.5 Image Enhancement
		3.6 Edge Detection
		3.7 Image Matching
	4 Implementation Algorithm
	5 Experimental Results
	6 Conclusion
	7 Future Work
	References
Visual Perception for Smart City Defense Administration and Intelligent Premonition Framework Based on DNN
	1 Introduction
	2 Literature Review
	3 Dataset and Feature Engineering
	4 Synopsis of Proposed Methodology
	5 Classification of Extracted ROI
		5.1 CNN
		5.2 Faster RCNN
	6 Viable Result Analysis
		6.1 Alerting for Engagement
		6.2 Performance Analysis of CNN Model
		6.3 Performance Analysis of Faster RCNN Model
	7 Conclusion
	References
Application of AI/IoT for Smart Renewable Energy Management in Smart Cities
	1 Introduction
		1.1 Key Contributions
		1.2 Organization of the Chapter
	2 Overview of Smart Cities
		2.1 Implementation of Smart Cities
		2.2 Smart Urban Area Services
	3 Role of ICT in Building Smart City
		3.1 Wireless Communication and Associated Technologies
	4 Relationship Between Artificial Intelligence and Renewable Energy
	5 Overview of Smart Grids
	6 Smart Grid: A Perspective of Smart City with Machine Learning and IoT
	7 Discussions and Challenges
	8 Conclusion
	References
Eye-Gaze Based Hands Free Access Control System for Smart City Public Interfaces
	1 Introduction
	2 Literature Review
	3 Proposed Algorithm
		3.1 Synopsis of the Working Methodology
		3.2 Apprehending Camera Frame and Syncing Region of Interest (ROI)
		3.3 Facial Landmark Detection and Reference Points
		3.4 Eye Blink Ratio
		3.5 Nictate Rate Methodology: Differentiating Voluntary and Involuntary Eye Blink
		3.6 Faithful Gaze Detection Algorithm
		3.7 Deploying Gaze Detection Framework Toward Mouse-Cursor Automation
	4 Viable Result Analysis
		4.1 Experimental Results with and Without Eye Glasses
		4.2 Establishment of Gender and Age Invariance
		4.3 Operation Execution Period
	5 Conclusion, Further Experimentation, and Carving Future Path
	References
Reliability Analysis in Cyber-Physical System Using Deep Learning for Smart Cities Industrial IoT Network Node
	1 Introduction
	2 Related Work
	3 Reliability Analysis of IoT Network Node in Smart City Industrial IoT (IIOT) Device
	4 Result
	5 Conclusion
	References
Multi Robot Environment Exploration Using Swarm
	1 Introduction
	2 Challenges
		2.1 Task
		2.2 Problem
		2.3 Solution
	3 Method
		3.1 RRT Exploration
		3.2 Frontier Detection
		3.3 SLAM
		3.4 Swarm
		3.5 Odometry Position
	4 Implementation
		4.1 Simulation
		4.2 Practical Approach
	5 Result
	6 Application
	7 Conclusion
	References
AI and Blockchain for Healthcare Data Security in Smart Cities
	1 Introduction
	2 Related Work
	3 Artificial Intelligence (AI) and Blockchain in the Healthcare Industry
	4 Proposed Methodology
	5 Conclusion
	References
Towards the Sustainable Development of Smart Cities Through Cloud Computing
	1 Introduction
		1.1 Role of Information and Communication Technologies (ICT) in Smart Cities
		1.2 Role of Cloud Computing in Smart Cities
	2 Migrating Cities to the Cloud
		2.1 Cloud Solutions
		2.2 Urban Development
		2.3 Computing in the Cloud
	3 Cloud Computing's Role in Smart City Development
		3.1 Service Provider
		3.2 Widespread Public Acceptance
		3.3 Rapid Development
	4 Layered Architecture
		4.1 Platform Integration Layer
		4.2 Information Gathering Layer
		4.3 Analysis of the Flow of Work Results
		4.4 Information Transfer Layer
		4.5 Authentication Layer
	5 Cloud Computing in Smart Cities
	6 Opportunities of Cloud Computing in Smart Cities
		6.1 Information Management
		6.2 Sustainability
		6.3 Financial System
		6.4 Cost Reductions
		6.5 Citizens Use a Cloud-Based App to Pay for Their Travel
		6.6 Smart Council's
		6.7 Robotics Testing on the Cloud
	7 Examples of Smart Cities Solutions Driven Through Emerging Technologies
		7.1 Newport in Wales, United Kingdom
		7.2 Citytouch
		7.3 Xaqt Solution
		7.4 Spectrum by Miovision
		7.5 Petajakarta for Smart Infrastructure
		7.6 Moovit Urban Mobility App
		7.7 Amazon Auxiliary Voice Generation
		7.8 Virtual Georgia Services
	8 Discussion
	9 Conclusion
	References
Anomalies Detection on Attached IoT Device at Cattle Body in Smart Cities Areas Using Deep Learning
	1 Introduction
	2 Related Work
	3 Body Temperature Sensor
	4 Proposed Algorithm
	5 Experimental Results
	6 Conclusion
	References