Smart cities and villages have enhanced the quality of lives of residents. Various computer-assisted technologies have been harnessed for the development of smart cities and villages in order to provide solutions for common and niche urban problems. The development of smart environments has been possible due on advances in computing power and artificial intelligence (AI) that have allowed the deployment of scalable technologies. Artificial Intelligence for Smart Cities and Smart Villages: Advanced Technologies, Development, and Challenges summarizes the role of AI in planning and designing smart solutions for urban and rural environments.
This book is divided into three sections to impart a better understanding of the topics to readers. These sections are:
1) Demystifying smart cities and villages: A traditional perspective,
2) Smart innovations for rural lifestyle management solutions, and
3) Case studies. Through this book, readers will be able to understand various advanced technologies that are vital to the development of smart cities and villages.
The book presents 15 chapters that present effective solutions to urban and rural challenges. Concepts highlighted in chapters include smart farms, indoor object classification systems, smart transportation, blockchains for medical information, humanoid robots for rural education, IoT devices for farming, and much more.
This book is intended for undergraduate and graduate engineering students across all disciplines, security providers in the IT and related fields, and trainees working for infrastructure management companies. Researchers and consultants at all levels working in the areas of artificial intelligence, machine learning, IoT, blockchain, network security, and cloud computing will also find the contents beneficial in planning projects involving smart environments.
Author(s): Megha Bhushan, Sailesh Iyer, Ashok Kumar, Tanupriya Choudhury, Arun Negi
Publisher: Bentham Science Publishers
Year: 2022
Language: English
Pages: 329
City: Singapore
Cover
Title
Copyright
End User License Agreement
Contents
Foreword
Preface
List of Contributors
Role of Artificial Intelligence in the Emergence of Smart Cities
Ipseeta Nanda1 and Dileep K. Mohanachandran2,*
INTRODUCTION
LITERATURE REVIEW
CONCEPTUAL DEFINITION-SMART CITIES
ROLE OF IOT
Smart Cities and IoT Applications
Components of the Smart City
AI AND CITIES
CASES FROM EUROPE: PLATFORMS OF AI IN SMART CITIES
Smart Santander
CitySDK
Open Cities
I-People
IoTopen Platforms
Sentilo
IBM Intelligent Operation Center
i-SCOPE
SCOPE OF AI IN SMART CITIES
Smart Flood Monitoring
Smart Home
SMART HOME FUNCTIONS
[Alert]
Alert
Monitor
Control
Intelligence
Smart Infrastructure
AI AND WATER SUPPLY
TREATMENT OF WASTEWATER
Smart Gardening
Biological Waste Treatment
Smart Cities and Energy Management
Artificial Intelligence and Smart Grid
Application of Artificial Intelligence in Electricity Trading
Artificial Intelligence in the Virtual Power Plant
IoT Microgrids
e. Smart Metres
Failure Detection and Predictive Maintenance
Pipeline Management
THEORETICAL IMPLICATIONS
The Advantages of Applying Smart City Strategies
Smart City Strategies' Disadvantages
Smart City Policy Focus
CONCLUSION
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGMENTS
REFERENCES
Smart City and Village: Future Trends
Arvind Shinde1, Suresh Iyer2,*, Khushboo Jain3 and Srilalitha Sagi4
INTRODUCTION
AMANORA SMART CITY MODEL
The Idea Stage
The Implementation Stage
DIGITAL LIVING- PROJECT ERP
Pre-Engineered Modular Design
Employment Opportunities [6, 11]
Challenges and Solutions [9, 11, 13]
Types of Construction Technology Suited to the Challenge
Challenges and Solutions
CONCLUDING REMARKS
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENTS
REFERENCES
Humanoid Robot for Aadhaar Service in Rural Development
Appala S. Muttipati1,*, Sangeeta Viswanadham2 and Bhramaji Godi3
INTRODUCTION
Aadhaar Features
Distinctiveness
Compactness
Random in Nature
Centralized Architecture
Free Open-source Technologies
Building Aadhaar Services with Artificial Intelligence Methods
Aadhaar Services
LPG Subsidy
Monthly Pension
E-Voting
Provident Fund
Digital Life Certificate
Digital Locker
Acquisition of Passport
Jan Dhan Yojana
Opening New Bank Account
e-KYC Service
Aadhaar Enrolment Process
HUMANOID ROBOT
The Role of Humanoid Robots in Aadhaar Services
Aadhaar Service with Data Processing using Humanoid Robot
FEATURES OF HUMANOID ROBOT
WORKING PROCEDURE OF HUMANOID ROBOT
Aadhaar Application Services (AAS)
OPERATIONS OF HUMANOID ROBOT
New Aadhar Card Enrollment/registration
Collection of Physical Information
Photo Identification
Calculate the Distance Between the User and the Robot
Ultrasonic Sensors
Equipment Required
Working
Iris Scanning
Updating Aadhaar Information
Upload Original Documents for Proof
Providing Acknowledge Slip with Challan for PVC Aadhaar Card
CONCLUDING REMARKS
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENTS
REFERENCES
Adaptation of Blockchain in Internet of Medical Things for Remote Patient Monitoring
Cinthia J. Godly1,*, Venki Balasubramanian1, Ram Srinivasan2 and Bevish Y. Jinila3
INTRODUCTION
IoMT
BLOCKCHAIN FOR HEALTHCARE SYSTEMS
IMPLEMENTATION OF BLOCKCHAIN WITH IOMT
PCA
RPMS
Implementation of the RPMS
Smart Contracts Arrangement
Cloud Storage
Proof of Authority (PoA) Algorithm
Overlay Network
SSHEALTH ARCHITECTURE AND BLOCKCHAIN CONFIGURATION
ssHealth Architecture
COMPARISON OF THE IMPLEMENTATION METHODS
APPLICATIONS OF BLOCKCHAIN WITH IOMT
CHALLENGES OF IOMT
CONCLUSION
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENTS
REFERENCES
Analysing Plant Leaf for Detecting Disease by using Convolutional Neural Network
Ashutosh A. Abhangi1,* and Sailesh Iyer1
INTRODUCTION
ARTIFICIAL INTELLIGENCE
NEURAL NETWORK
CONVOLUTION NEURAL NETWORK
Process of CNN Classification
Types of Layers
LITERATURE REVIEW
NEED OF RESEARCH
WHY CNN?
PROBLEM STATEMENT
PROPOSED FRAMEWORK
Leaf Image Acquisition
RGB to Grayscale Image
Step 1: Noise Filter
Step 2: Adaptive Thresholding
STUDY OF IMPLEMENTATION TOOLS
IMPLEMENTATION
Steps for Installation of OpenCV on Python
RESULT OF LEAF DISEASE DETECTION
CONCLUSION
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENTS
REFERENCES
Indoor Object Classification System using Neural Networks for Smart Environments
Mouna Afif1,*, Riadh Ayachi1 and Mohamed Atri2
INTRODUCTION
STATE OF THE ART
PROPOSED APPROACH FOR INDOOR OBJECTS RECOGNITION
EXPERIMENTS AND RESULTS
CONCLUSION
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENTS
REFERENCES
Smart Transportation Systems: Recent Developments, Current Challenges and Opportunities
Aman Kumar1,*, Nishant Raj Kapoor1, Harish C. Arora1 and Ashok Kumar1
INTRODUCTION
Importance of Transportation
Background of ITS
Definitions of ITS
INTELLIGENT TRANSPORTATION SYSTEM
Importance of Transportation
ATMS IN ITS
ARTS IN ITS
APTS IN ITS
CVO IN ITS
AVCS IN ITS
ATIS IN ITS
ROLE OF LATEST TECHNOLOGIES IN ITS
Artificial Intelligence
ML IN ITS
DL IN ITS
CURRENT STATUS OF ITS
Challenges and Opportunities
Fundamental Issues in Transportation System
Financial Issues
Policy Issues
Education and Training Issues
Safety Issues (System Security)
Environmental Issues
ITS IN INDIA
CONCLUSION
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENTS
REFERENCES
Artificial Intelligence Enabled Smart Cities for Premises Security
Srujan K. Raju1,*, Vinayak G. Jagtap1 and Parag A. Kulkarni1
INTRODUCTION
SMART CITY
Smart City: Difficulties
Smart City: AI Applicability
Smart City and AI: Premises Security
Smart City: Video Surveillance Datasets
CONCLUSION
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGMENTS
REFERENCES
Intelligent IoT Enabled Lighting System
Dankan G. Veeranna1,*, Ramesha Muniyappa2, Sridhara S. Boraiah3, Devananda S. Narayanappa4 and Manoj K. S. Boraiah5
INTRODUCTION
EXISTING LIGHTING STANDARDS
GOALS OF THE IOT LIGHTENING STANDARD
IOL ARCHITECTURE
SENSORS FOR SMART LIGHTING PLATFORMS
SECURITY VIEW
STANDARDIZED COMMUNICATION INTERFACES FOR SMART LIGHTING
IMPACTS OF SMART LIGHTING SYSTEMS ON POWER CONSUMPTION
Indoor Lighting
Outdoor Lighting
OPEN ISSUES AND FUTURE RESEARCH
CONCLUSION
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENTS
REFERENCES
Traffic Sign Detection for Smart Public Transport Vehicles: Cascading Convolutional Autoencoder With Convolutional Neural Network
Riadh Ayachi1,*, Mouna Afif1, Yahia Said1,2 and Abdessalem B. Abdelali1
INTRODUCTION
RELATED WORKS
PROPOSED APPROACH
Traffic Signs Detection Dataset
Traffic Signs Detection Using a Cascaded Method
EXPERIMENTS AND RESULTS
Experimental Environment and Training
Evaluation Metrics and Testing
Comparative Study
Ablation Study
DISCUSSION
CONCLUSION
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENTS
REFERENCES
IoT Enabled Smart Village for Sustainable Development
Dankan G. Veeranna1,*, Sridhara S. Boraiah2, Ramesha Muniyappa3, Manoj K. S. Boraiah4 and Devananda S. Narayanappa5
INTRODUCTION
NEED FOR SMART VILLAGE
Collecting and Sending the Information
Receiving and Acting
COMPONENTS OF IOT
Sensor
Cloud
Analytics
User Interface
CHARACTERISTICS OF IOT
Intelligence
Connectivity
Expressing
Sensing
Energy
Security
APPLICATIONS OF IOT
Scope
IoT Security
Audience for Learning
THE IDEA OF A SMART VILLAGE
Smart Buildings
Smart Weather and Irrigation
Smart Farming
Smart Dairy
Smart Healthcare
Smart Surveillance System
Smart Education
IMPORTANCE OF IOT IN THE FUTURE MARKET
Career Growth
EXISTING SYSTEM
Ration Management
Milk Dairy Management
Notification
Labor Management
Tax Payment
PROPOSED SYSTEM
Ration Management
Milk Dairy Management
Notification
Labor Management
Tax Payment
ADVANTAGES
LIMITATION
FUTURE SCOPES
CONCLUSION
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENTS
REFERENCES
Smart Villages-Scope for IoT and Cloud Applications
P Lalitha S. Kumari1,*, Pasupuleti Sailaja1, Kommera K. Keerthana2 and Rasineni M. Mohana3
INTRODUCTION
TECHNOLOGIES FOR IOT
IoT Architecture
Sensors/Devices Details
Configuration of Data
Coding Possibilities With Own Examples
Example of the Sensors
IoT AND CLOUD
IoT Services on Cloud
Web Services on Cloud
Workflow in IoT
Internet of Things and its layers
IoT Data Storage in Cloud
Secure Data Storage
Cloud Interfaces for IoT
Cloud Tools for IOT
APPLICATIONS OF IOT IN RURAL AREAS
Using Smart Sensor Technologies to Monitor Air Quality in Play Areas to PreventAsthmaattacks in Kinds
Smartphone Detection System to Know the Crowd behavior in Markets
Environmental Monitoring at Athens Airport by Using IoT Platform
Fish Farming by Controlling Water Tanks in Vietnam
USE CASES FOR PROPOSED APPLICATION IN IOT
Case Study 1
System Architecture
Hardware and Software Specification:
System Architecture:
Hardware Requirement:
Software Requirement:
Case Study 3
System Architecture:
Hardware Requirement:
Software Requirement:
Case Study 4
System Architecture:
Hardware Requirement:
Software Requirement:
Case Study 5
System Architecture:
Hardware Requirement:
Software Requirement:
CONCLUSION
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENTS
REFERENCES
Humanoid Robots for Rural Education System
Shenbagaraj Ramachandran1,*, SaileshIyer 1 and Kamaljit I. Lakhtaria2
INTRODUCTION
RELATED WORK
HUMANOID ROBOTS AND THEIR ROLE IN LEARNING
SUGGESTED IMPLEMENTATION METHODOLOGY USING A DEEP LEARNING APPROACH
EDUCATIONAL ROBOTS FOR COLLABORATIVE LEARNING THROUGH THE INTERNET OF THINGS (IOT)
CONCLUDING REMARKS
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENTS
REFERENCES
Artificial Intelligence: A New Hope in Agriculture
Giddaluru Somasekhar1,*, Kotagiri Srujanraju1, Manjaiah D. Huchaiah2 and Nuthanakanti Bhaskar1
INTRODUCTION
BACKGROUND
NEW TECHNOLOGY TRENDS
Use of Robotics
Implementation of Computer Vision and Deep Learning Algorithms
Predictive Analytics
Precision Agriculture
Effective Usage of Drones
Self-driving Tractors
USE OF ARTIFICIAL NEURAL NETWORKS
Seasonal Forecasting
CASE STUDIES
RESEARCH SCOPE
CONCLUDING REMARKS
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENT
REFERENCES
Digital Farming a Crucial Enabler for Sustainable Indian Agriculture
Elamurugan Balasundaram1,*, Anandavel Vadivel2 and Aranganathan Posarajan2
INTRODUCTION
A PRIMER ON DIGITAL FARMING
ADVANTAGES OF DIGITAL FARMING
TECHNOLOGY INITIATIVES TO DIGITAL FARMING
INFRASTRUCTURE FOR SPATIAL DATA
Artificial Intelligence
Direct Benefit Transfers
Digital Cash
Robots
SUGGESTIONS TO ADOPT DIGITAL FARMING IN INDIA
CONCLUDING REMARKS
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENTS
REFERENCES
Smart Farming Solution for Crop Disease Prediction and Protection
Poonam Chakravarty1,*, Jigar Pandya1, Yagnesh Rathod1 and Mohan Raj1
INTRODUCTION
AI and IoT in Diseases Prediction for Crop Protection
PREDICTING AND PROTECTING WHEAT CROP DISEASES USING ARTIFICIAL INTELLIGENCE
Preparation of Dataset for Machine Learning
Predicting
Diseases Classification and Data Set Preparation
PHASES OF WHEAT IMAGE PROCESSING
Disease Detection Algorithm
IMPROVED DCNN FOR DISEASES DETECTION OF MAIZE LEAF – CASE STUDIES
ALGORITHMS FOR WHEAT CROP DISEASE: INTRODUCTION AND COMPARISON
Deep Convolutional Neural Network (DCNN)
Visual Geometry Group from Oxford (VGG16)
ResNet50
Advantages:
ALGORITHM ACCURACY COMPARISON
LEAF DISEASES IDENTIFICATION BY DCNN FOR TOMATO CROP – CASE STUDY
CONCLUSION
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENTS
REFERENCES
Subject Index
Back Cover
