Artificial Intelligence for Smart Cities and Villages : Advanced Technologies Development and Challenges / Megha Bhushan [and four others].

Format:

Book

Author/Creator:

Bhushan, Megha, author.

Language:

English

Subjects (All):

Artificial intelligence.

Smart cities.

Physical Description:

1 online resource (331 pages)

Edition:

First edition.

Place of Publication:

Singapore : Bentham Science Publishers Ltd., [2022]

Summary:

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.

Contents:

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

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

ACKNOWLEDGEMENTS

Humanoid Robot for Aadhaar Service in Rural Development

Appala S. Muttipati1,*, Sangeeta Viswanadham2 and Bhramaji Godi3

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

Adaptation of Blockchain in Internet of Medical Things for Remote Patient Monitoring

Cinthia J. Godly1,*, Venki Balasubramanian1, Ram Srinivasan2 and Bevish Y. Jinila3

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

Analysing Plant Leaf for Detecting Disease by using Convolutional Neural Network

Ashutosh A. Abhangi1,* and Sailesh Iyer1

ARTIFICIAL INTELLIGENCE

NEURAL NETWORK

CONVOLUTION NEURAL NETWORK

Process of CNN Classification

Types of Layers

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

Indoor Object Classification System using Neural Networks for Smart Environments

Mouna Afif1,*, Riadh Ayachi1 and Mohamed Atri2

STATE OF THE ART

PROPOSED APPROACH FOR INDOOR OBJECTS RECOGNITION

EXPERIMENTS AND RESULTS

Smart Transportation Systems: Recent Developments, Current Challenges and Opportunities

Aman Kumar1,*, Nishant Raj Kapoor1, Harish C. Arora1 and Ashok Kumar1

Importance of Transportation

Background of ITS

Definitions of ITS

INTELLIGENT TRANSPORTATION SYSTEM

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

Artificial Intelligence Enabled Smart Cities for Premises Security

Srujan K. Raju1,*, Vinayak G. Jagtap1 and Parag A. Kulkarni1

SMART CITY

Smart City: Difficulties

Smart City: AI Applicability

Smart City and AI: Premises Security

Smart City: Video Surveillance Datasets

Intelligent IoT Enabled Lighting System

Dankan G. Veeranna1,*, Ramesha Muniyappa2, Sridhara S. Boraiah3, Devananda S. Narayanappa4 and Manoj K. S. Boraiah5

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

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

RELATED WORKS

PROPOSED APPROACH

Traffic Signs Detection Dataset

Traffic Signs Detection Using a Cascaded Method

Experimental Environment and Training

Evaluation Metrics and Testing

Comparative Study

Ablation Study

DISCUSSION

CONCLUSION.

CONSENT FOR PUBLICATION

IoT Enabled Smart Village for Sustainable Development

Dankan G. Veeranna1,*, Sridhara S. Boraiah2, Ramesha Muniyappa3, Manoj K. S. Boraiah4 and Devananda S. Narayanappa5

NEED FOR SMART VILLAGE

Collecting and Sending the Information

Receiving and Acting

COMPONENTS OF IOT

Sensor

Cloud

Analytics

User Interface

CHARACTERISTICS OF IOT

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

ADVANTAGES

LIMITATION

FUTURE SCOPES

Smart Villages-Scope for IoT and Cloud Applications

P Lalitha S. Kumari1,*, Pasupuleti Sailaja1, Kommera K. Keerthana2 and Rasineni M. Mohana3

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.

Notes:

Includes bibliographical references.

Description based on publisher supplied metadata and other sources.

Description based on print version record.

ISBN:

9789815049251

9815049259

OCLC:

1344538435