
Intelligent Systems for IoE Based Smart Cities
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Intelligent Systems for IoE Based Smart Cities provides simplified information about complexities of cyber physical systems, the Internet of Everything (IoE) and smart city infrastructure. It presents 11 edited chapters that reveal how intelligent systems and IoE are driving the evolution of smart cities, making them more efficient, interconnected, and responsive to the needs of citizens.
The book content represents comprehensive exploration of the transformative potential and challenges of IoE-based smart cities, fueled by Artificial Intelligence (AI) and Machine Learning (ML) innovations.
Key Topics:
Physical layer design considerations that underpin smart city infrastructure
Enabling technologies for intelligent systems within the context of smart computing environments
Smart sensors and actuators, their applications, challenges, and future trends in IoE-based smart cities
Applications, enabling technologies, challenges, and future trends of IoE for smart cities.
The integration of Artificial Intelligence, Natural Language Processing, and smart cities for enhanced urban experiences
machine learning-based intrusion detection techniques for countering attacks on the Internet of Vehicles
Smartphone-based indoor positioning applications using trilateration and the role of sensors in IoT ecosystems
IoT, blockchain, and cloud-based technology for secure frameworks and data analytics
Blockchain and smart contracts in shaping the future of smart cities.
This is a timely reference for researchers, professionals, and students interested in the convergence
IoT, intelligent systems and urban studies into smart city planning and design.
Audience
Researchers, professionals, and students interested in the convergence of IoT, intelligent systems and urban studies into smart city planning and design.
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Content
- Cover
- Title
- Copyright
- End User License Agreement
- Contents
- Foreword
- Preface
- List of Contributors
- On Physical Layer Design for Smart Cities
- Jayanta Kumar Ray1,*, Rabindranath Bera1, Sanjib Sil2 and Quazi Mohmmad Alfred3
- INTRODUCTION
- TECHNOLOGY EVOLUTION TOWARDS SMART CITIES
- Smart Mobility
- Smart Environment
- Smart Building and Smart Home
- Physical Level
- Virtual Level
- Smart Administration
- Smart Education
- Smart Health
- IMPORTANCE OF INTERNET OF THINGS (IOT) IN SMART CITIES
- PHYSICAL LAYER ASPECTS IN SMART CITIES
- Wireless Body Area Network (WBAN)
- Wireless Sensor Network (WSN)
- Machine Type Communication (MTC)
- Satellite Communication
- LTE-Advanced/5G Networks
- REALIZATION OF SMART CITIES
- Realization by Industries
- Access
- Building Security
- Smart Lock System
- Identification
- National ID
- Electronic Passport
- Electronic Health ID
- Electronic Vehicle License (eVL)
- Fleet Management
- Transportation
- V2X Communications
- Car and Bike Sharing
- Automatic Vehicle Identification
- Inventory and Supply Management
- Broadband Modem and Residential Gateway
- Realization by Authors
- THE FUTURE TOUR WITH MORE ELECTRONIC SERVICES
- TOUR DESIGN AND DEVELOPED BY ECE DEPT., SMIT
- TOUR IMPLEMENTATION
- CONCLUSION
- NOTES
- REFERENCES
- Enabling Technologies for Intelligent Systems in Smart Computing Environment
- Anuj Kumar Singh1,* and Ankit Garg2
- INTRODUCTION
- Intelligent and Smart Environment
- Basic Principles of Intelligent Environment
- Intelligent Systems for Smart Environment
- ANI Systems
- AGI Systems
- ASI Systems
- ENABLING TECHNOLOGIES FOR AN INTELLIGENT SMART ENVIRONMENT
- Big Data Analytics
- Edge Analytics
- Semantic Analytics
- Security Analytics
- Predictive Analytics
- Deep Learning
- Natural Language Processing
- Artificial Neural Network
- Human-Computer Interaction
- Computer Vision
- Robotics and Automation
- Edge Intelligence
- Explainable Artificial Intelligence
- CONCLUSION
- REFERENCES
- Smart Sensors and Actuators for Internet of Everything Based Smart Cities: Application, Challenges, Opportunities, and Future Trends
- Tarana Singh1,*, Arun Solanki1, Sanjay Kumar Sharma1 and Hanaa Hachimi2
- INTRODUCTION
- ROLE OF SENSORS AND ACTUATORS IN SMART CITIES
- APPLICATIONS OF SENSING DEVICES IN IOE ENABLED SMART CITY
- CHALLENGES IN THE IMPLEMENTATION OF IOE ENABLED SMART CITIES
- OPPORTUNITIES AND FUTURE TRENDS IN THE DOMAIN OF IOT
- CONCLUSION
- REFERENCES
- IoE in Smart Cities: Applications, Enabling Technologies, Challenges, and Future Trends
- Ankit Garg1,*, Amit Wadha2 and Jafar A. Alzubi3
- INTRODUCTION
- LITERATURE REVIEW
- APPLICATIONS OF IOE IN SMART CITIES
- Smart Transportation
- Smart Infrastructure
- Smart Energy
- Smart City Services
- Smart Home
- Smart Healthcare
- Smart Industry
- Smart Agriculture
- EXISTING TECHNOLOGIES IN SMART CITIES
- Internet of Everything (IoE)
- Big Data
- Cyber-Physical System
- Information Communication and Technology (ICT)
- Network Technologies
- Sensing Technologies
- Security and Privacy
- Artificial Intelligence and Machine Learning
- Blockchain Technology
- Cloud Computing
- 5G Technology
- Geospatial Technology
- IOE CHALLENGES FOR SMART CITIES
- Security and Privacy
- Smart Sensors
- Big Data Analytics
- Socio-Economic
- Environmental
- CONCLUSION AND FUTURE SCOPE
- REFERENCES
- Smart Cities Emergence with Artificial Intelligence- Natural Language Processing
- Sandeep Kumar1,*, Arun Solanki3 and Anand Paul2
- INTRODUCTION
- LITERATURE REVIEW
- The Smart Things Network
- Gateway
- Data Lake
- Warehouse for Big Data
- SMART CITY CONCEPTS
- Smart City Concept
- Smart Infrastructure
- Smart Health
- Traffic Congestion
- Smart Energy
- Air Quality Management
- The Internet of Things (IoT) as a Smart City Enabler
- NLP TASKS USED IN SMART CITY
- Entity Name Recognition
- News Categorization
- Customer Supports
- Efficient Search Engine
- Sentiment Analysis
- Text Summarization
- Topic Modeling
- Aspects Mining
- Natural Language Generation (NLG)
- Tokenization
- Stemming and Lemmatization
- Bag of Word
- Word Embedding
- ADVANCED TECHNIQUES FOR NLP AND SMART CITIES APPLICATIONS
- Recurrent Neural Network (RNN)
- Long Short Term Memory (LSTM)
- Sigmoid Function
- Tanh Function
- Forget Gate
- Input Gate
- Cell State
- Output Gate
- Sequence to Sequence (Seq2Seq) Modelling
- Encoder-Decoder Model
- Encoder
- Context Vector
- Decoder
- Attention Mechanism
- Demonstration of Attention Mechanism
- CONCLUSION
- REFERENCES
- Machine Learning-based Intrusion Detection for Position Falsification Attack in the Internet of Vehicles
- Olfa Masmoudi1, Hanen Idoudi1,* and Mohamed Mosbah2
- INTRODUCTION
- VANET COMMUNICATION AND SECURITY
- VANET Communication Standards
- IEEE 802.11p
- IEEE WAVE
- ETSI ITS-G5
- VANET Security Attacks
- VANET Countermeasures
- Public Key Infrastructure
- Cryptographic Mechanisms
- Key Management Systems
- Anonymity, Unlinkability and Traceability Techniques
- Security Protocols
- Intrusion Detection Systems
- PROPOSED MACHINE LEARNING FRAMEWORK FOR POSITION ATTACK DETECTION
- Dataset Description
- Data Preprocessing
- Dataset Preparation
- Dimensionality Reduction
- Data Standardization
- PERFORMANCE EVALUATION
- Metrics
- Hyperparameters Optimization
- Comparison between ML Models
- CONCLUSION
- REFERENCES
- Implementation of Smartphone-based Indoor Positioning Application Using Trilateration
- Saptarshi Paul1,*
- INTRODUCTION
- Problem Statement and Technical Challenges
- Similar Work
- POSITIONING TECHNOLOGIES
- Positioning Technologies in Common Use
- Global Positioning System
- Assisted Global Positioning System
- Systems Based on Wireless Fidelity
- Other Systems
- AIM OF THE WORK
- TECHNIQUES FOR INDOOR NAVIGATION
- Fingerprinting
- Off-Line Acquisition Method
- On-Line Positioning Method
- METHODOLOGY USED
- DEVELOPMENT OF THE APPLICATION
- Software used for the Application
- Development Kit, Tools, and Platform
- Platform used (Android)
- MySQL Database
- Server-side Development
- Algorithm used
- Implementation Algorithm
- Algorithm:
- Screenshots of Server Side and Client Side Interface
- Client Side applications
- DISCUSSION OF RESULTS
- CONCLUSION AND FUTURE SCOPE
- ACKNOWLEDGEMENTS
- REFERENCES
- How the 'Things' Speak: The Usage and Applications of Sensors in IoT
- Amartya Chakraborty1,*
- INTRODUCTION
- SENSOR PLACEMENT IN IOT-BASED SYSTEMS
- SOME POPULAR SENSORS IN IOT-BASED APPLICATIONS
- Video Camera
- Inertial Measurement Unit (IMU) Sensor
- Ultrasonic Sensor
- Electrocardiogram (ECG) Sensor
- Passive Infra-Red (PIR) Sensor
- Electromyogram (EMG) Sensor
- Sensors used for Environment Monitoring
- Sensors used in Smart Agriculture
- Smart-phones
- CASE STUDY: USE OF SMART-PHONE AS SENSING DEVICE IN IOT APPLICATION
- IOT ENABLED APPLICATION AREAS
- BASIC METRICS FOR SENSOR-DATA-BASED SYSTEM PERFORMANCE EVALUATION
- SENSORS AND THE FUTURE OF IOT
- CHALLENGES IN SENSOR-BASED IOT-ENABLED SYSTEMS
- CONCLUSION
- REFERENCES
- IoT and Cloud-based Data Analytics for Real Life Applications and Challenges
- Sartaj Ahmad1,*
- INTRODUCTION
- IoT (Internet of Things)
- Big Data
- Cloud
- DATA ANALYTICS AND ITS TECHNIQUES
- Data Collection
- Transformation
- Loading
- Modeling Techniques
- Correlation
- Chi2 Test
- Regression
- Association Technique
- Classification
- Decision Tree
- Neural Network
- Clustering
- CASE STUDY
- APPLICATIONS OF IOT, CLOUD, AND DATA ANALYTICS
- Healthcare
- Smart City
- Education
- Agriculture
- Transportation and Logistics
- Social Networking
- CONCLUSION
- REFERENCES
- Cloud-Based Secure Framework for Service Authentication and Access Control in Smart Cities Architecture Employing IOE
- Amit Wadha1,*, Neerja Arora2 and Ankit Garg3
- INTRODUCTION
- UNIFICATION OF CLOUD COMPUTING AND IOE
- Cloud Services - Supporting IOT and IOE
- Rapid Elasticity
- Scalability
- Broad Network Access
- Pay Per Use Model - Cost Effective
- Shared Storage Pool and Remote Services
- Differentiating IOT and IOE
- Defining IoT
- Working of IOT System
- Components Enabling IOT
- Defining IOE and differentiating from IOT
- Unification of Cloud and IOE
- Justification for Unification of Cloud with IOE
- Communication Oriented
- Storage Oriented
- Computation Power Oriented
- Benefits to Cloud by its Convergence with IOE
- CHALLENGES FOR SMART CITIES EMPLOYING IOE
- Defining Smart Cities
- Economy
- Standard of Living
- Education
- Environment
- Security
- Mobility/Transportation
- Characteristics of Smart Cities
- Stakeholders
- Funds and Finances
- Experimentation
- Smart City - Challenges
- SECURITY ATTACKS AND IMPLICATIONS IN SMART CITIES ARCHITECTURE
- Security Perspective
- Security Challenges and Solutions in Smart City Environment
- Security Risks and Implications in Smart Cities
- Smart Cities Architecture
- FRAMEWORK FOR SECURE ACCESS CONTROL AND SERVICE AUTHENTICATION IN SMART CITIES
- CONCLUSION AND FUTURE DIMENSIONS
- REFERENCES
- Blockchain Technologies and Smart Contracts in Smart Cities
- Aditya Gupta1,*, Parth Malkani1, Chitra Krishnan2,*, Neelesh Thallam1 and Aman Verma1
- INTRODUCTION
- Smart Contracts
- Blockchain
- SMART CONTRACTS AND BLOCKCHAIN
- SMART CITY CONCEPT
- SHARING ECONOMY IN SMART CITIES
- How is it Driven?
- Arithmetic Proof of Data
- Advanced Signature
- How is the Blockchain Tamper-proof?
- SMART CONTRACT PROGRAMMING LANGUAGES
- Vyper
- Pact
- LIQUIDITY
- DISCUSSION
- THE FUTURE GROWTH POTENTIAL OF BLOCKCHAIN-BASED SMART CONTRACTS
- Smart Contract in Financial Services
- Smart Contracts in Real Estate
- Smart Contract in Healthcare
- Smart Contract in Voting
- Smart Contract in Insurance Industry
- THREATS AND LIMITATIONS OF BLOCKCHAIN-POWERED SMART CONTRACTS
- CONCLUSION AND FUTURE SCOPE
- REFERENCES
- Subject Index
- Back Cover
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The file format ePUB works well for novels and non-fiction books – i.e., 'flowing' text without complex layout. On an e-reader or smartphone, line and page breaks automatically adjust to fit the small displays.
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