book

Advances in SIoT (Social Internet of Things)

by Gururaj H L, Pramod H B, Gowtham M

April 2023

Intermediate to advanced

325 pages

9h 51m

English

CRC Press

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1.1 Introduction1.2 Overview on IoT1.3 What Is Smart Lighting?1.4 The Connection between Smart Lighting and IoT1.5 Why IoL?1.5.1 Actual Lighting Specification1.5.2 Objective of the Internet of Lights Specification1.6 Smart Lighting and IoT1.7 Scope of IoL1.8 Smart Lighting System Implementation in Real Time1.9 Implementation Standards1.10 Lighting Standard Adoption Criteria1.11 Capabilities of Smart Lighting Systems1.12 Applications of IoL1.13 ConclusionReferences
2.1 Introduction2.2 Tools and Technology Overview2.3 System Architecture2.3.1 Arduino Uno Board2.3.2 DC (Direct Current) Motor2.3.3 Module of Bluetooth HC-052.4 Implementation of the System2.4.1 Lawn_Main_Activity2.4.2 Login Activity2.4.3 Home Activity2.4.4 Microcontroller Program Snippet2.5 ConclusionReferences
3.1 Introduction3.1.1 IoT in Medical Application3.2 Challenges in Medical IoT3.2.1 Delay in Data Transmission3.2.2 Energy Consumption during Data Transmission3.2.3 Throughput3.3 Intelligent Optimized Delay Algorithm (IODA)3.3.1 Working of IODA3.3.2 Traffic Control Technique in IODA3.4 Results3.5 ConclusionReferences
4.1 Introduction4.1.1 Trust Management System (TMS)4.1.2 SIoT Relationships Parental Object Relationship (POR)4.1.3 SIoT Architecture – Relationship Management4.1.4 Trust Management Model4.1.5 SIoT Paradigms4.1.6 Types of Attacks and Its Roles with Management in Trust SIoT4.1.7 Emerging IoT Domains, Existing State-of-Art and Unresolved Issues in Research4.2 ConclusionReferences
5.1 Introduction5.2 SIoT Applications5.3 SIoT Architecture5.3.1 Server in SIoT5.3.2 Gateway and Objects5.4 Architecture of IoT and Its Threats5.4.1 Perception Layer5.4.2 Transport Layer5.4.3 Application Layer5.5 SIoT Security5.5.1 Challenges5.6 Privacy and Confidentiality in SIoT5.7 Trust Management in SIoT5.7.1 Trust Attacks for Security and Privacy5.8 ConclusionReferences
6.1 IoT in Healthcare6.1.1 SIoT in Healthcare6.2 Related Works on SIoT in Healthcare6.3 Suggested Communications and Models for Social IoT6.3.1 Device-to-Device Connectivity6.3.2 Device to the Internet (Cloud)6.3.3 Device to Gateway (Hub)6.3.4 Cloud-Based Data-Sharing Model6.4 Hierarchical Network Design for SIoT in Healthcare6.4.1 Types of Layers6.4.2 SIoT Relationship Models for Hierarchical Design6.5 Proposed SIoT Model for Healthcare and Medical Domains6.5.1 Five-Stage SIoT Solution Architecture for Healthcare6.5.2 Proposed SIoT Model for Healthcare Domain6.5.3 Implementation Using CISCO Packet Tracer6.5.4 IoT Devices Configuration6.5.5 Monitoring and Controlling the SIoT Model6.6 SummaryReferences
7.1 Introduction7.1.1 Social IoT: Social Networks on IoT7.1.2 Applications of D2D Communication in SIoT7.1.3 Challenges of D2D Communications in SIoT7.2 System Description of Socially Aided D2D Communication7.2.1 Peer Discovery7.2.2 Mode Selection7.2.3 Resource Management7.2.4 Relay-Assisted D2D Communications (Multi-hop)7.3 A Social D2D Architecture for People Centric IOT (PIoT)7.3.1 Motivation7.3.2 People-Centric IoT Framework7.3.3 Improvement of D2D Communication Using Social Ties7.3.4 Future SIoT Architecture Including Social D2D Communication7.4 Caching-Based Socially-Aware D2D Communication7.4.1 Three Layers of D2D Content Delivery Networks7.4.2 D2D Caching Using Hypergraph7.5 Open Research Challenges7.5.1 Heterogeneity and Data Management7.5.2 Security, Privacy, and Fault Tolerance7.5.3 Self Operation, Semantic and Context Management7.5.4 Application Development and New Business Model7.5.5 Efficient Discovery and Search Engines7.5.6 Efficient Energy ManagementReferences
8.1 Introduction8.2 Related Work8.2.1 Aim8.2.2 Open CV8.2.3 Tensor Flow8.2.4 Keras8.3 Implementation8.3.1 Methodology8.3.2 Algorithms Used8.4 Experiment Results and Analysis8.4.1 Mask Detection Result8.5 Conclusion8.6 Future EnhancementsReferences
9.1 Introduction9.2 The Social Internet of Things (SIoT)9.3 SIoT Smart Framework9.3.1 Smart Things to Social Things9.3.2 SIoT Paradigm9.4 Security and Privacy Challenges in SIoT Applications9.5 Management of Trust in the Social Internet of Things (SIoT)9.5.1 Trust Properties9.5.2 Trust-Related Attacks9.5.3 Requirements and Limits for Trust Management in SIoT9.6 Trust Evaluation Mechanism in the Social-Internet-of-Things (SIoT)9.7 ConclusionReferences
10.1 Introduction10.1.1 Most Important IoT Structure Blocks and Layers10.2 Literature Survey10.3 Secured and Efficient Swarm Based Method10.4 Results and Discussions10.5 ConclusionReferences
11.1 Introduction11.2 Related Work11.2.1 History on Autonomous Vehicle11.2.2 Benefits and Disadvantages11.3 Description of the Use Instances11.3.1 Interstate Pilot11.3.2 Full Automation Using Driver for Extended Availability11.3.3 Vehicle on Demand11.3.4 Virtual Controlling Method11.4 Structure Overview11.4.1 Raspberry Pi11.4.2 Camera11.4.3 L293D Motor Driver11.4.4 Ultrasonic Sensor11.4.5 Servo Motors11.5 Implementation11.6 Result11.7 ConclusionReferences
12.1 Introduction12.2 Related Works12.3 Methodology12.4 Results and Discussions12.5 ConclusionReferences
13.1 Introduction13.2 Literature Survey13.3 Comparative Analysis of the Search Techniques13.4 Methodology13.4.1 Extracting Information from the Vendor Specification13.4.2 Pre-processing of Extracted Information13.4.3 Keywords Extraction13.4.4 Mining of Discourse Words13.4.5 Inference Rules13.5 ConclusionReferences
14.1 Introduction14.2 Related Works14.3 System Infrastructure14.3.1 Geo-Fencing14.3.2 Sensor Module14.3.3 Voice Recording Module14.3.4 Communication Module14.4 Implementation14.5 Working14.6 ConclusionReferences
15.1 Introduction15.1.1 Depending on the Origin15.1.2 Depending on the State of Matter15.1.3 Depending on the Sources15.2 Literature Survey15.3 Prediction Results of AlgorithmsReferences
16.1 Introduction16.2 Related Work16.3 Motivation16.4 Problem Definition16.5 Methods and Techniques16.5.1 Fingertip Detection16.5.2 CRNN16.5.3 Dataset Description16.6 Proposed Work16.6.1 Pseudocode for the Proposed Model16.7 Experiment and Evaluation16.8 Performance Analysis16.9 Significance16.10 ConclusionReferences

Content preview from Advances in SIoT (Social Internet of Things)

8 Real-Time Face Mask Detection and Alert System Using IoT and Machine Learning

Manu Y M¹, Mohan Kumar K S², and Prasanna Kumar M J¹

¹Department of Computer Science and Engineering, BGS Institute of Technology, Adichunchanagiri University, B.G. Nagara, Mandya, India

²Department of Electronics and Communication Engineering, BGS Institute of Technology, Adichunchanagiri University, B.G. Nagara, Mandya, India

DOI: 10.1201/9781003282990-8

Contents

8.1 Introduction
8.2 Related Work
8.2.1 Aim
8.2.2 Open CV
8.2.3 Tensor Flow
8.2.4 Keras
8.3 Implementation
8.3.1 Methodology
8.3.2 Algorithms Used
8.3.2.1 Face mask detection
8.3.2.2 Pre-handling
8.3.2.3 Face recognition
8.3.2.4 Post-processing
8.3.2.5 Creating database for users
8.4 Experiment Results ...

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