Artificial Intelligence in Information and Communication Technologies, Healthcare and Education: A Roadmap Ahead

Cover
Half Title
Title Page
Copyright Page
Table of Contents
Contributors
Preface
Section I Convergence of AI, IoT, and Communication Technologies for Futuristic Innovations
1 Convergence of Blockchain Technology and Artificial Intelligence
1.1 Introduction
1.1.1 Blockchain Technology
1.1.2 Artificial Intelligence
1.2 Blockchain Applications Using AI
1.2.1 Data Protection
1.2.2 Resource Optimization
1.2.3 Data Monetization
1.2.4 Improved AI User Experience
1.2.5 Cloud Computing
1.3 Challenges
1.4 Conclusion
References
2 Low-Cost Single-Phase Smart Energy Meter Using GSM Module
2.1 Introduction
2.2 Gap Analysis
2.3 Design of Low-Cost Single-Phase Smart Energy Meter Using GSM Module
2.4 Regulated Power Supply
2.4.1 Regulated Power Supply
2.4.2 Additional Regulated Power Supply
2.4.3 IC L7805
(i) Secondary Transformer
(ii) Bridge Rectifier
(iii) Filtering Capacitors
2.4.4 Energy Metering Unit (IC ADE7757)
2.4.5 IC MCT2E
2.4.6 Microcontroller Unit
2.4.7 Memory Unit (IC AT2402)
2.4.8 LCD Display
2.4.9 Communication Unit (GSM Module)
2.5 Advantages
2.6 Conclusion
References
3 Yoga Posture Detection Using Machine Learning
3.1 Introduction
3.2 Objective
3.3 Literature Survey
3.4 Data Collection
3.5 Proposed System
3.6 Results and Discussion
3.7 Conclusion and Future Scope
References
4 Smart Health Prediction System Using IoT
4.1 Introduction
4.2 Literature Survey
4.3 Implementation Details
4.3.1 Deployment and Data Generation
4.3.2 Data Preprocessing
4.3.3 K-Means Clustering
4.3.3.1 Information Gain Estimation
4.3.4 ANN
4.3.5 Rule-Based Classification
4.4 Results and Discussion
4.5 Conclusion
References
5 Real-Time CNN-Based Face Mask Detection System
5.1 Introduction
5.2 Literature Survey
5.3 Module-Wise Implementation
5.3.1 Dataset Collection
5.3.2 Dataset Preprocessing
5.3.3 Convolutional Neural Network
5.3.4 MobileNetV2 Architecture
5.3.5 ResNet50
5.4 Results and Analysis
5.5 Conclusion and Future Scope
Acknowledgment
References
6 AI-Powered COVID Detection App Using Chest X-Ray
6.1 Introduction
6.2 Related Work
6.3 Proposed Methodology
6.4 Experimental Design
6.5 Convolutional Neural Network
6.6 Model Summary
6.7 Android Implementation and Results
6.8 Gap Analysis
6.9 Conclusion and Future Work
References
Section II Advances in Sensor and Chip Design, Controls, Communication, and Signal Processing
7 Software-Defined Networking: Research Challenges
7.1 Introduction
7.2 Architecture of SDN
7.3 Benefits of SDN
7.4 SDN Applications
7.4.1 Software-Defined Mobile Network
7.4.2 Software-Defined Wide Area Network
7.4.3 Software-Defined Local Area Network
7.4.4 Security Using the SDN Paradigm
7.4.5 Research Challenges
7.5 Quality Parameters of Software-Defined Networking
7.5.1 Quality of Service and Traffic Engineering
7.5.2 Wireless Sensor Networking
7.6 Proposed Methodology
7.6.1 Mininet
7.6.1.1 ‘3’ Hosts and a Switch Network Design
7.6.2 Miniedit
7.7 Conclusion and Future Work
References
8 Channel Allocation Techniques for Deadline-Driven Edge Computing Framework
8.1 Introduction
8.2 Motivation
8.2.1 Effect of Unreliable Wireless Communication Links: Unreliable Case
8.2.2 Effects of Path Assignment Order
8.2.3 Impact of Retransmissions
8.3 Performance Evaluation and Analysis
8.3.1 Simulation Evaluation
8.3.2 Performance Evaluation With Testbed
8.4 Methodology
8.4.1 Overview
8.4.2 Measurement of Data On Edge Servers
8.4.3 Assignment of Channels On the Basis of Paths
8.4.4 Allocation of Scheme for Retransmission
8.4.5 Discussion On the Additional Overhead of Retransmission
8.4.6 Distributed ECA
8.5 Conclusion
References
9 Optimal Cluster Head Selection in Wireless Sensor Network Via Improved Moth Search Algorithm
9.1 Introduction
9.2 Literature Review
9.2.1 Related Works
9.3 Proposed CH Selection Model With MMSA-Based Defined Multi-Objectives
9.3.1 Simulation Environment
9.4 Defined Multi-Objectives-Based CH Selection
9.4.1 Overall Objective Function
9.4.2 Fitness Function in Terms of Energy
9.4.3 Fitness Function in Terms of Distance
9.4.4 Fitness Function in Terms of Delay
9.4.5 Fitness Function in Terms of QoS
9.5 MMSA Model and Its Solution
9.5.1 Solution Encoding
9.5.2 MMSA Model
9.6 Results and Discussion
9.6.1 Simulation Procedure
9.6.2 Analysis On Count of Alive Nodes
9.6.3 Analysis On Convergence
9.6.4 Analysis On Network Lifetime
9.6.5 Analysis On Normalized Network Energy
9.6.6 Statistical Analysis On Count of ANs and Normalized Network Energy
9.7 Conclusion
References
10 Camera Calibration Using Robust Intrinsic and Extrinsic Parameters
10.1 Introduction
10.2 Related Work
10.3 Methodology
10.3.1 Projection of a Camera Model
10.3.2 Parameters
10.3.3 Methodology Used in Calibration
10.4 Conclusion
References
11 Audio-Based Recognition of Bird Species Using Deep Learning
11.1 Introduction
11.2 Related Work
11.3 Methodology
11.3.1 Data Collection
11.3.2 Data Pre-Processing
11.3.3 Spectrograms
11.3.4 Mel Frequency Cepstral Coefficient
11.3.5 Convolution Neural Network
11.3.6 Model Architecture
11.4 Results and Discussion
11.4.1 Spectrogram Model
11.4.2 MFCC Model
11.5 Conclusion and Future Work
References
Section III Data Science and Analysis for Intelligence and Enterprise
12 Development of a Mathematical Model for Milk Evaporation Process
12.1 Introduction
12.2 Literature Review
12.3 Gaps in Existing Research
12.4 Milk Evaporation Process
12.4.1 Falling Film Heat Exchanger
12.4.2 Vapor Separator
12.4.3 Condenser
12.5 Technique for Transfer Function Model
12.5.1 Development of Relationship Between Input and Output Variables
12.5.2 Relationship Between Bx, FP, and Fm
12.5.3 Relationship Among Milk Concentration (Bx), FP, and Fs
12.5.4 Relationship of Time Constant (.Bxfs) and Mmi
12.5.5 Relationship Between Pressure (P) and Fa
12.6 Conclusion
References
13 Hate Speech Detection and Analysis Using Machine Learning
13.1 Introduction
13.2 Related Works
13.3 Methodology
13.3.1 Data Acquisition
13.3.2 Data Preprocessing
13.3.3 Feature Extraction
13.3.4 Data Splitting
13.3.5 Machine Learning Models
13.3.6 Evaluation Metrics
13.4 Experimental Settings
13.5 Results
13.6 Discussion
13.6.1 Feature Extraction
13.6.2 Classification Models
13.6.3 Class-Wise Accomplishment
13.7 Conclusion
References
14 Bibliometric Survey On Personality Detection for Resume Filtration Using Artificial Intelligence
14.1 Introduction
14.2 Literature Review
14.3 Data Collection
14.3.1 Significant Keywords
14.3.2 Initial Search Results
14.4 Analysis of Bibliometric Data
14.4.1 Statistical Methods
14.4.1.1 Statistics On the Keyword
14.4.1.2 Field of Study
14.4.1.3 Statistics On Affiliation
14.4.1.4 Most Copious Author Statistics
14.4.1.5 Statistics From the Sources
14.4.2 Analytical Techniques
14.4.2.1 Analysis of Geographical Regions
14.4.2.2 Citation Analysis
14.4.2.3 Network Analysis
14.5 Research Ramifications of Study
14.6 Implementation
14.7 Conclusion
References
15 A Brief Bibliometric Survey of Alphabets Recognition Using Hand Gesture in Sign Language
15.1 Introduction
15.1.1 Motivation to Conduct Bibliometric Analysis
15.1.2 Contribution of the Work
15.2 Review of Literature
15.3 Primary Data Collection
15.3.1 Methodology
15.3.2 Significant Keywords
15.3.3 Findings From the Primary Study
15.4 Bibliometric Analysis
15.4.1 Statistical Techniques
15.4.1.1 Keyword Statistics
15.4.1.2 Subject Domain
15.4.1.3 Affiliation Statistics
15.4.1.4 Extremely Productive Author’s Statistics
15.4.1.5 Source Statistics
15.4.1.6 Funding Statistics
15.4.2 Analytical Techniques
15.4.2.1 Keyword Analysis
15.4.2.2 Geographical Region Analysis
15.4.2.3 Citation Analysis
15.5 Research Implications of the Study
15.6 Constraints of the Research
15.7 Conclusion
References
16 Oxyportal: Oxygen Demand Forecasting With Data Analytics
16.1 Introduction
16.2 Methodology
16.2.1 Data Collection
16.2.2 SIR Model (Susceptible, Infectious, and Recovered)
16.2.3 Polynomial Regression Machine Learning Model
16.3 Predicting Oxygen Demand
16.3.1 Designing of Web Portal/Website
16.4 Results and Discussion
16.5 Conclusion
References
17 Review On Text-To-Speech Synthesis System for Hindi Language
17.1 Introduction
17.2 Literature Review
17.3 Proposed Methodology
17.3.1 Hindi Speech Corpus
17.3.2 Text Preprocessing
17.3.3 Parts of Speech Tagging
17.3.4 Phonetic Lexicon
17.3.5 HMM-Based Speech Synthesiser
17.4 Techniques for TTS
17.4.1 Formant Synthesis
17.4.2 Parametric TTS
17.4.3 Hybrid (Deep Learning) Approaches
17.5 Toolkit for TTS
17.5.1 Festival
17.5.2 MaryTTS
17.5.3 ESPNET-TTS
17.6 Conclusion
References
18 Weibull Distribution Parameters Estimation Using Computer Software
18.1 Introduction
18.2 Literature Review
18.3 Research Gap
18.4 Methods and Materials
18.4.1 Weibull Distribution Estimation Using Least Square Method
18.5 Case Study
18.6 Conclusions
References
19 Navigation Systems of Indoor Automated Guided Vehicle
19.1 Introduction: Navigation Systems of Indoor Automated Guided Vehicle
19.2 An Overview of Different AGV Navigation Systems
19.2.1 Sensor Fusion
19.2.2 Vision Sensors
19.2.3 Passive RFID
19.2.4 Probabilistic Tracking of People
19.2.5 Wireless Sensor Networks
19.2.6 Using DWA
19.3 Design of AGV System
19.4 Operation Flow Chart
19.5 Experimentation and Simulation
19.6 Experimentation and Simulation
References
Index