Sustainable Computing: Transforming Industry 4.0 to Society 5.0

Preface
Acknowledgement
Contents
About the Editors
A Review on Renewable Energy Sources, Potential and Policy in India
Abbreviations
1 Introduction
2 Available Conventional Energy in India: Overview
2.1 Generation From Traditional Sources in India
2.1.1 Coal/Lignite
2.1.2 Hydro
2.1.3 Nuclear
2.1.4 Gas
3 Energy Scenario During 12th Five-Year Plan (2012–2017) [1]
4 Added Capacity Attained for the Duration of 12th Plan (Not Involved in the Targeted Capacity of 88,537 MW) [1, 3]
4.1 A Cooperative Analysis of 12th Plan with Earlier Five-Year Plans
4.2 Slipped Projects and Causes of Slippage from 12th Plan Capacity Addition Target [1]
5 Peak Demand and Energy Requisite Prediction
6 Renewable Energy Sources: Potential in India
6.1 Solar Energy
6.2 Wind Energy
6.3 Biomass Energy
6.4 Small Hydro Power (SHP)
6.5 Ocean Surface Waves and Tidal Power
6.6 Installed RES Potential in India
7 Capacity Addition from RES in 12th Plan
8 RES Policy of India
9 Recent Renewable Energy Initiatives
9.1 Solar Parks
9.2 Solar Cities
9.3 Solar Pump
10 Other Programs/Policies/Schemes
11 Future Potential of Renewable Energy in India
11.1 Renewable Energy Target by 2022
12 Projection of Renewable Energy Generation
12.1 Perspective Plan 2022
12.2 Perspective Plan for Grid-Interactive Renewable Power
12.3 Perspective Plan for Renewable Power for Urban, Industrial, and Commercial Applications
12.4 Medium Term (2032) Deployment Goals
13 Conclusion
14 Future Work
References
Analysis of Brain Signals to Forecast Motor Intentions Using Artificial Intelligence
1 Introduction
1.1 State of the Art
1.2 Our Proposal
2 Material and Methods
2.1 Database
2.2 Pre-processing
2.3 Feature Extraction
2.4 Classifiers
2.4.1 Decision Trees
2.4.2 Linear Discriminant Analysis
2.4.3 Logistic Analysis
2.4.4 Support Vector Machine
2.4.5 K-Nearest Neighbors
2.4.6 Ensemble Methods
2.4.7 Neural Networks
3 Methodology
3.1 Feature Extraction Algorithm
4 Results and Discussion
4.1 Results
4.2 Discussion
5 Conclusions
References
Automated Detection of Covid-19 Waves with Computerized Tomography Scan Using Deep Learning
1 Introduction
2 Related Studies
2.1 Molecular RT-PCR Test
2.2 RAT Tests
2.3 Serological Tests
3 ML Algorithm Focused on Diagnosis Using CT Scan Images
3.1 Multiple Instance Learning (MIL)
3.2 Why Deep Learning over Machine Learning
4 DL Algorithm Focused on Diagnosis Using CT Scan Images
4.1 Deep Neural Network (DNN)
4.2 Convolutional Neural Network
4.3 Deep Convolutional Neural Network (DCNN)
4.4 Transfer Learning Techniques in Deep Learning
5 Conclusion
References
Internet of Things (IoT) in the Agriculture Sector: Challenges and Solutions
1 What Is Advance Agriculture?
2 Why Is It Necessary to Adapt to the Advancement of Agriculture?
3 Benefits of Using IoT in Agriculture
4 Infusion of Internet of Things in Agriculture
5 Challenges Encountered in Infusion of IoT in Agriculture
References
Implementation of Women's Self-Security System Using IoT-Based Device
1 Introduction
2 Existing System
3 Proposed System
4 Methodology
5 Result and Discussion
6 Conclusion
References
Evolution of Hadoop and Big Data Trends in Smart World
1 Introduction to Big Data
2 The Three V's
3 Challenges with Big Data
4 Hadoop Architecture: HDFS and Map-Reduce
5 HDFS
5.1 Features of HDFS
5.2 Storage in HDFS
6 MapReduce
7 Hadoop Ecosystem and Components
7.1 YARN (Yet Another Resource Negotiator)
7.2 Pig
7.3 Hive
7.4 HBase
7.5 Cassandra
7.6 Sqoop and Flume
7.7 Apache Spark
8 Hadoop 3.0 Upgradation
9 Applications and Future
9.1 Predictive Policing
9.2 Unique Identity Project: From Cradle to Grave
9.3 Intelligent Transportation System
9.4 Smart Meters
References
Experimental Investigation of Eco-enzyme and Its Application for Removal of Foul Odour and Organic Impurities
1 Introduction
2 Materials and Methods
3 Results
3.1 Laboratory Results
3.1.1 Sample Collection
3.2 Field Results
3.2.1 Barapullah Drain, Delhi (16 February to 9 March 2016)
3.2.2 Drains at Pune
3.2.3 Sanjay Park, East Delhi
3.2.4 Ponds in Chennai
3.2.5 STP at Chandigarh
3.2.6 Drains of Azamgarh City
3.2.7 Garbage Dump Yard at Ghaziabad, UP
3.2.8 Two Garbage Dump Yards at Dehradun (Uttarakhand)
3.2.9 Garbage Dump Yard at Akola (Maharashtra)
4 Conclusions
References
Sign Language Recognition Using AI
1 Introduction
2 Literature Survey
3 Proposed Methodology
3.1 Implementation Model
4 Results
5 Conclusion, Limitations, and Future Scope
5.1 Conclusion
5.2 Limitations
5.3 Future Scope
References
Data Leakage Detection and Prevention Using Cloud Computing
1 Introduction
1.1 Motivation
2 Data Loss Prevention
2.1 Limitations of Cloud DLP
3 Related Work
3.1 Watermarking Technique
3.2 Fake Objects Method
3.3 Adversary Model
4 Secure Hashing Algorithm (SHA)
5 Proposed Model
5.1 Data Allocation
5.2 Fake Object Module
5.3 Optimization Module
5.4 Data Distribution Module
6 Conclusion
References
To Brace Society 5.0: Enhanced Reliability with a Cost-Effective Protocol for Underwater Wireless Sensor Network
1 Introduction
2 Literature Review
3 System Model
3.1 Transmission-Power and SNR
3.2 Signal-to-Noise Ratio and PDR
4 Proposed Model
4.1 Initial Phase
4.2 Graph Building
4.3 Transmission Phase
5 Results
5.1 Evaluation of SNR
5.2 Evaluation of BER
5.3 Evaluation of PDR
6 Conclusion
References
A Novel Algorithm for Reconfigurable Architecture for Software-Defined Radio Receiver on Baseband Processor for Demodulation
1 Introduction
2 Background
2.1 Baseband Demodulation
2.2 OFDM
2.3 Channel Equalization
2.4 Phase Offset Correction
2.5 QAM (Quadrature Amplitude Modulation) Demapping
3 Algorithm Analysis
3.1 Dataflow for Channel Selection/FFT
3.2 Signal Flow Graph for FIR/FFT
4 Architecture Design Approach
4.1 Reconfigurability
4.2 Data Path
4.3 The Communication Interface
4.4 The Processing Part
4.5 The Storage Part
4.6 The Configuration Part
4.7 Control Section
4.8 Configuration Unit
5 Algorithm Mapping
5.1 Mapping of Matched FIR Filter
5.2 Mapping of FFT
6 Synthesis and Evaluation
6.1 Synthesis Results for the SDR Receiver
6.2 Comparison of Proposed Design with Montium TP
6.3 Comparison of Different Implementations
7 Conclusions
8 Future Work
References
Methods and Application of 3D Printing in Implantable MedicalDevices
1 Introduction
2 3D Printing Manufacturing Process
2.1 Stereolithography
2.2 Laminated Object Manufacturing
2.3 Selective Laser Sintering (SLS)
2.4 Fused Deposition Modeling
2.5 3D Printing
2.6 Photopolymer Jetting
2.7 Powder Binder Printer
3 Importance of 3D Printing (Medical Field)
3.1 3D Printing Materials (Implantable Medical Device)
3.1.1 Polymer Materials
3.1.2 Metal Materials
3.1.3 Ceramic Materials
3.1.4 Composite Materials
3.1.5 Derived Materials
3.2 Medical Devices Printed in 3D
3.2.1 Vascular Stents
3.2.2 Prosthetic Valve
3.2.3 Artificial Joint Prostheses
3.2.4 Engineering of Hard and Soft Tissues
3.2.5 Peripheral Hip Diseases
4 Conclusion
References
Fuzzy-Based Hierarchical Routing Protocol for Wireless Sensor Networks
1 Introduction
2 Existing Systems
3 Proposed Model
4 System Model
5 Implementation and Results
6 Conclusion
References
A Review of AI-Based Diagnosis of Multiple Thoracic Diseases in Chest Radiography
1 Introduction
2 Important Design Factors
2.1 Learning Forms
2.2 Network Architecture
2.3 Training Types
3 Multiple Disease Classification
3.1 Evaluation Metrics Used
3.2 Popular Dataset
3.3 State-of-the-Art Models
4 Discussion and Future Trends
5 Conclusion
References
Introduction to Deep Learning
1 Introduction
2 Machine Learning Versus Deep Learning
3 The Architecture of Deep Learning
3.1 Supervised Learning
3.2 Convolutional Neural Network
3.3 Recurrent Neural Networks
3.4 LSTM Networks
3.5 GRU Networks
3.6 Unsupervised Deep Learning
3.7 Self-Organized Map
3.8 Autoencoder
3.9 Restricted Boltzmann Machine
3.10 Deep Belief Network (DBN)
3.11 Deep Stacking Network (DSN)
4 Applications
References
Methodological Assessment of Various Algorithm Types for Load Balancing in Cloud Computing
1 Introduction
2 Load Balancing
3 Data Source
3.1 Search Criteria
3.2 Evaluation of the Level of Quality
4 Methods for Having to Balance Workloads
4.1 There Are Two Varieties of It Based on the Current State of the System
4.2 Load Balancing Metrics [18]
5 Comparative Study (Fig. 8)
6 Conclusion
References
Extraction Techniques and Evaluation Measures for Extractive Text Summarisation
1 Introduction
2 Related Work on Extractive Text Summarisation
3 Extractive vs Abstractive Summarisation Method
3.1 Steps Followed by Extractive-Based Summarisation Methods
3.2 Steps Followed by Abstractive-Based Summarisation Methods
4 Commonly Used Extraction Strategies for Extractive Text Summarisation
4.1 Frequency-Based Approach
4.1.1 Word Probability
4.1.2 Term Frequency–Inverse Document Frequency (TF-IDF)
4.2 Feature-Based Approach
4.3 Machine Learning Approach
4.4 Graph-Based Approach
4.5 Algebraic Method-Based Approach
4.5.1 LSA
4.5.2 NMF (Non-negative Matrix Factorisation)
4.6 Hybrid Approach
5 Evaluation Metrics for Automatic Text Summarisation
6 Conclusion
References
Encrypted, Compressed, and Embedded Text in Audio WAV File Using LSB Audio Stenography
1 Introduction
2 Literature Review
2.1 Symmetric Cipher
2.1.1 Stream Cipher
2.1.2 Block Cipher
2.2 Asymmetric Cipher
2.3 Steganography
2.3.1 Audio Steganography
2.4 Audio Steganography Techniques
2.4.1 Low Bit Encoding
2.4.2 Phase Coding
2.4.3 Echo Hiding
2.5 Data Compression Techniques
2.5.1 Lossless Compression Methods: Run-Length Encoding (RLE)
2.5.2 Huffman Coding
2.5.3 Lempel-Ziv Encoding
2.6 Lossy Compression Methods
3 Proposed System
4 Experimental Work and Results
5 Discussion
6 Conclusion and Future Work
References
Improvement of Flat Plate Collector Performance UsingNano-additives
1 Introduction
2 Methodology
2.1 Experimental Setup
2.2 Test Fluid Preparation
2.3 Energy Analysis
3 Results
3.1 Effect of Nanofluid Without Ethylene Glycol on Efficiency and Reduced Temperature Parameter
3.2 Effect of Nanofluid with Ethylene Glycol on Efficiency and Reduced Temperature Parameter
3.3 Influence of the Mass Flow Rate on Efficiency for Different Test Fluids
4 Conclusions
References
Green Computing: A Sustainable and Eco-friendly Approach for Conservation of Energy (A Contribution to Save Environment)
1 Introduction
2 History of Green Computing
3 Current Trends in Green Computing
4 Effect of Green Computing in Shaping Education
5 Initiatives Worldwide
6 Need for Green Computing
7 How Does Green Computing Conserve Power
8 Sort of Green Computing
9 Challenges in the Field of Green Computing
10 Conclusion
References
Pattern Recognition Using Graph Edit Distance
1 Introduction
2 Basic Concepts and Definitions
3 Algorithms
3.1 Homeomorphic Graph Edit Distance
3.2 GED Utilizing Centrality Information
4 Results and Discussion
5 Conclusion
References
Index