Intelligent Sustainable Systems: Proceedings of ICISS 2021 (Lecture Notes in Networks and Systems, 213) 9811624216, 9789811624216
This book features research papers presented at the 4th International Conference on Intelligent Sustainable Systems (ICI
232 64 25MB
English Pages 878 [844] Year 2021
Foreword
Preface
Acknowledgments
Contents
Editors and Contributors
Deep Learning-Based Approach for Parkinson's Disease Detection Using Region of Interest
1 Introduction
1.1 Subject-Level Classification
1.2 Region of Interest
1.3 Model Generalizability
1.4 Data Leakage
2 Literature Survey
3 Dataset Description
4 Methodology
4.1 Data Preprocessing
4.2 Architecture
4.3 Evaluation Metrics
5 Experiments and Results
5.1 Subject-Level Classification
5.2 Region of Interest
5.3 Model Generalizability
5.4 Effect of Data Leakage
6 Conclusion
References
Classification of Class-Imbalanced Diabetic Retinopathy Images Using the Synthetic Data Creation by Generative Models
1 Introduction
2 Methodology
2.1 Dataset Description
2.2 Retinal Synthetic Image Generation
2.3 CNN Classifier
3 Experimental Results and Discussions
4 Conclusion
References
A Novel Leaf Fragment Dataset and ResNet for Small-Scale Image Analysis
1 Introduction
2 Dataset Preparation
2.1 Data Collection
2.2 Image Pre-processing
2.3 Post-processing
2.4 Filename-Format
3 Residual Neural Network for Cotyledon-Type Identification and Plant Species Classification
3.1 Dataset Formulation and Feature Description
3.2 Residual Block
3.3 Methodology
4 Results
4.1 Cotyledon-Type Identification
4.2 Plant Species Classification
5 Discussion
6 Comparison Between Applied ResNet and ResNet-152 V2
7 Conclusion and Possible Future Contributions
References
Prediction of Covid 19 Cases Based on Weather Parameters
1 Introduction
2 Review of Related Literature Paper
3 Methodology Used
3.1 Dataset Used
3.2 Correlation Study of the Factors
3.3 Mean Squared Error
3.4 Models Used for Study
3.5 Analysis Performed
4 Experiment Results
4.1 Linear Regression
4.2 Decision Tree Regression
4.3 Random Forest Regression
5 Conclusion
References
CloudML: Privacy-Assured Healthcare Machine Learning Model for Cloud Network
1 Introduction
2 Related Work
3 Proposed Approaches
3.1 Unsupervised K-Means Clustering Algorithm
3.2 Secured Multi-party Addition Algorithm
3.3 Pailier Homomorphic Encryption
4 Work Done
5 Experimental Results and Discussion
5.1 Communication Overhead
5.2 Storage Overhead
5.3 Scalability
5.4 Encryption Cost
5.5 Runtime Analysis on Data Points
5.6 Runtime Analysis on Data Dimensionality
6 Limitations and Future Work
7 Concluding Remarks
References
Performance Evaluation of Hierarchical Clustering Protocols in WSN Using MATLAB
1 Introduction
2 Radio Model
3 Overview of Clustering Protocols
3.1 LEACH (Low-Energy Adaptive Clustering Hierarchy)
3.2 LEACH in Heterogeneous Environment
3.3 LEACH-C
3.4 SEP
3.5 DEEC
3.6 DDEEC
4 Simulation Scenario and Performance Metrics
5 Simulation Results
5.1 Scenario 1
5.2 Scenario 2
5.3 Scenario 3
6 Conclusion
References
Speech Recognition Using Artificial Neural Network
1 Introduction
2 Theory
2.1 Artificial Neural Networks from the Viewpoint of Speech Recognition
2.2 Training
2.3 Proposed Model
3 Methodology
3.1 Different Approaches for Reducing the Error
3.2 Changing the Combination and Number of Inputs
3.3 Increasing the Number of Hidden Neurons
3.4 ANFIS (Adaptive Neuro-Fuzzy Inference System)
4 Simulation Results
5 Conclusion
References
Multi-objective Optimization for Dimension Reduction for Large Datasets
1 Introduction
2 Literature Review
3 Research Challenges
4 Feature Selection and Extraction
4.1 Principle Component Analysis (PCA)
4.2 Linear Discriminant Analysis (LDA)
4.3 Correlation Analysis (CA)
4.4 Autoencoders (AE)
4.5 Swarm Intelligence
5 Proposed Methodology
6 Discussion
7 Conclusion
References
Modified Leader Algorithm for Under-Sampling the Imbalanced Dataset for Classification
1 Introduction
2 Proposed Work
2.1 Algorithm
3 Experimental Results
4 Conclusion
References
Weather Divergence of Season Through Regression Analytics
1 Introduction
2 Literature Survey
3 Methodology
3.1 Importing All the Packages
3.2 Importing Dataset
3.3 Multilinear Regression
3.4 Quantile Regression
3.5 Covariance and Correlation
3.6 Algorithm
4 Flowchart
5 Results
6 Conclusion
7 Future Scope
References
A Case Study of Energy Audit in Hospital
1 Introduction
2 Methodology
3 Data Analysis
3.1 Data Cleaning
3.2 Connected Load and Electricity Bill Analysis
3.3 Maximum Contract Demand Calculations
3.4 Transformer Analysis
3.5 Illumination Load Analysis
3.6 Cooling Load Analysis
3.7 PQ Analyzer
4 Discussion
5 Conclusion
References
The Comparison Analysis of Cluster and Non-cluster Based Routing Protocols for WAPMS (Wireless Air Pollution Monitoring System)
1 Introduction
2 Main Significance of Air Pollution Monitoring System in WSN
3 Literature Review
4 Category of the Routing Protocols Used in Air Pollution Monitoring System in WSN
4.1 Cluster-Based Routing Protocols in WAPMS
4.2 Non-cluster Based Protocols in WAPMS
5 Conclusion and Future Scope
References
Frequent Itemset Mining Algorithms—A Literature Survey
1 Introduction
2 Frequent Itemset Mining Algorithms—A Literature Survey
2.1 Building of LP-Tree
2.2 Construction of k-FIU-Tree is as Described as Below
3 Problems and Defınıtıons
4 Conclusion
References
Impact of Segmentation Techniques for Conditıon Monitorıng of Electrical Equipments from Thermal Images
1 Introduction
2 Literature Survey
3 Research Database
4 Image Segmentation Techniques for Thermographs
5 Conclusion and Future Work
References
A Detailed Survey Study on Various Issues and Techniques for Security and Privacy of Healthcare Records
1 Introduction
2 Related Works
3 Big Data Applications—An Analysis
4 A Secured Big Data and ML-Based Framework
5 Classification on Privacy Preserving
6 Big Data Life Cycle
7 Cloud-Based Framework with Image Processing
8 Conclusion
References
Performance Analysıs of Different Classıfıcatıon Algorıthms for Bank Loan Sectors
1 Introduction
2 Build Data Model
3 Classıfıcatıon Algorıthms
3.1 Implementation of K-Nearest Neighbor (KNN)
3.2 Implementation of Decision Tree
3.3 Implementation of Support Vector Machine (SVM)
3.4 Implementation of Logistic Regression
4 Performance Metrics
4.1 Jaccard Similarity Score
4.2 F1 Score
4.3 Log Loss
5 Result Analysis
6 Conclusion
References
Universal Shift Register Designed at Low Supply Voltages in 20 nm FinFET Using Multiplexer
1 Introduction
2 Structural Design and Aspects in FinFETs
3 Design and Realization of 4-Bit Universal Shift Register
4 Simulation Results of 4-Bit Universal Shift Register
5 Conclusion
References
Predicting Graphical User Personality by Facebook Data Mining
1 Introduction
2 Related Work
3 Exam Dataset
4 My Personality Information
5 Results
6 Classification Models Assessment
7 Conclusion
References
Deep Learning in Precision Medicine
1 Introduction
2 Deep Learning in Medical Imaging
3 Deep Learning in Disease Detection
4 Deep Learning in Drug Discovery and Design
5 Deep Learning in Personalized Healthcare
6 Summary
References
Improved Stress Prediction Using Differential Boosting Particle Swarm Optimization-Based Support Vector Machine Classifier
1 Introduction
2 Related Works
3 Differential Boosting Particle Swarm Optimization-Based Support Vector Machine (DBPSO-SVM)
4 Results and Discussion
4.1 Dataset Description
4.2 Validation Technique
4.3 Performance Metrics
4.4 Result Analysis
5 Conclusion
References
Closed-Loop Control of Solar Fed High Gain Converter Using Optimized Algorithm for BLDC Drive Application
1 Introduction
2 Overview of DC-DC Converter Fed BLDC Drive with PSO-PID Controller
3 Designing and Modelling of High Gain DC-DC Converter
4 Control of BLDC Drive-by Electronic Commutation
5 Control Algorithm
5.1 PSO Algorithm
6 Simulation Validation and Discussion of Proposed System
7 Conclusion
References
Internet of Things-Based Design of Smart Speed Control System for Highway Transportation Vehicles
1 Introduction
2 Proposed System Description
2.1 Cloud Server
2.2 Arduino Uno
2.3 WiFi Module
2.4 GSM Module
2.5 Motor Driver
2.6 GPS Module
2.7 LCD Display
3 Proposed System Implementation
3.1 Hardware Implementation
3.2 Software Implementation
4 Results and Discussions
5 Conclusion
References
Effective Ensemble Dimensionality Reduction Approach Using Denoising Autoencoder for Intrusion Detection System
1 Introduction
2 Related Works
3 Methodologies Adopted
3.1 Spearman’s Cross-Correlation
3.2 Autoencoder
4 Proposed Work
4.1 Feature Encoding
4.2 Feature Scaling
4.3 Feature Selection
4.4 Feature Projection and Classification
5 Experiments and Results
5.1 Dataset
5.2 Data Preprocessing
5.3 Test Bed
5.4 Evaluation Metrics and Result Analysis
6 Conclusion
References
Computer-Aided Detection for Early Detection of Lung Cancer Using CT Images
1 Introduction
2 Materials and Methodology
3 Results and Discussion
4 Conclusion
References
Quote Prediction with LSTM & Greedy Search Decoder
1 Introduction
2 Literature Survey
3 Proposed Work
3.1 Dataset Description
3.2 Methodology
3.3 Input
3.4 Long Short-Term Memory
4 Results and Discussion
5 Conclusion and Future Work
References
Skin Cancer Detection from Low-Resolution Images Using Transfer Learning
1 Introduction
2 Data Description
2.1 Data Collection
2.2 Data Processing
3 Transfer Learning for Skin Cancer Detection
4 Results and Discussion
5 Conclusion, Limitations, and Possible Future Contributions
6 Author Contribution
References
CNN-Based Vehicle Classification Using Transfer Learning
1 Introduction
2 Related Works
3 Methodology
3.1 Transfer Learning
3.2 Using Pre-Trained Networks for Transfer Learning
3.3 Implementation of Transfer Learning
4 Experimental Results
4.1 Dataset Description
4.2 Training the Pre-Trained Networks on the Dataset
4.3 Training Details
4.4 Training the Pre-Trained Network Alexnet for Detection
5 Conclusion
References
IoT: A Revolutionizing Step for Pharmaceutical Supply Chain Management During and After Covid19
1 Introduction
2 Literature Review
3 Pharmaceutical Logistics Issues
3.1 Supply Chain Visibility
3.2 Regulatory Affairs
3.3 Collaboration Affairs
3.4 Warehouse Management
3.5 Data Management
4 Supply Chain Difficulties Faced by the Pharmaceutical Companies During the Covid-19 Situation
5 Improvements
5.1 Information Management Infrastructure
5.2 Instantaneous Visibility
5.3 Tracking of Shipments
5.4 Warehousing Adequately
5.5 Medicinal Remote-Sensing
6 Effect of IOT in Pharma Industries
7 Discussion
8 Conclusion
References
Social Network Mining for Predicting Users’ Credibility with Optimal Feature Selection
1 Introduction
2 Related Work
3 System Methodology
3.1 Data Acquisition
3.2 Feature Extraction
3.3 Feature Engineering
3.4 Classification
4 Implementation
4.1 Dataset and Preprocessing
4.2 Classification and Evaluation
5 Result Analysis
5.1 The Performance of the Proposed Method with Statistical Features
5.2 The Performance of the Proposed Method with Tweet Text Features.
5.3 The Performance of the Proposed Method with Hybrid Features.
6 Conclusion
References
Real-Time Security Monitoring System Using Applications Log Data
1 Introduction
2 Literature Survey
3 Methodology
4 Implementation
5 Result
6 Conclusion
References
Comparison of Machine Learning Methods for Tamil Morphological Analyzer
1 Introduction
2 Background
2.1 Morphology
3 Related Work
4 Proposed Work
4.1 Paradigm-Based Finite State Machine
4.2 Unsupervised Approach
4.3 UD2.0 Lemmatization
4.4 Variations of Text Processing Models
4.5 Uniqueness of the Proposed Work
5 System Design
5.1 Preprocessing
5.2 Implementation
5.3 Implementation
6 Conclusion
References
Regression-Based Optimization and Control in Autonomous Systems
1 Introduction
2 Related Works
3 Methodology
4 Experimental Results
5 Conclusion
References
Intellıgent Transportatıon System Applıcatıons: A Traffıc Management Perspectıve
1 Introduction
1.1 Traffic Data Sources
1.2 Communication Technologies
1.3 Security
2 ITS Applications
3 Algorithms Used for Traffic Management Systems (TMS)
3.1 Artificial Neural Network (ANN)
3.2 Convolution Neural Network (CNN)
3.3 Recurrent Neural Network (RNN)
3.4 Deep Belief Network (DBN)
3.5 Auto Encoder (AE)
4 Algorithms in ITS Based on Traffic State Variables
4.1 Travel Time Prediction
4.2 Traffic Flow
4.3 Traffic Speed
4.4 Traffic Conditions
4.5 Traffic Density Estimation
4.6 Vehicle Classification
4.7 Traffic Signal Timing
4.8 Traffic Incident Risk and Detection
4.9 Summary of Algorithms
5 Conclusion
References
Bottleneck Features for Enhancing the Synchronous Generator Fault Diagnosis System Performance
1 Introduction
2 Experimental Setup
3 Data Collection
4 System Description
4.1 Support Vector Machine (SVM)
4.2 Convolutional Neural Network (CNN)
4.3 Bottleneck Features (BNF)
5 Experiments and Results
5.1 Baseline SVM System
5.2 CNN-Based Fault Diagnosis System
5.3 Bottleneck Features (BNF) Based SVM System
6 Conclusion
References
Feasibility Study of Combined Cycle Power Plant in Context of Bangladesh
1 Introduction
2 Current Scenarıo of Power Sector in Bangladesh
3 Technıcal Feasıbılıty
3.1 Natural Gas
3.2 Oil
4 Fundamental Desıgn
4.1 Candidate Models of CCPP
4.2 CCPP Efficiency Data on ISO Conditions
4.3 Calculation Outcomes of CCPP Heat Balance on Unfired Modes
4.4 Heat Balance Calculation Results Under Duct-Fired Conditions
4.5 Heat Balance Calculation Results Under Duct-Fired Conditions
4.6 Water Treatment System
4.7 Wastewater System
4.8 Fire Fighting System
4.9 Electrical Equipment
5 Cost, Economıc, and Fınancıal Analyses
5.1 Scope of the Project
5.2 Fuel Price
5.3 Operation and Maintenance Cost
5.4 Profit and Loss Analysis
5.5 Cash Flow Analysis
5.6 Debt Service
6 Conclusion
References
A Brief Study on Applications of Random Matrix Theory
1 Introduction
1.1 Brief History of Random Matrix
2 Brief Account on Applications of Random Matrix Theory
3 Random Matrix Theory in Physics
3.1 RMT in Nuclear Physics
3.2 RMT in Condensed Matter Physics
3.3 RMT in Optical Physics and Disordered Systems
4 Random Matrix Theory in Wireless Communication
4.1 Random Matrix Theory in Multiple Antenna and Massive MIMO Wireless Channels
5 Random Matrix Theory in Cell Biology
5.1 Analysis of Cancer Cell
5.2 Denoising and Feature Extraction using RMT
6 Random Matrix Theory in Data Mining and Data Analysis
7 Conclusion
References
Development of Feedback-Based Trust Evaluation Scheme to Ensure the Quality of Cloud Computing Services
1 Introduction
2 Literature Study
3 Proposed Trustworthy Monitoring Scheme
3.1 Genuine Feedback Trust Evaluation
3.2 Global Trust Calculation
4 Performance Analysis
5 Conclusion and Future Scope
References
Analysis of Hypertensive Disorder on High-Risk Pregnancy for Rapid Late Trimester Prediction Using Data Mining Classifiers
1 Introduction
2 Literature Review
3 Materıals and Methods
3.1 Data Collection
3.2 Data Pre-Processing
4 Model Formulatıon and Sımulatıon Results
4.1 JRip Classification Rule
4.2 EM Clustering
5 Conclusion
References
Condition Monitoring of a Sprinkler System Using Feedback Mechanism
1 Introduction
2 Related Work
3 Proposed System
4 System Implementation and Results
4.1 Sample Source Code
4.2 Component Testing
4.3 System Testing
5 Conclusion
6 Future Enhancement
References
Cognitive Radio Networks for Internet of Things
1 Introduction
2 Literature Survey
3 Research Challenges
4 CR-IoT Architecture
5 Issues Associated with CR-Based IoT
6 Motivations for Using CR in IoT
7 Applications of CR-Based IoT
8 Conclusion
References
Comprehensive View of Low Light Image/Video Enhancement Centred on Deep Learning
1 Introduction
2 Evaluation of Deep Learning (DL) and Traditional Computer Vision
3 CNN Architecture
4 Deep Learning Methods for Low Light Image Enhancement
4.1 LLNet: A Deep Autoencoder Approach to Natural Low Light Image Enhancement [6]
4.2 MSR-Net: Low Light Image Enhancement Using Deep Convolutional Network [7]
4.3 Learning a Deep Single Image Contrast Enhancer from Multi-Exposure Images [8]
4.4 Deep Retinex Decomposition for Low Light Enhancement [9]
4.5 Learning to See in the Dark [10]
4.6 Kindling the Darkness: A Practical Low Light Image Enhancer [11]
5 Deep Learning Methods for Low Light Video Enhancement
5.1 MBLLEN: Low Light Image/Video Enhancement Using CNNs [12]
5.2 Learning to See Moving Objects in the Dark [13]
5.3 Seeing Motion in the Dark [14]
6 Conclusion
References
Internet of Things in Precision Agriculture: A Survey on Sensing Mechanisms, Potential Applications, and Challenges
1 Introduction
2 Architectural Overview of IoT
2.1 Perception Layer
2.2 Network Layer
2.3 Middleware and Application Layer
3 Sensors and Actuators for Precision Agriculture
4 Potential Applications of IoT in Agriculture
5 Challenges in IoT
6 Conclusion and Future Scope
References
SURF Algorithm-Based Suspect Retrieval
1 Introduction
2 Related Work
3 Proposed Method
4 Results
5 Conclusion
References
An Analysis of the Paradigm Shift from Real Classroom to Reel Classroom During Covid-19 Pandemic
1 Introduction
2 Background
3 Diagnosis and Objectives
4 Sample Tools and Methods
5 Activity Roadmap
5.1 Activity: Essay Writing
5.2 Online Survey: Questionnaire
6 Data Analysis and Findings
6.1 Activity: Essay Writing
6.2 Activity: Survey Questionnaire
7 Conclusion and Suggestions
References
PoemAI: Text Generator Assistant for Writers
1 Introduction
2 Background and Related Work
3 Recurrent Neural Network
4 Dataset
5 Experiment
5.1 Text Processing and Sequence Tokenization
5.2 LSTM Model
5.3 Embedding Layer
5.4 Bi-Directional LSTM
6 Result and Discussion
7 Conclusion
References
Design of Wearable Goniometer
1 Introduction
2 Materials and Methods
2.1 Hardware Platform
2.2 Software Platform
2.3 Sensor Placement
2.4 Joint Range of Motion Estimation
3 Results and Discussion
4 Conclusion
References
ERP Module Functionalities for the Food Supply Chain Industries
1 Introduction
1.1 Sales Module
1.2 Order Placement
1.3 Order Scheduling
1.4 Shipping and Invoice
1.5 Sales Module Functionalities in Food Industry
2 ERP Purchasing Module
2.1 Analysis
2.2 Clarification
2.3 Purchase Order
2.4 Approval of Purchase Order
2.5 Review of the Suppliers
2.6 Supplier Selection
2.7 Price and Term Negotiations
2.8 Order Placement
2.9 Receiving and Inspection
2.10 Payments
2.11 Purchase Module Functionalities in Food Industry
3 Finance Module
3.1 Profit Tracking
3.2 Ledger Management
3.3 Accounts Payable
3.4 Accounts Receivable
3.5 Fixed Asset Management
3.6 Risk Management
3.7 Reporting
3.8 Multi-currency Management
3.9 Financial Module Functionalities in Food Industry
4 Conclusion
References
Medical Ultrasound Image Compression Using Edge Detection
1 Introduction
2 Proposed Method
3 Results and Discussions
4 Conclusion
References
Usage of Clustering in Decision Support System
1 Introduction
2 Review and Analysis of Literature
3 The Purpose of the Study
4 Methods and Models
5 An Example of a Solution and Computational Experiments
5.1 Using Clustering in DSS
5.2 Algorithm Realization
6 Discussion of the Results of the Computational Experiment
7 Conclusions
References
A Comparative Research of Different Classification Algorithms
1 Introduction
2 Literature Review
3 Methods and Materials
4 Experiments and Result Analysis
5 Conclusion
References
An Automatic Correlated Recursive Wrapper-Based Feature Selector (ACRWFS) for Efficient Classification of Network Intrusion Features
1 Introduction
2 Review of Related Literature
2.1 ACRWFS Architecture
2.2 ACRWFS Feature Extraction
3 Conclusion and Future Work
References
Machine Learning-Based Early Diabetes Prediction
1 Introduction
2 Literature Review
3 Methodology
3.1 Dataset
3.2 Proposed Framework
3.3 Data Pre-processing
3.4 Data Visualization
3.5 Data Correlation
3.6 Feature Engineering
3.7 Feature Transformation
3.8 Training and Test Dataset Evaluation
3.9 Model Selection
3.10 Hyperparameter Tuning
3.11 Performance Metrics
4 Results and Commentary
4.1 Classifier Comparison with Original Feature
4.2 Classifier Comparison with Newly Added Features
4.3 Classifier Comparison Post-Hyperparameter Tuning
4.4 Confusion Matrix and Area Under ROC Curve
5 Conclusion
References
Acute Lymphoblastic Leukemia Detection Using Transfer Learning Techniques
1 Introduction
2 Literature Review
3 Proposed System/Materials and Methods
3.1 Dataset
3.2 Data Augmentation
3.3 Feature Extraction and Classification Using Transfer Learning
3.4 MobileNet
3.5 ResNet50
3.6 InceptionV3
3.7 Xception
3.8 Densenet201
4 Experimental Results and Analysis
5 Discussion
6 Conclusion
References
Hybrid Prediction Model for the Success of Bank Telemarketing
1 Introduction
2 Related Works
3 Existing System
4 Methodology
4.1 ML/DL Problem Identification
4.2 Data Aggregation and Integration
4.3 Data Description
4.4 Data Preparation and Cleaning
4.5 Data Visualisation and Analysis
4.6 Feature Engineering
4.7 Model Training and Parameter Tuning
4.8 Model Evaluation
4.9 Model Deployment and Prediction Analysis
4.10 Prediction Results of Machine Learning Models
5 Conclusion
References
COVID-19: Smart Shop Surveillance System
1 Introduction
2 Existing System
3 Proposed System
3.1 QR Code Generator Application
3.2 QR Code Scanner Application
3.3 Temperature Screening Module (MLX90614)
3.4 Facemask Detection System
4 Results and Discussions
5 Conclusion
6 Further Enhancements
References
Heart Disease Prediction Using Deep Neural Networks: A Novel Approach
1 Introduction
2 Related Works
3 Proposed Methodology
3.1 Proposed Model
3.2 Dataset
3.3 Pre-processing
3.4 Deep Neural Networks
3.5 Evaluation Metrics
4 Results and Discussion
5 Conclusion and Future Work
References
Intelligently Controlled Scheme for Integration of SMES in Wind Penetrated Power System for Load Frequency Control
1 Introduction
2 Designing of DFIG Model for Utilization in Simulation Studies
3 Modeling of SMES Device and Its PCS
4 Simulation Results and Discussions
5 Conclusion
References
Effect of Surface Imperfections in Channel Region of an n-MOSFET on Its Vital Characteristics: A Simulation Study
1 Introduction
2 The Problem
3 Methodology
4 Analysis of Simulation Output
5 Results
6 Conclusions
References
Applications of Fuzzy Graph Structures for the Analysis of India’s Growth of Smart Cities: A Systematic Review
1 Introduction
2 Methodology
3 A Study on Reviewed Literature of Smart Cities in India
4 Results and Discussions
5 Conclusions
References
Reliable Fault-Tolerance Routing Technique for Network-on-Chip Interconnect
1 Introduction
2 Background
3 Proposed Architecture and Methodology
4 Result Analysis
4.1 Random Traffic Pattern
4.2 Bit Reversal Traffic Pattern
4.3 Bit Shuffle Traffic Pattern
5 Conclusion
References
Cost-Effective and Efficient Detection of Autism from Screening Test Data Using Light Gradient Boosting Machine
1 Introduction
2 Related Work
3 Methodology
3.1 Importing the Dataset
3.2 Pre-processing the Data
3.3 Training and Testing of the Proposed Model
3.4 Random Search Optimization
3.5 Light Gradient Boosting Machine
3.6 Working Approach
4 Flowchart
5 Results
6 Conclusion
References
Qualitative Analysis of Edible Oils Using Low Field 1 H NMR Spectroscopy and Multivariate Statistical Methods
1 Introduction
2 NMR Analysis
2.1 Low Field NMR Spectroscopy
3 Materials and Methods
3.1 Work Flow
3.2 Sample Preparation and Processing
3.3 Acquisition of LF 1H NMR Spectra
4 Results and Discussion
4.1 Pre-processing Methods
4.2 Principal Component Analysis (PCA)
4.3 Linear Discriminant Analysis (LDA)
5 Conclusion and Future Scope
References
K-Means Algorithm: An Unsupervised Clustering Approach Using Various Similarity/Dissimilarity Measures
1 Introduction
2 K-Means Clustering Algorithm
2.1 Euclidean Distance
2.2 City Block or Manhattan Distance
2.3 Squared Euclidean Distance
2.4 Half Squared Euclidean Distance
2.5 Cosine Similarity and Cosine Distance
3 Results and Discussion
3.1 Confusion Matrix
4 Conclusion
References
Blockchain-Based User Authentication in Cloud Governance Model
1 Introduction
2 Basics of Blockchain
3 Literature Review
4 Origin of Work
5 Application of Blockchain in Cloud Governance Model
5.1 User Registration Using Blockchain
5.2 User Authentication Using Blockchain
6 Conclusion
References
Balanced Cluster Head (CH) Selection in Four-Level Heterogeneous Wireless Sensor Networks (WSN’s)
1 Introduction
2 Related Work
3 Radio Model and Heterogeneous WSN Model
3.1 Radio Model
3.2 Heterogeneous WSN Network Model
4 The Four-Level BEENISH Protocol
5 Result and Discussion
6 Conclusion
References
Author Index
Recommend Papers
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Lecture Notes in Networks and Systems 213
Jennifer S. Raj Ram Palanisamy Isidoros Perikos Yong Shi Editors
Intelligent Sustainable Systems Proceedings of ICISS 2021
Lecture Notes in Networks and Systems Volume 213
Series Editor Janusz Kacprzyk, Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland Advisory Editors Fernando Gomide, Department of Computer Engineering and Automation—DCA, School of Electrical and Computer Engineering—FEEC, University of Campinas— UNICAMP, São Paulo, Brazil Okyay Kaynak, Department of Electrical and Electronic Engineering, Bogazici University, Istanbul, Turkey Derong Liu, Department of Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, USA Institute of Automation, Chinese Academy of Sciences, Beijing, China Witold Pedrycz, Department of Electrical and Computer Engineering, University of Alberta, Alberta, Canada Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland Marios M. Polycarpou, Department of Electrical and Computer Engineering, KIOS Research Center for Intelligent Systems and Networks, University of Cyprus, Nicosia, Cyprus Imre J. Rudas, Óbuda University, Budapest, Hungary Jun Wang, Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong
The series “Lecture Notes in Networks and Systems” publishes the latest developments in Networks and Systems—quickly, informally and with high quality. Original research reported in proceedings and post-proceedings represents the core of LNNS. Volumes published in LNNS embrace all aspects and subfields of, as well as new challenges in, Networks and Systems. The series contains proceedings and edited volumes in systems and networks, spanning the areas of Cyber-Physical Systems, Autonomous Systems, Sensor Networks, Control Systems, Energy Systems, Automotive Systems, Biological Systems, Vehicular Networking and Connected Vehicles, Aerospace Systems, Automation, Manufacturing, Smart Grids, Nonlinear Systems, Power Systems, Robotics, Social Systems, Economic Systems and other. Of particular value to both the contributors and the readership are the short publication timeframe and the world-wide distribution and exposure which enable both a wide and rapid dissemination of research output. The series covers the theory, applications, and perspectives on the state of the art and future developments relevant to systems and networks, decision making, control, complex processes and related areas, as embedded in the fields of interdisciplinary and applied sciences, engineering, computer science, physics, economics, social, and life sciences, as well as the paradigms and methodologies behind them. Indexed by SCOPUS, INSPEC, WTI Frankfurt eG, zbMATH, SCImago. All books published in the series are submitted for consideration in Web of Science.
More information about this series at http://www.springer.com/series/15179
Jennifer S. Raj · Ram Palanisamy · Isidoros Perikos · Yong Shi Editors
Intelligent Sustainable Systems Proceedings of ICISS 2021
Editors Jennifer S. Raj Gnanmani College of Engineering and Technology Namakkal, Tamil Nadu, India Isidoros Perikos Department of Computer Engineering and Informatics University of Patras Patra, Greece
Ram Palanisamy Department of Business Administration, The Gerald Schwartz, School of Business St. Francis Xavier University Nova Scotia, NS, Canada Yong Shi Department of Computer Science Kennesaw State University Kennesaw, GA, USA
ISSN 2367-3370 ISSN 2367-3389 (electronic) Lecture Notes in Networks and Systems ISBN 978-981-16-2421-6 ISBN 978-981-16-2422-3 (eBook) https://doi.org/10.1007/978-981-16-2422-3 © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022 This work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Singapore Pte Ltd. The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721, Singapore
We are honored to dedicate the proceedings of 4th ICISS 2021 to all the participants, organizers, and editors of 4th ICISS 2021.
Foreword
On behalf of the organizing committee, it is my pleasure to welcome you all to the fourth International Conference on Intelligent Sustainable Systems (ICISS 2021). The theme of the 2021 conference is Intelligent Sustainable Systems for a More Sustainable Future, a topic that is gaining significant research attraction from both academia and industries because of the influence of sustainability in digital age and develop sustainability integrated information management systems. Intelligent sustainable systems feature prominently to improvise and assist the transition towards sustainable societies and economies. The well-established research track of sustainable systems research in different ICT domains mandates further research exploration on intelligent sustainable systems and makes ICISS 2021 an excellent venue for exploring state-of-the-art sustainability-related foundations in intelligent information systems. This year, ICISS has received 252 papers in different conference tracks, and based on the 3–4 expert reviews from the technical program committee, internal and external reviewers, and 65 papers were finally selected for the conference. The entire conference proceedings include papers from different tracks like Intelligent Systems, Sustainable Systems, and Applications. Each paper, regardless of track, has received at least three reviews, who have professional expertise in the particular research domain of the paper. The entire success of 4th ICISS 2021 depends on the efforts and research expertise of the researchers in the sustainability domain, who have written and submitted their innovative research results on different research topics included in the conference. A deep appreciation to the conference program and review committee members, who have invested their valuable time in assessing the multiple research submissions made to the conference to maintain a high standard for this conference event. I extend
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my gratitude to the Springer publications for their exhaustive support in updating the conference production deadlines and details to the conference participants. Dr. P. Ebby Darney Principal SCAD College of Engineering and Technology Tirunelveli, Tamil Nadu, India
Preface
With a deep gratification, we are delighted to welcome you to the proceedings of the 4th International Conference on Intelligent Sustainable Systems (ICISS 2021) organized at SCAD College of Engineering and Technology, Tirunelveli, India on February 26–27, 2021. The major goal of this international conference is to gather the academicians, industrialists, researchers, and scholars together in a common platform to share their innovative research ideas and practical solutions toward the development of intelligent sustainable systems for a more sustainable future. ICISS 2021 guarantees to be both invigorating and enlightening with an outstanding array of technical program chairs, keynote speakers, reviewers, and researchers across the globe. The conference delegates had a wide range of technical sessions based on different technical domains involved in the theme of conference. The conference program has included invited keynote sessions on developing a sustainable future, state-of-the-art research work presentations, and informative discussions with the distinguished keynote speakers by covering a wide range of topics in information systems and sustainability research. We are pleased to thank the conference organization committee, conference program committee, and technical reviewers for working generously toward the success of the conference event. A special mention to the internal and external reviewers for working very hard in reviewing each and every paper received at the conference and for giving valuable suggestions to the authors for maintaining the quality of the conference. We are truly obliged to the authors, who have contributed their innovative research results to the conference. Special thanks go to the Springer Publications for their impeccable support and guidance throughout the publication process.
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We wish the proceedings of ICISS 2021 will give an enjoyable and technicalrewarding experience for both attendees and readers.
Namakkal, India Nova Scotia, Canada Patra, Greece Kennesaw, USA
Technical Program Chairs Prof. Dr. Jennifer S. Raj Prof. Dr. Ram Palanisamy Dr. Isidoros Perikos Prof. Dr. Yong Shi
Acknowledgments
The 4th edition of the International Conference on Intelligent Sustainable Systems (ICISS 2021) was organized by SCAD College of Engineering and Technology, Tirunelveli, India during 26–27 February, 2021. The conference has created a platform to bring together a huge number of developing researchers, scholars, and experts to leverage their latest and insightful research ideas, findings, and results. We are deeply grateful to our institution SCAD College of Engineering and Technology for their constant encouragement, guidance, and support in successfully organizing the fourth edition of ICISS. The computer science and engineering [CSE] department is honored by the Springer publications for publishing the proceedings of the conference event and we express our special gratitude to them and expect their support in our future endeavors. We are deeply thankful to the organizing committee members for their valuable support and suggestion on many occasions of the conference event. We are pleased to thank the keynote speaker, Dr. Valentina Emilia, Balas for her ingenious and resourceful talk during the conference session. A successful conference of this magnitude is the significant result of formidable efforts made by various technical program/review/session chairs. We convey our gratitude to all the organizing chairs, faculty and non-faculty members, and reviewers for their outstanding efforts in delivering the right balance for ensuring the quality of the conference. We sincerely thank all the authors for expressing their potential and interest toward the conference. We would like to acknowledge all the members of the conference advisory committee and program committee for providing their excellent cooperation and guidance. On behalf of the conference committee, we welcome you to Tirunelveli to experience the vibrancy of South India. We wish you to find an insightful research experience in 4th ICISS 2021.
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Contents
Deep Learning-Based Approach for Parkinson’s Disease Detection Using Region of Interest . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Yamini Madan, Iswarya Kannoth Veetil, V. Sowmya, E. A. Gopalakrishnan, and K. P. Soman Classification of Class-Imbalanced Diabetic Retinopathy Images Using the Synthetic Data Creation by Generative Models . . . . . . . . . . . . . . Krishanth Kumar, V. Sowmya, E. A. Gopalakrishnan, and K. P. Soman A Novel Leaf Fragment Dataset and ResNet for Small-Scale Image Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Abdul Hasib Uddin, Sharder Shams Mahamud, and Abu Shamim Mohammad Arif Prediction of Covid 19 Cases Based on Weather Parameters . . . . . . . . . . . N. Radha and R. Parvathi
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CloudML: Privacy-Assured Healthcare Machine Learning Model for Cloud Network . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . S. Savitha and Sathish Kumar Ravichandran
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Performance Evaluation of Hierarchical Clustering Protocols in WSN Using MATLAB . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Sarang D. Patil and Pravin S. Patil
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Speech Recognition Using Artificial Neural Network . . . . . . . . . . . . . . . . . . Shoeb Hussain, Ronaq Nazir, Urooj Javeed, Shoaib Khan, and Rumaisa Sofi Multi-objective Optimization for Dimension Reduction for Large Datasets . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pradeep Bedi, S. B. Goyal, Jugnesh Kumar, and Ritika
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Modified Leader Algorithm for Under-Sampling the Imbalanced Dataset for Classification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107 S. Karthikeyan and T. Kathirvalavakumar xiii
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Weather Divergence of Season Through Regression Analytics . . . . . . . . . . 119 Shahana Bano, Gorsa Lakshmi Niharika, Tinnavalli Deepika, S. Nithya Tanvi Nishitha, and Yerramreddy Lakshmi Pranathi A Case Study of Energy Audit in Hospital . . . . . . . . . . . . . . . . . . . . . . . . . . . 131 Abhinay Gupta, Rakhee Kallimani, Krishna Pai, and Akshata Koodagi The Comparison Analysis of Cluster and Non-cluster Based Routing Protocols for WAPMS (Wireless Air Pollution Monitoring System) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 145 Ekta Dixit and Vandana Jindal Frequent Itemset Mining Algorithms—A Literature Survey . . . . . . . . . . . 159 M. Sinthuja, D. Evangeline, S. Pravinth Raja, and G. Shanmugarathinam Impact of Segmentation Techniques for Conditıon Monitorıng of Electrical Equipments from Thermal Images . . . . . . . . . . . . . . . . . . . . . . 167 M. S. Sangeeetha, N. M. Nandhitha, S. Emalda Roslin, and Rekha Chakravarthi A Detailed Survey Study on Various Issues and Techniques for Security and Privacy of Healthcare Records . . . . . . . . . . . . . . . . . . . . . . 181 M. H. Chaithra and S. Vagdevi Performance Analysıs of Different Classıfıcatıon Algorıthms for Bank Loan Sectors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 191 K. Hemachandran, Raul V. Rodriguez, Rajat Toshniwal, Mohammed Junaid, and Laxmi shaw Universal Shift Register Designed at Low Supply Voltages in 20 nm FinFET Using Multiplexer . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 203 Rajeev Ratna Vallabhuni, Jujavarapu Sravana, Chandra Shaker Pittala, Mikkili Divya, B. M. S. Rani, and Vallabhuni Vijay Predicting Graphical User Personality by Facebook Data Mining . . . . . . 213 V. Mounika, N. Raghavendra Sai, N. Naga Lakshmi, and V. Bhavani Deep Learning in Precision Medicine . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 223 Kavita Tewani Improved Stress Prediction Using Differential Boosting Particle Swarm Optimization-Based Support Vector Machine Classifier . . . . . . . . 233 P. B. Pankajavalli and G. S. Karthick Closed-Loop Control of Solar Fed High Gain Converter Using Optimized Algorithm for BLDC Drive Application . . . . . . . . . . . . . . . . . . . 245 R. Femi, T. Sree Renga Raja, and R. Shenbagalakshmi
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Internet of Things-Based Design of Smart Speed Control System for Highway Transportation Vehicles . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 257 R. Senthil Ganesh, S. A. Sivakumar, V. Nagaraj, G. K. Jakir Hussain, M. Ashok, and G. Thamarai Selvi Effective Ensemble Dimensionality Reduction Approach Using Denoising Autoencoder for Intrusion Detection System . . . . . . . . . . . . . . . . 273 Saranya Prabu, Jayashree Padmanabhan, and Geetha Bala Computer-Aided Detection for Early Detection of Lung Cancer Using CT Images . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 287 Usha Desai, Sowmya Kamath, Akshaya D. Shetty, and M. Sandeep Prabhu Quote Prediction with LSTM & Greedy Search Decoder . . . . . . . . . . . . . . 303 Amarjit Malhotra, Megha Gupta, Kartik Vashisth, Naman Kathuria, and Sunny Kumar Skin Cancer Detection from Low-Resolution Images Using Transfer Learning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 317 M. D. Reyad Hossain Khan, Abdul Hasib Uddin, Abdullah-Al Nahid, and Anupam Kumar Bairagi CNN-Based Vehicle Classification Using Transfer Learning . . . . . . . . . . . 335 G. M. Rajathi, J. Judeson Antony Kovilpillai, Harini Sankar, and S. Divya IoT: A Revolutionizing Step for Pharmaceutical Supply Chain Management During and After Covid19 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 349 Amrita Verma Pargaien, Tushar Kumar, Monika Maan, Suman Sharma, Himanshu Joshi, and Saurabh Pargaien Social Network Mining for Predicting Users’ Credibility with Optimal Feature Selection . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 361 P. Jayashree, K. Laila, K. Santhosh Kumar, and A. Udayavannan Real-Time Security Monitoring System Using Applications Log Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 375 S. Pratap Singh, A. Nageswara Rao, and T. Raghavendra Gupta Comparison of Machine Learning Methods for Tamil Morphological Analyzer . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 385 M. Rajasekar and Angelina Geetha Regression-Based Optimization and Control in Autonomous Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 401 J. Judeson Antony Kovilpillai, S. Jayanthy, and T. Thamaraikannan Intellıgent Transportatıon System Applıcatıons: A Traffıc Management Perspectıve . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 419 Varsha Bhatia, Vivek Jaglan, Sunita Kumawat, Vikas Siwach, and Harkesh Sehrawat
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Bottleneck Features for Enhancing the Synchronous Generator Fault Diagnosis System Performance . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 435 C. Santhosh Kumar, A. Bramendran, and K. T. Sreekumar Feasibility Study of Combined Cycle Power Plant in Context of Bangladesh . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 447 Md. Sazal Miah, Shishir Kumar Bhowmick, Md. Rezaul Karim Sohel, Md. Abdul Momen Swazal, Sazib Mittro, and M. S. Hossain Lipu A Brief Study on Applications of Random Matrix Theory . . . . . . . . . . . . . 465 N. Siva Priya and N. Shenbagavadivu Development of Feedback-Based Trust Evaluation Scheme to Ensure the Quality of Cloud Computing Services . . . . . . . . . . . . . . . . . . 479 Sabout Nagaraju and C. Swetha Priya Analysis of Hypertensive Disorder on High-Risk Pregnancy for Rapid Late Trimester Prediction Using Data Mining Classifiers . . . . 495 Durga Karthik, K. Vijayarekha, B. Sreedevi, and R. Bhavani Condition Monitoring of a Sprinkler System Using Feedback Mechanism . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 503 S. Mahalakshmi, N. Veena, S. Guruprasad, and Pallavi Cognitive Radio Networks for Internet of Things . . . . . . . . . . . . . . . . . . . . . 515 K. Leena and S. G. Hiremath Comprehensive View of Low Light Image/Video Enhancement Centred on Deep Learning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 527 C. Anitha and R. Mathusoothana S. Kumar Internet of Things in Precision Agriculture: A Survey on Sensing Mechanisms, Potential Applications, and Challenges . . . . . . . . . . . . . . . . . . 539 R. Madhumathi, T. Arumuganathan, and R. Shruthi SURF Algorithm-Based Suspect Retrieval . . . . . . . . . . . . . . . . . . . . . . . . . . . 555 Swati Srivastava, Mudit Mangal, and Mayank Garg An Analysis of the Paradigm Shift from Real Classroom to Reel Classroom During Covid-19 Pandemic . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 563 Pawan Agarwal, Kavita A. Joshi, and Shweta Arora PoemAI: Text Generator Assistant for Writers . . . . . . . . . . . . . . . . . . . . . . . 575 Yamini Ratawal, Vaibhav Singh Makhloga, Kartikay Raheja, Preksh Chadha, and Nikhil Bhatt Design of Wearable Goniometer . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 585 A. Siva Sakthi, B. Mithra, M. Rakshana, S. Niveda, and K. Gayathri ERP Module Functionalities for the Food Supply Chain Industries . . . . . 595 Kumar Rahul, Rohitash Kumar Banyal, and Hansika Sati
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Medical Ultrasound Image Compression Using Edge Detection . . . . . . . . 607 T. Manivannan and A. Nagarajan Usage of Clustering in Decision Support System . . . . . . . . . . . . . . . . . . . . . . 615 K. Khorolska, V. Lazorenko, B. Bebeshko, A. Desiatko, O. Kharchenko, and V. Yaremych A Comparative Research of Different Classification Algorithms . . . . . . . . 631 Amlan Jyoti Baruah, JyotiProkash Goswami, Dibya Jyoti Bora, and Siddhartha Baruah An Automatic Correlated Recursive Wrapper-Based Feature Selector (ACRWFS) for Efficient Classification of Network Intrusion Features . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 647 P. Ramachandran and R. Balasubramian Machine Learning-Based Early Diabetes Prediction . . . . . . . . . . . . . . . . . . 661 Deepa Elizabeth James and E. R. Vimina Acute Lymphoblastic Leukemia Detection Using Transfer Learning Techniques . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 679 K. S. Ananthu, Pambavasan Krishna Prasad, S. Nagarajan, and E. R. Vimina Hybrid Prediction Model for the Success of Bank Telemarketing . . . . . . . 693 Rohan Desai and Vaishali Khairnar COVID-19: Smart Shop Surveillance System . . . . . . . . . . . . . . . . . . . . . . . . . 711 S. Kukan, S. Gokul, S. S. Vishnu Priyan, S. Barathi Kanna, and E. Prabhu Heart Disease Prediction Using Deep Neural Networks: A Novel Approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 725 Kondeth Fathima and E. R. Vimina Intelligently Controlled Scheme for Integration of SMES in Wind Penetrated Power System for Load Frequency Control . . . . . . . . . . . . . . . . 737 S. Zahid Nabi Dar Effect of Surface Imperfections in Channel Region of an n-MOSFET on Its Vital Characteristics: A Simulation Study . . . . . 747 Shailendra Baraniya and S. Zahid Nabi Dar Applications of Fuzzy Graph Structures for the Analysis of India’s Growth of Smart Cities: A Systematic Review . . . . . . . . . . . . . . . . . . . . . . . . 755 B. Angel and D. Angel Reliable Fault-Tolerance Routing Technique for Network-on-Chip Interconnect . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 767 Jayshree, Gopalakrishnan Seetharaman, and Debadatta Pati
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Cost-Effective and Efficient Detection of Autism from Screening Test Data Using Light Gradient Boosting Machine . . . . . . . . . . . . . . . . . . . . 777 Sai Pavan Kamma, Shahana Bano, Gorsa Lakshmi Niharika, Guru Sai Chilukuri, and Deepika Ghanta Qualitative Analysis of Edible Oils Using Low Field 1 H NMR Spectroscopy and Multivariate Statistical Methods . . . . . . . . . . . . . . . . . . . 791 J. Aswathy, Patel Surendra Singh, V Sai Krishna, Navjot Kumar, and P. C. Panchariya K-Means Algorithm: An Unsupervised Clustering Approach Using Various Similarity/Dissimilarity Measures . . . . . . . . . . . . . . . . . . . . . 805 Surendra Singh Patel, Navjot Kumar, J. Aswathy, Sai Krishna Vaddadi, S. A. Akbar, and P. C. Panchariya Blockchain-Based User Authentication in Cloud Governance Model . . . . 815 Ankur Biswas and Abhishek Roy Balanced Cluster Head (CH) Selection in Four-Level Heterogeneous Wireless Sensor Networks (WSN’s) . . . . . . . . . . . . . . . . . . . 827 V. Baby Shalini Author Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 845
Editors and Contributors
About the Editors Dr. Jennifer S. Raj received Ph.D. degree from Anna University and Master’s Degree in communication system from SRM University, India. Currently, she is working in the Department of ECE, Gnanamani College of Technology, Namakkal, India. She is a life member of ISTE, India. She has been serving as an organizing chair and a program chair of several international conferences and in the program committees of several international conferences. She is a book reviewer for Tata McGraw hill publication and publishes more than fifty research articles in journals and IEEE conferences. Her interests are in wireless healthcare informatics and body area sensor networks. Prof. Ram Palanisamy is a professor of enterprise systems in the Business Administration Department at the Gerald Schwartz School of Business, St. Francis Xavier University. Dr. Palanisamy teaches courses on Foundations of Business Information Technology, Enterprise Systems using SAP, Systems Analysis and Design, SAP Implementation, Database Management Systems, and Electronic Business (Mobile Commerce). Before joining StFX, he taught courses in management at the Wayne State University (Detroit, USA), Universiti Telekom (Malaysia), and National Institute of Technology (NITT), Deemed University, India. His research interest includes enterprise systems (ES) implementation; ES acquisition; ES flexibility and ES success; knowledge management systems; and healthcare inter-professional collaboration. Dr. Isidoros Perikos completed his Ph.D. in Computer Engineering and Informatics, Computer Engineering and Informatics Department at the University of Patras, Greece (2016), and M.Sc. in Computer Science and Technology, Computer Engineering and Informatics Department at University of Patras (2010). He has completed Engineering Diploma (five-year program, M. Eng.) in Computer Engineering and Informatics, Computer Engineering and Informatics Department at University of Patras (2008). His research interest includes semantic web and xix
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ontology engineering, web intelligence, natural language processing and understanding, human–computer interaction, and affective computing robotics. He has published in national and international journals and conferences. Dr. Yong Shi is currently working as an associate/tenured professor of computer science, Kennesaw State University, and a director/coordinator of the Master of Computer Science. He is responsible for directing the Master of Computer Science program, reviewing applications for the Master of Computer Science. He has published more than 50 articles in national and international journals. He acted as an editor, a reviewer, an editorial board member, and a program committee member in many reputed journals and conferences. His research interest includes cloud computing, big data, and cybersecurity.
Contributors Md. Abdul Momen Swazal Department of Electrical and Electronic Engineering, University of Asia Pacific, Dhaka, Bangladesh Pawan Agarwal Graphic Era Hill University, Bhimtal, Uttarakhand, India S. A. Akbar Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, UP, India; CSIR-Central Electronics Engineering Research Institute, Pilani, Rajasthan, India K. S. Ananthu Department of Computer Science and IT, Amrita School of Arts and Sciences, Amrita Vishwa Vidyapeetham, Kochi, India B. Angel Central Institute of Plastics Engineering and Technology, Chennai, India D. Angel Sathyabama Institute of Science and Technology, Chennai, India C. Anitha Department of CSE, NICHE, Kumaracoil, Tamil Nadu, India Abu Shamim Mohammad Arif Computer Science and Engineering Discipline, Khulna University, Khulna, Bangladesh Shweta Arora Graphic Era Hill University, Bhimtal, Uttarakhand, India T. Arumuganathan ICAR-Sugarcane Breeding Institute, Coimbatore, India M. Ashok Department of CSE, Rajalakshmi Institute of Technology, Chennai, Tamilnadu, India J. Aswathy Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India; CSIR-Central Electronics Engineering Research Institute, Pilani, India V. Baby Shalini Information Technology, Kalasalingam Academy of Research and Education, Krishnankoil, Srivilliputhur, India
Editors and Contributors
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Anupam Kumar Bairagi Khulna University, Khulna, Bangladesh Geetha Bala Department of Electronics and Communication Engineering, Prince Dr. K. Vasudevan College of Engineering & Technology, Chennai, India R. Balasubramian Department of Computer Science, J.J College of Arts & Science (Autonomous), Pudukkottai, India Shahana Bano Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India Rohitash Kumar Banyal Department of Computer Science and Engineering, Rajasthan Technical University, Kota, India Shailendra Baraniya Department of Electrical and Electronics Engineering, CMR Institute of Technology, Bengaluru, India S. Barathi Kanna Department of Electronics and Communication Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, Coimbatore, India Amlan Jyoti Baruah Department of Computer Science and Engineering, Assam Kaziranga University, Jorhat, Assam, India Siddhartha Baruah Department of Computer Applications, Jorhat Engineering College, Jorhat, Assam, India B. Bebeshko Faculty of Information Technologies, Kyiv National University of Trade and Economics, Kyiv, Ukraine Pradeep Bedi Lingayas Vidyapeeth, Faridabad, India Varsha Bhatia Amity University, Gurugram, Haryana, India Nikhil Bhatt Akhilesh Das Gupta Institute of Technology and Management, Delhi, India R. Bhavani Department Kumbakonam, India
of
CSE/SRC,
SASTRA
Deemed
University,
V. Bhavani Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India Shishir Kumar Bhowmick Department of Electrical and Electronic Engineering, University of Asia Pacific, Dhaka, Bangladesh Ankur Biswas Department of Computer Science & Engineering, Adamas University, Kolkata, India Dibya Jyoti Bora School of Computing Science, Assam Kaziranga University, Jorhat, Assam, India
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Editors and Contributors
A. Bramendran Machine Intelligence Research Laboratory, Department of Electronics and Communication Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India Preksh Chadha Akhilesh Das Gupta Institute of Technology and Management, Delhi, India M. H. Chaithra Department of Computer Science and Engineering, Visvesvaraya Technological University, Belagavi, Karnataka, India Rekha Chakravarthi School of Electrical and Electronics, Sathyabama Institute of Science and Technology, Chennai, India Guru Sai Chilukuri Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India Tinnavalli Deepika Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, India Rohan Desai Department of Information Technology, Terna Engineering College, Navi Mumbai, India Usha Desai Department of Electronics and Communication Engineering, NMAM Institute of Technology, Nitte, Udupi, Karnataka, India A. Desiatko Faculty of Information Technologies, Kyiv National University of Trade and Economics, Kyiv, Ukraine Mikkili Divya Department of Electronics and Communication Engineering, Vignan’s Nirula Institute of Technology and Science for Women, Guntur, AP, India S. Divya Department of ECE, Sri Ramakrishna Engineering College, Coimbatore, India Ekta Dixit Punjabi University, Patiala, Punjab, India D. Evangeline M.S. Ramaiah Institute of Technolgy, Bangalore, India Kondeth Fathima Amrita School of Arts and Science, Kochi, India R. Femi Department of EEE, University College of Engineering, Nagercoil, India R. Senthil Ganesh Department of ECE, Sri Krishna College of Engineering and Technology, Coimbatore, Tamilnadu, India Mayank Garg Department of Computer Engineering & Application, GLA University, Mathura, India K. Gayathri Department of Electronics and Communication Engineering, Sri Ramakrishna Engineering College, Coimbatore, India Angelina Geetha Department of Computer Science and Engineering, Hindustan Institute of Technology and Science, Padur, Chennai, India
Editors and Contributors
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Deepika Ghanta Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India S. Gokul Department of Electronics and Communication Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, Coimbatore, India E. A. Gopalakrishnan Amrita School of Engineering, Center for Computational Engineering and Networking (CEN), Amrita Vishwa Vidyapeetham, Coimbatore, India JyotiProkash Goswami Department of Computer Applications, Assam Engineering College, Guwahati, Assam, India S. B. Goyal City University Malaysia, Petaling Jaya, Malaysia Abhinay Gupta Department of Electrical and Electronics Engineering, KLE Dr. M. S. Sheshgiri College of Engineering & Technology, Belagavi, India Megha Gupta Department of Computer Science, MSCW, University of Delhi, Delhi, India S. Guruprasad Department of ISE, BMS Institute of Technology and Management, Bengaluru, India K. Hemachandran Woxsen School of Business, Woxsen University, Hyderabad, India S. G. Hiremath Department of Electronics and Communication Engineering, East West Institute of Technology, Bangalore, Karnataka, India M. S. Hossain Lipu Department of Electrical, Electronic and Systems Engineering, Universiti Kebangsaan Malaysia, Bangi, Malaysia G. K. Jakir Hussain Department of ECE, KPR Institute of Engineering and Technology, Coimbatore, Tamilnadu, India Shoeb Hussain Department of Electrical Engineering, University of Kashmir, Srinagar, India Vivek Jaglan Graphic Era Hill University, Dehradun, India Deepa Elizabeth James Amrita School of Arts and Science, Amrita Vishwa Vidyapeetham, Kochi Campus, Kochi, India Urooj Javeed Department of Electrical Engineering, University of Kashmir, Srinagar, India S. Jayanthy Department of ECE, Sri Ramakrishna Engineering College, Coimbatore, India P. Jayashree Department of Computer Technology, MIT Campus, Anna University, Chennai, India
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Editors and Contributors
Jayshree Department of Electronics & Communication Engineering, National Institute of Technology, Nagaland, India; Indian Institute of Information Technology, Tiruchirappalli, India Vandana Jindal DAV College, Bathinda, Punjab, India Himanshu Joshi Graphic Era Hill University, Bhimtal, India Kavita A. Joshi Graphic Era Hill University, Bhimtal, Uttarakhand, India J. Judeson Antony Kovilpillai Department of ECE, Sri Ramakrishna Engineering College, Coimbatore, India Mohammed Junaid Woxsen School of Business, Woxsen University, Hyderabad, India Rakhee Kallimani Department of Electrical and Electronics Engineering, KLE Dr. M. S. Sheshgiri College of Engineering & Technology, Belagavi, India Sowmya Kamath Department of Electronics and Communication Engineering, NMAM Institute of Technology, Nitte, Udupi, Karnataka, India Sai Pavan Kamma Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India G. S. Karthick Department of Computer Science, Bharathiar University, Coimbatore, Tamil Nadu, India Durga Karthik Department of CSE/SRC, SASTRA Deemed University, Kumbakonam, India S. Karthikeyan Department of Information Technology, V.H.N. Senthikumara Nadar College, Virudhunagar, Tamilnadu, India T. Kathirvalavakumar Research Centre in Computer V.H.N.Senthikumara Nadar College, Virudhunagar, Tamilnadu, India
Science,
Naman Kathuria Department of Information Technology, Netaji Subhas University of Technology, Delhi, India Vaishali Khairnar Department of Information Technology, Terna Engineering College, Navi Mumbai, India M. D. Reyad Hossain Khan Khulna University, Khulna, Bangladesh Shoaib Khan Departmen