Human-Centric Smart Computing: Proceedings of ICHCSC 2022

Description

This book includes high-quality research papers presented at the First International Conference on Human-Centric Smart Computing (ICHCSC 2022), organized by the University of Engineering and Management, Jaipur, India, on 27–29 April 2022. The topics covered in the book are human-centric computing, hyper connectivity, and data science. The book presents innovative work by leading academics, researchers, and experts from industry. Advisory Committee Technical Programme Committee Scientific Committee Preface Contents About the Editors 1 Breast MRI Registration Using Gorilla Troops Optimization 1.1 Introduction 1.1.1 Transformation 1.1.2 Normalized Mutual Information 1.2 Related Work 1.2.1 Registration of Medical Images 1.2.2 Medical Images Registration Approach 1.3 Proposed Methodology 1.3.1 GTO Algorithm 1.4 Result and Discussion 1.4.1 Dataset 1.4.2 Statistical Significance with NMI 1.5 Conclusion 1.6 Future Scope References 2 Forward and Backward Key Secrecy Preservation Scheme for Medical Internet of Things 2.1 Introduction 2.2 Related Work 2.3 The Proposed Scheme 2.3.1 Initialization Phase 2.3.2 Registration Phase 2.3.3 Login Phase 2.3.4 Authentication and Key Negotiation Phase 2.4 Security Analysis and Performance Evaluation 2.4.1 Security Evaluation 2.4.2 Performance Evaluation 2.5 Conclusion and Future Work References 3 Systematic Study of Detection Mechanism for Network Intrusion in Cloud, Fog, and Internet of Things Using Deep Learning 3.1 Introduction 3.2 NIDS Using Deep Learning in Internet of Things (IoT) Network 3.2.1 NIDS Using Deep Belief Network (DBN) in IoT 3.2.2 NIDS Using Convolutional Neural Network (CNN) in IoT 3.2.3 NIDS Using Autoencoder (AE) in IoT 3.2.4 Integration of Long Short-Term Memory (LSTM) and CNN in IoT 3.3 NIDS Using Deep Learning in Cloud Network 3.3.1 NIDS Using AE in Cloud Network 3.3.2 NIDS Using Restricted Boltzmann Machine (RBM) in Cloud Network 3.3.3 Integration of LSTM, Recurrent Neural Network (RNN), Deep Neural Network (DNN), and DBN in Cloud Network 3.3.4 NIDS Using Deep Learning (DL) and Machine Learning (ML) Techniques in Cloud Network 3.4 NIDS Using Deep Learning (DL) in Fog Network 3.4.1 NIDS Using Convolutional Neural Network (CNN) in Fog Network 3.4.2 NIDS Using AE in Fog Network 3.4.3 NIDS Using RNN in Fog Network 3.4.4 NIDS Using LSTM in Fog Network 3.4.5 NIDS Using Deep Learning (DL) and Machine Learning (ML) Techniques in Fog Network 3.5 NIDS Using Deep Learning in Edge Network 3.5.1 NIDS Using CNN in Edge Network 3.5.2 NIDS Using DBN in Edge Network 3.6 Conclusion References 4 Creation and Statistical Analysis of a Corpus for Indian Ankylosing Spondylitis Patients with Focus on COVID-19 4.1 Introduction 4.2 Questionnaire Creation 4.3 Statistical Analysis 4.3.1 Discussions 4.4 Conclusion References 5 Workload Prediction of Virtual Machines Using Integrated Deep Learning Approaches Over Cloud Data Centers 5.1 Introduction 5.2 Background of the Research 5.3 Forecasting Workload with a Deep Learning Model 5.3.1 Convolutional Neural Network Model 5.3.2 Long Short-Term Memory Based Model 5.3.3 Bidirectional Long Short-Term Memory Model 5.3.4 The Proposed Integrated CNN Bidirectional Long Short-Term Memory Model 5.4 The Experimental Dataset and Evaluation Method 5.5 Results and Analysis 5.6 Conclusion References 6 Performance Analysis of Reversible Full Adders in Noisy Intermediate Scale Quantum (NISQ) Devices 6.1 Introduction 6.2 Elementary Quantum Gates and Their Implementation 6.2.1 Quantum Gates 6.3 Quantum Full Adder 6.3.1 Definition, Equation, and Block Diagram 6.3.2 Existing Works 6.3.3 Quantum Circuits of Full Adder 6.3.4 Analysis of Outcomes 6.3.5 The Outcome Variation with Increasing Shot Counts 6.3.6 Measurement Error Mitigation 6.4 Conclusion References 7 Automatic Gas Leakage Detection, Control and Emergency Notification System 7.1 Introduction 7.2 System Overview and Setup 7.3 Operation 7.3.1 Detection 7.3.2 Control 7.3.3 Notification 7.4 Result Analysis 7.5 Conclusion References 8 Packet Delivery Comparison Using Artificial Bee Colony Algorithm with Dynamic Technique 8.1 Introduction 8.2 Literature of Review 8.3 Proposed Methodology 8.3.1 Brief Overview of ABC Algorithm 8.4 Result 8.5 Conclusion References 9 Mining Frequent Patterns from Temporal Dataset Using Backtracking Search Tree of GenMax Algorithm 9.1 Introduction 9.2 Related Work 9.3 Basic Concept and Preliminaries 9.3.1 Temporal Cube 9.3.2 Backtracking Method 9.3.3 Optimization Techniques 9.4 Proposed Algorithm 9.5 MFI Tree Construction 9.5.1 Temporal Pattern Generation 9.6 Experimental Result 9.6.1 Air Quality Dataset 9.6.2 Performance Analysis 9.7 Conclusion References 10 A Pilot Study and Survey on Methods for Anomaly Detection in Online Social Networks 10.1 Introduction 10.2 Aspects of Anomaly Detection 10.3 Graph-Based Anomaly Detection Methods 10.3.1 Static Graph Anomaly Detection Methods 10.3.2 Dynamic Graph Anomaly Detection Methods 10.4 Challenges in the Field of Anomaly Detection 10.5 Conclusion References 11 A Brief Review on the Role of Blockchain in Supply Chain Management 11.1 Introduction 11.2 Basics of Blockchain 11.2.1 Blockchain Structure 11.2.2 Centralized Versus Decentralized Blockchain Architecture 11.2.3 Type of Blockchain 11.2.4 Consensus Mechanism at Blockchain 11.2.5 Key Issues of BlockChain 11.3 Supply Chain 11.3.1 Key Issues of Supply Chain 11.3.2 Blockchain in Supply Chain 11.4 Survey of Literature 11.5 Intelligence in Blockchain 11.6 Conclusions References 12 Biometric Assisted Multi-modal Encryption Key for Secured FHSS Communication 12.1 Introduction 12.2 Motivation 12.3 Material and Methods 12.4 Proposed Methodology 12.5 Result and Discussion 12.6 Conclusion References 13 A Proposed Framework to Analyze the Current Digital Health Status in Egypt 13.1 Introduction 13.2 Study of the Current State of Healthcare Digital Transformation in Egypt 13.2.1 Aligning Digital Health care in Egypt to the Global Trends 13.2.2 Digital Transformation in Health Sector Challenges in Egypt 13.2.3 Discussion, Results, and Data Analysis of the Current Situation in Egypt 13.3 The Proposed Framework to Apply Healthcare Digital Transformation in Egypt 13.3.1 Non-technical Infrastructure 13.3.2 Technical Infrastructure 13.4 Conclusion References 14 Classification of Swarm Collective Motion Using Machine Learning 14.1 Introduction 14.2 Related Studies 14.3 Materials and Methods 14.3.1 Dataset 14.3.2 Methodology 14.4 Results 14.5 Conclusion References 15 MATRA: An Automated System for MATernal Risk Assessment 15.1 Introduction 15.2 Literature Review 15.3 Data Description 15.4 Experiments and Results 15.4.1 Metrics of Evaluation 15.4.2 Discussion of Results 15.5 Conclusion References 16 An Axiomatic Analysis for Object Detection and Recognition Using Deep Learning 16.1 Introduction 16.2 Related Study of Recent Object Detection Engines 16.3 Important Datasets for Object Detection Applications 16.4 Recent Object Detection Models 16.5 Dataset Description and Experiment Setup 16.5.1 Algorithm for Data Preprocessing for YOLO (DPPY) 16.6 Results and Discussion 16.6.1 Performance Metrics and Evaluation 16.7 Conclusion References 17 A Shortest Path Problem for Drug Delivery Using Domination and Eccentricity 17.1 Introduction 17.2 Domination 17.3 Eccentricity 17.3.1 Comparison Between Domination and Eccentricity 17.4 Real-Life Approach to Graph Theory 17.4.1 Domination 17.4.2 Eccentricity 17.4.3 University Problem 17.4.4 Steps to Find the Shortest Path 17.5 Conclusion 17.6 Future Scope References 18 Search Engine Optimization for Digital Marketing to Raise the Rank, Traffic, and Usability of the Website 18.1 Introduction 18.1.1 Problem Statement 18.2 Literature Survey 18.2.1 Analysis of a Search Engine 18.3 Our Approach Toward Search Engine 18.3.1 Utilize the Bookmarks 18.3.2 Use Quotes or Keywords 18.4 Quality Score Parameters 18.5 Result Analysis 18.6 Conclusion References 19 Applicability of Search Engine Optimization for WordPress (WP) Website 19.1 Introduction 19.1.1 Contribution 19.2 Literature Survey 19.3 Our Approach Toward Search Engine 19.3.1 Use a Hyphen to Exclude Words 19.3.2 Use a Colon to Search Specific Sites 19.3.3 Find a Page that Links to Another Page 19.3.4 Use the Asterisk Wildcard 19.3.5 Find Sites that Are Similar to Other Sites 19.3.6 Google Search Has Shortcuts 19.3.7 AD-Rank 19.4 Comparison with Previous Methods 19.5 Result Analysis 19.6 Conclusion References 20 Post Covid Anxiety Among University Students in Odisha India 20.1 Introduction 20.2 Related Study 20.3 Proposed Approach 20.4 Discussion 20.5 Conclusion 20.6 Future Work References 21 Using Machine Learning to Predict Business Survival in COVID-19 21.1 Introduction 21.2 Related/Similar Work 21.2.1 COVID-19 Impact on Businesses 21.2.2 Machine Learning-Based Classification Models 21.3 Dataset 21.3.1 Feature Engineering 21.4 Approach 21.4.1 Preprocessing 21.4.2 SMOTE 21.4.3 Min-Max Normalization 21.4.4 Training and Evaluation Pipeline 21.4.5 Machine Learning Models 21.4.6 Metrics 21.4.7 Library Usage 21.5 Results 21.5.1 Model Evaluation 21.5.2 Class-Specific Metrics 21.5.3 Feature Importance 21.6 Conclusions and Future Work 21.6.1 Conclusions 21.6.2 Future Work References 22 Solar-Driven Water Desalination Technology—A Case Study 22.1 Introduction 22.2 Literature Survey 22.3 Materials and Methods 22.3.1 Monolithic Solar Stills 22.3.2 Heat Transfer Mechanism in PCM 22.3.3 Latent Heat Capacity 22.4 Fabrication of Double Slope Solar Still 22.5 Methodology 22.6 Results and Discussion 22.6.1 Experimental Comparisons 22.7 Conclusion References 23 A Comparative Study for Machine Learning Models in Retail Demand Forecasting 23.1 Introduction 23.2 Literature Review 23.3 Methodology 23.3.1 Random Forest 23.3.2 Gradient Boosting 23.3.3 XGBoost 23.4 Case Discussion 23.4.1 Data Collection 23.4.2 Data Preparation 23.4.3 Metrics 23.5 Performance 23.6 Conclusion References 24 Optimal Path Planning with Smart Energy Management Techniques Using Dijkstra’s Algorithm 24.1 Introduction 24.2 Classical Dijkstra’s Algorithm 24.2.1 Dijkstra’s Algorithm Steps 24.2.2 Pseudo Code of Dijkstra’s Algorithm 24.3 Proposed Methodology 24.3.1 Mathematical Calculations 24.4 Result and Discussions 24.5 Conclusions References 25 A Modified Teaching-Learning-Based Optimization Algorithm for Traveling Salesman Problem 25.1 Introduction 25.2 Proposed Modified Teaching-Learning-Based Optimization Algorithm (mTLBO) 25.2.1 Representation 25.2.2 Initialization 25.2.3 Boltzmann Selection 25.2.4 Upgraded Teaching Phase 25.2.5 Interactive Group-Based Learning 25.3 Computational Experiment 25.3.1 Results Using mTLBO, TLBO, GA 25.3.2 Supremacy of mTLBO Through ANOVA 25.4 Conclusion and Future Scope References 26 Disguise Face Classification Using EfficientNet Deep Learning 26.1 Introduction 26.2 Related Work 26.3 Methodology 26.3.1 Transfer Learning Approach 26.3.2 EfficientNet Architecture 26.3.3 Proposed Method 26.4 Experiment Results and Discussion 26.4.1 Data set 26.4.2 Experiments and Results 26.5 Conclusion References 27 NOMA—Non-offensive Messaging Application Framework Using Machine Learning Technique for Online Communication Through Social Media 27.1 Introduction 27.1.1 Our Contribution 27.1.2 Outline of the Paper 27.2 Related Work 27.3 Proposed Work 27.4 Experimental Result Analysis and Evaluation 27.4.1 Selection of Classifier and Its Performance 27.4.2 NOMA-Implementation Framework 27.5 Conclusions and Future Scope References 28 Automated Room Occupancy Prediction Using Fuzzy-Rough Set Theory-Based Supervised Learning 28.1 Introduction 28.2 Algorithm Details 28.3 Literature Survey 28.4 Data Description 28.5 Experiments and Results 28.5.1 Evaluation Metrics 28.5.2 Result 28.6 Conclusion References 29 SMS Spam Detection Using Deep Learning Approach 29.1 Introduction 29.2 Literature Survey 29.3 Research Methodology 29.3.1 Dataset 29.3.2 Data Preprocessing 29.3.3 Word Embedding Techniques 29.3.4 Machine Learning Techniques 29.3.5 Deep Learning Techniques 29.4 Experimentation and Results 29.4.1 Evaluation Metrics 29.4.2 Results of Experiments with Machine Learning Algorithms 29.4.3 Results of Experiments with Deep Learning Algorithms 29.4.4 Comparison with Previous Work 29.4.5 Conclusion References 30 Classification of Denial-of-Service Attacks in IoT Networks Using AlexNet 30.1 Introduction 30.2 Literature Survey 30.3 Proposed System 30.4 Results and Discussions 30.4.1 The Dataset 30.5 Conclusion References 31 Graded Classification of Liver Cirrhosis Using Machine Learning Algorithms on a Highly Unbalanced Dataset 31.1 Introduction 31.2 Related Work 31.3 Proposed Work 31.3.1 Dataset Acquisition 31.3.2 Feature Engineering 31.3.3 Model Training 31.3.4 Ensemble/Stacking 31.4 Conclusion References 32 MultiStrategy Algorithmic Trader 32.1 Introduction 32.2 Literature Survey and Related Work 32.2.1 Key Terminologies 32.2.2 Existing Systems 32.2.3 Drawbacks of Existing Technology 32.3 Proposed System 32.3.1 Functional Requirements 32.3.2 Key Components 32.3.3 High Level Design 32.3.4 Methodology 32.3.5 Key Features 32.4 Conclusion References 33 Gait Feature Processing for Automated Human Gender Recognition 33.1 Introduction 33.2 Literature Review 33.3 Data Description 33.4 Data Pre-processing 33.5 Experiments and Results 33.5.1 Experiment 1 33.5.2 Experiment 2 33.5.3 Experiment 3 33.5.4 Experiment 4 33.6 Conclusion References Author Index