Advances in Data and Information Sciences. Proceedings of ICDIS 2022

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ICDIS-2022 Organizing Committee Preface Contents Editors and Contributors A Review on Automatic Image Forgery Classification Using Advanced Deep Learning Techniques 1 Introduction 2 Related Work 3 Research Gaps 4 Features and Challenges of Image Forgery Techniques 4.1 Dataset-Based Comparison 5 Conclusion References Scientific Exploration of Music Recommendation System Using Facial Expressions 1 Introduction 2 Literature Survey 3 Analysis on Different Issues and Used Methodology 4 Result Comparison 5 Conclusion References Live Hotspots Visualization and Degradation Analysis of Solar Photovoltaic Panels Using QR Code and Thermal Image Processing 1 Introduction 2 Formation of Hotspots in Solar Photovoltaic Panel 3 Significance of QR Code in Live Visualization of Hotspots 4 Applications of Thermal Imaging in Hotspots Analysis Using Digital Image Processing 5 Experimental Work for Live Visualization of Hotspots Using QR Code and Degradation Analysis Using Thermal Image Processing 6 Conclusion References Fake News, Rumours and Misinformation: Characterization, Causes and Detection Techniques—A Survey 1 Introduction 2 Characterization of Fake News 2.1 Defining Fake News 2.2 Defining Rumours 2.3 Defining Misinformation 3 Why Do People Create Rumours? 4 Reasons for Spreading the Fake News and Rumours 5 Detection Techniques 6 Literature Review 7 Conclusion References Comparative Analysis of Ensemble Models for Software Effort Estimation 1 Introduction 2 Related Work 3 Research Methodology 3.1 Dataset Used 3.2 Base Learners 3.3 Evaluation Criteria 4 Result Analysis 5 Threat to Validity 6 Conclusion References Improving Security in Cloud Data Using Paillier Homomorphic Encryption System 1 Introduction 2 Related Work 2.1 Homomorphic Encryption (HE) 2.2 Paillier Algorithm 3 Proposed System 3.1 Steps Followed in Our Work 3.2 Randomistics Algorithm 3.3 Block Division for the Randomized Algorithm 4 Result and Discussion 5 Conclusion References Intelligent System for Detecting Email Spam Messages Using GRU 1 Introduction 2 Literature Survey 3 Proposed System 3.1 Data Preprocessing 4 Gated Recurrent Unit 5 Performance and Result Analysis 6 Conclusion References A Critical Analysis of Requirement Management in Agile Development 1 Introduction 2 Requirement Management (RM) in Agile Methodologies 2.1 Requirement Prioritization (RP) in Agile 2.2 Uses of Agile Requirement Engineering (RE) 3 Comparative Analysis 3.1 Requirement Management (RM) Steps Pursued in Various Agile Software Methodology 3.2 Quality Requirement (QR) Management Practices Relying on Agile Environment 4 Requirement Management (RM) Challenges/Issues in Agile Technique 5 Conclusion 6 Discussion References Authenticate Medical Data Using SWT and PCA-Based Watermarking Technique 1 Introduction 1.1 Telemedicine Watermarking 2 Literature Survey 3 Methods 3.1 Stationary Wavelet Transform (SWT) 3.2 Singular Value Decomposition (SVD) 3.3 Lempel–Ziv-Welch (LZW) Compression 3.4 Principal Component Analysis (PCA) 4 Proposed Methodology 4.1 Watermark Embedding 4.2 Watermark Extraction 5 Experimental Results and Discussions 6 Conclusion 7 Sources of Images References Bounds on Learnability of Neural Networks 1 Introduction 1.1 Why Is It Important to Understand the Bounds on Neural Networks? 2 Expressive Power of Neural Networks 3 Probably Approximately Correct (PAC) Learning 4 Vapnik–Chervonenkis Dimension 5 Limitations of Various Theoretical Bounds 6 Conclusion References A Comprehensive Review of IoT-Based IDS Using Intelligence Technique 1 Introduction 2 Review of Intelligence Methods for IoT Intrusions 3 Security Issues and Challenges 4 Result and Discussion 5 Research Findings 6 Conclusion References Machine Learning Model to Forecast Concrete Compressive Strength 1 Introduction 2 Literature Review 3 Method of Study 3.1 Artificial Neural Network (ANN) 4 Proposed Work 4.1 Dataset 4.2 Modeling of ANN 5 Results and Discussions 6 Novelty of the Research 7 Conclusion References Fake News Detection on Twitter 1 Introduction 2 Motivation 3 Related Work 4 Proposed Approach 5 Modules Split-up 5.1 Data Collection Module 5.2 Text Transformation Module 5.3 Training and Testing Module 5.4 Prediction Module 6 About Dataset 7 Result 8 Conclusion and Future Work References BiCropRec: A Bi-Classifier Approach for Crop Recommendation Based on Inclusion of Semantic Intelligence and Topic Modelling 1 Introduction 2 Related Work 3 Proposed System Architecture 4 Implementation and Performance Evaluation 5 Conclusion References A Review on Detection of Diabetic Retinopathy 1 Introduction 2 Literature Survey 3 Comparative Study 4 Machine Learning Versus Deep Learning 5 Applications of Diabetic Retinopathy 6 Conclusion and Future Enhancements References Detection of COVID Using Deep Learning: A Review 1 Introduction 2 Related Works 3 Methodology/Suggested Theoretical Model 3.1 Convolutional Neural Networks (CNN) 3.2 What Are LSTM Networks and How Do They Work? 3.3 The Overall Model Suggested for COVID-19 Detection 4 Conclusion References Phase Segmenting Process in Ultra-High Carbon Steels Using Deep Vision Approach 1 Introduction 2 Literature Survey 3 Methodology 3.1 UHCS Microstructure Image Segmentation 3.2 Otsu Thresholding 3.3 Removing Edge Touching Grains and Dilation 3.4 Identifying Foreground and Background 3.5 Labeling Using Markers and Applying Watershed Technique 4 Results and Discussions 5 Conclusion References Deep Learning Architectures Applied on Arabic-Adapted Scripts: A Review 1 Introduction 2 Deep Learning Applied on Arabic Scripts 2.1 Convolutional Neural Networks (CNNs) 2.2 Connectionist Temporal Classification (CTC) with LSTM 2.3 Attention Mechanism and Reinforcement Learning with LSTM 2.4 Unsupervised Methods 3 Deep Learning Applied on Urdu 3.1 Convolutional Neural Networks with MDLSTM 3.2 BLSTM with MDLSTM 4 Deep Learning Applied on Pashto 4.1 MDLSTM with CTC 5 Conclusion References A Novel Encryption Technique for Security of IoT-Based Educational Portals 1 Introduction 1.1 IoT 1.2 Applications of IoT 1.3 Online Education System 1.4 Online Education Resources 1.5 Online Education Future 2 Literature Review 3 Problem Statement 3.1 Research Objectives 4 Proposed Work 4.1 Internal Working of Proposed Work 5 Result and Discussion 5.1 Simulation for Time/Error/Packet Size 5.2 MATLAB Simulation for Comparative Analysis of Security 6 Conclusion 7 Future Scope References Graph Database System for COVID-19 Vaccine Supply 1 Introduction 2 Literature Survey 3 System Methodology 4 Results and Discussion 5 Conclusion and Future Work References Machine Learning-Based Algorithms for Prediction of Chronic Kidney Disease: A Review 1 Introduction 2 Literature Review 3 Source 3.1 Proposed Model 3.2 Data Input 3.3 Data Pre-processing 3.4 Feature Selection 3.5 Classification 3.6 Cross-Validation 3.7 Performance Metric 3.8 Optimal Model 4 Conclusion References Implementing and Analysis of RNN LSTM Model for Stock Market Prediction 1 Introduction 2 Background 2.1 Stock Market Prediction (SMP) 2.2 SMP Techniques 2.3 Literature Review 3 Proposed and Implemented Model for SMP 4 Results 5 Conclusion References Real-Time Surveillance Video Analytics: A Survey on the Computing Infrastructures 1 Introduction 2 Automated Video Surveillance Systems Frameworks 2.1 Cloud Computing-Based Surveillance System 2.2 Fog Computing-Based Surveillance System 2.3 Edge Computing-Based Surveillance System 2.4 The Edge-Fog-Cloud-IoT Architecture 3 Security Requirements and Metrics in Surveillance 3.1 Video Path Uptime (VPU) 3.2 Video Retention Compliance (VRC) 4 Conclusion References Punjabi Indian Sign Language Dictionary Using Synthetic Animation 1 Introduction 2 Hamburg Notation System (HamNoSys) 3 Related Work 4 Results and Discussion 5 Conclusion References Cloud Service Anomaly Traffic Detection Using Random Forest 1 Introduction 2 Literature Review 3 Proposed System 3.1 Data Pre-processing 3.2 Clustering 3.3 Classification 4 Experimental Results 5 Conclusion References IoTGMRFM: Internet of Things-Based Variable-Wise Anomaly Detection 1 Introduction 2 System Design 2.1 Problem Definition 2.2 Gaussian Markov Random Field Mixtures 2.3 IoTGMRFM Algorithm 2.4 Data Generation 3 Results 4 Conclusion References MPTR: A Metadata-Driven Prospective Tag Recommendation Model Based on Integrative Classification 1 Introduction 2 Related Works 3 Proposed Architecture 4 Implementation and Performance Evaluation 5 Conclusion References A Review of Content-Based Image Retrieval Based on Hybrid Feature Extraction Techniques 1 Introduction 2 Related Works 3 Research Gaps 3.1 The Difficulty of Retrieving the Best Possible Results for Complicated Queries 3.2 Problems in Finding Information Quickly at a Very Broad Scale 3.3 The Challenges of Interpretable Results 4 Features and Challenges of State-of-the-Art Content-Based Image Retrieval Methods 5 Dataset-Based Comparison 6 Conclusion References A Survey on Kubernetes Policy Report Custom Resource Definition Kube-Bench Adapter 1 Introduction 2 Background 2.1 Kubernetes Policy WG 2.2 Policy Report CRD 2.3 Kube-Bench 3 Literature Survey 3.1 Cloud Native 3.2 Containerization 3.3 Microservices, Containers, and Their Management via Kubernetes 3.4 Policy Custom Resource Definition and Its Adaptor 4 Discussion 5 Conclusion References Fake News Detection Using Machine Learning 1 Introduction 2 Independent and Dependent Variables 3 Related Work 4 Research Methodology 5 Result and Discussion 6 Result and Discussion References Reliable Incorporation of Robust Fractional-Order Nonlinear PID Controller into Integrated Power System Using Gray Wolf Optimization Method 1 Introduction and Literature Surveys 2 Plant Mathematical Modeling 3 Proposed Controller Design and Tuning Using GWO 4 Simulation Results and Analysis for Trajectory Tracking Performance 5 Conclusion References Novel Exotic Projected Quantum Kernel Features-Enabled Neural Network for Handwritten Digit Image Classification 1 Introduction 2 Literature Review 3 Our Contributions 4 Implementation Setup and Results 5 Conclusion References Deep Learning Applications to Detect Alzheimer’s—A Review 1 Introduction 2 Data and Preprocessing Techniques 2.1 Open Source Datasets 2.2 Preprocessing 3 Related Work 4 Discussions References Oversampled Deep Fully Connected Neural Network Towards Improving Classifier Performance for Fraud Detection 1 Introduction 2 Literature Review 3 Our Contributions 4 Implementation Setup 5 Conclusion References Applying the Stimulus Organism Response Framework to Explain Student’s Academic Self-concept in Online Learning During the COVID-19 Pandemic 1 Introduction 2 Related Work, Hypotheses, and Research Model 2.1 Stimulus Organism Response (SOR) Framework 2.2 Academic Self-concept (ASC) 2.3 The Dimensions of Student Engagement and ASC 2.4 Online Learning Quality (System Quality) and Student Engagement 3 Methodology and Data Collection 4 Data Analysis and Results 5 Discussion and Implications of the Result 6 Conclusion and Future Work References A Deep Learning Model for Detecting Suicide Threat Posts in Social Platforms 1 Introduction 2 Literature Review 3 Methods 3.1 Dataset 3.2 Data Annotation 3.3 Proposed Model 3.4 Model Usage 3.5 Reddit API 4 Results 5 Discussion 6 Conclusion 7 Source of Data References Conducting Analysis on Diabetes Patient Data Using Various Machine Learning Models and Determine Their Accuracy 1 Introduction 2 Literature Review 3 Methodology 3.1 Hospital Management System 3.2 Machine Learning Model Selection 4 Results and Discussion 5 Conclusion References Multi-class Classification of COVID-19 in Chest X-Ray Using Deep Convolutional Neural Networks 1 Introduction 2 Related Work 3 Data Set Description 4 Methodology 4.1 Preprocessing 4.2 Deep Learning Models 4.3 Metrics for Comparison 5 Results Discussion 6 Conclusion and Future Scope 7 Sources of the Figures References Empirical Evaluation of Deep Learning Models with Local Binary Pattern for COVID-19 Detection 1 Introduction 2 Related Work 3 Data Set Description 4 Methodology 4.1 Steps in Proposed System 5 Results Discussions 5.1 Comparative Analysis 6 Conclusion and Future Scope References 5G-Enabled Smart Devices and Multi-access Edge Computing for Improving the Healthcare System 1 Introduction 2 Related Work 3 IoT and Its Uses in Healthcare 4 Healthcare Monitoring System 4.1 Edge Computing 4.2 IoMT-Edge 4.3 Smart Wearable Devices 4.4 Edge Central Controller 5 5G-Enabled Edge Computing for IoMT 6 Discussion and Future Work 7 Conclusion References Support System for Chronic Kidney Disease Prediction Using Fuzzy Logic and Feature Selection 1 Introduction 2 Related Work 3 Proposed Methodology 4 Data Preprocessing 4.1 CKD Dataset 5 Feature Selection 5.1 Filter FS 5.2 Wrapper FS 5.3 Embedded FS 5.4 Algorithm 5.5 Fuzzy Rules 6 Classification Performance 6.1 Precision and Recall 6.2 F-Measure 7 Experimental Setup and Procedure 8 Results and Discussion 9 Conclusion References Katkada: E-Application for Business 1 Introduction 2 Literature Works 3 Proposed System 4 Methodologies 5 Input and Output Model 6 Selenium Testing Tool 7 Types of Testing 8 Extent Reports 9 Conclusion References An Effective and Secured Routing Protocol Based on Cluster Head in WSN 1 Introduction 2 Proposed Methodology 2.1 Cluster Formation 2.2 Cluster Head Selection Using Enhanced Grey Wolf Optimizer 2.3 Attack Detection Using Secret Key Comparison 2.4 Optimized Route Discovery 3 Result and Discussion 4 Conclusion and Future Work References Forming Industrial Clusters in Hanoi in the Context of Industry 4.0 and Technological Issues 1 Introduction 2 Literature Review 3 Methodology 4 Main Findings 4.1 Overview of Hanoi Industrial Clusters 4.2 Technological Issues During Industrial Clusters Development 5 Discussion and Conclusion References Message Queuing Telemetry Transport (MQTT) Protocol-Based Monitoring and Segregation of Wastes in Smart Cities Using IOT 1 Introduction 2 Segregation Part 2.1 Arduino UNO 2.2 Arduino IDE 2.3 Moisture Sensor 2.4 DC Motor 2.5 Servo Motor 3 Tracking Segment 3.1 NodeMCU 3.2 Ultrasonic Sensor 3.3 MQTT 4 Conclusion References Computerized Mechanism to Automate the Detection of Brain Tumor by Analyzing CT Scan 1 Introduction 2 Literature Survey 3 Materials and Method 4 Results and Observations 5 Conclusion References Design of Neural Network Algorithm Controller Using Simulink for Actuator of Dynamic Robot Systems 1 Introduction 2 Literature Review 2.1 Neural Network Working Strategy 3 Proposed System 3.1 Neural Network Predictive Controller in Simulink Design 3.2 Neural Network Plant Model 3.3 Predictive Control 3.4 Methodology 3.5 Actuator 3.6 Designing a Neural Network Model Controller 4 Result Analysis 5 Conclusion and Future Scope References Digital and Technological Solutions for Vietnam Tourism Services Development 1 Introduction 2 Literature Review 3 Methodology 4 Main Findings 4.1 IT Application in Tourism Management and Discussion 4.2 Other Technology Applications in Tourism the Country 5 Discussion and Conclusion 6 Limitation of Research References Effects of IT Software and Internet Data on Net Accounting Profit—A Case of Coteccons in Vietnam 1 Introduction 2 Literature Review 3 Methodology and Data 4 Main Results 4.1 Process of Using IT Software Eview for Regression 5 Discussion and Conclusion References An Efficient Recommendation Generation Using Extended Jaccard Similarity 1 Introduction 2 Related Work 2.1 Expectation–Maximization Algorithm 2.2 Performance of the Proposed Model 3 Experimentation and Results 3.1 Data set 4 Conclusion References Effective Security Algorithms for Big Data Clouds 1 Introduction 2 Related Work 3 Proposed Work 4 Merits of Proposed Cryptographic Algorithms 4.1 An Analysis of Encryption and Decryption Times 5 Conclusion and Future Work References Recent Trends for Practicing Steganography Using Audio as Carrier: A Study 1 Introduction 2 Related Work 3 Evaluation Parameters 4 Comparative Analysis 5 Conclusion References DNA Sequence in Cryptography: A Study 1 Introduction 2 Related Work 3 Comparative Analysis 4 Conclusion References Author Index