Emerging Trends in Expert Applications and Security : Proceedings of 2nd ICETEAS 2023, Volume 2

The book covers current developments in the field of computer system security using cryptographic algorithms and other security schemes for system as well as cloud. The proceedings compile the selected research papers presented at ICE-TEAS 2023 Conference held at Jaipur Engineering College and Research Centre, Jaipur, India, during February 17–19, 2023. The book focuses on expert applications and artificial intelligence; information and application security; advanced computing; multimedia applications in forensics, security, and intelligence; and advances in web technologies: implementation and security issues. Preface Acknowledgements About This Book Contents About the Editors Deep Learning Based Approach in Automatic Microscopic Bacterial Image Classification 1 Introduction 2 Related Work 3 Methods and Material 3.1 Convolutional Neural Network 3.2 Transfer Learning 3.3 Dataset and Pre-Processing 4 Experimentation and Results 5 Conclusion and Future Scope References Deep Learning-Based Recognition and Classification of Different Network Attack Patterns in IoT Devices 1 Introduction 2 Literature Survey 3 Proposed Work 4 Results and Analysis 5 Conclusion References Lipid Concentration Effects on Blood Flow Through Stenosed Tube 1 Introduction 2 Formulation of the Problem 3 Solution of the Problem 4 Graphical Results and Discussions 5 Conclusion References Single-Phase Bi-Directional AC/DC Converters for Fast DC Bus Voltage Controller 1 Introduction 2 Objectives of the Study 2.1 Voltage Control Techniques 2.2 Phase Control Technique 2.3 On-off Control Technique 3 Existing System 4 Proposed Method 4.1 Operation 4.2 Control System 5 Results and Discussion 6 Conclusion and Future Enhancement References Padam Persona—Personalizing Text to Image Using Artificial Intelligence 1 Introduction 1.1 Objective 1.2 Project Description 2 System Analysis 2.1 Existing System 2.2 Proposed System 2.3 Technologies Used 3 Related Works 4 System Design 4.1 Architecture Diagram 4.2 System Specification 5 System Implementation 5.1 List of Modules 5.2 Module Description 6 Conclusion and Future Work 6.1 Conclusion 6.2 Future Enhancements References Autodubs: Translating and Dubbing Videos 1 Introduction 2 Related Work 3 System Design 4 Methodology 5 System Requirements 6 Algorithm 7 Conclusion and Future Enhancements References Deep Neural Based Learning of EEG Features Using Spatial, Temporal and Spectral Dimensions Across Different Cognitive Workload of Human Brain: Dimensions, Methodologies, Research Challenges and Future Scope 1 Introduction 1.1 Deep Learning and EEG Signals 2 Literature Review 3 Experimental Setup 4 Dimensions 5 Proposed Methodology 6 Discussion 7 Conclusion 8 Major Research Challenges, Issues and Future Scope References A Framework for Classification of Nematodes Species Using Deep Learning 1 Introduction 2 Related Work 3 Material and Proposed Method 3.1 Description of Dataset 3.2 Proposed Method 4 Experiment Results 5 Conclusion and Future Scope References CAD Model for Biomedical Image Processing for Digital Assistance 1 Introduction 2 Literature Review 3 Proposed CNN Model for COVID X-Ray Detection 3.1 Convolutional Neural Network (CNN) 4 Dataset Standardization 5 Implementation of Proposed CNN Model 6 Experimental Results 7 Conclusion References Natural Language Processing Workload Optimization Using Container Based Deployment 1 Introduction 1.1 Masked LM (MLM) 1.2 Next Sentence Prediction (NSP) 1.3 NLP and GLUE 2 Literature Review 3 Dataset Characteristics 4 Methodology 5 Implementation 6 Experimental Results 7 Conclusion References NDVI Indicator Based Land Use/Land Cover Change Analysis Using Machine Learning and Geospatial Techniques at Rupnarayan River Basin, West Bengal, India 1 Introduction 2 Study Area 3 Materials and Methods 3.1 Data Collection 3.2 Applied Methodology 4 Result and Discussion 5 Conclusion References Prediction of Anemia Using Naïve-Bayes Classification Algorithm in Machine Learning 1 Introduction 2 Literature Work and Related Study 3 Objective of Work 3.1 Naïve Bayes Classification Algorithm 3.2 Means of Judgment 3.3 The Matrix of Confusion 3.4 Dataset 4 Methodology 5 Results and Observations 6 Conclusion References A Methodology for the Energy Aware Clustering and Aggregate Node Rotation with Sink Relocation in MANET 1 Introduction 2 Protocols 3 EAC-ASR 4 Simulation and Results 5 Problem Formulation and Proposed Solution 6 Result 7 Conclusion and Future Work References Differential Evolution Algorithm-Based Optimization of Networked Microgrids 1 Introduction 2 Problem Description 2.1 Objective Function 2.2 Networked Microgrid 2.3 Modes of Operation 3 Contribution of This System 3.1 Objective Function 3.2 Constraint 4 Proposed Methodology 4.1 Proposed Implementation Approach 4.2 Assumption Made 4.3 Proposed Method 5 Results and Discussions 5.1 CASE 1: Normal Mode 5.2 CASE 2: Single Fault Curative Mode 5.3 CASE 3: Multiple Faults Curative Mode 5.4 CASE 4: Forty MG’s Curative Mode 5.5 Chi-Square Test 6 Conclusion References OBD II-Based Performance Analysis Based on Fuel Usage of Vehicles 1 Introduction 2 Related Works 3 Experiments and Results 4 Conclusion References Performance Analysis of Routing Protocols for WSN-Assisted IoT Networks 1 Introduction 2 Routing Challenges in WSN 3 Literature Survey 4 Results 5 Conclusion References A Novel Approach Towards Automated Disease Predictor System Using Machine Learning Algorithms 1 Introduction 2 Literature Survey 3 Methodology 4 Results 5 Conclusion References Measure to Improve the Prediction Accuracy of a Convolutional Neural Network Model for Brain Tumor Detection 1 Introduction 2 Classification 2.1 Working of Convolutional Neural Network for Brain Tumor Prediction 2.2 Training of a Convolutional Neural Network Model 3 Normalization 3.1 Methods of Normalization 3.2 Types of Standardization 4 Conclusion References Improve Short-Term Stock Price Forecasts Through Deep Learning Algorithms 1 Introduction 1.1 Attention Layer Mechanism 2 Literature Review 3 Methodology 4 Algorithm Used 5 Results 6 Conclusion References Multistage Classification of Retinal Images for Prediction of Diabetic Retinopathy-Based Deep Learning Model 1 Introduction 2 Related Work 3 Methodology 3.1 Data Source 3.2 Deep Learning Model for Image Classification 3.3 Proposed Deep Learning Model 3.4 Implementation of Proposed Model 4 Results and Discussion 5 Conclusion and Future Work References Crop Disease Detection and Classification Using Deep Learning-Based Classifier Algorithm 1 Introduction 2 Literature Review 3 Proposed Algorithm 3.1 Diseases 3.2 Data Pre-Processing 3.3 Data Processing 4 Implementation of Proposed Algorithm and Result 4.1 Accuracy 4.2 Result 5 Conclusion References Comparison and Analysis of Container Placement Algorithms in Cloud Data Center 1 Introduction 2 Literature Review 3 Problem Statement 4 Methodology 4.1 First Fit (FF) Container Placement Algorithm 4.2 First Fit Decreasing (FFD) Container Placement Algorithm 4.3 Random Container Placement Algorithm 4.4 Least Full (LF) Container Placement Algorithm 4.5 Most Full (MF) Container Placement Algorithm 5 Results 6 Future Work and Conclusion References Evaluation of Convolution Neural Network Models Using Clinical Datasets 1 Introduction 2 Literature Review 3 Methodology 3.1 Convolution Neural Network (CNN) 3.2 Steps to Involve to Develop a Classifier 4 Result and Discussion 5 Conclusion References Milk Quality Prediction Using Supervised Machine Learning Technique 1 Introduction 2 Related Works 3 Proposed System 4 System Architecture 5 Implementation 6 System Output 7 Bar Chart Representation and Performance Analysis 8 Conclusion References Evaluation of Machine Learning Techniques to Diagnose Polycystic Ovary Syndrome Using Kaggle Dataset 1 Introduction 2 Literature Review 3 Methodology 3.1 Smote 3.2 Correlation Based Feature Selection 3.3 Support Vector Machine 3.4 Random Forest 3.5 Dataset Description 3.6 Steps Involved to Develop a Classifier 4 Result and Discussion 5 Conclusion References Specifying the Virtual Reality Approach in Mobile Gaming Using Unity Game Engine 1 Introduction 2 Research Methodology 2.1 Use Case Diagram Model 2.2 Class Diagram Design of Hypercasual Infinity 3 Working Process of Hypercasual Infinity 4 Implementation of Hypercasual Infinity 5 Conclusion References Phishing Attack Detection Using Machine Learning 1 Introduction 2 Related Works 3 System Architecture 3.1 Proposed Algorithm 3.2 Existing System 4 List of Modules 4.1 Module 1: Detection Technique 4.2 Module 2: Phishing Websites Features 4.3 Module 3: Data Set 5 Implementation 5.1 Input Design 5.2 Objectives 5.3 Output Design 5.4 Data Flow Diagram 5.5 Uml Diagrams 5.6 Goals 5.7 Use Case Diagram 5.8 Class Diagram 5.9 Sequence Diagram 5.10 Activity Diagram 6 Conclusions and Future Work References Facial Expression Based Smart Music Player 1 Introduction 2 Literature Survey 3 System Architecture 3.1 Architecture 3.2 Flowchart 3.3 Module Mapping 4 Methodology 4.1 Image Dataset 4.2 Song Dataset 5 Modules 5.1 Face Recognition Module 5.2 Emotion Detection Module 5.3 Music Recommendation Module 6 Hardware Requirements 7 Software Requirements 8 Result and Discussion 9 Conclusion References Dynamic E-Authentication Attendance System Using QR Code and OTP 1 Introduction 2 Literature Survey 3 System Architecture 4 Modules 4.1 QR Code Generation 4.2 One-Time Password (OTP) 4.3 Student 4.4 Staff 5 System Requirements 6 Use case Diagram 7 Activity Diagram 8 Software and Technologies Description 8.1 Netbeans 9 Conclusion 10 Future Enhancement References An Investigative Approach of Context in Internet of Behaviours (IoB) 1 Introduction 1.1 Motivations 2 Related Work on Context 2.1 Parameter of Context 2.2 Context in IoT 2.3 Context Preferences 2.4 Internet of Behaviours (IoB) 2.5 Our Classification of “Context” 3 Challenges in Context Awareness 4 Our Contribution—Three Layer of Context Taxonomy 5 Investigative Approached 6 Context Sensing Algorithms 7 Conclusion 8 Future Work References Proposed Convolutional Neural Network with OTSU Thresholding for Accurate Classification of Handwritten Digits 1 Introduction 2 Literature Review 3 Dataset Description 4 OTSU Binarization 5 Proposed CNN Model 6 Results and Discussion 7 Conclusion References Impact of Different Batch Sizes on Transfer Learning Models for Multi-class Classification of Alzheimer’s Disease 1 Introduction 2 Literature 2.1 Alzheimer’s Disease Prediction Using Pre-trained CNN Models 3 Dataset 4 Proposed Methodology 5 Experimental Results 5.1 The Training Performance Comparison for Different Models 5.2 State-of-Art Comparison 6 Conclusion References VAARTA: A Secure Chatting Application Using Firebase 1 Introduction 2 Literature Survey 2.1 Existing Chat Application System 2.2 Proposed Chat Application System 3 Methodology 3.1 Steps Taken for Developing VAARTA 3.2 Design Model 4 Results 4.1 VAARTA Application Interface 5 Comparative Analysis 6 Conclusion and Future Scope References Chicken Quality Evaluation Using Deep Learning 1 Introduction 2 Related Work 3 Materials and Methods 3.1 Dataset 3.2 The Proposed Method 3.3 Pre-trained Models 4 Results and Discussion 5 Conclusion References Deep Learning Based Model for Multi-classification of Flower Images 1 Introduction 2 Literature Review 3 Dataset Description 3.1 Dataset Standardization 3.2 Class Imbalance in Image Dataset 3.3 Impact of Class Imbalance on Loss Function 4 Model Methodology 5 Experimental Results 6 Conclusion References Image Analysis Aided Freshness Classification of Pool Barb Fish (Puntius sophore) 1 Introduction 2 Literature Review 3 Methodology 3.1 Our Dataset 3.2 Comparative Analysis of Pretrained Models to be Used for Transfer Learning 3.3 Our Proposed Model 4 Results and Conclusion References Coating of Graphene on ITO Via Cyclic Voltammetry 1 Introduction 2 Materials and Methods 3 Research and Discussions 4 Summary and Outlook References A Deep Learning-Based InceptionResNet V2 Model for Cassava Leaf Disease Detection 1 Introduction 2 Literature 3 Dataset Description 3.1 Data Pre-processing 3.2 Data Normalization 3.3 Data Augmentation 4 Proposed Model Summary 5 Results 5.1 Accuracy and Loss Plots 5.2 Analysis Based on the Characteristics of the Confusion Matrix 6 Conclusion References Implementation of SCADA Algorithm Using FPGA for Industry 4.0 Applications 1 Introduction 2 Related Work 3 Utilization of Different Processors for SCADA System 4 Comparative Analysis of Different Processors for SCADA System 5 Conclusion References A Survey Based on Privacy-Preserving Over Health Care Data Analysis 1 Introduction 2 Related Works 3 Protecting Health Data Techniques 4 Recent Trends in Health Data Privacy 5 Discussions and Recommendations 6 Conclusions References Design of a Robot for Detection of Human Beings Amidst Fire and Wreckage 1 Introduction 1.1 Block Diagram 1.2 Specification of Various Input and Output Devices 2 Implementation of the Circuit 3 Programming the PIC Microcontroller 4 Conclusion References To Build 3D Indoor Navigation Application for Museum Visitors 1 Introduction 2 Background and Literature Review 3 Research Method 3.1 Blender 3.2 Unity 4 Conclusion and Future Scope 4.1 Conclusion 4.2 Future Scope References Technical Analysis Based on Different Dispatch Strategies of a Smart Off-Grid Hybrid Power Plant Using IoT for SRM IST Delhi-NCR Campus 1 Introduction 2 Methodology 2.1 Dispatch Strategy 3 HPS Components 3.1 Solar PV Array 3.2 Diesel Generator 3.3 Battery Bank 3.4 Converter 4 HPS Economic Parameters 5 HPS Economic Parameters 6 Results and Discussion 6.1 Pollutant Emission 7 Conclusion References Novel Two-Bit Magnitude Comparators for IOT Applications 1 Introduction 2 Literature Review 3 Proposed Designs 3.1 Proposed Design I of Two-Bit Magnitude Comparator 3.2 Proposed Design II of Two-Bit Magnitude Comparator 3.3 Proposed Design III of Two-Bit Magnitude Comparator 4 Simulation Results and Discussion 5 Conclusion References Machine Translation Based on Computational Linguistics of Sanskrit: A Review 1 Introduction 2 Sanskrit and NLP 2.1 Features of Sanskrit 3 Sanskrit and Machine Translation 3.1 Approaches of Machine Translation 4 Translators Related To Sanskrit 5 Conclusion References SVM–Feature Elimination-Based Alzheimer Disease Diagnosis 1 Introduction 2 Problem Statement 3 Result 4 Conclusion References Author Index