Recent Trends in Intelligence Enabled Research: Selected Papers of Fourth Doctoral Symposium, DoSIER 2022

Description

This book gathers extended versions of papers presented at DoSIER 2022 (Fourth Doctoral Symposium on Intelligence Enabled Research, held at Cooch Behar Government Engineering College, West Bengal, India, during 22–23 December 2022). The papers address the rapidly expanding research area of computational intelligence, which, no longer limited to specific computational fields, has since made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design, to name but a few. Presenting chapters written by experts active in these areas, the book offers a valuable reference guide for researchers and industrial practitioners alike and inspires future studies. DoSIER 2022 Symposium Technical Committee Preface Contents About the Editors Rule Extraction Methods from Neural Networks 1 Introduction 2 A Short Survey to Rule Extraction Algorithms 3 Extraction of Fuzzy Production Rules Based on Mountain Clustering 4 Rule Extraction Algorithm Based on Decision Trees 4.1 Rule Extraction Algorithm 4.2 Rule Extraction from ANN Based on the Decision Trees 5 Discussion References Quality Analysis of the Ganges River Water Utilizing Machine Learning Technologies 1 Introduction 2 Related Works 3 Proposed Method 4 Experimental Results 5 Conclusion References Eye-Tracking Movements—A Comparative Study 1 Introduction 2 Related Works/Literature Review 2.1 Eye-Tracking Features 2.2 Machine Learning and Deep Neural Network in Eye Tracking 2.3 Uses of Eye Tracking 3 Objectives 4 Methodology 5 Results and Discussion 6 Conclusion and Future Scope References Cybersecurity Imminent Threats with Solutions in Higher Education 1 Introduction 2 Background of Study 3 Proposed Methodology 4 The Vulnerability of Higher Education 5 Techniques How Attackers Use to Exploit Vulnerabilities 5.1 SQL Injection 5.2 Phishing 6 Prevention Ways in Better Code and Vigilance 6.1 Prepared Statement 6.2 Database Procedures 6.3 Input Validation 6.4 Preventing Phishing via Training and Heightened Suspicion 6.5 Email Filtration 6.6 Integrating Deep Neural Network in Threatened Areas 7 The Keys to a Secure Future 8 Discussions 9 Recommendations 10 Future Works 11 Conclusion References A Two-Level Fuzzy Model for Filtering Signals of the Automatic Dependent Surveillance-Broadcast 1 Introduction 2 Signal Filtering 2.1 Average Filter 2.2 Median Filter 2.3 Kalman Filter 2.4 FIR Filter 2.5 Fuzzy Filter 3 A Two-Level Fuzzy Model for Filtering Signals 3.1 First Level of the Fuzzy Model 3.2 Second Level of the Fuzzy Model 4 Experiment Results 5 Conclusion References Toward More Robust Multiclass Aerial Solar Panel Detection and Classification 1 Introduction 2 Literature Reviews 2.1 Multisolar Panel Detection 2.2 Deep Learning 3 Methodology 3.1 Dataset Preparation 3.2 Experimental Design 4 Results and Discussions 4.1 Objectness Loss 4.2 Box Loss 4.3 Classification Loss 5 Conclusion References PlantML: Some Aspects of Investigation on Deployment of Machine Learning Algorithm for Detection and Classification of Plants 1 Introduction 2 Related Work 3 Objective and Implementation Methodology 3.1 Datasets 4 Conclusion References Big Data Analytics-Based Recommendation System Using Ensemble Model 1 Introduction 2 Motivation 3 Proposed Method 3.1 Input Data 3.2 Individual Algorithm-Based Recommender Model 3.3 Ensemble Algorithm-Based Recommender Model 4 Evaluation Parameters 4.1 Classification Accuracy 4.2 Model Performance Metrics 5 Results and Discussion 5.1 Execution of Individual Algorithm Model- Minkowski 5.2 Final Output (User Interface View) Individual Model 5.3 Execution of Ensemble Algorithm Model 5.4 Final Output (User Interface View) Ensemble Model 6 Conclusion References Uncertainty Management in Brain Data for Olfactory Perceptual-Ability Assessment of Human Subjects by General Type-2 Fuzzy Reasoning 1 Introduction 2 Research Hypothesis 3 Original Contributions of the Present Research 3.1 The Proposed TVS-GT2FR Model (Model 1) 3.2 The Proposed GVS-GT2FR Model (Model 2) 3.3 Subjective Perceptual-Ability Assessment in the Test Phase 4 Experimental Results and Performance Analysis 4.1 Experiment 1: Comparative Analysis of the Proposed Regression Models 4.2 Experiment 2: Relative Performance Analysis and Validation 5 Conclusions and Future Scope References Checkpoint-Based Round-Robin Scheduling Technique Toward Fault-Tolerant Resource Management in Cloud Computing 1 Introduction 2 Related Work 3 Cloud Computing Basics 3.1 Cloud Deployment Model 3.2 Cloud Services  3.3 Faults, Failure, and Error Under Cloud Deployment 3.4 Fault Management Basics 4 Problem Definition 5 Proposed Method 5.1 Round-Robin Scheduling Algorithm 5.2 Objectives of the Proposed Method 5.3 Round-Robin Scheduling Algorithm with Parallel Checkpoints 6 Experimental Results 7 Conclusion References Cost Optimized Community-Based Influence Maximization 1 Introduction 2 Literature Survey 2.1 Clique Percolation Method (CPM) 2.2 Network Transformation Algorithms 2.3 Link Partition Optimizing 2.4 Clique Merged Technique 2.5 Community-Oriented Framework 2.6 Community-Based Approach Towards Identification of Most Influential Nodes 3 Proposed Method 3.1 Disjoint and Overlapping Community 3.2 Clique Proximity (Δ) 3.3 Disjoint Community Detection Algorithm 3.4 Influential Seed Set Identification 3.5 Monte Carlo Simulation Method 3.6 Proposed Algorithm 3.7 Time Complexity 4 Experimental Result 5 Conclusion References A Novel Model for Automated Identification of Terrestrial Species 1 Introduction 2 Related Works 3 Proposed Objectives and Methodology 3.1 Approach Overview 4 Results and Discussion 5 Conclusion and Future Works References Fish Detection from Underwater Images Using YOLO and Its Challenges 1 Introduction 2 Proposed Solution 3 Dataset Description 4 Object Detection Evaluation Metrics 5 Results and Discussion 6 Challenges Faced During Experiment 6.1 Massive Data Requirement 6.2 Slow Training Process 6.3 Unclear Images 6.4 Multi-object 6.5 Large Number of Classes 7 Conclusion References Design and Realization of an IoT-Based System for Real-Time Monitoring of Embryo Culture Conditions in IVF CO2 Incubators 1 Introduction 2 Present Scenario 3 Primary Objectives 4 Design and Development 4.1 Phase I: Design and Implementation of the Prototypes 4.2 Phase II: Continuous Testing of the Prototypes in IVF Laboratories Under Real Embryo Culture Conditions 5 Performance Evaluation 6 Conclusion References FPGA Implementations and Performance Analysis of Different Routing Algorithms for the 2D-Mesh Network-On-Chip 1 Introduction 2 Literature Survey 3 Route Computation Modules 3.1 Route Computation (RC) 3.2 Look-Ahead RC 4 Analysis and Implementations of Routing Algorithms 4.1 Classic XY Routing 4.2 Adaptive X–Y Routing 4.3 Router with Balanced Dimension-Order 5 Conclusion References A Comparative Analysis of Non-gradient Methods of Class Activation Mapping 1 Introduction 2 Research Context 2.1 Challenges of Gradient-Based CAM Methods 3 Non-gradient CAM Methods 3.1 Eigen-CAM 3.2 Score-CAM 3.3 Ablation-CAM 4 Evaluation 5 Conclusion References Deep Learning-Based Weight Initialization on Multi-layer Perceptron for Image Recognition 1 Introduction 2 Related Works 3 Proposed Method 3.1 RBM 3.2 Pre-training 3.3 Training 4 Results and Analysis 4.1 Implementation Settings 4.2 Data Sets 4.3 Comparison 5 Conclusion References Assessment of Air Quality as a Positive Impact of COVID-19 Lockdown with Reference to an Industrial City and a Populated City of India 1 Introduction 2 Study Area 3 Methodology 4 Results and Discussion 4.1 Particulate Matter Less Than 2.5 µm (PM2.5) 4.2 Particulate Matter Less Than 10 µm (PM10) 4.3 Nitric Oxide (NO) 4.4 Nitrogen Dioxide (NO2) 4.5 Ammonia (NH3) 5 Sulphur Dioxide (SO2) 6 Carbon Monoxide (CO) 7 Ozone (O3) 8 Benzene (C6H6) and Toluene (C7H8) 9 Conclusion References Applications of Big Data in Various Fields: A Survey 1 Introduction 2 Motivation and Organization 3 Big Data Characteristics and Storage 4 Application in Various Fields 4.1 Application in Healthcare 4.2 Application in Social Media Data 4.3 Application in E-Commerce 4.4 Application in Agriculture 4.5 Application in Smart Cities 4.6 Application in Intelligent Transportation System (ITS) 5 Conclusion References Performance Analysis of Healthcare Information in Big Data NoSql Platform 1 Introduction 2 Literature Survey 3 Need for Big Data and HBASE for Storing Healthcare Information 4 Platform for Storing Healthcare Information with Comparison 5 Results and Discussions 6 Conclusion References IoT-Based Smart Internet Protocol Camera for Examination Monitoring 1 Introduction 2 System Architecture and Hardware Realization 3 Software Design and Implementation 4 Performance Evaluation 5 Conclusion References Efficient Low-Complexity Message Passing Algorithm for Massive MIMO Detection 1 Introduction 2 System Model 3 Proposed Low-Complexity LAMA 4 Complexity Analysis 5 Simulation Result 6 Conclusions References An Effective Community-Based Greedy Approach Over Selected Communities for Influence Maximization 1 Introduction 2 Related Work 2.1 Community Detection Methods 2.2 Community-Oriented Influence Maximization 3 Proposed Method 3.1 Network Partitioning 3.2 Candidate Node Selection 3.3 Seed Set Generation 4 Result and Discussion 5 Conclusion References Author Index