Proceedings of the International Conference on Intelligent Vision and Computing (ICIVC 2022). Volume 1

The conference proceedings book is a collection of high-quality research articles in the field of intelligent vision and computing. It also serves as a forum for researchers and practitioners from both academia and industry to meet and share their expertise and experience. It provides opportunities for academicians and scientists along with professionals, policymakers, and practitioners from various fields in a global realm to present their research contributions and views, on one forum and interact with members inside and outside their own particular disciplines. Preface Contents Test Pattern Modification to Minimize Test Power in Sequential Circuit 1 Introduction 2 Background Review 2.1 Proposed Methodology 3 State Skip LFSR 3.1 Prim’s Algorithm 4 Results and Discussion 5 Conclusion References A Social Network Approach for Improving Job Performance by Promoting Colleague Intimacy 1 Introduction 1.1 Significance of Colleague Intimacy in Reducing Workplace Stress 1.2 Terminologies 2 Objective of the Study 3 Methodology 4 Results and Discussion 5 Conclusion References Deep Learning Model for Automated Image Based Plant Disease Classification 1 Introduction 2 Literature Review 3 Proposed Methodology 3.1 Data Collection 3.2 Data Preprocessing 3.3 Convolutional Neural Network 4 Results and Discussions 5 Conclusions References Opinion-Based Machine Learning Approach for Fake News Classification 1 Introduction 2 Related Work 2.1 Fake News Detection 2.2 Opinion Mining for Fake News Detection 3 Dataset Used for Fake News Detection 4 Methods Used for Detection of Fake News 5 Machine Learning Algorithms Used 5.1 Evaluation Measure 6 Proposed Model for Fake News Classification 7 Results and Discussions 8 Conclusion References Survey on IoMT: Amalgamation of Technologies-Wearable Body Sensor Network, Wearable Biosensors, ML and DL in IoMT 1 Introduction 1.1 Contribution 2 Internet of Medical Things 2.1 Illustration of Real-Time Health Monitoring in IoMT 2.2 Machine Learning in IoMT 2.3 Deep Learning in IoMT 3 Wireless Body Sensor Network 3.1 Working Model of a Wearable Body Sensor Network 3.2 Literature Review in WBSN 3.3 Wearable Biosensors 4 Conclusion References Machine Learning and Digital Image Processing in Lung Cancer Detection 1 Introduction 2 Literature Survey 3 Materials and Methods 3.1 Dataset 3.2 Data Cleaning 4 Results 5 Conclusion References Video Captioning Using Deep Learning Approach-A Comprehensive Survey 1 Overview 2 Video Captioning Architecture 3 Deep Learning-Based Video/Image Captioning Models 3.1 Recurrent Architectures 3.2 Sequence-To-Sequence Architectures 3.3 Attention-Based Architectures 3.4 Sequence to Sequence Models with Attention Mechanism 3.5 Transformer-Based Methods 3.6 Hierarchical Methods 3.7 Deep Reinforcement Learning 3.8 Memory-Based Architectures 3.9 Dense Video Captioning 3.10 Performance Analysis Using Evaluation Metrices 4 Conclusion References A Novel Hybrid Compression Algorithm for Remote Sensing Imagery 1 Introduction 2 Image Acquisition System 3 Wavelet Transform 4 Coding Techniques 5 Proposed Methodology 6 Experimental Results 7 Conclusion References Optimization of Localization in UAV-Assisted Emergency Communication in Heterogeneous IoT Networks 1 Introduction 2 Related Work 3 Proposed Methodology 4 Experimental Results 5 Conclusion and Future Scope References Time Domain and Envelope Fault Diagnosis of Rolling Element Bearing 1 Introduction 2 Time Domain Analysis and Theoretical Mathematical Models 3 Signal Processing Fault Detection Techniques 3.1 Frequency Domain 3.2 Envelope Analysis 4 Experimental Investigation 4.1 Case 1 IR Fault Diagnosis 4.2 Case 2 OR Fault Diagnosis 4.3 Case 3 Ball Fault 5 Conclusions References Predictive Analytics for Fake Currency Detection 1 Introduction 2 Literature Review 3 Methodology 3.1 Dataset 3.2 Data Pre-processing 3.3 Model Building 4 Results and Discussion 5 Conclusion References Detecting Spam Comments on YouTube by Combining Multiple Machine Learning Models 1 Introduction 2 Related Work 3 Proposed Method 3.1 Machine Learning Algorithms and Environment 3.2 Overview 3.3 Dataset 3.4 Dataset Processing 4 Applied Machine Learning Algorithms 4.1 Multinomial Naïve Bayes 4.2 Logistic Regression 4.3 Support Vector Machine 4.4 Decision Tree 4.5 Random Forest 4.6 Ensemble with Hard Voting 4.7 Ensemble with Soft Voting 5 Evaluation Metrics 5.1 Confusion Matrix 5.2 Accuracy 5.3 Precision 5.4 Recall 5.5 F1-Score 5.6 ROC Curve 6 Results 7 Conclusion References A Review of Different Aspects of Human Robot Interaction 1 Introduction 2 Literature Review of Different aspects of HRI 2.1 Computer Vision 2.2 NLP 3 Challenges and Discussions 4 Conclusion References Optimized Static and Dynamic Android Malware Analysis Using Ensemble Learning 1 Introduction 2 Previous Work 3 Methodology 3.1 Static Analysis 3.2 Dynamic Analysis 4 Experimental Results 4.1 Static Analysis 4.2 Dynamic Analysis 5 Discussions 6 Conclusion References Geometry Enhancements from Visual Content: Going Beyond Ground Truth 1 Introduction 1.1 Contributions 2 Related Work 2.1 Depth Super Resolution 2.2 Image to Depth Estimation 2.3 Color Guided Depth Super-Resolution 2.4 Deep Zero-Shot Models 3 Proposed Method 3.1 Architecture 3.2 Losses 3.3 Implementation Details 4 Results 4.1 Data-sets 4.2 Qualitative Results 4.3 Quantitive Results 4.4 Ablation Study 4.5 Failed Cases 5 Conclusion References Comparing Neural Architectures to Find the Best Model Suited for Edge Devices 1 Introduction 1.1 Neural Architecture Search and AutoML 1.2 Frameworks 2 Literature Survey 2.1 MCUNet 2.2 μNAS 2.3 SpArSe 2.4 MicroNets 2.5 Once-for-All (OFA) 3 Methodology 4 Conclusion References Hand Anatomy and Neural Network Based Recognition of Isolated and Real-Life Words of Indian Sign Language 1 Introduction 2 FiSTHGNN 2.1 Palm Detection 2.2 Keypoints Detection 2.3 Keypoint Localization 2.4 Classification and Prediction 3 Dataset Description 4 Experimental Results 4.1 Performance Metrics 4.2 Accuracy Comparison 4.3 Time Comparison 4.4 Comparison to the Other State of Art Algorithms 5 Conclusion References Drones: Architecture, Vulnerabilities, Attacks and Countermeasures 1 Introduction 2 Drone Architecture 3 Communication Architectures 4 Drones Communications Types 5 IT (Information Technology) vs OT (Operational Technology) Cyber Security Differences 6 How Are Drone Networks Vulnerable? 7 Drones Vulnerabilities, Attacks and Their Countermeasures 8 Discussion and Areas Open for Research 9 Conclusion References Classifications of Real-Time Facial Emotions Using Deep Learning Algorithms with CNN Architecture 1 Introduction 2 Literature Survey 3 Methodology 3.1 Datasets 3.2 Implementation 3.3 Convolutional Neural Network 4 Results 5 Discussion 6 Conclusion References Healthcare Data Security in Cloud Environment 1 Introduction 1.1 Review of Literature 1.2 Objective 1.3 Hypothesis 2 Methodology 2.1 Data Collection 2.2 Analysis 2.3 Implementation 3 Result 3.1 Result Finding 3.2 Result 3.3 Discussion 4 Conclusion 4.1 Inference 4.2 Future Scope 4.3 Limitation References Statistical Assessment of Spatial Autocorrelation on Air Quality in Bengaluru, India 1 Introduction 1.1 India Air Quality Index (AQI) 1.2 WHO Standards for Air Quality 1.3 Air Pollutants Impact 2 Data and Methods 3 Methodology 3.1 Spatial Analysis 3.2 Spatial Autocorrelation (SPAC) Techniques 3.3 Equations 4 Results and Discussion 5 Conclusion References Apoidolia: A New Psychological Phenomenon Detected by Pattern Creation with Image Processing Software Together with Dirichlet Distributions and Confusion Matrices 1 Introduction 2 Materials and Methods 2.1 Participants 2.2 Stimuli 2.3 Questionnaires 2.4 Analytical Approach 3 Results 4 Discussion Appendix References Understanding Social Media Engagement in Response to Disaster Fundraising Attempts During Australian Bushfires 1 Introduction 2 Literature Review 3 Data Preparation and Methods 3.1 Sentiment Annotation 3.2 Methods 4 Results 4.1 Content Analysis 4.2 Sentiment Analysis 5 Conclusion References Evaluating Image Data Augmentation Technique Utilizing Hadamard Walsh Space for Image Classification 1 Introduction 2 Related Work 3 Theoretical Background 3.1 Hadamard Transform 3.2 Deep Convolutional Neural Network (CNN) 4 Methodology 4.1 Proposed Technique of Image Augmentation utilizing Hadamard Space 4.2 Image Data Augmentation utilizing the Walsh Space 4.3 Training and Performance Evaluation 5 Experimental Setup 5.1 Dataset Description 5.2 Experiment Details 6 Results and Discussion 6.1 Benchmark Results 6.2 Results of Experiments on Hadamard Augmented Dataset and Walsh Augmented Dataset 6.3 Results of Experiments on SGT and MGT Augmented Datasets 6.4 Category Wise Performance Evaluation using AUC score 6.5 Discussion 7 Conclusion and Future Work References A Library-Based Dimensionality Reduction Scheme Using Nonlinear Moment Matching 1 Introduction 2 Dimensionality Reduction via Nonlinear Moment Matching 3 Selecting the Right Signal Generator 3.1 Classification of Signal Generators 3.2 A Criteria to Choose Signal Generator 4 Numerical Simulation 4.1 Ring Grid Model 4.2 IEEE 118-Bus System 5 Conclusion and Future Perspective References Performance Evaluation of Machine and Deep Transfer Learning Techniques for the Classification of Alzheimer Disease Using MRI Images 1 Introduction 2 Methods 2.1 Database 2.2 Methodology 3 Results and Discussion 3.1 Training and Validation of the Model 3.2 Testing of Model 4 Conclusion References Multiobjective Optimization of Friction Welding of 15CDV6 Alloy Steel Rods Using Grey Relational Analysis in the Taguchi Method 1 Introduction 2 Experimental Procedure 2.1 Material and Method 3 Grey Relational Analysis 4 Anova 5 Confirmation Test 6 Conclusions References Voting Based Classification System for Malaria Parasite Detection 1 Introduction 2 Background 3 Methodology 3.1 Model Implementation 3.2 Data Acquisition 4 Results 5 Conclusion References Acoustic and Visual Sensor Fusion-Based Rover System for Safe Navigation in Deformed Terrain 1 Introduction 2 Background 3 Methodology 4 Results 5 Conclusion References Feature Selection with Genetic Algorithm on Healthcare Datasets 1 Introduction 2 Feature Selection Methods 3 Genetic Algorithms 4 Machine Learning Algorithms 4.1 Decision Tree 4.2 K-Nearest Neighbor 4.3 Random Forest 4.4 Naive Bayes 4.5 Adaboost 5 Datasets 5.1 Heart Disease Dataset 5.2 Breast Cancer Dataset 6 Results and Discussion 7 Conclusion References BSS in Underdetermined Applications Using Modified Sparse Component Analysis 1 Introduction 2 Existing Methods 2.1 Hierarchal Clustering 2.2 Sparse Component Analysis 3 Proposed Method 3.1 Procedure for Mixing Matrix Estimation 3.2 Procedure for Source Separation 4 Results and Discussion 4.1 Performance Analysis for Underdetermined BSS 5 Conclusion References Optimal Reservoir Operation Policy for the Multiple Reservoir System Under Irrigation Planning Using TLBO Algorithm 1 Introduction 2 Study Area 3 Methodology of TLBO Algorithm 4 Methodology for Model Formulation 4.1 The Land Allocation 4.2 The Storage Continuity 4.3 Water Allocation 4.4 Evaporation 4.5 Overflow 5 Results and Discussion 5.1 Optimal Rule Curve 5.2 Optimal Irrigation Release 6 Conclusion References Feature Reduction Based Technique for Network Attack Detection 1 Introduction 2 Types of Network Attacks 2.1 Denial of Service Attacks (Dos) 2.2 Remote to Local Attacks (R2L) 2.3 Probe Attacks 2.4 User to Remote Attacks (U2R) 3 Issues with AS Attack Detection 4 Proposed Approach 5 Algorithm Used for Proposed Approach 6 Result Analysis 7 Conclusion References Machine Learning Based Solution for Asymmetric Information in Prediction of Used Car Prices 1 Introduction 2 Literature Review 3 Dataset and Its Exploratory Data Analysis 3.1 Company vs Price 3.2 Relationship of Price with Year 3.3 Price vs Kilometers Driven 3.4 Fuel Type vs Price 3.5 Relationship of Price with Fuel Type and Year 4 Methodologies 4.1 Linear Regression (LR) 4.2 Random Forest (RF) 4.3 Extra Tree Regressor (ETR) 4.4 Extreme Gradient Boosting Regression (XGBoost) 5 Results and Accuracy Comparison of Models 6 Conclusion References Semantic Aware Video Clipper Using Speech Recognition Toolkit 1 Introduction 2 Literature Survey 3 System Design and Preliminaries 3.1 System Architecture 3.2 Preliminaries Vosk API 3.3 Silence Removal 3.4 Control Words Removal Algorithm 4 Methodology 4.1 Techniques Used 5 Results and Discussion 6 Conclusion References Feature-Rich Long-Term Bitcoin Trading Assistant 1 Introduction 2 Literature Survey 3 Approach 3.1 Block Diagram 3.2 Data Description 3.3 Technical Analysis 3.4 Sentiment Analysis 3.5 Reinforcement Learning 3.6 Training of Proposed Model 3.7 Results and Discussion 4 Conclusion 5 Further Work References PHR and Personalized Health Recommendations Using Rule-Based Approach 1 Introduction 2 Preliminaries 2.1 PHR 2.2 Personalized Recommendation System 2.3 Self-tracking 2.4 Rule Based Reasoning 2.5 Natural Language Processing 3 Literature Study 4 Description of Algorithm 5 Architecture Diagram 6 Design Methodology 7 Implementation of Results 7.1 Registration and Authentication 7.2 PHR Module 7.3 Personalized Recommendations 7.4 Administrator Module 7.5 Knowledge Base 7.6 Results 8 Conclusion 9 Future Work References A Novel Remote Sensing Image Captioning Architecture for Resource Constrained Systems 1 Introduction 2 Literature Survey 3 Methodology 3.1 Encoder Block 3.2 Attention Block 3.3 Decoder Block 4 Results and Discussion 5 Conclusion References Determination of Burnout Velocity and Altitude of N-Stage Rocket Varying with Thrust Attitude Angle 1 Introduction 2 Mathematical Formulation 3 Results and Discussion 4 Optimization Analysis 5 Conclusion References Emotion Detection Using Deep Fusion Model 1 Introduction 2 Related Work 3 Methodology 4 Proposed Work 5 Results and Discussion 6 Conclusion References GTMAST: Graph Theory and Matrix Algorithm for Scheduling Tasks in Cloud Environment 1 Introduction 2 Related Work 3 Proposed Work 3.1 Problem Definition 3.2 Proposed Algorithm 4 Results and Discussion 4.1 Simulation Setup 4.2 Performance Evaluation and Comparison 5 Conclusion and Future Work References Dynamic Priority Based Resource Scheduling in Cloud Infrastructure Using Fuzzy Logic 1 Introduction 2 Literature Review 3 Fuzzy Logic 4 The Proposed Model 5 Experimental Setup 6 Results and Discussion 7 Conclusion References Identification of Social Accounts’ Responses Using Machine Learning Techniques 1 Introduction 2 Literature Survey 3 Methodology 3.1 Dataset 3.2 Data Pre-processing 3.3 Identifying the Missing Values in the Dataset 3.4 Data Analysis 3.5 Feature Independence 3.6 Feature Extraction 3.7 Feature Engineering 3.8 Machine Learning Classifiers 3.9 Building and Integrating Model Using a Flask Application 4 Results 5 Conclusion 6 Future Work References Pesticide and Quality Monitoring System for Fruits and Vegetables Using IOT 1 Introduction 2 Related Work 3 Methodology 3.1 Hardware and Software System Description 3.2 Working 4 Result 5 Conclusion References Forecasting Crop Yield with Machine Learning Techniques and Deep Neural Network 1 Introduction 2 Background Study 3 Objectives 4 Methodology 5 Results 6 Future Scope 7 Conclusion References Semantic Segmentation on Land Cover Spatial Data Using Various Deep Learning Approaches 1 Introduction 2 Existing Work 3 Deep Learning Approaches and Proposed Methodology 3.1 UNet 3.2 ResNet-UNet 3.3 Attention Model 3.4 SegNet 3.5 Proposed Methodology 4 Experiments and Results 5 Discussion and Conclusion 6 Future Scope References A Framework for Identifying Image Dissimilarity 1 Introduction 2 Related Work 3 Methodology 4 Results and Discussion 5 Conclusion References Work from Home in Smart Home Technology During and After Covid-19 and Role of IOT 1 Introduction 2 Theoretic Framework 3 Methodology 3.1 Research Questions 3.2 Research Approach 4 Results 4.1 Adoption of Smart House Technologies 4.2 Relevance of Internet of Things (IoT) 5 Discussion 6 Limitations 7 Conclusion References Using Genetic Algorithm for the Optimization of RadViz Dimension Arrangement Problem 1 Introduction 2 RADVIZ Visualization Tool 2.1 Dimension Arrangement Problem 3 Proposed Genetic Algorithm 3.1 Individual Representation 3.2 Cross Over Operation 3.3 Mutation Operation 3.4 GA Fitness Function Definition 4 Experiments and Results 4.1 Experimental Settings 4.2 GA Parameters Tuning 4.3 Performance Evaluation 5 Conclusion References COLEN-An Improvised Deep Learning Model for Plant Disease Detection Using Varying Color Space 1 Introduction 2 Related Works 3 Proposed Work 3.1 Data Collection 3.2 Data Pre-processing and Visualization 3.3 Novel Ensemble Algorithm 3.4 Color Spaces 4 Results and Discussion 5 Conclusion and Future Scope References Tuberculosis Detection Using a Deep Neural Network 1 Introduction 2 Background 2.1 CNN-Based Transfer Learning 3 Problem Definition 4 Datasets and Preprocessing 5 Methodology 5.1 Collection of Datasets 5.2 Sorting and Organizing Data 5.3 Feature Extraction from the Dataset 5.4 Testing of Data Using the Proposed Method 5.5 Showing the Prediction and Storing the Result 6 Conclusion References Capacity Enhancement Using Resource Allocation Schemes 1 Introduction 2 Multiple Access Techniques 2.1 Frequency Division Multiple Access 2.2 Time Division Multiple Access 2.3 Code Division Multiple Access 2.4 Orthogonal Frequency Division Multiple Access (OFDMA) 3 Channel Side Information at the Transmitter (CSIT) 4 Channel Side Information at the Transmitter at any Load 5 Simulation Results 6 Conclusions References A Method for Price Prediction of Potato Using Deep Learning Techniques 1 Introduction 2 Related Work 3 Proposed System 3.1 Artificial Neural Network (ANN) 3.2 Auto-regressive Integrated Moving Average Model (ARIMA) 3.3 Long Short Term Memory (LSTM) 4 Results 5 Conclusion References Author Index