Proceedings of the International Conference on Intelligent Vision and Computing (ICIVC 2021) (Proceedings in Adaptation, Learning and Optimization, 15)
معرفی کتاب «Proceedings of the International Conference on Intelligent Vision and Computing (ICIVC 2021) (Proceedings in Adaptation, Learning and Optimization, 15)» نوشتهٔ Harish Sharma (editor), Vijay Kumar Vyas (editor), Rajesh Kumar Pandey (editor), Mukesh Prasad (editor)، منتشرشده توسط نشر Springer International Publishing AG در سال 2022. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است.
This book gathers outstanding research papers presented at the International Conference on Intelligent Vision and Computing (ICIVC 2021), held online during October 03–04, 2021. ICIVC 2021 is organised by Sur University, Oman. The book presents novel contributions in intelligent vision and computing and serves as reference material for beginners and advanced research. The topics covered are intelligent systems, intelligent data analytics and computing, intelligent vision and applications collective intelligence, soft computing, optimization, cloud computing, machine learning, intelligent software, robotics, data science, data security, big data analytics, and signal natural language processing. Contents Assessment of Weight Factor in Genetic Programming Fitness Function for Imbalanced Data Classification 1 Introduction 2 Benchmark Data-Sets 3 Genetic Programming 3.1 Fitness Function 4 Experimental Details 5 Results and Discussions 6 Conclusions References Mass Transfer Past an Exponentially Stretching Surface with Variable Wall Concentration and MHD in Porous Medium 1 Introduction 2 Mathematical Model 3 Numerical Solution for Momentum and Mass Equations 4 Results and Discussion 5 Conclusion References A Novel Approach of Using Materialized Queries for Retrieving Results from Data Warehouse 1 Introduction 2 Implementation of MQDB 2.1 The Initialization Process 2.2 Query Storage in MQDB 2.3 Finding Synonymous Query from MQDB 2.4 Finding the Requirement of Incremental Data [3] 3 Experimental Observations 3.1 Processing with Data Warehouseon Central-Server for Synonymous Queries 3.2 Synonymous Query Processing with Data Warehouse on Cloud-Server 4 Conclusion and Future Scope References A Trust-Based Mechanism to Improve Security of Wireless Sensor Networks 1 Introduction 1.1 Security in WSN 1.2 Trust Management 1.3 Trust-Based Security Models for WSN 2 Literature Review 2.1 Trust-Based Optimisation Techniques for WSN Security 2.2 Trust-Based Hierarchical Routing Protocol for WSN Security 2.3 Distributed Trust Models for WSN Security 3 Issues and Challenges in WSN Security 4 Research Methodology 4.1 The Proposed Algorithm 5 Results and Discussion 6 Conclusion References Multikernel Support Vector Machine Approach with Probability Distribution Analysis for Classifying Parkinson Disease Using Gait Parameters 1 Introduction 2 Related Works 3 Proposed Classification Approach 3.1 Data Preprocessing 3.2 Multikernel Support Vector Machine Approach 3.3 Probability Distribution Analysis 4 Experimental Analysis 4.1 Dataset Used 4.2 Classification Performance Analysis 5 Conclusion References Impact of Convolutional Neural Networks for Recognizing Facial Expressions: Deep Learning Perspective 1 Introduction 2 Significance of Deep Learning 2.1 Recognition of Speech 2.2 Face Recognition and Computational Vision 2.3 Recreation of Scenes 2.4 Semantic Translation and Regular Language 3 Convolutional Neural Networks 4 Data Set Utilized 4.1 Training Data 4.2 Testing Data 4.3 Validation Data 5 Result 6 Conclusion References Handwritten Bengali Digit Classification Using Deep Learning 1 Introduction 2 Literature Review 3 Methodology 3.1 Dataset 3.2 Pre-processing and Augmentation 4 Results and Discussion 5 Conclusion References IoT Based COVID Patient Health Monitoring System in Quarantine 1 Introduction 2 Literature Review 3 Proposed System 4 Methodology 5 Results 6 Conclusion References Self-attention Convolution for Sparse to Dense Depth Completion 1 Introduction 2 Related Work 2.1 Sparse to Dense Depth Completion 2.2 Self-attention Convolution 3 Method 3.1 Self-attention Convolution 3.2 Sampling Strategy 4 Experiments 4.1 Dataset and Evaluation Metrics 4.2 Impaction of Self-attention Convolution 4.3 Comparison with Prior Work 5 Summary References Using Algorithm in Parametric Design as an Approach to Inspire Nature in Architectural Design 1 Introduction 2 Parametric Design 2.1 The Concept and Definition of Parametric Design 2.2 The Importance of Parametric Design 2.3 Parametric Design Process 2.4 Parametric Strategies and Principles 3 The Methods of Nature Inspiration 3.1 Definition and Concept of Inspiration 3.2 Relationship Between Architectural Designs with Nature 3.3 The Importance of Nature for the Architectural Designer 3.4 Types of Inspiration 4 The Methods of Nature Inspiration 4.1 Parametric Concept in Nature 4.2 The Ways of Nature Inspiration 4.3 Parametric Patterns 4.4 Parametric Design Theories Based on Nature Formations 5 The Parametric Attributes and Properties 5.1 Formal Features 5.2 Functional Features 5.3 Parametric Design Patterns 6 Contemporary Architectural Case Studies 7 Results and Discussions 8 Conclusion References Sybil Account Detection in Social Network Using Deep Neural Network 1 Introduction 2 Neural Network 3 Literature Review 4 Problem Definition 5 Proposed Work 6 Experimental and Result Analysis 7 Evaluation Metrics 8 Conclusion References Docker Container Orchestration Management: A Review 1 Introduction 2 Container Orchestration Software System 3 Container Orchestration Framework 3.1 Classification of Orchestration Management 3.2 Analysis of Container Orchestrator Management 4 Challenges and Issues 5 Conclusion and Future Scope References Locally Weighted Mean Phase Angle (LWMPA) Based Tone Mapping Quality Index (TMQI-3) 1 Introduction 2 Literature Review 3 Proposed Approach 3.1 Improved Structural Fidelity 3.2 Improved Statistical Naturalness 3.3 Use of Mean Phase Angle of Local Weights 4 Results and Discussion 4.1 Experimental Setup 4.2 Kendall Correlation Based Results 4.3 Visual Results on LDR Images 5 Conclusion References Age Estimation of a Person by Compound Stratum Practice in ANN Using n-Sigma Limits 1 Introduction 1.1 Literature Survey 1.2 Face Database 2 Proposed Methodology 2.1 Compound Level 3 Projected Algorithm 4 Experimental Outcomes 5 Inferences and Deliberations References Improved Artificial Fish School Search Based Deep Convolutional Neural Network for Prediction of Protein Stability upon Double Mutation 1 Introduction 2 Related Work 3 Methodology: Fish School Search Improved Deep Convolutional Neural Network for Prediction of Protein Stability upon Double Mutation 3.1 Dataset Description 3.2 Deep Convolutional Neural Network 3.3 Fish School Search Algorithm Improved Convolutional Neural Network for Protein Stability Prediction upon Double Mutation 4 Results and Discussions 5 Conclusion References Statistical Distribution and Socio-Economics in Accordance with the Indian Stock Market in the COVID19 Scenario 1 Introduction 1.1 COVID-19 and India: Not an Impasse 2 Indian Stock Market Crisis: A Historical Perspective 2.1 Contexting the Fall of Markets 3 Materials and Methods 4 Methodology and Procedure of Interpretation 5 Results 5.1 Power Law Distribution Utilised 6 Discussion and Conclusions References Business, Finance and Decision Making Process - The Influence of Culture on Foreign Direct Investments (FDI) 1 Introduction 2 The Influence of Culture and Cultural Values Foreign Direct Investments 3 The Relationship Between Culture and Globalization and Its Influence of Foreign Direct Investments (FDI) 4 Conclusion References Towards a Problematization Framework of 4IR Formalisms: The Case of QUALITY 4.0 1 Introduction 1.1 Research Questions (RQs) 2 Research Methodology 3 Literature Review 3.1 Fourth Industrial Revolution 3.2 Formal Methods in Software Engineering 3.3 The Quality 4.0 Framework 3.4 Formal Specification of Quality 4.0 3.5 Technology Adoption 3.6 Problematization Frameworks 4 Problematization of FMs in the 4IR 5 Conclusions and Future Work References Investment or Gambling in the Crypto Market: A Review 1 Cryptocurrency 1.1 Introduction 1.2 The Path to Pitfall 2 Darwinism of Some Cryptocurrencies 3 Conclusion References Solving Partial Differential Equations on Radial Basis Functions Networks and on Fully Connected Deep Neural Networks 1 Introduction 2 Development of Learning Neural Networks Algorithms for Solving PDE 3 Developing TensorFlow Library Extensions 4 Experimental Study 5 Conclusion References Smart Technologies to Reduce the Spreading of COVID-19: A Survey Study 1 Introduction 2 Existing Researches and Developments 3 Methodology 3.1 Time Span 3.2 Research Strings and Databases to Search 3.3 Development of Research Questions 3.4 Criteria For Study Selection 4 Discussions 5 Conclusion and Recommendation References Development of a Real Time Wi-Fi Based Autonomous Corona Warrior Robot 1 Introduction 2 Problem Statement 2.1 Literature Review 3 Proposed System 3.1 Software Implementation 3.2 Hardware Implementation 4 Results and Discussions 4.1 False Rejection Rate (FRR) 5 CASE STUDY: Operation of the Robot Extended to Control the Spread of Corona Pandemic 5.1 Sanitizer Spray Application 5.2 Hand Sanitizing Application Controlled Automatically by an IR Sensor 5.3 Aural/Visual Inspection and Supervision 6 Conclusion References The Impact of Job Satisfaction Level on Employee Work Performance in the Pharmaceutical Industry: An Empirical Study 1 Introduction 1.1 The Objective of the Study 1.2 Hypothesis Formulation 2 Literature Review 3 Research Methodology 4 Results and Discussion 4.1 Reliability Analysis of the Variables 4.2 Socio-demographic Information of the Sample 4.3 Pearson’s Correlation Among Job Satisfaction Dimensions on Work Performance 4.4 Multiple Regression Analysis for Testing the Job Satisfaction Level Impact of Performance Appraisal 4.5 Multiple Linear Regression Analysis: ANOVA of Job Satisfaction Variables on Performance Appraisal 4.6 Multiple Regression Coefficients of Job Satisfaction Variables on Employee Performance 5 Conclusion References Vocal Psychiatric Simulator for Public Speaking Anxiety Treatment 1 Introduction 2 Research Objectives 3 Design Methodology 3.1 Facial Expression Recognition Module 3.2 Sentiment Analysis Module 4 Results 4.1 Sentiment Analysis Module 4.2 Facial Expression Recognition (FER) Module 5 Conclusion and Future Work References IoT Automation Test Framework for Connected Ecosystem 1 Introduction 2 Related Work 3 Proposed Framework 4 Advanced Validation Techniques 4.1 ML Based Image Validation Technique 4.2 Power Based Validation Technique 4.3 OCR Based Validation Technique 4.4 ML Based Sound Validation Technique 5 Performance Analysis of Validation Techniques 6 Unified Script Creator for All IoT Products 7 Seamless Execution and Engineering Values 8 Results and Impact 9 Conclusion and Future Scope References Application of Magic Squares in Cryptography 1 Introduction 2 Narayana's Folding Method 3 Generation of Cipher Text Using Narayana's Folding Method 4 Knight's Move Method 4.1 Generation of Cipher Text Using Knight's Move Method 5 Conclusion References Application of Artificial Intelligence in Waste Classification Management at University 1 Introduction 2 Methodology 3 Literature Review 3.1 AI Application in Waste Dumping Process 3.2 AI Technology Applied in Waste Collection Process 3.3 AI Technology Applied in Waste Sorting Process 4 Results and Discussion 4.1 Estimation of Waste Generation on Campus 4.2 Current Situation of Waste Classification Management in H University 4.3 Waste Classification Management Framework Based on AI Technology 5 Conclusions References The Distributed Ledger Technology as Development Platform for Distributed Information Systems 1 Introduction 2 DIS Architectural Design Properties 3 DLT Patterns Supporting DIS Development Principles 4 DLT-Native System (DLTNS) Reference Architecture 5 Discussion and Conclusion References Design of Chebyshev Bandpass Waveguide Filter for E-Band Based on CSRR Metamaterial 1 Introduction 2 The Chebyshev Bandpass Filters 2.1 Design of Traditional Bandpass Filter 2.2 The Proposed Bandpass Waveguide Filter 2.3 Discussion 3 Conclusion References The Pedagogical Aspect of Human-Computer Interaction in Designing: Pragmatic Examples 1 Introduction 2 Pedagogical Interface in Designing 3 Integrating Pedagogy into Technology 4 Aspects of Pedagogy in Technology Design 4.1 Utilizing Learning Dimensions for Directing Users’ Minds 4.2 Utilizing Pedagogy to Understand Users 4.3 Utilizing Pedagogy to Organize the Content 4.4 Utilizing Pedagogy to Provide Interaction Methods for Users 5 Conclusion References A Brief Literature Review About Bioinspired Metaheuristics to Solve Vehicle Routes Problem with Time Window 1 Introduction 2 Literature Review on Vehicles Routing 3 Proposed Methodological Approach 4 Metaheuristics Study Case Applied to VRP 5 Conclusions References Markov Decision Processes with Discounted Costs: Improved Successive Over-Relaxation Method 1 Introduction 2 Preliminaries 2.1 MDP Model 2.2 Expected Discounted Cost Criterion 2.3 Popular Derivatives of the VIA 3 Results - Experiments 3.1 A Brief Overview on the Successive Over-Relaxation (SOR) 3.2 New Test for Non-optimal Controls 4 Conclusion References Control Quality Analysis in Accordance with Parametrization in MPC Automation System 1 Introduction 2 Selected Methods for Testing Differences in Favor of Analysis of Parametrization in Automation Systems 3 Structure of Feedback Control in MPC Automation System 4 Results 5 Conclusion References Enhancing the Social Learning Ability of Spider Monkey Optimization Algorithm 1 Introduction 2 Spider Monkey Optimization (SMO) Algorithm 2.1 Initialization Phase 2.2 Local Leader Phase 2.3 Global Leader Phase 2.4 Global Leader Learning Phase 2.5 Local Leader Learning Phase 2.6 Local Leader Decision Phase 2.7 Global Leader Decision Phase 3 Social Learner Spider Monkey Optimization 3.1 Modified Local Leader Phase 3.2 Modified Local Leader Decision Phase 4 Experimental Results and Discussion 4.1 Dataset 1 (Global Optimization Problems) 4.2 Dataset 2 (Engineering Design Problems) 4.3 Dataset 3 (Constraint Optimization Problems) 4.4 Parameter Settings 4.5 Parameter Setting for COPs 4.6 Results Comparison 4.7 Constraint Optimization Problems 5 Conclusion References Multi-objective Based Chan-Vese Method for Segmentation of Mass in a Mammogram Image 1 Introduction 2 Related Work 3 Proposed Model 3.1 Fuzzy Based Chan-Vese Model 3.2 Multi-objective-Based Chen-Vese Model 4 Simulation and Discussion 5 Conclusion References Securing the Adhoc Network Data Using Hybrid Malicious Node Detection Approach 1 Introduction 2 Related Work 3 Research Method 4 Malicious Activity Detection 5 Simulation and Results 6 Conclusion References Embedded Digital Control System of Mobile Robot with Backlash on Drives 1 Introduction 2 System Structure 3 Estimation of Delays 4 Two-Loop Digital Control System Analysis 5 Conclusion References A Novel Approach in Breast Cancer Diagnosis with Image Processing 1 Introduction 2 Organization of the Work 3 Organization of the Work 4 Proposed Methodology 4.1 Global Thresholding 4.2 Local Thresholding 5 Experimental Results and Discussion 6 Comparative Analysis 7 Conclusion 8 Future Scope References Model Based Model Reference Adaptive Control of Dissolved Oxygen in a Waste Water Treatment Process 1 Introduction 2 Waste Water Treatment Process 2.1 Biological Treatment with Activate Sludge 3 Adaptive Control 3.1 Model Reference Adaptive Control (MRAC) 3.2 MIT Method 4 Application of the MRAC Method for the Control of the Dissolved Oxygen in a Wastewater Treatment Process 4.1 Mathematical Model of the DO Process Dynamics 4.2 Control by Conventional PI Regulator 4.3 Model Reference Adaptive Control (MRAC) Based on the MIT Approach 4.4 Identification by Recursive Least Squares Method 4.5 Simulation Results of the Dissolved Oxygen (DO) Control Task 4.6 Robustness Study 5 Conclusion References Breast Cancer Diagnosis Using Deep Learning 1 Introduction 2 Model Implementation 2.1 Data Set 2.2 Data Preparations 2.3 Model Building 3 Results 4 Discussion 5 Conclusion References Topological Data Analysis - A Novel and Effective Approach for Feature Extraction 1 Introduction 2 Persistent Homology 3 Mapper 4 Conclusion References Object Detection Using Microsoft HoloLens by a Single Forward Propagation CNN 1 Introduction 2 Object Detection Using Augmented Reality 3 HoloLens Used for Object Detection 3.1 A. Server-Side 3.2 Client Side 4 Discussion and Results 4.1 Detection Precision 4.2 Processing Time 5 Conclusion and Future Studies References Significance of Dimensionality Reduction in Intrusion Detection Dataset 1 Introduction 2 Literature Review 3 Proposed Methodology 3.1 DenseFR 3.2 SparseFR 3.3 ACOFR 4 Results and Performance Evaluation 5 Conclusion References Comparative Analysis of Bioactive Compounds for Euphorbia Hirta L.Leaves Extract in Aqueous, Ethanol, and Methanol Solvents Using GC-MS 1 Introduction 2 Materials and Methods 2.1 Procurement of Plant Material 2.2 Extraction of Plant 2.3 Gas Chromatography-Mass Spectrometry Analysis 3 Results and Discussion 4 Conclusion References An Efficient Edge Localization Using Sobel and Prewitt Fuzzy Inference System (FIS) 1 Introduction 2 Related Work 3 A Frame Work for Fuzzy Inference System (FIS) 3.1 Block Diagram of Proposed Frame Work 3.2 Mathematical Model of Proposed Sobel and Prewitt FIS 4 Results Analysis for Fuzzy Inference System 4.1 Experiment I 4.2 Experiment II 4.3 Experiment III 4.4 Experiment IV 4.5 Experiment V 4.6 Experiment VI 4.7 Experiment VII 5 Conclusions References Application of Artificial Intelligence in Recommendation Systems and Chatbots for Online Stores in Fast Fashion Industry 1 Introduction 2 Ecommerce and Fast Fashion 2.1 Application of AI and ML in Ecommerce 3 The Effect of Online-Only Business on Physical Stores 4 Discussion and Recommendations 5 Conclusion and Future Work References Application of Artificial Intelligence in Healthcare by Industries in Australia: Opportunities and Challenges 1 Introduction 2 Literature Review 2.1 Current Situation of AI in Healthcare 2.2 Start-Ups Using AI in Healthcare Delivery 2.3 Start-Ups Using AI for Healthcare Efficiency and Improved Patient Care 2.4 Big Tech Support 3 Opportunities and Challenges 4 Conclusion References Author Index
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