Proceedings of First International Conference on Mathematical Modeling and Computational Science: ICMMCS 2020 (Advances in Intelligent Systems and Computing, 1292)

This book presents the most recent scientific and technological advances in the fields of engineering mathematics and computational science, to strengthen the links in the scientific community. It is a collection of high-quality, peer-reviewed research papers presented at the First International Conference on Mathematical Modeling and Computational Science (ICMMCS 2020), held in Pattaya, Thailand, during 14–15 August 2020. The topics covered in the book are mathematical logic and foundations, numerical analysis, neural networks, fuzzy set theory, coding theory, higher algebra, number theory, graph theory and combinatory, computation in complex networks, calculus, differential educations and integration, application of soft computing, knowledge engineering, machine learning, artificial intelligence, big data and data analytics, high-performance computing, network and device security, and Internet of things (IoT). Organizing Committee and Key Members Conference Committee Members Conference General Chair Program Conveners Conference Organizing Chairs Program Co-conveners Program Chairs International Advisory Board Members Technical Chairs Technical Program Committee Members Invited Speakers Preface and Acknowledgements Contents About the Editors Maximum Matching in Koch Snowflake and Sierpinski Triangle 1 Introduction 2 Koch Snowflake 3 Sierpinski Triangle 4 Maximum Matching in Koch Snowflake 5 Conclusion and Future Work References A Study of Stochastic Ecological Model with Prey Harvesting as a Tool of Disease Control 1 Introduction 2 The Mathematical Model for Prey-Predator 2.1 Modified Model 3 The Study of the Deterministic Model 3.1 Boundedness of the Model 3.2 Analysis of Equilibrium and Local Stability 3.3 The Analysis of Stability Globally 4 The Stochastic Model 4.1 The Analysis of Stochastic Model 5 Simulations of Numerical Data 6 Conclusion References Eccentric Distance Sum in Chemical Compounds Graph Using Domination 1 Introduction 2 Eccentric Distance Sum in Graph of Chemical Compounds 2.1 Molecular Graph of Benzene 2.2 Molecular Graph of Naphthalene 2.3 Molecular Graph of Anthracene 2.4 Molecular Graph of Tetracene 2.5 Molecular Graph of Pentacene 3 Conclusion References Analysis of Sierpinski Triangle Based on Fuzzy Triangular Numbers and Dihedral Group 1 Introduction 1.1 Fuzzy Number 1.2 Fractals 1.3 Sierpinski Triangle 1.4 Dihedral Group 2 Operations on Fuzzy Triangular Numbers 2.1 Iteration of Equilateral Triangle 2.2 FTN in α-cut Operations 2.3 Graphical Representation of Multiplication of FTN 2.4 Calculating Centroid and Median of FTN Triangle of Side k, k + 1 Units 2.5 Dihedral Group in FTN 3 Conclusion References Near-Optimal Cable Layout Design of a Wind Farm Using Genetic Algorithm 1 Introduction 2 Optimization Method 2.1 Multiple Traveling Salesmen Problem 2.2 Genetic Algorithm 3 Optimization of the Cable Layout 3.1 Westermost Rough 3.2 Luchterduinen 3.3 Horns Rev 1 4 Conclusions and Future Work References Inventory Cost Estimation Using Brownian Motion 1 Introduction 1.1 Inventory Model 1.2 Economic Order Quantity 1.3 Back Order Quantity 1.4 Brownian Motion 1.5 Fractals 2 Examples. Inventory Different Cost with Shortage 2.1 Mathematical Model 2.2 Notations 2.3 Inventory Model in Order Quantity 2.4 Back Order Quantity 2.5 The Highest Inventory Held in a Cycle is Now 2.6 Number Order/Year 2.7 Total Cost 2.8 Numerical Example 3 Examples. EOQ Cost in Without Shortage 3.1 Mathematical Model 3.2 Assumptions and Notations 3.3 Brownian Motion 3.4 Points of Increase 4 Results 5 Conclusion References Applying Negative Association Rule Utilizing Unsupervised Machine Learning Models 1 Introduction 2 Proposed Method 3 Experiment Results 4 Conclusion References Integrated Network of Pearson Correlation Coefficients, Kendall Tau, Spearman Rho and Its Impact on Disease, Health Indicators and Mortality Ratings in Babil Province 1 Introduction 2 Research Methodology 2.1 Aims of Research 2.2 The Importance of Study 2.3 The Problem of Study 3 Correlation 3.1 Correlation 3.2 Types of Correlation 3.3 Correlation Strength and Direction 4 Theoretical Background [5, 6] 4.1 Pearson’s Correlation Coefficient 4.2 Spearman Correlation Coefficient 4.3 Kendall's Tao Coefficient 5 Scientific Side 5.1 Analysis of Death Data by Age Group and Type of Disease 5.2 Analysis of Death and Birth Data by Age Group 6 Conclusions and Recommendations References The Estimate Function of Schrödinger Operator 1 Introduction 2 The Main Results 3 Conclusion References IoT Implementation at Global Enterprises for Progressive Human Resource Practices 1 Introduction 1.1 Materials and Methods 2 Results Analysis 2.1 Correlations 2.2 Linear Regression 2.3 Linear Regression Curve with Scattered Plot 3 Conclusion References An Empirical Study of Heart Disease Prediction System Using Various Machine Learning Classification Algorithms 1 Introduction 2 Literature Review 3 Machine Learning Algorithms for Predicting Heart Disease 4 Results and Discussions 5 Conclusions References FPGA Implementation of Scaled “Quasi-Cyclic LDPC” Decoder Using High-Level Synthesis 1 Introduction 2 “Quasi-Cyclic LDPC” Codes 3 Minimum-Sum Decoding Algorithm (MSA) 4 Proposed Hardware MS Decoder Design 5 Results 6 Conclusion References Automatic Road Enforcement Detection System Using Intelligent Robust Fuzzy Trained Stochastic Neural Network 1 Introduction 2 Related Works 3 Robust Fuzzy Trained Stochastic Neural Network-Based Intelligent Transport System Creation for Disobeying Activities Prediction 3.1 Materials and Methods 3.2 Robust Fuzzy Trained Stochastic Neural Network-Based Intelligent Transport System Creation for Disobeying Activities Detection Process 3.3 Pretraining Module 3.4 Classification Module 3.5 Decision-Making Module 4 Results and Discussion 5 Conclusion References Human Facial Expression Based Video Retrieval with Query Video Using EBCOT and MLP 1 Introduction 2 Literature Survey 3 Methodology 3.1 Video to Frame Separation 3.2 Phase-1: Human Facial Expression Recognition 3.3 Phase 2-Frame Indexing 3.4 Phase 3- Video Indexing and Retrieving 4 Result and Discussion 5 Conclusion 6 Future Scope References Early Diagnosis of Chronic Kidney Disease Using Machine Learning Algorithms with Least Parameters by RFE and Feature Importance Techniques 1 Introduction 2 Literature Review 3 Proposed Methodology 3.1 Data Preprocessing 3.2 Training and Test Dataset 3.3 Establishing Predictive Model & Evaluation 3.4 Model Assessment 3.5 Performance Evaluation 4 Conclusion and Future Reference References Mixing Sumudu Transform and a Domain Decomposition Method for Solving a Space–Time Fractional Derivative of Groundwater Flow Equation 1 Introduction 2 Basic Concepts 2.1 Caputo Derivative 2.2 The Sumudu Transformation 3 The Mathematical Model 4 The Solution of the Generalized Flow Equation 5 Conclusions References A Meta-Analysis Review of DeLone and McLean Information System Success Model 1 Introduction 2 DeLone and McLean Success Model 3 Research Methodology 4 Reviewing the Relationships Between D&M Updated Model’s Constructs 4.1 The Relationship Between IQ and IU/U 4.2 The Relationship Between SYQ and IU/U 4.3 The Relationship Between SQ and IU/U 4.4 The Relationship Between IQ and US 4.5 The Relationship Between SYQ and US 4.6 The Relationship Between SQ and US 4.7 The Relationship Between U and US 4.8 The Relationship Between US and IU 4.9 The Relationship Between U and NB 4.10 The Relationship Between US and NB 4.11 The Feedback Relationship Between NB and Both U and US 5 Result and Discussion 6 Civil Conflicts 7 Conclusion References Γ-n-Derivations on Semigroup Ideals on Prime Γ-Near-Rings 1 Introduction 2 The Main Results 3 Main Results 4 Conclusion References Priority-Based Optimized Scheduling (PBOS) Algorithm for Big Data Applications in Cloud Computing Environments 1 Introduction 2 Related Works 3 PBOS Algorithm for Big Data Cloud 3.1 Overview 3.2 System Model 3.3 Task Execution Time 3.4 Task Priority Queues Based on Requirements 3.5 VM Priority Queues 3.6 Optimized Task Scheduling 4 Experimental Results 4.1 Results 4.2 Effect of Task Size 4.3 Effect of VMs 5 Conclusion References Prediction-Based Cost-Efficient Resource Allocation Scheme for Big Data Streams in Cloud Systems 1 Introduction 2 Related Works 3 PCRA Scheme 3.1 Overview 3.2 Constraints of Resource Allocation 3.3 Objective function for Finding Number of executors 3.4 Resource Allocation Algorithm 4 Experimental Results 4.1 Results 4.2 Effect of Task Size 4.3 Effect of Deadlines 5 Conclusion References Pythagorean Fuzzy Sets and Its Application in Crop Cultivation 1 Introduction 2 Preliminaries 3 Pythagorean Fuzzy Relation 4 Crop Cultivation by Composite Relations of Pythagorean Fuzzy Sets 5 Case Study 6 Decisions on the States’ Crop Yield 7 Conclusion References Extraction and Search of Relevant Chemical Documents from the Web 1 Introduction 2 Related Work 3 Methodology 3.1 System Description 3.2 Building a Specialized Index 3.3 Boosting 3.4 Specialized Searching and Ranking 3.5 Search Scoring and Ranking 4 Experimental Results 4.1 Performance Evaluation 4.2 NDCG 5 Comparison with Existing IR Techniques 6 Conclusion References Convention of Application Service Providers (ASP) to Applied Cloud Computing Circumvents Defeat 1 Introduction 2 Related Work 3 Methodology-Cloud Processing Outline 3.1 Cloud Organization Models 4 Cloud Service Models–Outcomes and Conversation 5 Benefits and Hazards of ASP Procedure 5.1 Benefits and Risks of Cloud Computing 6 Cost Saving with Cloud Computing 6.1 Risks with Cloud Computing 7 Conclusion References Fuzzy Quotient-3 Cordial Labeling of Some Trees of Diameter 5 1 Introduction 2 Related Work 3 Notations 4 Main Results 5 Conclusion References Fuzzy Tri-Magic Labeling of Non-isomorphic Caterpillar of Diameter 5 1 Introduction 2 Main Result 3 Conclusion References Multi-metaheuristic Features Selection Model for High-Dimensional Biomedical Data 1 Introduction 1.1 Motivation 1.2 Contributions 1.3 Paper Organization 2 Related Works 3 Bat Algorithm (BA) 4 Particle Swarm Optimization Algorithm (PSO) 5 Features Selection Methodology 6 Proposed Multi-metaheuristic Features Selection (MHFS) 6.1 Initialization 6.2 Parallel Search Methodology 6.3 Solutions Aggregate 7 Results and Experimental Discussion 7.1 Dataset Description 7.2 Experimental Result 8 Conclusion and Future Works References Synchronization of Chaos-Based Recurrent Neural Networks Indicating the Cause of Stochastic Time-Varying Delays 1 Introduction 2 Global State Estimator Result 3 Numerical Simulation 4 Conclusion References Analysis of Observability and Stability of HIV Epidemiology in a Migrant Heterosexual Population 1 Introduction 2 An Observation Algorithm and Stability for HIV Epidemiological Model 3 Conclusion References Proper Lucky Labeling of Graph 1 Introduction 2 Preliminaries 2.1 Lucky Labeling 2.2 Proper Lucky Labeling 2.3 Book Graph 2.4 Friendship Graph 2.5 Complete Bipartite Graph 3 Main Result 3.1 Theorem 3.2 Illustration 3.3 Theorem 3.4 Illustration 3.5 Theorem 3.6 Illustration 3.7 Theorem 3.8 Illustration 4 Conclusion References Context Mining for Deep Learning Over Community Health Data for Disease Inference 1 Introduction 1.1 Motivation 1.2 Literature Survey 2 Proposed Methodology Local Mining 3 Implementation 4 Experimental Results 5 Conclusion References User Behaviour-Based Accurate Detection of Credit Card Frauds 1 Introduction 2 Related Works 3 Proposed Solution 3.1 Overview 3.2 Web Markov Skeleton Process (WMSP) Model 3.3 Server Log File 3.4 Credit Card Fraud Detection Algorithm 4 Experimental Results 4.1 Datasets 4.2 Results 5 Conclusion References An Extension of Al-Zughair Integral Transform for Solving Some LPDE'S 1 Introduction 2 An Extension of Al-Zughair Integral Transform for Some Functions 3 The Recent Pattern of LPDEs 4 An Extension of Al-Zughair Integral Transform for Solving a New Types of LPDE's 5 Conclusion References Solving Realistic Applications of Volterra Integral Equation Using Different Integral Transformations 1 Introduction 2 The Transformation for Some Functions 3 Applications 3.1 The Population Growth Equation 3.2 The Storekeeperʹs Control Problem 4 Conclusion References The Generalization of New Integrative Sequence with Parameter s 1 Introduction 2 Preliminary Lemmas 3 Main Results 4 Applications 5 Conclusion References Genetic Algorithm Based on Test Suite Prioritization for Software Testing in Neural Network 1 Introduction 2 Related Work 3 Proposed Methodology 3.1 Selenium Tool 3.2 Genetic Algorithm Based Test Case Prioritization 3.3 Objective Function 3.4 Improved Industry-Oriented Genetic Algorithm for Regression Test 3.5 Neural Network in Regression Testing 3.6 Defect Severity Automation 4 Conclusion References MHD-Parabolic Flow Past an Accelerated Isothermal Vertical Plate with Variable Temperature and Uniform Mass Diffusion in the Presence of Rotation 1 Introduction 1.1 Related Works 2 Mathematical Formulation 3 Coupled Equation with Solution Procedure 4 Results and Interpretation 5 Conclusion References Effect of MHD and Radiation Absorption Fluid Flow Past an Exponentially Accelerated Vertical Plate with Variable Temperature and Concentration 1 Introduction 1.1 Related Work 2 Mathematical Formulation 3 Method of Solution 4 Result and Discussion 5 Conclusion References Relevant Text Extraction Using Enhanced Artificial Neural Network Fuzzy Inference System 1 Introduction 2 Literature Survey 3 Proposed Methodology 4 Results and Discussions 5 Conclusion References Maximum Rate, with Joint Resource Allocation and Relay Selection for OFDM-Cognitive Network with Multiple-(Two-Way AF)-Relay 1 Introduction 2 System Model 2.1 Secondary Network 2.2 Interference Model 3 Problem Formulation 4 Simulation Results 5 Conclusion References Enhancement in E-Marketing Using SVM and Association Rule 1 Introduction 2 Objective of This Research 3 Data Collection and Pre-processing 4 Twitter Data Extraction 5 Input and Pre-processing 5.1 Data from Dataset 5.2 Natural Language Processing for Tokenization of Twitter Data 6 Model Design 6.1 SVM-Based Data Analysis 6.2 Advanced SVM 7 Model Analysis and Result Accuracy 8 Conclusion and Future Work References Bernoulli Polynomials and Ramanujan Summation 1 Introduction 2 Definition 2.1 Theorem 1 2.2 List of Bernoulli Numbers 3 Bernoulli Polynomials 3.1 Theorem 2 3.2 First Few Examples 4 Bernoulli Polynomials Evaluated at t = 1 4.1 Theorem 3 5 Relation of Bernoulli Polynomials and Ramanujan Summation 5.1 Theorem 4 6 Viewing Geometrically 7 Conclusion References Impact of MHD Stream Past an Exponentially Inclined Vertical Plate of First-Order Chemical Response with Variable Mass Diffusion and Thermal Radiation 1 Introduction 1.1 Related Works 2 Mathematical Formulation 3 Solution Method 4 Result and Discussions 5 Conclusion References Eccentric Sequence of Self-centered Graphs 1 Introduction 2 Preliminaries 2.1 The Eccentricity of a Vertex 2.2 Radius and Diameter of G 2.3 Center of G 2.4 Self-Centered Graph 2.5 Almost Self Centered Graph 2.6 Eccentric Sequence and Regular Eccentric Sequence of G 2.7 Power Graph 2.8 Pan Graph 2.9 Embedding of a Graph 3 Main Results 3.1 Corollary 3.2 Algorithm 4 Proposition 5 Conclusion References Study the Stability for Ordinary Differential Equations Using New Techniques via Numerical Methods 1 Introduction 2 Definitions of the Construction of Lyapunov Function [4, 5] 3 Krasovskii's Method [5] 4 A New Technique for Variable Gradient Method for Constructing Lyapunov Function Using Derivative Function 5 Application Examples 6 Conclusion References Exploring a Context-Based Service Access for Trusted Pervasive Application 1 Introduction 2 Literature Review 3 AHP Process for the Trust Value Computation 4 Conclusions References Inventory Decision for Substitutable Products Under Quadratic Demand with Quantity Discounts 1 Introduction 2 Assumptions 3 Proposed Mathematical Model 4 Solution Procedure 5 Sensitivity Analysis 6 Conclusion References Executing the Apriori Hybrid Algorithm in Semi-structured Mining Datasets and Comparison with HD Algorithm 1 Introduction 2 Related Works 3 Proposed Method 4 Result and Discussion 5 Conclusion References Grouping and Scheduling the Examinations Using Visual Basic and Alpha Cut of Fuzzy Graphs 1 Introduction 2 Definition 3 A Survey on Related Works 4 A Simple Heuristic Technique for Grouping the Subjects into Independent Sets 5 A Fuzzy Graphical Approach of Finding the Examination Schedule 6 Conclusion References Simulation of the Dynamic Voltage Restorer Using Two Different Types of the Controller in a Distribution System 1 Introduction 2 The Structure of the DVR 2.1 The DVR Operation Modes 3 Voltage Injection/the Compensation Technique 4 Hysteresis Controllers 5 MATLAB Simulation and the Results 6 The Simulation of the DVR with the PI Controller 7 FFT Analysis 8 Conclusion References Application of Fuzzy Vertex Magic Graph 1 Introduction 2 Preliminaries 2.1 Definition 2.2 Example 2.3 Peterson Graph 3 Theorem 3.1 Example 4 Lemma 4.1 Lemma 4.2 Lemma 5 An Application of Fuzzy Vertex Magic Total Labeling Graph 6 Conclusion References Metric Measures of Optic Nerve Head in Screening Glaucoma with Machine Learning 1 Introduction 2 Methodology 2.1 Segmentation of Optic Disc and Optic Cup 2.2 VCDR and HCDR Analysis 2.3 NRR and ISNT Rule Analysis 2.4 Classification 2.5 Category of Glaucoma Stages 2.6 Performance Evaluation Metrics 3 Dataset for Investigation 4 Results and Discussion 5 Conclusion References Certain Separation Axioms and Ri Spaces with αγo -open sets 1 Introduction 2 Preface 3 αγo Ti Spaces 4 Characterizations of αγo R0 and αγo R1 Spaces 5 Conclusion References Time-Sensitive Probabilities of an M/M/1 Queueing Model with Semi-Vacation and Threshold Policy 1 Introduction 1.1 Related Works 1.2 Importance of the Considered Model 2 Model Description 3 Time-Sensitive Probabilities 4 Conclusion and Future Scope References Estimating the Optimum Completion Time of Project Using Binomial Distribution and Probabilistic PERT Network 1 Introduction 2 Methodology of the Research 3 Results and Discussion 4 Conclusions References Auto-Adaptive Learning for Machine Perception of Native Accent Using Deep Learning 1 Introduction 2 Deep Learning in Machine Learning 3 Accent Recognition 4 Analysis 5 Conclusion References An Approach on Data Visualization and Data Mining with Regression Analysis 1 Introduction 2 Related Works 3 Proposed Method 3.1 Visualization of Data and Data Mining 4 Application Research 5 Conclusion References Indoor Wearable Navigation System Using 2D SLAM Based on RGB-D Camera for Visually Impaired People 1 Introduction 2 The Proposed System 3 Implementation of Navigation System 3.1 Hector SLAM 3.2 Path Planning 3.3 Path Following 4 Demonstration 5 Conclusion References Author Index