Nature of Computation and Communication: 7th EAI International Conference, ICTCC 2021, Virtual Event, October 28–29, 2021, Proceedings (Lecture Notes ... and Telecommunications Engineering)

This book constitutes the refereed post-conference proceedings of the 7 th International Conference on Nature of Computation and Communication, ICTCC 2021, held in October 2021. Due to COVID-19 pandemic the conference was held virtually. The 17 revised full papers presented were carefully selected from 43 submissions. The papers of ICTCC 2021 cover formal methods for self-adaptive systems and discuss natural approaches and techniques for natural computing systems and their applications. Preface Organization Contents Vietnamese Export Growth Prediction Applying MIDAS and MF-VAR on Mixed-Frequency Data Abstract 1 Introduction 2 Related Works 3 Research Models and Data 3.1 Mixed-Frequency Models 3.2 Research Data 4 Forecast Results 4.1 Overview of Real Quarterly Export Growth of Vietnam in the Period 2006–2020 4.2 Forecast Results of Vietnam’s Export Growth Using the MF-VAR Model 4.3 Forecast Results of Vietnam’s Export Growth by MIDAS Model 5 Conclusion and Future Work Acknowledgments References Improving Morphology and Recurrent Residual Refinement Network to Classify Hypertension in Retinal Vessel Image Abstract 1 Introduction 2 Saliency Classification Background 3 Hypertension Classification Based on the Morphology and R3Net 3.1 Morphology Stage 3.2 R3Net and Saliency Classification for Hypertension Classification Stage 4 Experimental Results 5 Conclusions and Future Works Acknowledgement References The Impacts of the Contextual Substitutions in Vietnamese Micro-text Augmentation 1 Introduction 2 Related Works 3 The Approach 4 The Experiments 5 Conclusions and Future Works References Patient Classification Based on Symptoms Using Machine Learning Algorithms Supporting Hospital Admission 1 Introduction 2 Related Work 3 Dataset Description 4 Methods 5 Experimental Results 5.1 Setting 5.2 Disease Classification Task with Various Algorithms 5.3 Analysis of Disease Symptoms 6 Conclusion References Implementation of the Motion Controller for an Omni Mobile Robot Using the Trajectory Linearization Control Abstract 1 Introduction 2 The Mathematical Model of Omni-Directional Mobile Robot 2.1 Coordinates and Symbols 2.2 Robot Kinematics 2.3 Robot Dynamic 3 Controller Design 3.1 Outer Loop Control 3.2 Inner Loop Control 4 Results of Study 4.1 Location Control 4.2 Circular Trajectory 5 Conclusions Acknowledgments References Adaptive Deep Learning Technique to Predict Student’s Graduation Results Abstract 1 Introduction 2 Literature Review 3 Methodology 4 Result Analysis 4.1 Material 4.2 Experimentation and Evaluation Results 5 Conclusions and Future Works Acknowledgment References An Approach for Multiple Choice Question Answering System 1 Introduction 2 Related Works 3 The Approach 3.1 Language Model 3.2 Masked Language Model 3.3 Our Proposal 4 The Experiments 5 Conclusions and Future Works References Forecast of the VN30 Index by Day Using a Variable Dimension Reduction Method Based on Kernel Tricks Abstract 1 Introduction 2 Data 3 Method 3.1 Step 1: Eliminate Redundant or Irrelevant Variables to the VN30 Index 3.2 Step 2: Extract Factors Using the PCA Method, Build a Forecast Model, and Calculate the RMSE of This Model 3.3 Step 3: The KTPCA Method Based on the RMSE-Best Model 3.4 Step 4: Building Forecast Models of the Factors and Calculate Forecast Value of the VN30 Index 4 Results and Evaluations 4.1 Results 4.2 Analysis and Evaluation 5 Conclusions References An Improved Algorithm to Protect Sensitive High Utility Itemsets in Transaction Database Abstract 1 Introduction 2 Basic Concepts and Related Work 2.1 Basic Concepts 2.2 Research Problem 2.3 Related Work 3 Proposed Algorithm 3.1 Proposal Basics 3.2 Illustration Example 4 Experimental Results 5 Conclusion and Future Works References Nowcasting Vietnam’s RGDP Using a Kernel-Based Dimensional Reduction Method Abstract 1 Introduction 2 Preliminaries 2.1 Factor Bridge Equation Model 2.2 The Factor MIDAS Models 2.3 The KTPCA Based on an RMSE-Best Model 3 Dataset and Method 3.1 Dataset of Original Predictors 3.2 Method 4 Results 5 Update Forecasts of the RGDP Indicator in Real-Time Data Flow 5.1 Handling Ragged-Edge Data in Nowcasting Model of Macroeconomic Indicators 5.2 Sample Extension 5.3 Update Forecast of the RGDP Indicator 6 Conclusions Funding References Predicting Vietnamese Stock Market Using the Variants of LSTM Architecture Abstract 1 Introduction 2 Preparations and Methodology 2.1 Datasets 2.2 Introduction to Deep Recurrent Neural 2.3 Definition of Long-Short Term Memory (LSTM) 2.4 Definition of Bidirectional LSTM (BLSTM) 2.5 Formulation of Short-Term and Long-Term Prediction and Evaluation of Performance of Models 3 Results 4 Conclusion Acknowledgement References Dimensionality Reduction Performance of Sparse PCA Methods Abstract 1 Introduction and Contributions of the Article 2 Preliminaries 2.1 PCA, SPCA, RSPCA, and ROBSPCA Methods 2.2 Dynamic Factor Model 3 Experimental Datasets and Method 3.1 Experimental Datasets 3.2 Experimental Method 4 Results and Evaluations 5 Conclusion Funding References A Game Theory Approach for Water Exchange in Eco-Industrial Parks: Part 1 - A Case Study Without Regeneration Units 1 Introduction 2 Methodology and Model Formulation 2.1 Problem Statement 2.2 Minimizing Operating Costs 2.3 Minimizing Consumption of Natural Resources 3 Mixed-Integer Programming Reduction 3.1 Characterization of Equilibria 3.2 Mixed-Integer Formulation 3.3 Null Class as Exit Option 4 Numerical Experiments 4.1 Case Study 4.2 Results and Discussion 5 Conclusion and Perspectives References A Game Theory Approach for Water Exchange in Eco-Industrial Parks: Part 2 - A Case Study with Regeneration Units 1 Introduction 2 Methodology and Model Formulation 2.1 Problem Statement 2.2 Minimizing Operating Costs 2.3 Minimizing Consumption of Natural Resources 3 Mixed-Integer Programming Reduction 3.1 Characterization of Equilibria 3.2 Mixed-Integer Formulation 3.3 Null Class as Exit Option 4 Numerical Experiments 4.1 Case Study 4.2 Results and Discussion 4.3 Comparison Between the EIP Model Without Regeneration Units and the EIP Model with Regeneration Units 5 Conclusion and Perspectives A B References Numerical Solution of Robin-Dirichlet Problem for a Nonlinear Wave Equation with Memory Term 1 Introduction 2 Preliminaries 3 Existence and Uniqueness 4 Numerical Results 5 Conclusion References Stable Random Vector and Gaussian Copula for Stock Market Data 1 Introduction 2 Copulas and Stable Random Vectors 2.1 Copulas 2.2 Stable Random Vectors 3 Stable Random Vector and Gaussian Copula 4 Application for Vietnam Stock Market 5 Conclusion and Future Works References Numerical Results via High-Order Iterative Scheme to a Nonlinear Wave Equation with Source Containing Two Unknown Boundary Values 1 Introduction 2 Preliminaries 3 Numerical Results 4 Conclusions References Author Index