Nature of Computation and Communication: 8th EAI International Conference, ICTCC 2022, Vinh Long, Vietnam, October 27-28, 2022, Proceedings

Preface
Organization
Contents
Fuzzy Logic, Quantum Logic, Data Virtualization, Automated Test
Modeling with Words: Steps Towards a Fuzzy Quantum Logic
	1 Introduction
	2 Preliminary: Linguistic Variables and Quantum Fuzzy Logic
		2.1 Quantum Fuzzy Logic
		2.2 Hedge Algebra and Linguistic Variables
	3 Steps Towards Linguistic Fuzzy Quantum Logic
		3.1 Hedge Algebra and Orthomodular Lattice (OML)
		3.2 Fuzzy Quantum Logic Based on Hedge Algebra
	4 Conclusions and Forthcoming Study
	References
Proposed Solution for Log Collection and Analysis in Kubernetes Environment
	1 Introduction
		1.1 Microservices, Containerisation and Orchestrators
		1.2 Logging in Kubernetes
	2 Problem Analysis
		2.1 Definition of Requirements
		2.2 High Available PLG Stack Solution
		2.3 Azure Kubernetes Services (AKS)
		2.4 Alerting Solution
	3 Discussion and Results
		3.1 Volume Test
		3.2 High Availability Test
		3.3 Decision Support and Forensic Analysis
		3.4 Alerting
	4 Conclusion
	References
Automated Tests Using Selenium Framework
	1 Introduction
	2 Methods and Technologies
		2.1 Selenium Tools
	3 Test Design and Implementation
		3.1 Defining the Test Case
		3.2 Test Script
	4 Assessment
	5 Conclusion
	References
Data Mining
The Performance of a Kernel-Based Variable Dimension Reduction Method
	1 Introduction
	2 Dynamic Factor Model
		2.1 Dynamic Factor Model
		2.2 The Factor BE Model
		2.3 Factor MIDAS Model
	3 Kernel-Based Factor Extraction Method
		3.1 The KTPCA Method
		3.2 The KTPCA# Method
	4 Dimensional Reduction Performance of KTPCA# Method
		4.1 For the Same Sampling Frequency Data Sets
		4.2 For Data Sets of Predictors at Mixed Sampling Frequencies
		4.3 Experimental Method
		4.4 Results
	5 Conclusions
	References
Detecting Major Extrema in Streaming Time Series
	1 Introduction
	2 Related Works
	3 Background
		3.1 Streaming Time Series
		3.2 Major Extrema
		3.3 Online Forecasting
	4 Proposed Method
	5 Experimental Evaluation
		5.1 Detecting Major Extrema in Streaming Time Series of Hydrology
		5.2 Online Forecasting in Streaming Time Series Using Major Extrema
	6 Conclusions
	References
Use of Raman Spectroscopy to Diagnose Diabetes with SVM
	1 Introduction
	2 Related Work
	3 Machine Learning
	4 Support Vector Machine
	5 Experimental Setup and Design
	6 Implementation for PCA-SVM
	7 Conclusion
	References
A New Approach for Visual Analytics Applying to Multivariate Data of Student Intakes in the University
	1 Introduction
	2 Human Vision Organs
		2.1 The Amazing Possibilities of Human Vision
		2.2 Human Vision Awareness Evolution
		2.3 Human Visual Viewing-Thinking Mechanisms
		2.4 The Infographics Capture Characteristics of the hEs
	3 Related Words
		3.1 Discovering Knowledge from Multivariate Data
		3.2 Taxonomy of the Models Discovering Knowledge from Multivariate Data
		3.3 Related Concepts
	4 Visual Analytics System
		4.1 Visual Analytics System of Multivariate Data
		4.2 Human Observation Abilities
		4.3 Visual Analytics of a University Data
		4.4 Structured Hierarchical Tree by Multivariate Groups
		4.5 Viewing – Thinking Model Visually Analyzing Multivariate Data
		4.6 Questions with Relational Calculus Expressions on Tuples and Domains
	5 Visually Analyzing of University Multivariate Data
		5.1 Visually Analyzing Multivariate Data with Questions and Answers
		5.2 Visually Analyzing Multivariate Data of the Student Intakes
		5.3 Strategy for Answering Visual Analysis Questions
	6 Conclusions
	References
Machine Learning, Deep Learning
Predicting Academic Performance of High School Students
	1 Introduction
	2 Related Work
	3 Proposed Method
		3.1 Data Collection
		3.2 Data Pre-processing
		3.3 Using Machine Learning Models
		3.4 Processing Imbalance Dataset
	4 Experimental Result
		4.1 Machine Learning Model Evaluation
		4.2 Experimental Result
		4.3 Important Features
	5 Conclusion and Future Work
	References
Gross Domestic Product Prediction in Various Countries with Classic Machine Learning Techniques
	1 Introduction
	2 Related Work
	3 Method
	4 Experiments
		4.1 Environmental Settings
		4.2 Performance Evaluation
		4.3 GDP Prediction with Various Algorithms
	5 Conclusion
	References
Palmprint Recognition Using Learning Discriminant Line Direction Descriptors
	1 Introduction
	2 Our Proposal Method
		2.1 Gabor Filter for Detecting Line of Palmprint
		2.2 DDN
		2.3 Multiple Line Directions Descriptor Using DDN
		2.4 2DLDA
		2.5 (2D)2LDA
		2.6 LDLDD for Palmprint Recognition
	3 Experimental Results
	4 Conclusion
	References
Layering Images with Convolution Neural Networks on Cloud Computing
	1 Introduction
	2 AWS Cloud and Interactive Engineering in RStudio
		2.1 AWS Cloud
		2.2 Interactive Engineering with AWS in RStudio
		2.3 Organize Data on AWS
	3 Convolutional Neural Network Learning
		3.1 VGG-19
		3.2 ResNet50
		3.3 InceptionV3
	4 Experiment
		4.1 Data
		4.2 Tool
		4.3 Scenario
	5 Discussion
	6 Conclusion
	References
Author Index