Information and Communication Technologies in Education, Research, and Industrial Applications: 17th International Conference, ICTERI 2021 Kherson, Ukraine, September 28 – October 2, 2021 Revised Selected Papers

This book constitutes the refereed proceedings of the 17th International Conference on Information and Communication Technologies in Education, Research, and Industrial Applications, ICTERI 2021, held in Kherson, Ukraine, during September 28–October 2, 2021. The 12 full papers were included in this book were carefully reviewed and selected from 24 submissions. They were organized in topical sections as follows: The Fundamentals of ICT; Natural Language Processing for the Ukrainian Language; The Applications of Novel ICT; and ICT in Teaching and Learning. Preface 6 Organization 8 Contents 14 The Fundamentals of ICT 16 An Approach to Construct Final Random System with Output 17 1 Introduction 17 2 Related Work 19 2.1 Semantics Creation 19 2.2 Studying Deterministic Automaton with Outputs 19 2.3 Studying State Based Systems 20 2.4 Studying Random Systems with Outputs 20 2.5 Scientific Gap 20 3 Deterministic Systems with Output 20 4 Randomization as Endofunctor 21 5 Category of Random System with Output 22 6 Toward a Final Random System with Output 24 6.1 Functional Representation of Labelled Trees Without Leaves 24 6.2 Construction of a System 27 6.3 Construction of Morphisms Family 28 6.4 Conjecture About the Final Coalgebra 32 7 Conclusions 32 Appendix A Coalgebraic Notions and Notation 33 Appendix B Sequences and Related Notation 34 References 35 Algebraic Virtual Machine and Its Applications 37 1 Introducing the Algebraic Virtual Machine (AVM) Platform 37 2 Algebraic Server 40 3 Semantics of Discrete and Continuous Processes Modeling in AVM 42 4 Front-End Component 44 5 Adding New Methods 45 6 Method of Efficiency Estimation 47 7 Case Study 1. Consensus Algorithm Analysis 48 8 Case Study 2. Formalization of Continuous Processes in Thermodynamics 51 9 Current Status and Future Development 53 References 54 Cellular Technology Based Overlay Networks for the Secure Control of Intelligent Mobile Objects: Models and Numerical Study 56 1 Motivation 57 2 Work Related Analysis and Objectives 58 3 Methodology and Models 59 3.1 The Principles and Indicators 59 3.2 The Models 62 4 Algorithms for Overlay Network Nodes Operation 65 4.1 The Data Source Functioning Algorithm 66 4.2 The Destination Functioning Algorithm 66 5 Numerical Studies 67 5.1 Testing of the Topologies of Cellular Networks 67 5.2 Research of Sources of Denial into the Overlay Network 70 5.3 Discussion of the Research Results 72 6 Conclusions 74 References 75 Learned and Native Concepts in Latent Representations of Terrain Images 78 1 Introduction 78 1.1 Related Research 79 1.2 Motivation 80 2 Materials and Methods 81 2.1 Methodology 81 2.2 Stacked Convolutional Autoencoder Model 82 2.3 Data 83 2.4 Training 84 2.5 Unsupervised Latent Structure 85 3 Results 86 3.1 Overall Characteristics, Stage 1 Distribution 86 3.2 Latent Distributions of External Classes 86 3.3 Unsupervised Categorization 88 3.4 Native Concepts in Unsupervised Learning 88 3.5 Unsupervised Learning of Native Concepts 91 3.6 Native and Learned Concepts 92 3.7 Generative Ability and Latent Landscape 94 4 Discussion 95 5 Conclusions 96 References 97 Natural Language Processing for the Ukrainian Language 99 Automated Identification of Discourse Connectives in Ukrainian 100 1 Introduction 100 2 Related Work 101 2.1 NLP Resources for Ukrainian 101 2.2 Discourse Level Lexical Resources in Other Languages 101 2.3 Discourse Connectives and Text Genres 102 2.4 Automatic Detection of Discourse Connectives 103 3 Ukrainian Connective Lexicon Construction 104 3.1 Format of the Connective Lexicon 104 3.2 Semi-automatic Candidate Selection 105 3.3 Crowd-Sourced Correction 105 3.4 Expert Correction 106 4 UK-Dimlex: The Lexicon of Ukrainian Discourse Markers 107 4.1 Comparison to Other Connective Lexicons 107 5 Ukrainian Connectives in Spoken and Written Discourse 110 5.1 Data 111 5.2 Annotation 111 5.3 Results 112 6 Automatic Detection of Connectives 114 6.1 Automatic Extraction 114 6.2 Problematic Instances 115 6.3 Metrics and Results 116 7 Conclusion and Outlook 117 References 118 Evaluation and Analysis of the NLP Model Zoo for Ukrainian Text Classification 122 1 Introduction 122 2 Dataset 124 2.1 Data Sources 124 2.2 Data Preparation 124 2.3 Task Formulation 127 3 Model Zoo 128 3.1 Multilingual BERT 128 3.2 Slavic BERT 128 3.3 ukr-RoBERTa 128 3.4 ukr-ELECTRA 128 3.5 mBART50 129 3.6 XLM-R 129 3.7 Overview 129 4 Experiments 130 5 Results 130 5.1 Analysis 130 5.2 Model Interpretation 132 6 Conclusion 134 References 134 The Applications of Novel ICT 137 An Information Technology for Detection and Fixing Effort Estimation of Business Process Model Structuredness Errors 138 1 Introduction 138 2 Related Work 139 3 Problem Statement 141 4 Detection and Fixing Effort Estimation of Business Process Model Structuredness Errors 142 4.1 Improved Gateway Mismatch Measure 142 4.2 Detection of Business Process Modeling Errors 144 4.3 Effort Estimation of Business Process Modeling Error Fixing 145 4.4 Recommendations Formulation to Achieve Sound Business Process Models 149 5 Information Technology Design and Development 151 5.1 Conceptual Design of the Information Technology 151 5.2 Software Design and Development 154 6 Results and Discussion 157 6.1 Software Usage Examples 157 6.2 Sample Collection of Business Process Models 159 6.3 Analysis of Detected Errors and Estimated Effort 159 7 Conclusion and Future Work 161 References 162 Development of Software Architecture and Machine Learning Modules of Robo-Advisor System for Personalized Investment Portfolio Generation 164 1 Introduction 164 2 Related Works 166 2.1 Analysis of FinTech-Services 166 2.2 Main Robo-Advisors Features 166 3 Developing the High-Level Architecture of Robo-Advisor 172 4 Personalized Investment Portfolios Formation Approaches 174 4.1 Model of Investment Portfolio 174 4.2 Moving Average Forecasting Model 175 4.3 Autocorrelation Stock Price Forecasting Model 178 4.4 Asset Yield Prediction Using Machine-Learning Techniques 180 4.5 Multiple LR and LSTM Neural Networks Application Examples 182 5 Discussion 186 6 Conclusions 187 References 188 Algebraic Modeling as One of the Methods for Solving Organic Chemistry Problems 191 1 Introduction 191 2 Molecular Modeling: Related Works. Methods. Tools 193 3 Algebraic Approach. Method Brief Overview 196 4 Modeling of Molecular Interactions. Algebraic Approach 197 4.1 Modeling the Process of Atomic Bonds Creating (Valence Method) 197 4.2 Modeling of the Process of Constructing the Electronic Configuration of the Molecule (Molecular Orbital Method) 205 4.3 Modeling and Solving Some Simple Chemical Problems 207 4.4 Visualization of Simulation Results 209 5 Discussion and Conclusions 210 References 211 Performance Evaluation of Raspberry Pi 4B Microcomputer: Case Studies on MPICH Cluster, VMware ESXi ARM Fling, and Windows 11 ARM OS 214 1 Introduction 214 2 Weight-Based Load Balancing in Raspberry Pi MPICH Heterogeneous Cluster with Fuzzy Estimation of Node Computational Performance 216 2.1 Background 216 2.2 Weight-Based Load Balancing in Raspberry Pi MPICH Heterogeneous Cluster with Fuzzy Estimating of the Nodes Computational Performance 223 3 Performance Evaluation of Prime Numbers Finding Algorithm in Python on MPICH Cluster: Raspberry Pi 64-Bit OS vs Ubuntu Server on Hypervisor VMware ESXi ARM Fling 228 4 Performance Evaluation of 32-Bit Windows Application on Windows 11 ARM OS and Raspberry Pi 4B 8 GB: A Case Study of a Combinatorial Optimization Algorithm 230 5 Summary and Conclusion 234 References 235 ICT in Teaching and Learning 237 Experimental Research of Educational Content Tracking by Students Group for Distance Learning 238 1 Introduction 238 2 Related Works 240 3 Research and Project Implementation 241 3.1 Calculation of Position of Eye Center and Pupil 242 3.2 Calibration of the Gaze Focus Coordinate on the Monitor with the Pupil Position 245 3.3 Eye Focus Calculation 246 3.4 Matching Eye Focus with a Content 247 4 Results and Discussion 249 4.1 Evaluation of the Gaze Focus Coordinates Measurement Error on the Monitor with One or Two Video Cameras 249 4.2 Study of the Calibration Process Using a Single Camera on a Control Group of Students 252 4.3 Research of the Educational Content Usage According to the Gaze Focus on the Control Group of Students 255 5 Conclusions 258 References 259 Assessment of Test Items Quality and Adaptive Testing on the Rasch Model 261 1 Introduction 261 1.1 Problem Statement 261 2 Algorithm of Adaptive Testing Based on the Rasch Model 263 3 Results 268 4 Discussion 277 5 Conclusions 278 References 279 Author Index 281 This book constitutes the thoroughly refereed proceedings of the 10th International Conference on Information and Communication Technologies in Education, Research, and Industrial Applications, held in Kherson, Ukraine, in June 2014. The 16 revised full papers presented were carefully reviewed and selected from 66 submissions. The papers are organized in topical sections on framework and tools; information and communication technologies in teaching and learning; information and communication technologies in research and industrial applications.