Information and Software Technologies: 28th International Conference, ICIST 2022, Kaunas, Lithuania, October 13–15, 2022, Proceedings (Communications in Computer and Information Science, 1665)

This book constitutes the refereed proceedings of the 28th International Conference on Information and Software Technologies, ICIST 2022, held in Kaunas, Lithuania, in October 2022. The 23 full papers and 3 short papers presented were carefully reviewed and selected from 66 submissions. The papers discuss such topics as ​business intelligence for information and software systems, intelligent methods for data analysis and computer aided software engineering, information technology applications, smart e-learning technologies and applications, language technologies. Preface Organization Contents Software Engineering - Special Session on Intelligent Systems and Software Engineering Advances Deep Learning-Based Malware Detection Using PE Headers 1 Introduction 2 Analysis of Malware Detection Algorithms and Data Set Structure 2.1 Detection of Malware Using File Images 2.2 Detection of Malware Using a Numeric Data String 2.3 File Characteristics for Identifying Infected Files 2.4 Portable Executable Properties for Identifying Infected Files 3 PE Format Data Set and Aspects of Its Composition 4 Analysis of Neural Network Architectures 5 Analysis of the Neural Network that Achieved the Best Results 6 Conclusion References Survey of Cloud Traffic Anomaly Detection Algorithms 1 Introduction 2 Criteria for Evaluation of Anomaly Detection Algorithms 3 Comparison of Anomaly Detection Algorithms 4 Network Monitoring Systems Able to Recognize Anomalies 5 Conclusion References Real-Time Anomaly Detection for Distributed Systems Logs Using Apache Kafka and H2O.ai 1 Introduction 2 Methods 2.1 Tool Selection 2.2 Framework Overview 3 Experimental Setup 4 Experimental Results 5 Discussion and Conclusion References Decomposition of Fuzzy Homogeneous Classes of Objects 1 Introduction 2 Morphology of Fuzzy Classes 3 Fuzzy Classes Decomposition 4 Application Example 5 Results Interpretation 6 Conclusions References Deep Learning in Audio Classification 1 Introduction 2 Background of Machine Learning and Deep Learning 2.1 Machine Learning in General 2.2 Deep Learning in Audio-Based Applications 3 DRL Algorithms for Audio Classification 3.1 Model-Based DRL 3.2 Policy Gradient-Based DRL 3.3 Value-Based DRL 4 Audio Data Pre-processing and Augmentation 4.1 Data Pre-processing 4.2 Data Augmentation 5 Deep Learning in Audio-Based Applications 6 Conclusion References Research of Cryptocurrencies Function of Instant Payments in the Tourism Sector: Risks, Options, and Solutions 1 Introduction 2 Cryptocurrencies and Instant Payment Options 2.1 Stablecoins 2.2 Second Layer Technologies Supporting Nearly Instant Transaction Processing 2.3 The Risks of Instant Payments 3 Instant Payment Solutions 4 Conclusions References Random Forest Classifier for Correcting Point Cloud Segmentation Based on Metrics of Recursive 2-Means Splits 1 Introduction 2 Related Work 2.1 Depth Data Representations 2.2 Point Cloud Segmentation 3 Suggested Point Cloud Cut to Improve Segmentation Accuracy 3.1 Problem Statement 3.2 Data Formats and Preprocessing 3.3 Overview 3.4 2-Means Split and Metrics of the Split 3.5 Random Forest Classifier Based on the Metrics of the Split 3.6 Performance Implications 4 Experimental Evaluation of Suggested Point Cloud Cut Algorithm 4.1 Performance Results 4.2 Accuracy Results 4.3 Overall Segmentation Time Reduction Estimation 5 Discussion and Further Work 5.1 Theoretical and Practical Findings 5.2 Further Work References Automated System and Machine Learning Application in Economic Activity Monitoring and Nowcasting 1 Introduction 2 The Concept of Economic Activity 3 Factors Characterising Economic Activity and Classical and Alternative Indicators 3.1 The New Approach to Economic Activity Analysis 3.2 Factors of Economic Activity and Classical and Alternative Indicators 4 Economic Activity Monitoring System 4.1 Process of the Economic Activity Monitoring System 5 Conclusion References Business Intelligence for Information and Software Systems - Special Session on Intelligent Methods for Data Analysis and Computer Aided Software Engineering Artificial Intelligence Solutions Towards to BIM6D: Sustainability and Energy Efficiency 1 Introduction 2 Methodology 2.1 Data Analysis and Feature Engineering 2.2 Machine-Learning Models 2.3 Accuracy Evaluation Metrics 3 Predictions of Energy Consumption in Buildings 3.1 Overview of the Dataset 3.2 Experimental Results 4 Conclusion References The Only Link You'll Ever Need: How Social Media Reference Landing Pages Speed Up Profile Matching 1 Introduction 2 Related Work 2.1 Digital Twins in the Context of Cyber Threats 2.2 Matching User Profiles Across Social Media 3 Backtracking of Digital Traces 3.1 Towards Digital Twin Compilation 3.2 Dataset and Link Analysis 4 Discussion 5 Conclusion References Enhancing End-to-End Communication Security in IoT Devices Through Application Layer Protocol 1 Introduction 2 Literature Review 3 Methodology 3.1 Encryption Using AES in IoT (EAES-IoT) 4 Proof of Concept 4.1 Selected Protocols 4.2 Use Case 4.3 Implementation 4.4 Results 5 Discussion and Limitation 6 Conclusion and Future Work References Rationale, Design and Validity of Immersive Virtual Reality Exercises in Cognitive Rehabilitation 1 Introduction 2 Methods 3 Results 3.1 Content Validity 3.2 Open-Ended Questions Analysis 4 Conclusions References IoT Applications Powered by Piezoelectric Vibration Energy Harvesting Device 1 Introduction 2 Challenges in Building a Piezoelectric Energy Harvesting System 3 Methodology 3.1 Block Diagram of Proposed Energy Harvesting System and Supercapacitors 3.2 Principle of Operation and Fabrication of Energy Harvester 3.3 Experiment Setup 4 Result 5 Discussion of Results and Applications 6 Conclusion References Holistic Approach for Representation of Interaction Scenarios in Semantically Integrated Conceptual Modelling 1 Introduction 2 Main Concepts of Semantically Integrated Conceptual Modelling 3 Interaction-Based Way of Modelling 4 Semantically Integrated Conceptual Modelling 5 Basic Interaction Loops 6 Alternative Interactions 7 Concluding Remarks References A Model-Driven Framework for Design and Analysis of Vehicle Suspension Systems 1 Introduction 2 Literature Review 3 MVSS – Model-Driven Framework for Vehicle Suspension System 3.1 Proposed Meta-model 3.2 Tool Support 4 Proof-of-Concept 4.1 Modeling 4.2 Analysis 5 Discussion and Limitations 6 Conclusion and Future Work References Financial Process Mining Characteristics 1 Introduction 2 Basic Concepts of Financial Data Space 2.1 Financial Process Mining Aspects 2.2 Basic Concepts of Finance Process Mining 3 Specification of a Financial Process Mining Project 4 Financial Process Mining Project Specification 5 Conclusion References Intelligent Method for Forming the Consumer Basket 1 Introduction 2 Related Work 3 Proposed Method 4 Experimental Results 5 Discussion 6 Conclusions References Information Technology Applications - Special Session on Language Technologies Intelligent Invoice Documents Processing Employing RPA Technologies 1 Introduction 2 Materials and Methods 2.1 Technologies Used for Implementation 2.2 Developed Algorithm 3 Experiments 4 Discussion 5 Conclusions References Topic Modeling for Tracking COVID-19 Communication on Twitter 1 Introduction 2 Methods 2.1 Topic Modelling 2.2 Experiment Setup 3 Results 4 Conclusion References Efficiency of End-to-End Speech Recognition for Languages with Scarce Resources 1 Introduction 2 Deep Neural Networks for Speech Recognition 3 Efficiency of Lithuanian End-to-End Recognition 4 Conclusions References Improvement of Speech Recognition Accuracy Using Post-processing of Recognized Text 1 Introduction 2 Review of Methods 3 Hybrid Approach 4 Conclusions References Information Technology Applications - Special Session on Smart e-Learning Technologies and Applications Technology-Enriched Challenge-Based Learning for Responsible Education 1 Introduction 2 Characteristics of CBL 3 Technology-Enriched CBL 4 Case Findings 5 Conclusions References Open Course Integration into Formal Education: Case on Databases Course 1 Introduction 2 Related Works 3 Structure of Entity-Relationships Modeling MOOC 4 Analysis of MOOC Delivery 4.1 Analysis of Course Usage 5 Student Feedback on Course Quality and Effectiveness 6 Conclusions References The Ways of Recognition of Open Online Courses 1 Introduction 2 Cases on Recommendations for MOOC’s Recognition in the Countries 3 Conclusions References A Case Study on Gaming Implementation for Social Inclusion and Civic Participation 1 Introduction 2 Literature Review 3 Levels Based Games Implementation 4 Conclusions References Designing MOOC Based on the Framework for Teacher Professional Development in STEAM 1 Introduction 2 The Search of Teachers Professional Development Framework 2.1 The Analysis of Existing Models 2.2 Theories and Models Adaptable in the STEAM Context 3 Proposed Framework for Teachers Professional Development in STEAM 4 Methodology 5 Results and Discussion 5.1 Key Topics of Platform 5.2 MOOC’s Relationship with the Proposed Teachers Professional Development Framework in STEAM 6 Evaluation of the STEAM Course Oriented Toward r-learning in MOOC 7 Findings 7.1 Objectives of the MOOC 7.2 Content of the MOOC 7.3 Features of the Platform 7.4 Monitoring of the MOOC 8 Limitations 9 Conclusions References Author Index