Cybernetics Perspectives in Systems: Proceedings of 11th Computer Science On-line Conference 2022, Vol. 3 (Lecture Notes in Networks and Systems, 503)

This book contains the refereed proceedings of the Cybernetics Perspectives in Systems session of the 11th Computer Science On-line Conference 2022 (CSOC 2022), which was held in April 2022 online. Papers on modern cybernetics and informatics in the context of networks and systems are an important component of current research issues. This volume contains an overview of recent method, algorithms and designs. Preface Organization Program Committee Program Committee Chairs Program Committee Members Technical Program Committee Members Organizing Committee Chair Conference Organizer (Production) Conference Web site, Call for Papers Contents Method of Statistical Processing and Adaptive Estimation of Multispectral Aerospace Monitoring Data Abstract 1 Introduction 1.1 Problem Setting 2 Model of Observation and Statistical Processing of Images 3 Algorithm of Adaptive Statistical Processing of Images 3.1 Step 1 3.2 Step 2 4 Conclusion References Providing Security for Critical Assets. Challenges and Prospects Abstract 1 Introduction 2 Concepts and Terminology 3 Threat Model and Security Profile 4 Risk Management 5 Cost of CASS 6 Goals of Security Systems 6.1 The First Goal 6.2 The Second Objective 6.3 The Third Objective 7 Security Criteria 8 Conclusion References Electromagnetic Communication in Deep Space Between Mutually Moving Apparatus Abstract 1 Introduction 2 One-Dimensional Electromagnetic Field with Radiator and Receivers 3 The Radiator Moves Relative to a Stationary Receiver 4 The Receiver Moves Relative to the Stationary Radiator 5 The Radiator Surpasses the Receiver 6 The Receiver Surpasses the Radiator 7 Discussion of Results 8 Conclusion References Modeling the Spread of a Message in a Population with Differential Receptivity Abstract 1 Introduction 2 Model 3 Numerical Experiments 3.1 Experiment 1 3.2 Experiment 2 References Comparative Analysis of Big Data Acquisition Technology from Landsat 8 and Sentinel-2 Satellites Abstract 1 Introduction 2 Materials and Methods 2.1 Technology for Obtaining Remote Sensing Data from the Landsat- 8 Satellite 2.2 Digital Spectrum of Reflected Signals of RGB Channels. Sentinel-2A Satellites. 3 Result and Discussion 4 Conclusion References Implementation of the Automated Algorithm for Diagnosis of PCOS Based on Rotterdam 2003 Criteria Abstract 1 Introduction 2 Materials and Methods 3 Results 4 Discussion 5 Conclusions References Use of Remote Sensing Data in Intelligent Agrotechnology Control Systems Abstract 1 Introduction 2 Monitoring the Condition of Agricultural Land and Organizational Management of Agricultural Technologies 2.1 Introductory Remarks 2.2 Making Decisions on Planting Dates 2.3 Making Decisions on Feed Harvest Dates 3 Management of Agricultural Technologies in Real Time 3.1 General Notes 3.2 Spatial Correction of Optimal Control Programs 4 Conclusion References Utilization of RTOS Solutions in IoT Modules Based on RISC Microcontrollers Abstract 1 Introduction 2 RTOS Implementation in Microcontrollers 3 RTOS Systems 3.1 FreeRTOS 3.2 Zephyr RTOS 4 IoT Module as an Application with RTOS 5 Results and Discussion 5.1 Definition of Tests 5.2 Measurements Results 6 Conclusions Acknowledgment References A Monitoring System Design for Smart Agriculture Abstract 1 Introduction 2 State of the Art 3 Design of the Proposed Monitoring System for Smart Agriculture 4 Implementation of the Proposed Monitoring System for Smart Agriculture 5 Conclusion References Contribution Title Assessment of the Possibilities of Modern Microprocessor Technology for Integration with Modified Algorithms of Artificial Immune Systems in Complex Objects Control Abstract 1 Introduction 1.1 Research Problem Statement 2 Materials and Research Methods 3 Assessment of the Capabilities of Modern Microprocessor Technology for Integration with Modified AIS Algorithms 4 Developing a Graphical Model Using the Ishikawa Method for Transforming AIS Models 4.1 Transformation of AIS Models to Solve Control Problems. 5 Conclusion Acknowledgments References Student or Human Operator? Objective Results and Subjective Perceptions of the Process and Results of Offline and Online Learning Abstract 1 Introduction 2 Research Methods 3 Results 4 Discussion 5 Conclusion References Implementation of Data Mining Using k-Nearest Neighbor Algorithm for Covid-19 Vaccine Sentiment Analysis on Twitter Abstract 1 Introduction 2 Recent Studies 3 Result and Analysis 3.1 Research Framework 3.2 Data Collection 3.3 Labeling 3.4 Preprocessing 3.4.1 Cleaning 3.4.2 Case Folding 3.4.3 Tokenizing 3.4.4 Normalization 3.4.5 Stemming 3.4.6 Stopword 3.5 K-Nearest Neighbor Classification 3.5.1 Word Weighting (TF-IDF) 3.5.2 Distribution of Training Data and Testing Data 3.5.3 Sentiment Analysis with K-Nearest Neighbor 3.6 Evaluation 4 Conclusion References Towards Intelligent Vision Surveillance for Police Information Systems Abstract 1 Introduction 1.1 Research Question and Contributions 2 Theoretical Background 2.1 Related Works 2.2 Selected Theoretical Techniques 3 The Proposed Framework for Intelligent Vision Surveillance 3.1 Data Acquisition Phase 3.2 Image Pre-processing Phase 3.3 Detection Phase 3.4 Evaluation Metrics 4 Experimental Evaluations and Results 4.1 Data Description and Experimental Setting 4.2 Experiment 1: Suspicious Behaviors Such as an Individual Loitering in One Place 4.3 Experiment 2: Benchmarking Popular Publicly Available Water Surface Video Dataset for Detection of Standing Too Long in a Place 5 Conclusion Acknowledgment References Artificial Intelligence Systems Based on Artificial Neural Networks in Ecology Abstract 1 Introduction 2 Non-algorithmizable Artificial Intelligence Systems (AIS) 3 Why ANNs Cannot be Brain Neural Networks Models in the Literal Sense 4 The New ANN-Based AIS New Properties 5 Discussion 6 Conclusions References Methodological Aspects of the Valuation of Digital Financial Assets Abstract 1 Introduction 2 Materials and Methods 2.1 Research Methods 2.2 Experimental Research Base 2.3 Research Stages 3 Results 3.1 Object and Method of Valuation of DFA 3.2 Basic Principles of Valuation of DFA 4 Discussions 5 Conclusion References Capabilities of Artificial Neuron Networks for System Synthesis in Medicine Abstract 1 Introduction 2 Object and Methods 3 Results 4 Discussion 5 Conclusions References Improving the Linkage of Internet Exchange Points Through Connected ISPs ASes 1 Introduction 2 Related Works 3 Data Sources and Methodologies 3.1 Current Status of Selected IXPs 3.2 Tracing with TraIXroute Tool 4 Results 4.1 Link Between IXPs Across Their ISPs 4.2 Peering 5 Conclusion References Ranking Requirements Using MoSCoW Methodology in Practice Abstract 1 Introduction 2 Problem Description 2.1 Determination of the Reasons Preventing the Bank from Entering the Target Sales Figures 2.2 Identification of Problems in Setting up Communications with Clients of the Bank 2.3 Identification of Stakeholders for the Development of a Module for Supporting Processes of Interaction with Customers 2.4 Functions of the Bank for Communication with Customers 3 Prioritizing Requirements in Practice 3.1 Ranking Requirements by the MoSCoW Methodology 4 Conclusion References Novel Experimental Prototype for Determining Malicious Degree in Vulnerable Environment of Internet-of-Things Abstract 1 Introduction 2 Related Work 3 Problem Description 4 Proposed Methodology 5 System Design 6 Results Discussion 7 Conclusion References Predicting Student Dropout in Massive Open Online Courses Using Deep Learning Models - A Systematic Review Abstract 1 Introduction 2 Methodology 2.1 Source Identification 2.2 Articles Selection and Screening 2.3 Source Evaluation and Eligibility Criteria 2.4 Data Analyses and Synthesizing of Literature 3 Discussion of Results 3.1 Predicting Student Dropout Using Deep Learning Models in MOOCs 3.2 Attributes Relevant for Predicting Student Dropout 3.3 Research Challenges and Opportunities for Student Dropout Prediction in MOOCs During the Pandemic 4 Conclusion and Future Work References Methods of Evaluation of Substrate Radioactive Contamination Using Unmanned Radiation Monitoring Complex Abstract 1 Introduction 2 The Main Part 3 Mathematic Model of Evaluation of Meteorological Parameters, Defining the Atmosphere Stable State Under Surface Layer Model 4 Mathematical Model of Radioactive Impurities Transfer in Environment 5 Radiation Situation Measurement System Using URMC 6 RMC Readings Calibration 7 Conclusion References Co-evolutionary Self-adjusting Optimization Algorithm Based on Patterns of Individual and Collective Behavior of Agents Abstract 1 Introduction 1.1 Background 2 Methods 2.1 Proposed Methodology 2.2 Theoretical Basis 2.3 Co-evolutionary Self-adjusting Optimization Algorithm: Discussion 3 Experimental Results and Discussion 4 Conclusion Acknowledgements References Use of Machine Learning to Investigate Factors Affecting Waste Generation and Processing Processes in Russia Abstract 1 Introduction 2 Related Works 3 Methods 4 Problem Statement 5 Results 6 Discussion 7 Conclusion References Improved Genetic Local Search Heuristic for Solving Non-permutation Flow Shop Scheduling Problem 1 Introduction 1.1 Literature Review 2 Improvement Genetic Local Search Heuristic 2.1 Genetic Local Search 3 Computational Results 3.1 Test Problems 3.2 Evaluation of the Improved Genetic Local Search Heuristic 4 Conclusion References Software Package for Information Leakage Threats Relevance Assessment Abstract 1 Introduction 2 Review and Analysis of the Literature 3 Methods and Models 4 Experimental Verification of a Software Package for Assessing the Relevance of Information Leakage Threats 5 Experiment 6 Discussion of the Results of the Experiment 7 Conclusion References Integration of a Digital Twin into Production Line Control Abstract 1 Introduction 2 Methodology 2.1 Data Acquisition 2.2 Modelling 2.3 Validation 3 Results and Discussion 3.1 Experiment 1 3.2 Experiment 2 3.3 Experiment 3 4 Conclusion Acknowledgement References An Ensemble Mode Decomposition Combined with SVR-RF Model for Prediction of Groundwater Level: The Case of Eastern Rwandan Aquifers Abstract 1 Introduction 2 Related Work 3 Materials, Tools and Methodology 3.1 Case Study and Available Data 3.2 Methods 4 Results and Discussion 5 Conclusions References Computer Modeling of Manufacturers Behavior on the New Product Market 1 Introduction 2 Modeling the Demand for a New Product and Defining a Pricing Strategy 3 Modeling the Behavior of Competitors in the Market of a New Product 4 Results of Computer Realization 5 Conclusion References Comparison of K-means-Based Network Partition Algorithms with Different Initial Centers Seeding Abstract 1 Introduction 2 Previous Algorithms 3 The Proposed Algorithms for Seeding K-means for Networks 3.1 Basic K-means Algorithm for Networks and Its Optimized Extension 3.2 K-means++ for Networks and Random Seeding 3.3 Community Detection Based Seeding 4 Testing and Results 4.1 Tested Networks 5 Conclusions Acknowledgments References Digital Educational Resources in Teaching Abstract 1 Introduction 2 Materials and Methods 3 Results and Discussions 4 Conclusion Acknowledgements References Mathematical Modeling and Visualization of Large-Scale Flooding in the Flood Plain of Naryn River Using OpenFOAM Abstract 1 Introduction 2 Mathematical Model 2.1 Determination of the Interphase Boundary 2.2 Generation of the Computational Grid 2.3 Mesh Generation Using SnappyHexMesh Utility 3 Initial Conditions 4 Boundary Conditions 4.1 Discretization Methods and Solution of Linear Equations System 5 Modeling the Flow During a Dam-Break Flooding in a Real Terrain 6 Conclusion References Evaluation of Acoustic Gunshot Localization Methods on Helicopters with Environmental Sound Simulations Abstract 1 Introduction 2 Sound Characteristics of the Problem Field 2.1 Mission Requirements and Scenarios 2.2 Implementation Challenges 2.3 Helicopter Sound Characteristics 2.4 Gunshot Sound Characteristics 3 Simulation of Factors that Affect Gunshot Localization 3.1 The Simulation Environment 3.2 Outdoor Environmental Parameters: Temperature, Humidity and Pressure, T-H-P 4 Results 4.1 Number of Microphones, M 4.2 Source to Microphone Array Distance, D 4.3 Microphone Spacing, S 4.4 Angle of Incidence, θ 4.5 STFT Size 5 Conclusions References Coherent Demodulation of APSK and QAM Signals Abstract 1 Introduction 2 APSK Signal 3 Demodulation Algorithm 4 Digital Demodulation Implementation 5 Demodulator Responses 6 Making Decision on the Received Symbol 7 Noise Immunity of the Digital Demodulation Algorithm 8 Conclusion Acknowledgements References About the Set of Independent Paths in the Graph Abstract 1 Introduction 2 Some Approaches to the Algorithmizing of the Problem 3 The Generation of Input Data Algorithms for the Testing 4 The Formal Description of Algorithms 4.1 Algorithm 1a 4.2 Algorithm 1B 4.3 Algorithm 2 4.4 Algorithm 3 5 Some Results of Computational Experiments and Conclusion References Binary Matrices with a Recurrent Element Derivation Rule and Their Properties and Applications Abstract 1 Introduction 2 Methods 3 Properties of the Binary Matrices of a Pascal’s Triangle Type 4 Binary Matrices with Forbidden Positions 5 Discussions 6 Conclusion Acknowledgments References A Deep Learning Approach to Diabetic Retinopathy Classification 1 Introduction 2 Related Works 3 Dataset 4 Methodology 4.1 Optimizer and Loss Function 5 Results and Discussion 6 Conclusion References Dependence of the Informativity of the Formed Patterns on the Quality of the Initial Data Sample Abstract 1 Introduction 2 Materials and Methods 3 Results 4 Conclusions Acknowledgements References Modeling of Critical Combinations of Events in Industrial Monitoring by Unmanned Aerial Vehicles Abstract 1 Introduction 2 Statement of the Problem 3 Approach to Solving the Problem 4 Scenario Analysis of Accidents and Their Prevention 5 Conclusion References A Network Science Approach to Quantify the Extent of Co-occurrence of an Offense with Other Offenses in a Crime Event Abstract 1 Introduction 2 Related Work 3 Methods 3.1 Data Set 3.2 Data Preprocessing 3.3 Clustering Algorithms 3.4 Eigenvector Centrality 4 Results 4.1 Co-occurrence Matrix 4.2 Co-occurrence Index 5 Conclusions and Future Work Acknowledgement References Efficiency of Public Procurement in Russia Abstract 1 Introduction 2 Methods 2.1 About the Contract System 2.2 Principles of Public Procurement 2.3 The Essence of the Concept of Public Procurement Efficiency 3 Results 4 Discussions 5 Conclusion References The Development of Electroencephalogram (EEG) in Neuromarketing Using Hedonic and Utilitarian Motivation Abstract 1 Introduction 2 Literature Review 3 Research Methodology 3.1 Phase 1: Comprehensive Literature Review 3.2 Phase 2: Preliminary Testing 3.3 Phase 3: Data Collection 3.4 Phase 4: Model Development 3.5 Phase 5: Testing and Results 4 Result 5 Summary Acknowledgment References Understanding Data Toward Going to Data Science 1 Introduction 2 A Review for the Problem 3 Methodology: Algorithm 4 A Discussion 4.1 For Establishing a Science 4.2 To Define the Frameworks 5 Conclusion References Detection of Locusta migratoria and Nomadacris septemfasciata (Orthoptera: Acrididae) Using MobileNet V2 Quantized Convolution Neural Network, Kazungula, Zambia Abstract 1 Introduction 1.1 MobileNet V2 Quantised 2 Related Works 3 Methodology 3.1 Dataset 3.2 Data Pre-processing 3.3 Model Training 4 Results 5 Conclusion Acknowledgments References Lung Cancer Segmentation Using Enriched Fuzzy Back-Propagation Neural Network Abstract 1 Introduction 2 Abnormality and Normality Detection in Lungs Using SIFT and SVM Classifier 2.1 Feature Extraction Using SIFT 2.2 Abnormality Detection Using SVM 3 Lung Cancer Segmentation Using EFBPN 3.1 Adaptive Local Information Induced Fuzzy Clustering Method (ALIFCM) 3.2 Fuzzy Based Training Vector Quantization 3.3 Multi-directional Flipped Wavelet Transform (MDFWT) Based Training Vector Preparation 3.4 BPN Based Cancer Object Segmentation 4 Result and Analysis 4.1 Mean Square Error (MSE) Analysis for Lung Cancer Segmentation on DB-tCIA Database 4.2 Mean Square Error (MSE) Analysis for Lung Cancer Segmentation on DB-lOLA-11 Database 4.3 Peak Signal to Noise Ratio (PSNR) Analysis for Lung Cancer Segmentation on DB-tCIA Database 4.4 Peak Signal to Noise Ratio (PSNR) Analysis for Lung Cancer Segmentation on DB-lOLA-11 Database 5 Conclusion and Future Development References Adaptive Filters Detection of State Change in Pseudonomas Putida Cultivation 1 Introduction 2 Methods 2.1 Adaptive Filter 2.2 Adaptive Novelty Detection Methods 3 Results 4 Conclusion References A Review of Deep Learning Models for Detecting Cyberbullying on Social Media Networks Abstract 1 Introduction 1.1 Contribution of the Study 2 Materials and Methods 2.1 Search Strategy 2.2 Study Selection 2.3 Eligibility Criteria and Quality Assessment 3 Results Analysis 3.1 Deep Learning-Based Cyberbullying Detection Models 3.2 Psychological Effects and Types of Cyberbullying in Social Networks 3.3 Datasets for Detecting Cyberbullying on Social Media Platforms 3.4 Identified Research Gaps in Detecting Cyberbullying in Social Networks Using Deep Learning Techniques 4 Conclusion and Future Work References Quantitative Analysis of Climatic Variability in Relation to Surface Loss with Landsat Data in Peruvian Snow-Capped Mountains 2010–2020 Abstract 1 Introduction 2 Literature Review 2.1 Background 2.1.1 Climate Variability 2.1.2 Glacier Retreat 2.2 Situation of Mountain Glaciers in Peru 2.2.1 Andean Region Climate 2.3 Regression Analysis 2.3.1 Multivariate Regression 2.3.2 Validation of Regressions Models 3 Materials and Methods 3.1 Study Area 3.2 Data Extraction Methodology 3.3 Data Analysis and Processing 3.4 Experimental Design 4 Results 4.1 Descriptive Statistics by Snowfall for the Variable Temperature 4.2 Descriptive Statistics by Snowfall for the Variable Precipitation 4.3 Descriptive Statistics by Snowfall for the Variable Area 4.4 Graphical Statistical Interpretation by Snowfalls 4.5 Multivariate Statistical Prediction Models for Snowfall 4.5.1 Regression Model of Huaytapallana Glacier 4.5.2 Regression Model of the Veronica Glacier 4.5.3 Regression Model of Coropuna Glacier 4.5.4 Regression Model of the Huascarán Glacier 5 Conclusions References Assessing the Bank Performance in the Process of Digital Innovation Abstract 1 Introduction 2 The Banking Sector: The Role in the National Economy and Development Trends in the Context of the Digitalization 3 Trends of Digitalization in the Economy and Banking Sector of Russia 4 Modeling the Performance of Russian Banks in the Context of the Digitalization 5 Conclusion References Methodology for Analyzing the Scientific and Technical Complexes State Dynamics Abstract 1 Introduction 2 Materials and Methods 3 Results 4 Discussion 5 Conclusion Acknowledgments References Testing EMC Properties of High-Speed PLC Adapters 1 Introduction 2 Testing EMC Properties of PLC Adapters 3 Measurement of Radiated Emissions and Test Setup of PLC Adapters 4 Measured Results and Their Interpretation 5 Immunity Test Against RF Electromagnetic Field 6 Tested Results and Their Interpretation 7 Conclusion References Hybrid Algorithms for Managing the Implementation of Convergent Research Abstract 1 Introduction 2 Materials and Methods 3 Results 4 Discussion 5 Conclusion Acknowledgments References Analytical and Simulation Modeling in the System of Risk-Oriented Design and Usage Management of Complex Organization and Technical Objects Abstract 1 Introduction 2 Methodology for the Construction and Use of a Simulation Model for Decision Quality Management in the Creation of COTO, Functioning Under Conditions of Uncertainty of a Probabilistic Nature 3 Conclusion Acknowledgement References Author Index