Preface
Organization
Program Commitee
Chairman
Vice-chairmen
Members
Organization Commitee
Chairman
Vice-chairmen
Members
Contents
Analysis and Modeling of Complex Systems and Processes
Financial Risk Estimation in Conditions of Stochastic Uncertainties
1 Introduction
2 Materials and Methods
2.1 Some Approaches to Solving the Problems of Linear and Nonlinear Filtering
2.2 The General Form of Bayesian State Estimation Method
2.3 Particle Filter
3 Risk Estimation in Stochastic Environment
4 Conclusions
References
Numerical Modeling of Disk Dissolution in Melt During Gas Blowing
1 Introduction
2 Problem Statement
3 Literature Review
4 Mathematical Model
4.1 Assumptions
4.2 Equations
4.3 Boundary Conditions
4.4 Details of the Model Application and Implementation
4.5 Adequacy Checking
5 Experiment, Results and Discussion
6 Conclusions
References
Streaming Algorithm to the Decomposition of a Polyatomic Molecules Mass Spectra on the Polychlorinated Biphenyls Molecule Example
1 Introduction
2 Review of Literature
3 Problem Statement
4 Materials and Methods
4.1 Structure of Polychlorinated Biphenyls (PCBs) Mass Spectra
4.2 Methods of Comparing Curves
4.3 Proposed Approach
5 Experiment
6 Results and Discussion
7 Conclusions and Future Work
References
Method of Functional-Value Calculations of Complex Systems with Mixed Subsystems Connections
1 Introduction and Literature Review
2 Materials and Methods
3 Experiment, Results and Discussion
4 Conclusions
References
Current State of Methods, Models, and Information Technologies of Genes Expression Profiling Extraction: A Review
1 Introduction
2 Materials and Methods
3 Conclusions
References
A Method of Analytical Calculation of Dynamic Characteristics of Digital Adaptive Filters with Parallel-Sequential Weight Summation
1 Introduction
2 Literature Review
3 Problem Statement
4 Development of the Method of Analytical Calculation of Dynamic Characteristics of Digital Adaptive Filters with Parallel-Sequential Weight Summation
5 Results and Discussion
6 Conclusions
References
Simulation Modeling as a Means of Solving Professionally-Oriented Problems in Maritime Industry
1 Introduction
2 Problem Statement
3 Literature Review
4 The Statement of Basic Materials
5 Results of the Research
6 Conclusions
References
Data Mining Methods, Models and Solutions for Big Data Cases in Telecommunication Industry
1 Introduction
2 Problem Statement
3 Literature Review
4 Challenges for Telecommunication Companies and Main Features of the Subject Area
5 The Task of the Base Stations Mobile Traffic Prediction
5.1 Regression Models
5.2 Forecasting with the Prophet Module
5.3 Forecasting Using LSTM Neural Networks
6 The Task of Analyzing and Forecasting the Subscribers Churn
6.1 Description of Input Data
6.2 Model Training
6.3 Interpretation of the Results
6.4 The Characteristics Importance
6.5 Clustering
6.6 Forecasting the Moment of Subscribers Churn
7 The Task of Predicting Services in Roaming
8 The Information Technology for Big Data Analysis of the Telecommunication Company
8.1 Client-Server-Architecture for Data Processing and Risks Assessment for Telecommunication Company
9 Conclusions
References
Agile Architectural Model for Development of Time-Series Forecasting as a Service Applications
1 Introduction
1.1 Motivation
1.2 Problem Statement
1.3 Literature Review
1.4 The Paper Goal and Structure
2 Architecture Design
3 Microservices and Interservice Communication Overview
3.1 Dataset-Processing Service
3.2 Data-Collection Service
3.3 Dataset-Management Service
3.4 Model-Management Service
3.5 Data-Analysis Service
4 Case of the Study and Results Analysis
5 Conclusions
5.1 Discussion
5.2 Future Research
References
Essential R Peak Detector Based on the Polynomial Fitting
1 Introduction
2 Problem Statement
3 Literature Review
4 Method of R Peaks Detecting
4.1 R Peak Fitting with the Quadratic Polynomial Function
4.2 Criteria of R Peaks Recognition
4.3 Algorithm of R Peak Detection
5 Experiment, Results and Discussions
6 Conclusions
References
An Approach to Identifying and Filling Data Gaps in Machine Learning Procedures
1 Introduction
2 Approach to Solving the Problems of Identification and Filling in Missing Data
2.1 Procedure for Handling Data Gaps
2.2 Methods for Studying the Patterns of Occurrence of Gaps
2.3 Formation of the Final Data Set
3 Conclusions
References
Information Technology for Assessing the Situation in Energy-Active Facilities by the Operator of an Automated Control System During Data Sampling
1 Introduction
2 Problem Statement
3 Literature Review
4 Materials and Methods
5 Experiment, Results and Discussion
6 Conclusions
References
Application of Ensemble Methods of Strengthening in Search of Legal Information
1 Introduction
2 Literature Review
3 Materials and Methods
3.1 Stacking
3.2 Bagging
3.3 Boosting
3.4 Gradient Boost for the Classification Problem
3.5 Description of the Gradient Boosting Algorithm
3.6 AdaBoost
3.7 AdaBoost Technique Procedure
4 Analytical Consideration of the AdaBoost Algorithm
5 Application of AdaBoost Boosting Algorithm
6 Conclusions
References
Synthesis of Barker-Like Codes with Adaptation to Interference
1 Introduction and Literature Review
2 Materials and Methods
2.1 The Theoretical Basis
2.2 Designing a Barker-Like Code Synthesis System
3 Experiment, Results and Discussion
3.1 Testing
4 Conclusions
References
Models of Factors of the Design Process of Reference and Encyclopedic Book Editions
1 Introduction and Literature Review
2 Materials and Methods
3 Experiments, Results and Discussions
4 Conclusions
References
Analysis of Digital Processing of the Acoustic Emission Diagnostics Informative Parameters Under Deformation Impact Conditions
1 Introduction
2 Literature Review
3 Materials and Methods
4 Methodology
5 Experiment, Results and Discussion
6 Conclusions
References
Solution of the Problem of Optimizing Route with Using the Risk Criterion
1 Introduction
2 Problem Statements
3 Materials and Methods
4 Experiment, Results and Discussion
5 Conclusions
References
Automatic Optimal Control of a Vessel with Redundant Structure of Executive Devices
1 Introduction
2 Problem Statement
3 Literature Review
4 Materials and Methods
5 Experiment, Results and Discussion
6 Conclusions
References
Practice Analysis of Effectiveness Components for the System Functioning Process: Energy Aspect
1 Introduction
2 Problem Statement
3 Literature Review
4 Materials and Methods
5 Experiment, Results and Discussion
6 Conclusions
References
Method of Mathematical and Geoinformation Models Integration Based On Unification of the Ecological Data Formalization
1 Introduction and Literature Review
2 Problem Statement
3 Materials and Methods
3.1 Algorithm for Selecting a Modeling Object
3.2 Development of an Algorithm for Selecting the Rules of Coordinate Recalculation
3.3 Interaction of Modeling Geoinformation System Components
3.4 Relational Database Model
4 Results and Discussion
4.1 Generating Queries to the Database
4.2 Stage of Automated Database Creation
5 Conclusions
References
Prediction of Native Protein Conformation by a Hybrid Algorithm of Clonal Selection and Differential Evolution
1 Introduction
2 Problem Statement
3 Literature Review
4 Materials and Methods
4.1 Input Data and Solutions Presentation
4.2 Differential Evolution
4.3 Clonal Selection
4.4 Hybrid Method
5 Experiments
6 Results and Discussion
7 Conclusion
References
Reduction of Training Samples in Solar Insolation Prediction Under Weather and Climatic Changes
1 Introduction
2 Recent Works
3 Problem Statement
4 Data Model
5 Examining the Models
6 Conclusions
References
Research of Acoustic Signals Digital Processing Methods Application Efficiency for the Electromechanical System Functional Diagnostics
1 Introduction
2 Problem Statement
3 Literature Review
4 Materials and Methods
5 Experiment, Results and Discussion
6 Conclusions
References
Computer Simulation of Physical Processes Using Euler-Cromer Method
1 Introduction
2 Problem Statement
3 Literature Review
4 The Euler-Cromer Method Description
5 The Euler-Cromer Method Application to Solve Physical Tasks
5.1 Modeling the Motion of a Spherical Body in the Earth's Gravitational Field
5.2 Modeling the Motion of Electric Charges in Electromagnetic Fields
6 Conclusions
References
Automated System and Domain-Specific Language for Medical Data Collection and Processing
1 Introduction and Literature Review
2 Materials and Methods
2.1 Description of Architecture and Design
2.2 Choice of Development Environment and Tools
3 Experiment
3.1 Creation of Progressive Web Application Project
3.2 Creation of Api Service Project
3.3 Creation of Protocol Engine Project
3.4 Creation of Admin Project
3.5 Creation of Protocol Language Project
4 Results and Discussions
4.1 Deployment Process
4.2 Practical Significance
4.3 Ways to Improve and Further Development
5 Conclusions
References
Applying Visibility Graphs to Classify Time Series
1 Introduction
2 Literature Review
3 Visibility Graphs and Their Characteristics
4 Input Data
5 Description of Experiment
6 Results and Discussion
7 Conclusions
References
Theoretical and Applied Aspects of Decision-Making Systems
Assessment of the Influencing Factors Significance in Non-destructive Testing Systems of Metals Mechanical Characteristics Based on the Bayesian Network
1 Introduction
2 Problem Statement
3 Literature Review
4 Materials and Methods
5 Experiment, Results and Discussion
6 Conclusions
References
Markovian Learning Methods in Decision-Making Systems
1 Introduction
2 Related Works
3 Materials and Methods
3.1 Markov Processes of Decision Making
3.2 The Methods of Agent's Learning
4 Experiment
4.1 Calculation of Agent Strategies
4.2 Decision Making in the Tasks of the Cellular World
5 The Results of Computer Simulation
6 Discussion
7 Conclusions
References
Fine-Tuning of the Measure for Full Reference Image Quality Assessment
1 Introduction
2 Problem Statement
3 Literature Review
4 Building of the Quality Measure
4.1 Measure Description
4.2 Evaluation of Parameters
5 Experiments and Discussion
5.1 Experimental Datasets
5.2 Simulation Results and Discussion
5.3 Computational Complexity
6 Conclusions
References
A Model for Assessing the Rating of Higher Education School Academic Staff Members Based on the Fuzzy Inference System
1 Introduction
2 Problem Statement
3 Literature Review
4 Materials and Methods
5 Experiment, Results and Discussion
6 Conclusions
References
Early Revealing of Professional Burnout Predictors in Emergency Care Workers
1 Introduction
2 Problem Statement
3 Literature Review
4 Experiment, Results and Discussion
4.1 Experimental Datasets. Simulation Results
4.2 Discussion
5 Conclusions
References
Forming Predictive Features of Tweets for Decision-Making Support
1 Introduction
2 Graph Structure of Tweets
3 Analysis of Tweets Using Frequent Itemsets
4 Predictive Analytics Using Tweet Features
5 Q-Learning Using Tweet Features
6 Conclusion
References
Method for Adaptive Semantic Testing of Educational Materials Level of Knowledge
1 Introduction and Literature Review
2 Materials and Methods
3 Experiment, Results and Discussions
4 Conclusions
References
Baseline Wander Correction of the Electrocardiogram Signals for Effective Preprocessing
1 Introduction
2 Related Works
3 Materials and Methods
4 Experiment, Results and Discussion
4.1 Using Spline Functions for Elimination the Baseline Wander
4.2 Using Difference Filters for Elimination the Baseline Wander
5 Conclusions
References
Intellectual Information Technologies of the Resources Management in Conditions of Unstable External Environment
1 Introduction
2 Literature Review
3 Materials and Methods
4 Experiment, Results and Discussion
5 Conclusions
References
Information Technologies and Neural Network Means for Building the Complex Goal Program Improving the Management of Intellectual Capital''
1 Introduction and Literature Review
2 Materials and Methods
3 Experiment
3.1 Development of Algorithm 1 to Determine the Optimal PCI in the Linear Hierarchy of Goals Represented by Neural Network for Building of the CGPImproving the Management of Intellectual Capital''
3.2 Development of Algorithm 2 to Determination of the Optimal Training Parameter (opt)
3.3 Automatization of Experimental Process
4 Results and Discussion
5 Conclusions
References
Quantitative Assessment of Forest Disturbance with C-Band SAR Data for Decision Making Support in Forest Management
1 Introduction
2 Materials and Methods
2.1 Methodological Framework
2.2 Input Data
2.3 Data Pre-processing
2.4 LAI Calculations
2.5 Assessment of Forest Disturbances
3 Experiment
4 Results and Discussions
5 Conclusions
References
An Intelligent System for Providing Recommendations on the Web Development Learning
1 Introduction
2 Problem Statement
3 An Intelligent System and Its Three Components
3.1 Knowledge Base
3.2 Make-Recommendations Mechanism
3.3 An Intelligent Interface
4 Survey on the System's Quality
5 Conclusion and Further Research
References
Real-Time Sensing, Reasoning and Adaptation for Computer Vision Systems
1 Introduction
2 Literature Review
3 Materials and Methods
3.1 Purposes of an Analysis of Images and Basic Definitions
3.2 Main Tasks Concerning the Development of a Recognition Systems
3.3 Perception of the Spectrum Problem
3.4 Main Approaches to Objects Selection on Complexity Area
3.5 Binaryization with Lower Threshold
3.6 Binarization Methods with Local Threshold
3.7 Methods with Several Thresholds
3.8 Methods with Thresholds Preprocessing
3.9 Multilevel Thresholds Transformation
3.10 Methods Based on Shades of Gray and Histograms
3.11 Triangle Method
3.12 The Threshold Based on the Gradient of Brightness Determining Method
3.13 Methods of Binarization Using Color Brightness Entropy (Yen's Method)
3.14 Methods Are Based on Clusterization Procedure
4 Experiment, Results and Discussions
5 Conclusions
References
Computational Intelligence and Inductive Modeling
Spectrophotometric Method for Coagulant Determining in a Stream Based on an Artificial Neural Network
1 Introduction
2 Problem Statement
3 Literature Review
4 Materials and Methods
5 Experiment, Results and Discussion
6 Conclusions
References
Comparative Analysis of Normalizing Techniques Based on the Use of Classification Quality Criteria
1 Introduction
2 Problem Statement
3 Literature Review
4 Materials and Methods
5 Experiment, Results and Discussion
5.1 Experimental Datasets
5.2 Simulation and Discussion
6 Conclusions
References
Robust Recurrent Credibilistic Modification of the Gustafson - Kessel Algorithm
1 Introduction
2 Recurrent Method of Credibilistic Fuzzy Clustering
3 Recurrent Credibilistic Modification of the Gustafson - Kessel Algorithm (RCM_GK)
4 Experiments
5 Conclusions
References
Tunable Activation Functions for Deep Neural Networks
1 Introduction
2 Related Works
3 Architecture of Neuron with Tunable Activation Function
3.1 Tunable Polynomial Activation Function
3.2 Optimization of the Tunable Polynomial Activation Function
4 Experiments
4.1 Initial Initialization of Tunable Polynomial Parameters
4.2 Performance on MNIST
4.3 Performance on CIFAR10
5 Conclusion
References
Markov-Chain-Based Agents for k-Armed Bandit Problem
1 Introduction
2 Related Works
3 Markov-Chain-Based Agent
4 Markov Chain Gradient Bandit Algorithm
4.1 K-Armed Bandit
4.2 Gradient Bandit Algorithm
4.3 Markov Chain Gradient Bandit Algorithm
5 Results and Discussion
6 Conclusions
References
Predicting Customer Churn Using Machine Learning in IT Startups
1 Introduction
2 Analysis of Methods for Predicting Interactions in Startups
3 Setting the Objective
4 Materials and Methods
4.1 Characteristics of the SaaS Program as a Service Model
4.2 Advantages and Disadvantages of Using the SaaS Approach
4.3 Key SaaS Metrics. Churn Rate ``Customer Outflow Rate''
5 Results and Discussion
6 Conclusions
References
Union of Fuzzy Homogeneous Classes of Objects
1 Introduction
2 Fuzzy Classes and Fuzzy Types
3 Fuzzy Classes of Objects
4 Union of Fuzzy Homogeneous Classes
5 Application Example
6 Conclusions
References
Neuro-Fuzzy Diagnostics Systems Based on SGTM Neural-Like Structure and T-Controller
1 Introduction
2 Proposed Neuro-Fuzzy Diagnostics System
3 Modeling and Results
4 Conclusions
References
An Integral Software Solution of the SGTM Neural-Like Structures Implementation for Solving Different Data Mining Tasks
1 Introduction
2 Materials and Methods
2.1 Interface of the Developed Software Tool
2.2 Contents of Project Directory
2.3 Data Selection
2.4 Network Parametrization
3 Simulation, Results and Discussion
3.1 Prediction Task
3.2 Classification Task
3.3 Time Series Analysis Task
3.4 Principal Component Analysis
4 Conclusions
References
An Expert System Prototype for the Early Diagnosis of Pneumonia
1 Introduction
2 Research Objective
3 Related Works
4 Problem Statement
5 Materials and Methods
5.1 Data
5.2 Bayesian Network Methods
6 Experiments and Results
7 Discussion
8 Conclusions
References
Using Bayesian Networks to Estimate the Effectiveness of Innovative Projects
1 Introduction
2 Problem Statement
3 Literature Review
4 Materials and Methods
4.1 Data
4.2 Bayesian Networks
5 Experiments, Results and Discussion
6 Conclusions
References
Method of Transfer Deap Learning Convolutional Neural Networks for Automated Recognition Facial Expression Systems
1 Introduction
2 Analysis of Existing Research and Publications
3 The Purpose and Objectives of the Research
4 The Proposed Approach
4.1 Study of the Peculiarities of Learning
4.2 Selecting Public DLCNNs to Use as a Pre-trained Model
4.3 DL CNN Model Development and Its Training Method for Solving FER and ED Problems
4.4 Assessment of the AU Recognition Reliability Based on the Developed Model and Method
5 Conclusions
References
Development of a Smart Education System for Analysis and Prediction of Students' Academic Performance
1 Introduction
2 Review of Literature
3 Initial Prerequisites and Problem Statement
4 Materials and Methods
5 Experiment, Results and Discussion
6 Conclusions
References
Assesment Model for Domain Specific Programming Language Design
1 Introduction
2 Problem Statement
3 Literature Review
4 Assessment Criteria for Domain Specific Languages
4.1 Domain Oriented Comparison
4.2 Classic Size Metrics
4.3 Evaluating Conciseness of a Domain Specific Language
4.4 Evaluating Programming Language as a Software
5 Experiment, Results and Discussion
5.1 Experimental Data Sets
5.2 Simulation Results and Discussion
6 Conclusions
References
General Scheme of Modeling of Longitudinal Oscillations in Horizontal Rods
1 Introduction
2 Problem Statement
3 Literature Review
4 The General Scheme of Search of the Solution
5 A Case of Piecewise Continuous Functions with Concentrated Masses
6 A Case of Piecewise Constant Functions with Concentrated Masses
7 A Case of Piecewise Constant Functions
8 An Example of a Numerical Implementation of the Method for a Rod of Two Pieces
9 Conclusions
References
Author Index