- Cloud Computing and Resource Management
- Advanced Data Processing Techniques
- Cybersecurity and Information Systems
- Information Systems and Technology Applications
- Scientific Research and Philosophical Inquiry
- Advanced Scientific Research Methods
- Engineering Education and Technology
- Chaos control and synchronization
- Statistical and Computational Modeling
- Technology and Human Factors in Education and Health
- Software Engineering Research
- Big Data and Business Intelligence
- Software Reliability and Analysis Research
- Engineering Technology and Methodologies
- IoT and Edge/Fog Computing
- Robotic Locomotion and Control
- Nonlinear Dynamics and Pattern Formation
- Artificial Intelligence in Education
- Augmented Reality Applications
- Economic and Technological Systems Analysis
- Distributed systems and fault tolerance
- Mental Health Research Topics
- Distributed and Parallel Computing Systems
- Digital Communication and Language
- Complex Systems and Time Series Analysis
MIREA - Russian Technological University
2017-2024
Russian Academy of Education
2018-2021
ORCID
2021
Moscow Power Engineering Institute
2020
Ivanovo State Power University
2020
Air Force Academy named after Professor NE Zhukovsky and Yu.A. Gagarin
2020
Sechenov University
2019
Psychological Institute of the Russian Academy of Education
2018-2019
Kuban State University
2019
National Research Nuclear University MEPhI
2019
Online distance e-learning systems allow introducing innovative methods in pedagogy, along with studying their effectiveness. Assessing the system effectiveness is based on analyzing log files to track time, number of connections, and earned game bonus points. This study an example online application for practical foreign language speaking skills training between random users, which select role a teacher or student own. The main features developed include pre-defined synchronized teaching...
The problem of development the SVM classifier based on modified particle swarm optimization has been considered. This algorithm carries out simultaneous search kernel function type, values parameters and value regularization parameter for classifier. Such provides high quality data classification. idea particles' {\guillemotleft}regeneration{\guillemotright} is put basis algorithm. At realization this idea, some particles change their type to one which corresponds with best classification...
The problem with development of the support vector machine (SVM) classifiers using modified particle swarm optimization (PSO) algorithm and their ensembles has been considered. Solving this would allow fulfilling high-precision data classification, especially Big Data acceptable time expenditures. PSO conducts a simultaneous search type kernel functions, parameters function value regularization parameter for SVM classifier. idea particles' «regeneration» served as basis algorithm. In...
This paper represents an approach for object's classification based on the combined implementation of SVM algorithm and fuzzy clustering algorithms. It is offered to use algorithms' ensemble clusters' tags' vectors' similarity matrixes spectral factorization as creation training test sets, used development classifier, specification results with application trained classifier. In first case we solve absence problem aprioristic information objects' possible class association avoid inclusion...
В статье рассмотрена задача автоматизированного рефакторинга UML-диаграмм классов. Дан краткий обзор основных подходов к описанию классов, их трансформации и рефакторингу. работе описано инструментальное средство классов UML Refactoring, позволяющее импортировать UML-диаграмму представленную в формате XMI, рассчитывать для нее объектно-ориентированные метрики. Система проводит поиск подмножеств элементов диаграммы, применение которым трансформаций снижает значение целевой функции. Также...
The paper is focused on the forecasting method for time series groups with use of algorithms cluster analysis.K-means algorithm suggested to be a basic one clustering.The coordinates centers clusters have been put in correspondence summarizing datathe centroids clusters.A description series, clusters, implemented models.They are based strict binary trees and modified clonal selection algorithm.With help such models, possibility forming analytic dependences shown.It common model, which...
The paper is focused on the development of forecasting method for time series’ groups with application clustering algorithms. Fuzzy c-means algorithm (FCM algorithm) suggested to be a basic one clustering. coordinates clusters’ centers have been put in correspondence summarizing series data – centroids. A description series, centroids, implemented models. They are based strict binary trees and modified clonal selection algorithm. forming possibility analytic dependences such models, shown....
One of the most important tasks any platform for big data processing is storing received. Different systems have different requirements storage formats data, which raises problem choosing optimal format to solve current problem. This paper describes five popular presents an experimental evaluation these and a methodology format. The following will be considered: avro, CSV, JSON, ORC, parquet. At first stage, comparative analysis main characteristics studied was carried out; at second...
This article provides a review of the approaches to construction prediction intervals. To increase reliability prediction, point methods are replaced by intervals for many aims. The interval generates pair as future values, including upper and lower bounds each point. That is, according historical data, which include graph continuous discrete function, two functions will be obtained i.e., estimation. In this case, boundaries should provide guaranteed probability location true values inside...
In the article, an experiment is aimed at clarifying transfer efficiency of database in cloud infrastructure. The system was added to control unit, which has guided search local part or cloud. It shown that time data acquisition remains unchanged as a result modification. Suggestions have been made about use theory dynamic systems hybrid database. present work attracting attention spe-cialists field apparatus theory. presented this article allows description known methods for solving...
The choice of the tools and programming technologies for information systems creation is relevant. For every projected system, it necessary to define a number criteria development environment, used libraries technologies. paper describes technological solutions using example developed web-based platform Russian Academy Education. This provide support activities psychologists in their research (including population longitudinal researches). There are following system features: large scale...
Modern educational institutions widely used virtual laboratories and cloud technologies. In practice must deal with security, processing speed other tasks. The paper describes the experience of construction an experimental stand computing network management. Models control principles set forth herein.
Development of cloud services enables them to move Big Data in the hybrid services. This requires processing systems and data structures. Due fact that there are many bottlenecks monitoring control system when performing a query. The models optimization criteria for design infrastructures created. In this article suggested approaches results build.
Web-surveys are one of the most popular forms primary data collection used for various researches. However, mass surveys involve some challenges. It is required to consider different platforms and browsers, as well transfer rates using connections in regions country. Ensuring guaranteed delivery these conditions should determine right choice technologies implementing web-surveys. The paper describes solution a questionnaire client side form an archive. This technological ensures independence...
The study used a large sample of elementary schoolchildren in Russia (N = 3,448, 51.6% were girls, with mean age 8.70 years, ranging 6–11 years) to investigate the congruency, format and heterogeneity effects nonsymbolic comparison test between-individual differences these generalized linear mixed models (GLMMs). participants asked compare two arrays figures different colours spatially separated or intermixed formats. In addition, could be similar for arrays. results revealed that congruency...
We present a method for generating robust chaos. It is based on the search algorithm weak symmetry violation in reconstructed attractor. On its basis smooth functions form of system finite-difference equations. To ensure chaos generator introduced piecewise continuous member. The simulation results are given report.
The paper presents the swarm intelligence approach to selection of a set software components based on computational experiments simulating desired operating conditions system being developed. A mathematical model is constructed, aimed at effective from available alternative options using artificial bee colony algorithm. and process component are introduced applied case selecting Node.js for development digital platform. aim platform facilitate countrywide simultaneous online psychological...
The paper addresses the development of technology for controlling access to digital portals and platforms based on assessments personal characteristics user behavior built into interface. In distributed using data, big data is collected processed specialized applications computer networks. accordance with law, stored internal corporate servers centers. Special attention paid tasks differentiation control in modern information systems. Wide availability mass scale services should be...
The paper describes development of the educational online web communication platform for teaching and learning foreign languages. main objective was to develop a application foreigners understand casual fluent speech. system is based on time bank principle, allowing users teach others their native language along with taking lessons. WebRTC technology, access synchronized materials seeing hearing each other. studies associated user involvement in learning/teaching process. hypothesis whether...
The article is dedicated to the development of a mathematical model and methodology for evaluating effectiveness integrating information technology solutions into digital platforms using virtual simulation infrastructures. task selecting stack technologies formulated as elements from sets possible solutions. This allows us develop mathematically unified approach different solutions, such choosing programming languages, Database Management System (DBMS), operating systems data technologies,...
In this paper we consider the problem of velocity estimation and stabilization for balancing an inverted pendulum equipped with a reaction wheel. A homogeneous differentiator is proposed estimation, it shown that bias in sensor readings yields steady-state error. The observer augmented reduced-order estimator local asymptotic stability coupled observers shown. solution tested compared another approach on experimental setup.
Big data dictate their requirements to the hardware and software. Simple migration cloud processing, while solving problem of increasing computational capabilities, however creates some issues: need ensure safety, control quality during transmission, optimize requests. Computational does not simply provide scalable resources but also requires network infrastructure, unknown routes number user In addition, functioning situation can occur, in which you change architecture application - part...
We consider scissored pair gyroscopes as an auxiliary stabilization system for legged robots. A standard state-feedback control can stabilize the if all states are available; thus, velocity estimation becomes key element stabilization. To this end, we implement and experimentally compare a model-free linear differentiator, model-based full-state observer with time-varying gains, homogeneous nonlinear differentiator. Moreover, also show that considered cannot be partially linearized via...