Новости

On this page, talks in the format of posters are posted. They can be viewed during the whole time of the Conference. To send your question to the authors, please follow to Miro and write your question in the comments. You can also use the feedback form on our website. Authors will answer questions using Miro comments or via email. To get manual go to Instructions (eng / rus).

Mikhail Geraskin
Analysis of the influence of stimulation on wide social groups’ behavior based on the Stackelberg game
The problem of stimulation the socially optimal behavior of wide social groups (agents) is considered on the example of volunteering. Based on the game-theoretic model with the Stackelberg leadership, possible equilibrium variants are investigated, i.e., the optimal action vectors of social groups, in conditions of asymmetry of awareness. In the case of a linear decreasing function of incentives and linear cost functions of agents, the Nash equilibrium conditions in the Stackelberg game are proved. Analytical formulas for calculating the equilibria for various type parameters of agents, differentiated by their tendency to altruism, are derived. On the basis of statistics on the distribution of the population of Russia by their tendency to altruism, the behavior of social groups of volunteers is modeled.

Irina Khaimovich, Vladimir Ramzaev and Vadim Chumak
Data modelling for analysis of readiness of municipal education in industry 5.0
The purpose of the study is to determine the degree of readiness of municipalities in the Samara region to introduce Industry 5.0 technologies. A mathematical model is proposed that allows one to determine the degree of readiness of municipalities of the Samara region to introduce Industry 5.0 technologies with a further increase in the competitiveness of municipalities, select projects that are most suitable for the existing level of preparation of Industry 5.0, and identify the main difficulties in their implementation. The study developed innovative indicators of the readiness of municipalities to enter Industry 5.0. The innovative indicators of the analysis of the preparation of municipalities for entering Industry 5.0 include: the indicator of manufacturability, the introduction of new technologies and others. The scope of the results is extensive. This study will be interesting to scientists involved in digital economics, Big Data management.

Elena Rostova and Mikhail Geraskin
Model and algorithm for industrial risk- management at the regional level
In the paper investigates the problem of risk management of a regional industrial complex by risk distribution between industrial enterprises, the insurance sector and the environmental sector. We determinate the problems of the interaction multi-agent system’s parameters. We submitted the algorithm for the selection of one or more waste utilization firm and insurers for interaction with an industrial enterprise.

Dmitriy Borisov, Aleksandr Blagov and Aleksey Inyushkin
Development of tools for processing and analysis of observational data on the activity of laboratory rats
The work is devoted to the analysis of observational data on the activity of laboratory animals. The activity cycles obtained by measuring sensors installed in the laboratory are considered. The software tool has been developed that provides processing, visualization and analysis of the obtained data.

Boris Likhttcinder
Adaptive data compression algorithm in wireless sensor networksI
The article provides an overview of the latest methods of data compression in wireless sensor networks (BSS). Five categories of techniques are discussed, including chain-based compression, image-based compression, distributed-source encoding, and data-aggregation compression. The adaptive compression method proposed by the author is considered in most detail. The efficiency of the holey bucket algorithm for compressing adaptation is shown. The structure that implements the specified algorithm is considered. The advantages of introducing adaptation during data compression in the FSN are shown.

Alena Sludnova, Vadim Shutko, Andrey Gaidel and Artem Nikonorov
Natural language processing methods for radiological reports classification
The paper presents the results of studies on the use of natural language processing methods in the classification of medical texts. A set of radiological reports was used as initial data. The classification task was reduced to the separation of reports with various diagnoses (hydrocephalus, fracture, cyst or no pathologies). The classification algorithms (SGD and others) were compared with a substring search, for each of the classes the accuracy and recall were calculated.

Marina Murtazina and Tatiana Avdeenko
The ontology-driven approach to intelligent support of requirements engineering in agile software development
The work presents the ontological approach to the intelligent support of requirements engineering with the agile software development. An ontological model is proposed that combines ontology for information support of requirements engineering and ontology of the application domain. The requirements are analyzed as logical statements about the subject area of the software product being developed. A method is also proposed for extracting and analyzing requirements from natural language formulations. The description of the developed prototype of the decision support system is given. The presented approach involves the joint use of several OWL files that enables presenting knowledge about the project, the application domain and the semantic relations between the key elements of the proposals with the requirements (actors, actions and objects). Protégé 5.2 is used to work with ontology. The decision support system is written in Python.

Alexander Nechitaylo, Anna Gnutova and Olga Vasilchuk
Digital transformation of educational process planning at a university
The article discusses the innovative process of preparing curricula within enlarged groups of specialties (areas of training) with the integration of general disciplines into a stream. This method provides a reduction in the total load, as well as simplification of the automation processes for the preparation of the curriculum.

Nikita Svyatov and Alexander Blagov
Forecasting the currency market using the autoregressive-moving average model
The article provides a comparative analysis of existing models for forecasting prices in the foreign exchange market. The authors propose an improved modification of the model that is most suitable for predicting the behaviour of the EUR / USD currency pair. The calculation is performed by the developed software tool that processes and analyses the entered parameters of the time series.

Boris Likhttcinder
Delays in QS queues with correlated application flows
The article is devoted to the analysis of delays in queues of queuing systems (QS), with correlated flows of requests of a general form. Packet traffic in multiservice networks is characterized by a high degree of correlation. Based on interval analysis methods, relations are obtained that generalize the Khinchin-Pollyachek formula for the average value of the waiting time in queuing systems with general application flows. The main parameters analyzed when deriving these formulas are time intervals between neighboring applications. It is shown that the values of time delays in queues depend on the variance of the variance index and the variance index of a random variable characterizing the degree of after-service of the processed orders.

Oleg Pavlov
Numerical solution of the dynamic incentive problem in discrete time with account the learning curve effect
The paper considers the of the dynamic incentive problem in discrete time with account the learning curve effect. The task is formulated as a dynamic game between the leader and the performers. To solve the problem, the principle of cost recovery is applied, which divides the original task into tasks of coordinated incentives and coordinated planning. The task of coordinated planning is mathematically formalized as an optimal process control problem in discrete time. Numerical solutions are obtained for coordinated planning problems for various learning curves models using the Bellman dynamic programming method.

Olga Kuznetsova and Michael Geraskin
Analysis of monopolistic competition in markets related to the sale of goods on credit.
The article considers the problem of analyzing monopolistic competition in markets interconnected within a vertically integrated system of retailers, banks and insurance companies. The system is formed during the sale of consumer goods on credit and includes three levels corresponding to the sale of goods (retailers), lending transactions (banks) and credit insurance (insurers). There are many competing firms (agents) at each level of the system. Formulas for calculating the maximum possible number of competitors at each level are derived. Competition modeling was carried out on the example of the household appliances market.

Vladislav Dudnikov and Boris Melnikov
An approach to transforming DNA distance matrices in order to improve the original distance calculation algorithms
The research addressed the problem of the modern distance calculation algorithms between DNA sequences and ways of their improvements through the algorithm enhancements. The problem of improving distance calculation algorithms has been introduced. A solution to this problem had been proposed using one of the variants of the genetic algorithm. All stages of genetic algorithm development have been described. The results of the improvement have been given.

Igor Lvovich, Andrey Preobrazhenskiy and Oleg Choporov
Research of algorithms for processing information in wireless networks and filling the missing data
In this paper, we consider the problem of the propagation of electromagnetic waves in wireless communication systems indoors. Algorithm that exclude invalid data is described. The results of the study on the influence of the interference environment, communication range and data transfer time in the Wi-Fi network are shown. The evaluating the effectiveness of filling the missing data methods is carrying out.

Rostislav Mikherskii and Dmitriy Kuznetsov
Analysis of open data of a social network in order to identify deviant communities
The system of analysis of open data of the social network Vkontakte is developed and programmatically implemented. Two ways of identification of deviant communities are proposed. The first way is by the number of community subscribers blocked by the social network for violating the rules. The second way, by the presence of common subscribers between the studied community, and the community about which it is precisely known that it is deviant. It is experimentally established that the second method of identification of deviant communities gives the best result.

Elizaveta Repina and Elena Kochegurova
Time series prediction based on the penalty spline and the real-time DBScan cluster analysis algorithm
Real-time forecasting is particularly valuable: with the help of the data obtained with such a forecast, it is possible to quickly and objectively reflect a constantly updated picture of any process. The prediction model described in this paper is based on the recurrent P-spline. One of the main parameters of the model, which significantly affect the result of the forecast, is the parameter h-the number of measurements of the spline link. The setting of this parameter is performed by using the density clustering algorithm DBScan. This algorithm was modified for the problem to be solved: setting the upper limit of the number of elements in the cluster, solving the problem of overlapping clusters, creating rules for applying the algorithm in real time.

Anrew Bulynin, Boris Melnikov, Vladimir Meschanin and Julia Terentyeva
Algorithms for designing communication networks using greedy heuristics of various types
We consider two frequently occurring problems in the modeling of the communication network associated with the construction of a graph of the communication network that satisfies certain conditions. We propose an algorithm to which the solution of both problems can be reduced, which belongs to the class of greedy algorithms. The question of the uniqueness of the solution of the tasks is investigated. A positive result of the solution of the problem is obtained and sufficient conditions of uniqueness are revealed. The conducted researches and development of the corresponding software have practical significance at design of real communication networks.

Elena Gusakova
Forming a unified information platform for managing a life cycle of a building object
The problem of full-fledged information modeling of the life cycle of the construction project and a single view of the object, including the stages of its construction and operation, is very relevant today and does not have a complete solution. The subject of the article: the organization of the software environment for managing the project life cycle processes on an integrated information platform. The article analyzes the main directions of information modeling in the construction industry; a comparative analysis of IT-systems BIM (Building Information Model or Modeling) and PLM (Product Lifecycle Management system) performed; explored the possibilities of modernization of the design environment and the integration of different applications; revealed the functionality of BIM technologies necessary for the development of the programming environment for the life cycle of a building object. The article shows that the most promising way to solve problems is the integration of Western and Russian technologies using the BIM model on the PLM platform. A technological IT platform should be developed that describes a process model based on a single data source with the possibility of effective interaction of all building subsystems and project participants and allows integrating data into third-party systems.

Alexey Lipatov
The ternary logic for aerial objects groups detecting on base of undefined attributes
The task of objects groups detecting (grouping) exists in many application areas. It is important for the air objects tracking. Grouping, as a rule, is carried out on the basis of an evaluation of degree of proximity of objects in space of their attributes. The attributes can be both quantitative and qualitative. For air objects, such attributes are their coordinates, altitude, speed, course, as well as class, type, nationality, etc. Under real conditions the estimates of such attributes are usually undefined. This paper deals with the methods of representation and processing of undefined estimates of quantitative and qualitative attributes of aerial objects. The rules are formulated, that allowing to conclude that the objects reliably belong to one group or possibly belong to one group or do not belong to one group. To formalize these rules, the ternary extension of the Boolean algebra is proposed. This algebra is Kleene logic algebra with strong propositional connectives.

Vladimir Krotkov and Alexandra Danilenko
Library of tools, aimed at simplifying the development and performing automatic tests of console applications of any difficulty on C# and C++ programming languages
In the paper there is represented the description of the library, which purpose is to simplify the process of creating console applications on C# and C++ programming languages by giving programmer an opportunity to use built-in custom menu of any nesting level, as well as special facilities to control the state of program variables and keep track of condition of program entities. The library contains functions of manual and automatic application work check and includes tools of multilevel performance analysis. The library also includes auxiliary functional of random, pre-determined or template test data generation, working with both: standard data-types and user-defined data types. This library provides possibilities to directly detect pieces of error code, which may had been written during the development of the program. The library has been developed in compliance with contemporary object-oriented approach on application design using modern algorithmic solutions.

Olga Medvedeva, Sofya Mustafina and Alina Galeeva
Development of an Augmented Reality Mobile Application in Educational Purposes
This work is devoted to the issues of visualization and data processing, in particular, improving the visualization of three-dimensional objects using the technology of augmented reality in education. This article describes the development of augmented reality mobile applications on the theme of the galaxy. The main purpose of the application: educational and cognitive. In the process of performing work, computer graphics, algorithms and modeling methods were used. Use case: there are special images on the stand that the mobile application recognizes and shows the created 3D models of the “Sun” and “Milky Way”. In addition, while the 3D model is being displayed, a short training audio lecture will be held. To create a 3D model of objects, the Unity program was used in conjunction with the augmented reality platform Vuforia.

Olga Medvedeva, Murat Soilu, Chingiz Burdzhumov and Ilgam Galiullin
Using Augmented Reality Technologies for Mobile Application Development
This work is devoted to reviews of existing methods of working with AR and methods for its implementation. The second part of this work contains a description of the development of the interface for the prototype of the “Mendeleev's coin” information system. To create a 3D model of objects, the Unity program was used in conjunction with the augmented reality platform Vuforia. To test the performance, Android devices with average technical indicators were selected. The application compiled for testing showed stable operation.

Oleg V. Goryachkin
Review of V.A. Soifer's work in the field of statistical communication theory
A key role in ensuring the reliability of hydraulic systems is operational reliability, which is achieved by using modern diagnostic methods. Existing methods for monitoring the technical condition of the hydraulic system during their operation in most cases are based on achieving the required indicators for the output parameters, such as pressure, flow rate of the working fluid, the speed of shifting of the actuators, leakage and other parameters calculated by the duration of the transient processes. This approach allows you to diagnose the overall hydraulic systems and its components in detail. This paper describes an array of data generation and preparation and real-time diagnosis on the operation for a working and faulty hydraulic system in order to develop a tool for operational and proactive maintenance of industrial plants and technological complexes in accordance with their technical condition. Experimental test bench is used for data preparation and online tests of machine learning, neural network fault detection and prediction methods.

Irina V. Zhilavskaya
Media literacy as a factor of effective promotion of scientific journals in the international information environment (review on the example of a number of Russian scientific journals)
In this paper, we propose an algorithm for analyzing text data based on conversion analysis. Currently, natural languages are developing dynamically. New semantic units constantly come into spoken language. Under these conditions, chains of dependency graphs of semantic units are constantly being rebuilt. In this paper, we propose a method for determining synonyms based on conversion analysis. The proposed method was tested on data that was collected from social networks

V.O. Sokolov
The 75th anniversary of Professor Vladimir Fursov
The paper provides examples of convolutional neural network architectures, the corresponding activation functions, and the organization of their interaction in the learning process. Networks interact with each other according to the architecture of generative-adversarial networks. For the task, the NEXET 2017 data set was filtered and formatted. Studies of the architecture of neural networks and varying the volume of the training sample to solve the problem of image styling were carried out.