bluuebunny/crossref_metadata_2025_split huggingface dataset:
A control of a digital copy of an enterprise by a targets classifier as a task of control a dynamic system
Authors: Masaev S N , Musiyachenko E V , Khrulkevich A L , Salal Y K 
Published: November 2020

Abstract
The area of research includes control theory, dynamic systems, parameters of the external environment, mode, integral indicators, goal. A review of scientific works shows the absence of digital copies of economic objects. The main idea of the research is to show the activity of an economic object (enterprise) as a digital copy. The digital copy of the economic object (enterprise) in the research is formalized. The target function of control the digital copy of the enterprise is set. Evaluation of the operating mode of a digital copy of an enterprise using 1.2 million parameters by an integral indicator method. Evaluation of the operating mode of a digital copy with an embedded target classifier. Both modes of operation depend on the control decisions taken, taking into account the influence of unpredictable signals from the external environment.
Assessment various control methods a digital copy of enterprise by integral indicator
Authors: Masaev S N 
Published: November 2020

Abstract
The difficulty of assessing the state lies in a little predictable change in the dimension of a dynamic system under the influence of internal changes and environmental parameters. In the work, the state of such a system is estimated by the method of integral indicators. The application of the method of integral indicators allowed us to evaluate the activity of an enterprise. In the present work, the method of integrated indicators is used to assess the control of a digital copy (enterprise). Using the author’s complex of programs, the activity of an enterprise (digital copy) is modeled as a dynamic non-stationary, in structure, system of 1.2 million values with spaces identified at each time step: output data, control data, and environmental parameters. The research showed significant changes in the values of the integral indicator characterizing the state of a dynamic system when implementing different regimes of control for a woodworking enterprise and a construction company. In the first and second examples, an underestimation of the invisible material flows of production processes of “shadow” businesses-processes were found to be 4.5 billion rubles per year. In the third example, the loss of the enterprise from stop businesses-processes for 4 years will amount to 188.8 million rubles.
Optimization-simulation approach to the computational resource allocation in a mechanical engineering enterprise
Authors: Uchaikin R A , Orlov S P 
Published: November 2020

AbstractThe complexity of modern engineering production requires the use of computer technology in design and technological processes. The problem is the need to efficiently distribute computers and software between departments in the enterprise. The article proposes an optimization-simulation approach to solving the problem of computer equipment allocation. It consists in an iterative procedure for solving an optimization problem and verifying the obtained solutions on simulation models. A discrete optimization problem with Boolean variables for assigning computers to tasks in departments is formulated. It is proposed to carry out a simulation model in the form of a timed Petri net. A graphical model of computer equipment repair and maintenance in the process of performing tasks is presented. A basic elementary timed Petri net is constructed, which is used to build a general simulation model. The properties of the basic simulation model are considered.
NPP refueling process monitoring based on the refueling machine current signals
Authors: Abidova E A , Dembitsky A E , Zarochintseva I V , Lapkis A A , Chernov A V 
Published: November 2020

Abstract
The paper is aimed at safety improvement of nuclear power plants by monitoring the refueling process carried out by the fuel-handling machine. The article confirms the necessity to develop a monitoring system that prevents failures during refueling operations. It is shown that the development of the monitoring system should be preceded by the stage of monitoring the object current parameters in the process of multiple operations with fuel and absorbing rods. The schemes of diagnostic signals registration and approaches to their analysis are presented. The paper presents results of the current signals analysis of the main hoist drive of the refueling machine at Rostov NPP. The development of refueling operation portraits based on current parameters is demonstrated. The principal component method is applied to them for the purpose of clustering. The paper shows the possibility to control the refueling machine efforts when extracting fuel by presenting diagnostic signals from the main hoist drive in the principal component space. In general, the paper substantiates the prospects of developing a refueling monitoring system through current consumed by the main hoist drive of the refueling machine
Multilevel procedure for decomposition and mapping graphs
Authors: Starostin N V , Bykova M A , Nebaikin S V 
Published: November 2020

Abstract
The paper analyzes the actual problem of architecture-dependent decomposition, allowing efficient planning of running a parallel task in a multiprocessor computer network. The procedure of planning means decomposition of a parallel task in a required number of processors accounting for balance restrictions and mapping of obtained portions to processors in order to minimize interprocessor communication costs. This procedure allows to reduce parallel program execution time and consequently expensive hardware usage time. The paper provides general mathematical formulation of this problem, and special cases are considered. Multilevel algorithms are suggested for a special and a general case of the problem. Results of experiments in well-known benchmarks as compared to renowned software METIS and SCOTCH.
Formalization of the task of monitoring the technological safety of industrial facilities in conditions of indistinctness of the initial information
Authors: Siddikov I X , Mamasodikova N Yu , Khalilov M A , Amonov A K , Sherboboyeva G B 
Published: November 2020

Abstract
The article deals with the issues of fuzzy modeling and situational analysis of the technological safety of petrochemical complexes and decision-making on their management in conditions of uncertainty and fuzzy initial information based on the theory of fuzzy sets and fuzzy logic. A formal model for describing fuzzy situations in the form of a fuzzy set and making rational decisions in various emergency situations based on the criterion of the degree of fuzzy inclusion and the degree of fuzzy equality with the involvement of the method of situational inference is proposed.
Organization of automobile traffic using Internet of Everything technology
Authors: Gurjanov A V , Zakoldaev D A , Kostishin M O , Zharinov I O 
Published: November 2020

Abstract
The automobile traffic in the modern conditions is a high human risk source. The road infrastructure and car informative and measuring system Internet of Everything technology application increases significantly the road condition participants safety. The road infrastructure main components (traffic lights, road signs and other) are equipped with reception transmitters supporting the Internet of Everything so that why the car constantly receives the road situation actual information while on the move. The Internet of Everything technology creates the smart city intellectual space, which unites all road traffic participants into a single information field. The Internet of Everything and information transmission wireless channels speed characteristics may support the road traffic intensive pace. There is a functional scheme of a driverless car control system including the informative and measuring system necessary components which data is processed with the car board computers. In some road situation examples the urban conditions driverless road traffic organization principle is described engaging the Internet of Everything information transmission channel. There is a general driverless car traffic algorithm evaluating in real time the smart city conditions road situation.
Development of the information system for HIV progression modeling in inmates
Authors: Ponomarev D S , Ponomarev S B , Gorohov M M , Averyanova E L , Polishchuk V E 
Published: November 2020

Abstract
The study presents the stages of developing a HIV prognosis model in inmates. Correlation data analysis and regression modeling were used to develop the model. It was estimated that the developed model gives the best results for patients under the age of 40 years. On the obtained results there were developed an information system and a computer program. The study results application will help to predict correctly the HIV severity and to take timely treatment measures.
Development of an automated house climate management system based on industrial controller
Authors: Popov A A , Ovsyankin A K , Koinov A E , Gorshkov E V , Filipkina T N 
Published: November 2020

Abstract
The task of increasing the safety, efficiency and environmental friendliness of the heating system is being solved, as well as improving the conditions for a person’s permanent stay in the building. Building automation is the automatic, centralized control of heating, ventilation and air conditioning, lighting, access control, security systems, and other interconnected systems through a building management system or building automation system. This direction is especially relevant in industrial zones with poor ecology. In addition, in connection with the constant anthropogenic activity of man, high-amplitude temperature drops occur more and more often in periods unusual for them, and therefore it becomes more and more difficult to timely respond to such changes. Automation of the microclimate control process frees a person from the need to directly control mechanisms, which in turn saves him time and resources. The role of a person is reduced to setting the necessary parameters and providing the system with consumables. The purpose of this work is to create an automated climate control system, using and modernizing existing controls, based on an industrial controller.
Two realizations of the pattern informativity idea for the method of data logical analysis
Authors: Kuzmich R I , Mashinets E E , Povazhnyuk I , Stupina A A 
Published: November 2020

Abstract
Two realizations of the idea underlying the concept of “pattern informativity” are proposed. The mechanism for implementing the idea consists in the formation of optimization models to obtain patterns. A comparison is made in terms of accuracy for practical problems of classifiers composed of rules obtained on the basis of the proposed optimization models.
Structure of software package for bioenergy assessment of agricultural production
Authors: Abaluev R N , Kartechina N V , Bobrovich L V , Kartechina O S , Chirkin S O , Shatsky V A 
Published: November 2020

Abstract
Rational use of energy resources determines the efficiency of a modern agricultural enterprise. Growth of energy gap sets fixed boundaries on the use of energy-intensive forms of production and puts forward the requirements for revising the existing system for assessing the use of technologies in the agro-industrial complex. The relevance of the transition to resource-saving technologies in the current economic situation is due to the fact that, firstly, any processes in the production sector are associated with energy consumption, and secondly, energy resources are scarce today and determine the limits of economic development. In this regard, energy conservation and energy efficiency should be considered as one of the main ways of economic growth. The structure of a software package that automates the calculation of bioenergy assessment of agricultural production technologies is discussed in this article. This software product can be used in the professional activities of an agronomist, agroecologist, scientists, as well as in the process of educational activities by teachers and students.
Assessment of factors hindering innovative development
Authors: Kurbonzoda M R , Gibadullin A A , Morkovkin D E , Nesterenko J N 
Published: November 2020

Abstract
The article is devoted to the assessment of the factors hindering innovative development. As part of the study, it was revealed that the identification and assessment of factors is a necessary task for enterprises, including in such a direction as innovative development. In the study, the factors influencing innovative development were divided into three groups - these are external, internal and other factors. The analysis of these factors allowed the authors of the study to identify the points of their occurrence and, as a consequence, their neutralization. The paper presented a survey of enterprise managers, reflecting the rating of factors affecting innovative development, which indicates the variety of importance of each factor affecting the innovative development of an enterprise. At the end of the study, an algorithm was proposed that contains a systematic plan of action to identify, assess, manage or neutralize factors.
Situation management model of technological process in resources distribution conditions
Authors: Danilov A D , Gusev P Yu , Gorbunov V G , Sobenina O V , Voronov S A 
Published: November 2020

Abstract
The paper suggests an organization model, an algorithm and the definition of the plant process management task. The functioning features and conditions are based on the example of straight-line flow method of work performance. Rules and diagrams of elements’ adjoined interactions, which allow allocating the resources for management efficiency improvement, are described in the paper. In addition, local criteria for organizational-economical evaluation of an emergency are suggested. Incidence matrix allowing the identification of an emergency and making an immediate decision of losses’ compensation, which occurred during the process termination, is defined.
Formation of primary radiation defects in a non-equilibrium silicon structure by electron irradiation
Authors: Bogatov N , Grigoryan L , Klenevsky A , Kovalenko M , Nesterenko I 
Published: November 2020

Abstract
Based on numerical simulation, the influence of the position in the band gap of the Fermi quasilevel of electrons on the dependence of the linear generation rate of interstitial silicon, vacancies, divacancies, and disordering regions in silicon irradiated with electrons is analyzed. From the obtained results it follows that, if the quasi-Fermi level of electrons is located in the upper quarter of the band gap and approaches the bottom of the conduction band, then the linear rate of generation of primary radiation defects created by electrons decreases. Consequently, under nonequilibrium conditions caused by a high level of illumination or the passage of an electric current through the n
+-p junction in the forward electric bias mode, as well as in the n+-region of silicon, it is possible to differentially vary the concentration of radiation defects when exposed to electrons. The results obtained can find application in the development of new methods for modifying the properties of semiconductor structures.
Content adaptation neural network method cause-specific the state of users
Authors: Khlivnenko L V , Pyatakovich F A , Yakunchenko T I 
Published: November 2020

Abstract
The aim of the study is to develop recommendations for adapting educational content based on the use of a neural network method for recognizing the human autonomic nervous system degree of activity. The initial data for decision making are the vectors of cardiointervals obtained with the help of the pulse sensor. The state of the autonomic nervous system is monitored by a two-layer artificial neural network of direct propagation. The artificial neural network was trained by combining gradient and stochastic training methods. A trial sample was used as a training set, consisting of 168 records of people’s cardiointervals belonging to different social and age groups. The presented method for recognizing the autonomic nervous system activity degree was tested via the shared programming support environment Lazarus. As a result of network training, a set of weighting coefficient values was found, for which 100% correct recognition is performed over the entire trial sample. A personalized training system that monitors the functional state of the student varies the presentation of educational content. When the functional state changes during the training load, the virtual agent organizes the training process so as to avoid stress load.
Graphic search model for analyzing search solution of task by specialists
Authors: Sirotinin A A , Dorrer G A 
Published: November 2020

Abstract
The article describes the concept of creating an assistant system that allows to use patterns of behavior. The information pattern of actions is dynamic and changing each time of selected computing period with the manifestation of multiple signs of similarity of new received information with the existing. The advantage of the method used is an optimization mechanism that uses human capabilities to recognize and extract valuable information from the overall received stream by analyzing only the areas on which the user’s gaze is focused. Thus, the analysis of really important information is carried out, greatly simplifying the work of recognition algorithms. By the nature of the movement and the amount of time the gaze is focused on the object, it is relatively easy to determine whether the information is important for the user, whether the same or similar information has been encountered before, whether it has been read, as well as its characteristics, which are complexity and completeness. The secondary level of information processing is the construction an associative table what’s allowing to obtain a compressed volume of information interacting directly with user of system by associative dependences of consciousness and his reaction to external familiar stimulus.
Transposons in chloroplast genomes are distributed inhomogeneously among gymnosperms and angiosperms
Authors: Mutovina O A , Sadovsky M G 
Published: November 2020

Abstract
An occurrence and specificity of transposons in chloroplast genomes is considered. It is shown that the transposons are met in some genomes, and are nor in others. Rather decreased number of copies is peculiar for transposons found in chloroplast genomes, as well as the prevalence in their location (leading strand). Unique transposon Copia-18_BD-I is found in gymnosperms.
Development and use of aerospace technologies to ensure information connectivity of the territory of the Russian Federation
Authors: Vladimirova V G , Shemyakov A O , Oleinik A V , Konysheva V Yu 
Published: November 2020

Abstract
To resolve the problem of the connectedness of the territory of the Russian Federation we need the implementation of scientific and technological solutions, for the development and implementation of which we form complex scientific and technical programs and complex projects of the full innovation cycle. To effectively solve the problems of spatial development of the regions of the Russian Federation, it is necessary to introduce new technologies to ensure energy, transport, information and socio-cultural connectivity of sparsely populated and hard-to-reach territories. Information connectivity of the territory can be ensured through the creation and use of information and analytical systems for remote monitoring of objects and resources on the territory of the state.
The architecture of a software platform for growing spiking neural networks simulator developing
Authors: Bakhshiev A V , Fomin I S , Gundelakh F V , Demcheva A A , Korsakov A M 
Published: November 2020

Abstract
The paper compares spike neural network simulators. It is shown that the existing simulation software are not adapted to describe growing neural networks with irregular connection topology. This problem is relevant for cases when the neuron model is not point-like but describes a dendritic tree. The architecture of a new software environment for modeling growing networks based on compartment models of neurons is proposed. The comparation of the characteristics of the developed simulator with existing solutions is shown.
Diagnostics of Parkinson’s disease by positron-emission tomography with 18F-DOPA: new approach based on smart clustering
Authors: Tutsenko K O , Horoshavina A A , Abramov V A , Karlova E A , Sadovsky M G 
Published: November 2020

Abstract
PET investigation of human brain for the purposes of the effective diagnostics of some neurodegenerative diseases requires the definition of the normal indices. Here we present the figures to be used as the reference values of the necessary indices to be used in medical investigations.
Digital platform for an adaptive lifecycle management system for construction objects
Authors: Morozenko A A , Zyablov A A , Kheruvimov I A 
Published: November 2020

Abstract
The article presents studies aimed at the formation of an adaptive management system based on the information approach and digitalization of management processes. A conceptual dynamic model of an adaptive control system for large-scale and technically complex construction objects, consisting of two control loops with a description of their functional purpose, is proposed. The material proposes a programming technique based on the schedule of key project events, which is the basis for building a reference model for project implementation. In turn, the reference model is the main element of the adaptive control loop, represented by transition operators written in a matrix form convenient for machine use. Based on the resource approach for the effective development of control actions, it is proposed to distinguish three levels of management decisions: operational, tactical and strategic. The interfaces and services of the adaptive control system are systematized and classified, as a description of its digital profile. The study presents the results of the practical implementation of the proposed approaches by the author’s software package, which is the basis for the formation of an adaptive control system.
Clustering of participants in the MaxBonus loyalty system using Kohonen’s self-organizing maps
Authors: Dorrer M G , Fomin A V , Loginov D A 
Published: November 2020

Abstract
The purpose of this article is to investigate customer clustering based on big data of the consumer loyalty system. The object of the research is the retail chains that are the clients of the Maxbonus system. Self-organizing Kohonen maps, implemented by the selforgmap function of the Deep Learning Toolbox module of the Matlab system, were used as a clustering tool. As a result of clustering 990 customers, classes invariant to the partition were identified, and it was shown that their number stabilizes with an increase in the number of classes in the Kohonen self-organizing map. The average indicators of representatives of each class have been determined. This result indicates the efficiency of the approach for clustering customers of customer loyalty systems. The prospect of the work is to include in the number of input parameters clustering the volume of purchases by product categories. Also promising is the transition to clustering retail chains participating in the Maxbonus system.