bluuebunny/crossref_metadata_2025_split huggingface dataset:
Heat technological and ecological aspects of co-combustion of gas and fuel oil in tube furnaces of oil refineries
Authors: Yu Kuleshov O , Muslimov E I , Ovchinnikov A A , Sedelkin V M 
Published: November 2020

Abstract
The article provides a theoretical justification for the effective operation modes of a cylindrical tube furnace with the combined combustion of gas and fuel oil in order to improve heat technological and ecological indicators due to the complex impact of a several factors: 1) burning gas and fuel oil in certain ratios, that provide a sufficiently high heat supply of the radiation heating surface, and 2) reducing the temperature of the flame in the zone of intense burning due to the intensification of radiant heat transfer in the furnace. The latter can be achieved by increasing the emissivity of the flame, and by changing the tube coil binding and reducing the temperature of the inside raw material flow and the wall of the tubes in the zone of intense burning in the combustion chamber of the furnace.
Efficiency of flexible operation of cogeneration nuclear power plants
Authors: Khrustalev V A , Garievskii M V 
Published: November 2020

Abstract
The purpose of the study is to estimate the efficiency of long-distance heat supply from nuclear power plants with the ability to vary the production of heat and electricity. The method of multi-factor system analysis taking into account the real cost of products produced: electricity, network water for heating and hot water supply were used. Differences in revenue from sales of heat and electricity in different months of the heating period, day and night, and also taking into account the forecast for the future, were taken into account. It is shown that only the price method of accounting for production at nuclear power plants by products can really assess the effectiveness of the multi-product production of NPPs.
Efficiency investigation of nuclear power plant combination with a system of water and phase-transfer heat accumulators
Authors: Yurin V E , Murtazov M A 
Published: November 2020

Abstract
Combination of nuclear power plants with accumulation installations can be one of the ways to participate in regulating load schedules for the NPP, due to the fact that it allows to store of cheap night time non-peak energy and it’s further using during the peak hours of electric load. The use of accumulating systems will allow to optimize the structure of power generating capacities with the possibility of increasing the share of powerful power units and also will reduce emissions into the environment by reducing the share of thermal power plants operating on fossil fuels. One of the most perspective types of batteries are phase transition accumulator. Their use will make it possible to get the steam for an additional turbine without changing the steam flow in the main NPP cycle and will allow to avoid equipment modernization and an increase in its wear. At the same time such accumulators are very expensive. One of the solutions can be a combination of phase transition accumulator and additional steam turbine with inexpensive, in relation to phase transition accumulator, feed water accumulators, which, like the phase transition accumulator, will be charged at night due the energy of main steam. In this case, the phase transition accumulator will work only as a steam generator. In the course of this work, the systemic conditions for the payback of the proposed accumulation system are determined. Net present value is determined in the depending of range of half-peak and off-peak electricity tariffs.
Error correction algorithm developed for special-purpose computing devices based on polynomial modular codes
Authors: Kalmykov I A , Sidorov N S , Tyncherov K T , Vorohov A A 
Published: November 2020

Abstract
Special-purpose computing devices (SPCD) are used to solve tasks that require either real-time processing of a large amount of data, including digital processing of audio/video signals and OFDM systems, or high accuracy, like friend-or-foe identification for satellite communications systems. To achieve this goal, it is proposed to use parallel processing at various levels. Parallel computing increases circuit costs though, which incites SPCD to fail. The most promising solution to this contradiction lies in the use of position-independent redundant polynomial modular codes (PMC). These codes aim to increase the speed of data processing through the parallelization of computation at the level of arithmetic operations. What is more, thanks to independent and parallel processing of residues, they have the potential to detect and correct errors caused by the failures to occur during computation and during transmission over communication lines due to interference. Therefore, it is crucial to develop an error correction algorithm for special-purpose computing devices based on polynomial modular codes.
Peculiarities of NTP protocol realization for microprocessor systems with limited computing resources
Authors: Plotnikov D A , Aljeazna W K M , Lachinand V I , Solomentsev K Yu 
Published: November 2020

Abstract
The article gives brief information on the structure of the NTP protocol messages, describes the problems that arise during the formation and analysis of such messages in microprocessor systems with limited computing resources. Various ways of converting the time values into the timestamp format of the NTP protocol are analyzed, and recommendations for choosing the most appropriate method are given.
Comparative analysis of accuracy of various neural networks and optimization algorithms in recognition of clothing items task
Authors: Andriyanov N A 
Published: November 2020

Abstract
The study conducted the investigation of the accuracy of neural networks trained with various parameters of the neural network model for the standard MNIST data set containing 70,000 images of clothing items belonging to 10 classes. In particular, the influence of the number of neurons and the number of layers on the recognition accuracy was studied, and dependences on indicators such as the number of training epochs and the optimization algorithm were obtained. In addition, a brief overview of existing solutions was performed to select optimization algorithms. According to the research results, it was found that the best estimates on the database used were provided by the ADAM optimization algorithm with the largest number of training epochs and the most complex network structure. At the same time, the least accuracy was provided by the optimization method based on simple gradient descent. Best results were obtained for a multi-layer network with ADAM optimization and k-fold cross-validation.
The using of data augmentation in machine learning in image processing tasks in the face of data scarcity
Authors: Andriyanov N A , Andriyanov D A 
Published: November 2020

Abstract
The article presents the results of a study of the efficiency of various neural networks in the limited conditions of the source data and with a number of simple augmentations. In this case, the dependences were obtained for a serial neural network with back propagation of error. For data augmentation, the simplest transformations were used, including the letters tilting (italics), changing the color of letters (from black to red), as well as distortion of the reference images with white Gaussian noise at a signal-to-noise ratio q from 1 to 10. It is shown that the best results of recognition of letters of the Russian alphabet are provided by a network for which all the augmentation methods discussed in this work were used. A study of the dependence of recognition accuracy on the signal-to-noise ratio in all trained neural networkswas also conducted.
Diagnosis of the deviant behaviour in the field of ICTs in adolescent schoolchildren
Authors: Chernova E V 
Published: November 2020

Abstract
Informatization of education and all aspects of everyday and professional life of a person, led to the fact that modern man can not function fully outside the digital environment. In the information environment of the society the actual trend is the transfer of the human society norms from real life to virtual. However, along with the norms, new types of deviations from normal behaviour are transferred, adapted and appear in the virtual environment – the behaviour deviation in the field of ICT. They manifest themselves most acutely in the teenage environment due to physiology and personality development of adolescents. At the present stage of the Humanities development, insufficient attention is paid to the problem of prevention and diagnosis of students’ deviant behaviour in the field of ICT. Early diagnosis of the adolescents’ deviant behavior manifestations in the field of ICT allows teachers and parents quickly responding potential problems in adolescents and provide a teenager with timely assistance, without translating the unsystematic manifestations of deviance in behavior into behavior al norm. The article presents the results of our methodology application to diagnose the deviant behaviour of schoolchildren in the field of ICT in the secondary school of Magnitogorsk based on longitudinal research of pupils.
Forecasting the server status using the triple exponential smoothing model
Authors: Dubrovin M G , Gluhih I N , Karyakin I Y 
Published: November 2020

Abstract
This article examines the issue of forecasting the time series of server systems and suggests applying the triple exponential smoothing model to solve this problem. It presents a mathematical formulation of the problem and describes the specifics of forecasting the time series of server systems. After this the article gives a comparative analysis of the autoregressive, neural network and exponential smoothing models in terms of their application to this problem. It argues that the triple exponential smoothing model (Holt-Winters method) offers a number of advantages when modelling the time series of server systems. It then provides experimental research to evaluate the accuracy of the Holt-Winters method with respect to the indicated time series. The research shows that the triple exponential smoothing model exhibits high results and can be applied to the solution of practical problems.
Recognition of deaf gestures based on a bio-inspired neural network
Authors: Grif M G , Kugaevskikh A V 
Published: November 2020

Abstract
In this paper discusses the current situation in Russia and the world in the field of development of sign languages translation system. The main problems are formulated, and ways to solve them are given. One of the most important unresolved tasks is the task of recognizing the gestures of the deaf. To effectively solve it, an approach based on the development of bio-inspired neural networks is proposed. The architecture of a bio-inspired neural network, including four types of neurons, is described. New simpler MT neuron model proposed.
Comparative analysis of background subtraction algorithms in the task of recognizing and identifying people in a video stream
Authors: Idimechev I A , Mikhalev A S , Goponenko A A , Stavenko S S , Kukartsev V V , Tynchenko V S 
Published: November 2020

Abstract
The article is devoted to one of the most urgent tasks for today: preprocessing video material in the process of recognizing and identifying people in a video stream. The authors of this article conducted a study, which consists in comparing the results of several algorithms for subtracting the background on various input video materials (from the office and the minimum concentration of people, to the dining room in which there are up to ten or more people). The data obtained during the analysis of the algorithms is compared (such data are the number of frames processed per second, and the average load of the computer’s central processor). The most efficient algorithms that coped with the task most quickly, accurately and with the least expenditure of resources, were identified, as well as those that coped with the task the worst.
Technologies for obtaining and processing of space radar images for monitoring the state of the Earth’s surface
Authors: Ilyukhin D A , Ivanik S A , Vystrchil M G , Kachan D , Savchenko A 
Published: November 2020

Abstract
The paper presents the main results of the analysis of the efficiency and suitability of satellite differential radar interferometry methods using free software products and satellite imagery for general purposes. The work used data from the Copernicus program of the European Aerospace Agency; processing was carried out for radar images of the Sentinel-1 satellite family. The result of the research is a series of recommendations on the use of the considered technology and the possibility of its implementation in enterprises, taking into account the revealed features, advantages and disadvantages.
Method of the main components in comparative analysis of job satisfaction
Authors: Ivashova V A , Tokareva G V , Yuschenko I V , Morozova V N , Kosnikov S N , Pichugin Yu A 
Published: November 2020

Abstract
The article presents a comparative analysis of employees’ satisfaction with the main components’ method of work. The research was carried out on the example of personnel of Stavropol State Agrarian University. The estimation of satisfaction of scientific and pedagogical workers with the work was carried out by a method of the anonymous questionnaire. A total of 629 people took part in it. The statistical analysis was conducted in SPSS Statistics (version 21). It is shown that the personnel are the main driving force of all production processes in the organisation with a client. By the example of the university personnel involved in the primary processes - educational and scientific, the specifics of work with the staff are described. The importance of implementation of permanent procedures for maintaining motivation and efficiency of employees and ensuring the optimisation of human resources potential of the organisation is emphasised. In this connection, the question of available mathematical tools and algorithms of estimation of satisfaction of the personnel with work is actual. As the tested algorithm the method of principal components and construction of a model of satisfaction with work of the staff on an example of age groups are offered: "under 30 years" - young scientific-pedagogical workers and "51-60 years" - mature scientific-pedagogical workers. The differences in the complex of labour satisfaction factors of these categories of workers and strategic approaches in the regulation of human resources potential of the organisation are shown.
Extension for multi-objective genetic algorithms based on the dynamic population size model
Authors: Kazakov P 
Published: November 2020

Abstract
The paper describes an original way to improve the efficiency of genetic algorithms for multi-objective optimization using the proposed model for dynamic control of population size. This model is used as the extension (modification) for any evolutionary methods of multi-objective optimization. It is based on using the dynamic population size allows multi-objective genetic algorithms to adapt for search space, to enhance the diversity of population and to increase the number of non-dominated solutions. The model uses two additional parameters – age and lifetime of an individual. The value of the first parameter is equal to the number of generations the individual stays in the population. The age increases after each generation, and if it has exceeded lifetime parameter value, an individual is removed from a population. The special expressions for the lifetime parameter calculation were obtained. An individual’s lifetime depends on its Pareto rank and fitness value. A lifetime increases if ones have improved in comparison with a previous generation. The efficiency of dynamic population size using was studied at solving the test multi-objective optimization problems set with a different complexity. In many cases the algorithms used dynamic population size achieved a better distribution and convergence to the true Pareto-front in comparison with other tested genetic algorithms.
Assessment of the resource of vertical cylindrical tanks taking into account the parameters of the technical condition
Authors: Kulakov P A , Rubtsov A V , Afanasenko V G , Mukhametzyanov Z R , Khasbutdinova E V , Gimaltdinov I K 
Published: November 2020

Abstract
The question is about assessing the residual life of vertical welded cylindrical tanks after carrying out their full technical diagnostics on the technical operating parameters, taking into account the combined influence of the technical condition parameters of the tank equipment of oil and gas refining industries. The authors developed a mathematical model, established diagnostic coefficients and the informational content of the indicator for each of the periods considered, determined by the expert. A methodology for assessing the residual life of vertical cylindrical tanks with the possibility of applying a measure of informational content Kullback is presented. The values that fall outside the field of the developed model are demonstrated. Conclusions are made on the appropriateness of using the developed methodology to solve the problems of predicting the residual life of vertical cylindrical tanks of oil and gas refining industries.
Fast simulation of the simplest electric motor with back and forth mechanical motion
Authors: Sattarov R R , Morozov P V 
Published: November 2020

Abstract
The concept of the simplest electrical motor with back and forth mechanical motion as an extended version of a well-known elementary one-conductor DC motor is introduced in the paper. The basic mathematical expressions describing the motor principles of operation were presented. The fast and simple direct approach for the creation of a Simulink model was introduced. The Matlab/Simulink model of the motor consists of the subsystems including an EMF equation, a voltage equation and a movement equation with external load force. The simulation results allow understanding of transient and steady-state processes in the motor. The studying of the simplest electrical motor gives the fast and deep understanding of the main properties of the motors with oscillatory, back and forth motion.
The graph-based analysis of structural delays in distributed multiprogram systems of information processing
Authors: Muntyan E R , Melnik E V 
Published: November 2020

Abstract
The paper discusses the issues related to the fault-tolerant computing systems design in terms of the structure and redundancy. It is shown that usage of prospective reservation methods significantly increases a complexity of the system design procedure. This is caused by the growth of the system configuration cases number because of the system redundancy and the need to test as many configurations as possible under the conditions of failures. To reduce the single configuration analysis complexity, an approach based on graphs with multiple edges such as vector allowing combining several edges of different types is proposed. Simultaneously, models based on such graphs allow representing the computer system structure, taking into account multiprogram data processing mode, and significantly reducing the calculation time of basic characteristics.
Mathematical concept and computer analysis of distortion power in a non-sinusoidal AC network
Authors: Myatezh S V , Myatezh A V , Malozyomov B V 
Published: November 2020

Abstract
A new mathematical concept and computer analysis of inactive power based on the presentation of generalized vectors of instantaneous values of voltage and current by four coordinates on a complex plane is presented. The analysis of the work of researchers over the past 100 years has established the mechanism for the occurrence of distortion power. In the new concept, this power does not characterize the degree of distortion of the forms of the load current curve with respect to voltage but determines the intensity of deviations of the instantaneous active and reactive powers relative to their average values.
Comparison of finite element modelling of a magnetic field by the example of solving the magnetostatics problem
Authors: Neyman V Yu , Markov A V 
Published: November 2020

Abstract
Two approaches for calculating the magnetic field in the structural elements of an electromagnetic engine using the finite element method are considered. Comparison of programs in test mode is proposed on the example of calculating the power characteristics of a linear electromagnetic engine with an axisymmetric construction and a complex profile of the magnetic circuit. Programs focused on solving field problems in two-dimensional areas. For assess the accuracy of the results of finite element modelling, a comparison with the force characteristics obtained on the physical model was made. Based on the results of testing the programs, the errors in the calculations and the further use of programs for solving magnetostatic problems are estimated.
Short-term forecasting of the time series of electricity prices with ensemble algorithms
Authors: Peshkov A V , Alsova O K 
Published: November 2020

Abstract
This article presents the results of using ensemble algorithms for short-term hourly forecasting of electricity prices. Combining forecasts has proved itself to be the approach that is most useful in the following situations. There is uncertainty in choosing the most accurate forecasting method. There is uncertainty associated with the choice of input data and factors that should be taken into account when forecasting, it is necessary to avoid large forecasting errors, both in the direction of overstatement and in the direction of understatement of the studied indicator. The article describes the author’s software implementation of the ensemble model of forecasting the time series (TS) based on the adaptive method in the R environment, as well as the results of a comparative analysis of the accuracy of forecasting TS electricity prices using the single (Holt-Winters, ARIMA) and ensemble models (OPERA, adaptive model). The results obtained allow concluding that the use of ensemble models in solving applied problems of forecasting time series is promising.