bluuebunny/crossref_metadata_2025 huggingface dataset:
Possibilities of enhancing the efficiency of the Angara cascade of hydroelectric power plants
Authors: Osipchuk E N , Nikitin V M , Abasov N V
Published: November 2020

The paper focuses on the reservoir regulation issues of the Angara cascade of hydroelectric power plants (HPPs). The current requirements of water users and the restrictions on the operating conditions of individual hydrosystems are analyzed. The inconsistency of the current legislation on water resources management in the Baikal and Angara basins is noted. Satisfying the requirements of water users and water consumers under normal and close-to-normal water availability, the management system cannot meet the standard needs and restrictions during the low and high water periods. One of the main reasons for the decrease in the reliability and stability of the water and energy systems in dry and wet years is a significant decrease in the regulation capabilities of the Irkutsk and Bratsk reservoirs versus design indices. The study involves an analysis of the operation of the Angara cascade of HPPs and the efficiency and reliability of the water management system of the Angara basin over the past 30 years. The optimal operating conditions of the cascade were modeled factoring in the current requirements of water users and socio-economic constraints for various hydrological conditions based on a 120-year statistical series of observations. Measures are proposed to enhance the effectiveness of managing the water resources of the Angara cascade reservoirs. The system of models developed by the authors was used to assess the effectiveness of the proposed measures. The assessments of the stability of the Angara water management system and the possibilities of increasing the probability of meeting the water users requirements are presented. We propose amending the current legislation to significantly boost the energy efficiency of the Angara cascade of hydropower plants, without violating the regulatory compliance of non-energy participants in the water management system of the Angara basin.
Evaluation of capital investments in energy equipment of a power plant by a power function
Authors: Shchinnikov P A , Frantseva A A , Sadkin I S
Published: November 2020

The paper proposes the use of a power function for evaluating capital investments in the main and auxiliary equipment of a power plant as a universal method for solving a wide range of applied and research problems. This approach allows assessing investments, based on the technical specification of the power plant such as parameters of working fluid, the climatic zone of operation, the type of equipment, type of fuel, etc.
The heat exchange research in the heat recovery unit with finned heat pipes
Authors: Hudaliev Yu M , Shishkin N D
Published: November 2020

The experiments were performed to research the heat exchange of the tube bundle in the heat recovery unit with finned body tubes. The empirical dependences for a finned-tube bundle are obtained. The results are in good agreement with the analytical solution, the discrepancy between the results is within 10%. The analytical model of the finned heat tube has been created, which will be tested experimentally in the future. The results obtained can be used in the design of HRUFHP.
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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.
Information and telecommunications technologies as one of the factors of Russia’s strategic development
Authors: Repinskiy O D
Published: November 2020

Creation of an effective system for using information and telecommunication technologies (ICT) is one of the main factors to improve Russia’s competitiveness in the global market. The country’s leadership has developed a set of documents on strategic development in the field of information and telecommunication technologies (ITC) inter alia the "Strategy for development of information society of the Russian Federation for 2017-2030" dated 05/09/2017 No. 203. Russia currently is far from leading positions in the field of information and telecommunication technologies (ITC) in the world market [1]. To change the situation for the better, it is necessary to determine the factors impeded ITC development and take steps aimed to reduce the impact of such factors. Information and telecommunication technologies are developing according to certain market rules which have been formed for more than a decade in parallel with the development of society. The emergence of innovative products and services in the segment has formed modern society in developed countries [2]. First of all, the Internet creation has led to emergence of the new products: sites, portals, online stores, online games, social networks [3]. Second, many companies involved to that kind of activity were established: in the face of intense competition as a result of mergers, acquisitions, splits on the securities, market large players with rapidly growing capitalization appeared - Google, Microsoft Corporation, Facebook, AliExpress. Information and telecommunication technologies are a new stage in the development of modern civilization; its latest trend is based on the creation and using of innovative products in all aspects of its life [4]. Russia has no alternative. In order to improve competitiveness in the world market, it is necessary to efficiently and quickly produce and put into practice various information and telecommunication technologies.
Increase in level of detection of secret embedding into compressed JPEG-images based on selection of informative features
Authors: Shumskaya O
Published: November 2020

The research of informational content of features in the spatial and the frequency domains at steganalysis of the compressed JPEG-images is presented. Modern steganalysis methods, based on which the feature set has been created, are considered. As a method of informative features selection has been applied the greedy algorithm with an exception which has allowed reducing number of features in the set from 43 to 26. The experiments have shown that steganalysis on the basis of informative features allows increasing the accuracy of correct classification of initial images to 94%, of images with attachments by the PM1 and the Jsteg methods by 25 and 18 percent respectively. The issue of steganalysis of images with artificially created distortions is mentioned. The experiments showed that steganalysis based on informative features allow classifying correctly such images with the accuracy 96%.
Modelling of electric drive of vibration exciter
Authors: Simonov B F , Neyman V Yu , Neyman L A , Kordubailo A O
Published: November 2020

The authors investigate whether it is possible to improve the models of the electric drives of vibration sources using Matrix Laboratory Simulink. The test subject is the simulation model of the electric drive of a borehole vibration exciter based on a linear double-acting electromagnetic machine. The simulation model consists of the power and control subsystem of the electric drive. This model allows the wide-range parametric analysis of processes in the electric drive by the computer modelling methods. The oscillograms of voltages and currents are obtained in the case of the electric drive control by the piston position for real-life and ideal sources of power supply. The oscillograms are compared, and the calculation error is estimated.
Simulation-dynamic model of influence of various advertisement on sales of services
Authors: Tynchenko V S , Kukartsev V A , Yamshchikov A S , Kukartsev V V , Farafonov M M
Published: November 2020

The article considers the influence of various types of advertising and identifies those that have the greatest impact on sales of services of different organizations. The model is built with consideration of the following types of advertising: event advertising, advertising on social networks, television and outdoor advertising. Also taken into account communication that has the greatest influence on the increase in the purchase of services. The constructed model is aimed at modelling the acquisition of service once and does not consider modelling repeat purchases. Based on the constructed graphs, changes in the number of existing and potential customers and the effect on the flow of customers from various types of advertising are analyzed. From this, conclusions were drawn about which particular type of advertising has the greatest impact, and which is the least and how communication affects the acquisition of services.
Modeling set theory laws using maple computer algebra system
Authors: Tyncherov K T , Olenev A A , Selivanova M V , Kirichek K A
Published: November 2020

The paper outlines ways in which the Maple computer algebra system can be used to master one of the branches of discrete mathematics – set theory. Computer algebra systems (CAS) expand the possibilities of creating, applying and using mathematical models on a daily basis by engineers, researchers, and foster the improved training of students in a wide range of disciplines. In addition, computer technology can help implement such methods as genetic approach and the use of various techniques to representing target objects in education. The most suitable for teaching discrete mathematics and mathematics at large are computer algebra systems such as Maple and Mathematica. The paper provides a Maple framework designed for the initial stages of mastering discrete mathematics within university curriculum, in particular, for working with the basic concepts and laws of set theory.
Optimization of back-end WEB server
Authors: Zhigalov K , Chirikova M V , Daudov I M
Published: November 2020

The application bottleneck is the database architecture. The applications developed more than 10 years ago suffer from low database performance. The databases in companies strongly enlarged during this time and began to work quite slowly. The article describes how the inclusion of master-master replication will optimize the backend operation to some extent without resorting to major changes. It will allow even distribution of requests across several (in this case, two) servers, regardless of the requested method.
Automation and optimization of the technological process of the peak hot-water boiler plant with justification of regulation parameters
Authors: Komarov V V , Malozomov B V , Visyagin V E , Fedyaeva V N , Grechneva M V
Published: November 2020

The paper presents the development of an automated control system for the peak PTVM-180 boiler. The selection of sensors, the selection of a programmable logic controller, the development of an automated workstation and visualization of the process, including the selection of effective parameters are presented.
Development of a formalized system for analyzing the technological design of products in mechanical engineering
Authors: Podrez N V , Govorkov A S , Labuz Yu A
Published: November 2020

This article discusses a typical production structure, describes the theory and terminology. The article also presents theoretical information on presentation of data, knowledge and types of knowledge, data formalization and describes the concept of formalization. The problem of automating the assessment of manufacturability of the product design using modern information technologies and data analysis was discussed. An algorithm for typical formalization of information used in the analysis of manufacturability was developed, and an example of its used for an electronic part model was provided.
Design and modeling of robotic surgical system for transurethral operations
Authors: Kabanov A A , Tokarev D A , Kramar V A
Published: November 2020

The paper examines the design and modeling of the robotic surgical system that is used for transurethral operations with resectoscopes. The proposed system consists of a robot-manipulator and a control system for a surgeon. A design feature of the robot-manipulator is the presence of free rotation units that ensure the mobility of the instrument together with the holder unit. This design eliminates a patient injury when one is displaced relative to the initial position. Another important feature of the proposed surgical robotic system is the ability to use an existing surgical instrument (resectoscope). The article describes the design, as well as the results of the modeling of the robot in the V-rep system. The parameters of the forces and torques of the executive system of the robot are obtained by simulation.
Methods of geomonitoring of technogenic objects to determine fast-flowing deformation processes using robotics
Authors: Knoll I A , Sharapov AA , Solovieva TA
Published: November 2020

A method of geomonitoring of technogenic objects to determine fast-flowing deformation processes using robotics based on the theory of multi-agent systems is proposed. The methodology is based on the conceptual geomonitoring scheme of an anthropogenic object by a group of "georobots" and a hardware and software complex represented by intelligent "georobots" that are functionally interacting with each other. The method developed by the authors makes it possible to exclude the direct presence of a person from the process of collecting data on the spatio-temporal state of an anthropogenic object. This method helps to promptly provide information on the state of an anthropogenic object in dangerous fast-flowing processes, which contributes to the timely determination of a practical managerial function to eliminate the accident.
Accuracy analysis of 3D points reconstructed from workspace of underwater robot
Authors: Skorohod B A , Statsenko A V , Fateev S I , Zhilyakov P V
Published: November 2020

Video cameras are widely used in underwater robotics to construct 3D coordinates of the workspace. However, the accuracy evaluating that takes into account the properties of the underwater environment, and technical implementation in uncontrolled conditions is still a difficult task. This assessment is especially important for robots that are focused on performing operations with items. In this paper, we propose a novel technique for accuracy analysis and demonstrate its possibilities on real data. It is based on a statistical approach that allows estimating the influence of all sources of perturbations using only experimental data obtained in an underwater environment.
Engineering analysis of bionic prosthetic arm elements in Femap with NX
Authors: Yanchuk T L , Grigorov P A , Govorkov A S
Published: November 2020

The study is divided into two principal parts. The first is devoted to the analysis of the structure of a hand prosthesis based on the principle of electromyographic sensor. The second part of the study is devoted to the analysis of the strength of the prosthesis structural element with its further modification. The study deals with the most loaded structural elements of bionic hand prosthesis made using 3D printing. The engineering analysis was carried out while specifying various variants of prosthesis load taking into account their approximation to real conditions.
Modeling of balancing transformers to determine the effectiveness of their application
Authors: Akhmetshin A R , Marin GE , Mendeleev D I
Published: November 2020

One of the urgent problems is providing consumers of distribution electric networks with high-quality electricity. The most important indicators of the quality of electricity are the level and asymmetry of voltage, the deviation of which from the normative indicators leads to disruption of operation and a decrease in the service life of electrical equipment. If the standard indicators of electricity are not met, the consumer has the right to demand compensation from the electricity supply companies. For balance the voltage on the 0.4 kV side of the step-down substations, it is promising to use transformers with a balancing winding both in new construction and in their reconstruction. The problem of determining the effect of the use of transformers with a balancing winding is that the manufacturer does not provide the necessary parameters for them to ensure the calculation of the phase voltage level when connecting an asymmetric load. Also in existing software products, such as, for example, Matlab/Simulink, there are no ready-made mathematical models of the transformers under consideration. As a result, it is impossible to reliably assess the benefits of replacing conventional transformers with a balancing winding, when the task of a feasibility study for the reconstruction of a substation arises in order to ensure standard indicators of the quality of electricity and reduce electricity losses.
High-speed amplifier development for the heat flow sensor
Authors: Alekseeva I K , Ivanov A A
Published: November 2020

This article describes characteristics of preamplifiers for Atomic Layer Thermopile (ALTP) sensor based on precision operational amplifiers AD8597, ADA4004, ADA4075, ADA4896 and ADA4528. Transfer functions and total output noise values of these preamplifiers were obtained experimentally using an Agilent InfiniiVision 3000 series X oscilloscope. Results of experimental verification of preamplifier characteristics using a high-speed heat source are presented and discussed; the best operational amplifier for the application is determined.
Study of switching processes in the zone rectifier with a fractional number of zones
Authors: Ivanov V V , Myatezh S V , Kapustin AV , Alekseeva IK
Published: November 2020

This work is devoted to switching processes which take place in zone rectifiers with a fractional number of zones. Methods of structural synthesis are implemented to analyze switching processes occurring in rectifiers circuits. By means of the considered circuits program modelling it is shown that structural synthesis method application allows not only making an effective directed search of improvements for circuits but also making the efficiency analysis during the search process.
The influence of the geometric profile of the air gap on the power and energy characteristics of an electromagnetic engine
Authors: Markov A V , Neyman V Yu
Published: November 2020

The influence of the geometric profile of the air gap of the magnetic circuit on the power and energy characteristics of an electromagnetic engine is considered. The research is relevant because of the need to improve the methods for the optimal construction of electromagnetic engines to solve the complex problem of increasing the efficiency of vibration systems with linear displacements of executive parts. The object of research is the construction of an electromagnetic motor created on the basis of an electromagnet with a flat attracting armature. The research was performed using finite element magnetic field simulation using the program Finite Element Method Magnetics (FEMM). Options for building models are considered. The differences in the efficiency of using the compared structures of electromagnetic motors of the same size and weight from the conditions of their economy are shown. The magnitude of the electromagnetic force and mechanical work are used as evaluation criteria. The research results are interesting for specialists in the field of electromechanical engineering devices with linear displacements of executive parts.
Development of intelligent virtual assistant for planning the optimal travel route
Authors: Bolodurina I P , Parfenov D I , Zabrodina L S , Kuznetsova L Y , Zhigalov A Y , Yanishevskaya N A
Published: November 2020

In this article the developing of an intelligent travel planning system is considered. Travel planning system includes an intelligent search module, an optimal budget planning module and a module for building an optimal route. The intelligent search module acts as a recommendation system and offers the user sights and interesting places to visit. The optimal budget allocation module helps the user to plan their finances taking into account their preferences for the comfort of travel and accommodation. Based on the obtained data, the optimal route planning module plans a schedule of visits to the selected attractions. In this article, we consider the production model of knowledge representation to determine the most preferred travel destinations for tourists, the application of a genetic algorithm for the optimal distribution of the travel budget and the modification of the method of imitation of an ant colony to find the optimal route between the cities.
On the possibility of operational management of reservoir pressure in a multilayer reservoir exploited by dual completion and injection method based on recording current gas factor of products extracted from each reservoir
Authors: Davydova O V
Published: November 2020

The paper discusses the problem of operating complex and expensive telemetering equipment designed to monitor and control a multilayer field operation using the dual completion and injection method. The author offers an alternative to the applied wireless and wired data transmission (as the first type does not have the required range and the second does not have the required reliability) technology. It is a new method for monitoring and controlling reservoir pressure in real time based on recording the current gas factor of the products extracted from each layer using dual completion method and ensuring its relative stability due to the operational management of their reservoir pressure through the dual injection system. At the same time, it is proposed to use commercially available automated group measure unit equipped with corresponding sensors as the means of measuring gas/oil ratio. Testing the method of reservoir pressure management proposed by the author for the two-layer reservoir of the Tedinskoye field of Lukoil-Severneftegaz confirmed its effectiveness, which served as the basis for the development of an appropriate methodological guide and filing of a patent.
Diversification of lean manufacturing for actual innovation
Authors: Gurjanov A V , Zharinov I O , Zharinov O O
Published: November 2020

Lean manufacturing classical format must be re-organized with the Industry 4.0 requirements. The base innovation is the production client-centricity to justify the appearance of synchronicity mechanisms of the new cyber-machine (CM). Several items product bunches may limit the CM re-arrangement time under the tide production conditions. The CM remote operative re-arrangement is a non-alternative way to reduce the production expenses after some machines non-engagement. We proposed a U-way scheme of CM with client service integration. Lean manufacturing technologies are a service factory base. The client service provides the fixed attributes settings of the item being manufactured using CM to unite client service and CM resources means to create a general industrial environment tools repository, which functions with lean manufacturing principles.
Tools for solving the problem of optimal regulation of airline fleet schedules
Authors: Korotkova Y L , Mezentsev Y A , Estraykh I V
Published: November 2020

The problem of optimal regulation of fleet assignments for airline flights is considered. The optimal scheduling consists in such scheduling or change of schedules that minimize the increase in the total length of the schedule or the losses of the system from violations of the set departure schedules. This is an NP-hard problem and has no effective algorithms for exact solution. A detailed review of approaches to solving its modifications and related fleet management tasks is given. Original formal setting and solutions are presented. The statistics of the testing of its software solution means modifications are presented, which proves the actual effectiveness of the developed tools.
Model of production resource management for manufacturing enterprise
Authors: Kukartsev V V , Tynchenko V S , Cherepanov A I , Dzhioeva N N , Petrenko V E
Published: November 2020

The article discusses the construction of a simulation-dynamic model of inventory management for production. The model is built taking into account the following factors: production, shipping, desired demand, desired productivity, labor and others using Powersim Studio. A model management interface was created, which includes an input interface through which input of initial data is carried out, as well as an output interface that allows seeing the difference between demand and production, the actual and desired workforce, as well as the current and desired inventory. On the basis of the experiments, conclusions were drawn regarding the available data, and a comparison of the results of the experiments was carried out, as well as illustrating how the model visualizes changes in the process of inventory management.
Analysis of tools and data sources for assessment of digital city development
Authors: Kurcheeva G I , Bakaev M A , Klochkov G A
Published: November 2020

The relevance of the work is due to the search for opportunities and tools for obtaining analytical information to assess the quality of life of the population of the digital city. The heterogeneity and constant complication of human activity in modern cities, as well as the unique economic, cultural and managerial specifics of various countries and cities determine complexity of the problem under consideration. The transformation of urban life and citizens’ activities entails the need for a qualitatively new construction of the relevant organizational, managerial, information and communication structures, which must fulfill their functions with sufficient efficiency, minimal resources, and at the same time, have the flexibility and adapt to fast-paced development of cities. The development and evaluation of indicators of the quality of life of the population in the “digital city” seems to be a necessary component of the effective social and technological progress of the Russian society.