bluuebunny/crossref_metadata_2025 huggingface dataset:
Improving the quality of lint by strengthening the cleaning of cotton seeds from waste
Authors: Abdugaffarov Kh J , Safoev A A , Murodov O J
Published: May 2020

The article indicates that in order to obtain a lint in accordance with quality requirements, an amplifier is required for the process of cleaning cotton seeds from weed impurities and the article presents the results of experimental studies of a screw conveyor for transporting cotton seeds from gin to linter machines, which has a unit for cleaning seeds from weed impurities. It is shown that the rotational speed and pitch of the screw have a significant effect on the cleaning effect of the installation. An analysis of the results of experimental studies indicates that with an increase in the speed of rotation of the screw and a decrease in its pitch, the cleaning effect increases.
The use of neural network technologies to optimize the shape of an object during mass transfer of air
Authors: Chernov N N , Kovalev A V , Palii A V , Sayenko A V , Maevskiy A M
Published: May 2020

In this article, the authors propose using a neural network to optimize the aerodynamic drag of a body in a gas flow. The use of such optimization methods using evolutionary algorithms makes it possible to obtain a mathematical model that describes the shape of the aerodynamic profile, which allows the operator to easily change parameters. It is shown that the value of the drag force for a body of optimized shape is lower than the values for bodies of rotation and known profiles taken for comparison. As bodies, we can consider parts of engineering structures in the air flow, parts of vehicles, and bodies located in the air flow in the duct, in particular in the duct of the photo separator. The latter is important from the point of view of neural network photo separation of seeds and grain.
On preventing resonance condition in operation of rotary excavators
Authors: Liberman Ya L , Lukashuk O A
Published: May 2020

The article examines the causes of forced vibrations of the rotor. It was found that the increased tendency of rotary excavators to oscillate is caused by the frequency of scooping, which leads to self-oscillation. Основной причиной возбуждения нежелательных колебаний в роторных экскаваторах является формирование в процессе резания грунта сил отрицательного сопротивления. The frequencies of natural and forced rotor vibrations during the digging of different soils are determined depending on the speed of rotation of the working body and the depth of digging. The dynamic stability of the movement of the working body under the horizontal elastic pliability of the structure is investigated. The condition of occurrence of resonant phenomena during operation of a trench rotary excavator is determined.
Improving aerodynamic characteristics for drag reduction of heavy truck
Authors: Markina A A , Lukashuk A D , Chepkasov S N , Starovoytenko A V
Published: May 2020

Significant increasing vehicle performance can be achieved by reducing aerodynamic drag because of rising average speeds and reducing fuel consumption. Russian truck manufacturers do not prioritize the truck aerodynamic issues, therefore majority of existed models has a very high value of drag coefficient, and moreover, vehicles older than 10 years predominate in operation. In this regard, against the background of rising prices for liquid fuel, the reduction in aerodynamic drag allows to solve the problems posed. The article presents the results of a study of the aerodynamic drag coefficient for KAMAZ heavy truck when using a set of cab fairings of different shapes. Using the software, the analysis of the influence of the shape of the fairing on the coefficient of air resistance of the car is made. As a result, fuel economy is calculated taking into account the selected optimal cab fairing and cab–side extenders from the aerodynamic drag coefficient
The criterion power for identifying symmetric models
Authors: Polosin V G
Published: May 2020

The paper contains a theoretical material of research of power of entropy-parametrical criterion of the consent that used simultaneously both informative and statistical properties the samples data. As a result of the study, it was shown that the space of the reduced signs of the competing hypothesis is anisotropic. For this reason, in the entropy coefficient and anty-kurtosis space as the position as and the shape of the decision area depends on the direction and distance between the null and competing hypotheses. For various significance levels of the criterion, the dependences of the power of the entropy-parametric criterion on the modulus of the distance between the null and alternative hypotheses are obtained. These dependences are given for various directions in the space of reduced signs of distributions of the competing hypothesis provided that zero hypotheses is Laplace distributions.
Algorithm for calculating the technological parameters of the process of extrusion of rods from powder compositions based on iron
Authors: Polyakov A P , Polyakov P A
Published: May 2020

An algorithm is proposed for calculating the technological parameters of the process of extruding rods from iron-based powder compositions, which makes it possible to predict the density of the rods depending on the initial porosity of the briquette, the drawing ratio, the taper angle of the matrix, and determining the extrusion pressure. Criteria are selected for the selection of conditions allowing, after extrusion, to obtain a bar suitable for subsequent thermomechanical processing. The obtained data is supposed to be used for technological calculations of the processes for the production of engineering parts by powder metallurgy methods.
Simulation of the robotic transport devices characteristics
Authors: Chigbu A E , Danilov A D , Burkovsky V L , Gusev K Yu , Gusev P Yu
Published: May 2020

Modern development of microelectronics has made it possible to create a variety of compact technical tools that help in all areas of human activity. The scale of production of microelectronic components has enabled the development of many areas of science and technology that were previously engaged in only a few specialists. One of these areas is robotics. The development of robotics solves many problems-from everyday household needs to narrow specialized tasks related to space technologies. However, one of the most relevant applications of robotics is manufacturing. This is primarily due to the fact that the life cycle of any product begins with production. Industrial robots represent a wide class of technical devices which can perform such actions as: Assembly, welding, moving, warehousing, etc. At present, there are already fully robotized production, where man is only an observer, which interferes with work in a pinch. Separately, we should note the possibility of using artificial intelligence technologies in industrial robots, which provide adaptation to various tasks. However, there is a wide range of problems where the use of artificial intelligence is not justified and their solution should be thoroughly studied.
Mathematical model of the formation and burning of smoke-black particles in a motor cylinder during operation on an EFE
Authors: Likhanov V A , Anfilatov A A
Published: May 2020

Various models of the mechanism of smoke-black formation in the combustion chambers of an engine during the combustion of hydrocarbon fuels with the addition of alcohol are considered and analyzed. The models most suitable for use in numerical modeling of the diesel engine workflow are selected. To assess the effect of alcohol on the smoke-black content in exhaust gases, a calculation model was used, the main provisions of which are presented in the work.
The results of the influence of methanol on the effective performance of a diesel engine when working with DFS
Authors: Anfilatov A A , Chuvashev A N
Published: May 2020

The most effective way to use methanol in internal combustion engines today is to supply it directly to the diesel cylinders using a dual fuel supply system and igniting the ignition portion of diesel fuel. Thus, the study of the working processes of diesel engines refitted to work on alternative renewable fuels (methyl alcohol) is an urgent scientific task of important national economic importance, since it allows replacing petroleum motor fuel, and significantly improves effective, power, economic and environmental indicators. As a result of the adjustment tests of the 2H 10.5 / 12.0 base diesel engine when operating on diesel fuel and methanol with a dual fuel supply system, we can conclude that the installation angles of feed start are optimal from the point of view of efficiency and economy Θdf= 34 ° and Θm= 34 °.
Finish machining of gear wheels in a progressive manner
Authors: Vorobiev I A , Belyakova V A , Ushakov M V
Published: May 2020

The article describes the method of finishing, combined, cutting-deformation machining of gear wheels, which has a high correcting ability in terms of kinematic accuracy, smoothness of operation, contact of the teeth side surfaces and side clearance.
Wood gas generator management system for vehicles
Authors: Popov A A , Gritsenko E M , Nosyrev S A
Published: May 2020

This article presents the design and development aspects of a software package and hardware configuration which are allows for the preparation and supply of an air-fuel mixture to a car’s internal combustion engines which using charcoal or firewood as fuel. The software package and hardware should be implemented as a fuel control system. The microcomputer processes the signals from the sensors and allows you to receive data using the semi-automatic control of the fuel system, in addition collects statistical data and provides telemetry output to the dashboard or on the remote display and can be controlled via wireless interface. The following information is recorded in the database: state of sensors, current system settings and actions performed by the user. A remote device running on the Android operating system is connected via the widespread wireless Bluetooth communication channel, real time information about the system and the fuel system control interface are displayed in graphical form.
Estimating the effect of instrument accuracy on the accuracy of mathematical modeling of quality indicators of oil treatment for transportation
Authors: Konygin S B , Konovalenko D V , Kryuchkov D A
Published: May 2020

This paper is dedicated to mathematical modeling of oil treatment quality indicators. The system developed by the authors uses the results of measurements done with the instruments that the oil treatment unit is equipped with as the initial data for the modeling. In this regard, the effect of instrument measurement accuracy on the accuracy of prediction of crude oil quality indicators is relevant. The coefficient values of the effect of instrument measurement accuracy on saturated vapor pressure of the crude oil were estimated using a mathematical model of a typical oil treatment unit. It was shown that the prediction accuracy was most affected by the accuracy of measurements of temperature and gas consumption at the last separation stage.
Justification for the introduction of in-line diagnostics technology for field pipelines
Authors: Savicheva Yu N , Nafikova E I , Davletchina K S , Sandyrev K Yu
Published: May 2020

The article discusses the problems of introducing the technology of in-line diagnostics in field pipelines of small diameters. The necessity of introducing optimized in-line diagnostics for oil and gas companies is substantiated. A description is given of the concept of creating in-tube defect indicators (IDI), based on the use of electromagnetic and galvanomagnetic converters with magnetization by a constant magnetic field.
Controlling the periodicity of grinding wheel dressing with the application of expert decision support system
Authors: Samoylova E M , Zakharchenko M Yu , Vinogradov M V , Babenko M G , Ignatiev A A , Slesarev S V , Melentiev V A , Bokova L G
Published: May 2020

The article considers the influence of the grinding wheel dressings frequency on the end product quality after processing; it describes developing of smart algorithms for CNC grinding unit as a part of Expert Decision Support System with software implementation.
Cobots and the benefits of their implementation in intelligent manufacturing
Authors: Galin Rinat , Meshcheryakov Roman , Kamesheva Saniya , Samoshina Anna
Published: May 2020

The perspective of robotics in intelligent manufacturing becomes with Industry 4.0. Increasing the profitability of production is the main goal, which also depends on the organization of safety and efficiently human-robot interaction in a shared work place. Perspective robotic solutions integrated into intelligent manufacturing makes able to contribute an increase of automation in production with safety compliance. The portability and compactness of robots allow to optimize the production process and improve efficiency. An important stage of robotics was the ability to take robots outside of barriers and place them next to humans. This robotic solutions market is growing up every year. This indicates a high demand for the introduction of robots in intelligent manufacturing. Already today we can see how the main players in automated manufacturing have taken the first steps towards Industry 4.0.
Steering actuator based on a ball screw with a separator
Authors: Abdulin R R , Bolshakov V V , Podshibnev V A , Samsonovich S L
Published: May 2020

This paper considers the issue of improving the reliability of an electromechanical actuator in which the possibility of ball screw jamming has been excluded. For this purpose, an analysis of design solutions which allows to increase the reliability of an electromechanical ball screw linear actuator was carried out, design of ball screw with a separator was developed and patented, experimental studies of an actuator prototype with ball screw with a separator were carried out. The proposed constructive solution of ball screw, in which the nut is made without an internal thread, significantly simplifies the design and manufacturing technology. For experimental determination of static and dynamic characteristics of the actuator containing ball screw with a separator a mathematical model has been designed and a prototype similar to the electromechanical actuator with ball screw with ball recirculation has been made. The experiments showed that compared actuators have practically same static and dynamic characteristics, but the efficiency of the ball screw with a separator is lower than that of ball screw with ball recirculation, the reasons for the decrease and ways to increase efficiency in ball screw with a separator are considered.
Mathematical and computer modeling of a planar mechanism with a certain number of links
Authors: Mikhaschenko T N , Gavrilchik M V , Safronov V V , Sidorov P V
Published: May 2020

The article describes a mathematical model of the functioning of a certain planar mechanism, consisting of a finite number of links, interconnected by various types of communication. A software application has been developed that allows simulating various assembly options for most mechanisms based on analytical calculations and computer analysis. The mathematical basis of the study is the numerical methods for solving systems of nonlinear equations and coordinate - vector method for describing the position of the links of the planar mechanism.
Development and analysis of tool design for precision blind holes
Authors: Yakovlev V A , Tretyakov A E
Published: May 2020

Precise blind holes are very often used in machine part designs. As a rule, these holes are processed using CNC machines using various operations, or sequentially with various tools, which is the least cost-effective in contrast to a multi-function CNC machine. Comprehensive processing is a fundamental and crucial factor.
Active hybrid bearings as mean for improving stability and diagnostics of heavy rotors of power generating machinery
Authors: Shutin D V , Polyakov R N
Published: May 2020

The article describes a theoretical study of basic features of active hybrid bearings used as supports for heavy energy-generating machines equipment, primarily turbine generators and their turbines. Due to the adjustable oil supply pressure and using a controller of a rotor position AHB reduces its vibration level. Vibration velocity can be reduced from several times for smaller rotors to tens of percent for heavier ones. The eccentricity of the rotor position in the bearing also affects the efficiency of vibration reduction. In this case also some nonlinear effects are observed. In addition, AHB can possibly be used as a diagnostic tool for monitoring the health of a heavy power generating machinery due to its ability to generate power test impulses for rotor excitation and further analysis of its response.
The Industrial Internet of Things as one of the main drivers of Industry 4.0
Authors: Magomadov V S
Published: May 2020

The Industrial Internet of Things (IIoT) is one of the most important technologies offered by the fourth industrial revolution. This phenomenon is a promising technology which is able to transform industrial segments in a major way. Therefore, this paper is focused on this aspect of the fourth industrial revolution and attempts to explain what it is and how it is used by companies. The paper also explains how the IIoT is different from the Internet of Things as these two areas have a lot in common but there are also some major differences. Furthermore, it is explained in this paper what kind of challenges this technology has to face in the process of its development and integration. For example, such challenging aspects of this technology as scalability and security are discussed.
Experimental verification of the adequacy of a theoretical model of draft accuracy performed on a hydraulic press
Authors: Vyatkin A G , Vyatkin A A
Published: May 2020

The technique of obtaining a theoretical model of draft accuracy performed on a hydraulic press is considered. Using the basic principles of the theory of parametric sensitivity, a theoretical model was obtained to calculate the expected error in the height dimensions of the forgings. Applying the obtained model, the error in forging height was calculated, caused by the error in setting up the hydraulic press. The results of experimental studies to determine the influence of the error of setting up a hydraulic press on the accuracy of the height of the forgings are presented. A comparative analysis of theoretical calculations with experimental results is performed. Based on a comparative analysis, it was concluded that the obtained theoretical model is adequate
The effect of thermal feedback and statistical technological dispersion of microcircuits parameters on their thermal modes
Authors: Madera A G
Published: May 2020

During functioning of integrated circuit, the consumed power converts into heat, which makes high temperatures appear in it. Due to the strong dependence of the power on the temperature, its value changes as a result of self-heating, and the changed power, in turn, makes the microcircuit’s temperature change, thus closing the thermal feedback loop. Neglecting the thermal feedback in a microcircuit results in a significant discrepancy between the real temperature and its prognosticated values. The statistical technological dispersion of microcircuits electric and thermal parameters is the second most important factor that must be taken into account for adequately modeling thermal processes therein. Due to this dispersion, microcircuits’ real temperatures are not exactly known and determinate; on the contrary, they are stochastic, and their values are vary within some intervals. The statistical dispersion of a microcircuit’s parameters is conditioned by the technology of manufacturing and mounting the microcircuit in an electronic device, as well as by the stochastic parameters of ambient, such as the temperature, velocity and direction of flow of environment. In this article examines mathematical modeling the separate and simultaneous influence of the thermal feedback and statistical dispersion of the parameters on a microcircuit chip’s temperature. It has been shown that neglecting the said factors leads to the inadequate modeling of thermal and electrical regimes of microcircuits and to errors of design of electronic devices based on them.
Research on the disinfection of livestock wastes by ultrasound
Authors: Storozhuk T A , Klasner G G , Tyunin M Yu
Published: May 2020

Issues of using existing systems for the disposal, treatment and disposal of livestock wastes, taking into account environmental protection and improving the sanitary condition of livestock farms, need to be addressed immediately. The proposed technology for disinfection of livestock waste is cost-effective only under certain conditions of processing of feedstock. Providing these conditions leads to higher cost of processing. The most advanced methods of disinfecting wastewater are physical methods of exposure. The use of ultrasound is effective in disinfecting livestock waste from aerobic and anaerobic bacteria. Destruction of pathogenic microflora occurs under the influence of alternating loads, the range of which is established by the proposed method. Theoretical studies have established the scope of wave processes corresponding to ultrasonic disinfection of livestock waste. Under certain modes of radiation intensity and frequency, ultrasound results in a decrease in the coli titer of E. coli and staphylococci.
Approaches to building population registers in special automation systems
Authors: Vlasov A V , Kravets B B
Published: May 2020

The program aims to develop new forms of automation of the management of territorial registers for special purposes. It is based on an innovative interdisciplinary approach to improving the parameters of automation subjects. This program complements the regional register of subjects’ parameters in order to monitor those that are subject to special impacts. Subjects are monitored during special impacts. During the implementation of the program, the decision-maker oncologist receives personal data that provides communication with the subjects. The developed pilot project of the population register in specialized automation systems is important for optimizing the parameters of automation entities.
System models of organization the use of computer equipment for mechanical engineering production
Authors: Uchaikin R A , Orlov S P , Burkovsky A V
Published: May 2020

High responsibility and a wide variety of technological, design and project tasks are characteristic features of the machine-building enterprises of the space industry. The required product quality is achieved by automating engineering using computer hardware and software. The paper proposes complex system models for comparative evaluation of the effectiveness of the computer equipment allocation for the company units and controls the efficiency of their operation. The technique of using model of data envelopment analysis, aimed at both the identification of inefficient units and the definition of measures for the rational allocation of computer equipment, is proposed. A linear programming problem is formulated for a preliminary assessment of the use the computer technology in units. A mathematical model for constructing an efficiency practical frontier is proposed. The discrete programming problem for optimal computer equipment allocation is solved. Verification of the obtained solutions of the optimization problem is carried out using a simulation model based on the Petri net. The results of experimental studies are presented that confirm the adequacy and effectiveness of the proposed models.
Implementation of machine learning algorithms in the Sloan Digital Sky Survey DR14 analysis
Authors: Petrusevich D A
Published: May 2020

The fourth edition of the Sloan Digital Sky Survey has been investigated in the paper. There are a few telescopes analyzing sky at different frequencies. They generate a lot of statistical data combined into datasets. One of them is explored in the paper. The handled dataset contains information about three types of objects: stars, quasars and galaxies. Efforts of physicists aren’t enough to investigate vast amount of data. The goal of machine learning implemented in this area is to solve the most tasks of classification in automatical way. Attention should be paid only to some complicated cases. Information in such datasets is already marked up in order to apply classification algorithms and models. Review of literature has shown that neural networks are often used to investigate such datasets that could be handled with simple models. In this research some simple classification models are implemented, as well there are results of ensemble algorithms implementation. Advantages and disadvantages of their implementations are described, physical explanation of classifiers’ structure is presented when it’s possible. Results and conclusions could be used in processing of other astronomical datasets.
Analysis of big data processing technologies
Authors: Urazmatov T Q , Nurmetova B B , Kuzibayev X Sh
Published: May 2020

This article describes large amounts of information. Examples of large volumes are provided and some of their processing technologies have been analyzed. The advantages and disadvantages of the methods of processing parallel processing technologies of large volumes of data processing, the methods of selection of newly selected methods of selection and models are considered. These methods are compared with the distributed technology of data processing. This article discusses a few of the large volumes of data processing principles. They are: the principle of horizontal measurements, the principle of inverse stability, and the principles of data positioning. On the basis of horizontal measurements, any data processing system is expanding, with data doubling. In contrast to the principle of horizontal stability, the number of machines should not be increased. In the location of data, the data is distributed to a large number of machines. If the data is located on a server and processed in another, the cost of data transmission may exceed the cost of processing. Therefore, the most effective principle of data processing is the principle of information location processing. It is desirable to recycle data in a machine that will save them if possible. All models of large volumes of data processing are available in these three methods. This article analyzes a larger model of data that works with these principles. The MapReduce model also operates on the basis of the above three principles. This is also a model for distributed data processing to process large amounts of data in the computer cluster. In this article, several methods and models are analyzed and their advantages and disadvantages are discussed.
Coaching in energy efficiency control of manufacturing
Authors: Tsyganov V V
Published: May 2020

New trends in the management of manufacturing efficiency are associated with the development of such areas of Data Science as Big Data and Data Analytics, taking into account the human factor. With asymmetric awareness of management and personnel about the potential for efficiency, undesirable activity of personnel is possible. In this case, personnel as the active element selects its state in such a way as to maximize its own objective function. For this reason the energy efficiency of manufacturing can be not equal to the potential. Therefore, traditional methods and algorithms of Data Science may be ineffective. To solve this problem in the face of uncertainty, adaptive decision support system with coacher’s instructions is proposed. In this system, the manager is considered a disciple of the coach, even if both of them are not aware of the potential of the energy efficiency. In order to ensure the effectiveness of traditional learning algorithm of Data Science, that system includes rating and stimulation procedures. Sufficient conditions have been found for the synthesis of the decision support system which is learning with coacher’s instructions, in which the active element uses the potential of energy efficiency. The use of such system is illustrated by the example of energy efficiency of a wagon repair company.
Outrunning planning by network management in Industry 4.0 concept
Authors: Provotorov V V , Raijhelgauz L B , Fedotov A A , Makarova S N , Kravets O Ja
Published: May 2020

You need a digital twin to solve the problem of efficient planning in Industry 4.0. It is based on the use of scientifically proved algorithms and complicated mathematical models. The current trend for the consolidation of engineering enterprises in network structures is caused by the competition in this segment of production. Those business participants, who apply the latest solutions to the support planning based on artificial intelligence systems will get the advantage. A spectral approach is presented in the problem of finding approximations of the eigenvalues of the Sturm-Leewill problem with an unknown operator. The approach is based on the spectral features of the elliptic operator of the initial-boundary objective and the method for solving the inverse spectral objective of reconstructing the Sturm-Leewill operator by two sequences of eigenvalues matching two sets of boundary conditions. The method, presented in this article can be successfully used in the objectives of optimal controlling. The obtained results are fundamental in solving the objectives of optimal controlling by evolutionary systems in networks and the analysis of network models.
Regulatory aspects of import substitution in the oil and gas sector of Russia
Authors: Kershenbaum V Ya , Guseva T A , Moroz A Yu , Ageeva V N
Published: May 2020

The article discusses the legislative and regulatory aspects of import substitution by the example of the Russian oil and gas sector. Moreover, despite the use of standardization tools, including the making of long-term plans for the preparation of national standards, barriers to the successful solution of the import substitution problem arise, caused not only by poorly effective harmonization of standards, but also by significant differences in domestic and foreign regulatory practice of project management approaches. The article presents the results of an analysis of the harmonization of national standardization documents with international analogues carried out in accordance with the Federal Law “On Standardization in the Russian Federation”, the regional legislation of the Eurasian Economic Union, and the norms of the “Agreement on Technical Barriers to Trade” of the World Trade Organization. As an example, the work plans of the technical standardization committee 023 “Oil and Gas Industry” for the period from 2009 to 2020 are considered. The authors also defined the risks arising from the established differences, presented directions for improving the development of regulatory documents in the field of project management, contributing to the implementation of the tasks of import substitution in the oil and gas sector.
Algorithm for determining the coefficients of the interpolation polynomial of Newton with separated differences
Authors: Niyozmatova N A , Mamatov N , Samijonov A , Abdukadirov B , Abdullayeva B M
Published: May 2020

The article considers the problem of determining the coefficients of the Newton interpolation polynomial with separated differences. To solve this problem, a scheme, a tabular method and an algorithm for determining the coefficients without simplification and disclosure of brackets that arise when constructing polynomials by the Newton method are proposed. Based on this tabular method, approximation and interpolation problems can also be solved.
Models and algorithm for managing of the human capital development in a digital transformation of the machine-building enterprise
Authors: Bondarenko Yu V , Azarnova T V , Kashirina I L , Uhin A L , Sunteev A N
Published: May 2020

The article is devoted to the development of models and an algorithm for managing the process of continuous training of personnel as the most important direction in the development of human capital of an engineering enterprise. The proposed approach is based on a competency-based approach to learning. The paper proposes an algorithm for managing staff training. The basis of the algorithm is made up of mathematical models: a two-criteria model for the formation of an effective test package and a model for the formation of an optimal staff training schedule. The model for the formation of an effective test package makes it possible to select the minimum set from the set of tests, which makes it possible to obtain a quantitative assessment of the employee’s competency level. The model for creating the optimal schedule for staff training allows each employee to choose a program and a time period for training that ensure that the company achieves the maximum value of the total competence of employees. The model takes into account the production capabilities and needs of the enterprise in qualified personnel in the context of digital transformation.
Mathematical model of heart sounds
Authors: Zemlyakov Ivan , Zhdanov Dmitry , Kostelei Yana , Seleznev Anton , Bureev Artem
Published: May 2020

The article describes a mathematical model of physiological heart sounds created with due account for the pseudorandom generation parameters of component harmonic. The model uses the sine-cosine Fourier transform with probabilistic elements that are included to impart stochastic properties. These elements determine the frequency, origination time, life cycle and amplitude of harmonics. It allows synthesizing a phonocardiogram that quite accurately reflects the individual features of heart sounds within every systolic cycle. The article describes the spectral differences of reference and synthesized signals. In the authors’ opinion, these differences are conditional to distortions typical of the traditional microphone-based sensors.
The principles of adaptive control of a technical system using Cetlin probabilistic automata
Authors: Petrenko V I , Tebueva F B , Antonov V O , Smykova V N , Nechvoloda V E
Published: May 2020

This article examined the principles of adaptive control of a technical system using Cetlin probabilistic automaton. The study aims to reduce the learning time of the machine through the introduction of a progressive method for predicting short time series by the refined Brown method.
Modern benchmarks in educational process for economics and organization of mechanical engineering production
Authors: Lukyanova Yelena Yurievna
Published: May 2020

Nowadays economics and organization of mechanical engineering production needs several benchmarks for its modernization not only in technical and technologic aspects of functioning but also in educational process for future professionals in this area. Today’s education should be problem-based and inquiry based and includes experimental learning. The trends of domestic economy is adapting of economic units to modern business reality that is developing and implementing of quality management system (ISO 9001: 2015). That means forming of process management for business entities in mechanical engineering production sphere. Therefore problem-based, inquiry based and experimental learning basic should be process management forming tools that are also feasible for strategy improving and functioning under stochastic conditions.
Unconditional discrete optimization of linear-fractional function “-1”-order
Authors: Niyozmatova N A , Mamatov N , Samijonov A , Mamadalieva Naibakhon , Abdullayeva B M
Published: May 2020

The solution of many applied problems is reduced to solving optimization problems with the objective function of a linear-fractional functional of “-1” order. For example, economic tasks, tasks of placing objects, tasks about assignments, layout, production planning, an informative description of objects, medical tasks, etc. The article developed a new method for solving the unconditional optimization problem with the objective function of the discrete-fractional-linear functional of the “-1” order. As well as certain optimality conditions for the chosen solution, a theorem is formed and proved, which is the basis of the proposed method.
Edge detection in non-linear scalable space
Authors: Parfenov D V , Petrusevich D A , Sherstnev E V
Published: May 2020

Automatic image processing and computer vision applications often include object extraction and recognition. To extract object boundaries better, high-quality methods of edge detection are required. Objects in real-world photos usually have complex structure, and discovering their edges with higher precision is a very important and tough task. Better edge detection drastically increases the quality of the entire process. Unfortunately, edge detection problem still has no satisfactory solution in the case of real-world color images, because efficient approaches exist for grayscale images only. Known edge detection techniques usually either consist of special filters applied to a grayscale image, or implement rather unpredictably behaving artificial intelligence solutions. We propose a new powerful mathematical tool to extract edge information not only from intensity but from color distribution as well. Correctness of edge detection gets better by means of an adaptive mathematical model of non-linearly scalable color space. In our research, we consider flexible non-linear transformation of the color space with a few parameters. It helps reliably extracting otherwise faded edges delimiting the objects. We compare the results of edge detection process based on this new technique to well-known base-line approaches of Canny, Prewitt, Sobel and Wallace filters.
Algorithm for building a group incentive system in the implementation of engineering projects
Authors: Barkalov S A , Burkov V N , Burkova I V , Kurochka P N
Published: May 2020

Analysis of unsuccessful projects shows that the main reason is the violation of the time limits of the project. This implies the importance of project time management processes. It is known that measures aimed at reducing the time, as a rule, are associated with the occurrence of additional costs for performers. Naturally, the project manager must compensate for these costs, which occurs within the framework of the incentive system used. Given that engineering is a key area of the state economy, which largely determines its innovative development, it is very important to improve project management methods. It is shown how it is possible to carry out the development of a group incentive system aimed at ensuring a given value for reducing the duration of work. In this case, all the work, the duration of which must be reduced, is divided into groups and each such group has its own individual individual incentive system for all the works of this group. Naturally, such an incentive system is more expensive than an individual, but less than a universal one. The problem arises of designing group incentive systems that minimize the costs allocated to these goals.
Clustering of Covid-19 morbidity cases in Germany
Authors: Petrusevich D A
Published: May 2020

The Covid-19 coronavirus has spread almost all over the world. Though it has been reported recently that the epidemic declines in China, in other countries it still hasn’t achieved peak level. The data analysis methods may help struggling against the disease. The Covid-19 Tracking Germany dataset has been handled in the research. It’s daily refreshed dataset available at the kaggle.com site. It contains information on number of fallen ill people in Germany. The cases are grouped by federal land, city, age diapason and date. The main goal of the research is to underline differences in morbidity registered in different lands of Germany. There have been published new suggestions about connection between coronavirus morbidity and BCG vaccination. This question is also taken into account. Analysis based on the handled dataset is able to make only oblique conclusions because of lack of information. Differences in coronavirus morbidity in various regions and various age groups are highlighted. The regions of Germany are clustered into groups by gravity of recent situation.
Omni-channel customization of industrial production
Authors: Guryanova D A , Guryanov A V , Zharinov I O
Published: May 2020

The customizing technologies development stimulates the industry transition to implement into the production practice some new business models how to interact with the consumer some new manufacturing business processes to personalize the items. The industry adaptation for new models to control a production may explain the consumer mentality significant transformation and a result of which the production project priority tasks become the tasks to provide some individual requirements for a consumer. In short term the industry customizing is the turn moment of the State technological politics which already today modifies the population cultural code to prepare some productions oriented for the knowledge economy services. There are schemes and descriptions of technologies how to project and produce a customized item in the factories of the future. The customer interaction technologies with web resources applications are described to support some optional settings of customized item properties. There is a scheme of the industrial item omni-channel customizing coil scheme oriented for the end consumer. There are some research results and practical recommendations how to transform industrial companies business processes oriented for a customized item as the society development dominating factor in the postindustrial economy conditions.
Long-term projecting in the local or territorial automation systems with alternative network models
Authors: Potudinskii A V , Vlasov A V , Lysov D V
Published: May 2020

When monitoring long-term target-oriented innovation programs where alternative stochastic network models can be determined and optimized within the period of the project’s realization (e.g., transcontinental pipelines, developing oil/gas fields, creating new innovative industrial areas, etc.), we recommend applying the outlined basic structure of a long-term development model. Those models are based on the following concept: in all encountered situations within the progress of the project when the manager is faced with necessity to make a choice from the set of possible alternatives, he has to determine: deterministic alternative scenarios (fragments) which describe different ways to reach the desired target, and a stochastic system (usually a purely stochastic alternative network) with multi-variant outcomes of random nature. Such a stochastic system is fully determined by the chosen scenario and usually follows the latter.
Overview of the evaluation methods for the interpretable business decision support model for cybernetics and organization of production
Authors: Zuev Dmitry A , Kalistratov Alexey P , Zuev Andrey G , Afanasyev Guennadiy I , Revunkov Georgiy I , Potudinskii Alexey V
Published: May 2020

Authors made an overview of approach towards creation business decision support model. Authors underline requirements and evaluation methods for proposed model to be used in cybernetics and organization of production. Authors described domain problems and proposed interpretable model as a solution. Authors explored levels of the evaluation and chosen one that suits their problem. Authors also discuss business model influencing factors as local interpretability, severity of incompleteness, time constraints and level of user expertise.
Management model of a business union in service companies of aerospace industry
Authors: Smarzhevskiy I A , Murtuzalieva S Yu , Myakishev Yu D
Published: May 2020

The article contains a hypothesis about the operational properties of an employee based on an analysis of a number of empirical objects and the results of a study of the organizational behaviour of service company employees in the aerospace industry. A model of the impact on the operating performance of a separate structural unit of a company depending on a priori personnel installations is presented. Two different categories of workers: career-oriented and non-career-oriented, are the basis for adopting a priori attitudes. The second key assumption of the model is the assumption of a limited period in time during which a career-oriented employee maintains a sufficient level of performance. To maintain the efficiency of the structural unit at the required level, the management is forced to make decisions about promoting career-oriented employees and dismissing non-career-oriented employees. Within the framework of the analytical model, a region of parameter values is established corresponding to the adoption of effective personnel decisions. The range of applicability of the model has been determined: the features of the organizational structure and operating activities characteristic of service companies make it possible to consider the assumptions of the model realistic in relation to such business structures
Automated approach to building the multilingual frequency dictionary on system analysis and computer technologies
Authors: Kovalev I V , Karaseva M V , Voroshilova A A
Published: May 2020

The paper analyses the practical application of the multilingual adaptive – training technology. It contributes to the intensive accumulation of specialized foreign terminology by students who study one or more foreign languages for their professional purposes. The current version of the electronic multilingual dictionary is presented. The paper suggests a computer-aided approach to the analysis of the Multilingual frequency dictionary on system analysis and computer technologies.
Semistructured information in the organization of processes for managing large production systems
Authors: Polishchuk Y V
Published: May 2020

The paper proposes a functional-structural representation of a decision support system for large production systems that implements the ability to process semistructured factual information of related operational content through a single access interface. The application of the latter provides quick access to all factual information for a group of decision-makers in the synthesis of control actions on a large production system or its subsystem.
Simulation of the automated motion of a robotic agricultural vehicle
Authors: Susarev S V , Orlov S P , Kravets O Ja , Morev A S
Published: May 2020

The report explored the problem of digital testing of a robotic agricultural vehicle. The approach to representing the robotic chassis as a cyber-physical system is to build a complex of digital models of units and built-in measuring tools for monitoring physical processes. Based on a model-oriented approach, a digital twin of a robotic chassis for diagnostics and forecasting was built. Information from the vehicle’s on-board measurement system is used to continuously correct model parameters. Models of a car driver, chassis, individual units, and subsystems have been developed. A car model with fifteen degrees of freedom is described. The simulation results for various scenarios of the movement of a robotic vehicle are presented. The simulation results were used in the design of the KAMAZ unmanned vehicle for agricultural purposes.
Automatic x-ray image analysis for aviation security within limited computing resources
Authors: Andriyanov N A , Volkov Al K , Volkov An K , Gladkikh A A , Danilov S D
Published: May 2020

The objective of this work is to develop approaches to automating inspection procedure at airports. The article presents the deficiencies of the existing inspection system, concluding in the negative impact of the human factor. It is proposed to use convolutional neural networks for automatic x-ray image analysis of passenger baggage. The paper presents the results of the convolutional neural network with various input data and architecture within limited computing resources. In a view to further development, this study can contribute to the development of specialized software to help aviation security screeners through partial automation of their work.