bluuebunny/crossref_metadata_2025_split huggingface dataset:
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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.