Selection of power module and development of the circuits for frequency-controlled electric drive with microprocessor control system

This article is devoted to the creation of a test bench for the study of algorithms and control systems for frequency-controlled electric drive with microprocessor control based on the digital signal processor TMS320F28335. The requirements for choosing of the power module are formulated. The development of circuits for adaptation of logic signals levels is described.В данной статье представлена работа по созданию испытательного стенда для изучения алгоритмов и систем управления частотно-регулируемым электроприводом с микропроцессорным управлением на базе цифрового сигнального процессора TMS320F28335. Рассматриваются требования к выбору силовой части. Проводится разработка схем для согласования уровней логических сигналов

Evolution of Digital Technologies Used in Logistics

The modern economy is heavily influenced by digitalization, which is becoming a driver of economic growth and structural transformation of the economy. The Covid-19 pandemic gave additional impetus to these processes, stimulating the active use of digital remote working technologies. In different sectors of the economy, the impact of digitalization is different. The subject of study within the framework of the article is digitalization in the logistics industry. The main directions of digital transformation of logistics, priority technologies used in digital transformation, as well as positive effects and barriers to the development of digitalization in logistics, were highlighted

Social Rating System as a Form of State Control Over Society: Prospects for Implementation and Development, Threats to Realization

The purpose of the article was a scientifically sound assessment of the advantages and risks of introducing a social rating system into the mechanism of state control over society. The article reveals the concept of social rating and reveals the basic principles of its formation. The degree of influence of the rating assessment on the living conditions of citizens and stimulation of their socially useful behaviour is reflected. Using the example of Chinese experience, the procedure for implementing projects on the implementation of the social rating system was considered, on the basis of which a comparative analysis of the advantages and risks of integrating the concept of social rating into the mechanism of public administration was carried out. During the author’s study, general scientific methods of analysis and synthesis were used, as well as the monographic method and the method of establishing causal relationships

Management of thermal and mechanic flow characteristics in the output channels of a turbocharger centrifugal compressor

It is known that the thermal and mechanical characteristics of the air flow in the output channel of a turbocharger compressor largely determine the effectiveness of the gas exchange processes quality of a piston engine. The studies were carried out on an experimental installation containing a turbocharger, output channels of different configurations, a measuring base, and a data collection system. It was found that stabilization of the flow in the compressor output channel leads to a significant increase in heat transfer intensity (up to 25 %) compared to the baseline pipeline while simultaneously reducing the turbulence number by up to 30 %. A more significant increase in heat transfer intensity (up to 30 %) was observed in the output channel of the compressor with grooves compared to the base channel while simultaneously increasing the turbulence number by up to 12 %. The proposed configuration of the output channels of the compressor can be used to intensify heat transfer for the natural cooling of the air during the intake process. The configuration with a leveling grid can be used to stabilize the gas-dynamic flow parameters in order to reduce the hydraulic resistance of the intake system of a turbocharged engine. © Published under licence by IOP Publishing Ltd.Russian Science Foundation, RSF: 18-79-10003The work has been supported by the Russian Science Foundation (grant No. 18-79-10003)

Method of stabilizing pulsating gas flows in the intake system of a piston engine with turbocharging

Piston internal combustion engines (ICE) are the most common sources of energy among heat engines. Currently, most ICEs are equipped with a turbocharging system. Thermomechanical perfection of processes in the intake system largely determines the efficiency of engines. This article proposes a method of stabilizing the pulsating flows in the intake system by installing the leveling grid in the output channel of the turbocharger (TC) compressor. Studies were conducted on an experimental setup, which consisted of a single-cylinder engine and turbocharging system. A constant-temperature thermo-anemometer was used to determine the instantaneous values of the air flow rate and the local heat transfer coefficient. It has been established that the presence of a leveling grid in the intake system leads to a decrease in the turbulence number by up to 25% compared with the basic intake system (while maintaining the flow characteristics). It is shown that the installation of a leveling grid in the intake system of the ICE with TC also leads to a decrease in the heat transfer intensity by up to 15 % compared to the base system. The obtained data expands the knowledge base on the thermomechanics of pulsating flows in hydraulic systems of complex configuration. © 2019 Institute of Physics Publishing. All rights reserved.Russian Science Foundation, RSF: 18-79-10003The work has been supported by the Russian Science Foundation (grant No. 18-79-10003)

Two-dimensional array of diffusive SNS junctions with high-transparent interfaces

We report the first comparative study of the properties of two-dimensional arrays and single superconducting film - normal wire - superconducting film (SNS) junctions. The NS interfaces of our SNS junctions are really high transparent, for superconducting and normal metal parts are made from the same material (superconducting polycrystalline PtSi film). We have found that the two-dimensional arrays reveal some novel features: (i) the significant narrowing of the zero bias anomaly (ZBA) in comparison with single SNS junctions, (ii) the appearance of subharmonic energy gap structure (SGS), with up to n=16 (eV=\pm 2\Delta/n), with some numbers being lost, (iii) the transition from 2D logarithmic weak localization behavior to metallic one. Our experiments show that coherent phenomena governed by the Andreev reflection are not only maintained over the macroscopic scale but manifest novel pronounced effects as well. The behavior of the ZBA and SGS in 2D array of SNS junctions strongly suggests that the development of a novel theoretical approach is needed which would self-consistently take into account the distribution of the currents, the potentials, and the superconducting order parameter.Comment: RevTex, 5 pages, 5 figure

Maintenance of <I>Francisella tularensis</I> 15 RIEH and <I>Brucella abortus</I> 19 BA Strains in a Viable State by Means of Deep Freezing

Assessed are the methods for storage of microorganisms in a viable state under various technological conditions for a period of two years. Compared is the survivability of the test-strains of tularemia and brucellosis agents (exemplified by Francisella tularensis 15 RIEH and Brucella abortus 19 BA) when stored on the nutrient media at temperatures raging 0 °C up +8 °C and at -70 °C for over a year. Made has been an estimate of survivability of the vaccine strains stored at -70 °C within two years term. It is determined that optimum media for storing the stated above microorganisms with no changes in their morphological characteristics at -70 °C are sucrose-gelatin agar and Albimi broth with 10 % glycerin. Demonstrated is the fact that it is more efficient to conserve microorganisms stored in working collections by way of deep freezing

The Legitimacy of the Government in the Political, Legal and Economic Space of Modern Russia: Features of Understanding of the Socio-cultural Reasons

The article presents theoretical-methodological foundations of social and cultural interpretation of the nature of legitimacy of power. The authors present arguments for the importance of the transition research the government as a whole, its institutions, processes of legitimation and legalization of the national legal system from class or liberal principles and heuristic schemes to different cultural methodologies using hermeneutic methods in the study of Russian political and legal reality. In this context, the article presents and analyses aspects of the modern conservative legal discourse. It should be noted that modern legal literature is taking place several basic approaches to the understanding of its essence: institutional and sociological neo-institutional. Each of these methods of treatment of political (or rather, the state-legal) regime is valuable because it reveals the one or the other aspect of it, so these three approaches allow to reveal the essence of the institutions of state and legal regime and its special functional nature. Any economic model that does not properly solve the problem of inequality eventually will face a crisis of legitimacy. Unbalanced market and the state will not allow the interaction of the economy to overcome the social and political instability, which in turn will harm the long-term economic growth and well-being (Nouriel Roubini). Keywords: political and legal organization of society, socio-cultural factors, national leader of the legal mentality, political regime, state power JEL Classification: M14, G30, D72, K4

Use of a neural network in creating a digital assistant for blind and visually impaired people

The experience of ongoing research in image processing clearly demonstrates the huge scope for the development of new neural networks that can help people in a wide range of tasks. The authors chose the direction of work related to helping people who have vision problems. The article considers a convolutional neural network of the Mask R-CNN model for segmenting objects in an image. During the research the authors study a large number of algorithms that can quickly and accurately process images, such as Faster R-CNN, which was the most efficient in 2020. During the analysis, it was revealed that the use of Mask R-N technology can significantly increase the efficiency of performing tasks, since this algorithm is the latest version of the machine learning model. As a result of the study, a neural network was developed that is capable of identifying and distinguishing a large number of objects in an image. The next step is to refine the algorithm and use additional means of interaction with the hardware of the systems to increase the speed of the neural network. In the future, the resulting neural network will be integrated into the Digital Assistant for the Blind and Visually Impaired Persons application. This application is guaranteed to improve the daily life of people with disabilities who experience certain inconveniences due to their features, and can become the basis for other, larger projects related, for example, to unmanned devices, as well as services whose work is directly based on image processing