bluuebunny/crossref_metadata_2025_split huggingface dataset:
Physics of evolution and unity of physics
Authors: Somsikov V M , Abylay A M , Kuvatova D B 
Published: November 2021

Abstract
The article considers the question of the possibility of constructing classical mechanics and empirical branches of physics, such as thermodynamics, statistical physics and kinetics on a general theoretical basis. The principles of constructing mechanics, thermodynamics, statistical physics, and kinetics are briefly given. It is shown how the construction of the above sections of physics on a unified basis became possible, relying on the mechanics of a structured body. The essence of this mechanics is that, unlike Newton’s mechanics, built for a body model in the form of a material point, this mechanics is built based on a body model in the form of a structured body. Moreover, the structured body is specified in the form of an equilibrium system of potentially interacting material points. It is shown how the equation of motion of a structured body is derived. The peculiarity of this equation is that it takes into account the transformation of the energy of motion of a structured body into internal energy when it moves in an inhomogeneous field of forces. This makes it possible to describe dissipative processes within the framework of the mechanics of a structured body without invoking statistical laws. Examples are given of how the empirical principles of the phenomenological branches of physics directly follow from the fundamental laws of physics.
Numerical analysis of the stability of nonequilibrium 3D evolutionary transfer processes in the network
Authors: Provotorov V V , Part A A , Shleenko A V , Sergeev S M 
Published: November 2021

Abstract
Analytical methods for solving various problems of an applied nature (for example, non-stationary transfer problems over network hydro, gas and heat carriers), whose mathematical models use the formalisms of evolutionary differential systems, are possible with rare exceptions. That is why the construction of numerical and simulation models for the use of quantitative analysis methods becomes a universal research tool, if at the same time the implementation of these models on a computer is carried out – in other words, a complex of software engineering of the process under study is formed. The study uses the method of semidiscretization by a time variable of the mathematical model of the evolutionary non-equilibrium process of continuous medium transfer, which remains one of the most effective methods for analyzing applied problems. In this case, the elliptic operator of the mathematical model has a special basis (a system of eigenfunctions), which is why the analysis is reduced to the study of a boundary value problem for elliptic-type equations with a spatial variable changing on a network-like domain. The paper presents the conditions for unambiguous weak solvability of a differential-difference system, which is a difference analogue in the time variable of the original system, and the way of constructing an algorithm for finding an approximate solution is indicated. The study contains an analysis of the stability and convergence of difference schemes of evolutionary network-like nonequilibrium processes of continuous media transfer over network carriers and includes an analysis of the correctness of the mathematical model of this process. The results of the work are applicable in the framework of oil and gas engineering to the study of issues of stabilization and parametric optimization of the processes of transportation of liquid media through spatial networks.
Reduction of scattering cross section of path antennas
Authors: Ryzhikov M B , Novikova Yu A 
Published: November 2021

Abstract
This report considers the possibility of reducing the scattering cross section of patch antennas when using emitters of various shapes and when using structures with non-zero surface resistance. The report presents the results of the influence of the choice of the shape of a emitter on the SCS in the region of resonant scattering frequencies. The scattering indicatrices of various emitters for the resonant scattering frequency are analyzed. Comparative analysis results of the decrease estimation for the SCS of the square path when using various forms of regions with impedance surface are presented.
Analysis of ellipsometric parameters in the reflection of circularly polarized light from a thin anisotropic plate
Authors: Yatsyshen V V 
Published: November 2021

Abstract
The article presents the results of the analysis of the angular spectra of the ellipsometric parameters of the reflected wave when a circularly polarized light wave is incident on an anisotropic plate. The given dependences show a very high sensitivity of the ellipsometric parameters of the reflected light on the angle of incidence and the angle between the optical axis and the normal to the plate boundary. The energy reflection spectra themselves show much less variability when these parameters change. It should be especially emphasized the nature of the change in the ellipsometric angle Δ, which is responsible for the type of elliptical polarization - when Δ> 0, the polarization is left-handed, and when Δ <0, it is right-handed. It is shown that a thin anisotropic plate at certain angles can serve as a polarization converter of the incident radiation. The ellipsometry parameter ρ characterizes the degree of compression of the ellipse - when ρ = 1, the ellipse is transformed into a circle, and the light is circularly polarized in this case. Thus, a thin anisotropic plate can not only convert left-handed polarization to right-handed, but it can also control the very shape of the polarization ellipse. Such a plate can be used in conjunction with a layered medium, for example, a one-dimensional photonic crystal, to control the polarization of the incident circularly polarized light.
Analysis of dynamic circuits of contactless switching devices
Authors: Abduraimov E Kh , Khalmanov D Kh , Nurmatov B A , Peysenov M B , Toirova N J 
Published: November 2021

Abstract
The main content of the study is the analysis of theoretical and virtual-experimental studies and methods of analysis of transients in semiconductor nonlinear dynamic circuits of contactless switching devices, presents transient graphs constructed using a virtual computer model. In addition, presents solutions of differential equations of the state of such circuits by the numerical Euler method.
Method for investigating rarefied gas flow around a cylindrical surface at arbitrary Knudsen numbers
Authors: Belov Vladimir N , Mayasov Evgeny G , Pervushkina Elena A , Statuev Aleksey A , Trukhmanov Viacheslav B 
Published: November 2021

Abstract
A moment method for solving the linearized kinetic Boltzmann equation for arbitrary Knudsen numbers is presented. The isothermal flow of a rarefied gas around a cylindrical surface (the limiting cylindrical Couette problem) is investigated. The moments of the collision integral are calculated for the hard sphere model. The moment of resistance force acting per unit length of the surface, the profile of the gas flow velocity in the transient regime, and the gas velocity on the surface are calculated.
Boundary problems in cellular automata for topological insulators
Authors: Fedchenko D P , Novikov V V , Timofeev I V 
Published: November 2021

Abstract
In physics, a topological insulator is a material that simultaneously exhibits the properties of a conductor on the surface and an insulator in the bulk. An abstract model of a twodimensional topological insulator is described in terms of tricolour cellular automata and excitations of a topological insulator are classified.
Analysis of the effect of synchronization of a group of nonexplosive sources on the results of field work
Authors: Maykov O A 
Published: November 2021

Abstract
The article deals with the issues of synchronization of a group of sources for exploration of minerals. A group of 3 impulse sources with different delay times (500,1000,2000 μs) for a two-phase medium is modeled, the upper layer is a water layer 20 meters deep, the lower layer is a layer of sedimentary rocks 350 meters deep. Impulse action is one period of harmonic oscillation with a period of 0.1 s. Time diagrams were recorded at depths of 50 and 100 meters. It is shown that the use of a delay of 2000 μs leads to a halving of the signal amplitude at a depth of 100 meters. The data obtained show that improving the synchronization of a group of sources for the needs of seismic exploration will allow focusing and creating the maximum signal amplitude at a given point.
Computational analysis of the digital footprint using machine learning and artificial intelligence
Authors: Munister V D , Zolkin A L , Malikov V N , Kosnikova O V , Poskryakov I A 
Published: November 2021

Abstract
The article discusses the procedure of step-by-step formalization of the software model of the system for accounting and forecasting the effectiveness of employees of an IT enterprise The issue of control of social interaction is considered. The relational model from game theory based on a specific data model template is proposed. Generalization in form of highlighting the categorical apparatus of metrics that directly or indirectly affect the procedure for assessing work efficiency, downtime or incorrect use of a working device (computer) is proposed. An architectural model of the application is proposed and substantiated, a model of a system for working with metrics is determined, the implementation of the necessary analysis tools in form of a combination of various machine learning algorithms used in systems with a binary classification based on decision making by the operator (the object of analysis) is described. The article summarizes the economic effect of the implementation of this approach in employee control systems.
Development of a prototype of an automated control system for household devices based on the “smart home” technology
Authors: Popov A A , Yakimov S P , Satsuk M M , Artyshko A A 
Published: November 2021

Abstract
The relevance of the studied and solved problem lies, on the one hand, in the possibility of automated control of your home devices, and on the other, in the absence of unified control systems for a smart home as a project. The latter thesis implies the actual absence of such an automated control system among the existing and sold ready-made solutions, which could be expanded by the user himself, that is, by the buyer. In this regard, there is a need to improve and develop our own product in this area. This approach will allow you to combine both the creation of your own working prototype of a smart home, and your own implementation of the automated control system, which will allow each user to refine, modify and implement new devices independently in an already assembled system based on his house or apartment. This article presents the main aspects of the design and software solution used. The software implementation is performed in the JetBrains PhpStorm development environment in PHP, Apache web server, MySQL DBMS.
Data mining technologies in a distributed medical information system
Authors: Bolnokin V E , Mutin D I , Mutina E I , Vyskub V G , Kravets O Ja 
Published: November 2021

Abstract
Proposed a method for solving the problem of identifying hidden relationships in hard-to-structure data that have an implicit character is considered using information mining. Proposed decision trees, the effectiveness of which is illustrated by a specific example. The use of OLAP analysis systems on data presented using in the form of a real or virtual hypercube’s information is an effective tool for the effectiveness of the management for medical monitoring
Decision support in complex organizational systems using neural network technologies
Authors: Kindaev A Yu , Moiseev A V , Vyhristyuk E I 
Published: November 2021

Abstract
In complex organizational systems in which there is asymmetry of information, an important element of effective work is equal access to objective statistics. Because of the benefits to one of the parties in such systems, key elements of effective management and making the right decisions, it is necessary to develop independent approaches. The developed approach makes it possible to assess risks in various situations and with various interactions within the system, and also allows you to recreate the missing information for decision-making from open statistical databases. The key element of the developed approach is the use of self-organizing Kohonen neural networks, which make it possible to classify objects based on the reconstructed information. The importance of the correct grouping of system objects makes it possible to recommend a management decision with greater accuracy. The developed approach allows you to reduce uncertainty (risk), and, as a result, reduce losses and maximize profits.
An improved LogNNet classifier for IoT applications
Authors: Heidari H , Velichko A A 
Published: November 2021

Abstract
In the age of neural networks and Internet of Things (IoT), the search for new neural network architectures capable of operating on devices with limited computing power and small memory size is becoming an urgent agenda. Designing suitable algorithms for IoT applications is an important task. The paper proposes a feed forward LogNNet neural network, which uses a semi-linear Henon type discrete chaotic map to classify MNIST-10 dataset. The model is composed of reservoir part and trainable classifier. The aim of the reservoir part is transforming the inputs to maximize the classification accuracy using a special matrix filing method and a time series generated by the chaotic map. The parameters of the chaotic map are optimized using particle swarm optimization with random immigrants. As a result, the proposed LogNNet/Henon classifier has higher accuracy and the same RAM usage, compared to the original version of LogNNet, and offers promising opportunities for implementation in IoT devices. In addition, a direct relation between the value of entropy and accuracy of the classification is demonstrated.
Principles of securing RESTful API web services developed with python frameworks
Authors: Kornienko D V , Mishina S V , Shcherbatykh S V , Melnikov M O 
Published: November 2021

Abstract
This article discusses the key points of developing a secure RESTful web service API for keeping a student achievement journal. The relevance of using web services has been analyzed. The classification of web applications is given. The features of the Single Page Application architecture were considered. Comparative characteristics of architectural styles of application programming interfaces are given. Requirements to be met by RESTful API services are considered. The basic principles of API security were analyzed. A list of the main vulnerabilities that may appear during the development of the REST API is given. An overview of popular authentication schemes (methods) is given. Comparative characteristics of web frameworks of the Python programming language are given. The main tools used in the development of web API applications are listed. The process of creating a secure prototype of a RESTful web service API in Python using the Flask microframework and a tool for describing the Swagger specifications is presented. The process of configuring the application was examined in detail. The main recommendations for securing a web application, database and web server settings are listed. The key points of ensuring the protection of the developed web application are considered. The results obtained were analyzed.
Agents’ ontologies negotiation in cohesive hybrid intelligent multi-agent systems
Authors: Kirikov I A , Listopad S V , Luchko A S 
Published: November 2021

Abstract
The paper proposes the model for negotiating intelligent agents’ ontologies in cohesive hybrid intelligent multi-agent systems. Intelligent agent in this study will be called relatively autonomous software entity with developed domain models and goal-setting mechanisms. When such agents have to work together within single hybrid intelligent multi-agent systems to solve some problem, the working process “go wild”, if there are significant differences between the agents’ “points of view” on the domain, goals and rules of joint work. In this regard, in order to reduce labor costs for integrating intelligent agents into a single system, the concept of cohesive hybrid intelligent multi-agent systems was proposed that implement mechanisms for negotiating goals, domain models and building a protocol for solving the problems posed. The presence of these mechanisms is especially important when building intelligent systems from intelligent agents created by various independent development teams.
New hybrid signature schemes with increasing level of resistance
Authors: Komarova A V , Menshchikov A A , Korobeynikov A G 
Published: November 2021

Abstract
Post-quantum cryptography is becoming an increasingly popular topic for research around the world. The global cryptographic community is on the verge of standardizing new post-quantum algorithms. The world’s largest organizations conduct their own research in this direction. In this article, two hybrid schemes are proposed. They are constructed on generalized methods of increasing resistance of authentication schemes. Hybrid schemes consist of a combination of two independent signature schemes, one of which is the well-known classical asymmetric electronic signature scheme and another one is post-quantum scheme. Thus, this paper suggests the combining Crystals-Dilithium scheme with Rabin scheme and Elgamal scheme respectively. The paper also provides estimates of public key and signature lengths. Conclusions are drawn about the expediency of using generalized methods of combining with such kind of schemes.
Fractional Riccati equation to model the dynamics of COVID-19 coronovirus infection
Authors: Tverdyi D A , Parovik R I 
Published: November 2021

Abstract
The article proposes a mathematical model based on the fractional Riccati equation to describe the dynamics of COVID-19 coronavirus infection in the Republic of Uzbekistan and the Russian Federation. The model fractional Riccati equation is an equation with variable coefficients and a derivative of a fractional variable order of the Gerasimov-Caputo type. The solution to the model Riccati equation is given using the modified Newton method. The obtained model curves are compared with the experimental data of COVID-19 coronavirus infection in the Republic of Uzbekistan and the Russian Federation. It is shown that with a suitable choice of parameters in the mathematical model, the calculated curves give results close to real experimental data.
Simulation of knowledge development in an innovation system based on neural network model
Authors: Soloviev V P , Rozaliev V L 
Published: November 2021

Abstract
Innovative development is impossible without the support of scientific research capable of forming fundamentally new technological approaches. The process of knowledge development cannot be fully formalized, therefore, management decisions are made in conditions of uncertainty. The models developed on the basis of self-organization are the most effective for predicting the development of knowledge in the innovation system. On the basis of the developed recurrent neural network, the analysis of the influence of the state scientific and technical policy on the formation of the strategies of the actors of the national innovation systems of the BRICS countries is carried out. The determinants of the influence of the state scientific and technical policy on the development of knowledge in the innovation system are revealed.
Quadrature method for broadband measurement of microwave path parameters
Authors: Gimpilevich Yu , Tyschuk Yu 
Published: November 2021

Abstract
A mathematical model has been developed for the procedure for broadband automatic measurement of the complex reflection coefficient and power level in the microwave path based on the quadrature measurement method. Analytical expressions are obtained for the quadrature components at the outputs of a quadrature demodulator connected with a switch to two non-directional measuring probes for the case of an unmatched microwave path. A modified system of nonlinear equations with respect to measured values was formed and solved, which allows setting zero assumptions. A block diagram of a broadband device for built-in automatic control of microwave channel parameters has been developed, which implements the developed measurement procedure and the solution of a system of measurement equations to determine the current values of the power level factor, as well as the modulus and argument of the complex reflection coefficient.
Information and analytical system for environmental monitoring of water bodies
Authors: Popov A A , Satsuk M M , Artyshko A A , Mironov D E , Nechaev N S 
Published: November 2021

Abstract
An integral part of maintaining a favorable environmental situation on our planet is the observation of its individual objects, including special attention is paid to water bodies. This is due not only to the natural human need for its consumption, but also to other aspects of the anthropogenic factor, which includes unintentional pollution of the environment with industrial and other waste. The task of increasing the effectiveness of measures aimed at the effective performance of work on the collection of water and soil samples from individual reservoirs, as well as the collection, accumulation and processing of data on reservoirs through the introduction of a system of environmental monitoring of water bodies is being solved. Such a system will speed up the work of environmental organizations, and also contributes to the formation of a brief set of recommendations for restoration measures and will give an overall assessment of the ecological state of the reservoir. The purpose of this work is to automate the process of accounting and processing information about the results of laboratory studies of various types of samples and tests on the basis of the performed cycle of calculations to form estimates and recommendations on the ecological state of the reservoir and to make final reports.
Analysis of the operational readiness of telecommunication networks
Authors: Pirkhavka A P , Legkiy N M , Kartsan I N , Zhukov A O 
Published: November 2021

Abstract
The article discusses telecommunication communication networks of various topologies. The definition of the operational readiness coefficient is given. The analysis of various networks of different topologies for the reliability of information transmission is carried out. Comparison of the reliability of the ring and radial topologies in terms of the operational availability factor is carried out.
Method for fast classification of MNIST digits on Arduino UNO board using LogNNet and linear congruential generator
Authors: Izotov Y A , Velichko A A , Boriskov P P 
Published: November 2021

Abstract
The paper presents a method for forming a reservoir of a neural network LogNNet using a linear congruent pseudo-random number generator. This method made it possible to reduce the MNIST handwritten digit recognition time on the low-memory Arduino Uno board to 0.28 s for the LogNNet 784:20:10 configurations, with a classification accuracy of ~ 82%. It was found that the computations with integers gives an increase in the speed of the algorithm by more than 2 times in comparison with the algorithm using the real type when generating a chaotic time series. The developed method can be used to accelerate the calculations of edge devices in the field of “Internet of Things”, for example, for mobile medical devices, autonomous vehicle control systems and bionic suit control.