bluuebunny/crossref_metadata_2025_split huggingface dataset:
On longitudinal and transversal diffusion of carbon nanotubes
Authors: Rudyak V , Belkin A 
Published: December 2021

Abstract
In this work, the anisotropy of diffusion of carbon nanotubes in water was studied by the molecular dynamics method. Two models of nanotubes were used, their lengths varied from 4 to 31 nanometers. The first model is a nanotube with armchair chirality, the second is connected solid nanoscale rods. The behavior of various components of the velocity autocorrelation function of the nanotubes center of mass has been studied. It was established that the transverse component of this function has a negative region and a minimum point, in contrast to the average autocorrelation function, which decays monotonically. It is shown that the diffusion coefficients in the longitudinal and transverse directions can differ several times; the method proposed in this work was used to determine them. The effect of anisotropy increases with an increase in the ratio of the characteristic sizes of the nanotube. Using the Stokes - Einstein formula, the effective hydrodynamic radii of nanotubes have been determined. In all cases, the effective radius is significantly less than the tube length.
Monitoring the oxygen removal process at the final stage of melting steel
Authors: Berdiyarov B , Khojiev Sh , Nuraliyev O , Mirsaotov B , Mirsaotov S , Osmanov Z 
Published: December 2021

Abstract
This article deals with removing oxygen at the final stage of steel smelting in arc steel-making furnaces. It is shown that the remaining oxygen during crystallization forms floccules and significantly reduces the quality of the finished metal. During the subsequent metal processing by pressure on these floccules, the metal is torn apart and makes it impossible to obtain a steel sheet. Deoxidation is performed with expensive ferroalloys, and their consumption must be minimized. To achieve economic efficiency, it has been proposed to use recycled aluminum slag as a relatively inexpensive local deoxidizer. To optimize the deoxidizer consumption, a rapid analysis method was developed using the electromotive force (EMF) determination to determine the oxygen activity in liquid steel. As a result of the study, the composition, structure, and technological parameters of deoxidized steel were determined. The use of this technology in production will make it possible to obtain high-quality steel and improve environmental protection through secondary aluminum waste.
Cylinder sleeve of the internal combustion engine. Mathematical model of the deformation process
Authors: Gubin E , Andriushchenko S , Mochalin K 
Published: December 2021

Abstract
During the operation of internal combustion engines, deformation of the cylinder sleeve is possible, which causes its premature wear during the operation of the “piston ring – sleeve” pair. Imagine the sleeve as a two-stage hollow cylinder with forces applied to it, which cause deflection in the section. It can be assumed that if the greatest deformation of the cylinder is in the section of the application of forces, then with distance from this place it will decrease. At some distance from the point of application of forces, the deflection of the sleeve will be equal to zero. It is required to simulate a mathematical formula that would make it possible to evaluate the possibility of estimating the value depending on the basic geometric dimensions of the cylinder sleeve. A mathematical model of the deformation process of a hollow two-stage sleeve of an internal combustion engine has been developed, an analytical dependence has been obtained for the value of the “neutral” section depending on the main geometrical dimensions of the cylinder sleeve of the engine, a rather extensive analysis of the influence of various parameters on the value of the “neutral” section has been carried out.
Investigation of the characteristics of a marine diesel engine when running on fuel with a water additive
Authors: Andriushchenko S , Titov S , Yur G 
Published: December 2021

Abstract
Currently, environmental specifications of marine diesel engines become more stringent. There are two well-known and popular ways to improve engine environmental performance: the internal method is based on operation process improvement, as well as on the use of various fuel additives or air supply to the diesel cylinder. Another method is external (gas purification using catalysts and filters). The article considers one of these possible ways of reducing nitrogen oxides in marine diesel engines by using a water agent in fuel with various water phase dispersion degrees. The high-speed characteristics of the ship engine operation under various modes using “L” brand diesel fuel and emulsions are given. Studies have shown that when converting diesel from pure fuel to a microheterogenous emulsion (water inclusions’ diameter 5-10 microns), the concentration of NOx decreased by 1.4 times, fuel consumption increased by (4-5) g/(kWh), with an increase in the maximum combustion pressure by 0.7 MPa. The tests have confirmed the effectiveness of using a microheterogenous emulsion to reduce nitrogen oxide emissions.
Exploring the impact of similarity index on the accuracy of a phishing site detection model using machine learning
Authors: Danko O S , Medvedeva T A 
Published: December 2021

Abstract
In this paper, the problem of phishing site detection using machine learning is discussed. The main goal is to study the effectiveness of various binary classification models when extracting only lexical features from a URL. Special attention has been given to the analysis of features obtained from the domain by calculating the similarity index using the whitelist. After training and testing the models, accuracy metrics were calculated and the results were compared. The lexical features that have the greatest weight for the classification of URLs are highlighted, and the advantages and disadvantages of this approach are described.
Using the QR code as a means of automating the process of accounting for attendance at educational classes
Authors: Stupina M V , Anistratenko K V , Pazina L O 
Published: December 2021

Abstract
Nowadays, the technology of QR codes is one of the promising areas of development of the IT industry, which has found application in various industries, business areas, medicine, etc. In the field of education, QR codes are used to increase the interactivity of classes, provide additional multimedia content, conduct surveys and other control activities. This work presents the key features of QR codes, their architecture and main components. The use of QR codes in automating the process of accounting for students’ attendance is considered. A web application has been developed for teachers, the interface of which allows them to generate QR codes for academic disciplines. A mobile application with an integrated QR-code scanner was developed for students. All attendance data is recorded in the teacher’s electronic attendance register. A conceptual data model of the system is presented, as well as the main algorithms of its operation related to the generation and scanning of QR codes. The practice of using the developed system demonstrates the effectiveness of monitoring attendance data by promptly entering it into an electronic journal.
Application three-valued logic in symmetric block encryption algorithms
Authors: Abdullaev T R , Juraev G U 
Published: December 2021

Abstract
The issues of limiting the use of binary logic for the further development of science engineering are discussed. The effectiveness of the use of the ternary number system at this stage in the development of information technologies is substantiated and shown. A method is proposed for increasing the informational entropy of plaintext by adding random data using ternary logic in the process of symmetric encryption. To reliably hide the added random data, the first transforming function is proposed to choose gamming with a key.
Multiplicative knapsack injectivity as condition of effective unauthorized access protection
Authors: Osipyan V O , Zhuk A S , Lukashchik E P , Litvinov K I , Kh Bagdasaryan R 
Published: December 2021

Abstract
The mathematical modelling of data protection systems based on multiplicative knapsack is considered. In particular, development of cryptographic solution to hierarchic access control problem is represented. Previously in research the authors has formulated the requirements to knapsack in order to apply these to a hierarchic access control problem based on the requirements for similar models. Here in the article the possibility of practical implementation of the construction of such knapsacks is pointed. Based on special mathematical model for multiplicative knapsacks generalized sufficient condition of multiplicative knapsack injectivity is formulated and proved in the article. Known sufficient conditions of multiplicative knapsack injectivity are special cases of authors condition. The mathematical apparatus of additive knapsacks for building multiplicative vector is shown.
Virus signature detection algorithm
Authors: Zemlyanaya D , Boldyrikhin N , Svizhenko A , Yukhnov B 
Published: December 2021

Abstract
The purpose of this research is to develop an algorithm for finding virus signatures. The method of searching for virus signatures was analyzed to achieve this goal. A brief description of the Boyer-Moore algorithm was also considered. The result of the research is a new algorithm that optimizes the speed of finding virus signatures by scanning the beginning and end of the file, since these are common cases where viruses are located. The practical significance of this research lies in the development of an algorithm for finding virus signatures, which reduces the risk of infection of the operating system with viruses and provides the ability to quickly detect malware.
Identification algorithm for telecommunication systems with uncertain parameters of their vector of state stochastic model
Authors: Chub E G , Pogorelov V A 
Published: December 2021

Abstract
The described method of structure identification of the state vector of a telecommunication system stochastic model is based on a posteriori probability density approximation (APDA) by a system of a posteriori moments. An assumption of possible APDA approximation by a class of Pearson distributions resulted in a closed system of moment equations. Implementation of optimal non-linear stochastic object control techniques helped to solve the problem of structural identification. Introduction of the proposed approach into contemporary telecommunication systems will not impose additional requirements on the calculating equipment, thus making this method well-suited for a wide range of applications.
Investigation of the Application of Software Generator of the Speech–Like Interference to Protect Acoustic Information from Leakage through an Acoustic Channel
Authors: Korochentsev D A , Cherckesova L V , Revyakina E A , Goncharov R A 
Published: December 2021

Abstract
This work is aimed at developing a software tool for generating speech-like interference, which allows you to hide protected information from persons who do not have access to it. In the course of the work, the analysis of acoustic channels of information leakage was carried out, the choice of the stack of technologies used in the development of the software tool was justified. The developed software was tested with various types of speech-like interference, during which the type of interference used to protect information was determined.
Verification of the gauss’s law with the unknown parameters by the Kolmogorov criterion in the problems of railways electric supply
Authors: Lindenbaum T M , Ignatieva O V 
Published: December 2021

Abstract
Traction currents and voltages in the overhead railroad contact line hypothetically obey the Gauss’s distribution law. An algorithm for statistical modeling of the Kolmogorov distribution for the unknown values of the Gaussian law parameters has been developed. For a large number of the modeling program implementations, it has been shown that testing the hypothesis about the distribution law without taking into account the number of unknown parameters leads to an unacceptable increase in the criterion significance and a decrease in its power. The distribution of the Kolmogorov criterion is calculated with sufficient accuracy for two unknown parameters, which allows its wide practical use.
Intellectualization of the assessment of the development of information and communication means of data processing
Authors: Bochkov A P , Kuranova O N 
Published: December 2021

Abstract
Given the weak formalization and insufficient information support in the early stages of data processing tools development in information and communication technologies, the use of intellectualization mechanisms and the creativity of the researcher is highly relevant. Mathematical models, decision support systems are actively used to introduce intellectualization into the process of modeling development prospects itself through the use of fuzzy set models, fuzzy logic, opportunity theory and other disciplines focused on unlocking the intellectual, creative potential of the developer. With this in mind, the paper aims to develop a decision support system scheme to evaluate the development of data processing tools in information and communication technologies by activating the researcher’s intellectual capabilities through the use of his fuzzy reasoning, fuzzy structural modeling of development motives, visualization and schematization of the successive development of data processing tools. In the process of developing such a decision support scheme, a procedure for calculating the coefficient reflecting the ability of the considered variant of the appearance of data processing tools to further improvement was obtained. A system of membership functions is proposed, which is used to determine the influence of development motives on the qualitative characteristics of the ability of prospective data processing tools to further improvement. Specific examples are given to illustrate the developed methodological apparatus, in which the spacecraft of the Earth remote sensing system is selected as a data processing tool.
Modern Hash Collision CyberAttacks and Methods of Their Detection and Neutralization
Authors: Safaryan Olga , Cherckesova Larissa , Lyashenko Nikita , Razumov Pavel , Chumakov Vladislav , Akishin Boris , Lobodenko Andrey 
Published: December 2021

Abstract
This article discusses the issues related to the possibility of realization of collision cyberattacks (based on hash collisions). Since post–quantum cryptography has become relevant, classical cryptosystems do not provide the sufficient resistance to the modern quantum cyberattacks. Systems based on outdated hashing algorithms become vulnerable to cyberattacks with hash collision. As replacement for unreliable algorithms, such as various modifications of MD5 and SHA–1, new algorithms have been created, for example, SHA–3 standard based on the Keccak function and AES–based hashing. This article discusses modern collision cyberattacks and possible methods of their detection. Because of this study, theoretical description of cyberattacks with hash collision was considered; modern cyberattacks on hash collisions and possible ways of detecting and countering them (weak hash detection) are described; software tool that detects vulnerable and unreliable hash is implemented; software testing is carried out. Based on the conducted research, it can be concluded that the main advantages of implementing software tool are effective detection of vulnerable hash, the ability to generate new hash protected from collisions, convenient and user– friendly interface, small memory requirements and small size of the program code.
Analysis of the text of the FQP for automated standard control of documents
Authors: Kozyreva A , Nazarenko U , Berezhkov A , Nasyrov N 
Published: December 2021

Abstract
This publication focuses on underdevelopment the possibilities of machine learn-ing to help students prepare their final qualifying paper. Purpose of the study: present the possibilities of machine learning for processing final qualifying paper texts and checking them for compliance with the requirements. The article shows the possibilities of distributing work by topic, which can help students in finding materials on their topic and algorithms for extracting and analyzing text in Rus-sian for further analysis. The research is carried out on the basis of the CRISP DM methodology and describes in detail all the necessary research steps. The pa-per shows the process of extracting text from pdf and docx files; the necessary methods of text preprocessing for further analysis; and demonstrates the capabili-ties of machine learning algorithms using the example of LDA analysis.
Situational analysis model in an intelligent system based on multi-agent neurocognitive architectures
Authors: Nagoev Z , Pshenokova I , Nagoeva O , Kankulov S 
Published: December 2021

Abstract
An approach to the development of intelligent decision-making and control systems based on the hypothesis of the organization of neural activity of the brain in the process of performing cognitive functions is proposed. This approach, based on intelligent software agents with a developed cognitive architecture, is able to provide the process of extracting knowledge from an unstructured data flow, generalizing the knowledge and learning gained, to implement effective methods of synthesizing behavior aimed at solving various problems. A multi-agent model of situational analysis based on self-organization of distributed recursive neurocognitive architectures is presented. In particular, the basic principles of situational analysis based on multi-agent neurocognitive architectures are formulated and an algorithm for the preventive synthesis of the behavior of an intelligent agent aimed at avoiding negative situations for itself is developed. The performed computational experiment showed that on the basis of training the neurocognitive architecture by forming new agents-neurons and connections between them, a complex logical function of behavior control (in particular, situational analysis) develops (forms). The results of this study can be used to create intelligent decision-making and control systems for autonomous robots and robotic systems for various purposes.
A fully homomorphism encryption scheme based on LWR
Authors: Zhang Qixin 
Published: December 2021

Abstract
We believe that isomorphic encryption technology can provide strong technical support for users’ privacy protection in a distributed computing environment. There are three types of quasi-homomorphism encryption methods: partial homomorphism encryption, shallow homomorphism encryption, and full homomorphism encryption. homomorphism encryption methods have important applications for ciphertext data computing in distributed computing environments, such as secure cloud computing, fee computing, and remote file storage ciphertext retrieval. It is pointed out that the construction of the homomorphism encryption method is still in the theoretical stage and cannot be used for real high-density data calculation problems. How to design (natural) isomorphic encryption schemes according to algebraic systems is still a challenging research. This question discusses the problem of Learning With Rounding (LWR). Based on the difficulty of LWR, multiple IDs, and attribute categories, a fully homomorphism encryption method corresponding to an ID is proposed. In this paper, in order to reflect the effectiveness of the proposed method, we propose a homomorphism encryption technology based on the password search attribute.
Application loader in the RW. Ring platform
Authors: Medvedev S , Terleev V , Kashintseva V , Surinsky D 
Published: December 2021

Abstract
When developing decision support systems in agriculture, the task often arises of creating applications that include a large number of different components. These components can have dependencies on each other, so you need to load them in the correct order. This boils down to solving the classic topological sorting problem. However, in addition to the purely algorithmic part, the loader must correctly interact with the environment, which poses a large number of other technology-specific tasks for its developer. These are the tasks of obtaining and storing information about dependencies, ensuring that components are loaded in the user interface thread where necessary, as well as ensuring the most responsive program behavior so that loading an application does not annoy the user, as well as ensuring the extensibility of the decision support system without recompiling. This work is devoted to the description of the solution of these problems in the RW.Ring platform based on the .NET technological stack and intended for the development of such software systems.
On the development of a virtual test bench to assess sound absorption of materials in an alpha chamber
Authors: Cvetkov P , Leontiev V , Busko I 
Published: December 2021

Abstract
A description is given of a virtual test-bench (VTB) designed by engineering center of Peter the Great St. Petersburg Polytechnic University to calculate a sound absorption coefficient of various materials. Developed VTB differs from known programs in that it allows a sound absorption coefficient of various materials to be determined with minimum involvement of an engineer. This VTB differs from other programs also by using infinite elements jointly with finite elements, which increases adequacy of the discrete model being used, and also the configuration of the boundary of an alpha chamber being used. The known programs use various phenomenological mathematical models of porous materials such as Johnson-Champoux-Allard (JCA) model. The VTB is based on fundamental mathematical models and statistical energy analysis (SEA) that allow describing adequately the established or transitional processes of sound absorption and reflection by a porous material the properties of which are not homogenized. The value of this VTB, which is created on the basis of a VA One software complex supplemented by a set of files of boundary conditions, files of solvers’ settings, secondary finite element (FE) models, is that VTB allows standardized calculations to be performed to determine the sound absorption coefficient of a material with minimum involvement of an engineer and the obtained result to be submitted for detailed processing. Developed virtual test-bench enables determination of a sound absorption coefficient for various materials within the entire finite frequency range. The result of the calculation is displayed as a graph of dependency of the material sound absorption coefficient on frequency.
Poisson processes directed by subordinators, stuttering poisson and pseudo-poisson processes, with applications to actuarial mathematics
Authors: Rusakov O , Yakubovich Yu 
Published: December 2021

Abstract
Weconsider a PSI-process, that is a sequence of random variables (&), i = 0.1,…, which is subordinated by a continuous-time non-decreasing integer-valued process N(t): <K0 = ÇN(ty Our main example is when /V(t) itself is obtained as a subordination of the standard Poisson process 77(s) by a non-decreasing Lévy process S(t): N(t) = 77(S(t)).The values (&)one interprets as random claims, while their accumulated intensity S(t) is itself random. We show that in this case the process 7V(t) is a compound Poisson process of the stuttering type and its rate depends just on the value of theLaplace exponent of S(t) at 1. Under the assumption that the driven sequence (&) consists of i.i.d. random variables with finite variance we calculate a correlation function of the constructed PSI-process. Finally, we show that properly rescaled sums of such processes converge to the Ornstein-Uhlenbeck process in the Skorokhod space. We suppose that the results stated in the paper mightbe interesting for theorists and practitioners in insurance, in particular, for solution of reinsurance tasks.