bluuebunny/crossref_metadata_2025_split huggingface dataset:
Computational model “herd of herbivores & flock of predators” in scope of global optimization problem
Authors: Rodzin Sergey , Rodzina Lada , Rodzina Olga 
Published: December 2022

Abstract
The article proposes a coevolutionary computational model “a herd of herbivores – a flock of predators”. The selfish behavior of individuals of a herd of herbivores being attacked by a pack of predators is modeled. Attractive operators of patterns of individual and collective behavior of agents, as well as mechanisms of population selection, are considered. The results of a series of experiments with the model “herd of herbivores – a flock of predators” for the problems of finding a global minimum in known test functions are presented, as well as a nonparametric proof of the statistical significance of the results obtained using the Wilcoxon signed-rank test.
Mathematical methods for evaluating the performance of microcontrollers for automation of production in mechanical engineering
Authors: Shamlitskiy Yaroslav I , Popov Anatoly A , Rogova Daria V , Saidov Nazar V , Yu Efimov Alexey 
Published: December 2022

Abstract
This paper examines the influence of microprocessor technology on the current situation in the machine-building industry, and also provides evidence of the high efficiency of the use of microcontrollers (MSU) in mechanical engineering. A comparative analysis of existing microcontroller families on the market is carried out, where the distinctive features of each family and their applicability in the modern realities of mechanical engineering are presented.
Combining Euler series and series from continuations of the Bernoulli scheme
Authors: Afanasyev Vladimir V , Solovyeva Alla A 
Published: December 2022

Abstract
This article describes a new approach to constructing numerical series which converge to an irrational number, a two series combination being proposed. The first series is constructed from the probabilistic interpretation of summing numerical series, which is the authors’ continuation of the Bernoulli scheme. Our ideas are based on the rejection of finiteness and independence of trails. A probabilistic urn model allows us to get a convergent numerical series as well as a series coinciding with the elements of Leibniz harmonic triangle diagonals. The second series used in the considered approach is presented by different Euler series which are extensions of the Basel problem. The combination of two numerical series makes it possible to sum unknown numerical series in closed form. A new reading of the Leibniz harmonic triangle and Euler series variations as well as an approach to finding probabilistic urn models of the summing series are proposed. It is symbolic that the paper considers the ways of connecting the “Basel series” and the series obtained from the continuation of the Bernoulli scheme taking into account that Jacob and Johann Bernoulli worked at the University of Basel. The adoption of the method of combining two numerical series enables to obtain results which have not been previously published in scientific literature.
Acousto-optical modulation of airy light beams in crystals
Authors: Kulakov Sergey V , Kulak Gennady V , Shakin Oleg V 
Published: December 2022

Abstract
The non-collinear diffraction of Airy light beams on ultrasound in the regime of weak and strong acousto-optical (AO) interaction is investigated. Expressions are obtained for the complex amplitudes of diffracted waves in the general case of an anisotropic medium. It is shown that with an increase in the dimensionless parameter of the Airy beam, the efficiency of Bragg diffraction decreases. At the same time, however, the shape of the modulation curve remains unchanged. It is established that the greatest efficiency of anisotropic Bragg diffraction is achieved for a case when the diffracted Airy beam propagates along the front of the ultrasonic wave. It is shown that the efficiency of AO diffraction of Airy beam on an amplitude-modulated wave is determined by the diffraction efficiencies of constant components in a diffracted beam.
Cosserat’s theory for quality assessment processes for filamentary additive manufacturing products
Authors: Chabanenko Aleksandr , Kurlov Victor 
Published: December 2022

Abstract
Computer modeling of the behavior of materials is very important for the development of additive technologies at the present stage. This article is devoted to a review of models that can and should be used for numerical modeling of material deformation as applied to additive technologies in the process of layer-by-layer synthesis, as well as an exposition of the Cosserat elastoplastic model, the rationale for its application for modeling plastic deformation in structurally inhomogeneous materials such as polymers for additive manufacturing.
Investigation of the microstructure evolution during the broaching in step-wedge strikers by computer modeling in the deform software package
Authors: Volokitin Andrey , Naizabekov Abdrakhman , Panin Evgeniy , Tolkushkin Andrey 
Published: December 2022

Abstract
In this work the forging process in step-wedge strikers by commercial FE-code Deform was simulated. For microstructure evolution the Cellular Automata method was used. The influence of technological and geometric parameters of the forging process on the microstructure evolution was studied. Models with different values of the joint angle of the wedge and depression faces, the friction coefficient at the contact of workpiece and tool, the upper striker movement speed and the workpiece temperature were considered. As a result, the following optimal geometric and technological parameters were determined: the junction angle of wedge and depression faces is 160°; the friction coefficient is 0.7; the upper striker movement speed is 1 mm/s; the workpiece heating temperature is 1000°C.
Comparison of the probabilistic model of a fuzzy Bayesian classifier and the Gaussian mixture problem
Authors: Pevneva Anna , Pivovarova Inna 
Published: December 2022

Abstract
The article shows that the problem of fuzzy classification and the problem of separation of Gaussian mixtures have different theoretical solution models based on the results of the classical probability theory. A probabilistic model of the clustering and classification process based on the Bayesian approach is the joint distribution of multidimensional data points across clusters and cluster prototypes. The model is built for datasets with a normal distribution. Unknown membership values for each data point are assumed to be a random variable with some empirical distribution. The cluster prototype is also assumed to be a normally distributed random variable. The model is compared with the Gaussian mixture separation model and the main difference between them is highlighted: in the Bayesian fuzzy classification model, the product of all component probabilities is used, which means taking into account the possibility of the xn
value falling into different clusters. The computational algorithm of this model may have a wider application compared to the traditional fuzzy c-means approach, due to the lack of restrictions on clustering parameters. Some numerical results are presented that confirm the model’s operability for an artificial data set both with parameters within the traditional limitations of the c-means method and for an extended range of parameter values.
Digital processing of satellite images using neural network algorithms
Authors: Kochanov Andrey , Zolotukhin Vyacheslav , Mironenko Vladislav , Savelyeva Anastasia , Polyakova Anastasia 
Published: December 2022

Abstract
The article discusses the system, the basis of which can be divided into two parts, hardware and software. The hardware part is a single-board computer and software using, which includes the use of neural network algorithms. This system is able to extract the necessary information from the photo and/or video frame specified by the parameters when receiving images from the satellite. This possibility is relevant, because at the moment the trend is that large enterprises want to have at least a few small spacecraft on their account and in this regard they face a number of problems associated with limited mass and size of payload devices. Due to these certain limitations, the processing of satellite frames takes place on Earth, and not on the device itself. Image processing on the spacecraft makes it possible to send only individual fragments of data and not clog the transmission channel, which saves traffic and time. Also, it makes it possible to process data on the spacecraft itself 24/7. This becomes possible thanks to the Python programming language and the trained convolutional neural network. The neural network is connected through the free library TensorFlow. The purpose of this work is to describe the features for solving the problem of classification of objects (pattern recognition).
Calculation algorithm for non-stationary pumping of liquid foodstuffs by a centrifugal pump with an open impeller
Authors: Akhmedova N A , Levicheva O I , Naumov V A 
Published: December 2022

Abstract
The mathematical model of pumping liquid foodstuffs by a centrifugal pump with an open impeller was proposed in this article. The liquid levels difference in the initial and final tank changes during pumping. Therefore, the pumping process is non-stationary with a slowly changing fluid flow rate. The mathematical model includes two differential equations: the balance of the pumped liquid and the dynamics of the fluid flow in the pipeline. The operating characteristics of the centrifugal pump were approximated by second-order polynomials according to the test data of the manufacturers of this equipment. The need to take into account the influence of fluid viscosity on the pump performance is shown in the article. The pump pressure is noticeably reduced, and the power consumed increases for concentrated apple juice compared to pumping water. The system of differential equations with corresponding boundary conditions was solved numerically. The flow rate very quickly reaches a value corresponding to the difference in levels at the beginning of pumping. Therefore, the problem can be solved in a quasi-stationary approximation. The change in fluid flow over time is close to linear. Therefore, it is possible to find the pumping time of a given volume by an approximate method. The approximate calculation algorithm has been proposed. It was used to calculate the pumping of a concentrated apple juice. The effect of changes in the diameter and length of the pipeline on the performance and energy efficiency of the pumping unit has been investigated.
Parameters of contact lines of rolls
Authors: Turgunov K K , Annaev N U , Khurramov Sh I 
Published: December 2022

Abstract
The article defines the parameters of the contact lines of the rolls. Calculation formulas are found for determining such parameters as the ratio of strain rates in roll pairs when the deformation of the semi-finished leather product and the coating of are given by rheological models. It was revealed that the forms of contact lines in roll pairs do not depend on the methods of specifying the deformation of the leather material and the coating of the rolls.
The development of logic-probabilistic reliability model of the main electrical scheme
Authors: Kovalenko I V , Krivenko T V , Tremiasov V A , Bobrov A V 
Published: December 2022

Abstract
The issues of construction and analysis of the topological model in reliability analysis of main electric schemes connections in power plants and substations are considered in this article. The multi-matrix method for reliability analysis is proposed in this article for different electric schemes: two operating systems of built-up wires and one bypass system of built-up wires; two operating systems of built-up wires; one operating system of built-up wires and one bypass system of built-up wires by the obtaining multi-states. The main conclusions were made on the further direction of research.
Evaluation of the impact of measures to increase the energy efficiency of the technological process of the enterprise to the level of energy expenses in its ideal analogue
Authors: Dergachev D V , Morozov I N , Sheiko E M 
Published: December 2022

Abstract
The article proposes the results of assessing the impact of measures to increase the energy efficiency of the technological process to predict the ideal analogue of the enterprise. The model of an ideal analogue of an enterprise in the form of graphs asymptotically approaching the limit is considered. The conclusion gives the results of the energy saving policy and appropriate conclusions.
Prospective methods for recognizing the state of a metal-cutting tool
Authors: Tikhomirov G V , Barbashov N N , Samoilova M V 
Published: December 2022

Abstract
For the manufacture of high-precision parts for aviation and space technology, it is necessary to achieve high-quality work of metal-cutting machines. The accuracy of processing and the quality of the treated surface directly depends on the properties of the tool, as well as its wear. A number of devices and techniques for controlling cutting tools are known. However, many of them are not effective enough for precision machining on automated machines. For timely detection of defects and prevention of catastrophic wear of the cutting edge of the tool, recognition methods are necessary to ensure high quality control. The paper considers an algorithm for monitoring the condition of incisors, which makes it possible to increase the efficiency of active control on modern machines.
Kinematic analysis of the axle box unit operation
Authors: Mashtakov Alexander P , Khakimzyanov Rustam R , Mickiewicz Vadim G 
Published: December 2022

Abstract
The axle load acts on the box unit and has shock-pulse nature when the car is moving, that can lead to a mutual change in the surface positions of the roller ends with the edges of the bearing races. The ways are proposed to optimize the internal geometry of the radial and end contact elements of the roller bearing of the axle box unit. It is proposed to eliminate the occurrence of possible conditions that lead to the movement of bearing rollers into the thrust and locking of bearing rollers by increasing the minimum limit in the axle clearance of the axle box.
Application of matrices for transfer function values calculation in mechanical systems
Authors: Ershov D Y , Lukyanenko I N , Aman E E 
Published: December 2022

Abstract
The paper describes the formalism and methodology that can be employed for calculation of transfer function in distributed parameter elastic mechanical systems. Generalized formalism for derivation of transfer function matrices is presented as developed in accordance with the Hilbert-Schmidt theorem. Matrix-based method to determine elastic mechanical system transfer function is offered. The solution of the problem of forced harmonic oscillations of an elastic body of a mechanical system with the presence of friction is considered. The described technique can be applied to find the transfer functions of technological equipment in order to determine the dynamic characteristics of the system.
Optimization of identification of micro-objects with error control and statistical image filtering mechanisms
Authors: Jumanov Isroil I , Kholmonov Sunatillo M 
Published: December 2022

Abstract
Scientific and methodological foundations have been developed for the optimal identification of non-stationary objects transmitted by random time series in control systems of industrial and technological complexes, monitoring of environmental protection and ecology, palynology, medicine based on the use of statistical, dynamic, neural network models and mechanisms for extracting statistical, dynamic specific characteristics of information. The mechanisms for controlling the error in the identification of RTS, based on the use of statistical criteria - the rules of the sequential analysis, Bayesian estimation, ±3σ, confidence interval, have been investigated. The problem of control of the error in the identification of RTS by the confidence interval, the mechanisms of threshold control of the values of the random time series elements, their increments, the error of prediction by statistical, trend, dynamic models, algebraic polynomials, parabolic, cubic interpolation, extrapolation spline functions. Mechanisms for regulating the variables of the random time series identification models based on autoregressive, adaptive smoothing by R. Brown, Newton, Lagrange polynomials, orthogonal algebraic polynomials of 3, 5, 7 orders have been developed. The methodology for assessing the quality of the identification of RTS by mathematical expectation and variance and the criterion of correspondence between the relations of mathematical expectation and variance of two consecutive elements have been implemented. The experimental study was carried out according to the real data of the power grid enterprise. The effectiveness of the implemented mechanisms was studied according to the criteria of the minimum root-mean-square error, labor intensity, cost of information processing.
Reducing the impact of wind load on the operation of information-measuring and control systems of tricopters
Authors: Sleptsov V V , Ablaeva A E , Kanaev S A , Moskalenko O V 
Published: December 2022

Abstract
The article deals with the issues of reducing the influence of wind load on the information-measuring and control systems of tricopters. A feature of the work is the development of a general mathematical model of a tricopter, taking into account the specific characteristics of the elements: adjustable electric drives, parameter sensors (barometers, accelerometers, rangefinders, etc.). The type and parameters of the controllers of tricopter coordinate control systems are determined. A variant of reducing the influence of wind load on the information-measuring and control systems of tricopters by organizing control loops for the speeds of electric motors is considered.
A simulation model for a compounding process for commercial gasolines
Authors: Golovina E S , Khaimovich I N 
Published: December 2022

Abstract
Compounding commercial fuels is an important final stage of the entire production process chain in an oil refinery which defines the economic effectiveness of the company’s manufacturing activities. This paper addresses a simulation model for the compounding process for commercial gasolines. The Model is based on discrete linear programming. The target function for the optimization model is the ratio of the difference between the value of the salable product and the costs incurred by manufacturing components and electrical power to the final volume of the salable product, as well as the time it takes to prepare. The optimization model leads to the conclusion about the practicability of the in-flow blending, as well as of the necessity of selecting the right pumping equipment. The optimization model can be applied to primary calculations of economic effectiveness of the various options of organizing the process for the compounding of commercial gasolines.
Modification as a method of aircraft design
Authors: Yu Kuprikov Mikhail , Kuprikov Nikita 
Published: December 2022

Abstract
To optimize the expenditure of time and material resources, the Method of modifications is used. Modular design of a family of modifications allows combining complexes of components to expand the transport capabilities of aircraft, meet the requirements of air transport more accurately, maximize unification, create a range of aircraft. The modification method makes it possible to reduce time and material resources in solving aircraft design problems. And the principle of decomposition makes it possible to identify independent units and systems from which new aircraft modifications can be assembled. Models are formalized. Software and information support is developed on their basis.
Methodology for finding the virtual center of mass of the aircraft
Authors: Yu Kuprikov Mikhail , Kuprikov Nikita 
Published: December 2022

Abstract
There are types of aircraft for which the geometric shapes are primarily due to “hard” infrastructural constraints. The secondary nature of aerodynamic requirements makes it possible to deviate from the traditional design task. And move on to the Inverse Design Problem. A solution that allows you to reduce the number of design iterations and narrow the search for a rational solution in the Pareto-optimal area. These aircraft include vertical takeoff and landing aircraft. After analyzing the characteristics of moment-inertia units obtained after an analytical experiment, it shows that the introduction of a virtual center of mass makes it possible to reduce the radius of action of the inertial forces of the aircraft. A sequence of absolute advantages in terms of the moment of inertia of the nodes has been obtained, for example, a more optimal location of the target load, fuel tanks and power plant, which provides an advantage in the mass of the aircraft up to 7-8%, only due to the rational moment of inertia of the layout relative to the virtual center of mass. In an aircraft, the moment of inertia depends to the fifth power on the change in its linear size
The concept of using additive technologies for digital prototyping of assembly devices
Authors: Vlasov A I , Juravleva L V , Ismagilov K 
Published: December 2022

Abstract
The article discusses the main provisions of the concept of using additive technologies for digital prototyping of assembly devices in the production of electronic equipment. Approaches to the system design of devices and their components are formulated. General ideas about devices are generalized and systematized, types of fixtures for assembling electronic equipment are classified. A comparative analysis of the methods of classical and model-oriented (drawing-free) design is carried out. Recommendations on the use of additive technologies in the implementation of ‘trial and error’ design methods, the coordinate calculation method, wave technology, design using layout schemes and virtual assembly are given. The tasks that are solved in the process of designing and manufacturing devices in the production of electronic equipment are determined. Recommendations for modeling, simulation and prototyping of devices for testing designs and validating technological processes in order to reduce the time of technological preparation and production are given.
Arrays of combined antennas with equal-amplitude distribution of bipolar voltage pulses
Authors: Koshelev V I , Plisko V V 
Published: December 2022

Abstract
The paper presents the comparative characteristics of the radiation pattern of the combined antenna arrays excited by a bipolar pulse and harmonic oscillations near the central frequency of the spectrum of ultrawideband radiation. Particular attention is paid to the 3x3 array radiation source with maximum efficiency.
Solving the part identification problem using their STL models
Authors: Pechenin Vadim , Pechenina Ekaterina 
Published: December 2022

Abstract
The article is aimed at solving the problem of aerospace parts identification. A neural network model for part identification was developed. The proposed model consists of three modules: object detection using the YOLO3 model, preprocessing of the selected fragment, and classification of the processed fragment using the VGG19 model. A distinctive feature of the developed model is the use of STL objects for training the VGG19 neural network. To increase the reliability of the classification for each object we used photos made from three angles. The developed model has been tested on the parts of the rotor of a small gas turbine engine. The test was conducted on 100 test cases including 300 photos of parts. To train the neural network, 13,200 images were simulated using STL models. The loss function (categorical cross-entropy) for the training sample was 0.0004, and the classification accuracy was 100%. The accuracy of identification of real photos using the developed model was 97%.