bluuebunny/crossref_metadata_2025_split huggingface dataset:
Results of formation of knife blade
Authors: Urinov N F , Saidova M H , Odinaev R S , Isamov R N 
Published: January 2020

Abstract
This work presents the results of the formation of the blade due to the intersection of microreliefs of the side surfaces, moreover, the microgeometry influenced by not only the technological parameters of the grinding, but also the physical and mechanical properties of the material, as well as the forces that arise during grinding.
Creating molecular weight distribution of butadiene rubber on neodymium-based catalytic system
Authors: Manuyko G V , Bashkirov D V , Bronskaya V V , Ignashina T V , Kharitonova O S , Aminova G A 
Published: January 2020

Abstract
The method of calculation of the molecular weight distribution (MWD) of rubber SDRN synthesized in the cascade of reactors with a continuous mixer in the presence of chain transfer to the polymer (by direct numerical solution system of equations arising from the kinetic scheme of polymerization with special selection of boundary conditions, maximum length of macromolecules and calculation step value). Numerical solution of mathematical model that is systems of differential equations for concentrations of monomer, co-catalyst and macromolecules of polymer together with thermal balance is obtained. The influence of regime parameters on MWD and molecular mass characteristics of the final product obtained using molecular weight distribution are analyzed.
Study of the working face of a flexible grinding tool
Authors: Lyukshin V S , Shatko D B , Strelnikov P A 
Published: January 2020

Abstract
The technology of grinding with a flexible abrasive tool is a rather complicated process, the characteristics of which are interconnected with the relief parameters of the surface abrasive coat of a tool. However, when forming the relief of the surface abrasive coat of a flexible grinding tool by popular methods, an unnecessary expenditure of expensive abrasive material occurs and the working face is obtained with randomly arranged abrasive grains, the processing performance of which can be assessed only taking into account some average values. As a result, some grains arbitrarily located on the surface of a tool partially or completely do not participate in the cutting process. The article is devoted to the issue of the study of the working face of a flexible grinding tool. Comparative tests of existing and developed methods for determining the number of abrasive grains on the tool face are presented. Experimental data on the influence of the angle of orientation of abrasive grains on their distribution density are presented.
On the design of deep-sea optical elements made of PMMA
Authors: Gasratova N A , Zuev V S 
Published: January 2020

Abstract
This paper considers some issues related to the design of the optical assembly of a deep-sea porthole made of polymethyl methacrylate (PMMA). The considered element is planned to be used as part of a lighting system operable at a depth of more than 5000 meters. The calculation is made without taking into account the influence of temperatures.
Thin sheet metal forming with composite material
Authors: Ikonnikov D A , Semenov I E 
Published: January 2020

Abstract
This article focuses on the results of analytical and experimental studies on the mechanical characteristics of polyurethane and composite materials developed on its basis and reinforced with aramid fabrics for their use as an elastic forming tool to manufacture various products for the aviation industry and plate heat exchanger panels made of thin sheet metal. The article presents experimental data obtained by loading polyurethane and composite materials under uniaxial compression, composes a mathematical model, and compares the results of the experiment with the theoretical dependencies obtained in solving the problem of loading the polyurethane sample via the finite element method.
Testing models of organizational and technological processes for machining based on the method of ant colonies
Authors: Chengar O V , Shevchenko V I , Kokodey T A 
Published: January 2020

Abstract
This article presents testing results for the model of organizational and technological processes in a flexible production system using the instrumental capabilities of ant algorithms for operational production scheduling. As a result of computer experiments, we have determined that implementing the proposed model allows for increasing the average load coefficient for flexible production modules that results into transport unload, thereby solving the problem of equipment idle time. Also, based on the testing data of the proposed model using the ant colonies method applied during machining tools, such as solids of revolution, for a set production plan, the possibility of reducing the number of flexible manufacturing modules at a production site without reduction of output was considered.
Technology of ionic-plasmic nitriding of teeths of disc saw of the knot of saw cylinder
Authors: Urinov Nasullo , Saidova Muhabbat , Abrorov Akbar , Kalandarov Navruz 
Published: January 2020

Abstract
The technology of obtaining a deep-nitrated layer on the teeth of disc saw of the saw cylinder for a short period of time (0.5–2 hours) and subsequent standard heat treatment is considered. The results of testing of resistant characteristics of circular saws, made of U8G steel and processed using deep nitriding technology, are presented.
Technology support for the supply of an element of the coating material during cladding with a flexible tool
Authors: Zotov A V , Semenchenko N V , Dema R R , Latypov O R 
Published: January 2020

Abstract
The article considers the issue of improving the quality of machining of engineering products when using the method of deformation cladding with a flexible (wire) tool (wire brush). The essence of this method is to combine the processes of plastic deformation from impacts of wire brush with coating for various functional purposes. The design of the feed device has been developed, which allows controlling the necessary clamping force of the coating material element (MCE) to the wire tool. The control of clamping force provides temperature stabilization in the contact between the MCE and the tool and allows to increase the uniformity of coating formation on the workpiece. The coating material is set with eccentricity relative to the axes of the brush, which makes it rotate about its axis during operation, ensuring its uniform wear. This feed device is easily dismantled, which provides a quick replacement of the MCE.
Investigation of the effect of thin films of aluminum nitride on the stone-like destruction of cast steel
Authors: Skryabin M L , Likhanov V A 
Published: January 2020

AbstractThe article deals with the features of the formation of a stone-like fracture, which is formed at an elevated temperature and enriched with partially soluble in austenite phases. They represent small particles, the film or the molten eutectic. To study the regularities of the appearance of this defect, 8 different melts were selected and micro-plates were made for further research. The study of the structure helped to identify the main components that have a destructive effect on the metal, as well as to find out which structures predominate to a greater or lesser extent for the development of microlocal deformation, provoking destruction.
Calculations of some thermo-physical properties of aluminum alloys using data of thermal analysis
Authors: Deev V B , Prihodko O G , Prusov E S , Kutsenko A I , Shunqi Mei , Aksenov A A , Bazlova T A 
Published: January 2020

Abstract
Increasing the accuracy of computer simulation of the crystallization processes of aluminum alloys and the solidification of castings requires reliable data on the thermo-physical properties of the alloys used. The present paper describes a technique for calculating the heat of crystallization and heat capacity of aluminum alloys in the range from the temperature of its pouring into the mold to the average temperature of the solidified skin according to the results of thermal analysis. The proposed technique can be used to determine the values of thermo-physical properties of aluminum alloys in industrial and research laboratories and centers involved in production of high-quality castings.
Model for estimating the shielding effectiveness of an enclosure with a perforated wall
Authors: Ivanov A A , Komnatnov M E 
Published: January 2020

Abstract
In this paper, an analytical model for evaluating the shielding effectiveness of rectangular enclosures with a perforated wall was proposed. Apertures in the perforation can be performed in a staggered pattern, while the perforation can be situated at an arbitrary position on the enclosure wall irradiated by an electromagnetic field. The results of the SE calculations using the proposed model and finite element method are presented. They are in good agreement in the frequency range up to 1 GHz. The shielding effectiveness of the ABB FOX515 multiplexer enclosure used in the electric power complex was also evaluated.
Features of evaluating the effectiveness of industrial enterprise marketing activities
Authors: Kukartsev V V , Khramkov V V , Fedorova N V , Rozhkova A V , Tynchenko V S , Bashmur K A 
Published: January 2020

Abstract
Adaptation to dynamic market changes and choosing the optimal development strategy based on the results of marketing activities today become a central problem for Russian industrial enterprises. Among the factors that determine the need to improve marketing practices, the costs of managing the flow of marketing information, the time to implement marketing opportunities and confront threats, knowledge of technologies, markets, their application and updating to ensure competitiveness, etc. are of decisive importance. The object of study is industrial enterprises that implements marketing activities. The subject of the research is the industrial enterprise marketing management process. The goal is to investigate the features of evaluating the effectiveness of industrial enterprise marketing activities based on a balanced scorecard. This article discusses a package of techniques for the development and use of a balanced scorecard to assess the effectiveness of industrial enterprise marketing activities. The advantages of evaluating the effectiveness of industrial enterprise marketing management using the concept of a balanced scorecard, which are focused on the future, accuracy, resource efficiency, objectivity, usefulness and timeliness, are substantiated.
Application of artificial neural networks digital filtering in measurements
Authors: Galkovskii O A 
Published: January 2020

Abstract
The problem of this paper is suppression of the noise component of the useful signal in the researching of factors affecting the coefficient of friction of a new type of machine polymer guide rail. The parasitic component occurs during measurements, due to the vibration sensitivity of the sensor and the specifics of measurements. To suppress this component, a neural network program filter modelling the noise function has been developed. Filtering of the noise component of the signal occurs in real time, so the requirements of the software to the system resources are the determining factor, with the same accuracy characteristics of artificial neural networks. Thus, the topology of radial basis functions is optimal for the problem of modelling the physical noise function. The software implementation of the neural network filter is made in the “G” language of the LabView development environment. Approaching the number of neurons of the hidden layer to the dimension of the training sample increases the accuracy of the function simulation, but at the same time causes retraining. The accuracy of the simulation of the function of the proposed system was 0.142%.
Design features of skid plate kinematics of the machine
Authors: Chernik D V , Karelina A A , Litvinova M M , Kazancev R V 
Published: January 2020

Abstract
This paper describes how the development equation of environmental perturbations on the technological equipment of skidder when running an obstacle two sides machine. We obtain a formula on which to construct the trajectory of motion of any point of technological equipment when moving of skidders through the obstacle two sides machine.
Confidence-based voting procedure for combining fuzzy systems and neural networks
Authors: Stanovov V , Akhmedova Sh , Kamiya Y 
Published: January 2020

Abstract
In this study the confidence-based voting of neural net classifier and fuzzy logic based classifiers is proposed. In this method, for the cases when the fuzzy system is confident enough in its decision, i.e. when the membership value is large enough, fuzzy system makes the decision, otherwise, the neural net is applied. This allows classifying most of the objects by explainable interpretable fuzzy system, while using the more accurate neural network for the most difficult cases. The experiments are performed on a set of test datasets, and two problems of identifying the emotional state of a person using the data collected by non-contact vital Doppler sensors. The results show that this setup allows not only improving the classification quality, but also allows to explain the classification process the explanation of the classifier functioning.
“Economic” forest growth models: the impact of phytomass removal
Authors: Soukhovolsky V , Ivanova Y 
Published: January 2020

AbstractAn ecological analogue of the economic growth model has been proposed to describe the growth processes of stands. The proposed model takes into account the growth of planting after the removal of phytomass (damage by insects, thinning, etc.). The function of the dependence of growth efficiency on the age of the stand and the volume of phytomass withdrawn describes the non-monotonic effects of changes in the plant phytomass after thinning. Data on the growth of plant phytomass after thinning is in good qualitative agreement with the proposed model.
Ensemble of the nature-inspired algorithms with success-history based position adaptation
Authors: Akhmedova Sh , Stanovov V , Erokhin D , Semenkina O 
Published: January 2020

Abstract
Previously, a meta-heuristic approach called Co-Operation of Biology Related Algorithms, or COBRA for short, based on a fuzzy logic controller for solving real-valued optimization problems was introduced and described. The basic idea of the originally proposed approach consists in a cooperative work of six well-known biology-inspired algorithms (components) with similar schemes. Furthermore, the fuzzy logic controller determines which biology-inspired algorithms should be included in the co-operative work and their population sizes at a given moment for solving optimization problems using the COBRA approach. In this study a new modification of the COBRA approach based on an alternative way of generating potential solutions is proposed. The stated technique uses a historical memory of successful positions found by individuals to guide them in different directions and thus to improve their exploration and exploitation abilities. The proposed method was applied to the components of the COBRA approach and to its basic procedures. The modified meta-heuristic as well as other variants of the COBRA algorithm and components (with and without the proposed modification) were evaluated on three sets of low- and high-dimensional benchmark problems. The experimental results obtained by all algorithms are presented and compared. It was concluded that the fuzzy-controlled COBRA with success-history based position adaptation allows better solutions to be found than the other mentioned biology-inspired algorithms with the same computational effort. Thus, the usefulness of the proposed position adaptation technique was demonstrated.
The research and development of the hybrid algorithm based on the collective behavior of Fish schools and the classical optimization methods
Authors: Demidova L , Gorchakov A 
Published: January 2020

Abstract
In this paper, we consider the hybridization problem of the evolutionary-inspired Fish School Search algorithm. The algorithm shows accurate results on solving multi-extremal optimization problems, outperforms most other swarm intelligence algorithms and is computationally inexpensive. But, the accuracy of the algorithm highly depends on the defined iteration count to compute. The accuracy increases with the increase of iteration count, but this also affects computation time required to find the suboptimal solution. In this paper, we propose two hybrid approaches which intend to accelerate the Fish School Search algorithm using either gradient descent or Newton’s algorithm. We provide the comparative analysis of the original algorithm and the two hybrid algorithms applied to the Styblinsky-Tang, Eggholder and other test functions for optimization, including multi-extremal and multi-dimensional ones. The obtained results confirm that the proposed hybrid algorithms are more effective, compared to the original population-based algorithm. The results demonstrate the strong advantage of the hybrid algorithm, where the gradient descent is used as its part. Additionally, we provide the solution of the XOR problem using a perceptron with one hidden layer, where the most effective hybrid approach is used to train the network. We visualize the loss function surface near the global extreme point to show the effectiveness of the proposed hybrid algorithm.
Computational technology for the study of atomic-molecular Morse clusters of extremely large dimensions
Authors: Sorokovikov P , Gornov A , Anikin A 
Published: January 2020

Abstract
The paper considers the problem of finding low-potential Morse clusters, which reduces to the global minimization of the non-convex potential function. The main difficulty of this class of problems is the astronomical increase in the number of local extremums with increasing dimension. We propose algorithms and computational techniques for the study of Morse clusters. Problems with a small, a medium and a large number of atoms are investigated to check the performance of the developed methods. System computational experiments were performed to search for a global extremum in the Morse model of extremely large dimensions (from 241 to 300 atoms). The authors are not aware of other attempts to carry out system computations for Morse clusters of the specified number of atoms.
Automatic differential equations identification by self-configuring genetic programming algorithm
Authors: Karaseva T S 
Published: January 2020

Abstract
The paper considers a reduction of differential equations identification problem to the symbolic regression task. The current approach allows automatic determining the structure of a differential equation via the usage of the self-configuring genetic programming algorithm. The a priori information needed is only the dynamic system initial point and the sample of input and output effects. The stability of the proposed approach to the presence of noise in the sample and the small amount of data is investigated.
Usage of different neural networks in identification of plant types
Authors: Bartsev S , Ivanova Y , Saltykov M 
Published: January 2020

Abstract
Since introduction of neural networks into remote sensing they demonstrate good efficiency in remote sensing data analysis. This work is devoted to processing of multispectral (12 bands) images from Sentinel-2(A, B) satellites. Satellite images of areas in Krasnoyarsk Region and Khakassia with known vegetation types are used as task books to train neural networks. Trained neural networks have been reduced to determine which bands are significant for vegetation type identification. Reduction of trained neural network show that vegetation type can be determined from only four infrared bands without significant loses in performance in comparison with non-reduced neural network.
Application of genetic programming algorithm for designing decision trees and their ensembles
Authors: Mitrofanov S A 
Published: January 2020

Abstract
Decision tree is a machine learning algorithm that is very effective in classification problems. Decision tree is a topical algorithm because of the good interpretability of the results of their work. However, decision tree has the drawback that standard algorithms don’t allow obtaining the optimal structure of the decision tree. To solve this drawback, it’s proposed to use the genetic programming algorithm. This algorithm is one of the branches of evolutionary algorithms and has proven itself for the design of intelligent information technologies. Genetic programming, in one of their implementations, searches for solutions in tree space, which is well suited for designing decision trees. Ensembles that are based on decision trees have high efficiency. In this paper, random forest and gradient boosting are considered. In ensembles, it’s proposed to combine decision trees that are designed by the genetic programming algorithm. Algorithms was tested on classification problems.
Improving DE-based cooperative coevolution for constrained large-scale global optimization problems using an increasing grouping strategy
Authors: Vakhnin A , Sopov E 
Published: January 2020

Abstract
Nowadays, high-dimensional constrained «Black-Box» (BB) optimization problems has become more urgent. At the same time, the constrained large-scale global optimization (cLSGO) problems are not well studied and many modern optimization approaches demonstrate low performance when dealing with cLSGO problems. Evolution algorithms (EAs) has proved their efficiency in solving low-dimensional constrained optimization problems and high-dimensional single-objective optimization problems. In this study, we have proposed a new approach based on the cooperative coevolution (CC) framework and an algorithm for increasing size of variables grouping on the decomposition stage (iCC) when solving cLSGO problems. We have proposed a novel EA that combines SHADE, iCC and ɛ-constrained method (ɛ-iCC-SHADE). The proposed optimization algorithm has been investigated using a new cLSGO benchmark, which is based on scalable problems from IEEE CEC 2017 Competition on Constrained Real-Parameter Optimization. The numerical experiments have shown that ɛ-iCC-SHADE outperforms the early proposed ɛ-CC-SHADE algorithm which operates with the fixed number of subcomponents.
A performance model of a multiprocessor computer appliance of a real-time control system
Authors: Galushin P V , Serikova O Yu , Terskov V A , Yarkov K V 
Published: January 2020

Abstract
The article proposes a performance model of a multiprocessor computer appliance in a real-time control system, built using the mathematical apparatus of queuing theory, and different from existing similar models in that they take into account the possibility of failure and recovery of the hardware components of computer appliances. This article also explores the possibility of optimizing technical and economic characteristics using the proposed model. Due to optimization problem characteristics we should conclude that such optimization may be performed by evolutionary algorithms.
Detection of homogeneous production batches of semiconductor devices by greedy heuristic clustering algorithms with special distance metrics
Authors: Shkaberina G Sh , Rozhnov I P , Popov V P , Kazakovtsev L A , Lapunova E V 
Published: January 2020

Abstract
Authors present a comparative efficiency analysis of application of k-means and k-medoids clustering models for solving the problem of grouping of semiconductor devices into homogeneous production batches using three types of metrics: Euclidean distance, Mahalanobis distance, Manhattan distance.