bluuebunny/crossref_metadata_2025 huggingface dataset:
Vibroacoustic processes of grinding fibrous semi-finished products in the knife refiners
Authors: Vikharev S
Published: January 2020

Vibroacoustic processes during refining in knife refiners are investigated. When the rotor blades move relative to the stator knives, pressure pulses occur that act on the fibrous semi-finished product, causing it to refine, and on the rotor and stator, causing them to vibrate. A technique has been developed for calculating the sliding speed of the rotor knives on the stator knives. The sliding speed of the knives depends on the headset pattern and the rotor speed and can reach the speed of sound in the metal. The necessity of taking into account the Doppler effect during vibration diagnostics and controlling the functioning of mills is shown. The error in calculating headset frequencies without taking into account the above effect can reach more than 40%, taking into account up to 8%.
Engineering design of second distillation column of IPA
Authors: Bamatov Ibragim M , Bamatov Dzhabrail M
Published: January 2020

This research work is about design of second distillation column in a continuous flow process for isopropylalcohol (88% purity) producing (Cumene process) for industry. The differences between tray and packed column were observed and the preferences were given to the one with most advantageous abilities. Some technical (engineering) calculations were solved within this project to choose accurate properties for the distillation column.
Industry 4.0 vs Industry 3.0: the role of personnel in production
Authors: Zakoldaev D A , Korobeynikov A G , Shukalov A V , Zharinov I O , Zharinov O O
Published: January 2020

The actual task is to prepare the specialists to work in the Industry 4.0 digital companies. There is an analysis of primary informative technologies and production equipment types to be used in the item designing companies of the Industry 3.0 and the Industry 4.0 smart factories. It is clear that knowledge and skills of production workers today are in sufficient to complete analogue working functions in digital companies equipped with cyber and physical systems. Cyber and physical productions are created to deeply automatize the Industry 4.0 smart factories technological processes of the item manufacturing. Cyber and physical productions are applied in digital companies where functioning principles are based with the implementation of humanless and paperless technologies into production activity. There is a scheme of operator and numeric control machine interaction, which are applied in the Industry 3.0 companies. There is a scheme of cyber and physical system and operator interaction in the Industry 4.0 digital production. It is clear that the Industry 4.0 specialists preparation must be initiated today in parallel with advanced informative technologies development and production cyber and physical systems.
A technique for monitoring content of undissolved gas in a hydraulic drive of a self-propelled vehicle
Authors: Lunev A S , Afanasov V I , Nikitin A A , Sokolov D A , Ionova V A , Obvintseva V Y
Published: January 2020

This paper considers a technique for monitoring the content of the undissolved gas in hydraulic systems. This technique is suitable for a self-propelled vehicle, forestry, lifting, and transport equipment. The paper presents an influence of gas content in the hydraulic fluid on the physical properties of hydraulic oils. The work is important because the hydraulic fluid is a mixture of liquid and undissolved gas. The measure test bench presenting in this paper makes it possible to understand the mechanism of monitoring the content of the undissolved gas in the hydraulic fluid.
Climatic effect on characteristics of a hydraulic drive of a self-propelled vehicle
Authors: Kaverzina A S , Lunev A S , Afanasov V I , Pilyugaev A I , Andreychikov I V , Zakovryazhin M V
Published: January 2020

This paper considers the dependences of performance parameters of the hydraulic drive of self-propelled vehicles used in road-building, logging, oil-producing, and other fields. Performance parameters of the hydraulic drive depend on numerous factors. The most important of them is the ambient temperature. The hydraulic drive has a wide temperature range from -60 °C to +100 °C.
Varieties and kinetics of fatigue cracking of fixed offshore platforms for oil and gas production
Authors: Starokon I V
Published: January 2020

The article investigates the different types of cracks and kinetics of propagation of cracks in main structural components and welds of the support blocks of fixed offshore platforms. Describes the process of metal fatigue for offshore installations. The article provides methods for calculating of the stress intensity factor and describes the methods of calculation for some cases. Based on the analysis of scientific studies, the author provides methods allowing to calculate two parameters describing the kinetics of crack propagation in relation to the elements and welded joints of offshore fixed platforms, namely the methods of calculation of threshold and critical stress intensity factor. On the basis of the conducted research the author constructed the kinetic chart of the development of fatigue cracks in relation to the elements and welded joints of the supporting blocks of fixed offshore platforms. In addition, the author gives the equation in which it is possible to determine the growth rate of fatigue cracks in various areas of the kinetic diagram.
Calculation of the efficiency of the planetary gear K-V-V without a carrier
Authors: Volkov G Yu , Fadyushin D V , Mirchuk M A
Published: January 2020

The work is dedicated to the calculation and improvement of the efficiency of the novel planetary gears without a carrier. The feature of the K-V-V gears is the misalignment of the axles of the driving wheel, the driven wheel and the supporting wheel. Three types of the gearing are considered: 1) involute; 2) involute with the track rollers; 3) articulated. Calculated values of efficiency at characteristic gear ratios are higher than, for example, worm gears, especially for variants with support rollers and gear-hinge gears. The articulated gear (variant 3) is much simpler than the involute gear with the track rollers (variant 2).
Consulting in international specialization and cooperation of high-tech industries
Authors: Piskorskaya Svetlana Yu , Malanina Yulia N
Published: January 2020

The article deals with the issues of international division of labor, international specialization and international cooperation in the field of high-tech industries. The main forms of international cooperation on the example of the market of aerospace equipment production are presented. The role of consulting in international cooperation is revealed, such areas as administration, personnel management, evaluation, financial, legal, tax, marketing consulting are considered.
The impact of the shunting processes in a plasma arc on the melting performance of the filler wire
Authors: Ivanov S I , Petrenko A A , Dmitrieva I A , Sakharova O N
Published: January 2020

The methodology for experimental measurement of the shunting current has been developed in the article. Upon reaching a certain depth of immersion of the filler wire into plasma due to an increase in the potential difference between the end face of the wire and the surrounding plasma, the shunting current is significantly increasing reaching several dozen amperes. By changing the immersion depth of the wire by changing the value of the shunting current, it is possible to control the heat input into the base and filler metal, as well as to manage the transfer of the filler metal.
Results of formation of knife blade
Authors: Urinov N F , Saidova M H , Odinaev R S , Isamov R N
Published: January 2020

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

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

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

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

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

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

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

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

The 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

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

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

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

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

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

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

An 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

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

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

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

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.
Point-dependent Lipschitz constants in univariate Lipschitz multiplicative programming
Authors: Khamisov O
Published: January 2020

A concept of a point-dependent Lipschitz constant is suggested. This concept is combined with Piyavskii’s algorithm. Technical details of constructing the point-dependent Lipschitz constant are described. Preliminary examples showing the effectiveness of the introduced concept are given.
Usage of different neural networks in identification of plant types
Authors: Bartsev S , Ivanova Y , Saltykov M
Published: January 2020

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

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

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

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

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.
Cooperative ant colony optimization for a hierarchical scheduling problem
Authors: Dresvyanskiy D , Semenkina O , Popov E A
Published: January 2020

An important part of modern integrated decision support systems in any area is scheduling. At the same time, domain knowledge can be extremely complex and includes numerous restrictions and process rules, which makes the corresponding optimization problem highly complicated. This paper is based on a hierarchical problem structure where the top-level problem is the travelling salesman problem, and the nested resource-constrained project scheduling problem is replaced by the simulation model. Cooperative ant colony optimization as well as other biology-inspired algorithms were evaluated on a set of generated problems, and the obtained experimental results are presented here.
Models set pre-processing for genetic programming based evolvement of models of models
Authors: Semenkina Mariia , Burlacu Bogdan , Affenzeller Michael , Pitzer Erik
Published: January 2020

We describe in this paper an extension of standard Genetic Programming where the terminal set of the algorithm is expanded with a set of basic models generated offline using a deterministic approach. The new algorithm called EMM-GP (Genetic Programming based Evolvement of Models of Models) uses a specialized mutation operator to sample this set during the recombination phase in order to create models that reuse valuable building blocks. In this work, a preprocessing of model set by means of clustering is considered.
Functional safety of cyber-physical production of the Industry 4.0
Authors: Zakoldaev D A , Gurjanov A V , Shukalov A V , Zharinov I O
Published: January 2020

An actual task has been studied to develop science and technical organization measures to provide functional safety of an Industry 4.0 smart factory. Functional safety is an industrial company property to provide continuous manufacturing of item designing components should some emergency cases in production happen. There is a typical structure of cyber and physical production and some schemes (a cluster scheme and a matrix scheme) to provide company functional safety by applying reserve cyber and physical systems. Reserve cyber and physical systems could be part of automatic technological line and is engaged should some primary equipment components are failed. It is clear that cyber and physical system reserving method selection depends on necessary level of functional safety in the Industry 4.0 smart factory.
Fuzzy multiple regression technical and economic model of airport terminal passenger handling system
Authors: Guzha E D , Khvostova T V , Romanenko V A , Skorokhod M A
Published: January 2020

A two-stage technique for the formation of a multiple regression model with a fuzzy dependent variable and parameters and clear independent variables is proposed. The results of the construction of a fuzzy technical and economic model of the baggage handling system, which is the technological core of the passenger service system at the airport terminal, are considered. The model is supposed to be used at the early stages of design and optimization of airport ground handling systems with incomplete initial information.
The task of determining the optimal structure of the rolling stock fleet of urban passenger transport
Authors: Fadeev A I
Published: January 2020

The task of determining the optimal structure of the capacity of the rolling stock fleet of urban public passenger transport is considered. In the article, on the basis of the balance between the intensity of passenger flows and the carrying capacity of the rolling stock fleet of public transport. This balance is determined on the basis of the analysis of technical and economic parameters of large, medium and small capacity buses. The break-even intervals relationship on the route of buses of different classes is considered. The article formulates a mathematical model for calculating the optimal structure of the fleet taking into account the interaction of routes; provides an algorithm for solving the problem, based on the principle of directed enumeration of options. The results of applying the proposed method on the example of passenger transport in the city of Krasnoyarsk are presented.
Analysis of modern approaches for maintaining a comfortable microclimate in the buildings
Authors: Sansyzbay L Zh
Published: January 2020

This paper identifies the technical and economic aspects of application of intelligent technologies to maintain a comfortable indoor microclimate on the basis of statistical data. In the process of studying works of foreign authors, examples of the climate control systems are considered, which are developed based on the use of various intelligent technologies (fuzzy systems, neural networks, neuro-fuzzy modeling). The results of analysis have revealed the advantages and disadvantages of the given control systems and has defined promising further directions.
Computational load reduction of fuzzy duplicate detection in large amounts of information
Authors: Sharapova E
Published: January 2020

The paper deals with the detection of fuzzy duplicates of documents in large amounts of information with low computational costs. The existing methods give either low search completeness at low computational costs, or acceptable completeness at very large computational costs. It is proposed to use combined method of detecting fuzzy duplicates. At the beginning of the whole set of documents with the help of signatures similar texts are searched and then, using context analysis methods, a detailed comparison of the texts found in this way is carried out. The method first performs an approximate search for similar documents using description words signature with a small match threshold. A detailed search for matches in previously found documents is performed using the shingles method.
Methodology of creation and application of business process management model based on organization information space in an organization
Authors: Charikov P N
Published: January 2020

The interaction of the management system with the organizational system appears during the control actions transfer and feedback reaction via information, i.e. it realizes an informational interaction of two systems. It defines the main matter of the control system as the system that generates and consumes information about the educational process and based on the data transformation. Consequently, a controlled process can be interpreted as an information generating environment, and the control process as an environment which generates and uses information
The use of first-order plans to determine the degree of influence of external factors on the course of a chemical reaction
Authors: Fabrichkina M O , Shatrov A K , Baranov V V , Litovchenko V I
Published: January 2020

To estimate the significance of the influence of external factors on the course of a chemical reaction, experimental design methods can be used. This article discusses the possibility of applying first-order plans for this task. A linear model and a first-order plan were constructed and the significance of factors for a specific task was evaluated.
Bricklaying robot moving algorithms at a construction site
Authors: Malakhov A V , Shutin D V , Popov S G
Published: January 2020

Automation of bricklaying using mobile robots requires new solutions in many spheres, including developing new algorithms. A mobile bricklaying robot moving at a construction site is considered as a task of planning its trajectory. The task is partly similar to passing a maze but has some distinctive features. Analysis of required movements and analysis of structure of a typical masonry plan allows create an approach to building a moving algorithm for a bricklaying robot. The developed algorithms consist of two separate algorithms, one for moving while directly building walls, another for fast and effective travelling between two points of a map without laying bricks. The developed algorithm has to be tested for different masonry plans and may be optimized in the described ways.
Mechatronic system for fruit and vegetables sorting
Authors: Balabanov P V , Divin A G , Egorov A S , Yudaev V A
Published: January 2020

The functional diagram of the mechatronic system for sorting and monitoring the quality of vegetables and fruit is given. The control objects were exposed to short-term thermal effects from sources of IR radiation during the movement on a roller table conveyor. The temperature fields of healthy control objects and damaged one by phyto-diseases or mechanical effects are different. This fact allows using a vision system based on a thermal imaging camera to detect subsurface defects for rejecting damaged control objects. Hyperspectral method of control was used for the surface defects detection. Defects detection algorithms in IR range images, as well as on the results of spectrogram processing, are given.
The method of structural schemes transformation
Authors: Bronov S , Nikulin N , Avlasko P , Stepanova E , Krivova D
Published: January 2020

The structures of modern automatic control systems often have many contours. The method of structural schemes automated transformation to obtain the transfer functions of the system with an arbitrary combination of external input and output actions of the blocks has been proposed. The inputs of the blocks are connected to the outputs of the previous blocks. Therefore, the analysis of output actions is simultaneously considered to be the analysis of input actions. But there is also a need to analyze separately the actions at inputs and outputs of the blocks. The result of the manipulation is matrix of transfer functions of the system. It can be for outputs and inputs of blocks’ actions. The presented method can be used in the controllers’ synthesis.
Justification for choosing a single-board hardware computing platform for a neural network performing image processing
Authors: Tolmacheva A E , Ogurtsov D A , Dorrer M G
Published: January 2020

This article describes testing the operation of the YOLO2 neural network on single-board platforms and processors. The task was to find a computing platform on which the neural network could perform the processing of the images presented to it as quickly as possible. In this case, interference in the operation of the remaining modules of the system should have been minimized. In addition, the task was to minimize the solution price. Based on the results of the comparison, the Neural Compute Stick 2 hardware platform was chosen as a computing platform for the tasks with neural networks. In the future, the selected module can be used instead of the NVIDIA 1070 ti video card for the task of clustering and segmenting objects using the YOLO2 real-time network. This choice will simplify the design of the hardware-software complex and minimize its cost.
Information technology for the deployment of the OpenStack cloud environment
Authors: Shevchenko V I , Chengar O V , Kokodey T A
Published: January 2020

This article discusses the information technology of implementing and adapting cloud services for a research laboratory using the OpenStack open environment as an example. The structure of the cloud computing environment is developed. An example of the implementation of the installation and configuration of client and server applications using three computers is given. The proposed technology will allow the user to deploy and configure the OpenStack environment with basic services for installing virtual machines with an internal network and a set of external addresses.
Application of neural network modeling and fuzzy inference methods in cladding operation design
Authors: Rastorguev D A , Zotov A V , Dema R R
Published: January 2020

The article considers an example of a combined approach in the technological operation designing. The features of this approach are considered when choosing and calculating the design and technological parameters of the operation. The proposed method combines the use of the analytical and experimental studies results with soft computing. The example of multi-stage iterative designing of the cladding operation shows how to simplify it. The application of neural network and fuzzy modeling is considered in terms of expanding the possibilities of working with data obtained from analytical and experimental studies. Combining neural network and fuzzy modeling makes it possible to dispense with a minimum amount of data to obtain working dependencies. Such a combined application of the methods provides high accuracy of output data forecasting. Due to the high generalizing ability, the possibility of adaptation and adjustment, the proposed approach allows to expand technological capabilities in the design of operations, to increase the efficiency and competitiveness of production.
Information system to support the achievements assessment of future engineers in the learning process
Authors: Bets Yu S , Tynchenko V S , Kukartsev V V , Bukhtoyarov V V , Dremin R S , Filimonov I S
Published: January 2020

This article discusses a comparative analysis of the monitoring and analysis information systems existing in the world, a description of the subject area of the system being developed, analysis of existing software tools, such as the Science information and analytical system, the Monitoring and evaluation of academic achievements system, and AIS Elzhur. We consider the development and design of the algorithm of the system. At the stage of logical design, all attributes and attribute domains were formed, a logical model was built, and a physical model of the system was developed using the dbForge for MySQL database administration program with the structure of the database tables. The structure of the software product as a whole was developed, and the interaction structure of the tabs of the main window was described in detail and the process of working with the system was described. As a result of the study, an automated system was developed for taking into account the rating of athletes at Reshetnev Siberian State University of Science and Technology on the basis of the sports club. The proposed information system allows to accumulate data on sports activities of students, to evaluate the effectiveness of sports activities with various details, to compile, build and print a variety of reports and schedules for a certain time period, to optimize the process of evaluating sports activities and assigning rewards through the developed system criteria for rating building, reduce the time required to search for information due to the possibility of search and filtering.
The algorithm of overall optimization based on the principles of intraspecific competition of orb-web spiders
Authors: Baranov V A , Lugovaya N M , Mikhalev A S , Kudymov V I , Strekaleva T V
Published: January 2020

This work presents a new global optimization algorithm based on the behavior of orb-web spiders. The spider method is a heuristic competitive iterative method of random search whose main idea is to model the behavior of Garden orb-web spiders. The paper describes a solution search strategy based on the features of building a web and competitive behavior; the step-by-step algorithm for solving the problem is presented. The concept of the method is simple; the algorithm does not contain complex calculations. The positions of spiders and flies (test points) are generated randomly, herewith, due to the correct selection of the obtained values, the search for an optimum lead to a rather accurate result. The article describes all the parameters used in the method and presents recommendations for changing settings. The selection of the optimal parameters for various classes of test functions is performed. Parameter settings were performed on three classes of test functions: unimodal, ravine, and multiextremal. As part of the work, a computational experiment was conducted to study the effectiveness of the developed method as well. We compared the proposed method with other proven metaheuristic optimization algorithms. The method showed good results both when working with simple (unimodal) functions, and when finding the optimum of functions with a more complex landscape (multiextremal functions). Based on the above advantages, the spider method can be adapted to solve applied problems with relative ease.