bluuebunny/crossref_metadata_2025_split huggingface dataset:
Application of system analysis methods for modeling the development of hand-arm vibration syndrome: problems and approaches to solution
Authors: Diakovich M P , Krivov M V 
Published: November 2020

Abstract
The paper presents the approaches to the use of system analysis methods in modelling of hand-arm vibration syndrome (HAVS) in workers exposed to local vibration. The practice of using regression, information-entropy models artificial deep neural networks based on deep learning taking into account the dose of local vibration as an exposure factor is shown. The construction of HAVS occurrence model in the form of a multi-parameter regression approximated using a multilayer neural network is considered. A binary classifier that allows a set of attributes to attribute a person to a group of healthy people or to a group of people with HAVS is built. After training, the HAVS dynamics model made it possible to obtain a qualitative picture of the dependence of changes in the endocrine system on the individual experience dose of vibration and to determine the period of increased risk of pathology. The method applying to the occupational diseases differential diagnosis support system integration is discussed. Further study directions are also outlined.
Study of robustness of information embedding into digital images DWT domain using QIM method against destructive effects and steganalysis
Authors: Evsutin O O , Melman A S , Filippov A A , Chernov I D 
Published: November 2020

Abstract
Steganography is one of effective solutions to ensure information confidentiality. For this purpose, secret information is embedded into a cover object, for example, a digital image. However, embedded data can be detected using steganalysis techniques. As a result, an attacker can apply destructive effects to the stego-image and destroy the embedded data to prevent their hidden transmission. Therefore, this paper presents a study of robustness of information embedding into digital images DWT domain using QIM method against destructive effects (JPEG compression, brightness change, etc.) and statistical steganalysis at the same time. The results will help to increase the efficiency of information embedding into DWT domain of digital images.
Mathematical model as a means of predicting effectiveness of well intervention for near-wellbore space
Authors: Gabdrakhmanova K F , Izmaylova G R , Mikhaylov M O 
Published: November 2020

Abstract
The conclusion about the appropriateness of using this or that type of well intervention equipment should be based not only on the technological and economic efficiency but also on a mathematical model. The existing geological and field restrictions for the selection of impact objects for each type of well intervention should not also be overlooked due to the fact that in this case the use of a mathematical model is more appropriate. A fundamentally new method of multifunctional regressive mathematical modeling for evaluating the technological efficiency of processing the bottom-hole zone with an increase in the oil recovery coefficient is described. A new algorithm for determining the dependence of the technology efficiency is proposed, the obtained multivariate regression model is checked for statistical reliability and significance, the forecast for the increase in oil recovery coefficient is calculated
Methodological basis of simulation and cognitive modelling technology of socio-economic systems
Authors: Ginis L A 
Published: November 2020

Abstract
The results of the study are presented in the article, the purpose of which is to provide a methodology for modeling studies and forecasting the development of social and economic systems (SES) based on fuzzy hierarchical cognitive approach. The task of developing methods of SES formalization is being solved. Basic methods: system analysis, hierarchical multilevel system theory, control and decision-making theory, graph theory, fuzzy set and fuzzy logic theory, simulation modeling. The subject of the study is a generalized model of the socio-economic system. The paper describes the theoretical foundations of the original simulation-cognitive modeling technology developed to model socio-economic systems. The technology combines crisp and fuzzy cognitive models. The theoretical-multiple metamodel of the complex system under study is disclosed, the identification model of which is based on the metamatrix developed by the author. There is presented an integrated diagram of the methodology of application simulation-cognitive methodologies of SES, its stages are indicated. The practical application of the methodology will make it possible to develop science-based management solutions to ensure the safe and sustainable development of SES and to take into account the human risk factor.
The use of a production approach in the development of decision support systems for medical purposes
Authors: Gruzenkin D V , Novikov O S , Sukhanova A V , Kukartsev V V , Tynchenko V S , Mikhalev A S 
Published: November 2020

Abstract
This article discusses the application of the production approach to the implementation of decision support systems, the input for which is a number of signs, and the output is a number of response actions. The general solution using the Cartesian product of sets is described. In addition, block diagrams and diagrams are given for visualization of theoretical material, and an example of an existing medical system implemented on the basis of the described solution is also considered. The relevance of traditional approaches to the development of a decision support system is proved along with the growing popularity of artificial neural networks.
Method for increasing the dynamic range of digital images based on modular arithmetic
Authors: Guzhov V I , Ilinykh S P , Khaidukov D S 
Published: November 2020

Abstract
The article proposes a new method of synthesis of digital images from several digital images to increase the dynamic range of intensity. The method is based on modular arithmetic. The increased range is divided into several residual classes. The full value of the intensity is calculated as the solution of the system of comparisons of residues for given modules. An analysis is made of the stability of the proposed method to the nonlinearity of the transfer characteristic and digital image recording devices under various types of interference. To this end, the maximum range for changing the brightness of a digital image is limited. By selecting the magnitude of the modules and the maximum brightness value, the distance between the diagonals in the decision table is selected so that this distance is greater than the level of distortion and (or) interference. Experimental validation of the method has been performed.
Scaling algorithm designed to reduce circuit costs for modular digital filters
Authors: Kalmykov I A , Sidorov N S , Tyncherov K T , Vorohov A A 
Published: November 2020

Abstract
Currently, there is a tendency to increase the speed and accuracy of data processing in computer networks (CN). It is possible to meet these requirements through the use of new technologies in CN telecommunication devices that rely on residue class codes (RNS). In these codes, input values are presented as sets of remainder moduli of the RNS base selected. As a result, arithmetic operations are performed in parallel, which provides an increased speed of signal processing. Therefore, RNS codes are used in high-speed modular digital filters (MDF). To advance the accuracy of digital signal processing in MDF, the number of RNS bases is increased, which leads to greater circuit costs. It is possible to remedy this shortcoming by scaling an MDF response. Hence, it is crucial to develop a scaling algorithm to reduce circuit costs for MDF implementation.
Algorithm for assessing effectiveness of renewable energy facilities placement
Authors: Kirichenko A S , Kirichenko E V 
Published: November 2020

Abstract
Criteria affecting the choice of an optimal option for placing renewable energy facilities with regards to the methodology for calculating the capacity and amount of generated energy have been selected. The features of calculating a spatial data matrix are shown. An algorithm for creating a spatial data matrix for renewable energy resources applicable to the Krasnodar Territory is presented. An algorithm for choosing the best option for placing renewable energy facilities is presented.
Data sharing by means of multiple fog robot servers
Authors: Klimenko A B , Ivanov D Y 
Published: November 2020

Abstract
Fog robotics is an entirely new direction in the robotic field, inspired by the fogcomputing concept. Some fog architectures have been developed for robots groups and robot swarms, yet, to the best of our knowledge, there are no developed mechanisms of data sharing and replication in such structures. So, they are in the focus of this paper. The distributed ledger-based architecture for the fog robot servers is considered and described, as well as some models have been developed to estimate the time needed for data sharing. Simulation results show the expediency of consensus methods usage for distributed ledger-based.
Modeling the management of fluctuations in stocks in production
Authors: Kukartsev V V , Tynchenko V S , Petrenko V E , Milov A V , Ezhemanskaya S N 
Published: November 2020

Abstract
The article describes a simulation model that describes the fluctuations of the system. It is possible to track changes of fluctuations in stocks levels, as well as in production. Fluctuations occur when the behavior of the model deviates above or below the equilibrium point. If the oscillations damp, they will become less and less and eventually disappear in the absence of an external force that stimulates them. This model was built with the help of the program Powersim Studio 7 Express. The input interface of the model is shown. It includes such data as “Equipment correction time”, “Changing timeout”, “Inventory”, “Equipment” and “Expected demand”. This model contains three constants, two auxiliary variables, two drives and three streams. An experiment was conducted on the input data. As a result of the experiment an output interface was created and it includes such graphs as “Behavior “Expected Demand”, “Order Level” and “Production” during the simulation” and “Comparison of “Equipment” and “Required Equipment” during the simulation”. According to these graphs, it is possible to track the actual and necessary equipment used in production, as well as understand how much needs to be produced to cover the discrepancies between stocks and desired stocks, as well as expected consumer demand.
Dynamic model of the work team composition in the organization
Authors: Kukartsev V V , Tynchenko V S , Dzhioeva N N , Kukartsev V A , Yamshchikov A S 
Published: November 2020

Abstract
The article presents a dynamic model of the composition of the labour collective in the organization. The model is built, taking into account the following categories of workers: «Executives», «Specialists», «Employees», «Workers» using Powersim Studio. Our model is multidimensional. A model management interface was created, which includes an input interface through which data is entered, as well as an output interface that allows seeing the difference between new employees and experienced ones. During the experiment, a model of the life cycle of an employee in an organization from hiring, adapting, working to experienced employees to the subsequent dismissal was considered. Based on the calculations, it was concluded that the recruitment rate, the speed of dismissals and the total number of employees affect the reception of new employees.
Fuzzy formalization of the multi-stage processes temporal description
Authors: Lomazov A V , Lomazov V A , Rumbesht V V 
Published: November 2020

Abstract
The problem of constructing the periodization of socio-economic and organizational-technological processes, which makes it possible to divide them into stages for a more detailed study, is considered. The methodological basis of the study is the conceptual apparatus of L. Zadeh’s theory of the linguistic variable in combination with expert assessment technologies. According to the specifics of the description of non-stationary processes, a linguistic variable has been developed, the values of which (temporal terms) correspond to the stages of the process. A new type of temporal terms that are semantically described by bitrapezoidal membership functions is proposed, and an expert procedure for constructing these terms is indicated. A system of algebraic operations on temporal terms is proposed and justified (by statements on properties), which allows formulating syntactic and semantic rules for the transformation of terms. The proposed formal linguistic description of the stages allows the analysis of socio-economic and organizational-technological processes using the procedure of fuzzy inference based on a fuzzy production rule about the subject area, which can help increase the scientific validity of management decisions.
Mathematical description of commutation in multipulse rectification schemes with voltage asymmetry
Authors: Neyman L A , Neyman V Yu , Linnik K S 
Published: November 2020

Abstract
Modern achievements in the field of construction of transformers and Converter technology allow creating integrated multipulse rectifier units that meet the currently increased requirements of electromagnetic compatibility between different consumers of electric energy and the network feeder. Current rectification carried out with the help of valve devices is closely related to commutation processes, the widespread use and distribution of which requires accurate consideration of the factors that determine them. One of the important questions is the degree of influence of the structural asymmetry of the transformer converter of the number of phases on the overlap angle and on the rectified voltage in the commutation zone. The paper offers a mathematical description of the steady-state process for solving a wide group of practical problems, including commutation periods for the case of converter asymmetry with an arbitrary number of ripples of the rectified voltage.
Modelling transients in high-order electrical circuits in Matlab Simulink
Authors: Neyman V Yu , Prokopov A V , Less V M 
Published: November 2020

Abstract
The relevance of the study is due to the need to improve and expand the possibilities of calculating electrical circuits in transients. As an object for research, linear electric circuits of the second and higher order with zero initial conditions are considered. The main goal of the research is the task of performing dynamic calculations when simulating transients in linear high-order circuits by the methods of structural simulation in the Matlab Simulink software environment. The main attention is paid to the issues of constructing structural diagrams of high-order electric circuit models. The basis for the description of processes is the equation, compiled according to the laws of Kirchhoff, linking the instantaneous values of currents and voltages of the elements of the electric circuit through their parameters. Examples of numerical modelling using variants of models of structural circuits of the electric circuit are given. The advantages of the method of simulation structural modelling in the calculation of dynamic circuits with respect to existing analytical methods for calculating transients in high-order circuits are also considered in this paper.
Finite-element modelling of electrodynamic processes as a method of determining the optimal number of turns on a winding of a machine press electromagnetic motor
Authors: Neyman V Yu , Balabanov A M 
Published: November 2020

Abstract
This article presents the optimization problem solution employing the methods of finite-element modelling of electrodynamic processes for choosing the number of winding turns in an electromagnetic motor driving a machine press. The subject of the investigation is a new methodology for identifying optimization solutions to a differential equation describing the finite-element model of the electromagnetic motor and analyzing its calculated dynamic characteristics. The object of the investigation is a cylindrical construction of an electromagnetic motor with two working gaps and a combined composite armature. The basis of the finite-element model is a computational scheme and a software package created at the Department of Applied Mathematics at Novosibirsk State Technical University. It is illustrated that the applied computing apparatus and the software package allow performing an accurate search for the optimal number of turns on a winding of an electromagnetic motor at the design stage with due consideration for the required geometric parameters and the magnetic properties of the structural materials employed for obtaining the maximum final velocity of the armature in motion.
Impact investigation of road characteristics on the accident rate based on the neural network modelling
Authors: Pechatnova E V , Kuznetsov V N 
Published: November 2020

Abstract
The use of neural networks promotes flexible non-linear modelling. Also, it is the perspective direction. The article investigates the influence of the main road characteristics on the accident rate. Twelve variables are selected as the main road characteristics. The result of modelling is the two-layer feed-forward neural network with hidden sigmoid nodes and linear output nodes. The operability of the model is estimated by calculating the index of regression by training, validation and testing. The results are acceptable for the intended purpose. The resulting model can be used for assessing and forecasting the safety rate on the two-lane roads with the intensity of 120 to 340 cars/hour. These include a significant part of the streets of CIS countries and other states. Besides, the neural network model can become the basis for the development of software products for assessing the accident rate based on road characteristics or can be implemented in existing software.
The removing of multiple reflections from a curved interface at the common-source seismogram
Authors: Rabinovich E V , Demianenko A V , Turkin A S 
Published: November 2020

Abstract
The proposed simplified version of the original solution for the actual problem of removing multiple reflections from a curved interface at common-source seismogram is suggested. The solution to this problem is complicated in the framework of the approach based on using a reflected wave’s hodograph. The proposed solution is based on the analytical expression for describing a reflecting interface structural form. The expression is obtained using the location algorithm based on solving only direct kinematic seismic problems. There is an analytical expression; one can calculate the propagation paths of the multiple reflections and its arrival times at the receivers of the observation base. If a seismic wavelet is detected in a limited range, including a multiple reflected wave arrival time, it is possible to remove the detected wavelet for eliminating its distorting effect to the direct reflected signal.
Analysis of the stationary availability factor of fault-tolerant three-layer local area networks
Authors: Rahman P A 
Published: November 2020

Abstract
This scientific paper is devoted to the fault-tolerant local area networks with three functional layers: core, distribution and access. The reliability analysis of three-layer networks using the reliability model of the group of identical and independent restorable elements and offered by the author formulas for calculation of the stationary availability factor of three-layer local area networks with single and multiple distribution subgroups are discussed. Finally, an example of calculation of the stationary availability factor of the fault-tolerant three-layer local area network with two distribution subgroups is presented.
Using cloud-based machine learning technologies in limited funded social research
Authors: Romanchukov SV , Berestneva OG , Berezhnova EV 
Published: November 2020

Abstract
This work is devoted to the description of cloud solutions for machine learning, which are already used in the business data analysis and may be applicable in the social sciences. First of all, the article is addressed to specialists in sociology/psychology/economics/gender studies, who need a deep analysis of the accumulated data, but at the same time do not have sufficient expertise in the field of mathematics, machine learning and Big Data processing and/or do not have sufficient funding to support the staff of professional analysts or data scientists. Using as an example one dataset, the size and structure of which are comparable with those for various social studies, we go through all stages of training and testing the model in Google Cloud AI and IBM Watson Auto AI, comparing their advantages and disadvantages.
Stress-deformed state of a fixed support of the unit with account of influence of near back technical devices with geometric deviations
Authors: Rubtsov A V , Kulakov P A , Mukhametzyanov Z R , Farshatov A R , Bayazitov M I , Kovshova Yu S , Gimaltdinov I K 
Published: November 2020

Abstract
The normative and technical documentation in the field of industrial safety establishes permissible deviation standards at which the equipment can be operated at a given technological mode and regular monitoring of the technical condition. As a rule, the main method for detecting deviations is visual and measuring control, as well as geodetic measurements, allowing fixing the admissibility or inadmissibility of geometric deviations. However, the current methods do not provide the calculation of structures with geometric deviations under current operating loads with the determination and assessment of the places of the occurring maximum stresses, as well as their values. The stress-strain state of the process equipment also does not provide the assessment from the effects of neighboring technical devices that are in the common technological system and have various geometric deviations during installation. In this paper, we study the relation of technical devices that are in a common technological system and have geometric deviations such as deviation from verticality and the displacement of the edges by the stress-strain state of the fixed support of a horizontally located apparatus.