bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pipe Welding Machine Modernization
Authors: Frolov A V 
Published: November 2021

Abstract
There are the results of pipelines rolled joints welding machine modernization. The machine is designed using a welding rotator, linear electric drives, stepper motors, CNC system. The machine is controlled by a CNC system according to ISO 6983-1: 2009. The machine consists of: stepping rotary device, welding torch stepping device, controlled TIG welding power source, controlled welding wire feeder, welding current control system, workpiece rotation control system and welding torch. The welding torch movement trajectory controlling software has been created. It allows to weld by any type of welding torch recommended movements. The modernizing machine allows welding the pipelines rolled joints in automatic mode both in one pass and in multi-pass. The machine can be used for industrial pipeline elements welding, for welding modes testing, for studying the effect of welding modes on the quality of pipeline welds. The results can be adapted for sheet structures welding using the standard commands of the ISO 6983-1: 2009 standard. The results can be adapted to industrial welding robots control. The welding machine can be used for MIG / MAG welding and surfacing.
Development of an Information System for the Distance Learning Process Organization
Authors: Obukhov A , Volkov A , Maistrenko N 
Published: November 2021

Abstract
The article describes the process of creating a personal account system for correspondence students, starting with the study of the issue as a whole and ending with the process of developing one of the main components of the information system. The process of creating an IS includes such stages as: determining the required functionality, designing the overall architecture of the system and each of its components. The technologies and software solutions used to system implementation are described, as well as the method of integrating the created solution with the existing information infrastructure of the educational institution. A brief mathematical description of one of the tasks solved by the information system, automated schedule generation, is also given.
Development of a Visualization System for a Virtual Laboratory for Training Personnel of Industrial Enterprises
Authors: Arkhipov A , Prokudina N , Patutin K 
Published: November 2021

Abstract
An urgent task in the training of personnel of industrial enterprises is the development of the required amount of practical skills. In the context of a pandemic, restrictive measures, as well as the high cost and danger of conducting training on real equipment, virtual laboratories are becoming one of the most promising training tools. The virtual laboratory includes a visualization system (many 3D objects, animations and effects), as well as software components, databases, modules for logging and assessing the quality of exercise performance. Within the framework of this work, the task of developing a visualization system for virtual laboratories is considered. A structural diagram of the visualization system is proposed, illustrating all the necessary elements for creating virtual stands, an implementation algorithm is drawn up. The software implementation is described on the example of a laboratory setup for performing the Reynolds experiments.
Model for Assessing the Immunity of Channels Using Frequency Manipulation Signals
Authors: Fedorov V K , Balenko E G , Dvornikov S V , Lauta O S 
Published: November 2021

Abstract
The issues of noise immunity of control channels of robotic systems using signals with frequency shift keying are considered. The article presents the results of estimating the probability of a bit error depending on the duration of the intervals at which the time coincidence of the structural interference with the signal occurs. Proposals are formulated for the practical use of the results obtained.
Testing Platform Invoke as a Tool for Shellcode Injection in Windows Applications
Authors: Fedorov V K , Balenko E G , Gololobov N V , Izrailov K E 
Published: November 2021

Abstract
This paper investigates software attacks based on shellcode injection in Windows applications. The attack uses platform invoke to inject binary code by means of system calls. This creates a separate threat that carries the payload. The paper overviews protections against shellcode injection and thus analyzes the injection methods as well. Analysis models the injection of malicious code in a Windows app process. As a result, the paper proposes a step-by-step injection method. Experimental injection of user code in PowerShell is performed to test the method. The paper further shows the assembly code of the system call as an example of finding their IDs in the global system call table; it also shows part of the source code for the injection of binary executable code. Various counterattacks are proposed in the form of software control modules based on architecture drivers. The paper analyzes the feasibility of using dynamic invoke, which the authors plan to do later on.
Measurement of Oil Consumption by Turbine Flow Meters in Conditions of Wax Deposition
Authors: Krasnov A N , Prakhova M Yu , Novikova Yu V 
Published: November 2021

Abstract
Commercial metering of oil is performed at almost all stages of the life cycle, from well production control to the transfer of the produced oil to the end customer. In most cases, special systems for measuring the quantity and quality of commercial oil (SIQO) are used for this. If such a system implements an indirect dynamic measurement method, then a turbine flow meter is most often a means of measuring volumetric flow. Its accuracy depends on many external factors, including wax deposits on the inner surface of the measuring pipeline and on the elements of the flow meter itself. The article investigates the influence of the thickness of the paraffin layer on the error value of the turbine flow meter. It is shown that the decrease in metrological reliability occurs mainly due to the appearance of a paraffin layer in the measuring line itself. It is proposed to determine the timing of the metrological characteristics verification by indirect parameters, in particular, by the change in pressure in the measuring line.
Hybrid Decentralized Nonlinear Control System for Manipulation Robot with Input Saturations
Authors: Eremin E L , Nikiforova L V , Shelenok E A 
Published: November 2021

Abstract
The paper is devoted to consideration of the problem of constructing a discrete-continuous decentralized nonlinear combined control system for two-link robotic manipulator with restrictions in control signals. The mathematical model of the manipulator is presented as a two-channel dynamic plant with nonlinear cross-links. As methods for solving this problem V. M. Popov’s hyperstability criterion and the conditions of L-dissipativity are used. With the help of simulation, the quality of the proposed control system is shown. The results obtained in article may be useful for construction the control systems for manipulators with many degrees of freedom and also for control various mechanical systems.
Optimization of Phase Determining Method for Automatic Transfer Switch Operation Based on Simulated Annealing
Authors: Tikhomirov A A , Sobolev N V 
Published: November 2021

Abstract
Fast reserve supply input systems significantly increase the reliability of power supply due to the possibility of preserving the technological process in case of emergency situations. The accuracy of determining the phase of the residual voltage on the busbar in process of connecting the power reserve supply provides a way to significantly reduce the starting overcurrents. In this paper, some modifications of the annealing method for determining the phase of the residual voltage on main section of busbar for emergency mode are considered. The obtained simulation results based on MATLAB environment make it possible to carry out a comparative analysis of a number of calculations for phase estimation design of automatic transfer switch operations based on simulated annealing.
Centralized Control System of the Flotation Department: Ross-Eshby Principle
Authors: Lednov A V , Logunova O S , Khudyakov P Y , Kukhta Y B 
Published: November 2021

Abstract
The aim of the study is to scientifically substantiate the need to use the axiomatic approach when choosing and studying the processes of centralized dispatching control of technological parameters for a complex of flotation machines. During the research, the au-thors performed: comparison of a real object and its properties with the classical control axioms of system analysis; substantiated the use of a hierarchical structure of interrelated technological parameters and their application for situational management. Methods of classical control axioms of system analysis were used for the research. The authors formu-lated the criteria for situational management, the concept of visualization in the dispatching system. The results obtained allow us to assert that the implementation of the Ross-Ashby principle significantly increases the controllability of technological processes with a large number of units and measured parameters.
Improving the Efficiency of Autonomous Heat Supply Systems by Implementing Integrated Control Systems
Authors: Gordin S A , Sosnin A A , Zaychenko I V 
Published: November 2021

Abstract
In this paper we studied the actuality of the problem of optimal control of the heat supply system as a single complex object on the basis of a generalized mathematical model that takes into account the dynamics of the fuel combustion process, heat generation, its transmission through the heat network and that takes into account the dynamics of heat energy consumption and various external factors.
Algorithms for Detecting and Preventing Attacks on Machine Learning Models in Cyber-Security Problems
Authors: Chukhnov A P , Ivanov Y S 
Published: November 2021

Abstract
Machine learning algorithms can be vulnerable to many forms of attacks aimed at leading the machine learning systems to make deliberate errors. The article provides an overview of attack technologies on the models and training datasets for the purpose of destructive (poisoning) effect. Experiments have been carried out to implement the existing attacks on various models. A comparative analysis of cyber-resistance of various models, most frequently used in operating systems, to destructive information actions has been prepared. The stability of various models most often used in applied problems to destructive information influences is investigated. The stability of the models is shown in case of poisoning up to 50% of the training data.
Modeling of Seasonal Variations of Thermal Energy Production by an Electric Power Company based on Neural Network Technology
Authors: Zhebsain V V , Erdniev O P , Zhebsain T V 
Published: November 2021

Abstract
The paper considers the problem of modeling the dependence of the value of thermal energy production by an electric power company on the air temperature using neural network technology. As an example of an electric power company producing thermal energy, the Public Joint-Stock Company (PJSC) Yakutskenergo. As consumers of thermal energy, organizations, enterprises and the population of the city of Yakutsk, are located at latitude 62 and characterized by a cold northern climate. The numerical experiments carried out in this paper have shown that the general trend of the temperature dependence of thermal energy production, observed empirically, is well described by a neural network
Evaluation of the Diethylene Glycol Regeneration rate in Gas Fields Based on Indirect Measurements
Authors: Krasnov A N 
Published: November 2021

Abstract
Gas dehydration in the field is a mandatory procedure before long-distance transportation. In Russia, gas is dried by absorption using diethylene glycol (DEG). Upon absorbing moisture from the raw gas, DEG is regenerated and recycled to dehydration, the quality of which largely depends on the regeneration rate. This indicator is not measured directly at the dehydration plant, and regeneration is controlled discretely based on the periodic laboratory analysis results. The paper describes a virtual analyzer determining the DEG concentration in a real-time mode based on the temperature and DEG consumption measurement results. The regression mathematical model underlying the virtual analyzer has been built based on experimental data obtained at the Yamburg gas condensate field. As part of the gas treatment plant APCS, a virtual analyzer improves the treatment efficiency and reduces the DEG consumption.
The Assessment of a Magnetizing-Current Inrush of a Power Transformer
Authors: Kuvshinov A , Vakhnina V , Kretov D , Chernenko A 
Published: November 2021

Abstract
The study aims to propose an analytical tool for determining the parameters of the power transformer magnetizing inrush current caused by geomagnetically induced currents flowing through high-voltage windings with a grounded neutral under the impact of geomagnetic disturbances on the power grid. The analytical equations for the instantaneous magnetizing current under geomagnetic disturbances were obtain by mathematical model of magnetizing branch for a shell-type power transformer. A model base on a magnetization characteristics piecewise-linear approximation for the electrical steel. The magnetizing inrush current amplitude and duration it was found depends on the intensity of geomagnetic disturbances and in cope-link with the dynamics of the power transformer core saturation transient process were determined the changes in the magnetizing inrush current amplitude and duration under geomagnetic disturbances. The magnetizing inrush current amplitude it was found may reach the level of short-circuit current periodic component at the point of power transformer grid connection. The results were verify by comparing the design and experimental values of the magnetizing inrush current amplitude. The advantages of proposed mathematical model shown with justifying the analogy between core saturation under connecting of power transformer to a grid and under geomagnetically induced currents exposed. The piecewise-linear approximation of power transformer magnetization characteristic, allow to obtain the amplitude value of magnetizing inrush current caused by geomagnetically induced currents with an accuracy of 6% and can be used with power grid steady state and transient simulation under geomagnetic disturbances.
Analysis of the Transformation of Random Signals and Noise Using Poly-Gaussian Models
Authors: Artyushenko V M , Volovach V I 
Published: November 2021

Abstract
Analysis performed transformation of random signals and noise in linear and nonlinear systems based on the use of poly-Gaussian models and multidimensional PDF of the output paths of information-measuring and radio systems. The classification of elements of these systems, as well as expressions describing the input action and output response of the system are given. It is shown that the analysis of information-measuring and systems can be carried out using poly-Gaussian models. The analysis is carried out with a series connection of a linear system and a nonlinear element, a series connection of a nonlinear element and a linear system, as well as with a parallel connection of the named links. The output response in all cases will be a mixture of a poly-Gaussian distribution with a number of components. An example of the analysis of signal transmission through an intermediate frequency amplifier and a linear detector against a background of non-Gaussian noise is given. The resulting probability density distribution of the sum of the signal and non-Gaussian noise at the output of the detector will be poly-Rice. The multidimensional probability distribution density of the output processes of the nonlinear signal envelope detector is also obtained. The results of modeling the found distribution densities are presented. It is shown that the use of the poly-Gaussian representation of signals and noise, as well as the impulse response of the system, makes it possible to effectively analyze inertial systems in the time domain.
Conversion of DC Armature Winding into Multi-Phase AC Winding
Authors: Chubraeva L I , Timofeyev S S 
Published: November 2021

Abstract
The paper is dedicated to the principles of transformation of a rotating armature of DC machine into a rotating AC armature of a reverse-type AC alternator, which represents finally the major part of a model brushless exciter. The methodology of this conversion is based on main principles of the theory of electrical machines [1, 2].
Simulation of Rare Events in Stochastic Systems
Authors: Kabanov A A , Dubovik S A 
Published: November 2021

Abstract
The paper presents algorithms for simulation rare events in stochastic systems based on the theory of large deviations. Here, this approach is used in conjunction with the tools of optimal control theory to estimate the probability that some observed states in a stochastic system will exceed a given threshold by some upcoming time instant. Algorithms for obtaining controlled extremal trajectory (A-profile) of the system, along which the transition to a rare event (threshold) occurs most likely under the influence of disturbances that minimize the action functional, are presented. It is also shown how this minimization can be efficiently performed using numerical-analytical methods of optimal control for linear and nonlinear systems. These results are illustrated by an example for a precipitation-measured monsoon intraseasonal oscillation (MISO) described by a low-order nonlinear stochastic model.
Power Supply of Mariculture Complexes
Authors: Loshchenkov V V , Knyazhev V V 
Published: November 2021

Abstract
The authors have developed a complex for the cultivation of marine aquatic organisms, including a coastal fry breeding plant and marine plantations in the water column on the deep-sea shelf, installed with a bottom anchor. The autonomy of the plant and marine plantations is ensured by the automation of technological processes with energy supply from renewable sources. The development is based on the task to expand the capabilities of mariculture by creating autonomous automatic installations for growing marine aquatic organisms with remote dispatch control and management. This solution provides the possibility of placement away from the coast and automatic program selection of the optimal immersion depth of cultivated aquatic organisms to intensify the growth of aquatic organisms and escape from the storm, and service by standard methods of the fishing fleet without diving operations. Solving this problem will increase the efficiency and scale of mariculture in food production and introduce into practice autonomous biotechnical systems for biological treatment of sea areas exposed to anthropogenic impact.
Determination of the Average Specific Capital Consumptions of CCPP with Gas Turbine of 30-125 MW and Put into Operation at TPPs of the Russian Federation from 2015 to the First Quarter of 2021
Authors: Stepanova E L , Sushko S N , Ovchinnikov A P 
Published: November 2021

Abstract
Research was carried out on the volume of gas turbine commissioning in the range of unit capacities of 30–125 MW at TPPs of the Russian Federation operating as part of a CCPP in the period from 2015 to the first quarter of 2021. The purpose of the research was to determine the average specific capital investment in construction and the average specific fuel consumption for the supply of electricity and heat for the CCPP introduced over the years in the united energy systems of the Russian Federation. Gas turbines are classified by electrical capacity into three groups: from 100 to 125 MW, from 60 to 99 MW and from 30 to 59 MW. An assessment of the quantitative distribution of gas turbines over the interconnected energy systems of the Russian Federation has been carried out. The results of the comparison of the quantitative commissioning of gas turbines are shown in the period from 2010 to the economic crisis of 2014 and in the period from 2015 to the present. A preliminary estimate of the increase in average specific capital investments in the construction of CCPP, which included gas turbines of the same electric power, was made for these periods.
Modeling the Structure and Processes of Heat Transfer in Beds of Aluminum Micro- and Nanopowders
Authors: Zarichnyak Yu P , Ivanov V A , Marova A A , Nikolaev I N , Khodunkov V P 
Published: November 2021

Abstract
A model of the structure and a method for calculating (forecasting) the thermal conductivity of beds from coarse to nano-dispersed aluminum powders are developed. A significant change in the thermal conductivity of the particles themselves was taken into account during the transition from the micro-meter to the nanometer-sized range of particle sizes. The thermal conductivity was calculated over a wide range of particle sizes, granular structure skeleton porosity, and total porosity of the beds.
Kinematic Model of a Desktop Robot Manipulator with 5 Degrees of Freedom
Authors: Rubleva E A , Mudrich A B 
Published: November 2021

Abstract
Robotics became available to everyone and is becoming a part of almost all aspects in our life. If earlier robotic complexes were produced mainly for industry and were expensive, large, and cumbersome to design and use, today a number of compact and inexpensive robots have been created. A desktop robot manipulator is a full-fledged assistant for the housekeeping or small business companies which can perform routine operations: carrying objects over a short distance, tightening screws and nuts, soldering PCBs, cutting products, 3D printing, drawing on any surface. To solve problems involving work in open space without additional artificially created obstacles, the manipulator needs only 5 degrees of freedom. The present article describes a kinematic model for a desktop robot manipulator, which solves the problems of process positioning a desktop robot manipulator with 5 degrees of freedom.
Method and Algorithm for Estimating the Maximum Total Error of an Automotive LiDAR
Authors: Romanova M A , Mamchenko M V 
Published: November 2021

Abstract
The article proposes a method and an appropriate algorithm for estimating the error of the measurements of the LiDAR as a technical measurement system to “include” this evaluation in the given accuracy. A generic model for the LiDAR’s measurements is described, a mathematical model of the measurements with the total values of random and systematic errors is given. Based on this method the algorithm for estimating the maximum total error (not exceeding the accuracy of the measurement) is formed. The algorithm complies both with the mathematical description presented in the article, and the methodology described in Russian standard GOST R 8.736-2011. On the basis of the calculated estimate of the weighted average error, it is possible to construct a technical device, that provides a three-fold reserve in terms of measurement accuracy.