bluuebunny/crossref_metadata_2025_split huggingface dataset:
Energy Efficiency of Buildings in Arctic Regions of the Russian Federation
Authors: Kuznetsov N , Morozov I 
Published: November 2021

Abstract
This article considers a pressing issue to be addressed by those responsible for the energy efficiency management in the Arctic Regions of the Russian Federation. It presents examples of successful solutions to related problems that can be used by energy efficiency program developers in specific regions. This article reviews the introduction indicators for energy-efficient technologies and the specific consumption values for thermal energy. The monitoring of energy-saving and improvement of energy efficiency across the economic sectors is performed using the specific consumption values of fuel and energy resources. The main causes of the excessive consumption of thermal energy include the maladjustment of heating systems, excessive consumption of hot water in hot water supply systems, low heat-proof properties of the structural surfaces of buildings, and heat losses during heat carrier transport due to the low quality of pipeline insulation.
Resolving of Overlapping Asymmetrical Chromatographic Peaks by Using Wavelet-Transform and Gram-Charlier Peak Model
Authors: Bochkarev A V 
Published: November 2021

Abstract
The paper describes a method for resolving overlapping asymmetric peaks that make up a chromatogram. The presented method uses the Gram-Charlier model in the form of the first three terms of the Gram-Charlier series as a basis. Using the wavelet transform, the parameters of this model are determined, which is used to describe a single or overlapping chromatographic peak. Hermitian wavelets of the first four orders are used in the computation of the wavelet transform. To speed up the computation of multiple wavelet transforms, the possibility of coding a signal using the Chebyshev-Hermite functions is considered in order to further restore the set of wavelet transforms simultaneously. According to the presented method, the parameters of the peaks are determined by analytical expressions without using the numerical approximation of the chromatogram by the peak model, which avoids the disadvantages of the numerical approach. The resulting method is used to resolve overlapping asymmetric peaks. The advantage of the method over others is shown by calculating the area of each of the resolved peaks.
Organizing Interactions Between a Robotic Manipulator and a Technological Equipment Control Panel
Authors: Kim N V , Zhidkov V N , Polyansky V V 
Published: November 2021

Abstract
Algorithms for the organization of standalone operation of a robotic manipulator have been considered in this Article. The controls on the control panel of a man-made equipment piece have been the manipulated object. A robotic manipulator fitted with a control system, and a machine vision system, have been the subsystems under study. The robotic manipulator interacts with the objects to switch on and off a toggle switch, turn a rotary switch, press on a pushbutton, etc. Manipulating the objects in question involves assessing of their positions and orientations, which is achieved through the machine vision system. Coordinated operation of the subsystems is required to plan and to implement control of the manipulator, while taking into account positions of the objects relative to each other. A configuration of interactions between the manipulator and the control panel, a method for organizing coordinated functioning of the machine vision system when manipulating controls, which includes assessing positions of the object of interest relative to the robotic manipulator, and an algorithm for planning control based on artificial neural network technology have been presented in this Article.
The Transition to Energy Efficient Biomass Torrefaction Technology
Authors: Shevchenko A L , Sytchev G A , Zaichenko V M 
Published: November 2021

Abstract
Torrefaction or low-temperature pyrolysis makes it possible to obtain high-quality solid biofuel from various types of biomass (peat, wood and agricultural waste, various types of biowaste) for the needs of distributed energy. The creation of energy supply systems based on local fuel and energy resources is a priority task for Russian Federation. The article presents the results of research on the development of a new method for energy utilization of biomass by torrefaction.
Development of the Test Bed for Experimental Investigation of Autonomous Current Supply System
Authors: Chubraeva L I , Timofeyev S S 
Published: November 2021

Abstract
The test bed is intended for investigations of autonomous current supply system and its individual units and testing of the correspondence of the system to the demands of the wind power alternator with high-temperature superconductive field winding. The test bed configuration is based on module principles thus accelerating the adapting of experimental equipment for quite definite tasks. The test bed contains serial equipment and a number of units specially developed for the definite test program. Some of specially developed modules are presented in the paper.
Formation of Scientific Foundations of Technosphere Safety Among Students of the Direction of Training "Electric Power and Electrical Engineering”
Authors: Bulgakov A B , Vashchuk S P , Panshin R A 
Published: November 2021

Abstract
The article deals with issues related to the formation of scientific foundations of technosphere safety in the training of students and specialists in the field of electric power industry. Technosphere safety in the field of electric power engineering should be formed on the theoretical basis of the subjects of ecology and life safety.
The New Directions on Development of Renewable Energy Systems
Authors: Nefedova L V , Solovyev D A , Bushuev V V , Zaicheneko V M 
Published: November 2021

Abstract
In this article, the authors offer their assessment of the current state and ways of development of electricity and heat generation systems in the world and the Russian Federation, considering the development prospects of renewable energy systems. The results of neural prediction based on the correlation of a set of heterogeneous data inputs are presented. Forecasting and comparing of renewable energy sources and other energy sources makes it possible to identify their strengths and weaknesses and find their optimal combinations in the overall structure of the future energy sector.
Methodological Approach to the Innovative Development of an Isolated Energy
Authors: Tarasov A E 
Published: November 2021

Abstract
Isolated energy systems serve, as a rule, enterprises of the mining and oil and gas industries with cities and towns. The fight against climate change, which began more than 50 years ago, was marked by the adoption in 2015 of the Paris Agreement on Climate [1] within the framework of the UN Framework Convention [2] and was further developed in Europe - the climate program Fit for 55 was adopted in the European Union [3]. According to the provisions of this program, it is assumed that the climate policy will be toughened by 2030 and 2050. It is planned to achieve zero greenhouse gas emissions into the atmosphere, create an updated system for trading greenhouse gas emissions and introduce cross-border taxes on carbon dioxide emissions starting from 2023 for the supply of goods to the EU countries. Extensive development and lack of modernization of existing isolated energy supply systems will negatively affect the economic attractiveness of the extracted minerals due to increased costs of electricity generated and a tangible cross-border tax on greenhouse gas emissions. The article analyzes methodological approaches to the choice of an innovative way of modernization and the creation of an isolated medium-power power system.
Experience of Using EasyEDA to Develop Training Boards on the PIC16f887 Microcontroller
Authors: Abdrakhmanov V Kh , Salikhov R B , Popov S A 
Published: November 2021

Abstract
A brief overview of computer-aided design (CAD) systems widely used in Russia is presented, and the main requirements for tracing PCB boards are given. The main features of the actively developing cloud CAD system EasyEDA are shown, and the expediency of its use is justified. The idea of creating low-cost electronic training boards based on the PIC16F887 microcontroller for studying the basics of microprocessor technology is presented. Electronic training boards demonstrate all the capabilities of the microcontroller – the operation of the I/O ports, serial port, analog-to-digital converter( ADC), with a two-line liquid crystal display (LCD), with temperature sensors, with a DC motor, with a stepper motor, etc. The experience of developing a budget electronic training boards based on a PIC microcontroller in EasyEDA, which can be used to study the programming of microcontrollers, is shown. Shown are the possibilities of using the jlcpcb.com service to order PCB boards in the largest PCB prototyping enterprise in China, called JLCPCB.
Vector Simulation of Deep-Bar Induction Motor
Authors: Korobeynikov B A , Oppakhodzhaev A M , Sidorov D I 
Published: November 2021

Abstract
The paper considers a mathematical model of a deep-bar induction motor with a squirrel-cage rotor in the generalized vector coordinates.
The transition from the induction motor mathematical in the phase coordinate system to the motor’s vector model in the generalized vector coordinates is shown, which allows obtaining a simpler induction motor model applicable for the analysis of steady-state and transient modes. A new approach to simulating a motor in the form of an electric circuit is not only inductances but also complex resistances interconnected.
Managing Methods Development for the Production Assets of Thermal Power Plants in Conditions of Insufficient Statistical Data
Authors: Lisin E M , Parshina A S , Vasilyeva A A 
Published: November 2021

Abstract
The paper is devoted to the proposal of a method for making managerial decisions on the replacement of production assets of TPPs in conditions of insufficient statistical data on failures and changes in the technical state of an equipment. It is proposed to use a probabilistic method to predict the period of replacement of production assets, based on the formation of a hypothesis about the law of distribution of equipment failures and its reaching the limit state, which determines the stock of possible operating time of a production asset. As an economic criterion for the period of replacement of a production asset, the use of an indicator of production profitability is considered, the advantage of which is the ability to make a decision to change equipment before the expiration of the life resource in the event of an unsatisfactory economic result of its operation, which is critical in solving the problem of ensuring the economic sustainability of TPPs. In the absence of an investment resource for the replacement of a production asset, it will be possible to recommend the conservation of an ineffective asset, which will minimize economic losses.
Estimation of Human Biomechanics during Registration with a Wearable Device
Authors: Grecheneva A V , Dorofeev N V , Goryachev M S 
Published: November 2021

Abstract
In article research of human biomechanics is carried out in the case of registering his movements using a single accelerometer, which is located in a wearable device. Mobile phones, smart watches or fitness bracelets can act as a wearable device. It should be noted that the research is oriented at evaluating biomechanics using a mobile phone, but the results obtained in the form of algorithms and a general approach can be transferred to cases of using other wearable devices.
Requirements for the Procedure for Assessing the Operator’s Person When Processing Accelerometer Data
Authors: Grecheneva A V , Dorofeev N V , Goryachev M S 
Published: November 2021

Abstract
The article considers the possibility of biometric authentication based on gait parameters, which are obtained after intelligent processing of the accelerometer data of a wearable device. The article discusses the main trends and trends in the field of biometric authentication, as well as authentication by gait parameters. The developed neural network algorithm and informative parameters are described in the authentication procedure based on the data of a single sensor of a portable device. The practical verification of the proposed approach is carried out on 32 subjects of different physiology. The results of the study show the possibility of distinguishing their own movements in 100% of cases, and the distinction of the subjects is more than 90%. Also, the final part of the article provides the requirements for the authentication procedure when processing accelerometric data of gait biometrics, the level of trust of the developed algorithm is determined.
Evaluation of the Comparative Efficiency of CCGT in Variable Modes
Authors: Garievskii M V 
Published: November 2021

Abstract
The purpose of the research is to select the priorities for the development of various types of power plants and to substantiate the structure of generating capacities. An improved method has been developed for the selection of priorities for the development of various types of power plants, taking into account the service life and economic performance of the main equipment of power plants in variable modes based on equivalent operating hours. The influence of variable modes of combined-cycle gas installations on the service life of the main equipment (steam and gas turbines) is studied. The comparative efficiency of CCGT-450 in variable modes is calculated, taking into account the wear of the main equipment. As a result of calculations, it was found that with the minimum forecast prices for natural gas, the most efficient power plant (among those considered) is combined cycle power plant, which provides the lowest prime cost of electricity when operating in the base mode and the least increase in the prime cost of electricity when operating in an alternating mode.
Mathematical Emergency Response Model of Rescue Services
Authors: Maximov A V , Matveev A V , Zavodskov G N 
Published: November 2021

Abstract
The growing number of incidents and emergencies around the world is raising the issue of security. To improve security, states allocate huge amounts of money, both to support rescue services, and for scientific research in this area. The article reveals an approach to the development of a mathematical model of the rescue services functioning, taking into account the relationship between its individual types of forces and means, allowing simultaneous optimization of various types of material and human resources.
Interval Approach to Magnetotelluric Data Processing
Authors: Lavrukhin A A , Tukanova A S 
Published: November 2021

Abstract
The article presents a new approach to estimate the frequency characteristics of the impedance tensor for processing magnetotelluric data. The approach is based on the applying of interval analysis methods when solving a system of linear equations. As a reference method, to compare with, a combined robust algorithm is used (with discarding data by the coherence criterion, median estimating, and weighting least squares method). This algorithm is compared with the results of the proposed interval computational algorithm that is based on the method of J. Rohn, implemented in the intvalpy Python library. Computational experiments on the data processing were performed using natural magnetotelluric field data. The interval approach can be successfully applied to the processing of magnetotelluric data.
Modeling the Influence of the Edge Electrostatic Effect on the Transformation Function of Thin-Film Quasi-Differential Capacitive Sensitive Elements
Authors: Mikhailov P G 
Published: November 2021

Abstract
Capacitive sensing elements are the main components of capacitive measuring transducers, which determine most of the metrological characteristics and operational parameters of sensors. First of all, capacitive sensing elements ensure the temporal and parametric stability of sensors, which are the main operational characteristics in such areas as rocket and space and aviation technology, the nuclear industry, in which the instability of sensors and measuring systems based on them can lead to high financial and human losses. etc. At the same time, compensation for lateral capacitive couplings and electrostatic leaks are very important issues, since small changes in capacitance when measuring physical quantities can lead to uninformative measurements in the presence of distortion of electrostatic fields in a capacitive sensing element. In this regard, it is necessary to take into account and simulate the stray fields of electrostatic fields and their influence on measurements.
Determination of the Probability Density Function of the Mixture Signal and Additive Noise under Influence of Multiplicative Noise
Authors: Artyushenko V M , Volovach V I 
Published: November 2021

Abstract
Issues related to effect of multiplicative (modulating) (otherwise amplitude distortions) and additive noises on processed signal are considered. Analysis of statistical characteristics of probability density function (PDF) of instantaneous signal values against background of modulating interference is carried out. Expressions of the joint PDF envelope, phase and instantaneous signal values are obtained, for the case of only phase distortions, as well as the case when fluctuations in amplitude and phase are independent of each other. It is noted that in the second case, with the independence of phase and amplitude distortions, the PDF of the signal, first of all, is determined by the PDF of its instantaneous values and practically does not depend on the PDF of the signal phase. Expressions are obtained for the PDF useful signal and the most common PDF envelope when affecting the signal with modulating noise for deep phase distortions and for its uniform distribution over the interval (0, 2π). In addition, for the case of some functional relationship of phase and amplitude fluctuations, the expression for PDF instantaneous signal values is defined. The presence of such a functional connection allows calculating the PDF of the signal through the statistical characteristics of its envelope. It is obtained that PDF of mixture of signal and additive noise contains arbitrary distribution of phase and amplitude, as well as arbitrary law of distribution of envelope of processed signal. It is obtained that weight coefficients are determined by derivative of characteristic function of amplitude distortion in case when PDFs of said mixture are distributed according to normal law and functional connection exists between amplitude and phase distortions.
Investigation of the Emission Higher Harmonics into the Generator Grid
Authors: Yaroshevich V V , Karpov A S , Fastiy G P 
Published: November 2021

Abstract
The article considers a section of the grid with generator voltage busbars (GRU-10 kV) of one of the hydroelectric power plants HPP-I of a large cascade HPP, which supplies electricity to an aluminium plant via two busbars. It is described that the plant load includes converter units, including: transformers, bridge rectifier blocks and saturation chokes, which are powerful sources of harmonic disturbances. An overview of the developed model and the principles of its construction for studying the influence a powerful non-linear load on the generator is given. Analysis of the results calculations on the model showed that the load of an industrial enterprise creates current and voltage distortions in the electrical s not only of the plant itself, but also in urban grids, and on the busbars of the generator voltage HPP-I. The article analyzes the influence of the current effects of a large industrial enterprise load in asymmetric modes on hydrogenerators by evaluating torsional vibrations and tangential vibrations in generators. It is shown that tangential forces of double frequency (100 Hz) practically do not create significant vibration displacements when the natural frequency of the frontal parts basket is adjusted.
Prospects for Generative - Adversarial Networks in Network Traffic Classification Tasks
Authors: Asyaev G D 
Published: November 2021

Abstract
The paper presents an approach that allows increasing the training sample and reducing class imbalance for traffic classification problems. The basic principles and architecture of generative adversarial networks are considered. The mathematical model of network traffic classification is described. The training sample taken to solve the problem has been analyzed. The data proprocessing is carried out and justified. An architecture of the generative-adversarial network is constructed and an algorithm for generating new features is developed. Machine learning models for traffic classification problem were considered and built: Logistic regression, k Nearest Neighbors, Decision tree, Random forest. A comparative analysis of the results of machine learning models without and with the generation of new features is conducted. The obtained results can be applied both in the tasks of network traffic classification, and in general cases of multiclass classification and exclusion of unbalanced features.
Trajectory Plotting Algorithm for a Self-Driving Road Grader
Authors: Sukharev R Yu 
Published: November 2021

Abstract
The deployment of self-driving technologies occurs in various industries and economic sectors. Self-driving taxi cabs can be found in city streets, in Russia as well as in other countries. The introduction of self-driving technologies in construction, namely, construction machinery, is a promising area that will develop rapidly in the nearest few years. A road grader is the construction machine whose control algorithms resemble those of selfdriving cars the most. One of the first development stages for the self-driving road grader is trajectory plotting.
This article presents the developed trajectory plotting algorithm for the road grader taking into account its design features (minimum turn radius).
Advanced Immersive Capabilities in Virtual Reality Applications Using IMU Sensors
Authors: Kurzaeva L V , Novikova T B , Kornev R , Majorov P E , Borovskikh D I 
Published: November 2021

Abstract
The rapid development of virtual and augmented reality technologies today takes place in almost all areas of activity. The relevance of the study is due to the modern demand for developers to use the latest technologies in the field of game development. Currently, technology is becoming more popular, ensuring that the player is immersed in virtual reality. One of these technologies is a suit with wearable sensors that track the position of a person in space in real time. However, this technology is quite young, but has already gained popularity due to its extensive use capabilities and combinations with other game gadgets. Therefore, at the moment there is a problem of no examples of application development using this technology. This article demonstrates the possibilities of a suit with wearable sensors when creating an entertainment application.