bluuebunny/crossref_metadata_2025_split huggingface dataset:
Gesture localization in the test mode in the integral system of sign language training
Authors: Grif M G , Lukoyanychev A V 
Published: November 2019

Abstract
The article is devoted to the integral system of sign language training. The operation modes of the system based on 3D computer avatar are considered. The user’s feedback using the system is carried out in the test mode using a standard webcam. The user must demonstrate the word or dactyl specified by the system. The problem of gesture localization in the user test mode is considered. The algorithm for the rapid clustering of human hand gestures in a video sequence is proposed. The background removal is based on finding of the inter-element difference for the frames of a video sequence, the selection of the key frames and calculating difference frames. The use of the modified histogram method allows localizing the gesture. The experimental results show the stable operation of this algorithm in different light conditions. This approach allows using developed system both on stationary computers and on mobile devices.
Trainable wavelet-like transform for feature extraction to audio classification
Authors: Ilyashenko I D , Nasretdinov R S , Filin Y A , Lependin A A 
Published: November 2019

Abstract
A method of learning optimal orthonormal filters for feature extraction from 1-D signal based on learning wavelet-like transform was proposed. Filters had been learned by using backpropagation simultaneously with neural network, which was used as a classifier. Orthonormality of filters during the learning process was provided by several quadratic regularization terms that follow from the orthogonality of the scaling functions. The proposed method was evaluated on the environmental sound classification task. We used the trainable wavelet-like transform and wavelet transform with different bases as feature extraction methods with fixed architecture of the neural network. The proposed method obtained the best results. The spectrum characteristics of learned filters of wavelet-like transform were compared with the corresponding characteristics of reverse biorthogonal wavelet basis rbior1.5 that obtained the closest accuracy results.
Determination of distributions of key physical parameters of plasma jet particles by means of image stream processing during high-speed video filming
Authors: Jordan V I , Kobelev D I 
Published: November 2019

Abstract
During the filming by a high-speed video camera, the images of a particle flux moving in a plasma jet during the spraying of powder coatings on machine parts are recorded. The distributions of key physical parameters of particles in the flux cross sections of the plasma jet with the help of algorithms of the filtering and selection of the particle tracks from the images are computed. The distribution of the particle velocities along the jet axis was computed. The processing of the image stream with a small frame exposition time allowed determining the particle bulk density distribution along the plasma jet axis. As a result of images processing for cross section at the end of the flux the dependence of differential density distribution of particles vs. orientation angle of their tracks directions relative to the flux axis has been obtained.
SDC-method of large deviations analysis for nonlinear system
Authors: Kabanov A A , Dubovik S A 
Published: November 2019

Abstract
The paper presents a new method of large deviations analysis for nonlinear systems in the form of state-dependent coefficients. The large deviations of the controlled process from some regular state is the basis of forecasting of the critical situation. The forecasting problem is reduced to the Lagrange-Pontryagin optimal control problem. The presented approach to state-dependent coefficients for the solution of Lagrange-Pontryagin problem is different from the approach used before for linear cases in the fact that it uses a control in the form of feedback instead of programmable control. This eliminates the need to calculate the boundary value in the final time point for the conjugate variable, which is the most time-consuming task in nonlinear cases. An example of using the presented approach to the problem of vessel tilting prediction is considered.
Segmentation of colour image using fuzzy sets concept
Authors: Khamdamov R Kh , Saliev E A , Mirzaev N M , Ibragimova S.N. 
Published: November 2019

Abstract
The article deals with the problem of segmentation of digital images, which is one of the main tasks in the field of digital image processing (IP) and computer vision. To solve this problem, an algorithm was proposed based on the use of a concept based on the theory of fuzzy sets. The main idea of the proposed algorithm is the formation of subsets of interconnected pixels based on the fuzzy-to-mean method. A distinctive feature of the proposed algorithm is the definition of a set of features that define areas with similar characteristics in the space of the characteristic features of the analyzed image. The proposed segmentation algorithm (SA) consists of two stages: 1) the formation of characteristic features for all channels of the base color; 2) clustering of image elements. The practical significance of the obtained results lies in the fact that the developed models of algorithms can be used in various applied problems, where the classification of objects represented as images is provided. To test the efficiency of the developed algorithm, experimental studies were carried out in solving a number of applied problems related to color image segmentation, in particular, license plate recognition problems.
Time series forecasting method based on genetic algorithm for predicting the conditions of technical systems
Authors: Kureychick V M , Kaplunov T G 
Published: November 2019

Abstract
The pragmatic aim of this paper is to provide a genetic algorithm for predicting the technical systems state. The research novelty is to represent the genuine approach to forecast the technical systems states. The given approach implies finding future values by extrapolating current observation results. Forecast can be considered as a diagnostic control at zero-time extrapolation, or as a general case of diagnosis. The developed genetic algorithm is based on the classical representation of genetic algorithms with the changes required for forecasting. So, a function that validates alternative solutions outlaying from the geometric representation of the average values of the time series plot is exploited as a fitness function. The method based on the use of Shewhart process-behavior charts is also applied to exclude failures of the sensor collecting measured data and to control the mutation. The algorithm performs a prediction for one time interval ahead for processes that are not affected by external factors or processes, or the influence of external factors on which is not significant within one time interval. Our experiment confirmed the efficiency of the suggested algorithm. It resulted in obtaining a predictive solution.
Research algorithms for the analysis of transient’s traction DC networks
Authors: Malozyomov E V , Zhigalov K Yu , Alchinov A I , Proskuryakov N A 
Published: November 2019

Abstract
Oscillograms make it possible to determine parameters of transient processes and analyze operation of protection systems. The article analyzes changes in current rates under various modes of operation of the traction network. When studying emergency processes, it is advisable to analyze disconnections of circuit breakers recorded by digital devices.
Solution of task on the minimum cost data flow based on bionic algorithm
Authors: Poluyan A Yu , Purchina O A , Fugarov D D , Golovanov A A , Smirnova O V 
Published: November 2019

Abstract
The paper presents the solution of task on the minimum cost data flow in static and dynamic setting based on evolutionary algorithms. The distinctive feature of the algorithm is the use of joint evolution, choice of evolution models (use of micro-, macro- and metaevolutions), adjustment to external environment, hierarchical management of genetic and evolutionary search, local search of solutions and application of all modified genetic operators based on evolutionary strategy and search methods. The paper illustrates the example of task on the recommended data flow and a method of adjusting the data transfer process to recommended parameters.
Model, algorithm and computer application for automated selection of varieties and hybrids of grain crops
Authors: Pykhtin A I , Gostev A V 
Published: November 2019

Abstract
Under the conditions of modern high-tech agricultural production, there is a need to develop tools contributing to the scientifically based selection of adaptive varieties and hybrids, considering agrotechnological and soil-climatic features specific for each individual agricultural system. Their development and further implementation in agriculture will contribute to stable and profitable yields of grain crops. Solving this problem, issues related to the definition of criteria that accurately describe the characteristics of the conditions and the degree of their impact on cultivated varieties and hybrids of grain crops are of great importance. The process of cultivar changing due to the changes of climatic, environmental, economic and other conditions is quite common in agriculture and therefore, there is an obvious need of agricultural producers for development of such software. As a result of the research work, a concise mathematical model, an algorithm, a database structure and software were developed to enable obtaining a list of most appropriate varieties/hybrids of main grain crops for the conditions of the European part of the Russian Federation on the basis of user-defined parameters (depending on the selected grain crop). The software was designed in the form of a Web-application accessible from any device connected to the Internet, and the program interfaces were fitted for personal computers, tablet devices and smartphones. The application allows flexible configuration to add new crops, varieties (hybrids) and parameters without changing the source code of the program modules.
Recurrent algorithm for calculation of value of formal derivative of polynomial over Galois field and its hardware implementation
Authors: Rahman P A 
Published: November 2019

Abstract
Within the scope of this scientific paper the formal derivative of the polynomial over the Galois field GF(pm
) and a formula for calculation of the formal derivative are considered. Calculation of the formal derivative of the polynomial is used in the decoding algorithm of the information frames during application of the Reed-Solomon codes, which are widely used in the data transmission and storage systems with the data redundancy. The definition of the formal derivative of polynomial over the Galois field GF(pm
) and the recurrent algorithm offered by the author for calculation of the value of the formal derivative of the polynomial over the Galois field GF(pm
) with a given argument are also presented. Finally, the hardware implementation of the offered calculation scheme for the case of binary Galois field GF(2
m
) is also given.
Enhanced pushdown automaton for recognizing multi-syntax programming languages
Authors: Kuznetsov A S , Tsarev R Y , Yamskikh T N , Knyazkov A N , Zhigalov K Y , Oguntade Adebanji 
Published: November 2019

Abstract
Software used to digitize manufacturing operations should provide high degree of reliability, since its failure may cause downtime or disruption of the production process and, as a result, financial losses. One of the approaches to improve software reliability is N-version programming where data processing is performed by different functionally equivalent software components which source code can be written in various programming languages with a number of distinguishing syntactic properties. This paper presents an abstract device for recognizing multi-syntax programming languages. The synthesized device can be used for the development of language translators for N-version software systems.
System analysis of the features of using information models in shipbuilding
Authors: Novikov A V , Barmin A A , Mudrova A A , Yasinskaya Yu V 
Published: November 2019

Abstract
One of the important tasks of the modern stage of development of the shipbuilding industry is the creation of an information model of the vessel and its systems using CAD, PDM, PM, PLM and ERP automated design systems for pre-production. The information model of the vessel and its systems is the most important step in the presentation of data about the ship in digital form during the design and preparation of its construction. Due to the fact that in the Russian shipbuilding industry there is still no common understanding of what the “ship information model” is, according to the authors, it is required to disclose this concept and determine the need to create and use the ship information model at all stages of the ship’s life cycle. The article provides a brief overview of computer-aided design systems used at enterprises in the shipbuilding industry, shows the advantages of using the ship’s information model over paper documentation, lists obstacles to the development of the ship’s information model as an optimization basis at all stages of the ship’s life cycle when all participants in the cooperation interact.
Computer analysis of the thermal state of the object after cryotherapy
Authors: Yerezhep D , Yemelyanov A , Kuznetsov Y , Perminov A , Pronin V , Minikaev A , Yerezhep A 
Published: November 2019

Abstract
In this work, experimental data are presented that allows one to estimate the relative amount of heat release. It also provides the opportunity to state the general tendency of its change over time for patients with various individual characteristics of the organism. An important indicator of safety and effectiveness of cryotherapy is the temperature of the skin surface Tk, which should not fall below -2 °C during exposure. It is also planned to propose a method for studying the dynamics of Tk and heat flux from the human body using a thermoelectric module (TEM). The paper evaluates the experimental data on the TEM current changes during and after cryotherapy. Also, dynamics assessment of heat flow during cryotherapy is given and the possibility of evaluating Tk will be shown. It is planned to get an overall picture of the process of heat exchange of the measuring device with the skin of the test object. The results allow us to make recommendations regarding the duration and intensity of cryotherapy.
Method for calculation and control of parameters of the cluster pumping station with autonomous power supply and thermal water-gas impact on the reservoir
Authors: Igtisamova G R , Nosirov D Sh 
Published: November 2019

Abstract
An increase in the oil recovery rate is a crucial problem for the national energy industry. This paper discusses improvement of energy production and management of technical systems through the use of exhaust gases of internal combustion engines. To implement this method, a cluster pumping station (CPS) with an autonomous power supply, thermal and water-gas impact on the formation was used. The article considers water saturation with carbon dioxide and its heating to increase oil recovery and prevent harmful combustion products from being released into the atmosphere. All the associated gases enter the heat engine turning mechanical energy into electrical one. Exhaust gases released from the heat engine are not emitted into the atmosphere. Using a smoke exhauster, they enter the mixing heat exchanger. In the mixing heat exchanger, water is heated and saturated with carbon dioxide. Then it enters the well which increases oil recovery, prevents air pollution and reduces greenhouse gas emissions.
Dynamic model of the electromagnetic oscillating system with energy losses
Authors: Neyman L A , Neyman V Yu , Elanakova V A 
Published: November 2019

Abstract
The relevance of the research lies in the need to improve the accuracy of dynamic calculations of electromagnetic oscillating systems used in technical systems for the generation of vibrations with a frequency of up to 100 Hz. The research considers the solution of the problem of creating an accurate dynamic single-mass oscillating system with an electromagnetic drive that characterizes the different operation modes and allows a comprehensive analysis of electromechanical processes by means of structural modeling methods. The distinctive feature of this model is the ability to take into account the nonlinearity of the magnetic circuit, leakage fluxes, properties of elastic linkages, viscous friction and sliding friction, external influence and energy losses of electrical and mechanical nature in an electromagnetic oscillating system. To solve the problem of calculating the magnetic field, the standard finite-element modeling FEMM software was used. To calculate the dynamic part of the problem, the calculation algorithm was developed that was implemented by means of structural modeling method in Matlab Simulink software environment. By the example of calculation of periodic electromechanical processes in the electromagnetic oscillating system, the possibilities of the model for a comprehensive analysis of operation processes are considered. According to the results of the research, recommendations for improving the accuracy of calculations of electromechanical processes were obtained.
Project-based learning technology as means of self-development for a prospective specialist in automated machine building
Authors: Saigushev N Y , Vedeneeva O A , Melekhova Yu B , Savva L I , Kashuba I V 
Published: November 2019

Abstract
This article studies self-development of a prospective specialist in automated machine building as the key personal feature in the course of his professional formation in the higher education system. Information-based learning technologies assist in the formation of the creative approach to understanding professional activities among students and develop their independence of thought and the ability to make optimum situation-specific decisions. Project-based learning technology serves as an effective means of professional self-development for a prospective specialist in automated machine building.
Resource-saving electromechanical transmission of the mining truck
Authors: Vasilev B U , Grigorev P S , Mardashov D V 
Published: November 2019

Abstract
The subject of the research is the electromechanical transmission of a mining truck, which provides all modes of movement of this type of mining equipment. The purpose of the work is to develop an electromechanical transmission of a mining truck that meets high requirements for unification and reliability, ensuring resource saving during its creation and exploitation. The main task is the optimal choice of the electromechanical transmission components, as well as the study of their influence on each other. Math methods and simulation modeling in the mathematical package of applied programs were used to perform the study of the developed electromechanical transmission. A complex simulation model has been created, it includes: a source of electricity; frequency converter (amounting to the active rectifier (energy converter and excitation device) and autonomous voltage inverters); asynchronous motors. The simulation model is equipped with blocks of oscillography and analysis of electrical variables of an electromechanical transmission. The study of the simulation model of an electromechanical transmission shows the strict correspondence of the speed characteristics of both drive engines and the mining truck. The vehicle accelerates to the rated speed at full load, braking on a slope, and turning. The electrical parameters of the electromechanical transmission correspond to the task, the control of variable drive engines in all modes of operation is provided at the proper level.
Algorithms and features of diagnosing of electric furnaces electrodes based on electrical technologies
Authors: Myatezh A V , Grechneva M V , Zhigalov K Yu 
Published: November 2019

Abstract
The paper highlights methods of nondestructive testing and their use to diagnose solid media of graphite electrodes applied in steel furnaces for identification of different defects. The main focus of the paper is to consider the methods of eddy-current testing of graphite electrodes. Besides, it presents the possibility of increasing the sensitivity of the method and localization of the place of potential damage. The practical importance of the paper includes simulation modelling of electromagnetic processes with further description of detailed results and conclusions.
High-precision frequency synthesizer for geophysical and biotechnical measurements using laser meter
Authors: Rybushkin A. Yu. , Fomin Yu. N. , Zhmud V.A. , Vasil’ev V.A. , Kusyakin N.A. , Semibalamut V.M. , Dimitrov L.V. 
Published: November 2019

Abstract
The paper describes a frequency synthesizer for expanding applications and improving the accuracy of a laser device for measuring ultra-small displacements. Such devices are used to measure Earth’s crust deformations. The specified device allows measuring the increment of lengths based on 25 m in two mutually orthogonal directions. Year-round use of such device in an observatory tunnel inside a mountain, such as, for example, in the Talaya Observatory near Lake Baikal, allows for detailed recording of Earth’s crust deformations by studying the long-term and relatively short-term components of these vibrations. The main use of these results consists in registering a nonstandard change in the deformations, which can serve as a precursor of earthquakes, which causes the highest relevance of these studies. The device contains two lasers tied to each other in frequency with a frequency difference defined from the outside. The binding is carried out by a phase locked loop system, and a reference sample oscillator forms the external frequency. For some applications, the highest accuracy of the frequency tuning of the reference oscillator is required, which is achieved only by using a frequency synthesizer specially designed for this purpose. The paper describes the main circuit solutions for this synthesizer and the results of its use as part of the specified high-precision laser gauge of displacements and deformations of Earth’s crust.
Simulation-dynamic model for calculating the equipment leasing
Authors: Boyko A A , Kukartsev V V , Tynchenko V S , Korneeva A A , Kukartsev V A , Mikhalev A S 
Published: November 2019

Abstract
The article presents a simulation-dynamic model for calculating leasing payments for leased equipment. The model was developed based on the system dynamics method using Powersim Studio tools. In the model, the calculations were carried out for financial leasing, regressive payment schedule and the method of minimum deductions. The model was used as a tool to study options for leasing payments with linear and non-linear deprecation methods, with a multiplying factor-accelerated depreciation. As a result of experiments with options, various amounts of leasing payments (depreciation, loan payments, commission fees, total leasing payments, etc.) were received. The conducted study allows us to conclude that the constructed simulated dynamic model is quite universal and on its basis, it is possible to carry out a variety of studies concerning various aspects of equipment leasing.