bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ways of automation and optimization of measuring instruments
Authors: Nektegyaev G G , Borisov A I 
Published: May 2020

Abstract
The article deals with the problem that forms the basis of automation of measurements and control, and reduction of time for control operations. Completely new requirements that should be presented to modern systems of measuring instruments are identified and described. The generalized structural diagram of the measuring instrument, which is common to any measuring instrument, is analyzed and the main automation tasks are identified. Particular attention is paid to the main functional tasks that automated measuring instruments should perform. The relevance of systematic approach to the creation of the production process using automated measuring instruments is analyzed. At the end of the article, it is shown that when using a systematic approach to creating modern production processes, it is possible to solve the problem of high-quality manufacturing of products by increasing the number of measurements and obtaining more complete data on the properties of products.
Technical and economic feasibility of the on-board location system application for the aircraft and satellite communication system
Authors: Kovalev I V , Andronov A S , Kartsan I N , Karaseva M V 
Published: May 2020

Abstract
The paper considers the joint application of the Iridium satellite communications system as well as the GLONASS and GPS satellite navigation systems that corresponds to the CNS/ATM concept. The originality of the proposed detection method is in constant communication between an object and a control center. The method can be applied to both manned and unmanned aircrafts. In any case, a control center can quickly respond to deviations of the trajectory of an object, or to an operation of accelerometers at critical overloads. The paper examines the advantages of introducing the Iridium satellite radio navigation system into the aviation sector to monitor aircrafts in both manned and unmanned aircrafts. Technical and economic advantages are given on the example of various search and rescue operations.
A model for generation a motion-blurred image of a radiating object’s shadow from a series of high-quality images
Authors: Galagan R , Muraviov A , Tomashuk A 
Published: May 2020

Abstract
The paper proposes a model of the reconstruction process for a series of images of the shadow casted by radiating cylindrical object and diffraction pattern from a motion-blurred image generated by an optical device at unequal speeds of an object’s movement and image generation by the device. Using the proposed model, methods and their software implementation, separate images of the shadow of the radiating objects and diffraction patterns were generated in order to obtain a motion-blurred image, which can later be stored in a database and used as a template for recognizing the trajectory and speed of an object’s movement, measuring its individual parameters, etc. The proposed model and methods can be improved and used in the future to optimize the optical monitoring system for the parameters of the radiating cylindrical objects, such as wire or optical fiber in the high-temperature process of their manufacture. Heated wire with a diameter of 200 microns made of NiCr alloy and carbon fiber with a diameter of 7 microns were used as the test objects for carrying out experiments.
Automation of air-conditioning systems with controlled microclimate in the Russian penitentiary system
Authors: Kiryanov A Y , Fokin R V , Vidov S V , Tkalich S A 
Published: May 2020

Abstract
The global development of information technology is increasingly integrated into all spheres of human life and is no exception to the technological field in which one of the most promising is the development of air conditioning systems with controlled microclimate. This study discusses some aspects of climate control using programmable logic microcontrollers. This study improves the efficiency of the use of air traffic control systems in the penitentiary system of the Russian Federation through the use of modern achievements of science and technology. The article presents two options for using different levels of automation in climate control systems in closed rooms of the Russian penitentiary system, depending on the volume of production, the algorithms of the climate control system are considered.
Virtual NOx-emission sensors for robust aero engine automatic control system
Authors: Kuznetcova T A , Avgustinovich V G 
Published: May 2020

Abstract
Modern robust control systems use built-in mathematical models for estimation of unmeasured by the direct methods parameters such as NOx emission. The two models of NOx emissions virtual sensor built into the smart controller of an aero engine low-emission combustion chamber are proposed in this study. A stochastic nonlinear mathematical model is based on the Zeldovich equation. It applies the superposition principle of NOx production in diffusion and homogeneous flames. Probability density distribution functions of the air-fuel mixture concentration in these flames take into account both of a spatial non-uniformity of the mixture composition and a harmonic component of the acoustic waves generated by the heat release. The NOx generation rate is averaged over the fuel flow through diffusion and homogeneous flames based on the probability density distribution function. An exponentiality of a decrease in the generation rate along the length of the combustor space is proposed. The concept of integral relations models has been developed with the use of numerical modeling of spatial and temporal non-uniformities of the air-fuel mixture concentration (4D-metamodeling) and available experimental data. Another virtual sensor model is based on the neural network. A well-known approach of NOx emissions prediction used in monitoring systems of gas turbine power plants is applied. The example of a neural network and results of its training on a real combustion chamber is presented. It is shown that the two or three-layer neural network having 20… 30 neurons provides an acceptable error (not exceeding 10%) of the NOx emission display and can be used as a virtual emission sensor in an engine control system. The normalized level of NOx emission per take-off and landing cycle is considered as a target function of the automatic control of low-emission combustion. The estimation of the level of NOx emission by a built-in virtual sensor is proposed for robust aero engine automatic control.
Automation of full-scale regression testing of radio monitoring equipment
Authors: Bizyukov P E , Radchenko D S , Tokarev A B , Matveev B V , Povetko V N , Slinchuk S A 
Published: May 2020

Abstract
Modern means of radio monitoring (RM) are complex hardware and software systems based on SDR (Software-defined Radio) technology. The software (SW) modernization of RM complexes requires the parallel work of large teams of developers. Introducing insufficiently coordinated changes in the software is accompanied by the risk of conflicts, failures and other side effects in the long-used software elements. In this case, failures do not always manifest themselves on mathematical models of systems, and sometimes they are found only in the framework of field tests. Delays in detecting such failures can significantly slow down the process of software modernization; therefore, it is very important for developers of RM tools to have a mechanism for the fastest and most accurate detection of problem situations that accompany the operation of equipment in real-life conditions. Recommendations on the creation of a mechanism for regression testing the performance of RM tools are given in this article. This mechanism is based on the development of a set of tests for a system that automatically controls both the item to be checked and the monitoring, signal-generating and measuring equipment, and is capable of interacting with the interface modules of the RM complexes without operator intervention. It is shown that the proposed testing methodology allows several times reducing the time spent searching for problematic situations of the functioning of RM in real operating conditions.
Designing and producing a geographic information system to forecast vegetation fire danger according to weather conditions
Authors: Glagolev V , Bazhenov R , Povkh I , Chuyko O , Dolmatova O 
Published: May 2020

Abstract
The article is concerned with the research and development of a geo information system for forecasting fire danger according to weather conditions. A structured approach is used to introduce the workflow process of the system in IDEF0 technique: generating data files/array, assessing the current fire danger, a spatial fire danger forecasted information and fire breaking-out, verifying the forecast index reliability and fire probability. The two-tiered architecture of a distributed data system and functional modules consisting of presentation logic, domain logic and database logic is focused on. Generation of meteorological data arrays is organized in a hypercube form and rated values of fire danger index. The surface planes of a hypercube include the month of fire danger season as well as the title and index of the weather station number, meteorological parameters and fire danger characteristics. The system is tested in the territory of the Jewish Autonomous Region in order to construct fire probability maps according to weather conditions using the developed geographic information system based on MapInfo Professional 15 and programming environments MapBasic and RAD Studio Delphi 2010. Forecast verification of fire danger index of three days lead-time amounts to 85% on the first day, it is 80%on the 2nd day, they are 70% and 65% on the third and fourth days respectively. The probability of vegetation fires in the territory of Birobidzhan subdivision of the JAR Forest Department is calculated depending on weather conditions. The forecast success rate is 75%.
Using image processing to improve semaphore communication
Authors: Spenkov K A , Nikitin O R , Zhigalov I E , Dubov I R , Pozdnyakov A D 
Published: May 2020

Abstract
Currently, the training of semaphore communication of younger signalmen on ships has been canceled due to a lack of hours for training. However, according to statistics, a quarter of accidents at sea occur due to a lack of coordination between vessels. They are due to the complexity of using radio links in close interaction, when a ship can get into the “dead zone”. An alternative may be optical communication. At the same time, signal floodlights are not always visible in bright sunshine. An alternative is semaphore communication. This article discusses the possibility of replacing the signalman with technical means using digital image processing. The main issue under consideration is the use of RGB color histograms to determine the transmitted signal.
Method of hiding the architecture and configuration of the sensor network based on the dynamic topology
Authors: Kushko E A , Parotkin N Y 
Published: May 2020

Abstract
Sensor network usually refers to a wireless distributed self-configuring network that consists of sensors and execution units and is designed for machine-to-machine communication, automation, machine diagnostics, telemetry task solving. Sensor networks differ from other networks by the ease of use and deployment, low maintenance requirements, fault tolerance, and reliability. Every year, sensor networks, which are usually used in industrial systems, are increasingly exposed to malicious attacks. Although some sensor network communication protocols support encrypted connections, the nature of node data exchange allows attackers to identify key nodes and possible attack vectors. In this paper we present a method of hiding the architecture and configuration of the sensor network, which allows to protect against compromise not only the nodes involved in data exchange, but also the transmitted data. This method does not interfere with the attacker’s actions, but significantly complicates network traffic analysis, so that the intruder cannot carry out an attack because of the lack of data on network structure and configuration.
Asymptotic secrecy of the information protection by the usage of simple integer splitting method
Authors: Alhussain Amanie Hasn 
Published: May 2020

Abstract
The integer splitting method is a special method that is used to encrypt the text. In this method, each text character is represented as an integer in accordance with the selected code table after that this integer is replaced on the base of another number with a sequence of k integers (k-splitting level) and this is performed by the usage of modular arithmetic. This article studies the property of asymptotic secrecy of the simple integer splitting method when it is used in the field of cryptography; the research is conducted from the point view of the hacker. The purpose of using integer splitting method is to increase the level of security and provide the ability to control the degree of protection of information. So a lemma was proven in this article and as a conclusion we can notice that the more usage of the splitting level leads to the more level of safety and protection of information.
New information technologies in the estimation of stationary modes of the third type systems
Authors: Grigorenko V V , Bashkatova Yu V , Shakirova L S , Egorov A A , Nazina N B 
Published: May 2020

Abstract
More than 70 years ago, W. Weaver introduced the classification of all systems of nature. A special place in this classification was allocated to the third type systems, which (as was proved over the past 20 years) do not possess statistical stability. For such systems, it is proposed to construct pairwise comparison matrices of samples that demonstrate the lack of their homogeneity. In this regard, new invariants and new models are introduced to describe the stationary modes of the third type systems and their kinematics (motion) in state phase space. The parameters of the pseudo-attractors are calculated.
Classification of handwritten digits using the Hopfield network
Authors: Belyaev M A , Velichko A A 
Published: May 2020

Abstract
The paper presents the results of the classification of handwritten digits from the MNIST database using the Hopfield network. A strong correlation of training binary patterns does not allow the use of the standard Hebbian learning method. The application of the Storkey learning method increases the capacity of associative memory, and the optimized pattern binarization threshold and pattern size reduce the correlation of patterns. By optimizing these parameters, a network achieved a classification accuracy of 56.2% on a set of validation data used for network training. The selection of the optimal binarization threshold for a separate set of test images increased the classification accuracy to 61.5%.
Vision system for detection of defects on apples using hyperspectral imaging coupled with neural network and Haar cascade algorithm
Authors: Balabanov P V , Divin A G , Egorov A S , Yudaev V A , Lyubimova D A 
Published: May 2020

Abstract
The article is devoted to the development of algorithms for detecting defective apples transported on a roller conveyor using a vision system. In developing the algorithms, the possibility of classifying various regions of interest (intact and damaged by rot, scab, codling moth, as well as the conveyor) by the principal component method was investigated. When choosing the optimal spectral region for cluster analysis, spectrograms obtained in various spectral ranges, including Vis-NIR (400–1000 nm), NIR (780–1000 nm), and Vis (400–780 nm) were used. The PCA method showed that for the successful classification of the conveyor area, intact, decayed and damaged by the codling moth, it is necessary to use spectrograms in the Vis-NIR range. To classify these ROIs, it was proposed to use a direct distribution neural network with two hidden layers of 128 and 64 layers, respectively, the “relu” activation function in the hidden layers and the “softmax” activation function in the output layer. The optimal network configuration was determined experimentally. This configuration showed a classification accuracy of 0.847 on a test sample of 6,000 apples. Since the samples of spectrograms of scab and stem regions do not differ, for their classification in parallel with the neural network, it was proposed to use the Haar cascade classifier trained on 2000 two-dimensional images of apples in the visible region containing scab and stem regions. The classification accuracy was at least 0.95. The developed algorithm is intended for use in the robotic sorting of apples.
Differential parameter method of aircraft flight simulation in aviation virtual electronic proving grounds
Authors: Bestugin A R , Filin A D , Kirshina I A 
Published: May 2020

Abstract
The study has been carried out to justify and choose an optimal method of aircraft flight simulation when designing virtual electronic proving grounds. A differential parameter method and algorithm of a set aircraft flight path simulation has been proposed based on the target status word assignment corresponding to each simulated aircraft and the joint implementation of a set of Euler’s dynamical equations.
Transformation of types of signs for a task of the regression analysis
Authors: Narzullaev D Z , Abdurakhmanov B A , Baydullaev A S , Ilyasov Sh T , Shadmanov K K 
Published: May 2020

Abstract
Today there are a large number of methods and analysis algorithms of data for solution of problems of image identification, automatic classification, component, correlation and regression analysis which in case of availability of data of the different type nature become inapplicable because they are intended only for processing of quantitative information. The approach to solution of this problem named conversion of types of signs for a problem of regression analysis is described in the offered article. At the same time conversion of type of signs is presented in the form of the separate task allowing to pass from not quantitative signs to quantitative ones and in further processing to use all range of traditional methods of the analysis of an original information. The offered algorithm is implemented in integrated environment of working out of the of Delphi 10 Seattle software.
Development of LANE software for the modelling complex engineering systems in aerospace
Authors: Rakov Dmitry 
Published: May 2020

Abstract
The article deals with the modelling the complex engineering systems in Aerospace on pre-conceptual design stage. It has been established that the analytical dependence for the modelling do not fully satisfy the modern requirements for the accuracy of calculations and can lead to large errors. This suggests a lack of methodological security of modelling in the preconceptual design. The developed software LANE is a sequential process of iterative procedures of the modelling, decomposition, analysis and synthesis new complex engineering systems in Aerospace.
Mathematical model of distributed registry architecture based on cloud and fog technologies
Authors: Vorobyev S P , Shirobokova S N , Evsin V A 
Published: May 2020

Abstract
The formalized statement of the problem of the distribution of computing and information resources for storing and processing data, as well as the provision of services at the levels of the cloud and fog systems within the framework of optimizing the multi-level topology of the computing network of the distributed registry system from cloud and fog computing paradigm, is presented. The possibility of using a multi-level representation of the topological structure to determine the optimal network architecture of a distributed registry system based on cloud and fog computing using the genetic algorithm for a fractal model of information traffic is shown, in particular, the results of an experiment to minimize response time from the number of generations for Poisson and fractal models are presented traffic.
Development of the formal model of the optical recognition mechanism for tabular documents
Authors: Rabin A V , Petrushevskaya A A 
Published: May 2020

Abstract
The article describes the tasks of the optical recognition system for tabular documents and the development of a formal model of the optical recognition mechanism for tabular documents. The aim of the study is to use the developed system of automatic analysis of platform-type documentation as expert and training to support decision making, semantic analysis or audit of any content, including in other industries based on the principle of automatic filling of ontologies. The proposed system will allow to overcome this barrier in a cardinal way – by automatically creating a database. In this case, the user’s role will be reduced to the choice of sources for filling ontologies (the choice of thesauruses, corpus of texts in machine-readable or natural language, etc.) and the configuration of inference rules, i.e., essentially, to the configuration operations.
Optical diagnostics fractal structures: methodical aspects
Authors: Korolenko P , Ryzhikova Yu 
Published: May 2020

Abstract
The properties of fractal structures defined by complex functions are tested. The amplitude-phase characteristics and spatial spectra of probing light beams are considered. An important methodic aspect of spectral analysis of structures with fractal geometry is the ability to expand the range of information obtained by parallel amplitude and phase processing. In deciphering the Fourier images of fractals, one can use the discovered fact that the intensity maxima and phase singularities coincide. As a positive point, it should be noted a high degree of the spatial spectrum stability to the influence of optical noise. The registered degree of asymmetry of the Fourier image structure can be used to determine the level of phase disturbances in the initial light field. The performed work expands the knowledge of factors requiring consideration in the optical diagnostics of fractal objects.
Interaction between convective cloud systems and the Earth’s surface
Authors: Turko S Yu , Vlasenko M V , Trubakova K Yu , Khnyckin A S 
Published: May 2020

Abstract
The nature of interaction between electric fields in convective cloud systems with the underlying surface is considered. Differences in charge potentials at different points of the Earth are indicated. Modern theories about the appearance of positive and negative charges in clouds, about the development of lightning and places of their destruction are presented. Data on the influence of cloud systems depending on the properties of the Earth’s surface are presented. It is established that the interaction of cloud systems with the earth’s surface depends on the electrical properties of clouds. This interaction depends on the following factors: humidity, density, temperature, chemical and mineralogical composition, soil particle composition, structure, nature and properties of the soil solution.