bluuebunny/crossref_metadata_2025 huggingface dataset:
Multi-parameter identification of gratings measurement by Experimental Ray Tracing
Authors: Chen Li-Si , Hu Zhong-Wen , Jiang Hai-Jiao , Kang Hui-Min , Wang Chen-Zhong
Published: December 2021

A simple method for measuring grating groove density as well as its position and orientation is proposed based on the idea of ERT (Experimental Ray Tracing). Conventional methods only measure grating groove density with accuracy limited by its rotary stage and goniometer. The method proposed in the paper utilizes linear guides which could be calibrated to much higher accuracy. It is applicable to gratings of arbitrary surface profile or mosaic of a group of various gratings. Various measurement error sources are simulated by the Monte Carlo method and the results show high accuracy capability of grating parameters identification. A verification testing is performed. The accuracy dependency on main configuration parameters is evaluated. A method to expand measurement range by double wavelength is also discussed.
Observational results of MUSER during 2014–2019
Authors: Zhang Ming-Hui , Zhang Yin , Yan Yi-Hua , Wang Wei , Chen Lin-Jie , Tan Cheng-Ming , Ma Su-Li , Huang Jing , Chen Xing-Yao , Tan Bao-Lin , Zhou Zhichao , Liu Fei , Geng Li-Hong , Li Sha , Du Jing , Su Cang , Chen Zhi-Jun , Cheng Jun
Published: December 2021

The solar radio signal that can be received by the ground-based telescopes covers a wide frequency range, allowing us to monitor the complex physical processes occurred from the solar surface to the vast interplanetary space. MingantU SpEctral Radioheliograph (MUSER), as the latest generation of solar dedicated radio spectral-imaging instrument in the centimeter-decimeter wavelengths, has accumulated a large number of observational data since its commissioning observation in 2014. This paper presents the main observational results identified by MUSER from 2014 to 2019, including the quiet Sun and 94 solar radio burst events. We find that there are 81 events accompanied with Geostationary Operational Environmental Satellites (GOES) soft X-ray (SXR) flares, among which the smallest flare class is B1.0. There are 13 events without accompanying any recorded flares, among which the smallest SXR intensity during the radio burst period is equivalent to level-A. The main characteristics of all radio burst events are presented, which shows the powerful ability of MUSER to capture the valuable information of the solar non-thermal processes and the importance for space weather. This work also provides a database for further in-depth research.
On detecting stellar binary black holes via the LISA-Taiji network
Authors: Chen Ju , Yan Chang-Shuo , Lu You-Jun , Zhao Yue-Tong , Ge Jun-Qiang
Published: December 2021

The detection of gravitational waves (GWs) by ground-based laser interferometer GW observatories (LIGO/Virgo) reveals a population of stellar binary black holes (sBBHs) with (total) masses up to ∼ 150M
⊙, which are potential sources for space-based GW detectors, such as LISA and Taiji. In this paper, we investigate in details on the possibility of detecting sBBHs by the LISA-Taiji network in future. We adopt the sBBH merger rate density constrained by LIGO/VIRGO observations to randomly generate mock sBBHs samples. Assuming an observation period of 4 years, we find that the LISA-Taiji network may detect several tens (or at least several) sBBHs with signal-to-noise ratio (SNR) > 8 (or > 15), a factor 2 − 3 times larger than that by only using LISA or Taiji observations. Among these sBBHs, no more than a few that can merge during the 4-year observation period. If extending the observation period to 10 years, then the LISA-Taiji network may detect about one hundred (or twenty) sBBHs with SNR> 8 (or > 15), among them about twenty (or at least several) can merge within the observation period. Our results suggest that the LISA-Taiji network may be able to detect at least a handful to twenty or more sBBHs even if assuming a conservative SNR threshold (15) for “detection”, which enables multi-band GW observations by space and ground-based GW detectors. We also further estimate the uncertainties in the parameter estimations of the sBBH systems “detected” by the LISA-Taiji network. We find that the relative errors in the luminosity distance measurements and sky localization are mostly in the range of 0.05 − 0.2 and 1 − 100deg2, respectively, for these sBBHs.
Iron group nuclei electron capture in super-Chandrasekhar superstrong magnetic white dwarfs
Authors: Liu Jing-Jing , Liu Dong-Mei
Published: December 2021

Using the theory of relativistic mean-field effective interactions, the influences of superstrong magnetic fields (SMFs) on electron Fermi energy, binding energy per nucleus and single-particle level structure are discussed in super-Chandrasekhar magnetic white dwarfs. Based on the relativistical SMFs theory model of Potekhin et al., the electron chemical potential is corrected in SMFs, and the electron capture (EC) of iron group nuclei is investigated by using the Shell-Model Monte Carlo method and Random Phase Approximation theory. The EC rates can increase by more than three orders of magnitude due to the increase of the electron Fermi energy and the change of single-particle level structure by SMFs. However, the EC rates can decrease by more than four orders of magnitude due to increase of the nuclei binding energy by SMFs. We compare our results with those of FFNs (Fuller et al.), AUFDs (Aufderheide et al.) and Nabi (Nabi et al.). Our rates are higher by about four orders of magnitude than those of FFN, AUFD and Nabi due to SMFs. Our study may have important reference value for subsequent studies of the instability, mass radius relationship, and thermal and magnetic evolution of super-Chandrasekhar magnetic white dwarfs.
Discovery of 2716 hot emission-line stars from LAMOST DR5
Authors: Shridharan Baskaran , Mathew Blesson , Nidhi Sabu , Anusha Ravikumar , Arun Roy , Kartha Sreeja S. , Kumar Yerra Bharat
Published: December 2021

We present a catalog of 3339 hot emission-line stars (ELSs) identified from 451 695 O, B and A type spectra, provided by LAMOST Data Release 5 (DR5). We developed an automated Python routine that identified 5437 spectra having a peak between 6561 and 6568 Å. False detections and bad spectra were removed, leaving 4138 good emission-line spectra of 3339 unique ELSs. We re-estimated the spectral types of 3307 spectra as the LAMOST Stellar Parameter Pipeline (LASP) did not provide accurate spectral types for these emission-line spectra. As Herbig Ae/Be stars exhibit higher excess in near-infrared and mid-infrared wavelengths than classical Ae/Be stars, we relied on 2MASS and WISE photometry to distinguish them. Finally, we report 1089 classical Be, 233 classical Ae and 56 Herbig Ae/Be stars identified from LAMOST DR5. In addition, 928 B[em]/A[em] stars and 240 CAe/CBe potential candidates are identified. From our sample of 3339 hot ELSs, 2716 ELSs identified in this work do not have any record in the SIMBAD database and they can be considered as new detections. Identification of such a large homogeneous set of emission-line spectra will help the community study the emission phenomenon in detail without worrying about the inherent biases when compiling from various sources.
Non-uniform temperature distribution of the main reflector of a large radio telescope under solar radiation
Authors: Wei Shan-Xiang , Kong De-Qing , Wang Qi-Ming
Published: December 2021

The non-uniform temperature distribution of the main reflector of a large radio telescope may cause serious deformation of the main reflector, which will dramatically reduce the aperture efficiency of a radio telescope. To study the non-uniform temperature field of the main reflector of a large radio telescope, numerical calculations including thermal environment factors, the coefficients on convection and radiation, and the shadow boundary of the main reflector are first discussed. In addition, the shadow coverage and the non-uniform temperature field of the main reflector of a 70-m radio telescope under solar radiation are simulated by finite element analysis. The simulation results show that the temperature distribution of the main reflector under solar radiation is very uneven, and the maximum of the root mean square temperature is 12.3°C. To verify the simulation results, an optical camera and a thermal imaging camera are used to measure the shadow coverage and the non-uniform temperature distribution of the main reflector on a clear day. At the same time, some temperature sensors are used to measure the temperature at some points close to the main reflector on the backup structure. It has been verified that the simulation and measurement results of the shadow coverage on the main reflector are in good agreement, and the cosine similarity between the simulation and the measurement is above 90%. Despite the inevitable thermal imaging errors caused by large viewing angles, the simulated temperature field is similar to the measured temperature distribution of the main reflector to a large extent. The temperature trend measured at the test points on the backup structure close to the main reflector without direct solar radiation is consistent with the simulated temperature trend of the corresponding points on the main reflector with the solar radiation. It is credible to calculate the temperature field of the main reflector through the finite element method. This work can provide valuable references for studying the thermal deformation and the surface accuracy of the main reflector of a large radio telescope.
Four New Eclipsing Binary Systems in the TESS field: CD-34 13220, HD 295082, TYC 6484–426–1 and TYC 6527–2310–1
Authors: Ulaş Burak
Published: December 2021

We present the first evidence for the binarity of four targets in the TESS field. The temperatures are estimated by SED analysis and the orbital periods are determined. The TESS light curves of the systems are analyzed and the orbital and the absolute parameters are derived. The targets are also compared to well-studied binary systems with the same morphological type and their evolutionary states are discussed. Our results indicate that the stars belong to the class of eclipsing detached binary systems.
Matrix inference and estimation in multi-layer models*
Authors: Pandit Parthe , Sahraee-Ardakan Mojtaba , Rangan Sundeep , Schniter Philip , Fletcher Alyson K
Published: December 2021

We consider the problem of estimating the input and hidden variables of a stochastic multi-layer neural network (NN) from an observation of the output. The hidden variables in each layer are represented as matrices with statistical interactions along both rows as well as columns. This problem applies to matrix imputation, signal recovery via deep generative prior models, multi-task and mixed regression, and learning certain classes of two-layer NNs. We extend a recently-developed algorithm—multi-layer vector approximate message passing, for this matrix-valued inference problem. It is shown that the performance of the proposed multi-layer matrix vector approximate message passing algorithm can be exactly predicted in a certain random large-system limit, where the dimensionsN×dof the unknown quantities grow asN→ ∞ withdfixed. In the two-layer neural-network learning problem, this scaling corresponds to the case where the number of input features as well as training samples grow to infinity but the number of hidden nodes stays fixed. The analysis enables a precise prediction of the parameter and test error of the learning.
Path integral based convolution and pooling for graph neural networks*
Authors: Ma Zheng , Xuan Junyu , Wang Yu Guang , Li Ming , Liò Pietro
Published: December 2021

Graph neural networks (GNNs) extend the functionality of traditional neural networks to graph-structured data. Similar to CNNs, an optimized design of graph convolution and pooling is key to success. Borrowing ideas from physics, we propose path integral-based GNNs (PAN) for classification and regression tasks on graphs. Specifically, we consider a convolution operation that involves every path linking the message sender and receiver with learnable weights depending on the path length, which corresponds to the maximal entropy random walk. It generalizes the graph Laplacian to a new transition matrix that we call the maximal entropy transition (MET) matrix derived from a path integral formalism. Importantly, the diagonal entries of the MET matrix are directly related to the subgraph centrality, thus leading to a natural and adaptive pooling mechanism. PAN provides a versatile framework that can be tailored for different graph data with varying sizes and structures. We can view most existing GNN architectures as special cases of PAN. Experimental results show that PAN achieves state-of-the-art performance on various graph classification/regression tasks, including a new benchmark dataset from statistical mechanics that we propose to boost applications of GNN in physical sciences.
Modeling of automatic control system for air supply to a bio-reactor using fuzzy control
Authors: Lubentsov V F , Shakhrai E A , Lubentsova E V
Published: December 2021

The stages of modeling the automatic control system (ACS) for air supply to aeration with the use of fuzzy control are considered. The investigated control algorithm is based on the combination of a nonlinear controller with approximating control (CAC), whose parameters are corrected using fuzzy logic. The algorithm for correcting the CAC parameters for transient and steady state modes is based on the application of two simple rulebases (RB) with three and five linguistic terms, respectively. As a result, the required speed in the transient mode and accuracy in the steady state mode are provided. It is proved that switching the RB according to the logic of the multi-mode system is less demanding on the number of rules, structure and setting parameters of the membership function than using the extended RB. The differences between the proposed ACS with different BP for the main operating modes of the system are shown. These include: improvement of quality indicators due to the implementation of different BP in different modes; more rigorous justification of the mechanism for ensuring insensitivity to the switching moments of BP when changing modes due to the CAC of the direct circuit of the ACS. Effective implementation of the stages of ACS modeling and fuzzy controller design is possible using the Fuzzy Logic Toolbox system of the Simulink MATLAB modeling environment.
Influence of spacers on mass transport in electromembrane desalination systems
Authors: Kovalenko A , Evdochenko E , Stockmeier F , Köller N , Uzdenova A , Urtenov M
Published: December 2021

In electromembrane desalination systems, ion transport near ion exchange membranes induces inevitable concentration polarization, which complicates mass transport. To mitigate the effect of concentration polarization and increase mass transport, spacers which promote mixing and change the flow velocity distribution in the channel. The authors investigated the effect of several spacers (from one to three) on the electromembrane system and varied the size and shape of the spacers, distance to the membranes and flow rate. It has been shown that the presence of spacers actually makes it possible to redistribute the speed and direction of the flow in the system and to increase the current efficiency. The article analyzes the impact of the spacers in the distant exorbitant conditions on mass transport and electroconvective vortices. In the article, we calculated and compared the current-voltage characteristics in the ohmic region, the “plateau” region and overlimiting region for channels with and without spacers. The work investigates fundamental laws depending on the location, size and number of spacers. This paper investigates the effect of non-conductive spacers. It has been shown that, for example, the presence of several spacers (three) near the center of the channel, slightly shifted towards the anion-exchange membrane, increases the mass transport by about 24% -25%. In addition, the influence of spacers on the emergence and development of electroconvective vortices has been studied.
Modeling of the tunnel kiln control system taking into account the features of the pid controller and fuzzy logic
Authors: Tseligorov N A , Chubukin A V , Naser A K , Olkhovatov D V , Tseligorova E N
Published: December 2021

Taking into account the non-linear, time-varying temperature characteristics of the tunnel kiln, high inertia and some uncertainty of its parameters, it’s difficult to create an accurate mathematical model and get an acceptable set of the controller of the control system. The asynchronous motor actuator of the system, which regulates the amount of gas and air to change the temperature, gives the system first-order a statism. A conventional PID controller does not provide the required quality parameters of temperature control in the entire possible range of changes in the parameters of the controlled object. Thus, the synthesis of an additional fuzzy PID controller is required to ensure the required quality of regulation. Of course, PID control and fuzzy intelligence will provide effective self-tuning of the parameters of controlled PID controllers. A simulation experiment in Matlab shows that fuzzy PID control reduces the time and magnitude of overshoot, effectively increasing the stability of the system by giving it robustness properties.
Reliability in mechanical systems projects
Authors: Manshin Yu P , Yu Manshina E
Published: December 2021

Sufficient safety of the parts, which determines the safety of the system specified by the technical assignment, is the necessary quality of the project, the subject of the design engineer’s attention and the customer’s requirement. An extensive task is the collection of data for iterative refinement of the resource for project details in a probabilistic aspect. It can be significantly reduced when using approximate methods for estimating the resource at intermediate stages of refining the project to the required resource with a calculated probability of failure-free operation. Thus, by the analysis of dimensionless relations of parameters of models of fatigue damage development, it is possible to obtain tools of numerical estimation of technological and constructive techniques of increase of a resource of details and their rational combination. The paper deals with the numerical measures of various directions of upgrading the fatigue life of the parts, derived from the dimensionless relations of the parameters of fatigue damage development models.
Magnetic-centrifugal drying of compressed air of pneumatic systems of machine-building enterprises
Authors: Totay A , Galyuzhin S , Galyuzhin A
Published: December 2021

The article analyzes such basic methods of drying compressed air of pneumatic systems of machine-building enterprises as condensation, sorption, diffusion and force action and determines the advantages and disadvantages of each of these methods. It is noted that the method of force action on water particles due to the use of the centrifugal force allows you to remove only droplet moisture, and vaporous moisture remains in the compressed air. With further cooling of the compressed air, condensate reappears in it. Other methods are more efficient, but require consumables or complex devices for drying compressed air, which ultimately leads to an increase in the cost of such devices and an increase in operating costs. Based on the conducted analysis and on the fundamentals of theoretical mechanics, magnetic field theory and molecular physics, a method of magnetic-centrifugal drying of compressed air has been developed. The essence of the method is to use the Lorentz force, which acts on a water particle (a molecule, a dimer, a trimer, etc.) and coincides in the direction with the centrifugal force. When using the safe supply voltage of a 24 V solenoid that creates a magnetic field in which an electrically charged water particle moves, it is possible to increase the radial force (compared to the centrifugal force) acting on this particle by about 70 times. The authors also consider the methods of ionization of water particles that allow knocking out electrons from their outer shells. Experimental studies conducted on a mock-up sample showed a fairly high efficiency of this method, since it was possible to achieve the 3rd class of purity according to ISO 8573-1: 2001.
Research and development of processes of vacuum ion-plasma parts surface treatment
Authors: Sychev A , Kolesnikov I , Voropaev A , Bolshykh I
Published: December 2021

The application of electron-ion-plasma technologies for increasing the service life of machine parts, tools and technological equipment has been investigated. The technology of vacuum ion-plasma surface treatment is proposed for the deposition of coatings, which makes it possible to create internal, external and combined coatings. The manufacturability of coating methods is largely determined by the level of the developed equipment. The entire technological process of deposition of wear-resistant coatings on parts of friction units is carried out in one cycle on a BRV600F vacuum unit, which is equipped with all the necessary technical means. A method has been developed for the technology of obtaining a superhard carbon-metal coating with desired properties, namely, improving the quality of diamond-like films by changing their structure and composition, while the lower layer should have high adhesion to the substrate material, the middle layer should have high hardness and increased wear resistance, and the upper layer should have good thermal conductivity and heat resistance with low coefficient of friction.
Theoretical studies of the “Workpiece-tool” system vibroacoustic dynamics of the turning group woodworking machines
Authors: Kadubovskaya G
Published: December 2021

In the woodworking industry, the issue of noise reduction is one of the fundamental ones. In most cases, it is an indicator of equipment and products quality, in addition, it negatively affects the performance and irritates the nervous system of machine operators. [1]. The cause of noise is the process of cutting tool interaction with wood and it also depends on the type of wood cutting tool. For wood manufacturing, the blade and abrasive cutting tools are used. The blade instrument has a specified number of fixed shape blades and is divided into disk, cylindrical, conical and plate-shaped ones according to the shape of the body. The abrasive cutting tool on the working surface contains an indefinite number of abrasive material particles. [2]. The edge of the cutter interacts with the surface under work, along the entire width, the cutting direction is perpendicular to the cutting edge. With a small cutting depth, this does not cause significant sound vibrations, but with intensive technological modes of the treated surface, this factor is of great importance in generating noise.There are a lot of works devoted to the study of different cutting tool dependence and noise characteristics [3-7]. For example, in [8] it was experimentally proved that the noise level increases by 1-5 dBA with an increase in the number of knives from 2 to 4. This article presents the results of the acoustic system theoretical studies “manufactured workpiece cutting tools” for cantilever fixing of the workpiece of turning group woodworking machines.
Determination of adjusted range corrections measured by electro-optical systems
Authors: Kushtin V I , Ivanov A N
Published: December 2021

Electromagnetic radiation used to determine ranges passes through media with different characteristics that affect the electromagnetic waves propagation speed and, accordingly, the accuracy of distance determination. The problem of the radio signal delay due to the influence of the atmosphere is an urgent problem, the solution of which is currently limited mainly to the calculation of range corrections using various atmospheric models. Depending on the required accuracy, the length of the measured line, the range of zenith distances, the availability of information about the state of the atmosphere, a flat, spherical, ellipsoidal model of atmospheres is used to determine the range corrections. In view of the fact that the parameters of the atmosphere characterizing its state along the electromagnetic wave path at the time of measurement, as a rule, are unknown, it becomes necessary to apply one or another hypothesis about the distribution of atmospheric parameters with height. In this paper, we propose a solution to the problem of determining corrections to the measured ranges from the known parameters of the atmosphere only at the initial and final points of the electromagnetic waves’ trajectory.
Barometric formula for non-isothermal atmosphere
Authors: Bodunov E N , Khokhlov GG
Published: December 2021

A new barometric formula is derived for a non-isothermal atmosphere. It takes into account the dependence of the acceleration of gravity and gas temperature on the height z above the Earth’s surface. When deriving this formula, it was assumed that the dependence of the gas temperature on altitude is due to the heating of the Earth’s surface by the Sun and the subsequent heat transfer of energy from the Earth’s surface to the atmosphere. The proposed formula coincides with the classical barometric formula for an isothermal atmosphere at low altitudes z, takes into account the experimental linear decrease in the temperature of the atmosphere in its lower layers with increasing altitude z and gives a physically correct asymptotics for the pressure (and for concentration) of the gas as z -> oo, namely, the pressure (and concentration) of gas tends to zero faster than exponentially as z -> oo, which ensures the localization of a finite amount of gas near the Earth.
Research of the parameters of acoustic emission signals during the destruction of the liner material and the power shell of a metal-composite high-pressure cylinder
Authors: Erofeev M , Grazion S , Spiryagin V , Koval S
Published: December 2021

To The article provides information on the results of studying the parameters of acoustic emission signals during the destruction of the liner material and micro-plastic of the power shell of a metal-composite high-pressure cylinder. B-200 within the framework of a complex of studies to create an acoustic-emission portrait of metal-composite high-pressure cylinders. It was found that the most informative parameter when carrying out technical diagnostics of a liner is the signal amplitude recorded in the private range of 60-80 kHz, and a sign of microplastic rupture is the emission of acoustic emission signals reaching 82 dB.
The analyses of working process unstable in combustion chamber of ship internal-combustion engine
Authors: Nikitin A , Poberezhnyy V
Published: December 2021

The article considers examples of unstable combustion processes in individual cylinders of marine diesel installations. It is shown that the instability of thermal engineering processes is determined by the grade of fuel, fuel preparation, wear of the cylinder-piston group and fuel equipment. The necessity of continuous monitoring of the technical condition of the power plant during operation is shown.
Smurf as Spoof Type Attacking Activity on Network and Neutralization
Authors: Razumov P V , Cherckesova L V , Safaryan O A , Strubchik I
Published: December 2021

Reliable and timely detection of cyberattacks is becoming indispensable for securing networks and systems. Internet Control Message Protocol (ICMP) flood attacks continue to be one of the most serious threats in both IPv4 and IPv6 networks. There are various types of cybersecurity attacks based on ICMP protocols. Many ICMP protocols are very similar, so security managers might think they might have the same impact on the victim’s computer systems or servers.
Artificial intelligence system for the analysis of theoretical and experimental current-voltage characteristics
Authors: Gudza I V , Kovalenko A V , Kh Urtenov M , Pismenskiy A V
Published: December 2021

Digitalization is one of the development priorities in the global scientific community. Digitalization at this point in time means the introduction of artificial intelligence systems in production, science, economics, management, etc. Artificial intelligence systems have shown their effectiveness in various fields of science and technology, including electrochemistry for such tasks as modeling membrane separation, controlling the variable operation of a simple seawater reverse osmosis plant, etc., however, the study and prediction of theoretical and experimental current-voltage characteristics of electromembrane systems by machine learning and artificial intelligence methods is still practically not carried out. The problem of finding connections between the regularities of changes in the current-voltage characteristics (CVC) and the regularities of the process of salt ion transfer in the electrodialysis apparatus (EDA) desalination channel, the classification of theoretical and experimental CVC depending on the values of the input parameters has not yet been set and investigated, and therefore is a new fundamental problem and an actual practical problem.
Analysis of stochastic system status of electrificated railways based on machine learning
Authors: Bodrov P A , Popova N A , Ganashek A L
Published: December 2021

Stochastic systems are the systems in which changes are random, the predicted values depend on the probability distribution. An example of a stochastic system is a power system, the operation of which is influenced by many random factors, their analysis and control will give an opportunity to control the safe cycle as well as operation reliability. Improving the efficiency and reliability of the energy system is impossible without the development of special monitoring tools and predicting their state.
Integration of MatLab and R with high-level languages using C# and Microsoft Visual Studio as an example
Authors: Krasnovidov A V , Khomonenko A D
Published: December 2021

The paper discusses the technology of integration (providing a single interface of interaction) of different software systems working in a single environment. The levels of integration are indicated, the composition of subtasks (subsystems), which can be solved efficiently using various computing environments, are highlighted. The expediency of joint use of MatLab and R systems with high-level programming languages C ++ and C # is shown due to the limited or lack of tools for creating a convenient graphical user interface for mathematical systems, as well as the weak adaptability of programming languages for mathematical or statistical data processing and solving modeling problems. The aim of the article is to justify the most appropriate technology for integrating MatLab and R with highlevel programming languages to ensure high interaction efficiency and a user-friendly interface for complex mathematical or statistical data processing problems. The analysis of the possibilities and ways of solving the organization of interaction of MatLab and R systems with high-level languages carried out on the example of C # and the Microsoft Visual Studio environment. The possibilities of interaction of the R system and the MatLab system with highlevel programming languages, respectively, are considered. An example of software implementation of the integration of R and MatLab with a C# application is given. The capabilities of the developed program as a whole and the functionality of each of the subsystems used (R, MatLab and applications in C #) are indicated. The most preferable variant of integration of the considered systems - with the use of .NetFramework platform - is singled out. The advantages of using the Common Language Runtime for the implementation of the considered option of integrating R, MatLab and C # applications are noted.
Development of Semantic Analysis Software Tool for Solving Problems of Text Formalization
Authors: Safaryan Olga , Cherckesova Larissa , Korochentsev Denis , Zelensky Alexander , Revyakina Yelena , Chumakov Vladislav , Trubchik Irina , Lobodenko Andrey
Published: December 2021

Problem of safety ensuring of children and underage adolescents in Web–space is becoming increasingly acute. Younger generation information security is the state of children and adolescents protection, in which there is no risk associated with harm to their health and (or) physical, mental, spiritual, moral development from destructive information. This article describes the development of new software product that allows analyzing text from files, Web sites, pages, applications, etc. Analog programs were reviewed; modern text recognition algorithms were described. Screenshots and flowchart of software parts designed functioning for semantic text analysis in Web space are presented. Any Web page is file with extension, and after analyzing, it is possible to evaluate the information and classify it by topics, as well as to determine whether there is destructive content. In the presented study, the software tool was developed for semantic analysis and formalization of text. Exact trigger points from 26 to 30 times evaluate the algorithm functioning. With accuracy of up to 80%, it can be argued that algorithm is suitable for determining the orientation of article and content of ideas expressed in it, taking into account duality of model.
Intelligent control based on ergatic systems in conditions of incomplete and fuzzy information
Authors: Prokopenko E , Martynov B , Magerramov I , Popov O , Fathki D
Published: December 2021

The article deals with the management of human-machine (ergatic) systems in the conditions of digital transformation in relation to their functioning in the presence of NON-factors, such as: uncertainty, complexity, instability, ambiguity. Modern conditions for the formation of the digital economy imply the search and use of a new methodology in the organization of management activities, including the regional level. This process is carried out through the widespread use of human-machine systems with a high level of intellectualization of the machine component, the use of hybrid intelligence and the formation of bionts. We show a variant of classification of ergatic systems, focused on socio-economic systems. We propose a method for choosing a rational alternative to support the management of human-machine systems in the conditions of vagueness and ambiguity of the initial data and approaches to the management quality criteria. A fuzzy approach to a multi-criteria problem is proposed. It leads to a certain combination of fuzzy selection criteria, and to the study of complex systems as a hierarchical structure, with the representation of system elements and its qualitative properties as fuzzy mathematical models, the combination of which will give a mathematical model of the systems.
Mathematical modeling of the influence of non-catalytic dissociation / recombination of water molecules in the desalination channel on electric convection
Authors: Kovalenko A , Gudza V , Urtenov M , Chubyr N
Published: December 2021

The article formulates a two-dimensional mathematical model of non-stationary transport of 1: 1 electrolyte in a potentiodynamic mode, taking into account electroconvection and non-catalytic dissociation / recombination reaction of water molecules in electromembrane systems, which are considered as the desalting channel of an electrodialysis device. The model is described by a system of coupled Navier-Stokes and Nernst-Planck-Poisson equations taking into account the electric force and physically justified boundary conditions. The article establishes the basic laws of mass transport, taking into account the dissociation / recombination of water molecules. It was shown for the first time that a double electric layer of hydrogen and hydroxyl ions arises in the recombination region. It is shown that between the region of recombination and quasi-equilibrium regions of space charge there are regions of electroneutrality and equilibrium with an almost linear distribution of concentrations. It was found that even under prelimiting, but close enough to the limiting current, modes, non-catalytic dissociation of water molecules in the quasi-equilibrium region of space charge occurs so intensely that the concentration of hydrogen and hydroxyl ions becomes comparable to the concentration of potassium and chlorine ions. At overlimiting current densities, due to the appearance of an extended space charge region and intense dissociation of water molecules in this region, as well as an increase in the electric double layer in the recombination region, the space charge and the dissociation / recombination reaction of water molecules significantly affect each other. In turn, this has a decisive effect on electroconvection and, accordingly, on the transport of salt ions.
Methodology of making organizational and technological decisions at the stage of operational management of construction operations based on the forecasting system
Authors: Zelentsov L , Mailyan L , Pirko D
Published: December 2021

The article discusses the issues of forecasting two key parameters of an investment and construction project: time and cost, while the building company is considered as a complex dynamic system. Taking into account the long-term nature of the creation of construction products and, as a consequence, the high level of work in progress, the need to use forecasting models is justified, both at short-term planning intervals (week, month) and at longer intervals (quarter, year). The article examines the formalized forecasting methods, gives a characteristic of the methods most widely used in practice. These methods include forecasting based on ARIMA models. DSTU has developed a pilot software package for an intelligent construction management system, which includes a software package for forecasting the time and cost parameters of a construction object at the stages of operational and current management.
Color detection algorithm for early fire diagnostics
Authors: Ostroukh E N , Privalov M V , Markin S D
Published: December 2021

In the paper as a problem domain was chosen oil mining and its peculiarities related to early fire diagnostics. Main feature of the described method of early fire diagnostics is application of color detection algorithm together with video sequence acquired from survey cameras. Drawback of the known algorithms of fire diagnostics that also use video streams is selection of the only one color of visible spectrum. Proposed algorithm makes frames preprocessing with purpose of white noise and Gaussian noise suppression. Main feature is complex registration of color components of fire images that are specific to chosen problem domain. Described obtained results of practical application of proposed color detection approach. Experiments were carried out using test video sequences from Bilkent University and Dyntex database. It is shown that advantage of the proposed approach is an ability to select different color components and process them in complex during color detection.
Probabilistic approach in solving an optimization problem with application to in physical and technical systems
Authors: Saifutdinova N A
Published: December 2021

The article considers some optimization models with a nonlinear objective function and constraints in the form of equalities and inequalities. The model is considered in two forms – deterministic and stochastic, which allows it to be used to solve various optimization problems in physical and technical systems. The presented stochastic model is based on the inclusion of stochastic parameters into the well-known Cobb-Douglas function. The influence of stochastic variables on the optimal value of the objective function, depending on their distribution type, is analyzed.
Description of multimodal transport networks by means of graph models
Authors: Kotenko A G , Malakhova T A , Shmatkov R N , Tushin N A
Published: December 2021

The main objective of organising multimodal transport is to meet the public’s demand for transport services as much as possible while making the most efficient use of rolling stock. In order to determine the efficiency of a transport system the paper proposes that it should be viewed as a collection of different local transport systems. The issue of organising multimodal transport is related to many aspects of passenger services and rail transport operations (forecasting passenger flows, developing combined train schedules, features of the TH (transfer hub) and station complexes, etc.). The article details the way multimodal passenger chains are represented in the form of graphical models. The goals of using the constructed graphs are defined: solving problems of visualisation and analysis of multimodal transport chains as well as solving the complex problem of optimising the scheduling and planning of vehicle stops at passenger transfer points. It has been shown that the main requirements for organising this type of passenger transport are to minimise the total travel time of vehicles in order to reduce management costs for operators and to maximise the number of passengers carried in order to better meet passenger demand.
A simple seismic input model for estimating the seismic resistance of structures
Authors: Uzdin A M , Sorokina G V , Kurbanov Kh Kh
Published: December 2021

The paper formulates the principles for shaping the design input, in particularly that the design input is not required to be similarto the real input. It is suggested that the seismic input should be set as a sinusoidal segment. This requires that the sinusoid be hazardous to the structure and causes it to reach the same limit state as a real earthquake. The amplitude of the sine wave is set equal to the average value of the peak boosts. The frequency of the exposure is set as dangerous for the structure to be designed and the duration is set according to the frequency of the exposure. The proposed seismic modelling approach makes it possible to assess the potential for progressive collapse and low-cycle fatigue of the designed structure. The model is based on statistical data on past earthquakes to estimate the average level of peak accelerations and the correlation between the prevailing period and the duration of the seismic event. The proposed input model greatly simplifies the computational assessment of seismic stability and the modeling of inputs on the seismic platform.
About the approximation of the tunnel lining deformations according to the measurement results
Authors: Surovin P , Kuznetsov A
Published: December 2021

The article deals with the approximation of the displacements of the points of the tunnel lining contour, obtained, for example, by geodetic survey. In the future, the processed data can be used to calculate the internal forces in the tunnel lining, which will help in monitoring the technical condition of the bearing structures of underground structures. In the article, calculation formulas have been obtained that allow using the measured displacements of the reference points to find the displacements of any point of the lining. Displacements are determined by approximating deformations with periodic cubic splines. To determine the coefficients of splines, it is proposed to apply the common least squares method. A method for calculating the weighting coefficients of basic functions for a spline with an arbitrary step of the nodes is presented. As an intermediate result, analytical dependences were obtained between the Cartesian coordinates of the tunnel lining points and the arc length. In this case, the design data on the radii of curvature of the lining sections and the coordinates of the points of section conjugation were used. It is assumed that the data obtained will increase the information content of the control and can be used to monitor its technical condition of underground structures at all stages of its life cycle.
Study of thin plate bending using the method of holographic moiré
Authors: Popov A , Zinoviev V , Nikolaev S , Sidashov A
Published: December 2021

The development of the technique of applying high-frequency metallized working images to products made of any materials led to the emergence of the holographic moiré method. This method is based on recording holograms in counter beams and is traditionally used to study the displacements in the working raster plane. This paper shows that if, when holograms are recorded, the registering medium is placed at a considerable distance from the working screen surface, then the recorded optical information makes it possible to determine the inclination angles of the surface under study. We present the results of a study of bending of a thin, round, rigidly clamped plate. The plate was subjected to hydrostatic bending. A good agreement between the experimental data and the theoretical solution is obtained.
Synthesis of a smoothing bicubic spline for differentiating experimental data of nonparametric identification
Authors: Voskoboinikov Yu , Boeva V
Published: December 2021

Over the past two decades, so-called Voltaire series have been used to describe the dynamics of nonlinear systems in terms of input-output. Nonparametric identification of models using Voltaire series consists in constructing estimates for impulse transition functions (IPFs) depending on two or more arguments, which naturally makes identification algorithms much more complicated than in the one-dimensional case. So, in order to identify the two-dimensional IPF (corresponding to the quadratic term of the Voltaire series), it is necessary to calculate the second-order mixed derivatives of the output two-dimensional signal of the system, when a series of rectangular pulses of different amplitudes at different times are fed to its input. Everyone knows, the problem of differentiation is an ill-posed problem and one of the manifestations of incorrectness is poor resistance to errors in the initial data. It is proposed to use two-dimensional smoothing cubic (bicubic) spline (abbreviated SBS) to overcome this problem. The two tasks that constitute SBS synthesis: assignment and implementation of different types of boundary conditions at the border of the rectangular region where SBS is determined; optimal values estimation of two smoothing parameters due to the different “smoothness” of IPF for different two arguments. An acceptable solution to this synthesis problem is proposed in the paper. Our performed computational experiment showed the efficiency of the proposed algorithm for calculating second-order mixed derivative from noisy initial data.
Control of a transport robot in extreme weather based on computer vision systems
Authors: Timofeev A , Daeef F
Published: December 2021

This article presents a new way to use special computer vision techniques to aim with assisting in controlling a transport robot in a dynamic environment under exceptional and difficult environmental conditions. An analysis and development of algorithm for obstacle detection in the robot’s environment proposed based on data from an RGB-D video camera using computer vision methods. Contour analysis was the base method to detecting objects featured fragment taking into account difficult vision conditions. Based on open-source library (Open CV), we adopted methods program implementation which confirmed its applicability to detect objects in mobile robot environment.