Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska

4-14

Authors: Miloslav Steinbauer, Roman Pernica, Jiri Zukal, Radim Kadlec, Tibor Bachorec, Pavel Fiala

We discuss the numerical modeling of electromagnetic, carbon-based periodic structures, including graphene, graphane, graphite, and graphyne. The materials are suitable for sub-micron sensors, electric lines, and other applications, such as those within biomedicine, photonics, nano- and optoelectronics; in addition to these domains and branches, the applicability extends into, for example, microscopic solutions for modern SMART elements. The proposed classic and hybrid numerical models are based on analyzing a periodic structure with a high repeatability, and they exploit the concept of a carbon structure having its fundamental dimension in nanometers. The models can simulate harmonic and transient processes; are capable of evaluating the actual random motion of an electric charge as a source of spurious signals; and consider the parameters of harmonic signal propagation along the structure. The results obtained from the analysis are utilizable for the design of sensing devices based on carbon periodic structures and were employed in experiments with a plasma generator. The aim is to provide a broader overview of specialized nanostructural modeling, or, more concretely, to outline a model utilizable in evaluating the propagation of a signal along a structure’s surface.

19-24

Authors: Andrii Bomba, Yurii Klymyuk, Ihor Prysіazhnіuk

Mathematical models for predicting technological regimes of filtration (water purification from the present impurities), backwashing, chemical regeneration and direct washing of rapid cone-shaped adsorption filters, taking into account the influence of temperature effects on the internal mass transfer kinetics at constant rates of the appropriate regimes, are formulated. Algorithms for numerical-asymptotic approximations of solutions of the corresponding nonlinear singularly perturbed boundary value problems for a model cone-shaped domain bounded by two equipotential surfaces and a flow surface are obtained. The proposed models in the complex allow computer experiments to be conducted to investigate the change of impurity concentrations in the filtration flow and on the surface of the load adsorbent, temperature of the filtration flow, filtration coefficient and active porosity along the filter height due to adsorption and desorption processes, and on their basis, to predict a good use of adsorbents and increase the protective time of rapid cone-shaped adsorption filters with chemical regeneration of homogeneous porous loads.

29-32

Authors: Serhii Zakharchenko , Roman Humeniuk

The article is devoted to research on the possibilities to use redundant number systems for bit error notification in a successive-approximation ADC during the main conversion mode. The transfer function of a successive-approximation ADC with a non-binary radix is analyzed. If the radix is less than 2, not all possible code combinations appear on the converter output. The process of formation of unused combinations is investigated. The relationship between the bit’s deviations and the list of unused combinations is established. The possibilities of estimating the bit error value without interrupting the process of analog-to-digital conversion is considered.

38-42

Authors: Oleksandr Turovsky, Sergei Panadiy

The article investigates the possibilities of closed and combined synchronization systems for operation in the conditions of phase instability of generators caused by the influence of ionizing radiation of outer space. The inconsistency of the closed-type synchronization system with respect to minimizing the variance of phase errors and increasing the dynamics during carrier frequency tracking is shown. For the combined synchronization system, the article clarifies the process of open communication synthesis and proposes analytical dependences that allow the technique of open communication synthesis to be specified taking into account the phase instability of generators caused by the ionizing radiation of space.

47-50

Authors: Marcin Buczaj, Andrzej Sumorek

The article presents the concept and capabilities of a computer system for analysing measurement data for a skew rolling mill used to produce steel balls. The computer system for data acquisition and analysis consists of cooperating systems designed to perform control and measurement tasks during the operation of a skew rolling mill. Their main task is to collect and record data related to the measured physical parameters of the batch rolling process. This system registers the current and analyses the radial forces and torque acting on the rolled element by the rolling tool. The process of data acquisition, analysis and archiving is carried out by means of an NI USB 6009 measuring card together with the attached systems of transducers and force and torque sensors and a computer with an installed application. The measurement application was developed in the LabVIEW environment. The application algorithm is based on the state machine architecture and enables the configuration of measurement elements and technical parameters, checking the functioning of the control and measurement system and the acquisition and archiving of measurement data.

57-60

Authors: Kanstantsin Pantsialeyeu, Anatoly Zharin, Oleg Gusev, Roman Vorobey, Andrey Tyavlovsky, Konstantin Tyavlovsky, Aliaksandr Svistun

The paper reviews the results of a study on the surface electrostatic charges of dielectrics obtained using the contact potential difference (CPD) technique. Initially, the CPD technique was only applied to the study of metal and semiconductor surfaces. The conventional CPD measurement technique requires full compensation of the measured potential that, in the case of dielectrics, could reach very high values. Such high potentials are hard to compensate. Therefore, the conventional CPD method is rarely applied in the study of dielectric materials. Some important improvements recently made to the CPD measurement technique removed the need for compensation. The new method, which does not require compensation, has been implemented in the form of a digital Kelvin probe. The paper describes the principles of the non-compensation CPD measurement technique which was developed for mapping the electrostatic surface charge space distribution across a wide range of potential values. The study was performed on polymers such as low-density polyethylene (LDPE) and polytetrafluoroethylene(PTFE).

65-68

Authors: Piotr Paplicki, Paweł Prajzendanc, Marcin Wardach

The paper presents a design of an axial-flux surface-mounted permanent-magnet generator with flux-regulation capability. Based on three-dimensional finite-element analysis (3D-FEA), the no-load air-gap magnetic flux density, flux-control characteristics, cogging torque and electromagnetic torque of the machine have been predicted. Simulation results of no-load back-EMF waveforms performed at different DC control coil excitations have been compared with experimental results.

73-76

Authors: Magdalena Paśnikowska-Łukaszuk, Arkadiusz Urzędowski

Modern technologies allow for quick processing of digital images. In the era of the Internet, there are many mobile applications supporting the digital processing of photos used on social media. The algorithms of many popular social networks focus on many factors, however, the photography that is placed on a given portal is of great importance. Social media allows you to reach many sources and people. With the help of a good photo, we can get high post reach that contain additional information. The use of mobile applications helps to achieve very good results. This paper presents the results obtained in the process of comparing posts using digital photo processing with those in which the photos were used without processing in a graphics program.

5-8

Authors: Michał Łukiański, Radoslaw Wajman

The project aimed to develop and implement algorithms to diagnose the phase separation process based on digital images. The image processing techniques and various numerical methods for interpolation and integration were used to identify the process state. The swirl’s volume and diameters at its three different levels can be determined on-line. A consistent diagnostic signal is produced and can be used by the control unit. The program was written in Python using the OpenCV library that allows the analysis of digital images. The article presents the developed procedure that provides reliable results despite the poor quality of the input source video stream. The complete procedure was described with the results’ presentation and discussion at each step.

13-16

Authors: Róża Dzierżak

The aim of this article was to determine the effect of principal component analysis on the results of classification of spongy tissue images. Four hundred computed tomography images of the spine (L1 vertebra) were used for the analyses. The images were from fifty healthy patients and fifty patients diagnosed with osteoporosis. The obtained tissue image samples with a size of 50x50 pixels were subjected to texture analysis. As a result, feature descriptors based on a grey level histogram, gradient matrix, RL matrix, event matrix, autoregressive model and wavelet transform were obtained. The results obtained were ranked in importance from the most important to the least important. The first fifty features from the ranking were used for further experiments. The data were subjected to the principal component analysis, which resulted in a set of six new features. Subsequently, both sets (50 and 6 traits) were classified using five different methods: naive Bayesian classifier, multilayer perceptrons, Hoeffding Tree, 1-Nearest Neighbour and Random Forest. The best results were obtained for data on which principal components analysis was performed and classified using 1-Nearest Neighbour. Such an algorithm of procedure allowed to obtain a high value of TPR and PPV parameters, equal to 97.5%. In the case of other classifiers, the use of principal component analysis worsened the results by an average of 2%.

22-25

Authors: Oksana Boyko, Nataliya Dorosh, Irena Yermakova, Oleh Dorosh, Żaklin Grądz

An innovative concept and the structural organization of a modular system for long-term monitoring, analysis and correction of integrated health indicators of different groups of the population taking into account the impact of environmental factors and extreme conditions is described. The main elements of the system are a module for measuring physiological indicators that characterize the state of human health, a sensor module for selection and registration of environmental indicators, a data transmission module, a database, a module for comprehensive analysis of indicators, a forecasting module, a set of mathematical models, a module for results displaying. Methods of mathematical modelling and statistics were used to predict health state. The mobile application that allows to assign and take into account changes in environmental performance during physical activity, e.g. training weather conditions, such as temperature, relative humidity and wind speed, as well as the distance and duration of running, is developed. The results can be obtained numerically and graphically on the smartphone screen. The proposed system allows to predict the functional state of person in different environmental conditions. It will allow the user to make the right decision about the duration and intensity of physical activity in certain environmental conditions and choose the appropriate level of physical activity.

32-35

Authors: Jakub Gęca

The consequences of failures and unscheduled maintenance are the reasons why engineers have been trying to increase the reliability of industrial equipment for years. In modern solutions, predictive maintenance is a frequently used method. It allows to forecast failures and alert about their possibility. This paper presents a summary of the machine learning algorithms that can be used in predictive maintenance and comparison of their performance. The analysis was made on the basis of data set from Microsoft Azure AI Gallery. The paper presents a comprehensive approach to the issue including feature engineering, preprocessing, dimensionality reduction techniques, as well as tuning of model parameters in order to obtain the highest possible performance. The conducted research allowed to conclude that in the analysed case , the best algorithm achieved 99.92% accuracy out of over 122 thousand test data records. In conclusion, predictive maintenance based on machine learning represents the future of machine reliability in industry.

44-47

Authors: Ewelina Krawczak

The community all over the World has to tackle the problem of depletion of fossil fuels, overusing the natural resources, and growing emission of greenhouse gases into the atmosphere. It is related to the growing demand for electricity due to global development in every field. The solution to this problem can be production clean, solar energy with the use of photovoltaic modules. However, the installation of PV system in urban areas is very often impossible because of high-density citie’s architecture. The objective of this study was to analyze building applied photovoltaic system configurations for the flat rooftop of the detached house in Warsaw, Poland. Four configurations were analyzed taking into consideration the area of the rooftop, different tilt angles of PV modules, and shading areas. The system configuration as well as monthly energy output were carried out by the use of DDS-Cad software. The ecological aspect of the photovoltaic installation was also analyzed. A significant reduction of greenhouse gases was observed based on conducted calculations.

52-55

Authors: Żaklin Grądz

The complexity of changes occurring in the flame during the combustion process has a direct influence on the quantity and quality of the combustion products. The presented measurement data pertaining to the changes in flame luminosity were recorded using a specialized monitoring system. These signals from the combustion of such fuels as pulverized coal and mazout were recorded with high sampling rate. The paper presented the analysis of changes in flame luminosity for different fuels using continuous and discrete wavelet transform. The main aim of the studies was to determine the scale values, which enable differentiating between the type of combusted fuel. The results of studies were presented in the form of scalograms.

60-65

Authors: Klara Janiga

Deterioration of voltage conditions is one of the frequent consequences of connecting an increasing number of photovoltaic sources to the low-voltage (LV) power grid. Under adverse conditions, i.e. low energy consumption and high insolation, microgeneration can cause voltage surges that violate acceptable limits. Research shows that the increase in voltage is the main limitation for connecting new energy microsources to the LV network and forces the reconstruction of the network. An alternative to costly modernizations can be the implementation of appropriate strategies for controlling network operation to maintain the voltage at the required level. The article presents an overview of the methods and concepts of voltage control in a low-voltage network developed so far to mitigate the undesirable phenomenon of voltage boosting. The focus was mainly on local methods—not requiring communication infrastructure—as best suited to the conditions of Polish distribution networks. Gathering the results of many tests and simulations carried out in different conditions and on different models allowed for the formulation of general conclusions and can be a starting point for further research on a control method that can be widely used in the national power system.

70-73

Authors: Aleksander Chudy, Henryka Danuta Stryczewska

The article presents the latest information about electromagnetic compatibility testing of electric vehicles, on-board chargers and electric vehicle charging stations with a consideration of current standards and Regulation No. 10 of the United Nations Economic Commission for Europe (UNECE). The aspects of immunity, conducted and radiated emissions were taken into account.

78-81

Authors: Vasyl Kychak, Ivan Slobodian, Victor Vovk

A memory cell structure is proposed that uses a Schottky barrier thin film transistor based on an amorphous semiconductor as a junction element, and a chalcogenide glassy semiconductor film as a switching element. A physical storage cell model has been developed. The dependence of the transistor and memory cell parameters on the dose of neutron flux and γ - quanta was investigated. It is shown that when the dose of neutron irradiation is changed, the steepness of the drain-gate characteristic (DGC) decreases by 10% at a dose of the order of 1015 n/s, at the same time, the transfer coefficient of the bipolar n-p-n transistor decreases by 20% already at doses of 1013 n/s, indicating a significant increase in the radiation resistance of the proposed memory cell. In the case of irradiation with γ - quanta in the range up to 2.6 MRad, the steepness of the DGC of the proposed structure changes by only 10%. When used as an isolation element, a field-effect transistor with an insulated gate, the slope of the DGC is reduced by 50%. It is shown that the current of recording information of the proposed structure when changing the dose of γ - quantum flux to 2.6 MRad changes by about 10%, at the same time, in the case of using a field-effect transistor with an isolated cover, the information recording current changes by 50%. The study of the dependence of the gate current on the dose of γ – quanta is showed. When the radiation dose changes from 0 to 2.6 MRad, the gate current changes only by 10%, which indicates the high resistance of the proposed structure to the action of permeable radiation. Also, studies of the dependence of the conductivity of single-crystal semiconductors on the radiation dose ɣ by quanta and neutron flux show that a significant increase in the specific resistivity of AS occurs at doses 2-3 orders of magnitude larger than in the case of single-crystal n-type conductivity semiconductors.

86-90

Authors: Yosyp Bilynsky, Oksana Horodetska, Svitlana Sirenko, Dmytro Novytskyi

The means of measuring humidity based on the use of the ultrahigh frequency method have been recently gaining widespread use, because of its simple, robust construction and high measuring accuracy. We used the advanced waveguide ultrahigh frequency method of measuring the moisture content of natural gas which, in contrast to the known the use of a traveling wave in a waveguide, is proposed. In this case, the interaction with waves of the ultrahigh frequency range changes the dielectric properties of the gas, and this change is registered. On the basis of an improved ultrahigh frequency method of humidity measurement, a device for natural gas humidity control using a traveling wave in a waveguide is proposed. The investigations have shown that a comparative channel increased the measurement accuracy, as a two-channel system – in contrast to a single-channel – eliminates the instability of the value of the input signal supplied to the generator. The principle of operation of a natural gas humidity control device that contains an ultrahigh frequency generator, attenuators, waveguide tees, a waveguide section for comparison, temperature sensor and pressure switches for the comparative and measuring channels, a measuring cuvette, amplifier, microprocessor, and display unit is described. A mathematical model of a natural gas humidity control device, which takes into account the values of the dielectric permittivity of the measuring gas and reference channels and contains correction factors for temperature, the use of which increases the accuracy of humidity measurement, is proposed. The lower and upper calibration points of the natural gas humidity control device are defined. The influence of correction factors for the temperature at the measurement error of the humidity is analyzed.

95-98

Authors: Piotr Bednarczuk

Very large databases like data warehouse slow down over time. This is usually due to a large daily increase in the data in the individual tables, counted in millions of records per day. How do we make sure our queries do not slow down over time? Table partitioning comes in handy, and, when used correctly, can ensure the smooth operation of very large databases with billions of records, even after several years.

4-7

Authors: Oleksandra Hotra

The schematic diagrams of the temperature measuring device based on transistor structures are presented in the paper. The temperature dependence of collector current without and with linearization of the conversion function is analysed. The linearization method based on compensation current formation is proposed. This allowed to reduce the temperature measurement error up to ± 0.006°C over the temperature ranges 40… 60°C and 60… 80°C and up to 0.08°C over the temperature range 10… 90°C.

12-15

Authors: Igor Povhan

The paper is dedicated to algorithms for constructing a logical tree of classification. Nowadays, there exist many algorithms for constructing logical classification trees. However, all of them, as a rule, are reduced to the construction of a single classification tree based on the data of a fixed training sample. There are very few algorithms for constructing recognition trees that are designed for large data sets. It is obvious that such sets have objective factors associated with the peculiarities of the generation of such complex structures, methods of working with them and storage. In this paper, we focus on the description of the algorithm for constructing classification trees for a large training set and show the way to the possibility of a uniform description of a fixed class of recognition trees. A simple, effective, economical method of constructing a logical classification tree of the training sample allows you to provide the necessary speed, the level of complexity of the recognition scheme, which guarantees a simple and complete recognition of discrete objects.

20-23

Authors: Jacek Wilk-Jakubowski

Many risks as a result of accidents, catastrophes and natural disasters can contribute to crisis situation, which according to the definition means a set of circumstances, both external and internal, that affect a given system through changes. Crisis situations are usually the result of natural disasters. Where such phenomena occur, it is important to ensure communication both at regional and national level. This is particularly important in areas affected by disasters caused by force majeure, such as earthquakes. The main aim of the article is to provide an overview of the architecture of contemporary information systems including satellite links, in order to present information on the potential possibilities of their use in the case of crisis situations.

28-31

Authors: Natalia Smetankina, Oleksii Postnyi

A method for calculation of nonstationary thermal fields in a multilayer glazing of vehicles under the effect of impulse film heat sources is offered. The glazing is considered as a rectangular multilayer plate made up of isotropic layers with constant thickness. Film heat sources are arranged on layers' interfaces. The heat conduction equation is solved using the Laplace transformation, series expansion and the second expansion theorem. The method offered can be used for designing a safe multilayer glazing under operational and emergency thermal and force loading in vehicles.

36-39

Authors: Magdalena Michalska, Oksana Boyko

The article contains a review of selected classification methods of dermatoscopic images with human skin lesions, taking into account various stages of dermatological disease. The described algorithms are widely used in the diagnosis of skin lesions, such as artificial neural networks (CNN, DCNN), random forests, SVM, kNN classifier, AdaBoost MC and their modifications. The effectiveness, specificity and accuracy of classifications based on the same data sets were also compared and analyzed.

44-47

Authors: Volodymyr Voloshchuk, Mariya Polishchuk

The paper presents energy and exergy analysis of a typical dwelling ventilation system with heat recovery for Ukrainian climatic conditions using a quasi-steady state approach over 24-hour time-steps. Evaluation of such systems on the base of the first law of thermodynamics demonstrates that heat recovery is beneficial for the whole variety of operational modes. Such methodology identifies as a thermodynamic inefficiency only energy losses to the surroundings with the exhaust air. The exergy-based analysis can detect additional inefficiencies due to irreversibilities within the components of the system. As a result the exergetic investigations show that for the ventilation systems there are operating conditions for which heat recovery increases exergy of fuel expended to provide the ventilation air compared to cases without bringing any recovery of heat and additional power consumption to drive the air flow by the fans. For the specified system, in case of switching ventilation unit to the operation mode of lower values of spent fuel exergy it is possible to provide annual saving of the primary energy sources from 5 to 15%.

52-55

Authors: Żaklin Grądz

In the combustion process, one of the most important tasks is related to maintaining its stability. Numerous methods of monitoring, diagnostics, and analysis of the measurement data are used for this purpose. The information recorded in the combustion chamber constitute one-dimensional time series. In the case of non-stationary time series, which can be transformed into the stationary form, the autoregressive integrated moving average process can be employed. The paper presented the issue of forecasting the changes in flame luminosity. The investigations discussed in the work were carried out with the ARIMA model (p,d,q). The presented forecasts of changes in flame luminosity reflect the actual processes, which enables to employ them in diagnostics and control of the combustion process.

62-69

Authors: Artem Ivanov, Igor Kolosov, Vadim Danyk, Sergey Voronenko, Yurii Lebedenko, Hanna Rudakova

International requirements for improving energy efficiency and environmental protection and the necessary goals for their implementation in the marine industry are an actual problem. To integrate state-of-the-industry technologies and marine specialists education, the training complex is proposed. It is based on the platform of a hardware-software complex with the ability to integrate training equipment, simulators and software. That makes such a training complex multitask, universal, and flexible in achieving a variety of tasks and goals. The complex also implements high-quality education and training of marine specialists, conducting research after processing working out the results of engineering modelling of structural, thermal power, hydraulic, electrical, electronic, multi-physical and other solutions. The need to use the training complex allows us to form the necessary competence of the engine team personnel, develop methods and criteria for assessing competence, evaluate and demonstrate practical skills.

4-7

Authors: Anton Vrublevskiy, Ivan Lesovoy, Gennadij Pylypenko

It has been shown that fuzzy integrals (Sugeno and Shocke) have special properties and are suitable for a fuzzy system for managing the resources of a telecommunication network. The form of choosing a method for calculating the Hurst coefficient in a fuzzy control system for telecommunication network resources is proposed.

12-15

Authors: Ruslan Politanskyi, Andrij Veryga

The proposed electronic switching device, which is a replacement (analogue) of the electromechanical switch KEP-12. The status and time settings are set for each channel separately through the device menu. It is characterized by less time and ease of reconfiguration.

20-23

Authors: Volodymyr Korchynskyi, Vitalii Kildishev, Oleksandr Riabukha, Oleksandr Berdnikov

Random sequences are used in various applications in construction of cryptographic systems or formations of noise-type signals. For these tasks there is used the program generator of random sequences which is the determined device. Such a generator, as a rule, has special requirements concerning the quality of the numbers formation sequence. In cryptographic systems, the most often used are linearly – congruent generators, the main disadvantage of which is the short period of formation of pseudo-random number sequences. For this reason, in the article there is proposed the use of chaos generators as the period of the formed selection in this case depends on the size of digit net of the used computing system. It is obvious that the quality of the chaos generator has to be estimated through a system of the NIST tests. Therefore, detailed assessment of their statistical characteristics is necessary for practical application of chaos generators in cryptographic systems. In the article there are considered various generators and there is also given the qualitative assessment of the formation based on the binary random sequence. Considered are also the features of testing random number generators using the system. It is determined that not all chaos generators meet the requirements of the NIST tests. The article proposed the methods for improving statistical properties of chaos generators. The method of comparative analysis of random number generators based on NIST statistical tests is proposed, which allows to select generators with the best statistical properties. Proposed are also methods for improving the statistical characteristics of binary sequences, which are formed on the basis of various chaos generators.

28-31

Authors: Leonid Ozirkovskyy, Bohdan Volochiy, Mykhailo Zmysnyi, Oleksandr Shkiliuk

he safety of radio electronic systems for critical applications is traditionally ensured by inducing structural redundancy. This paper shows a developed technique for ensuring a required level of safety of such systems by inducing time and functional redundancy into its behavior algorithm. The defined safety characteristic is proposed for quantitative efficiency estimation of the induced redundancy. Presented in the article is the synthesis technique of safe behavior algorithms on the basis of safety characteristic minimization of increased values. The developed technique was tested through solving the synthesis problem of the behavior algorithm of the target detection radio electronic complex system.

36-39

Authors: Yurii Dobrovolsky, Volodymyr M. Lipka, Volodymyr V. Strebezhev, Yurii O. Sorokatyi, Mykola O. Sorokatyi, Olga P. Andreeva

The paper shows the results of the development of a photodiode technology based on gallium phosphide structure n+-n-GaP-Au with high sensitivity. It provides the ion etching of the surface of the gallium phosphide before an application of a leading electrode of gold. The barrier layer of a 20 nm thick gold is applied to the substrate in the magnetic field of GaP. When forming the contact with the reverse side of the indium substrate at 600°C, there occurs the annealing of the gold barrier layer. At the maximum of the spectral characteristics obtained by the photodiode, it has a sensitivity of 0.13 A/W, and at a wavelength of 254 nm – about 0.06 A/W. The dynamic range of the photodiode is not less than 107.

44-47

Authors: Jakub Kisała, Karolina Czarnacka, Mateusz Gęca, Andrzej Kociubiński

The paper presents the technology for obtaining NiFe/Ti/NiFe layer structures in MEMS technology using magnetron purge with the assumption of being used as semi-magnetic sensors. A series of samples was made on a glass substrate with a sandwich structure, where the individual layers were 100 nm NiFe, 10 nm Ti and on top again NiFe with a thickness of 100 nm. Measurements of DC resistance of the obtained structures in a constant magnetic field, which was produced by neodymium magnets and an electromagnet, were carried out. The obtained results confirm the occurrence of phenomena known as the magnetoresistance effect. The influence of the spatial arrangement of structures relative to the constant magnetic field vector was checked and proved.

52-57

Authors: Olexandr N. Romanyuk, Sergey I. Vyatkin, Sergii V. Pavlov, Pavlo I. Mykhaylov, Roman Y. Chekhmestruk, Ivan V. Perun

The problem of face recognition is discussed. The main methods of recognition are considered. The calibrated stereo pair for the face and calculating the depth map by the correlation algorithm are used. As a result, a 3D mask of the face is obtained. Using three anthropomorphic points, then constructed a coordinate system that ensures a possibility of superposition of the tested mask.

62-65

Authors: Ruslan Politanskyi, Maria Vistak, Andriy Veryga, Tetyana Ruda

The article analyzes the physical processes that occur in spin-valve structures during recording process which occurs in high-speed magnetic memory devices. Considered are devices using magnetization of the ferromagnetic layer through transmitting magnetic moment by polarized spin (STT-MRAM). Basic equations are derived to model the information recording process in the model of symmetric binary channel. Because the error probability arises from the magnetization process, a model of the magnetization process is formed, which is derived from the Landau-Lifshitz-Gilbert equations under the assumption of a single-domain magnet. The choice of a single-domain model is due to the nanometer size of the flat magnetic layer. The developed method of modeling the recording process determines the dependence of such characteristics as the bit error probability and the rate of recording on two important technological characteristics of the recording process: the value of the current and its duration. The end result and the aim of the simulation is to determine the optimal values of the current and its duration at which the speed of the recording process is the highest for a given level of error probability. The numerical values of the transmission rate and error probability were obtained for a wide range of current values (10–1500 μA) and recording time of one bit (1–70 ns), and generally correctly describe the process of information transmission. The calculated data were compared with the technical characteristics of existing industrial devices and devices which are the object of the scientific research. The resulting model can be used to simulate devices using different values of recording currents: STT-MRAM series chips using low current values (500-100 μA), devices in the stage of technological design and using medium current values (100–500 μA) and devices that are the object of experimental scientific research and use high currents (500–1000 μA). The model can also be applied to simulate devices with different data rates, which have different requirements for both transmission speed and bit error probability. In this way, the model can be applied to both high-speed memory devices in computer systems and signal sensors, which are connected to sensor networks or connected to the IoT.

72-76

Authors: Natalia Grigorieva, Viktor Shabaykovich, Larysa Gumeniuk, Pavlo Humeniuk, Lubov Dobrovolska, Dmitry Sobchuk

The interrelated problems of using renewable energy from carbon dioxide are considered. Particular attention was paid to the fact that on the one hand there is the possibility of obtaining renewable energy from carbon dioxide using new devices. At the same time, on the other hand, the Earth’s atmosphere is cleared of such a gas and the greenhouse effect is also eliminated. To implement this approach, the current factors and their interaction, as well as examples of such installations with devices, are described. Their positive and negative aspects were emphasized.

82-86

Authors: Oleg Vanchulyak, Serhii Golub, Mariia Talakh, Vyacheslav Gantyuk

The work combines methods of multidimensional polarization microscopy, statistical processing of data and inductive modeling with the purpose of constructing a methodology for creation of intelligent systems for multi-level forensic medical monitoring based on the example of the post-mortem diagnosis of coronary heart disease and acute coronary insufficiency. The task of classifying the results of the study of biological materials for obtaining a diagnosis was solved. To obtain informative features, a model of biological tissue of the myocardium was developed and the main diagnostic parameters were determined (statistical moments of 1–4 orders of coordinate distributions of the values of azimuths and the ellipticity of polarization and their autocorrelation functions, as well as wavelet coefficients of the corresponding distributions), which are dynamic due to its necrotic changes. The classification of these data was provided by constructing a deciding rule in the multi – raw algorithm of the GMDH. The effectiveness of the described methodology has been experimentally proved.