Purpose of research. SARS-CoV-2 is a new epidemic infectious disease characterized by a relatively high contagiousness and the likelihood of life-threatening complications in the form of acute respiratory distress syndrome, acute respiratory and multiple organ failure. The causative agent of the disease, the enveloped zoonotic RNA virus SARS-CoV-2, belongs to the Coronaviridae family, the genus Betacoronavirus, as well as the previously known SARS- CoV and MERS-CoV viruses, which cause severe acute respiratory syndrome and Middle East respiratory syndrome, respectively. The COVID-19 epidemic has quickly spread around the world and currently covers 213 countries, in which more than 1.6 million cases have been registered, of which more than 90,000 people have died so far. In the spring- summer period of 2021, the third wave of the SARS-CoV-2 coronavirus outbreak is predicted. The availability of an analysis for the presence of antibodies of immunoglobulin’s SARS-CoV-2 will allow timely detection of the disease and take measures for treatment and self-isolation. The aim of the study is to develop an automatic diagnosis module for the rapid analyzer device for the presence of IgG and IgM SARS-CoV-2 immunoglobulin antibodies.

Methods of research are based on general systems theory, theory of finite automata, and minimization of logical expressions. An Omron programmable controller is used as a hardware and software complex. An operator-analyst interface has been developed using CX-Designer. The microcontroller is programmed in Ladder Diagram language (IEC 61131-3). The presence of a control signal will increase the reliability of the analysis. The express analyzer is based on the immunosorbent assay (ELISA) method using a liquid-phase enzyme immunoassay.

Results. Software has been developed for designing a liquid-phase analyzer device for the presence of immunoglobulin antibodies IgM, IgG SARS - CoV-2 on the basis of the CP1H Omron microcontroller. Simulation modeling was carried out, which showed the correct logic of the designed device and satisfactory results in the formulation of a preliminary diagnosis of the disease.

Conclusion. The production of portable express analyzers for the presence of immunoglobulin IgG and IgM antibodies SARS-CoV-2 will allow to quickly determine the stage of the disease and will contribute to timely isolation and treatment.

The purpose of research is to improve the quality of predicting cardiovascular risks by using synergistic channels formed by convolutional neural networks.

Methods. To predict the functional state of living systems, it is proposed to supplement the risk factors for cardiovascular diseases with virtual factors, taking into account the influence of real risk factors on each other. A method has been developed for constructing a convolutional neural network intended for the analysis and classification of images constructed from the results of modeling synergetic channels, which is characterized by the use of the minimum dimension of convolutional filters and methods for completing the definition of the original images.

Results. To test the proposed method and model of the classifier, an experimental group was formed of patients with three gradations of the risk of coronary heart disease (IHD) and a classifier of IHD risk was built on the basis of a convolutional neural network in three gradations. As a concomitant disease that can stimulate a synergistic effect, this model uses vibration disease, and the electromagnetic field is taken as an environmental factor contributing to the synergistic effect. Traditional coronary heart disease risk factors and descriptors determined on the basis of electrocardiographic studies were selected as two more segments of risk factors. Considering that locomotive crew drivers were selected as the object of the study, risk factors associated with their professional activities were taken as the fifth segment of risk factors leading to the onset and development of coronary heart disease.

Conclusion. In the course of experimental assessment and as a result of mathematical modeling, it was shown that when all risk factors were used, confidence in the correct prognosis of IHD exceeds 0.8 for all observation groups and for all indicators of classification quality. Indicators of forecasting quality are higher than those of the well-known SCORE forecasting system, on average, by 14%.

The purpose of the research is to develop methods to improve the efficiency of neural networks for building artificial intelligence systems in the analysis of the game space.

Methods. As the main method used in the developed software solution, the method of deep learning of neural networks with reinforcement, based on the use of a model of proximal strategy optimization, was used. We used a special ML- Agents plugin for the Unity game engine. On its basis, ready-made environments for training agents were used, and new environments for training agents that adaptively change during the implementation of the game were developed. The diagram of the interaction of the learning environment with the Python API system is presented, the components that make up the plugin are shown. A reinforcement learning cycle has been formed, which allows you to form the order of various states, the player's possible actions in relevant situations and the potential rewards he receives in the learning process. The goal is to maximize the expected payoff that a player can get during the entire learning cycle. The proximal strategy optimization algorithm in the ML-Agents plugin is implemented through the Tensor Flow machine learning software library and is executed in a separate Python API process that interacts with the launched Unity scene through an external communicator.

Results. It is shown that an increase in the efficiency of neural networks for the subsequent training of artificial intelligence is achieved, firstly, through the use of ultra-precise neural networks, and secondly, due to the expansion of functional capabilities, by choosing the pivot point of the formula.

Conclusion. Consideration of the actions of players will help to develop a software product for analyzing a game strategy using neural networks, which automatically determines their behavior, aimed at studying the individual characteristics of the game space.

Purpose of research.One of the initial stages in the development of electronic devices is the design of their electronic circuits. Electronic circuits include conventional designations of all elements of the device being developed and the connections between them. Using existing methods for analyzing circuits at the design stage allows you to analyze the principle of operation of the circuit, make changes if necessary, and facilitate the development of devices, since mistakes made at this stage are much easier and cheaper to fix than at the assembly stage. Therefore, the purpose of the study is to simplify the assessment of the impact of individual electronic components on the entire designed device. The article discusses the features of the application of the transfer function, written in the form with low entropy, in the design of electrical circuit circuits, the need to search for the zeros and poles of the transfer function and the relationship of an individual circuit component with the entire circuit.

Methods. The paper considers the application of the method for constructing a transfer function, which contains basic information about the influences applied to the circuit and allows you to visually display the effect of individual electronic components of the circuit on its characteristics. This method includes a mathematical description of the electrical circuit, from which the transfer function of the circuit of the device under development is determined, which is reduced to the canonical form.

Results. Various applications of the method for constructing the transfer function in the design of electronic devices, as well as the features of the application of these methods, are considered.

Conclusion. The transfer function, written in a rational form with real coefficients, has a cumbersome form of notation and leads to a complication in the calculation of zeros and poles, while with the canonical notation of the transfer function, also called low-entropy, we obtain a simpler and more visual form of notation.

The purpose of the research is to study the possibility of accelerating the processes of object recognition in images using algorithms for segmenting data according to specified parameters using a device for simplified hardware pattern recognition.

Methods: the method of dividing the frame, with the help of a device simplified hardware pattern recognition, into the contours most suitable for the description of the sought objects is used. Data segmentation is performed by a device capable of forming an array of coordinates that define areas corresponding to the specified parameters. The device accepts a number of parameters, such as: color range; contour shape; the size; permissible deviations in the shape and size of the contour. The usual scheme of the object recognition process is modified by preliminary processing outside the final system, due to which the need for such stages as "Primary processing" and "Formation of features" disappears.

Results: data segmentation speeds up the process of recognizing objects on a frame by the end system, due to a decrease in the search area. The speed superiority result depends on the number of objects found and their size. In a simple example given, the result of increasing the speed can be up to 8 times.

Conclusion: recognition algorithms will be able to perform processing much faster, due to a significant reduction in the working area, relative to the original frame. To obtain a good result, it is necessary to carefully select the recognition algorithm itself for the final system, or paint over the area of the frame that was not determined by the device as the desired one. This is necessary, since most recognition algorithms do not know how to work with this approach.

Purpose of research. When designing electronic devices, there is a need to perform a large number of calculations in the selection of individual electronic components. Therefore, the purpose of the study is to reduce the calculations of the characteristics of electronic components of circuits by applying the methods of system analysis.

Methods. The paper considers the presentation of the sequence of calculating the characteristics of electronic components as a multidimensional discrete stationary system, to the input of which the conditions of use and physical properties of the components are supplied, as well as the use of system analysis to reduce the calculations of the characteristics of electronic components of circuits using the example of a choke in the design of electronic devices.

Results. The application of the methods of system analysis to reduce the time of calculating the characteristics of electronic components in the design of devices is considered.

Conclusion. To create a highly efficient switching power supply, one of the main tasks is to calculate the core and winding of the choke. When choosing an inductor, it is necessary to select and calculate the core, calculate the winding and select the choke that meets the given initial criteria. Each manufacturer of toroidal cores supplies a description and means of calculating characteristics only for their products and in a convenient non-standardized format only for themselves, which leads to a lot of manual work in calculating the characteristics of the cores, winding and comparative analysis of the results obtained to select the most suitable option in the conditions the task at hand. The presentation of the sequence of calculating the characteristics of electronic components in the form of a multidimensional discrete stationary system allows you to reduce the time for calculating the characteristics of electronic components by reducing their volume.

Purpose of research. The information age imposes special requirements on the design and structuring of information in the economy, law and education. This article discusses the possibilities of reducing routine work associated with error-free documentation in the conditions of processing large amounts of information in the educational field. Routine work takes up a lot of time in the work of university teachers and is more tedious than creative work. In addition to errors related to the human factor, in the process of education reform, the forms of documents often change and large volumes of text have to be redone.

Methods. Document management systems do not justify themselves due to the high price, complexity, and require configuration, maintenance, and training of personnel. Therefore, it is preferable to work with well-known software, such as MS Offise (any modification). With the help of a macro, a program is created that, based on the data provided in the EXCEL file, generates exam tickets according to a given template in Word. At the same time, you can flexibly change the number of questions in the tickets, the number of issues in the ticket, and the number of tickets themselves.

Results. The program of questions and tasks allows you to repeatedly reduce the time of creating tickets for exams, does not require training and configuration, and also eliminates errors due to high accuracy of work.

Conclusion. A specialized program for creating exam tickets for disciplines is considered.

The purpose of research is to improve the efficiency of detection and control of contamination of the earth's surface by unauthorized waste disposal facilities (ORO) outside the city limits by developing a complex of infrared remote detection of unauthorized WDF.

Methods. The work of the complex of infrared remote detection of pollution of the earth's surface WDF is based on remote sensing methods, which are divided into active, semi-active and passive. Passive methods of remote sensing include methods based on the registration of thermal radiation of the Earth (IR, microwave). Due to the fact that unauthorized landfills located outside of settlements are located there for a long time, exothermic chemical reactions begin to occur in the body of landfills, leading to the appearance of a temperature contrast between the surface of the earth and the unauthorized landfill. The work of the complex of infrared remote diagnostics of contamination of the earth's surface by unauthorized WDF is based on the obtained temperature contrast.

Results. The developed complex of infrared remote detection of unauthorized ORO consists of a set of input optics, an infrared lens, a device for vertical and horizontal scanning, a photodetector with a cooling system, an amplifier with a preamp, as well as a unit for processing incoming signals, a GPS receiver and a computer. The complex can be installed on a small mobile aircraft (quadrocopter, etc.), which will allow for operational control and detection of unauthorized ORO outside the city limits.

Conclusion. The data obtained using the complex of infrared remote detection of contamination of the earth's surface by unauthorized SRW can be processed, systematized and used to develop plans for the elimination of detected SRW, taking into account the priorities of environmental policy

The aim of the research is to develop a method for the synthesis of fuzzy mathematical models for assessing the influence of electromagnetic fields of the radio frequency range on the functional state and operability of operators based on soft computing technology, which allows us to obtain decision rules that ensure the quality of decision-making acceptable for psychology and preventive medicine.

Research methods. Taking into account the incomplete and fuzzy description of the class of states under study, the soft computing technology and, in particular, the methodology for the synthesis of hybrid fuzzy decision rules, which has proven itself well in solving problems with a similar data structure and type of uncertainty, are chosen as the basic mathematical apparatus. To optimize the composition of informative features, the theory of measurement of latent variables is used. To assess the functional state and its components at the psychological level, the methods of studying the parameters of attention and memory were chosen, and to assess the functional state and its components at the physiological level - the electrical characteristics of biologically active points.

Results. Using the selected research methods, mathematical models were obtained to assess changes in the functional state of the body and its components and to assess the dynamics of the operability of operators under the influence of EMPRF in combination with other risk factors.

Conclusion. The practical application of the proposed method will improve the quality of decisions made to assess the risks of diseases, where one of the risk factors is an increased level of EMPH, as well as to assess the risk of reduced performance and, as a result, assess the risks of abnormal situations in energy-saturated biotechnical systems that include EMPH generators.

Purpose of the research is to simulate computer processes and the task scheduler of the operating system, to model process scheduling algorithms, to study the CPU load at different waiting times for I / O operations. Modern concepts of processes and task planning are presented, the states of processes and options for transitions between these states are considered. A process model is proposed, and the calculation of the process operation time is given for a known probability of waiting state. The method of changing the priority of the process is considered.

Methods. Processes are in one of three states: two active and one passive. Each process can be superseded by another when its time quantum expires. The order of displacement is determined by the priority of the process. The priority includes the basic part and the dynamic part, which changes over time, and can also change at the request of the user.

Results. As a result of computer simulation, an operating system was developed that implements the process model and the process scheduler. The process structure includes the process ID, state, processor context (register value), and memory card. The scheduler implements the round-robin algorithm. When a timer interrupt occurs, the context of the previous process is saved and the context of the next process is restored. As a result of the simulation, a relationship was obtained between the number of processes and CPU utilization at different I / O waiting times.

Conclusion. The resulting model can be used to model the operation of processes and the task scheduler of the operating system. It allows you to test scheduling algorithms to improve the performance of the operating system.