Purpose of research. To attain the specified parameters of deep drilling accuracy by creating design and engineering support for the deep drilling process corresponding to the current level of technical and technological development.

Methods. Analysis of machine tools and tool systems for drilling deep holes based on the monitoring of the conditions of machinery, equipment, cutting tools and tooling market of leading domestic and global manufacturers. Synthesis of a process system that ensures the creation of a product that meets the world level of quality with maximum process performance.

Results. The design and engineering support of the process of deep drilling of high-alloy heat–resistant steel using modern equipment with a high-performance tool - a gun drill, was created. The equipment for the deep drilling process – an anti-vibration rest, an oil receiver, a clamping chuck, a guide bush are proposed. The conditions for the control of flow chips formed during deep drilling with a gun drill and its removal from the processing zone with a cooling mixture are determined.

Conclusion. On the basis of the tooling for deep drilling of heat-resistant steel, the possibilities of using both existing at enterprises equipment and modern but expensive equipment, taking into account the series production, are shown. Both of these ways make it possible to ensure the specified accuracy and roughness of processing.

To implement the deep drilling process, it is required to design a special tool - a gun drill, taking into account the properties of the material being processed. When implementing the deep drilling process applying specialized equipment, the machining pattern is provided by the tooling of the machine. When implementing the process applying universal equipment, the selected machining pattern is connected with the design and manufacture of the tooling – a clamping chuck, an oil receiver, a guide bush. These tasks are implemented in two ways: by the specialists of the enterprise or involving third-party specialized organizations to design attachments and cutting tools. The choice of the way to implement the deep drilling process depends on the availability of equipment, the size of the batch of parts and technical and economic assessment.

Purpose of research. Experimental assessment of the effect of deep drilling modes for high-alloy steel on the components of cutting forces. Making holes in a solid material with a hole depth equal to or greater than ten hole diameters refers to deep drilling operations. For drilling, special tools are used – drills for deep drilling - ejector, cannon, gun drills. Universal or special equipment is applied, the tooling includes travelling or fixed rests, guide bushes. To achieve this goal, it is necessary to choose equipment: type of tool for deep drilling, type of setting; create a model of the forces acting on the cutting part of the tool during deep drilling; evaluate the degree of influence of processing modes on cutting forces.

Methods. The research is based on the cutting theory provisions, mechanical engineering technology, experiment planning and regression analysis.

Results. Based on the provisions of mechanical engineering technology, the setting up for deep drilling with a rotating workpiece and a non-rotating drill, which is imparted only by the axial feed, was developed. A cutting tool for performing a deep drilling operation is defined – a gun drill. A pattern was created for such a processing scheme and experimental cutting forces were calculated. According to the results of the calculations, it is determined that the greatest influence on the components of the cutting force in a given range of cutting modes is exerted by the axial feed rate of the tool.

Conclusion. The cutting forces that occur during deep drilling reach significant values. The polynomial equations obtained as a result of the study allow us to assess the degree of influence of processing modes on cutting forces, calculate cutting forces for further calculation for the sag of the stem of a gun drill.

Purpose of research. The development of a method and algorithm for reducing measurements of beam identification parameters in an information and measurement system for monitoring building structures with measurement of deflections and recovery of actual values of beam initial parameters and external load when solving the inverse Cauchy problem.

Methods. The solution of the problem is carried out through formulating the transverse bending of the beam according to the Euler – Bernoulli theory using the method of regularization and reduction of measurements by solving the inverse Cauchy problem by means of linear Lagrangian approximation in the procedure of numerical differentiation of the beam deflection function. A methodology is formulated for identifying insignificant beam identification parameters by comparing the deflection of the beam caused by the parameter under study with the sensitivity threshold of measuring instruments. In this case, the modification of the state space of identification parameters with a decrease in its dimension is simulated.

Results. The working capability of the formulated experimental calculation method is confirmed by numerical experiment with a load on the beam in the form of a bending moment, concentrated and (or) constant distributed load. It has been established that when identifying insignificant initial parameters and loads acting on the beam, the reduction of measurements increases the accuracy of restoring the beam identification parameters.

Conclusion. The developed methodology can be used to improve the accuracy of inspection methods of construction facilities at the stage of experimental and theoretical research.

Purpose of research. The main danger in the transmission of confidential data is their leakage. Organizations take various measures to protect confidential data, which includes the adoption of regulatory documents to control the actions of employees, and the use of technical means of protecting premises, and the installation of software products. Asymmetric methods have a high level of durability, but are quite computationally time-consuming. In addition, various approaches using symmetric cryptosystems face the problems of generating and transmitting the key to subscribers. Therefore, there is a contradiction associated with the cryptographic transformation of confidential data with a small computational cost and a high level of protection. In this regard, the purpose of this study is to reduce the security risks of confidential information in the organization by increasing the effectiveness of protecting communication channels from information leakage by cryptographic methods.

Methods. In the proposed method, when implementing an asymmetric encryption algorithm, it is suggested to impose a chain of keys on the blocks of the original message obtained by generating a pseudo-random sequence based on cubic radicals. This approach guarantees the absence of periodicity of numbers in blocks and an unlimited length of a pseudo-random sequence.Results. The results obtained during the simulation showed that these chains of numbers have a uniform distribution, can be divided into blocks of arbitrary length and, from a mathematical point of view, have no periodicity.

Conclusion. The paper shows that the application of a recursive algorithm to key generation reduces the amount of computational costs by 20%, without losing the level of durability for identical keys. A comparative table is provided that demonstrates lower computational costs with the same key length as compared to other popular algorithms.

Purpose of research is the development of a method for assessing the condition of drying chamber electric drives based on historical data from temperature sensors. The method includes the use of historical data, analysis and determination of the correlation between changes in temperature and humidity and the technical condition of fans and air valves. The developed mathematical model of the functional diagnostic unit should work in real time based on the current temperature readings.

Methods. The method is based on the study of experimental data using narrow-band filters, averaging blocks and correlation functions to compare the spectral components of the control signal and the response in the form of temperature to the fact of coincidence.

Results. Based on the results of the study, a technical solution for the PLC was implemented, which makes it possible to determine the malfunction of the electric drives of the drying chamber without using additional air flow sensors and the position of the dampers. The solution is based only on temperature sensor data. Testing of the operation of the diagnostic unit is performed in manual mode, when the executive elements are not controlled by the controller.

Conclusion. The method can be useful for developers of control systems for lumber drying chambers, since it allows obtaining additional diagnostic information about the technological process, increasing the reliability of the control system as a whole.

Purpose of research. The development of swarm robotic systems and approaches to the simultaneous solution of the problem by a group of robots makes the direction of research related to the distribution of power resources between swarm agents topical. The implementation of these tasks requires the development of systems that make it possible to transfer power between swarm agents. The aim of the study is to develop the structure and circuit design of a bidirectional wireless power transmission system based on a resonant self oscillator.

Methods. The analysis of existing research and development of bidirectional power transmission systems by inductive method is carried out. The following parameters - transmitted power, efficiency, and power transmission distance were studied.

Results. The principle of operation of the developed circuit design in the mode of receiving and transmitting power is described, the schematic diagram and the design ratios are provided. The dependences of the efficiency of the system on the transmitted power and on the distance of power transmission are obtained. The highest value of the transmitted power of 15.4 W is achieved with a minimum distance between the receiving and transmitting parts of the system. The highest efficiency value of 59.91% is achieved with a transmitted power of 10.09 W.

Conclusion. The developed structure and circuit design are the basis for the implementation of a bidirectional wireless power transmission system. The proposed structure, which uses a step-up DC-DC converter, allows us to obtain a voltage at the output of a system operating in the power reception mode equal to and higher than the voltage of the power supply of the system operating in the power transmission mode. The application of this solution is relevant for the transfer of power between autonomous robots, the transfer of power from the power source to the robot and in the opposite direction.

Purpose of research. The purpose of this study is to identify the basic signs of social tension on the Internet in order to automatically identify the centres of its distribution, based on the results of cognitive modeling and ontological analysis.

Methods. Until recently, methods for detecting social tension in society were reduced to the analysis of the results of surveys. However, the shift of many communicative processes into the information space raises questions about the identification of new signs of social tension typical for the virtual environment, as well as about the identification of basic signs in the digital environment that could be detected automatically. In this article, by analyzing publications available in open sources related to offline methods of detecting social tension, analyzing the specifics of the Internet, a set of signs of social tension typical for the Internet environment is formed. On the basis of the formed set of signs, an ontology of signs of social tension on the Internet was formed, as well as a cognitive map of the development of the situation in the digital environment and a cognitive map of signs of social tension on the Internet. Impulse modeling was used to identify the basic stages of social tension and its basic signs.

Results. The main result of this work is a set of signs of social tension in the digital environment of the Internet, as well as the identified set of basic signs of social tension typical for the initial stages of the development of the situation, which is proved by the results of impulse modeling.

Conclusion. The conducted impulse modeling allows us to conclude that nonverbal expressions of negative emotions can be traced in the vast majority of active actions within the development of a situation of social tension on the Internet. Therefore, data analysis should first of all register the centres of information that accompany the identified signs, which will allow identifying sources of social tension on the Internet at an early stage of development.

Purpose of research is to design an information system taking into account the dveloped requirements and criteria, based on the use of new methods and modules for processing data from smartphone sensors, designed to monitor physical activity and risk factors for human health.

Methods. The work of the system for monitoring data on human physical activity is based on methods for recognizing simple and complex types of human physical activity using sensors of wearable devices, personalized analysis of risk factors and their impact on health, characterized by constant monitoring of the types of physical activity performed and the space surrounding human, on the use of technology that allows combination of the activity performed with elements of the game, as well as smart reminders to a person about the need to pay attention to their health, which are formed taking into account the physical condition of a person and the surrounding risk factors for his health.

Results. The structure of the proposed system is provided and the functionality of the software is described.

Conclusion. The designed system will help to develop an information system for monitoring data on human physical activity.

Purpose of research is to solve the problem of the development of the subsystem of automatic control of turnings of an autonomous, mobile car-like robot (autorobot). The main difficulty of solving this problem is due to the non-additivity of the control of nonlinear mathematixal model describing changes of autorobot movement direction.

Methods. The solution of the problem is obtained on the basis of a new algebraic polynomial-matrix synthesis method using a quasi-linear model. The proposed approach makes it possible to obtain an analytical solution to the problem of synthesis of control systems, including nonlinear non-additive objects. The quasi-linear model of the autobot is based on nonlinear equations in state variables.

Results. This article shows the possibility of solving the problem of synthesis of discrete control systems for nonadditive nonlinear objects. On the basis of nonlinear equations describing the robot turning which are non-additive in control, a corresponding quasi-linear model is obtained. Based on this model, a discrete turning control system of an autonomous robot was developed. The results of computer modeling confirm the operability of the autobot's turning control system in offline mode.

Conclusion. A subsystem for controlling turnings of an autobot, which provides the required changes in the direction of its movemen, set by a certain time program is developed. It is shown that the algebraic polynomial-matrix method for the synthesis of control systems using quasi-linear models makes it possible to synthesize discrete control systems with non-additive control objects. To construct quasi-linear models of nonlinear objects, it is necessary for the nonlinearities of objects to be differentiable in all their arguments.

Purpose of research is to broaden the tools for using digital video surveillance systems for navigation of unmanned aerial vehicles in conditions of loss of signals from satellites.

Methods. The development of a mathematical model of deviations of an unmanned aerial vehicle from a specified trajectory is based on the theory of photogrammetry in terms of a mathematical description of the mutual orientation of a pair of aerospace images and parallaxes of the corresponding points in their overlap zone.

Results. A mathematical model that determines a functional relationship between the parameters of deviations of unmanned aerial vehicles from a given trajectory and changes in the longitudinal and transverse parallaxes of overlapping images of the underlying surface caused by these deviations, was developed. Quantitative estimates of the influence of deviation parameters on the magnitude of changes in the longitudinal and transverse parallaxes of the corresponding points of overlapping images were obtained.

Conclusion. The obtained functional dependencies provide the possibility of autonomous detection and assessment of the level of deviations of an unmanned aerial vehicle from a given trajectory in pitch, roll and yaw angles, as well as in altitude and direction of flight. At the same time, in addition to images of the underlying surface obtained and processed during flight on board unmanned aerial vehicles, the use of other information, including digital maps of the area of their application, is not required.

Purpose of research. Development of a smart traffic light control system based on fuzzy logic with the ability to adjust the time intervals of traffic light signals depending on the traffic situation.

Methods. The definition of input variables for a fuzzy logic control system of smart traffic lights is performed using a vision system. The proposed method of controlling a traffic control device is based on a fuzzy inference system and contains several stages: determination of clear input variables, fuzzification of the values of input variables, aggre-gation of data based on fuzzy rules, defuzzification of values and determination of the delay time of the permitting traffic light signal.

Results. According to the proposed fuzzy model, a device that simulates the operation of a smart traffic light control system was developed. The device is assembled on the basis of the Arduino Uno controller. The developed specialized software model was patented. The number of the certificate of state registration of the computer program "Software for traffic light control based on fuzzy logic" is 2021661796.

Conclusion. The results of experimental studies show the high efficiency of the smart traffic lights in a daily cycle. The program successfully copes with the assessment of the traffic density of cars and pedestrians, adjusting the operating time of traffic lights proportionally. It is proved that the implementation of the developed smart traffic light control system makes it possible to ensure the safety and convenience of road traffic for all road users.

Purpose of research. When developing cyber-physical systems and intelligent environment designed to analyze user activity, the task of tracking user interactions with objects is topical.

Methods. In this paper, to solve the problem of detecting and tracking user interactions with objects in video sequences, an appropriate method based on the combined application of neural network models for detecting objects and segmenting users, as well as constructing depth maps based on video sequence frames was developed. The study presents corresponding algorithms and algorithmic models. The testing and assessment of the quality of functioning of the developed method were carried out on the basis of a test data set including 1,000 video sequences with a duration of up to 20 seconds.

Results. In the course of experimental studies, the indicators of accuracy (accuracy, recall, precision) of detecting interactions for video sequences with illumination levels of 100% and 50% were determined, which amounted to {0.82, 0.78, 0.76} and {0.70, 0.59, 0.70}, respectively, while the average proportions of correctly tracked interactions for these sets of video sequences had values of 81% and 71%. According to the results of the conducted testing, the developed method provides an opportunity to detect and track user interactions with objects in real time, including those in conditions of the lack of illumination of the scene.

Conclusion. Based on the results of the testing of the proposed method of tracking user interactions with objects on a test set of 1,000 video sequences, the proposed solution showed a fairly high quality of detecting and tracking interactions in video sequences with illumination levels of 100% and 50%. Thus, the developed method is to a certain extent resistant to changes in the level of illumination of the scene and provides a successful solution to the problem of detecting and tracking user interaction with various classes of objects in the video sequence, without requiring the use of specialized equipment.

Purpose of research. Development of a methodology for the formation of an optimal set of spare tools.
Methods. The totality of spare equipment in the organizational and technological system for providing mechanical assembly based on threaded connections at the enterprises of the motor-car construction cluster is presented in the work on the basis of a set-theoretical approach. Also, to describe the totality of spare equipment, theoretical and multiple models of the whole set of spare assembly tools, devices and the amount of spare parts for this equipment are used. The description of organization features of the repair service in the organizational and technological system for providing mechanical assembly at the enterprises of the motor-car construction cluster was carried out applying the principles and concepts of management theory. The formalization of the decision-making process for the formation of a set of spare equipment is based on the methods of decision-making theory. Some elements of the methodology are based on the use of methods of mathematical analysis and the theory of fuzzy sets.
Results. A set-theoretic model of a set of spare assembly tools, devices, fixtures and spare parts has been proposed. The structure and decision-making process for the formation of a set of spare assembly tools, devices, fixtures and spare parts have been described. A methodology and algorithm for creating an optimal set of spare tools, devices, and spare parts have been proposed. The methodology and algorithm take into account the statistical parameters of equipment failures and make it possible to optimize the costs of purchasing assembly equipment, control and verification equipment and spare parts for them.
Conclusion. The developed models of a set of spare assembly tools, devices, fixtures and spare parts, and the methodology and algorithm for creating the optimal set of spare assembly tools, devices, fixtures and spare parts make it possible to simplify management work at an enterprise of the motor-car construction cluster. The developed models, methodology and algorithm reduce the negative impact of factors related to the insufficient level of knowledge of decision makers and solve the problem of optimal management of the subsystem of spare tools, devices, fixtures and spare parts included in the organizational and technological system of mechanical assembly.