Ufa State Aviation Technical University

The problem of controlling a multidimensional object with one control action and a channel selector is considered. It is shown that an effective means of constructing such logical-dynamic systems is the alignment of dynamic characteristics of individual control channels due to feedback correction. The synthesis of fuel consumption control channels for gas turbine engines is carried out. The simulation results are presented. The correspondence of the results obtained to the characteristics of the adaptive system is shown.

The accuracy of determining coordinates in global positioning systems is determined by the number of satellites simultaneously visible to the consumer's navigation equipment. Over most of the earth's surface, there are up to 11 GLONASS satellites above the horizon at the same time, but the signal-to-noise ratio in the communication channel required for error-free information reception is often ensured only for 2-4 satellites. To improve the positioning accuracy, it is proposed to use the holographic noise-immune coding method based on the holographic representation of the digital signal. The message coding process is a mathematical modeling of a hologram created in virtual space by a wave from the input signal source. It is shown that the holographic representation of the signal has significantly greater noise immunity and allows restoring the original digital combination when most of the code message is lost and when the coded signal is distorted by noise several times exceeding the signal level. The studies have shown that the introduction of holographic coding in the GLONASS satellite communication channel will enable consumer navigation equipment to receive information from a larger number of satellites, which will significantly improve the positioning accuracy. In a common situation where the required signal-to-noise ratio is maintained for only 4 GLONASS satellites, the positioning error exceeds 10 meters. Using holographic coding in the same situation, information from 9 satellites will be decoded without error, and the positioning error will be about 2 meters.

The study objective is to increase the information value, accuracy and reliability of the experimental assessment results of extreme pressure and antifriction properties of the tested materials. A brief analysis of the work on the creation of test tribo-technical equipment is given. The difference between the designs of friction machines for testing using Reichert and Timken tests is shown. The design of an upgraded friction machine for determining extreme pressure, antifriction and anti-wear properties of lubricants is presented. In the proposed installation, the radial force on the friction unit ("roller - ring" or "bar – ring") is generated by a mechanism of even loading, and the assessment of extreme pressure lubricants is determined at the moment of gripping the rubbing samples, at which the motor shaft stops. As a result of upgrading the machine, it became possible to measure the friction force, the normal load and to read the friction factor, both for the lubricants under study and for friction pairs consisting of structural and instrumental materials. The results of comparative tests on the upgraded friction machine for lubricating and cooling liquids with different contents of extreme pressure, antifriction and anti-wear additives are presented. 
 A new friction machine design based on Reichert machine is developed, which allows testing structural and lubricating materials for friction and wear using both Reichert and Timken tests. At the same time, the accuracy of determining tribo-engineering characteristics of the tested materials is increased. It is found that as a result of equipping the friction machine with an even loading system and force measuring sensors, it becomes possible to determine extreme pressure and anti-friction properties of lubricants and structural materials, as well as to estimate the value of the friction factor.

The main points of developing self-supporting creative center of Ufa Aviation Institute - the management company of the industrial park HTTS UAI – ROSOIL are described. The main types of its activities are shown.

The physicochemical and tribological parameters of the ash-free additives obtained in the laboratory are given. It is shown that they have high extreme pressure properties and low ash content. The results of comparative laboratory tests of tribo-engineering characteristics of new additives of Russian and foreign production are presented. It is found out that the new additives in terms of maximum load capacity are not worse than imported analogues and can be used to increase the extreme pressure properties of lubricants for various purposes (including ash-free ones) instead of their imported analogues. A pilot batch of additives containing 45% sulfur is prepared and tested.

ABSTRACTThe purpose of this study is to increase the efficiency of the analysis process and the objectivity of decision-making on the final assessment, showing the quality of student research works based on the use of an automated text analysis software product. The total number of evaluated research papers was more than 300 (average age of students: 21.6; SD = 34). During the experiment, the effectiveness of the software product Multifunctional Text Analyser (MTA) was tested on the specified sample. The text of the analysed research works can be assessed as qualitative if the complex indicator of the text fragments congruence of the work exceeds 70%. The current article can be used as a methodological and theoretical basis for implementing the principles of academic virtue in institutions of higher education.

The article describes an approach to simulating a microring resonator structure on the silicon nitride integrated photonics platform when exposed to various hazardous to human health gases. We simulated various gases by changing the refractive index of the medium surrounding the resonator from 1 (vacuum) to 1.001768 (CCl₄). The microring structure resonant wavelengths varied for various gases, and the quality factor, sensitivity, and intrinsic detection limit were determined. The simulation results show that it is possible to detect a wide range of gases hazardous to human health, including carbon tetrachloride, mercury vapor, carbon monoxide, and nitrogen monoxide, using the developed sensor. However, it is impossible to distinguish the last two gases based on the results of the current work using the SiN platform. Coatings are one of the potential ways to improve the designed sensor for detecting these gases.

Intelligent automatic diagnosis of diseases, which acts as a recommendation system for diagnosticians, reduces the burden on medical personnel and potentially reduces the impact of the human factor. This circumstance is especially true against the background of rejuvenation of retinal diseases, in particular age-related macular degeneration. In this article, we analysed how neural network models and dataset dimensionality affect the effectiveness of an intelligent diagnostic algorithm for three stages of age-related macular degeneration based on optical coherence tomography images. We identified the advantages and disadvantages of convolutional and recurrent neural networks when dealing with each stage of the disease, as well as different dataset sizes. Based on the obtained information, we concluded the most effective neural network architecture in terms of achievable specificity and sensitivity values, as well as the impact of augmentation for increasing the original dataset on the overall generalization ability of the algorithm.

The article is devoted to the financial and legal aspects of the dividend policy of companies in modern business conditions. Dividends are one of the most important sources of income for shareholders of companies, and the dividend policy, which determines the distribution of profits between shareholders and the company, is of great importance for investors, analysts, managers and other financial market participants. Today's conditions in which companies operate are characterized by uncertainty and rapidly changing market conditions. In such circumstances, the effectiveness of the company's dividend policy can greatly affect its financial performance and market value. Therefore, understanding the current trends and opportunities of the dividend policy is a key factor in successful corporate financial management. This article discusses the main aspects of the dividend policy, including its role in the corporate governance system, the specifics of the formation and modification of the dividend policy, taking into account legal restrictions and opportunities for the company