The use of modern digital information technologies, such as Data Mining, Data Science and Big Data, has caused an exponential growth in the volume of data, allowing to obtain new knowledge in various subject areas based on the information provided. In this regard, tasks related to pre-processing, intellectual analysis, visualization of large data sets have become especially relevant. Using the methods of intelligent analysis Unsupervised learning, the problem of detecting anomalies (outliers) in data arrays obtained from the Lycksele magnetic observatory, which is part of the international network INTERMAGNET, is solved. Since anomalies reflect changes in the Earth’s geomagnetic field, they are highly informative, which gives the solution to this problem great scientific and practical value. Anomalies in the designated data are not frequent enough, so they can be detected only in a large volume of processed information. The results of detecting anomalies using a graph neural network are presented. The MATLAB system is used as a software tool.

The relevance of the task of replenishing the arsenal of means for measuring air parameters of aircraft movement relative to the surrounding air environment is noted. These means should be characterized by a simple design, low weight and cost, the possibility of use on small-sized and ultra-light aircraft, manned, unmanned and remotely piloted aircraft of the aircraft configuration. The advantages of the system for measuring the air parameters of aircraft movement relative to the environment with one integrated non-protruding fuselage receiver of the incident air flow, with built-in converters of primary information parameters into electrical signals and a built-in computer that generates the output digital signals of the system are indicated. The relevance of studying the instrumental and methodological errors of the system channels is noted. Analytical models of instrumental errors of the system channels for measuring airborne parameters of aircraft movement with an integrated fuselage flow receiver are developed, allowing one to study the influence of errors of functional elements on the instrumental error of the measuring channels of the system and to select the element base of the system. Analytical models are obtained, an assessment is made of the methodological errors of the channels of the system for measuring the air parameters of aircraft movement with an integrated fuselage flow receiver, caused by the distortion of the incoming air flow at the installation site of the flow receiver during aircraft movement and flow around the fuselage, and a direction for reducing the methodological errors of the system channels is indicated.

Results of the study of the interaction of the foot with the support surface during walking in the phases of support and rolling are presented. The research is based on experimental data on flexion–extension–pronation and supination of the ankle joint and foot reactions when walking. The main attention is paid to the analysis of the transverse component of the reaction forces. It was found that it is advisable to model the shock components of the foot reaction forces using generalized Hermite functions, and the phase of the foot roll with a twisted elastic reinforced cylinder. The results of the study are used in the development of mechatronic ankle orthoses. They are aimed at developing methods for assessing and identifying flat feet in the early stages of development with the prospect of building rehabilitation maps

The main transmission schemes of modern vehicles are considered, the practice of their use by large concerns as part of electric vehicles is analyzed. The possibilities and advantages of using transmissions with variable gear ratios are shown, and the main problems affecting the efficiency of an electric vehicle as a whole are highlighted. Based on results of calculations, recommendations are developed regarding the selection of the main parameters of the electric vehicle transmission, depending on the requirements and operating conditions. The recommendations are aimed at increasing the efficiency and improving the traction characteristics of an electric vehicle. In the MATLAB Simulink environment, a model evaluation of a transmission with an unfixed gear ratio as part of a vehicle with an electric power plant was performed and an analysis of the possibility of using such a transmission was carried out. A method for determining the optimal transmission parameters based on the developed vehicle model in the Simulink environment is proposed.

The algorithmic structure of a wireless computing cluster based on the dynamic distribution of roles between its elements is described. As a result of performed analysis, it is revealed that the dynamic redistribution of roles in a wireless computing cluster during task execution increases fault tolerance. An algorithm is proposed that can become the basis for the development of wireless cluster models with increased fault tolerance. The algorithm effectiveness is demonstrated by an example of comparative analysis. For direct use, the algorithm must be modified and configured in accordance with technical requirements.