A problem of automated image processing of transmission electron microscopy and its application value is considered in this paper. An automated algorithm for estimating the interplanar distances of the crystal structure of a substance from transmission electron microscopy images is proposed. The software implementation of the algorithm was developed and tested on several raster images, and the evaluation results were compared with the results obtained using the specialized software named Gatan Microscopy Suite v.1.8. The high degree of coincidence of the results showed the viability of the proposed approach and the prospects of its further development in the area of transmission electron microscopy images processing.

Modern requirements for educational technologies are flexibility and adaptability, with the consideration of the student’s individual characteristics, learning style and basic competencies. The most important resource is time, therefore, shortening the training time and obtaining the most useful and complementary professional competencies and knowledge is an urgent and important task. The article discusses the concept of metadesign as a means for building learning paths, and examines the design and platform application based on its principles. Implementing metadesign principles is demonstrated on the example of the educational trajectory while training software developers. Forming the learning paths within the trajectory using the created educational platform is considered. The functional requirements for the educational platform are stated. The principles of building an educational trajectory within the framework of the platform using modern educational trends and simulators are described.

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The article deals with the problem of multi-criteria decision-making problems, which are characterized by a large number of options and alternatives. It is proposed to use visual filtering of graphic images describing the corresponding alternatives as one of the stages in decision-making in such tasks. The approaches and requirements for the construction of graphic images of alternatives are considered. Describes the steps and algorithms for constructing visual images of alternatives, based on the radial and pie charts, and include the normalization procedure. It describes software that implements the proposed algorithms, as well as providing interactive interaction with an expert for visual filtering of multi-criteria alternatives. Additionally, the capabilities of the developed software are described, which include filtering alternatives based on threshold values, as well as the possibility of conducting a series of experiments in order to obtain the union or intersection of filtered sets of alternatives. A synthetic test for filtering 201 alternatives is described, each of which is described by 15 criteria. As a result of a series of experiments, this choice set was reduced by about 28 times. A description is also given of an experiment on visual filtering of real alternatives that describe estimates of the accuracy of calculating inviscid flow around a cone using several OpenFoam solvers. Each solver is characterized by 288 criteria, and according to the results of visual filtering, the advantage in the accuracy of the calculations of two solvers over the others is clearly established.

The article describes the solution to the problem of teaching programming skills using modern techniques and additional software. It is proposed to use simulation modeling of interaction developed by users as part of the training of intellectual agents in a competitive form that implement various algorithms as the main approach to the solution. Intellectual agents are presented in the form of artificial intelligence developed by platform users, which interacts with other intellectual agents following the rules of the developed scenario for the competition. Scenarios provide a set of capabilities for intelligent agents, an interaction environment, and a set of constraints that participants follow. To support this simulation, it is proposed to use a specialized software platform. The platform allows organizers to develop scenarios with a unique set of rules, and additional platform tools speed up development and allow organizers to implement visual display to users that can be used to show competitive process. A set of built-in platform tools allows organizers to focus directly on the rules of the competition, since the platform provides communication with participants and additional tools for calculating the results of the competition. In additional there is a set of basic competition systems on the platform. However, if necessary, the organizers can present their own competition format and implement it separately. The article describes the developed platform for teaching and holding competitions in artificial intelligence. The article also examines a number of scenarios and intelligent agents.