An innovation-industrial cluster is an association of business entities for the purpose of their effective interaction and joint sustainable development. The most important component of the cluster development infrastructure is the digital platform of the industrial cluster – an information system designed to support the interaction of cluster members throughout its entire life cycle. Within the framework of the digital platform, applied and specific tasks for the cluster members are solved. The article is devoted to solving the problem of multilateral clearing of settlements between cluster members. The solution to the problem is the plan of mutual settlements between the cluster members, which minimizes the objective function that sets the value of the costs of counterparties in mutual settlements. Algorithms for the formation of the optimal plan are given. The examples of solving the multilateral clearing problems are considered.

Intellectualization of the modern economy is an objective process, which is naturally predetermined by the new quality of the role and place of a man in the system of economic relations. The transformation of a human being into simultaneously an objective, a mean, and a condition of economic activity obliges us to characterize the processes of individual and social reproduction in a new way. The trends of modern economic development are reflected in such concepts as intellectual resources, intellectual capital of a company. At the moment, despite the abundance of literature, there is no single generally accepted approach to the definition and evaluation of these economic categories. The article presents the approaches of various authors to the interpretation of the term “intellectual capital”. As a result of this research, the author’s designation of the company’s intellectual resources – intellectual holdings, their structure and evaluation methods are proposed.

The importance of knowledge testing in the educational process and its role in identifying gaps in students’ knowledge and modernizing education are noted. The contextual links between the concept of quality and educational testing, the representation of knowledge about the subject area using the Martynov triad are considered. The main focus is on the semantic web, where concepts represent testable knowledge elements. Concepts are classified into different types depending on the information they contain, such as general textual concept, list/classification/hierarchy, program code, formulaic concept, causal concept, and others. The generation of test questions is considered, the QueTabAI system is described, which automatically generates questions based on the presented knowledge about the subject area. Methods for generating questions with their compilation on the basis of grammatical analysis of the text are given. The signs or criteria that are identified through testing are listed. Various aspects and methods of feature formation are studied, allowing to make a decision on the need to fill in the knowledge gaps and modernize the educational process.

An important tool for solving problems associated with the migration of radionuclides is computer technology that makes it possible to predict the spread of radioactive contamination in soils, which are an important component of the biosphere. At the same time, most modern software for the prediction of the spread of radioactive contamination is based on idealizations that simplify the understanding of this process, while solving the problem of a comprehensive assessment of the biosphere requires the use of a full-fledged spatial model of radionuclide migration in soils. Such a model was developed by P. K. Shalkevich within SPS (Simulation of Processes in Soil) software. SPS uses the initial values of radionuclide concentrations, hydrological and thermal properties of soils and information about meteorological conditions as input data for forecasting. At the same time, the listed initial data must be previously collected, processed and converted into a form that the software able to work with. Such processes require significant intellectual and time costs. These costs negatively affect the possibility of generating operational forecasts of the radioactive situation, but can be significantly reduced by using systems for automated radiation monitoring of soils and automating input and processing of initial data when predicting the spatial migration of radionuclides in the appropriate software, what is considered in the present article.

An assessment of the intellectual potential of scientific personnel on the platform of electronic demography was carried out. The current situation in the field of forming population registers, conducting demographic studies, as well as a number of works related to the use of new sources of information and big data have been studied. Analyzed studies cover the assessment of human resources, the intellectual potential of the country and issues of scientific migration. To determine the factors influencing the intellectual potential of countries, an analysis of trends in demography and economic activity of the population, the level of education, the system of training and its financing was made. In order to monitor and predict scientific activity in accordance with the existing potential, to conduct analytical and statistical analysis, a Unified Electronic Information System on Scientific Personnel has been created. The article analyzes the intellectual potential of scientific personnel based on registry data on scientific personnel, which are clustered using the k-means method, which is a machine learning algorithm. Based on the results obtained, data on age groups, academic degrees, universities and the number of scientific publications were studied. Subsequent studies will take into account the issues of scientific productivity and scientific migration, which are of great importance in terms of assessing the country’s intellectual potential.

The paper proposes an approach to the individualization of user interfaces based on the integration of existing ontologies in the form of a single semantic model. The relevance of the work is due to the need to improve the efficiency and usability of user interfaces of intelligent systems. Guidelines for applying software individualization to achieve the highest possible level of usability based on ISO 9241-129:2010 and existing ontologies for implementing individualization are reviewed. A semantic model is developed to provide individualization of user interfaces of ostis-systems. The model is implemented within the framework of the Nika intelligent dialog assistant and is a reusable component, the use of which allows to reduce the cost of development of intelligent systems that require user interface individualization possibility.

The article describes an approach to implementing the ability of intelligent systems to self-learn through an intelligent framework for the development of artificial neural networks. A method of interaction between intelligent systems and a framework based on a library of reusable components is proposed, which allows to automatically design and train artificial neural networks based on a given problem specification. Based on the analysis of the activity of developers of artificial neural networks, a model of the problem solver of such a framework is described in the form of a hierarchy of actions for the development of artificial neural networks.

The article presents a three-dimensional model of the tissues of the human back in the ZBrush and SolidWorks software packages. Modeling of the spinal column with a bend, muscles, adipose tissue and skin was performed. Using the COMSOL Multiphysics environment, the effects of electrical stimulation on biological objects are modeled, and characteristics are determined. When modeling, in the properties of each biological tissue, the values of electrical conductivity and relative permittivity were set, the electrodes were adjusted, a grid was created to divide the models into smaller parts and elements, and the required frequency was adjusted. To verify the simulation results, a study was carried out on the patient, the calculation and analysis of the results obtained. The developed models can be used in clinical medicine to determine the strength of the stimulating current and set the parameters of electrical stimulation. When building a model, one can change the thickness of adipose tissue, skin, muscle and bone sizes, change the size of the electrodes, and thereby select the most optimal parameters for electrical stimulation. Models can be used in the development of the most effective method of electrical stimulation and the scheme for applying electrodes for a certain type of scoliosis.

With tight deadlines for designing and mastering the production of structurally complex products, the production of prototypes occupies a special place in their life cycle. On the one hand, this process crowns the design development, and on the other hand, it precedes the technological preparation of the main production. Despite the importance of the issues of developing a scientifically based model of technological preparation for the production of prototypes, they have not yet been adequately reflected in scientific research. This is partly due to ethical considerations, since in the field of information technology a developer, in some cases, cannot disclose the results of his research until a certain time. The purpose of the study was to develop an interface for an automated system for the technological preparation of the production of prototypes of structurally complex products, carried out to simplify the interaction of the technologist-designer with the system. During the research, an interface for an auto[1]mated system for structural analysis of prototypes of structurally complex products and a system for automated design of technological processes for manufacturing prototypes of structurally complex products were developed.