The purpose of the work is to formalize the concepts and principles that form the basis of the mathematical model for controlling the life cycles of intelligent systems. The controlling elements formal description is part of a universal model of such systems. This model part is important for implementing complex intelligent systems with a large amount and diversity of knowledge flows and knowledge processing schemes performed simultaneously. The other two areas of this model are associated with a unified logical-algebraic description of the concept of knowledge representation formalism, as well as concepts related to the architecture of intelligent systems. Formalization of ideas about control in intelligent systems is carried out according to the principle of a hierarchy of controlling elements and processes. The elements of the mathematical model that implements this principle correspond to event-controlled automata with infinite memory and associated algorithms for the automata simulation in specific systems. The objectives of the research include the development of formats for describing the hierarchy of diagrams and assemblies of control elements in a universal model of an intelligent system, and diagrams of algorithms for the functioning of intelligent systems based on the processing of model descriptions. Models of intelligent system control elements hierarchy and execution algorithms for the sets of activated control elements for the implementation time of life cycles of intelligent systems are described by extending the special ontological structures. These structures implement customizations of universal control model

The paper studies the effectiveness of using large language models to detect common types of vulnerabilities in Python program code. In particular, using the technique of low-rank adaptation of (LoRA) models, fine-tuning of the CodeBERT-python model is performed. To train the models, we use the author's dataset, which consists of marked-up program code in Python. The trained models are used to detect and classify potential vulnerabilities. To evaluate the effectiveness of models, the number of false positives, false negatives, true positives and true negatives is determined. Also, accuracy, recall and F1-measures are calculated on a test data set for various configurations of model training macro parameters

The article deals with the development of a method for ensuring the control of deviations in the automation of business processes on the example of the system of analytical control and forecasting in the electric power industry. On the basis of this method, it is possible to build a digital twin that allows one to control deviations of the developed business process models and create a ready model of the subject area of the information system depending on changes in business processes. In the article it is realized on the example of the rule of selection of the most accurate predictive results. The performed efficiency analysis showed that the most accurate result (with an error of 8.8 %) will be displayed in the web interface of the system of analytical control and power forecasting.

To ensure one of the key principles of the development of the state, namely, the achievement of technological sovereignty, it is necessary to build all spheres of life at a qualitatively new technological level, own their own innova¬tive technologies. In modern sanctions realities, the development of enterprises in the Russian Federation cannot be carried out without coordination with partners from Russia, as well as from China, India and other friendly countries. The selection of potential partners can be carried out on the basis of the identified importance of their patented technological solutions. Further ranking of potential partners can be carried out on the basis of the identified importance of their patented technologies. At the same time, in this study it is proposed to use three criteria: the mass nature of the subject of the patented invention in the current period; the predicted mass nature of the subject (technology) in the future period; the popularity of the patent in the information field. The authors have developed a method for predicting the importance of patented technologies and its software implementation.

For effective stimulation of the activities of organizations, collectives, and individual scientists in the field of scientific, research, experimental, design, and technological work, it is necessary to rely on up-to-date, comprehensive, and verified data on the results obtained from these activities. The article describes an approach to the organization of processes for input and multi-level verification of data into information-analytical scientometric systems used to support decision-making in scientific organizations.

Content management system NetCat 6 provides the development of adaptive websites with CSS3 layout for desktops and mobile devices. Websites are created in no-code mode based on ready-made components; a programming developer is provided with an API for creating components with new functionality. The possibilities provided by NetCat 6 are discussed on the example of a catalog of reconstructed houses with a geoinformation function. The development method consists in creating an interactive prototype of the site by a designer, with subsequent refinement of its automatically generated codes by a programmer. The site was created within the waterfall model of software development that turns project management to an unimprovable simplicity. The practical significance of the work lies in the application of the most predictable software development model in terms of time and cost to create a site with non-standard functionality and adaptive design. An improvement of the NetCat toolkit is proposed to increase the efficiency of the proposed approach.

The problem of constructing a HIL simulation stand for researching a technological process using programmable logic controller (PLC) "Baget" is described in this article. Issues of modeling technological processes are currently extremely relevant, since modeling is a mandatory stage in the automated process control systems development. An adequate model of the technological process allows debugging and verification of automated process control system algorithms without using real equipment, reducing financial costs and the probability of emergency situations. The HIL modeling method involves partial use of real equipment as part of the model. The inclusion of standard components of the original object in the model does not require detailed mathematical model and at the same time provides a more complete correspondence to the original. Due to using a computer from the original object, the stand software operates under conditions close to the real technological process, which improves the quality of the simulation results. The HIL modeling stand includes the following components: control computer of automated process control system; programmable logic controller PLC "Baget"; simulation computer. The stand for the basic element of an automated process control system allows to speed up the process of prototyping and debugging even in the case of complex systems, because it will be easier to build the entire system from correctly functioning elements. Another advantage of this approach is that the stand is not tied to a specific type of technological process or to a narrow area of production — the stand allows the use of ready-made models, the development of new models, and the inclusion of various function libraries. The simplicity of the stand design with this approach is combined with a full range of functionality. By connecting additional software, you can create more complicated and detaild model. This stand is also capable of serving both for debugging PLC algorithms and as a simulator for maintenance personnel of a real control object, because the stand operator can simulate failures and errors of standard equipment, emergency situations at the control object. Using C and JavaScript programming languages for development ensures portability and ease of expanding the capabilities of the modeling software. The development of complex systems based on HIL modeling allows saving resources and effectively solving assigned problems, therefore the proposed approach to building stands will be in demand in the process of developing an automated process control system based on the PLC "Baget".

The study considers modeling and automating the processes of data collection and processing in a smart medical ward. We examined the existing solutions in the field of smart wards. Such solutions allow to increase patient safety, improve the quality of their treatment, optimize workflows in inpatient facilities, reduce costs and increase comfort of the patients. At the same time, these solutions are focused on particular tasks, use varied technologies and protocols, and implement single scenarios for the functioning of the ward. This is not enough to create an integrated approach to automating patient treatment in smart wards, as there are problems of compatibility and integration of heterogeneous modules, systems and protocols, which leads to growing costs and reduced profitability. To avoid these problems, the complex must be implemented within a single framework with typical components, connections, and operation scenarios. To do this, at the first stage of the work, a conceptual model of a smart room is proposed, a description of its components is given, and scenarios of their functioning are provided. An algorithm for collecting and processing data for diagnosis and stratification of diseases has also been developed, a simulation of the smart ward operation has been carried out, and it showed that the implementation of data collection and processing using smart components can reduce the processing time at least twice.

A description of an information system is presented that provides an assessment of the ability of the «interface-operator» complex to form control commands for an ergatic system in the absence of visual control of the control process

The article describes a mathematical modeling method for detecting the fuzzy occurrence of dangerous events. A distinctive feature of this study is the assessment of the occurrence of dangerous events based on the use of fuzzy sets. Each dangerous event is associated with a subset of the set of sensors. The data is converted into some characteristics of the occurrence of an event, which are then fed to the input of the membership function of a set of dangerous events. In addition, an example of the application of this mathematical model is given, demonstrating its advantages and possibilities for its expansion. The appendix contains a table of possible dangerous events associ­ated with the functioning of the forest robot. The presented model can also be used to detect the fuzzy occurrence of dangerous events associated with human movement. The developed mathematical modeling method for detecting the occurrence of dangerous events has many applications. In particular, it contributes to the creation of a digital assistant to expand the capabilities of the senses of a remote human operator, and can also be used to control a mobile robot.