Vol 31, No 3 (2025)

The research is devoted to the modification of the routing algorithm to optimize signal routing at the design stage of designing ultra-large integrated circuits (VLSI). The relevance of the study is due to the need to improve the design efficiency and improve the operational characteristics of VLSI. А modified genetic algorithm with improved encoding and decoding mechanisms has been developed, which increases the accuracy and efficiency of signal routing in conditions of limited computing resources. As a modification, a block for dynamically changing time delays at the stages of implementation of selection and crossing operators is integrated into the algorithm, due to the adjustment of coefficients depending on the current state of the network. А software environment was built and a computational experiment was conducted. А comparative analysis with known methods has shown that the developed modified algorithm minimizes delays in signal routing and improves overall network efficiency, which confirms its high adaptability and potential for integration into modern VLSI design systems.

A method and algorithm for processing signal information from multisensor system in tasks of monitoring the quality of objects was proposed. The developed method was tested on a data set obtained during an experiment using an array of potentiometric sensors on real industrial samples of the analyzed objects. Identification quality indicators were compared with those previously known in the world scientific literature. As a result of applying the developed approach, an increase in the precision of the analysis is observed due to the usage in the monitoring system of time series values for previous points in time and applying of weighting coefficients for the significance of measurement results. The described approach can be used at "Industry 4.0" enterprises in software that provides quality monitoring of production processes, including in real time, as well as for processing data from a multisensor system during express analysis of samples.

Responding to threats to information security in cyber-physical systems is associated with the accumulation of knowledge about the precedents of violations. The factors of influence are both informational and spatiotemporal objects and relationships. Information processes significantly depend on the information generated by sensors, as well as transmitted to the executive equipment. Due to the incompleteness and uncertainty of the data, it seems rational to involve intelligent approaches to predicting dangerous situations and developing solutions to block them. In this paper, we propose a method based on a special model for presenting the experience of analyzing precedents and a model of a fuzzy periodic graph. The precedent of experience is described by a two-component model, which includes the center and the permissible transformations of the center in a given semantic context. The center is a spatiotemporal situation reflecting the connections and relationships between information objects. Acceptable transformations are a set of areas of possible location of objects and connections in the spatial and temporal boundaries of a cyberphysical object. The search for a solution to block the threat is based on a comparison of known and problematic situations. А distinctive feature of the comparison is the transformation of a known situation into an analyzed location. This is realized by evaluating the connectivity and reachability of vertices of a fuzzy graph of objects and relations of a known precedent. Connectivity is interpreted as a necessary condition for the implementation of a threat. Reachability displays vulnerabilities that can trigger a threat. The proposed method can be used both for the classification of abnormal states and for the construction of solutions in the event of incidents. The limits of the practical applicability of the proposed method are discussed. An application example is considered.

The article discusses the implementation of a system for displaying content in hypertext format on screens of different resolutions and orientations in relation to an educational institution, using both Smart TV (the built-in browser of modern TV) and a player connected to Digital Signage screens. In system design, the main emphasis (and, as a result, the key task) is on the absence of duplication of content for different types of output screens (including interactive touch kiosks), which is especially important because the implemented system will be built on free, open-source technologies and integrated into the current university website, which no other proprietary Digital Signage software system can offer. Compromise methods for displaying graphic images (related to different resolutions of graphic images and screen orientations) and video materials are considered and proposed based on the experience gained during testing of the system prototype. The basic principles of adaptation are also considered, in which content intended primarily for a university website can, without a third-party administrator (and also, in some cases, with minimal intervention) be displayed on corporate TV and touch interactive kiosks of universities thanks to the use of cascading style sheets (CSS), relative units (vh, vw, vmin, vmax) and tags introduced in HTML5.

The operation of non-trivial equipment requires the preparation of accompanying operational documentation for it. The process of its generation and modernization can be significantly complicated in cases of developing documentation for a line of operating equipment. In this case, when developing documentation, it is advisable to use the concept of publication from a single source. Its use will reduce documentation development time, minimize the likelihood of errors and increase the speed of documentation modernization. The above applies to the case of developing separate copies of documentation for each of the equipment options in the line.

This paper presents an energy-efficient architecture for wireless body area networks (WBANs) and a novel data transmission method that leverages the human body as a transmission medium. An experimental investigation is conducted to validate the energy efficiency of the proposed data transmission approach, which replaces traditional radio frequency (RF) methods. The results demonstrate a significant reduction in power consumption compared to Bluetooth Low Energy (BLE), with a 7-fold decrease, and ZigBee, with a 14-fold decrease.