The article presents a brief description of the thermal power plant Berezovskaya GRES. Based on the results of the analysis, it was concluded that the entire workshop of the electrolysis plant needs to be retrofitted and equipment needs to be replaced or upgraded using modern industrial automation systems for technological processes. The necessary equipment has been selected for the designed process control system. An architectural solution of the system has been created that ensures the integration of controllers with the dispatch control and data collection system based on the Astra Linux operating system, as well as efficient operation and a high level of reliability. Electrical wiring diagrams for analog and digital inputs have been developed. The interface of the operator's automated workplace has been developed and the system has been modeled.

Keywords: industrial protocol, import substitution, controller, dispatch control and data collection

The rapid electrification of transport and energy systems imposes extreme and often conflicting requirements on the performance of lithium-ion batteries. The classical paradigm of step-by-step optimization of individual components (materials and designs) has reached its limits, facing the challenge of negative synergistic effects. Despite the availability of advanced methods, ranging from detailed physical and chemical models to machine learning algorithms, the field of energy storage system design remains fragmented. This article provides a critical analysis of three isolated domains: the empirical-synthetic approach, physical and mathematical modeling, and software methods. Systemic shortcomings have been identified, including the lack of end-to-end methodologies, the "black box" problem of ML solutions, extreme requirements for data and computational resources, and limited portability of solutions. The concept of a hybrid predictive platform is proposed, which purposefully integrates fast regression models for deterministic parameters and specialized neural networks for predicting complex nonlinear degradation processes. This integration allows for the consideration of a battery cell as a single entity, optimizing the trade-offs between key characteristics (capacity, power, lifespan, and safety) during the virtual design phase, resulting in reduced time and cost.

Keywords: energy storage systems, system approach, electrode materials, optimization, system design, machine learning, hybrid models, degradation prediction, and performance optimization

The increasing complexity of cyberattacks, often involving multiple vectors and aimed at achieving various goals, necessitates advanced modeling techniques to understand and predict attacker behavior. This paper proposes a formal approach to describe such attacks using a weakly connected oriented tree model that satisfies specific conditions. The model is designed to represent the attack surface and a collection of attack vectors, allowing for the analysis of possible attack scenarios. We introduce a sequential composition operation that combines sets of attack vectors, enabling the modeling of combined attacks. The study includes an example of an attack on an information system through a vulnerability that allows brute-force password guessing and phishing emails, with the goals of either obtaining a database or causing a denial of service. We investigate the set of attack scenarios generated by the model and formulate a rule for estimating the number of possible scenarios for an arbitrary number of attack vector sets. The proposed method facilitates preliminary analysis of attack scenarios, aiding cybersecurity professionals in making informed decisions about implementing additional defense mechanisms at various stages of an attack. The results demonstrate the applicability of the model for evaluating attack scenarios and provide a foundation for further research into more complex attack structures.

Keywords: attack modeling, information security, attack trajectory, attack scenario, attack vector, cybersecurity

The article discusses the problems of generating and updating software documentation using large language models. An overview of existing approaches is presented, including code summarization, systems using augmented generation approaches, assistants embedded in the development environment, and their limitations in terms of loss of architectural context and the occurrence of structural hallucinations. The concept of a graphically augmented documentation system is proposed, where the "source of truth" is a directed graph of knowledge about the code, built by static code analysis and analysis of library dependencies. An algorithm for constructing a graph is described, including node extraction, library bytecode analysis, and semantic link classification. The effectiveness of the approach was confirmed by experimental implementation on an industrial microservice, where the system demonstrated the ability to correctly restore the context and generate meaningful documentation without distorting the facts.

Keywords: automatic documentation, large language models, knowledge graph, augmented text generation, static analysis, semantic search, vector representation, microservice architecture, program structure interface, bytecode, technical documentation

A carbon fiber reinforced steel beam was tested, which was subjected to cyclic loads of varying intensity during bending during glue hardening and periodically tested in static mode to determine the increase in stiffness. Tests have shown that adhesion occurs at higher loads, the adhesion strength decreases, and when the shear stress in the adhesive layer is exceeded, adhesion does not occur. The flexibility of the adhesive layer also reduces the cross-section characteristics, but by no more than 7%. Lap shear tests performed on samples cut from reinforced beams confirmed the results of bending tests, showing that the greatest decrease in adhesion strength occurs at the ends of the beams, where the sliding and shear stresses are greatest.

Keywords: carbon fiber reinforcement, cyclic load, adhesive joint strength, lap shear test