Month: August 2025

Key Words: Applied Artificial Intelligence; Generative Artificial Intelligence (GenAI); Large Language Models; Digital transformation.

Abstract. The paper gives a condensed overview of the industry’s current state-of-the-art artificial intelligence (AI) applications. From a business perspective, the critical issue of understanding the differences between basic AI and the new popular Generative AI (GenAI) is emphasized. Special attention is given to current and future technology trends, such as Causal AI, automated reasoning with knowledge graphs, Large Language Model (LLM)-based agents, Agentic AI, and their value-creation potential. The application landscape, defined mainly by the impressive record of basic AI after 2010 and the potential for mass-scale use of GenAI, is discussed. The paper also suggests a roadmap for big and small businesses to introduce an appropriate form of basic AI or GenAI.

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Key Words: Case-Base Reasoning; Risk Management; Fault Tree; System Control; Power Plant.

Abstract. The management of Energy Power Plants (PP) is a multifaceted technological process influenced by various factors, including environmental changes, the state of system control elements, and potential faults in sensors and other critical components. During the control of Power Plants, some failures in system devices (such as sensors, valves, and other essential components) can occur. These failures can lead to damage and malfunctions within the system control loops, ultimately causing the system to work unstably and rise risk situations. Early diagnosis and prediction of these failures are crucial for maintaining the safe and efficient operation of Energy Power Plants. The research introduces a new approach for diagnosing the state of the system and presents a mechanism for predicting some failures of control loop elements at an early stage. The proposed approach combines Fault Tree (FT) analysis with Case-Based Reasoning (CBR) in a way to provide a comprehensive system for prediction of fault devices detection. Using the previous knowledge for the technological characteristics of control devices elements – such as material wear, working time under high load, and contamination of sensors and photocells is used for forming of knowledge base-oriented system (CBR).

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Key Words: Steaming autoclaves; thermal balance; wooden prisms; energy consumption; energy efficiency.

Abstract. An approach for computing the energy consumption and energy efficiency of autoclaves during steaming of non-frozen wooden prisms intended for veneer production has been presented. The approach is based on the use of two personal mathematical models: 2D non-linear model of the unsteady distribution of the temperature in the central cross section of non-frozen prisms subjected to steaming at conductive boundary conditions, and stationary model of the thermal balance of autoclaves during steaming of wood materials in them. For numerical solving of the models and practical application of the suggested approach, a software packages were prepared in the calculation environment of Visual FORTRAN Professional and in Excel respectively. With the help of the first model, the durations of all of the 5 stages of the regimes for steaming beech prisms with cross section dimensions of 0.3 × 0.3 m, 0.4 × 0.4 m, 0.5 × 0.5 m, initial temperature of 0 °C, 10 °C, 20 °C and moisture content of 0.6 kg∙kg-1 were determined at maximum temperatures of the steaming medium equal to 130 °C.

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Key Words: Generalized predictive controller; multi-objective optimization; constant step scanning; tuning parameters.

Abstract. A multi-objective and multi-parametric optimization problem with interval constraints, linear inequality constraints and constraints on the values of the objective functions is formulated to determination of the tuning parameters in generalized predictive controller design. Quality indicators of the desired control system are optimization objectives. The problem is solved by modified methods of constant step scanning. The tunable parameters optimization problem is transformed into a single-objective constraint problem by methods of the vector criterion scalarization.

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