The article focuses on methods for reducing high inductance in power supply circuits using one of the IC substrate topologies with a high-speed interface as an example. The interface in question operates at a speed of 28.25 Gbit/s and imposes strict requirements on the parameters of the power supply inductance. The presented solutions are aimed at ensuring low values ​​of power supply inductance in conditions of high layout density and power integrity requirements for modern data transfer interfaces.

Keywords: power supply inductor, power system, low noise power supply, power supply impedance, analog power supply, serial interface, high speed interface, organic substrate, IC packaging

This article examines the use of a dual-circuit closed-loop system for pulsation combustion of solid fuel in agricultural services. The results of research on gas self-oscillations during wood waste combustion in a Helmholtz resonator-type installation are presented. It has been established that with certain geometric characteristics of the installation, a significant sound pressure level (up to 165 dB) can be achieved in the combustion chamber while maintaining a low noise level (up to 65 dB), which contributes to increased combustion efficiency and meets environmental requirements. Potential applications of this technology are proposed, including agricultural waste utilization, drying of agricultural products, and heating of greenhouse complexes and livestock facilities.

Keywords: Pulsation combustion, Helmholtz resonator, solid fuel, agricultural waste, energy efficiency, biomass utilization, agro-industrial complex.

The paper presents a review of the causes of phase shift formation in differential communication lines. A zigzag tracing method with an angle of 12° is proposed to compensate for the inhomogeneity of the glass fabric. A method for calculating the formation of skew in the length of conductors at turns with and without rounding is presented.

Keywords: differential pair, differential communication lines, signal phase shift, static skew, dynamic skew, delay, back drilling, non-uniformity effect, fiberglass weave, layout

The results of a study of induction wireless charging methods for batteries of unmanned aerial vehicles (UAVs) are presented. An experimental simulation of energy transfer using inductive coupling has been carried out. The main factors influencing the efficiency of the system are determined: the distance between the coils, the accuracy of their alignment, and heat losses. It is shown that energy losses with increasing distance reach 45%, and when the coils are shifted by 3 cm, the transmission efficiency decreases by more than 45%. Recommendations have been developed to improve efficiency, including optimizing coil materials, increasing the frequency of energy transmission, automating coil alignment, and introducing active cooling. The results obtained form the basis for further improvement of UAV wireless charging systems.

Keywords: wireless energy transmission, induction methods, resonant induction, unmanned aerial vehicles, optimization of charging systems

This article presents a conceptual model of the reconstructive solution of an industrial enterprise in the structure of a large industrial unit in the engineering industry. Based on the multifactorial analysis of the enterprise, a model was proposed that ensures the compliance of the reconstructed production environment with the updated requirements for industrial facilities located in the structure of dense urban buildings.

Keywords: industrial buildings, reconstruction of industrial buildings, architecture of industrial buildings, aesthetics of industrial buildings, conceptual models of industrial buildings

The architecture of a multi-agent system defines the basic principles of its formation and operation, including the format of the organizational structure representing a graph in which agents act as vertices, and the links between them are designated by edges. A common drawback of existing approaches to representing the architectures of multi-agent systems is the support of no more than two types of organizational structures, among which the optimal one for the given environmental parameters may be absent. This paper proposes a method for representing the architecture of a multi-agent system, implemented by borrowing the mechanisms of living nature, namely the principles of organizing animal communities. The proposed approach allows modeling organizational structures of the following types: "coalition", "team", "hierarchical structure", "federation", "congregation". To determine the optimal architecture of a multi-agent system, optimal for specific environmental conditions, it is possible to use a "genetic algorithm".

Keywords: multi-agent system, architecture, agent, organizational structure, optimization

The methods and approaches to reduce the wear of bearings and blades of electric generators are analyzed to increase the service life of the equipment, improve its reliability and efficiency. An analysis of the factors affecting wear is given, including mechanical, temperature and operational loads. Calculations are performed confirming the effectiveness of using modern materials, improved lubrication systems and optimized process modes. It is shown that the comprehensive implementation of the proposed solutions can significantly reduce the wear rate, reduce maintenance and repair costs, and ensure stable generator performance. The recommendations presented can serve as a basis for upgrading existing equipment and designing new power plants.

Keywords: building structures, metal structures, energy facilities, stress-strain state, technical expertise

This paper explores the development and application of a neuro-inspired automated system for greenhouse microclimate control. The relevance of the topic stems from the need to improve the resilience of agricultural production in the context of population growth and climate change. The proposed system architecture includes a hierarchical sensor network based on STM32 microcontrollers, an analysis module implemented on a Raspberry Pi 5 with neural network-based data processing, and a distributed actuator layer. The paper describes telemetry processing methods, device addressing and polling algorithms, as well as neural network models (YOLO and EfficientNetB3) used for plant disease diagnostics. An experimental evaluation of the classification model demonstrated high accuracy and confirmed the system’s capability for real-time operation.

Keywords: greenhouse automation, microclimate, neural network analysis, STM32, Raspberry Pi, deep learning, YOLO, EfficientNet, IoT, plant disease classification

The design of medical facilities requires careful coordination between different disciplines, especially when developing the section ""Technological Solutions"" (TS), which describes functional processes, equipment layout and compliance with sanitary standards. A common problem in this process is the lack of ready-made 3D families for specialized medical equipment in BIM systems such as Autodesk Revit. The purpose of this study is to develop an algorithm for creating equipment families based on a single image, which will eliminate time and resource constraints during manual modeling. To achieve this goal, the study examined modern design methods for TS and MEP sections, analyzed existing tools for creating families, and tested five neural network-based web applications capable of generating 3D models from 2D images. The proposed algorithm includes creating a 3D model based on images using artificial intelligence web tools, preprocessing the model in Autodesk 3ds Max, and importing the final geometry into a Revit family template. The algorithm was tested on a real example, an anaesthetic gas supply system, demonstrating the feasibility and effectiveness of the approach. Hyper 3D Rodin has been rated as the most effective tool for generation. The study concludes that integrating artificial intelligence into BIM workflows can significantly streamline the development of unique equipment families, reducing manual labor and improving project coordination.

Keywords: Revit family of equipment, medical equipment, neural network generation, 3D geometry of equipment, BIM, technological solutions