The aim of this paper is to present a methodology for the calculation of the R-L parameters of a model of a nonlinear hysteretic inductor. The methodology is based on the analysis of the instantaneous magnetising power calculated from the hysteresis loop of the inductor and is completely developed in the time domain. The instantaneous magnetising power is firstly separated into the oscillatory and absorbed components. Thereafter, the parameter R is calculated using the absorbed component and the parameter L using the oscillatory component. The methodology is validated through the comparison of the results for parameters R and L obtained with the proposed method and the existing method based on the Poynting theorem. The validation is demonstrated on the specific simulated cases with idealised parameters of a nonlinear circuit. Additionally, the paper presents results for the parameters R and L calculated from the hysteresis loops measured at frequencies from 1 to 300 Hz. Furthermore, the fitting functions representing the variation of these parameters with the rate of change of magnetic flux density, and the corresponding results, are presented in the paper. A discussion of all the results presented and applicability of the methodology proposed, as well as the concluding remarks, are given thereafter.

The use of waste wood and agricultural biomass as renewable energy sources has in recent years been a practical and reliable way to obtain energy in most EU countries. Numerous scientific and practical researches are focused on the possibilities of using different sources of waste wood and plant biomass for energy purposes, as well as for other possible needs. A well- planned supply chain of waste wood and plant biomass in Serbia, with appropriate preparatory technologies, can significantly influence the rational use of available resources. This paper presents an analysis of the requirements for the use of available resources of waste wood and agricultural biomass in Serbia for appropriate purposes.

This research explores the role of Business Intelligence (BI) in optimizing public procurement processes. It examines key BI concepts, including data integration, analysis, and decision support, and highlights their impact on improving transparency and efficiency in procurement planning. The study demonstrates how BI tools facilitate faster and more informed decision-making, minimizing risks and enhancing operational effectiveness. By leveraging data analytics and intelligent systems, organizations can streamline procurement workflows, reduce costs, and ensure compliance with regulatory frameworks. The findings underscore the significance of BI in modern procurement strategies, offering insights into best practices and potential advancements in the field.

The report provides a historical overview of the topic, examines the physical basis of electron beam production, thermal emission and treatment area, types of electron beam treatments and the state of technology, types, development and potential of equipment and its application in practice. The advantages and disadvantages are analyzed and the main conclusion is made that the wavelength of the beam determines and is commensurate with the resolution and size of the processed components.