This article presents a research study dedicated to the application of the YOLOv8 neural network model for road sign detection. During the study, a model based on YOLOv8 was developed and trained, which successfully detects road signs in real-time. The article also presents the results of experiments in which the YOLOv8 model is compared to other widely used methods for sign detection. The obtained results have practical significance in the field of road traffic safety, offering an innovative approach to automatic road sign detection, which contributes to improving speed control, attentiveness, and reducing accidents on the roads.

Keywords: machine learning, road signs, convolutional neural networks, image recognition

The paper presents the research results of the influence of materials, which change a phase on the exterior surface of the outer shell, on forming of the heat flow mean value for one year, calculated on change of the exterior temperature per every three hours. The correlation between heat flow and characteristics of the phase-change material was studied. Such materials increase heat lag of the outer shell and allow reducing the amount of electric energy required to keeping of indoor climate. The paper presents the research results of the influence of materials, which change a phase on the exterior surface of the outer shell, on forming of the heat flow mean value for one year, calculated on change of the exterior temperature per every three hours. The correlation between heat flow and characteristics of the phase-change material was studied. Such materials increase heat lag of the outer shell and allow reducing the amount of electric energy required to keeping of indoor climate. Based on the implementation of the method of math planning of experiments the sufficient math model of the dependence of the heat flow density on the material coating thickness, latent heat of transition, heating capacity value and thermal conductivity before and after phase change was made. The mathematical model coefficients were interpreted and best values of very factors based on desirability function were determined. Based on these data the selection of the material with phase-change temperature of about 0 0C for Krasnoyarsk was made.

Keywords: energy efficiency, heat flow, heat saving, heat-storing material, phase-change heat storing, phase-change material