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Evaluating the stiffness of a cast strip for protecting a preparatory mine working
(2025) Podkopaiev, Serhii; Visyn, Olena; Fedorchuk-Moroz, Valentyna
The object of this study is the deforma-tion processes in a protective structure of the preparatory working, maintained in the excavated space of the excavation area. The task addressed was ensuring the stability of the preparatory working in a deep coal mine to improve the safety of miners and coal mining. The assessment of the strength of the cast strip for the protection of prepa-ratory workings in excavation areas has been substantiated.It was experimentally established that in the zone of active influence of mining pressure on the section 0 < l < 50 m behind the treatment face, there is an exponential dependence between the length of the work-ing l (m) and the relative change in the vol-ume δV of the protective structure. It charac-terizes the safe deformation resource of the cast strip. Within its limits, the process of gaining strength of the protective structure occurs. At δV < 0.18 and the failure rate of the arched flexible support ω< 0.2, the losses of the cross-sectional area of the working do not exceed 20 %. Under conditions when δV ≤ 0.22, the resistance of the protective structure increases, which makes it possible to limit the movement of lateral rocks on the contour of the working, ensuring its overall dimensions. In cases when δV > 0.22, and 0.22 < ω < 0.68, the losses of the cross-section-al area are more than 40 %. At a distance of l > 80 m behind the breakage face, the level of threat of roof collapses approaches a critical state, which is associated with an uncontrolled increase in lateral rock dis-placements due to the loss of strength of the cast strip.The cast strip performs the functions of a supporting structure only in a certain range of physical, mechanical, and defor-mation properties.The operational condition of the pre-paratory working is ensured within the deformation resource of the cast strip. After reaching the rated strength of the cast strip, its strength makes it possible to limit the movement of lateral rocks on the contour of the working and ensure its stability at a dis-tance of l ≤ 80 m along the length of the excavation section.
A Data-Driven Risk-Informed Decision Support Framework for Sustainable Municipal Organic Waste Management in Smart Cities
(2026-06-08) Rudynets, Mykola; Fedorchuk-Moroz, Valentyna
The rapid growth of organic waste volumes in urban areas and increasing environmental pressures necessitate the transition toward sustainable and risk-informed municipal waste management systems. This study aims to develop a data-driven decision support framework for the risk-informed management of municipal organic waste within the context of sustainable urban development. The proposed approach integrates multi-source municipal data, advanced preprocessing techniques, entropy-based feature weighting, and an ensemble of machine learning models, including Random Forest, Gradient Boosting, and XGBoost. An integrated environmental risk index is formulated to quantify the state of the waste management system and to support predictive analytics. The results demonstrate high predictive performance and reveal that key risk drivers include demographic pressure, transport accessibility, infrastructure characteristics, and seasonal variability of waste generation. The developed framework enables the integration of predictive risk analytics into municipal decision support systems, facilitating optimized waste collection logistics, infrastructure planning, and early identification of critical conditions. The findings confirm that data-driven approaches can significantly enhance the efficiency and adaptability of urban waste management systems. The proposed framework contributes to sustainable urban development by supporting circular economy principles and enabling proactive, risk-aware governance of municipal organic waste systems.
Review of Advances in Fire Extinguishing Based on Computer Vision Applications: Methods, Challenges, and Future Directions
(2025-10-16) Loboichenko, Valentyna; Fedorchuk-Moroz, Valentyna
This paper examines the state-of-the-art in fire suppression technologies based on computer vision applications in the subject areas of computer science and engineering. The study involves a two-stage analysis of publications using keywords. This paper presents a bibliographic analysis of scientific literature from the Scopus database using VOSviewer software and the author’s methodological approach. General keywords were used for the initial analysis of the dataset, followed by a more detailed study with additional criteria and specific keywords. The categories considered in the article are as follows: Firefighting Robots, Fire Detection, Fire Suppression, Aerial Vehicles, and Computer Vision. It is shown that the research includes technical aspects of fire robots and systems, as well as the improvement of their software and hardware. The subsequent review highlights the important role of computer vision in improving the efficiency and effectiveness of fire suppression systems. It is noted that key advances include the development of sophisticated fire detection algorithms and the implementation of automated fire suppression systems. The study also discusses the challenges and future directions in this field, emphasizing the need for continuous innovation and interdisciplinary collaboration. This review provides valuable information for researchers, engineers, and practitioners in the field of fire safety by offering a comprehensive overview of state-of-the-art technologies and their applications in fire suppression.

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