2025
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Перегляд 2025 за Автор "Stenin, A."
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Документ Відкритий доступ Exergetic calculation of the efficiency of heat pump installations for a private building(КПІ ім. Ігоря Сікорського, 2025) Stenin, A.; Pasko, V.; Soldatova, M.; Drozdovich, I.The models and methods proposed in most of the works for evaluating the energy efficiency of ground-based heating systems for designers and implementers of heat supply systems for residential buildings are quite complex and highly specialized. Therefore, it is necessary to have a fairly simple and convenient in practical use mathematical model for assessing the energy efficiency of the heat pump installation for the selected scheme of geothermal heat supply. In this article, an exergetic calculation of thecoefficient of the degree of thermodynamic perfection is proposed for choosing the appropriate the heat pump for the selected scheme and real operating conditions.Документ Відкритий доступ Improving the qualifications of doctors on the base of intelligent decision support systems(КПІ ім. Ігоря Сікорського, 2025) Stenin, A.; Pasko, V.; Lisovychenko, O.; Soldatov, V.The development of medical intelligent decision-making support systems (IDSS) provides an opportunity not only for advisory assistance at various stages of the medical and diagnostic process, but also the opportunity to improve the qualifications of doctors when using IDSS. The use of IDSS contributes to the acquisition of additional knowledge by the doctor in the case of an incomplete manifestation of the clinical picture and in complex cases, in particular, in rare diseases. This article proposes the structure and composition of the IDSS of medicinal decisions, for which it is proposed to use a combined approach based on the frame structure of the knowledge model using production rules. The production rules issue an explanation understandable to the doctor, which includes a list of signs, taking into account which the diagnostic hypothesis is formed. As an example, several production rules are given regarding the identification of possible diseases of patients based on the level of general blood analysis indicators. The essence of the mechanism of fuzzy logical derivation is to determine the dependence of the output logistic variable (consequent) on the corresponding input logistic variable (antecedent) taking into account the reliability factor and the knowledge importance factor.