CSIT - 2023 рік
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Перегляд CSIT - 2023 рік за Автор "Hovorushchenko, T."
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Документ Decision-making method for temperature control in the smart home(Хмельницький національний університет, 2023) Hovorushchenko, T.; Aleksov, S.; Popov, Y.; Bachuk, V.The current challenge is to provide automatic decision support in a smart home. A study of the top solutions of well-known smart homes has shown that existing solutions usually do not provide for fully automatic control in a smart home, but are focused either on automatic control in conjunction with manual control or user-controlled control. Therefore, the goal of this study is to support decision-making for fully automatic temperature control in a smart home. Human well-being and performance depend on the meteorological conditions of the environment in which a person is located. The most important condition for high performance, rest, and health is the creation and maintenance of an optimal home microclimate. One of the main parameters of the indoor microclimate is temperature. The room temperature control subsystem ensures the optimal temperature level and allows for individual adjustment for each family member. The developed rules for determining the optimal room temperature allow you to evaluate the existing temperature parameters for further automatic operation of the smart home temperature control subsystem in residential premises of various types. The purpose of the temperature control subsystem is to provide comfortable conditions in residential premises of various types in terms of their temperature regime. The developed decision-making method for temperature control in a smart home, which is the basis of the smart home temperature control subsystem, provides a comfortable and optimal (taking into account building and sanitary and hygienic standards) temperature in the corresponding living space. The results of the functioning of the smart home temperature control decision-making method have shown that the developed method provides for the recognition of situations (optimal temperature, low temperature, high temperature) and support for decision-making on the temperature regime in a certain type of residential space (turning on heating devices, turning on cooling devices, no action, etc.).Документ Method of creating an information system for monitoring infectious patients(Хмельницький національний університет, 2023) Hovorushchenko, T.; Zabelina, I.; Rei, K.; Hovorushchenko, O.In the context of the COVID-19 pandemic, infectious disease information systems are widely used and promoted to prevent the spread of the pandemic (mainly in the form of mobile applications). Many countries have offered their apps to improve contact tracing and thus reduce the number of infections. However, the level of adoption of such applications has been and remains relatively low, which, obviously, given their massive use and effectiveness, has been largely influenced by issues related to privacy and anonymity, as well as the perception of potential users of the price-benefit ratio. Thus, the task of creating information systems for monitoring infectious patients is still relevant today. Therefore, our study is devoted to the development of a method and an information system for monitoring infectious patients. The article develops a method for creating an information system for monitoring infectious patients, which, unlike the known ones, is based on intelligent analysis of data on the geolocation of patients and contact persons, and provides the ability to design an information system for controlling infectious patients. The purpose of the information system for monitoring infectious patients is to prevent the spread of epidemics and pandemics by tracking patient contacts and reducing the number of infections. The tasks of the information system for monitoring infectious patients are to track the self-isolation of infectious patients and their contacts, identify the most "infected" buildings, districts, cities, etc. based on intelligent analysis of data on infectious patients and their contacts. The designed mobile-oriented information system for monitoring infectious patients can be used to prevent the spread of the pandemic by tracking contacts and reducing the number of infections. The design of screen forms, reports, implementation, testing and commissioning of the information system for monitoring infectious patients will be carried out by the authors in the course of their further research.Документ Selection of the artificial intelligence component for consultative and diagnostic information technology for glaucoma diagnosis(Хмельницький національний університет, 2023) Hovorushchenko, T.; Kysil, V.; Говорущенко, Т.; Кисіль, В.The most important areas of application of consultative and diagnostic systems are urgent and life-threatening conditions characterized by a lack of time, limited opportunities for examination and consultations, and often little clinical symptoms with a high level of threat to the patient's life and the rapid pace of development of the process. The experience of using consultative and diagnostic systems proves a significant improvement in the quality of diagnostics, which not only reduces unjustified losses, but also allows more effective use of aid resources, regulates the volume of necessary research, and finally, increases the professional level of doctors for whom such a system serves at the same time and educational. Consultative diagnostic systems and technologies are currently rarely and insufficiently used in ophthalmology, although the field of ophthalmology in general and glaucoma diagnosis in particular are in great need of them. Currently, the problem of using artificial intelligence for the problem of glaucoma analysis is faced with the fact that neural networks themselves and the methods of their use are not made suitable for mass use, with the complexity of development for certain models, with the inaccessibility for mass use, and the difficulty of collecting data for training neural models due to “confidentiality" of data. There is also the issue of cost and diagnostic availability — the availability of a trained professional, the means to collect data, and the time it takes for a patient to receive a diagnosis. The author's further research will be aimed at creating the neural network itself for the diagnosis of glaucoma with different approaches from the available data types for each individual case, as well as creating programs and instructions for deploying such a neural network in places of use and using it with minimal requirements and resource needs. Compared to other similar products, this will be such an introduction of artificial intelligence that will allow to incorporate all the available experience into a small number of lines of code and will have pros in low budget and mass use.