Перегляд за Автор "Alekseiko, V."

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  • Ескіз
    Документ
    Information system for earth’s surface temperature forecasting using machine learning technologies
    (Хмельницький національний університет, 2024) Hovorushchenko, T.; Alekseiko, V.; Shvaiko , V.; Ilchyshyna, J.; Kuzmin, A.
    Temperature forecasting is a topical issue in many areas of human life. In particular, climate change directly affects agriculture, energy, infrastructure, health care, logistics, and tourism. Anticipating future changes allows you to better prepare for challenges and minimize risks. The paper presents an information system for forecasting the temperature of the Earth’s surface using machine learning technologies. The forecast is formed by a model adapted to the region, by learning on the basis of historical data and tracking the most inherent patterns. The selection and training of the model was carried out on the basis of the analysis of the characteristics of climatic zones, according to the Köppen classification. A comparison of the performance of models for forecasting the average monthly temperatures of the earth’s surface in different climatic zones was carried out. The analysis of scientific publications confirmed the relevance of the chosen research topic. Modern approaches to forecasting climatic indicators are considered. Methods and approaches to temperature forecasting, their advantages and disadvantages are analyzed. The peculiarities of the application of machine learning methods for temperature forecasting are considered, and the criteria for choosing the most accurate and least energy-consuming methods are determined. The research results made it possible to identify machine learning methods that best adapt to temperature patterns and allow accurate short-term forecasting. An approach for long-term forecasting using recurrent neural networks is proposed. An information system has been developed for forecasting future temperatures depending on the climatic features of the studied territories based on the proposed methods. A concept for further research for the development and improvement of the developed information system has been formed.
  • Ескіз
    Документ
    Land surface temperature forecasting in the context of the development of sustainable cities and communities
    (Хмельницький національний університет, 2024) Hovorushchenko, T.; Alekseiko, V.
    The article examines the aspects of land surface temperature forecasting for effective planning and development of sustainable cities and communities. The relevance of the research lies in the need to develop effective approaches to the analysis and forecasting of climate data, for the timely determination of existing problems and ways to solve them, in accordance with civilizational challenges. The trends of changes in the land surface temperature from the middle of the 20th to the beginning of the 21st century were analyzed, using the example of five megacities located in different regions: Tokyo (Japan), Lagos (Nigeria), Berlin (Germany), Singapore (Singapore) and Belo Horizonte (Brazil). The results of the analysis of changes in average monthly and average annual temperatures are presented. The factors affecting the formation of the temperature regime of each of the cities are determined. The role of urbanization as a key factor in the development of the city is described, the main challenges caused by it are considered. An overview of megacities from the point of view of sustainable development was carried out. Prospects for urban development and measures aimed at reducing the urban heat island effect are considered. The role of modern technologies, in particular machine learning for predicting the land surface temperature, is described. The expediency of land surface temperature forecasting, in order to implement strategies for mitigating negative consequences and achieving the goals of sustainable development, is substantiated. The conducted research makes it possible to be convinced of the need for a responsible approach to the design and development of sustainable cities and communities. The temperature of the earth’s surface is one of the key indicators that allows you to monitor the main trends of urban life and can be an indicator of the effectiveness of strategies used to increase comfort and sustainable development
  • Ескіз
    Документ
    Land surface temperature forecasting in the context of the development of sustainable cities and communities
    (Хмельницький національний університет, 2024) Hovorushchenko, T.; Alekseiko, V.
    The article examines the aspects of land surface temperature forecasting for effective planning and development of sustainable cities and communities. The relevance of the research lies in the need to develop effective approaches to the analysis and forecasting of climate data, for the timely determination of existing problems and ways to solve them, in accordance with civilizational challenges. The trends of changes in the land surface temperature from the middle of the 20th to the beginning of the 21st century were analyzed, using the example of five megacities located in different regions: Tokyo (Japan), Lagos (Nigeria), Berlin (Germany), Singapore (Singapore) and Belo Horizonte (Brazil). The results of the analysis of changes in average monthly and average annual temperatures are presented. The factors affecting the formation of the temperature regime of each of the cities are determined. The role of urbanization as a key factor in the development of the city is described, the main challenges caused by it are considered. An overview of megacities from the point of view of sustainable development was carried out. Prospects for urban development and measures aimed at reducing the urban heat island effect are considered. The role of modern technologies, in particular machine learning for predicting the land surface temperature, is described. The expediency of land surface temperature forecasting, in order to implement strategies for mitigating negative consequences and achieving the goals of sustainable development, is substantiated. The conducted research makes it possible to be convinced of the need for a responsible approach to the design and development of sustainable cities and communities. The temperature of the earth’s surface is one of the key indicators that allows you to monitor the main trends of urban life and can be an indicator of the effectiveness of strategies used to increase comfort and sustainable development.
  • Ескіз
    Документ
    The concept of an information system for forecasting the temperature regime of the earth’s surface based on machine learning
    (Хмельницький національний університет, 2024) Pavlova, O.; Alekseiko, V.
    The paper presents the concept of an information system for forecasting the temperature regime of the Earth’s surface using machine learning. Forecasting is based on historical data for a specific area. In order to increase the accuracy of forecasting results, an analysis of the features of climate zones was carried out to identify patterns. A comparison of the dependence of the average earth’s surface monthly temperatures in countries depending on their location in climate zones was carried out. The analysis of sources and scientific publications confirmed the relevance of the chosen research topic. Historical aspects of forecasting changes in climatic indicators are considered. Modern methods and approaches to temperature forecasting, their advantages and disadvantages are analyzed. An overview of the subject area was conducted and the regularities of temperature changes according to climate features were determined. A comparison of temperature regimes for countries located in different climate zones was made. For clarity, graphs of temperature changes were plotted and average indicators were calculated for each climate zone. The results of the study confirm the need to adjust the temperature forecast for certain areas, taking into account their location in a specific climate zone. The revealed regularities in the temperature regime of the countries indicate the need for an individual approach to forecasting and the use of such machine learning methods that are best adapted to the dependencies observed in the climate zone. The architecture of the information system for forecasting future temperatures depending on the climatic features of the studied territories is proposed. A concept has been formed for further research to find more accurate and effective approaches to predicting climate parameters and achieving the goals of sustainable development.
  • Ескіз
    Документ
    Система моніторингу респіраторних захворювань в режимі реального часу з використанням інтернету медичних речей
    (Хмельницький національний університет, 2024) Говорущенко, Т.; Алексейко, В.; Рей, К.; Hovorushchenko, T.; Alekseiko, V.; Rei, K.
    Задача створення системи моніторингу респіраторних захворювань в режимі реального часу є актуальною. Відтак наше дослідження присвячене проектуванню системи моніторингу респіраторних захворювань в режимі реального часу з використанням Інтернету медичних речей, яке передбачає розробку мобільного застосунку або веб-сервісу, який буде взаємодіяти з різними IoMT пристроями, такими як фітнес-браслети, смарт-годинники, давачі пульсу тощо. Система моніторингу респіраторних захворювань в режимі реального часу з використанням IoMT призначена для контролю за показниками життєво важливих функцій (температура тіла, сатурація, частота дихання, пульс, артеріальний тиск тощо). Система моніторингу респіраторних захворювань в режимі реального часу з використанням Інтернету медичних речей дає змогу відслідковувати зміну показників задля контролю динаміки перебігу захворювання та своєчасного виявлення можливих ризиків та запобігання ускладнень. Система реалізується у вигляді мобільного застосунку, який взаємодіє з різними IoMT пристроями для збору даних про температуру тіла, сатурацію, частоту дихальних рухів, частоту серцевих скорочень, систолічний та діастолічний кров'яний тиск. Дані передаються на сервер, де проводиться аналіз, на основі якого здійснюється оцінка стану здоров’я пацієнта. Такий застосунок може бути корисним при лікуванні пацієнтів з респіраторними захворюваннями як в медичних закладах, так і вдома. Перегляд показників може здійснюватись лікарем у процесі реального часу. Також здійснюється формування звітів по кожному хворому та запис усіх показників. Користувач після авторизації має доступ до своїх показників в базі даних та може здійснювати їх перегляд, а також переглядати показники в режимі реального часу. За необхідності система формує звіт, який може бути завантажений користувачем на смартфон