Computer Systems and Information Technologies=Комп'ютерні системи та інформаційні технології

Постійне посилання на фонд

https://elar.khmnu.edu.ua/handle/123456789/9492

Переглянути

Перегляд Computer Systems and Information Technologies=Комп'ютерні системи та інформаційні технології за Ключові слова "004.932+004.023"

Зараз показуємо 1 - 2 з 2
  • Ескіз
    Документ
    Information technology of facial emotion recognition for visual safety surveillance
    (Khmelnytskyi National University, 2022-04-14) Kalyta, Oleg
    Over the past decades, information safety systems for visual surveillance based on emotion recognition have become vital. In this work, we propose information technology that serves as a means of recognizing emotions for visual surveillance systems that meet safety requirements, particularly for low-resolution video surveillance cameras. The use of information technology means the consistent application of the method of geometric interpretation to extract facial features and the method of hyperplane classification to identify changes in emotional states. The input data of the proposed information technology is a set of videos with detected faces that reproduce primary emotional states on them. Based on the calculated quantitative characteristics of emotional states, emotional states by facial expressions were identified. The proposed information technology’s efficiency and practical significance are proved by its comparison with analogs according to statistical estimates. As such, the proposed approach achieved the classification accuracy of 91% and surpassed the analogs in the F1-norm, scoring 76%. Furthermore, utilizing straightforward mathematical operations in facial geometric feature representation and hyperplane classification within the information technology considerably reduced the computational cost over the analogs.
  • Ескіз
    Документ
    Web-based information technology for classifying and interpreting early pneumonia based on fine-tuned convolutional neural network
    (Khmelnytskyi National University, 2021-05-31) Radiuk, Pavlo; Barmak, Olexander; Радюк, Павло; Бармак, Олександр
    There have been rapid development and application of computer methods and information systems in digital medical diagnosis in recent years. However, although computer methods of medical imaging have proven helpful in diagnosing lung disease, for detecting early pneumonia on chest X-rays, the problem of cooperation between professional radiologists and specialists in computer science remains urgent. Thus, to address this issue, we propose information technology that medical professionals can employ to detect pneumonia on chest X-rays and interpret the results of the digital diagnosis. The technology is presented as a web-oriented system with an available and intuitive user interface. The information system contains three primary components: a module for disease prediction based on a classification model, a module responsible for hyperparameter tuning of the model, and a module for interpreting the diagnosis results. In combination, these three modules form a feasible tool to facilitate medical research in radiology. Moreover, a web-based system with a local server allows storing personal patient data on the user's computing device, as all calculations are performed locally.