A pyroelectric temperature sensor for measuring human body temperature with increased accuracy and speed for application in mobile robotic systems has been developed. This pyroelectric temperature sensor for measuring human body temperature is intended for use in various educational institutions. Its usage will allow for identifying sick or potentially ill people and providing them with preliminary advice and avoid infecting other people. This is particularly important considering the seasonality of dangerous infectious diseases and the emergence of new ones (e.g., COVID-19). It is also advisable to use this pyroelectric sensor in hospitals, where temperature measurement is very crucial for monitoring the course of various diseases. The proposed pyroelectric temperature sensor is based on a nonlinear oscillatory system, which provides high sensitivity and allows for solving the problem of increasing the accuracy of measuring the human body temperature in a non-contact way. Measurement error is ±0.1% in the operating range (32–43) °C, measurement time—1 s, and the frequency instability is 3·10⁻⁴.

У статті розглянуто вендингові системи та вендингові пристрої, їх складові та залежності між функціональним призначенням і апаратним забезпеченням. Наведено функціональні різновиди терміналів самообслуговування, виокремлено їх основні класифікативні відмінності. Проведено їх порівняльний аналіз, розглянута технічна сторона, принципи роботи та приведені приклади роботи розглянутих алгоритмів. Розглянуто основні аспекти функціонування вендингових систем як сукупність теорії автоматів і теорії масового обслуговування. Наведено список типових прикладних апаратно-програмних реалізацій вендингових технологій. Проведено аналіз ключових алгоритмів роботи терміналів і автоматів самообслуговування. Визначено провідні напрямки розвитку і сфери досліджень, направлених на вдосконалення сучасного стану вендингових систем.

"Ensuring the confidentiality of biomedical images is an important task in modern medical information systems, especially in the context of telemedicine development. X-ray images are widely used for diagnostics and are transmitted over communication n networks, which increases the risk of unauthorized access and data leakage. Traditional cryptographic methods provide a high level of data protection but do not conceal the fact of data transmission, which limits their effectiveness in certain applications. This paper investigates a steganographic approach to biomedical image protection based on embedding one X-ray image into another X-ray image. The purpose of the study is to ensure high quality of the container image and to minimize visual distortions during embedding. Methods in both spatial and frequency domains are used, in particular embedding based on Walsh– Hadamard transform coefficients. Experimental results show that avoiding coefficient normalization during the forward transform and applying normalization only at the inverse stage reduces distortions and preserves high visual quality even at full container capacity. It is established that embedding in transform coefficients provides higher container capacity compared to spatial-domain methods. The obtained results confirm the effectiveness of using X-ray images as containers for hiding images of the same type, ensuring high imperceptibility and steganographic robustness."