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Назва: | Methods and Means of Automatic Statistical Assessment of Information Measuring Systems |
Автори: | Dubynyak, Taras Dmytrotsa, Lesia Yavorska, Myroslava Shostakivska, Nadia Manziy, Oleksandra |
Приналежність: | Ternopil Ivan Puluj National Technical University Lviv Polytechnic National University |
Бібліографічний опис: | Dubynyak, T., Dmytrotsa, L., Yavorska, M., Shostakivska, N., Manziy, O. Methods and Means of Automatic Statistical Assessment of Information Measuring Systems. 2023. CEUR Workshop Proceedings, 3628, pp. 450-461 |
Конференція/захід: | Proceedings of the 3rd International Workshop on Information Technologies: Theoretical and Applied Problems 2023 |
Дата публікації: | лис-2023 |
Дата внесення: | 26-бер-2024 |
Видавництво: | CEUR (CEUR-WS.org) |
Місце видання, проведення: | Ternopil, Ukraine, Opole, Poland |
Теми: | мathematical support information measuring syste metrological analysis measurement uncertainty error imprecise value inadequate knowledge subjective error |
Короткий огляд (реферат): | The method of assessing the accuracy of information and measurement systems is considered, using the example of the system of the oil refining industry. In particular, indicators of temperature, pressure and product level sensors in the tank to optimize the process of transmitting information over significant distances. And formation based on measurement of certain conclusions and implementation of controlling influences on the object. A metrological analysis of the created information and measurement complex was carried out based on this concept of uncertainty. The obtained results were compared with the result of calculating the total error of the channel using the entropy coefficient |
URI (Уніфікований ідентифікатор ресурсу): | http://elartu.tntu.edu.ua/handle/lib/44658 |
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Тип вмісту: | Article |
Розташовується у зібраннях: | Наукові публікації кафедри українознавства і філософії |
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