Вимірювальна техніка та метрологія. – 2023. – Випуск 84, №3

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Measuring Equipment and Metrology : scientific journal. – Lviv : Lviv Politechnic Publishing House, 2023. – Volume 84, № 3. – 45 р.

Вимірювальна техніка та метрологія

Зміст

1. Титульний аркуш до “Вимірювальна техніка та метрологія”	1
2. Prodan R., Shutka D., Tataryn V. Measurement and analysis of agricultural field state using cloud-based data processing pipeline Preventing potential robbery crimes using deep learning algorithm of data processing	5
3. Chaban V. Theoretical substantiation of the results of measuring anomalies of spacecraft trajectories	11
4. Shutka D., Prodan R., Tataryn V. Preventing potential robbery crimes using deep learning algorithm of data processing	16
5. Rudavskyi I., Klym H., Popov A. Design and evaluation of a smart indoor air quality monitoring system	23
6. Nikolskiy S., Klymenko I. Embedded IoT platform for remote traffic control in smart city IoT infrastructure	31
7. Yatsyshyn S., Zeng X. Design of the water strider-like robot	39
8. Skoropad P., Lihnovskyi I., Hamula P., Mastylo R. Criteria of materials metal glasses selection for thermometry	43
9. Gaman V., Kursin S., Velychko O. Generalized risk assessment procedure for software testing of legally regulated measuring instruments	47
10. Chaplia O., Klym H. Node.js project architecture with shared dependencies for microservices	53
11. Bubela T., Bohush B. Preconditions for the creation of a meat freshness control and identification system	59
12. Зміст до “Вимірювальна техніка та метрологія”	66

Content (Vol. 84, No 3)

1. Tytulnyi arkush do "Vymiriuvalna tekhnika ta metrolohiia"	1
2. Prodan R., Shutka D., Tataryn V. Measurement and analysis of agricultural field state using cloud-based data processing pipeline Preventing potential robbery crimes using deep learning algorithm of data processing	5
3. Chaban V. Theoretical substantiation of the results of measuring anomalies of spacecraft trajectories	11
4. Shutka D., Prodan R., Tataryn V. Preventing potential robbery crimes using deep learning algorithm of data processing	16
5. Rudavskyi I., Klym H., Popov A. Design and evaluation of a smart indoor air quality monitoring system	23
6. Nikolskiy S., Klymenko I. Embedded IoT platform for remote traffic control in smart city IoT infrastructure	31
7. Yatsyshyn S., Zeng X. Design of the water strider-like robot	39
8. Skoropad P., Lihnovskyi I., Hamula P., Mastylo R. Criteria of materials metal glasses selection for thermometry	43
9. Gaman V., Kursin S., Velychko O. Generalized risk assessment procedure for software testing of legally regulated measuring instruments	47
10. Chaplia O., Klym H. Node.js project architecture with shared dependencies for microservices	53
11. Bubela T., Bohush B. Preconditions for the creation of a meat freshness control and identification system	59
12. Zmist do "Vymiriuvalna tekhnika ta metrolohiia"	66

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Design and evaluation of a smart indoor air quality monitoring system
(Видавництво Львівської політехніки, 2023-02-28) Rudavskyi, Ivan; Klym, Halyna; Popov, Anatoliy; Lviv Polytechnic National University; University of Latvia
This paper presents the design and development of an intelligent air quality monitoring system that utilizes the widely adopted and versatile Arduino Uno microcontroller as its foundational platform. The system underwent comprehensive testing procedures to ensure its adherence to specified requirements. Moreover, a series of experiments were conducted in diverse areas of a residential environment to generate datasets for various air quality indicators. The research findings showcase the potential of the developed system in accurately monitoring and assessing indoor air quality in real time. Enhancing indoor air quality plays a crucial role in mitigating the transmission of common airborne viruses and pollutants, thus significantly benefiting respiratory health.