Temporal Behavior Analysis for the Impact of Combined Temperature and Humidity Variations on a Photoacoustic CO₂ Sensor
- This study explores the temporal response of an indirect photoacoustic CO 2 sensor, focusing on combined temperature and humidity variations. The intricate relationship between temporal resolution, environmental conditions, and sensor repeatability is investigated. Through Studies 1 to 4, the impact of feature differences and explicit values on repeatability under varying temporal resolutions isThis study explores the temporal response of an indirect photoacoustic CO 2 sensor, focusing on combined temperature and humidity variations. The intricate relationship between temporal resolution, environmental conditions, and sensor repeatability is investigated. Through Studies 1 to 4, the impact of feature differences and explicit values on repeatability under varying temporal resolutions is assessed. A temporal resolution of 700 seconds is seen at the threshold R2 score of 0.80 when using changes in temperature and humidity as features, compared to 300 seconds when using explicit values of temperature and humidity as features. Furthermore, using time difference as an extra feature allows for prediction with varying temporal resolution, resulting in R2 score of up to 0.9933. The findings enhance the understanding of the sensor’s behavior in dynamic settings, contributing to its practical applicability and performance optimization.…


| Document Type: | Conference Proceeding |
|---|---|
| Conference Type: | Konferenzartikel |
| Zitierlink: | https://opus.hs-offenburg.de/9589 | Bibliografische Angaben |
| Title (English): | Temporal Behavior Analysis for the Impact of Combined Temperature and Humidity Variations on a Photoacoustic CO₂ Sensor |
| Conference: | IEEE Applied Sensing Conference (22-24 January 2024 : Goa, India) |
| Author: | Ananya Srivastava, Pranav Sharma, Axel SikoraStaff MemberORCiDGND, Achim Bittner, Alfons Dehé |
| Year of Publication: | 2024 |
| Publisher: | IEEE |
| First Page: | 1 |
| Last Page: | 4 |
| Parent Title (English): | IEEE APSCON 2024 : Conference Proceedings |
| ISBN: | 979-8-3503-1727-5 (Elektronisch) |
| ISBN: | 979-8-3503-1728-2 (Print on Demand) |
| DOI: | https://doi.org/10.1109/APSCON60364.2024.10465885 |
| Language: | English | Inhaltliche Informationen |
| Institutes: | Fakultät Elektrotechnik, Medizintechnik und Informatik (EMI) (ab 04/2019) |
| Research: | ivESK - Institut für verlässliche Embedded Systems und Kommunikationselektronik |
| Collections of the Offenburg University: | Bibliografie |
| Tag: | Gas Concentration; Machine Learning; Photoacoustic CO2 Sensor; Regression; Sensor Response; Temporal Resolution | Formale Angaben |
| Relevance for "Jahresbericht über Forschungsleistungen": | 1-fach | Konferenzbeitrag |
| Open Access: | Closed |
| Licence (German): | Urheberrechtlich geschützt |



