Abstract
Volatile organic compounds (VOC) can be analyzed
and classified based on dispersion plots yielded by Differential
Mobility Spectrometry (DMS). These dispersion plots contain
traces, also known as alpha curves that indicate the presence of
VOCs with specific charge and cross-sectional area. However,
often the dispersion plots are analyzed without utilizing this
information but rather using the pixel values independently or
analyzing values at a specific high electric field level. This paper
proposes a technique for extracting and clustering alpha curves
from dispersion plots. The cluster information could then be
used inside existing detection and classification algorithms to
potentially improve their accuracy
and classified based on dispersion plots yielded by Differential
Mobility Spectrometry (DMS). These dispersion plots contain
traces, also known as alpha curves that indicate the presence of
VOCs with specific charge and cross-sectional area. However,
often the dispersion plots are analyzed without utilizing this
information but rather using the pixel values independently or
analyzing values at a specific high electric field level. This paper
proposes a technique for extracting and clustering alpha curves
from dispersion plots. The cluster information could then be
used inside existing detection and classification algorithms to
potentially improve their accuracy
Original language | English |
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Title of host publication | 2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) |
ISBN (Electronic) | 978-1-6654-5860-3 |
DOIs | |
Publication status | Published - 29 May 2022 |
Publication type | A4 Article in conference proceedings |
Event | IEEE International Symposium on Olfaction and Electronic Nose - Aveiro, Portugal Duration: 29 May 2022 → 1 Jun 2022 |
Conference
Conference | IEEE International Symposium on Olfaction and Electronic Nose |
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Country/Territory | Portugal |
City | Aveiro |
Period | 29/05/22 → 1/06/22 |
Publication forum classification
- Publication forum level 1