Name
Abstract | ||
|---|---|---|
Based on recent experimental discoveries about a link between the length of exposure to formaldehyde and cancers of the lymphatic and hematopoietic systems, we present a low-cost and compact solution for monitoring formaldehyde in the environment by using electronic nose technology. This solution is centered on an array of gas sensors and a regression method. It has the potential to be deployment friendly, and can be used for long-term monitoring, which is not economically feasible with the currently available methods for formaldehyde quantification. As a case study, we integrate eight low-cost commercial gas sensors to acquire signatures of formaldehyde exposure within a target concentration range from 0.25 to 2.5 ppm. For the quantification, a support vector regression method is used on the experimental data, quantifying it with a mean square error of 0.00097 in the target concentration range. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/SysEng.2016.7753123 | 2016 IEEE International Symposium on Systems Engineering (ISSE) |
Keywords | DocType | ISBN |
formaldehyde quantification,electronic nose,array of gas sensors,support vector regression | Conference | 978-1-5090-0794-3 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Muhammad Hassan | 1 | 4 | 1.82 |
| Muhammad Umar | 2 | 0 | 0.68 |
| Amine Bermak | 3 | 493 | 90.25 |
| amine ait si ali | 4 | 8 | 3.88 |
| Abbes Amira | 5 | 19 | 2.80 |