Odor of Tropical Timber 2

The data is used for timber species classification and verification from their aromas. Timber samples were collected from wood
deposits, making data collection closer to practical situations. The measurements of the volatile compounds were made by using an array of 16 chemical sensors, whose curves are the inputs to a pattern recognition based system. Support vector machine is used for Classification; and, Gaussian mixture modeling with Universal Background Model is used for timber verification from the odor.

Sensors:

SENSOR(j) BRAND REF
1 HANWEI MQ-2
2 HANWEI MQ-3
3 HANWEI MQ-4
4 HANWEI MQ-6
5 HANWEI MQ-7
6 HANWEI MQ-8
7 HANWEI MQ-135
8 HANWEI MQ-9
9 FIGARO TGS-832
10 HANWEI MQ-6
11 FIGARO TGS-823
12 FIGARO TGS-816
13 FIGARO TGS-822
14 FIGARO TGS-813
15 FIGARO TGS-826
16 HANWEI MQ-3

These are de features:

* Ginicialj (G0) : initial conductance value, mean of the first 100 samples of the total response.
* Gfinalj (Gf) : final conductance value, mean of the last 50 samples of the phase 2 of the total response.
* Gmaxj (Gmax) : maximum conductance value.
* Gminj (Gmin) : minimum conductance value.
* Poloj (A) : pole location, corresponding to an adjusted first-order auto-regressive model [1]:
* Gananciaj(B) : gain coefficient of the same adjusted first-order auto-regressive model [1];

[1] Mantilla-Ramirez, Naren A.; Ortega-Boada, H.; Paja-Sarria, M. and Sepúlveda-Sepúlveda, A. (2020). A Low Cost Electronic Nose with a GMM-UBM Approach for Wood Species Verification.In Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-397-1, ISSN 2184-4313, pages 333-341. DOI: 10.5220/0008978003330341