Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/20.500.12421/4500
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dc.contributor.authorMantilla Ramirez, Naren-
dc.contributor.authorOrtega Boada, Homero-
dc.contributor.authorPaja Sarria, Milton-
dc.contributor.authorSepúlveda Sepúlveda, Alexander-
dc.date.accessioned2020-10-23T15:36:06Z-
dc.date.available2020-10-23T15:36:06Z-
dc.date.issued2020-02-22-
dc.identifier.isbn978-989758397-1-
dc.identifier.urihttp://repository.usc.edu.co/handle/20.500.12421/4500-
dc.description.abstractDeforestation endangers some vulnerable wood species. Although there are effective timber species identification methods, they are typically expensive and time-consuming, they must be carried out by experts and they are not applicable to places far from main cities. In contrast, we propose to use electronic noses to identify timber species, e.g. during their transportation process, from the volatile compounds that timbers emanate. In the present work, it is proposed a method for timber species detection from their aromas. The measurements of the volatile compounds are made by an array of 16 chemical sensors, whose curves are the inputs to a pattern recognition system. Detection is performed by using Gaussian mixture modeling with Universal Background Model. In contrast to previous works, in this work, we apply a new approach to the problem of timer species detection; furthermore, the sample collection conditions are closer to those found in real situations; and, the number of samplesen_US
dc.language.isoenen_US
dc.publisherSciTePressen_US
dc.subjectChemical Sensor Arraysen_US
dc.subjectGaussian Mixture Modelsen_US
dc.subjectGMM-UBMen_US
dc.subjectTimber Identificationen_US
dc.subjectUniversal Background Modelen_US
dc.subjectWood Identificationen_US
dc.titleA low cost electronic nose with a GMM-UBM approach for wood species verificationen_US
dc.typeArticleen_US
Appears in Collections:Artículos Científicos

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