2010
DOI: 10.1590/s0103-50532010000900005
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Multi-core computation in chemometrics: case studies of voltammetric and NIR spectrometric analyses

Abstract: A aplicação de técnicas quimiométricas sofisticadas a grandes conjuntos de dados tem se tornado possível devido aos contínuos aprimoramentos tecnológicos em computadores comerciais. Recentemente, tais aprimoramentos têm sido obtidos principalmente através da introdução de processadores com múltiplos núcleos. Contudo, o uso eficiente de hardware com múltiplos núcleos requer o desenvolvimento de software apropriado para computação paralela. Este artigo trata da implementação de paralelismo empregando o Matlab Pa… Show more

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Cited by 17 publications
(5 citation statements)
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“…The data set for multivariate calibration study is the same used by (Soares et al, 2010a), that consists of 755 visible near infrared spectra of whole-kernel wheat samples, which were initially used as shoot-out data in the 2008 International Diffuse Reflectance Conference (once http://www.idrcchambersburg.-org/shootout.html) and protein content is chosen as the property of interest. The following tests were performed to evaluate the proposed method GADC.…”
Section: Methodsmentioning
confidence: 99%
“…The data set for multivariate calibration study is the same used by (Soares et al, 2010a), that consists of 755 visible near infrared spectra of whole-kernel wheat samples, which were initially used as shoot-out data in the 2008 International Diffuse Reflectance Conference (once http://www.idrcchambersburg.-org/shootout.html) and protein content is chosen as the property of interest. The following tests were performed to evaluate the proposed method GADC.…”
Section: Methodsmentioning
confidence: 99%
“…The real dataset employed in this work consists of whole grain wheat samples, obtained from vegetal material from occidental Canadian producers. The standard data were determined at the Grain Research Laboratory as in work of [7] , [5] and [51] . The data set for the multivariate calibration study consists of 1090 Near-Infrared (NIR) spectra of whole-kernel wheat samples, which were used as shoot-out data in the 2008 International Diffuse Reflectance Conference ( http://www.idrc-chambersburg.org/shootout.html ).…”
Section: Methodsmentioning
confidence: 99%
“…The standard data were determined at the Grain Research Laboratory as in works of Paula et al (2014b) and Soares et al (2010;2013). The data set for the multivariate calibration study consists of 1090 NearInfrared (NIR) spectra of whole-kernel wheat samples, which were used as shoot-out data in the 2008 International Diffuse Reflectance Conference http://www.idrcchambersburg.org/shootout.html).…”
Section: Data Setmentioning
confidence: 99%