<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Hachmi, M'Hamed</style></author><author><style face="normal" font="default" size="100%">Sesbou, Abdessadek</style></author><author><style face="normal" font="default" size="100%">Benjelloun, Hassan</style></author><author><style face="normal" font="default" size="100%">El Handouz, Nesrine</style></author><author><style face="normal" font="default" size="100%">Bouanane, Fadoua</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A Simple Technique to Estimate the Flammability Index of Moroccan Forest Fuels</style></title><secondary-title><style face="normal" font="default" size="100%">Journal of Combustion</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">flammability</style></keyword><keyword><style  face="normal" font="default" size="100%">forest species</style></keyword><keyword><style  face="normal" font="default" size="100%">Moisture content</style></keyword><keyword><style  face="normal" font="default" size="100%">Morocco (voyant)</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2011</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2011///</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.hindawi.com/journals/jc/2011/263531/</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">2011</style></volume><pages><style face="normal" font="default" size="100%">1 - 11</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">A formula to estimate forest fuel flammability index (FI) is proposed, integrating three species flammability parameters: time to ignition, time of combustion, and flame height. Thirty-one (31)Moroccan tree and shrub species were tested within a wide range of fuel moisture contents. Six species flammability classes were identified. An ANOVA of the FI-values was performed and analyzed using four different sample sizes of 12, 24, 36, and 50 flammability tests. Fuel humidity content is inversely correlated to the FI-value, and the linear model appears to be the most adequate equation that may predict the hypothetical threshold-point of humidity of extinction. Most of the Moroccan forest fuels studied are classified as moderately flammable to flammable species based on their average humidity content, calculated for the summer period from July to September.</style></abstract><issue><style face="normal" font="default" size="100%">Table 1</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Benkirane, Hatim</style></author><author><style face="normal" font="default" size="100%">Benslimane, Rachid</style></author><author><style face="normal" font="default" size="100%">Hachmi, M'Hamed</style></author><author><style face="normal" font="default" size="100%">Sesbou, Ahmed</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Possibilité de contrôle automatique de la qualité du liège par vision artificielle</style></title><secondary-title><style face="normal" font="default" size="100%">Ann. For. Sci.</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Classification</style></keyword><keyword><style  face="normal" font="default" size="100%">cork quality control</style></keyword><keyword><style  face="normal" font="default" size="100%">defect quantification</style></keyword><keyword><style  face="normal" font="default" size="100%">digital image</style></keyword><keyword><style  face="normal" font="default" size="100%">visual system</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2001</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2001///</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://dx.doi.org/10.1051/forest:2001139</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">58</style></volume><pages><style face="normal" font="default" size="100%">455 - 465</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The quality control often requires some visual inspection systems for defects detection in industrial production. In such application, those systems offer more reliability and lower processing time than a human operator. So this paper aims to introduce an automatic procedure to quality control of cork bits used for quality estimation of cork stacks, which is based on digital image analysis techniques. This procedure tries to quantify defects density of cork bit and to classify them in different quality classes. Experimental results are presented in order to evaluate the performance of the proposed automatic procedure.</style></abstract><issue><style face="normal" font="default" size="100%">4</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">Possibilité de contrôle automatique de la qualité du liège par vision artificielle</style></title><secondary-title><style face="normal" font="default" size="100%">Ann. For. Sci.</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2001</style></year></dates><volume><style face="normal" font="default" size="100%">58</style></volume><pages><style face="normal" font="default" size="100%">455-465</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The quality control often requires some visual inspection systems for defects detection in industrial production. In such application, those systems offer more reliability and lower processing time than a human operator. So this paper aims to introduce an automatic procedure to quality control of cork bits used for quality estimation of cork stacks, which is based on digital image analysis techniques. This procedure tries to quantify defects density of cork bit and to classify them in different quality classes. Experimental results are presented in order to evaluate the performance of the proposed automatic procedure.</style></abstract></record></records></xml>