In geology, classification and lithological recognition of rocks plays an important role in the area of oil and gas exploration, mineral exploration and geological analysis. In other fields of activity such as constru...
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In geology, classification and lithological recognition of rocks plays an important role in the area of oil and gas exploration, mineral exploration and geological analysis. In other fields of activity such as construction and decoration, this classification makes sense and fully plays its role. However, this classification is slow, approximate and subjective. Automatic classification curbs this subjectivity and fills this gap by offering methods that reflect human perception. We propose a new approach to rock classification based on direct-view images of rocks. The aim is to take advantage of feature extraction methods to estimate a rock dictionary. In this work, we have developed a classification method obtained by concatenating four (4) K-SVD variants into a single signature. This method is based on the K-SVD algorithm combined with four (4) feature extraction techniques: DCT, gabor filters, D-ALBPCSF and g-ALBPCSF, resulting in the four (4) variants named K-gabor, K-DCT, KD-ALBPCSF and KD-ALBPCSF respectively. In this work, we developed a classification method obtained by concatenating four (4) variants of K-SVD. The performance of our method was evaluated on the basis of performance indicators such as accuracy with other 96% success rate.
Background: Parasitic diseases are threat to the development of Ivorian Pig industry. Zoonotic diseases such as Echinococcosis have a significant impact on animal health and production. Little is known about Echinococ...
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g>Background: g>Parasitic diseases are threat to the development of Ivorian Pig industry. Zoonotic diseases such as Echinococcosis have a significant impact on animal health and production. Little is known about Echinococcosis in Cô te d’Ivoire. g>Aim:g> For these reasons, a cross section study was conducted at SIVAC in Yopougon, on pigs (Sus scrofa domesticus), in order to determine the prevalence and associated risk factors of Echinococcosis. g>Method:g> Paraclinical examinations of pig organs (kidneys, lungs, and liver) were conducted from 5th September to 30th December 2019 in order to report infection with this parasite. g>Results:g> Out of the 2425 slaughtered pigs, 63 of them were Echi-nococcosis positive, resulting in overall infection prevalence of 2.6% (95% CI: 1.9% - 3.22%). The kidneys (2.35%) were most infected, followed by lungs (0.21%), and liver (0.04%). g>Recommendations: g>A more in-depth study on the molecular epidemiology of Echinococcosis in the different regions of Cô te d’Ivoire is underway. Also, capacity building of community livestock actors (Veterinarians, health inspectors, breeders and butchers) and sensitization of the population on this disease is necessary in order to improve its diagnosis at the abattoir level and to set up strategies to combat it.
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