Papers by Oluwatosin Samuel
Journal of Bio- and Tribo-Corrosion
FUOYE Journal of Engineering and Technology, 2022
Corrosion detection using advanced equipment could be sometimes unavailable in resource-limited s... more Corrosion detection using advanced equipment could be sometimes unavailable in resource-limited settings. To make up for the corrosion testing gap, image capturing and processing with Convolutional Neural Networks (CNN) have gained prominence in corrosion studies. In this study, two CNN models were built and trained using images taken with a mobile phone camera and a digital microscope. The CNN models were built to categorize corroded images into three different classes based on the surface area of the sample that were covered by the corrosion products. The study shows that CNN corrosion classifiers perform very well with accuracy above 80% for both models. The use of CNN was found to be effective for multiclass corrosion.Keywords— Corrosion, Convolutional neural network, Corrosion detection, Image processing.
The estimation of the potential load demand of local government areas in Ekiti State, Nigeria, wa... more The estimation of the potential load demand of local government areas in Ekiti State, Nigeria, was carried out using per capita demand estimate of a fully electrified urban area and population data. The pessimistic load demands of the local government areas were calculated through the use of per capita of a rural community in Ekiti state. This was achieved through the injected powers and the State's zonal population. The study demonstrated that there is wide difference between the projected load demands and the actual supply; thus impairing rural electrification of the State.
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Papers by Oluwatosin Samuel