Browsing by Author "Saadoune, Achour"

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    An automatic system to surface defect classification of hot rolled steel
    (University of Eloued جامعة الوادي, 2018-12-10) Boudiaf, Adel; Moussaoui, Abdelkrim; Zaghdoudi, Rachid; Mentouri, Zoheir; Saadoune, Achour
    The primary objective of this paper is to develop an automatic surface defect inspection system for hot-rolled flat steel The proposed technique consists of four major steps. The proposed technique consists of four major steps. The first step is image acquisition. The second step is features extraction of image by Histogram of oriented gradients (HOG). In the third step the principal component analysis (PCA) is applied on the HOG descriptor to reduce the dimensionality of the feature vector. In the final step the K- nearest neighbor classifier (KNN) is used to classify the different steel surface defects. The experimental results showed that the proposed steel inspection system which is based on KNN classifier provide a better results and recognition accuracy of 91.12%.
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    An optimized perovskite solar cell designs for high conversion efficiency
    (Superlattices and Microstructures, 2019-05) Hima, Abdelkader; Lakhdar, Nacereddine; Benhaoua, Boubaker; Saadoune, Achour; Kemerchou, Imad; Rogti, Fatiha
    This paper reports the simulation and optimization of an organic/inorganic perovskite-based photovoltaic solar cell. Several structures for PSC are found in literature in order to enhance the conversion efficiency. The objectif of this work is to study and investigate different structures of solar cells based on perovskite materials to improve their performances. The simulated solar cell is made by sandwiching TiO2/Perovskite/spiro-OMeTAD layers where TiO2 is the electron transport layer (ETL), spiro-OMeTAD is the hole transport layer (HTL) and both CH3NH3PbI3 CH3NH3SnI3 are the perovskite (PVK) absorber layers. Therefore, the layer thicknesses of different materials are modified in order to find the better conversion efficiency of solar cells. The obtained results show that layer thicknesses that provide the maximum power conversion efficiency of 18.16% and 9.56% for both perovskite materials CH3NH3PbI3 and CH3NH3SnI3, respectively are 200 nm, 100 nm and 500 nm for spiro-OMeTAD, TiO2 and PVK materials, respectively. The numerical simulation was performed using the ATLAS device simulation software.