Browsing by Author "Merad Boudia, M. R."

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    Analysis Of A Data Base Of Chalcopyrite Semiconductors In 2 And 3 Dimensions
    (University of Eloued جامعة الوادي, 2011-07-01) Ferouani, A. M.; Merad Boudia, M. R.; Hachemi, H.
    The analysis of the data is currently, in the statisticians, the object of a true phenomenon of mode, characterized at the same time by the passion and the rejection. To determine the characteristics of a whole of data is obviously not an end in itself, but this lapse of memory is unfortunate because the type of data available always influences the direction of research. The factorial analysis in normalized principal components (PCA), is particularly adapted to the reduction of tables of measurements, where one generally works on a matrix of correlation between characters. In this article we will report our results of analysis into 2 and 3 dimensions of the molecular weight and energy of plasmon of semiconductor chalcopyrites by using what one call the datamining materials. All information was presented in the tables envisaged by an ACP method of the semiconductors étudiés. L' analyzes factorial substitutes for primitive measurements of new variables or factors (which are linear combinations of the primitive variables) with the help of which it is thus possible to optimize the visualization of the data in a restricted number of figures. Large at the modo we present, the results related to the development of new approaches of Datamining, Analysis in principal components (ACP), of the data-processing techniques which were applied to semiconductors and combined with metals to predict new materials or ultra stable coatings.
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    Numerical Simulation And Optimization Of Performances Of A Solar Cell Based On Cdte
    (University of Eloued جامعة الوادي, 2011-01-01) Ferouani, A. M.; Merad Boudia, M. R.; Rahmoun, K.
    This article has as an aim the study and the simulation of the photovoltaic cells containing CdTe materials, contributing to the development of renewable energies, and able to feed from the houses, the shelters as well as photovoltaic stations… etc. CdTe is a semiconductor having a structure of bands with an indirect gap of a value of 1,5 eV at ambient temperature what means that photon wavelength of approximately 1200 nm will be able to generate an electron-hole pair. One speaks about photogeneration. We will lay the stress, initially, on the essential design features of a photovoltaic module (the open-circuit tension, the short-circuit current, the fill factor, and the output of the cell), our results was simulated with the SCAPS computer code in one dimension which uses electrical characteristics DC and AC of the thin layers heterojunctions. The results obtained after optimization are: VCO = 0.632V, Jsc = 39.1 mA/cm2, FF=82.98 % and the output energy of conversion is 18.26%.Optimization is made according to the temperature and the wavelength.
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    Study Ofperformances Of Organic Solar Cellsbyanalysis Of Main Components
    (University of Eloued جامعة الوادي, 2011-01-01) Merad Boudia, M. R.; Ferouani, A. M.; Cheknane, A.; Benyoucef, B.
    The analysis of the data is currently, in the statisticians, the object of a true phenomenon of mode, characterized at the same time by the passion and the rejection.To determine the characteristics of a whole of data are obviously not an end in itself, but this lapse of memory is unfortunate because the type of data available always influences the direction of research.The factorial analysis in normalized principal components (PCA), is particularly adapted to the reduction of tables of measurements, where one generally works on a matrix of correlation between characters.In this article we will report our results of analysis of performances of organic solar cellsby using what one call the datamining materials.All information was presented in the tables envisaged by an ACP method of the studied semiconductors.Factorial analyzes substitutes for primitive measurements of new variables or factors (which are linear combinations of the primitive variables) with the help of which it is thus possible to optimize the visualization of the data in a restricted number of figures. Large at the modo we present, the results related to the development of new approaches of Datamining, Analysis in principal components (ACP), of the data-processing techniques which were applied to organic semiconductors and combined with metals to predict new materials or best performing coatings.