Faculty Of Engineering Research Paper

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Browsing Faculty Of Engineering Research Paper by Author "11517"

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    Design and simulation of proposed low cost solar cell structures based on heavily doped silicon wafers
    (Institute of Electrical and Electronics Engineers Inc., 2017) Salem M.S.; Zekry A.; Shaker A.; Abouelatta M.; Department of Electrical Comm. and Elec. Systems Eng.; Faculty of Eng.; Modern Science and Arts University; Cairo; Egypt; Department of Computer Engineering; Faculty of Computer Science; Hail University; Saudi Arabia; Department of Elec. and Comm. Eng.; Faculty of Eng.; Ain Shams University; Cairo; 11517; Egypt; Department of Eng. Physics and Mathematics; Faculty of Eng.; Ain Shams University; Cairo; 11517; Egypt
    This paper aims to present the design and simulation of two proposed low cost solar cell structures; namely, pn and npn. Both structures are based on commercially available low cost heavily doped silicon wafers. Their operation relies on the idea of vertical generation and lateral collection of the light generated carriers. A detailed qualitative analysis of both structures is given and verified using advanced TCAD tools. The comparison is analyzed firstly regarding the illuminated IV characteristics. The open circuit voltage (V oc ), short circuit current density (J sc ), fill factor (F.F) and conversion efficiency (? c ) are calculated. Additionally, the optical performance is calculated and compared for both structures. The quantum efficiency, the spectral response and the absorption curve are compared. The presented results show that npn structure gives better electrical and optical performance than the pn one. � 2017 IEEE.
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    Mechanomyogram signal detection and decomposition: Conceptualisation and research design
    (2012) Daoud H.G.; Ragai H.F.; Department of Electrical Communications and Electronics Systems; Faculty of Engineering; MSA University; Cairo; 41511; Egypt; Department of Electrical Communications and Electronics; Faculty of Engineering; Ain Shams University; Cairo; 11517; Egypt
    The primary purpose of the present study is to construct behavioural modelling of the detection and analysis of the Mechanomyogram (MMG) signal for different muscles using virtual muscle model. Mechanomyography is the superficial recording of low frequency vibrations detected over contracting muscles. In this study, a MEMS based accelerometer model is used. Three decomposition techniques which are Discrete Wavelet Transform, Principle Component Analysis and empirical mode decomposition are applied on the MMG for the purpose of feature extraction which could be used for the diagnosis process. A comparison between results of the different techniques as well as hybrid techniques is studied to reach the best one. Copyright � 2012 Inderscience Enterprises Ltd.