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- 저자 : Nauman Malik Muhammada (검색결과 2 건)
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Nauman Malik Muhammada,Navaneethan Duraisamy,Khalid Rahman,Hyun Woo Dang,Jeongdae Jo,Kyung Hyun Choi 한국물리학회 2013 Current Applied Physics Vol.13 No.1
An all printed resistive memory device, a 9-bit memristor, has been presented in this study consisting of 3 x 3 memristor crossbars deposited via electrohydrodynamic inkjet printing process at room conditions. Transparent zinc oxide active nano-layers, directly deposited by electrospray process, are sandwiched between the crossbars to complete the metaleinsulator metal structure consisting of copper ezinc oxideesilver, where Cu and Ag are used as bottom and top electrodes respectively. The 9-bit memristor device has been characterized using currentevoltage measurements to investigate the resistive switching phenomenon thereby confirming the memristive pinched hysteresis behavior signifying the readewrite and memory characteristics. The memristor device showed a current bistability due to the existence of metaleoxide layer which gives rise to oxygen vacancies upon receiving the positive voltage hence breaking down into doped and un-doped regions and a charge transfer takes place. The maximum ON/OFF ratio of the current bi-stability for the fabricated memristor was as large as 1 x 103, and the endurance of ON/OFF switchings was verified for 500 readewrite cycles. The metale insulatoremetal structure has been characterized using X-ray diffraction, X-ray photoelectron spectroscopy and scanning electron microscope techniques.
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Groundwater contaminant boundary input flux estimation in a two-dimensional aquifer
Nauman Malik Muhammada,Kyung-Youn Kim,Cheng-Hung Huang,Sin Kim 한국공업화학회 2010 Journal of Industrial and Engineering Chemistry Vol.16 No.1
The present study considers the estimation of groundwater input contaminant flux and its transient distribution in a hypothetical two-dimensional aquifer. The paper proposes Kalman filter with recursive least square algorithm (RLSA) technique for the inverse estimation problem. Numerical simulation results reveal that the proposed estimator has outstanding estimation performance both for smooth and abruptly varying input flux. The study further takes into account the dependence of the RLSA technique on the process noise. Selected input scenarios are examined to count for the effect of measurement sensor arrangement and RLSA shows more improved results when sensors number is increased and they are placed closer to the supposed input location.
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