Magnesium-doped Zinc oxide (ZnO: Mg) nanorods (NRs) films and pure Zinc oxide deposited on the p-silicon substrates were prepared by hydrothermal method. The doping level of the Mg concentration (atoms ratio of Mg to Zn was chosen to be 0.75% and 1.5%. X-ray diffraction (XRD) and energy-dispersive X-ray spectroscopy (EDX) were performed to characterize the prepared films. X-ray diffraction analysis showed a decrease in the lattice parameters of the Mg-doped ZnO NRs. Under 10V applied bias voltage, the responsivity of p-n junction UV photodiode based on pure ZnO and Mg: ZnO with doping ratio (0.75% and 1.5%) was 0.06 A/W and (0.15A/W and 0.27A/W) at UV illumination of wavelength 365 nm respectively, 0.071 A/W and (0.084A/W and 0.11A/W) for UV wavelength of 385 nm with power density 40μW/cm2, respectively. The Mg-doped ZnO NRs photodiode exhibited high photosensitivity, fast response and fall times, and good orientation properties.
Fabrication and Enhancement UV Photodiode Based on Mg-Doped ZnO Nanorods Films
pure ZnO nanorods
Mg doping ZnO
photodiode
hydrothermal method
Publication Date
Tue Oct 23 2018
Journal Name
Journal Of Economics And Administrative Sciences
Comparison Bayes Estimators of Reliability in the Exponential Distribution
The Exponential
Bayes method
the prior distributions: Inverse Chi-square distribution
Inverted Gamma distribution
improper distribution
non-informative distribution
mean squared errors (MSE)
mean weighted squared errors (MWSE).
التوزيع الاسي
طريقة بيز
التوزيعات الأولية : توزيع معكوس مربع كاي
توزيع معكوس كاما
توزيع غير الملائم (Improper)
توزيع Non-informative. دالة الخسارة التربيعية والتربيعية الموزونة
متوسط مربع الاخطاء (MSE)
متوسط مربع الاخطاء الموزنه (MWSE).
Abstract
We produced a study in Estimation for Reliability of the Exponential distribution based on the Bayesian approach. These estimates are derived using Bayesian approaches. In the Bayesian approach, the parameter of the Exponential distribution is assumed to be random variable .we derived bayes estimators of reliability under four types when the prior distribution for the scale parameter of the Exponential distribution is: Inverse Chi-squar
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