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- 저자 : Jing Futing (검색결과 2 건)
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Jing Liu,Yuanze Xu,Xiaoxiao Liang,Mingming Yan,Bo Wang,Tianchong Zhang,Zhen Hong,Futing Yi 대한금속·재료학회 2021 ELECTRONIC MATERIALS LETTERS Vol.17 No.6
Utilizing silica micropillar arrays as substrate, a kind of Zinc oxide (ZnO) nanowires/Cadmium sulfi de (CdS) nanopillars heterojunctionstructure is prepared successfully by twice hydrothermal reaction method. This ZnO nanowires/CdS nanorods/silicamicropillars structure is tree-liked morphology from the SEM and TEM images, and both the ZnO nanowires and CdS nanorodsare well crystallinity on the silica surface from the X-ray diff raction curves. The CdS nanorods/silica micropillars structure has alow refl ectivity to the incoming light for wavelength from 200 to 800 nm. After the ZnO nanowires growing, the refl ectivity oftree-liked structure is much lower than that without ZnO nanowires especially for the wavelength less than 350 nm. The resistanceresponse of the CdS nanorods/silica micropillars based photoresistors with and without ZnO nanowires are tested. And theresults reveal that the ZnO nanowires covering can improve the response of the CdS nanorods/silica micropillars photoresistors. The best photosensitivity response of the ZnO nanowires/CdS nanorods/silica micropillars photoresistor for 450 nm wavelengthlight with 5 mW/cm 2 illumination can achieve to 23.3, while that for CdS nanorods/silica micropillars photoresistors is 18.8.
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Liu Bin,Yang Hongrun,Lv Huanwen,Li Lan,Gao Xilong,Zhu Jianping,Jing Futing 한국원자력학회 2020 Nuclear Engineering and Technology Vol.52 No.7
A new method of X-ray source spectrum estimation based on compressed sensing is proposed in this paper. The algorithm K-SVD is applied for sparse representation. Nonnegative constraints are added by modifying the L1 reconstruction algorithm proposed by Rosset and Zhu. The estimation method is demonstrated on simulated spectra typical of mammography and CT. X-ray spectra are simulated with the Monte Carlo code Geant4. The proposed method is successfully applied to highly ill conditioned and under determined estimation problems with a good performance of suppressing noises. Results with acceptable accuracies (MSE < 5%) can be obtained with 10% Gaussian white noises added to the simulated experimental data. The biggest difference between the proposed method and the existing methods is that multiple prior knowledge of X-ray spectra can be included in one dictionary, which is meaningful for obtaining the true X-ray spectrum from the measurements.
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