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STUDY OF MULTILAYER STRUCTURE USING X-RAY DOUBLE CRYSTAL DIFFRACTION
Wu, Yunzhong,Xu, Xueming,Wang, Weiyuan The Korean Vacuum Society 1995 Applied Science and Convergence Technology Vol.4 No.s2
By using X-ray double crystal diffraction technique the multilayer structure composed of glass membrane, platinum film and $\alpha Al_2O_3$ substrate has been studied. It is found the stress is produced in the film by thermal mismatch within multilayer materials. The measuring results of thin film platinum resistors show that the stress were induce resistance change of device and different stress status will produce add resistance in different direction. Selecting proper glass material can make opposite stress in Pt film and opposite add resistance due to thermal mismatch. The reliability of Pt resistor has been improved with method of this stress compensation.
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Single Low-Light Ghost-Free Image Enhancement via Deep Retinex Model
( Yan Liu ),( Bingxue Lv ),( Jingwen Wang ),( Wei Huang ),( Tiantian Qiu ),( Yunzhong Chen ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.5
Low-light image enhancement is a key technique to overcome the quality degradation of photos taken under scotopic vision illumination conditions. The degradation includes low brightness, low contrast, and outstanding noise, which would seriously affect the vision of the human eye recognition ability and subsequent image processing. In this paper, we propose an approach based on deep learning and Retinex theory to enhance the low-light image, which includes image decomposition, illumination prediction, image reconstruction, and image optimization. The first three parts can reconstruct the enhanced image that suffers from low-resolution. To reduce the noise of the enhanced image and improve the image quality, a super-resolution algorithm based on the Laplacian pyramid network is introduced to optimize the image. The Laplacian pyramid network can improve the resolution of the enhanced image through multiple feature extraction and deconvolution operations. Furthermore, a combination loss function is explored in the network training stage to improve the efficiency of the algorithm. Extensive experiments and comprehensive evaluations demonstrate the strength of the proposed method, the result is closer to the real-world scene in lightness, color, and details. Besides, experiments also demonstrate that the proposed method with the single low-light image can achieve the same effect as multi-exposure image fusion algorithm and no ghost is introduced.
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The synthesis of humic acids graft copolymer and its adsorption for organic pesticides
Chengjian Yang,Qingru Zeng,Yang Yang,Ruiyang Xiao,Yunzhong Wang,Hui Shi 한국공업화학회 2014 Journal of Industrial and Engineering Chemistry Vol.20 No.3
humic acid graft copolymer (PSt-g-HA) was prepared by graft copolymerization of Humic acid (HA) withstyrene and the sorption of three selected organic pesticides, parathion-methyl, carbaryl and carbofuranby PSt-g-HA acid and untreated humic were also examined, respectively. The PSt-g-HA had relativelyhigh aromatic carbons content because the grafted copolymerization of polystyrene entered intocondensed domains in HA, whereas the removal of the polar function groups, such as carboxyl andphenolic hydroxyl group, was performed. For above reasons, the sorption capacity of three organicpesticides (parathion-methyl, carbaryl and carbofuran) on PSt-g-HA increased by 64.1% to 95.2%.
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