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- 저자 : Yilong Zhou (검색결과 3 건)
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Finger Vein Image Quality Evaluation based on Support Vector Regression
Lizhen Zhou,Gongping Yang,Lu Yang,Yilong Yin,Ying Li 보안공학연구지원센터 2015 International Journal of Signal Processing, Image Vol.8 No.8
It has been found that poor quality images decrease the performance of finger vein recognition system, due to missing, vague or spurious features. Therefore, it is important for a finger vein recognition system to evaluate the quality of finger vein images. In this paper, a new method based on Support Vector Regression (SVR) is proposed for finger vein image quality evaluation. In our method, we first manually annotate quality scores for finger vein images in training set and extract five quality features of these images. Then quality scores and quality features are used to build a SVR model, which will be applied to evaluate quality for testing images. In addition, we explore the use of quality score and ascertain that quality score can be used as ancillary information to enhance recognition accuracy for finger vein. Experimental results show that our proposed method is effective for finger vein image quality evaluation.
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Zihao Jiang,Yayun Li,Hang Luo,Baogang Zhou,Yilong Liang,Yu Liang 대한금속·재료학회 2022 METALS AND MATERIALS International Vol.28 No.12
The present work investigated the effect of the boundary orientation of melt pool on the mechanical properties and fracturepath in selective-laser-melted AlSi10Mg alloy. The acquired data are beneficial for understanding the influence of themicrostructure on mechanical properties. During the alloy’s selective laser melting (SLM), the melt pool boundary wasalmost parallel with the scanning direction, and the grains grew along the building direction. When the load-bearing facewas perpendicular to the melt pool boundary, the crack propagation path deflected towards coarse melt pool of the melt poolboundary, reducing the probability of directly crossing the fine melt pool. Otherwise, the cracks would mainly propagatealong the melt pool boundary. In the tensile deformation process, coarse melt pool (CMP) was subjected to higher localstrain than fine melt pool (FMP) and heat-affected zone (HAZ), and the crack propagated or deflected along the CMP inthe melt pool boundary. Therefore, the anisotropy of mechanical properties in SLM AlSi10Mg was mainly ascribed to theCMP density on the load-bearing face. As a weak area, the high proportion of CMP significantly reduced the strength andplasticity of the alloy.
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The applications of flower-shaped ZnO-UHMWPE fibers in photocatalysis and composites
Huixin Liu,Weiwei Li,Zhong Wu,Yilong Zhou,Kaiyuan Pei,Wenhu Song,Shiting Li,Jinfeng Zhang 한국공업화학회 2023 Journal of Industrial and Engineering Chemistry Vol.125 No.-
Ultra-high molecular weight polyethylene (UHMWPE) fiber is considered as one of the high-performancefibers. However, the inert surface of UHMWPE fiber limits its application in many fields. In order to optimizethe application of UHMWPE fibers in functional and composite fields, this work introduced a specialsurface structure of the UHMWPE fibers. The designed surface was formed by the flower-shaped ZnO (FZnO)crystals, which endowed the UHMWPE fibers with photocatalytic property. Moreover, F-ZnO on theUHMWPE fiber surface enhanced the roughness of the fiber, which improves the interfacial bondingstrength of fiber-reinforced composites. The experimental results showed that the surface wettabilityof the F-ZnO-UHMWPE fibers was improved significantly. Moreover, F-ZnO-UHMWPE fibers were usedas immobilized photocatalyst, and the degradation rate of rodamine B reached 53.3 %. F-ZnOUHMWPEfiber also could be used in fiber-reinforced composites fields. Compared with the pure rigidpolyurethane (RPU) and UHMWPE fibers/RPU composites, the tensile strengths of F-ZnO-UHMWPEfibers/RPU composites were improved by 130.3 % and 44.2 % respectively.
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