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RISS 인기검색어
- 검색키워드
- 저자 : Yinxiang Xu (검색결과 2 건)
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- 유료
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Improved Residual Network for Single Image Super Resolution
Yinxiang Xu,Seungwoo Wee,Jechang Jeong 한국방송·미디어공학회 2019 한국방송공학회 학술발표대회 논문집 Vol.2019 No.6
In the classical single-image super-resolution (SISR) reconstruction method using convolutional neural networks, the extracted features are not fully utilized, and the training time is too long. Aiming at the above problems, we proposed an improved SISR method based on a residual network. Our proposed method uses a feature fusion technology based on improved residual blocks. The advantage of this method is the ability to fully and effectively utilize the features extracted from the shallow layers. In addition, we can see that the feature fusion can adaptively preserve the information from current and previous residual blocks and stabilize the training for deeper network. And we use the global residual learning to make network training easier. The experimental results show that the proposed method gets better performance than classic reconstruction methods.
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Bio-inspired Fabrication of Cu-Ni Coatings onto Mercerized Flax Fabric by Electroless Plating
Lin Zhu,Hang Zhao,Bijian Lan,Lei Hou,Siyi Bi,Yumeng Xu,Yinxiang Lu 한국섬유공학회 2020 Fibers and polymers Vol.21 No.2
This research mainly prepared a bio-friendly electromagnetic interference (EMI) shielding fabric, and discussed the influence of the grammage (i.e. 120 g/m2, 160 g/m2 and 210 g/m2, etc) of fabric substrate on the preparation of metalbased EMI shielding conductive fabric by electroless plating. A series of steps involved mercerization, dopamine (DoPA) modification, Ni0 seeding and electroless copper-nickel (Cu-Ni) plating were carried out to fabricate ideal EMI shielding fabric. The prepared Cu-Ni fabric endowed relatively high EMI shielding effectiveness (SE) (34.80-42.00 dB) ranging from 30 to 4500 MHz, which made it a huge potential in the field of wearable EMI shielding. Moreover, another discovery was that a relative higher grammage may lead to a lower total metal loading. Furthermore, Fourier transformation infrared (FTIR) spectroscopy and X-ray photoelectron spectroscopy (XPS) measurements were conducted to verify the introduction of functional groups in mercerization, modification and activation procedures. The crystalline phases and morphologies of resulting Cu-Ni coatings were characterized by X-ray diffraction (XRD) and field emission-scanning electron microscopy (FE-SEM) measurements. The atomic ratio (at.%) of Cu and Ni in the sample was determined by Energy Dispersive X-ray Spectroscopy (EDX) measurements. Overall, the Cu-Ni alloy fabric prepared in this research met the requirements of health, coating lining and EMI shielding.
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