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- 저자 : ( Ruo-qiu Wang ) (검색결과 2 건)
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Fabrication of Hierarchical N-doped Carbon Nanotubes for CO2 Adsorption
Hongning Wang,Chao Xu,Yongsheng Zhou,Wenpu Zhao,Jing Zhong,Wei-Qiu Huang,Ruo-Yu Chen 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2019 NANO Vol.14 No.6
Hierarchical N-doped carbon nanotubes (NCTs) with controllable aspect ratios were developed for CO2 adsorption. In this work, NCTs were synthesized by coating different amounts of 3-aminophenol/formaldehyde resin (APF) on the outer layer of silica nanotubes, carbonizing in N2 at 700 ℃ and removing the silica and Ni template by hydrofluoric acid etching. The obtained NCTs were activated by K2CO3. After activation, micropores on the activated N-doped carbon nanotubes (ANCTs) were enriched, the micro-surface area and pore volume of ANCT-1.0 reached 1195 m2 g-1 and 0.45 cm3 g-1, respectively, and the corresponding adsorption capacity increased by 50% (4.50 mmol g -1 at 0 ℃ and 1 bar). Moreover, ANCT-1.0 maintained a high stability throughout consecutive adsorption–desorption cycles. The advantages of hierarchical N-doped carbon nanotubes, including their meso–microporous structures, high geometric aspect ratio and good stability, make them valuable and promising materials to capture carbon dioxide.
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Antiblurry Dejitter Image Stabilization Method of Fuzzy Video for Driving Recorders
( Jing-ying Xiong ),( Ming Dai ),( Chun-lei Zhao ),( Ruo-qiu Wang ) 한국인터넷정보학회 2017 KSII Transactions on Internet and Information Syst Vol.11 No.6
Video images captured by vehicle cameras often contain blurry or dithering frames due to inadvertent motion from bumps in the road or by insufficient illumination during the morning or evening, which greatly reduces the perception of objects expression and recognition from the records. Therefore, a real-time electronic stabilization method to correct fuzzy video from driving recorders has been proposed. In the first stage of feature detection, a coarse-to-fine inspection policy and a scale nonlinear diffusion filter are proposed to provide more accurate keypoints. Second, a new antiblurry binary descriptor and a feature point selection strategy for unintentional estimation are proposed, which brought more discriminative power. In addition, a new evaluation criterion for affine region detectors is presented based on the percentage interval of repeatability. The experiments show that the proposed method exhibits improvement in detecting blurry corner points. Moreover, it improves the performance of the algorithm and guarantees high processing speed at the same time.
ScienceON
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