http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
He, Yinsheng,Dong, Jiling,Choi, Woosung,Jung, Jinesung,Shin, Keesam John Wiley Sons, Ltd 2012 Surface and interface analysis Vol.44 No.11
<P>An improved non‐destructive replication (NDR) metallography method was developed and applied successfully for the precipitates study in 1Cr‐1Mo‐0.25V turbine rotor steel. The preparation of the replicas for electron microscopy was carried out with a combination of electropolishing, etching, and acetate film setting for extraction medium. The exposure of the precipitates was improved by electropolishing followed by chemical etching. The electropolishing after application of acetate film, instead of stripping, resulted in a quality improvement of the extraction replica. Three types of precipitates (M<SUB>23</SUB>C<SUB>6</SUB>, Mo<SUB>2</SUB>C, and VC) were identified by TEM analysis of thin foil. The types, sizes, and chemical compositions of the precipitates from the bulk SEM observation and TEM analyses of thin foil specimen and the NDR extraction replica matched very well, indicating NDR extracted all types of the precipitates with high efficiency. Copyright © 2012 John Wiley & Sons, Ltd.</P>
Defect-induced Visible-light Emission in GaN Nanocrystals Synthesized through a Solution-based Route
Yinsheng He,Zhixin Wan,신기삼,Jiling Dong,Youngmoom Yu 한국물리학회 2012 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.61 No.9
In this study, nanocrystalline GaN was synthesized through a metathesis reaction at room temperature. The microstructure of the GaN examined by X-ray diffraction (XRD) and transmission electron microscopy (TEM) showed the single nature with würtzite structure. High resolution TEM (HRTEM) images showed that the defects were formed in the as-prepared GaN nanocrystals. Room temperature photoluminescence (PL) spectra showed the near band-edge emission at 356 nm (3.48 eV) as well as visible light emission at 420 ~ 460 nm (2.70 ~ 2.95 eV). The increase in the intensity of visible light peak was observed by annealing the as-prepared specimen at 850 ℃ for 3 hrs, which was due to the increase in the numeric density of defects caused by de-passivation of impurity during annealing. Therefore, it can be concluded that the visible light emission in the GaN nanocrystals was induced by the defects (possibly N vacancies) in the structure.
Dong, Jiling,He, Yinsheng,Lee, Chan-Gyu,Lee, Byungho,Yoon, Jeongbong,Shin, Keesam Cambridge University Press 2013 Microscopy and microanalysis Vol.19 No.5
<B>Abstract</B><P>In this study, every effort was exerted to determine and accumulate data to correlate microstructural and compositional elements in ultra-low-carbon (ULC) steels to variation of carbon content (12-44 ppm), manganese (0.18-0.36%), and sulfur (0.0066-0.001%). Quantitative analysis of the ULC steel using optical microscope, scanning electron microscope, transmission electron microscope, and three-dimensional atom probe revealed the decrease of grain size and dislocation density with the increase of carbon contents and/or increase of the final delivery temperature. For a given carbon content, the grain interior carbon concentration increases as the grain size increases.</P>
MissingFound: An Assistant System for Finding Missing Companions via Mobile Crowdsourcing
( Weiqing Liu ),( Jing Li ),( Zhiqiang Zhou ),( Jiling He ) 한국인터넷정보학회 2016 KSII Transactions on Internet and Information Syst Vol.10 No.10
Looking for missing companions who are out of touch in public places might suffer a long and painful process. With the help of mobile crowdsourcing, the missing person`s location may be reported in a short time. In this paper, we propose MissingFound, an assistant system that applies mobile crowdsourcing for finding missing companions. Discovering valuable users who have chances to see the missing person is the most important task of MissingFound but also a big challenge with the requirements of saving battery and protecting users` location privacy. A customized metric is designed to measure the probability of seeing, according to users` movement traces represented by WiFi RSSI fingerprints. Since WiFi RSSI fingerprints provide no knowledge of users` physical locations, the computation of probability is too complex for practical use. By parallelizing the original sequential algorithms under MapReduce framework, the selecting process can be accomplished within a few minutes for 10 thousand users with records of several days. Experimental evaluation with 23 volunteers shows that MissingFound can select out the potential witnesses in reality and achieves a high accuracy (76.75% on average). We believe that MissingFound can help not only find missing companions, but other public services (e.g., controlling communicable diseases).