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박형진,오원식,Ae-Na Park,Kyung-Rae Rho,Jong-Ho Shin,Yeongjeon Kim,Sung-Chan Jo 한국자기공명학회 2011 Journal of the Korean Magnetic Resonance Society Vol.15 No.1
We have performed Liquid Chromatography–Solid Phase Extraction–NMR (LC–SPE–NMR) analysis for liquid crystalline mixture and elucidated the structures of selected components by NMR spectra. Combining the results of one-dimensional 1H experiments as well as homonuclear and heteronuclear two-dimensional experiments, we could analyze the molecular structure of the liquid crystal singles whose structure had not been interpretable by mass spectrometry alone.
So‑Yeong Jeon,Daeyeon Kim 대한전기학회 2020 Journal of Electrical Engineering & Technology Vol.15 No.4
In image denoising and reconstruction problems, it is useful to monotonically quantify the distortions in images representing the same scene. For this purpose, we propose a training-free no-reference image distortion assessment method for both blur and noise. The method is based on the observation that the structural similarity between an input image and its shifted-andnoised copy is related to the levels of blur and noise distorting the input image. Computing a noised copy would require a random number generation, but assuming virtual noise independent from the input image, we derived the method that does not require computing actual noised copy. In our experiments of assessing the singly/multiply distorted images representing the same scene, the proposed method generally showed better monotonicity than competing state-of-the-art methods. The proposed method runs about 80 times faster than those competing methods and it can assess local regions of the input image, which makes it useful in spatially adaptive denoising applications.