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Candida albicans菌의 生育을 抑制하는 韓藥材 探索에 關한 硏究
성연수,한영환,이태균 동국대학교 경주대학 1995 東國論集 Vol.14 No.-
Thirty-six medicinal herbs and 14 prescribed herb medicines which have usually been used for treatment of reducing fever, purging intense heat, and detoxication were screened for antifungal activity against Candida albicans which causing Leukorrhea. Minimal inhibitory concentrations of water- and ethanol-soluble extracts of Hwangbaek (Phellodendron amurense) and Hwangkeum (Scutellaria baicalensis) were determined. The water-soluble extracts of Hwangyon (Coptis japonica), Hwangbaek (P. amurense), and Hwangkeum (S. baicalensis) showed antifungal activities against C. albicans. The water- and ethanol-soluble extracts of Hwangbaek (P. amurense) and Hwangkeum (S. baicalensis) showed antifungal activities. With the water-soluble extract of Hwangbaek (P. amurense) and Hwangkeum (S. baicalensis), minimal inhibitory concentrations (MICs) against C. albicans were 10 and 20㎎/ml, respectively. With the ethanol-soluble ones of Hwangbaek (P. amurense) and Hwangkeum (S. baicalensis), MICs were 5 ㎎/ml and 10 ㎎/ml, respectively. The prescribed herb medicines, sambohwan, showed antifungal activity against C. albicans.
성연수,김명호,Sung, Y.S.,Kim, M.H. 한국재료학회 2006 한국재료학회지 Vol.16 No.7
An apparatus capable of melting and solidifying various materials containerlessly in high vacuum via electrostatic levitation (ESL) has been developed for finding materials with new or improved properties and further building a database for processing materials in microgravity. Containerless solidification of semiconductors, metals, and alloys such as Si, Zr, Nb, Mo, $V_3Si$, and boron carbides has been carried out to test how various materials at how high temperatures can be processed by ESL. The materials in levitation became spherical at melting by their own surface tensions which were ideal for measuring intrinsic thermophysical properties of materials in the liquid state. Multiple cycles of melting and cooling were reproducibly repeated and radiative cooling curves were recorded.
성연수,이계완 ( Yeon Soo Song,Kye Wan Lee ) 한국주조공학회 1987 한국주조공학회지 Vol.7 No.4
To investigate the grain refining mechanism of Al by the addition of Ti-B, the unidirectional solidifications of 99.9%Al and 99.7%Al were performed under the condition of varing the pouring temperature. The solidification modes of Al were studied by the cooling curve analyses, metallographic and microprobe examinations. The results were as follows: 1) Grains were most refined with an addition of 0.15wt.%Ti-0.021wt.%B but the grain size with 0.2wt.%Ti-0.028wt.%B was increased. 2) The grain size of 99.7wt.%Al was even more refined than that of 99.9wt,%Al with the same amount of Ti-B. 3) As the pouring temperature increased, the grain size of pure Al and an alloy with 0.lwt,%Ti-0.014wt.%B was increased. However, an alloy with 0.2wt.%Ti-0.028wt.%B did not show any effects of temperature. 4) TiC(Al-Ti) and (Al-Ti-C) were identified as nucleants for Al.
A Rhombohedral Structure-Properties Relation in Pb-free Bi0.5(Na1.xKx)0.5TiO3 Ceramics
성연수,S. Baik,G. H. Ryu,J. H. Lee,J. H. Cho,송태권,김명호,T. G. Park,도달현,S. S. Kim 한국물리학회 2012 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.60 No.2
A structure-properties relation in Bi0.5(Na1−xKx)0.5TiO3 ceramics was investigated for K contents ranging from 0 to 20 mol% substituting for Na in (Bi0.5Na0.5)TiO3 ceramics. A rhombohedral perovskite solid solution was confirmed up to x = 18 mol%. An inverse relation between depolarization temperature (Td) and piezoelectric coefficient (d33) was observed in the rhombohedral phase region. As x increased toward the morphotropic phase boundary (MPB), Td was lowered while d33 was enhanced. Structurally, the rhombohedral lattice distortion (90−α) decreased while the lattice constant (aR) increased with increasing x. 90−α appeared to be coupled with the compositiondependent variations in Td and d33; the smaller 90 − α, the lower Td, and the higher d33.
비납계 (Bi<sub>0.5</sub>Na<sub>0.5</sub>)<sub>(1-x)</sub>Ba<sub>x</sub>TiO<sub>3</sub> 압전 세라믹 재료의 최적 조성
성연수,여홍구,조종호,송태권,정순종,송재성,김명호,Sung, Yeon-Soo,Yeo, Hong-Goo,Cho, Jong-Ho,Song, Tae-Kwon,Jeong, Soon-Jong,Song, Jae-Sung,Kim, Myong-Ho 한국재료학회 2007 한국재료학회지 Vol.17 No.2
Optimum compositions for piezoelectric properties of $(Bi_{0.5}Na_{0.5})_{(1-x)}Ba_xTiO_3$ ceramics were investigated in the range of $x=0{\sim}0.1$ covering rhombohedral to tetragonal phase regions. No impurity phases other than a perovskite phase were found and the grain size decreased with increasing x. A two-phase coexisting morphotropic phase area rather than boundary dividing rhombohedral and tetragonal phase regions appeared to exist at $x=0.05{\sim}0.08$. As for piezoelectric properties within morphotropic phase compositions, the piezoelectric constant ($d_{33}$) and the electromechanical coupling factor ($K_p$) showed peak values at x=0.065, 192 pC/N and 34%, respectively, indicating x=0.065 as an optimum composition for piezoelectric $(Bi_{0.5}Na_{0.5})_{(1-x)}Ba_xTiO_3$ ceramics.
성새롬,최세환,안재준,최형주,정용현,유세환,염연수,최현준,민철희 한국원자력학회 2022 Nuclear Engineering and Technology Vol.54 No.10
Single-photon emission computed tomography is one of the reliable pin-by-pin verification techniques for spent-fuel assemblies. One of the challenges with this technique is to increase the total fuel assembly verification speed while maintaining high verification accuracy. The aim of the present study, therefore, was to develop an artificial intelligence (AI) algorithm-based tomographic image analysis technique for partial-defect verification of fuel assemblies. With the Monte Carlo (MC) simulation technique, a tomographic image dataset consisting of 511 fuel-rod patterns of a 3 3 fuel assembly was generated, and with these images, the VGG16, GoogLeNet, and ResNet models were trained. According to an evaluation of these models for different training dataset sizes, the ResNet model showed 100% pattern estimation accuracy. And, based on the different tomographic image qualities, all of the models showed almost 100% pattern estimation accuracy, even for low-quality images with unrecognizable fuel patterns. This study verified that an AI model can be effectively employed for accurate and fast partial-defect verification of fuel assemblies