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Lysobacter pedocola sp. nov., a novel species isolated from Korean soil
Jang, Jun Hyeong,Lee, Dongwook,Seo, Taegun MICROBIOLOGICAL SOCIETY OF KOREA 2018 JOURNAL OF MICROBIOLOGY -SEOUL- Vol.56 No.6
A Gram-negative, yellow-pigmented bacterial strain, designated <TEX>$IPC6^T$</TEX>, was isolated from soil in an arid region of Goyang-si (Gyeonggi-do, South Korea). Cells were strictly aerobic, non-spore-forming, rod-shaped. The strain grew within a temperature range of <TEX>$10-42^{\circ}C$</TEX> (optimum, <TEX>$30^{\circ}C$</TEX>) and pH of 5.0-11.0 (optimum, pH 8.0) in the presence of 0-2% (w/v) NaCl. Phylogenetically, the novel strain was closely related to members of the Lysobacter genus based on 16S rRNA sequence similarity, and showed the highest sequence similarity to Lysobacter niastensis KACC <TEX>$11588^T$</TEX> (98.5%). The predominant fatty acids were <TEX>$iso-C_{15:0}$</TEX>, <TEX>$iso-C_{16:0}$</TEX>, and summed feature 9 (<TEX>$iso-C_{17:1}\;{\omega}9c$</TEX>), with Q-8 identified as the major ubiquinone. The polar lipid content included diphosphatidylglycerol, phosphatidylethanolamine, phosphatidylglycerol, an unknown aminophospholipid, and an unidentified phospholipid. DNA-DNA hybridization results indicated that the strain <TEX>$IPC6^T$</TEX> was distinct from Lysobacter niastensis KACC <TEX>$11588^T$</TEX> (<TEX>$37.9{\pm}0.14%$</TEX>), Lysobacter panacisoli KACC <TEX>$17502^T$</TEX> (<TEX>$56.4{\pm}0.13%$</TEX>), Lysobacter soli KCTC <TEX>$22011^T$</TEX> (<TEX>$8.1{\pm}0.04%$</TEX>), Lysobacter gummosus KCTC <TEX>$12132^T$</TEX> (<TEX>$9.6{\pm}0.03%$</TEX>), and Lysobacter cavernae KCTC <TEX>$42875^T$</TEX> (<TEX>$37.5{\pm}0.14%$</TEX>), respectively. The DNA G + C content of the novel strain was 71.1 mol%. Based on the collective phenotypic, genotypic and chemotaxonomic data, the <TEX>$IPC6^T$</TEX> strain is considered to represent a novel species in the genus Lysobacter, for which the name Lysobacter pedocola sp. nov. (<TEX>$=KCTC\;42811^T=JCM\;31020^T$</TEX>) is proposed.
( Si-hyeong Jang ),( Chan-seok Ryu ),( Ye-seong Kang ),( Sae-rom Jun ),( Jun-woo Park ),( Tapash Kumar Sarkar ),( Hye-young Song ) 한국농업기계학회 2018 한국농업기계학회 학술발표논문집 Vol.23 No.1
The objective of this study is to select optimal spectral bands that is possible to classify the difference in canopy reflectance between Garlic and Onion. The Transform Divergence(TDiver) and Decision Tree(DT) were applied as the classification methods based on the machine learning. The canopy reflectance was acquired two types such as multispectral camera mounted on Unmanned Aerial Vehicle(UAV) and hyperspectral camera based on ground. The study was conducted at Hyeonggyeong-myeon, Muan-gun, Jeollanam-do from February to May in 2016 at Garlic and Onion fields. The multispectral images were acquired with an interval of two weeks using the fixed wing UAV(eBee, Sensefly) and the hyperspectral images were acquired with an interval of one month during the growing season. The crop canopies were extracted from the acquired images by Ortho’s method for the homogeneous training sample data. In hyperspectral image, the high dimensional data was averaged into 20, 40, 50 and 80nm of FWHM depending on the commercialized band pass filter in order to develop the multispectral imaging sensor. TDiver was calculated to evaluate the separability of canopy reflectance between Garlic and Onion depending on the growth stages. Separability of TDiver represents classification possibility between garilc and onion. Separability of less than 1700 means low classification possibility and it of more than 1900 means high classification possibility. The method of DT using the averaged of FWHM data was conducted to select spectral band using the training samples of 30% and evaluate the classification accuracy using the test samples of 70%. As a result of multispectral image, the separability of canopy reflectance between Garlic and Onion was shown at three-dimensional spectral band set such as NIR, Red and Green as the best because TDiver value is highest as 1958. It means that it is possible to classify Garlic and Onion on 12<sup>th</sup> May as the late growing stage. In the remaining grwoth stages, however, these are difficult to classify Garlic and Onion because TDiver values were lower and less than 1358. In the case of hyperspectral images, the single spectral bands namely green blue and NIR were selectred for FWHM 25nm and 40nm in 22<sup>th</sup> March, 19<sup>th</sup> April and 12<sup>th</sup> May. Alongside, two spectral bands in 12<sup>th</sup> May and Green and Blue bands in 22<sup>th</sup> March and 19<sup>th</sup> April were selected for FWHM 50nm and two spectral bands in 19<sup>th</sup> April for FWHM 80nm were selected where Green and NIR bands were selected in 22<sup>th</sup> March and 12<sup>th</sup> May. The classification accuracy of decision tree developed using the data on 22<sup>th</sup> March was clearly classified as overall accuracy 100% using one spectral band for all FWHM. The DT of two spectral bands (460nm, 720nm) selected for FWHM 80nm in 19<sup>th</sup> April was the better overall accuracy 94.9% and Kappa 0.892 than it of one spectral band. The DT of two spectral bands (940nm, 430nm) selected for FWHM 50nm in 12<sup>th</sup> May was the better accuracy 92.1% and Kappa 0.839 than it of one spectral band.
키넥트 센서를 이용한 실용적인 3차원 안면 진단기 연구
장준수(Jun-Su Jang),도준형(Jun-Hyeong Do),김장웅(Jang-Woong Kim),남지호(Jiho Nam) 한의병리학회 2015 동의생리병리학회지 Vol.22 No.2
Facial diagnosis based on quantitative facial features has been studied in many Korean medicine fields, especially in Sasang constitutional medicine. By the rapid growing of 3D measuring technology, generic and cheap 3D sensors, such as Microsoft Kinect, is popular in many research fields. In this study, the possibility of using Kinect in facial diagnosis is examined. We introduce the development of facial feature extraction system and verify its accuracy and repeatability of measurement. Furthermore, we compare Sasang constitution diagnosis results between DSLR-based system and the developed Kinect-based system. A Sasang constitution diagnosis algorithm applied in the experiment was previously developed by a huge database containing 2D facial images acquired by DSLR cameras. Interrater reliability analysis result shows almost perfect agreement (Kappa = 0.818) between the two systems. This means that Kinect can be utilized to the diagnosis algorithm, even though it was originally derived from 2D facial image data. We conclude that Kinect can be successfully applicable to practical facial diagnosis.
2016년 한국 경기도의 3월 황사기간 동안 부유세균 군집과 다양성에 대한 메타지노믹 분석
장준형(Jun Hyeong Jang),김지혜(Ji Hye Kim),배경선(Kyung-seon Bae),김정명(Jeong Myeong Kim),이원석(Won seok Lee),정현미(Hyen-mi Chung),박상정(Sangjung Park),서태근(Taegun Seo) 한국환경보건학회 2017 한국환경보건학회지 Vol.43 No.6
Objective: Bacterial abundance and community compositions have been examined in Asian dust events, clarifying their impacts on public health. This study aims to determine the bacterial community compositions and viable bacteria in Asian dust particles in the Asian dust or non-Asian dust event of March 2016. Methods: The dust samples were collected using the high volume air sampler or high volume cascade impactor, and bacterial 16S rRNA genes were amplified using PCR, followed by pyrosequencing. Bacterial diversity index, richness estimate and community composition in the particles were analyzed from the sequencing data using Mothur software. Results: The results showed that the diversity and richness during Asian dust events were higher than them in non-Asian dust events. The total bacterial community analysis showed that at the phylum Proteobacteria, Actinobacteria and Firmicutes were the most dominant of Asian dust events and non-Asian dust events. In addition, the bacterial colony counts were higher during Asian dust event, comparing with non-Asian dust event. Conclusions: This study showed that bacterial community and richness of Asian dust samples was more complex and higher than non-Asian dust samples in Gyeonggi-do, Korea, which could affect public health and environment. Thus, the continuous monitoring of Asian dust could be an alternative for managing airborne bacteria.
가변 사판식 피스톤펌프의 맥동 변수 분석 및 최적 밸브플레이트 노치 설계를 위한 압력 및 유량맥동에 관한 연구
배준형(Jun-Hyeong Bae),정원지(Won-Jee Chung),장준호(Jun-Ho Jang),윤영환(Young-Hwan Yoon),전주열(Ju-Yeol Jeon) 한국생산제조학회 2015 한국생산제조학회지 Vol.24 No.2
We propose a simulation technique to estimate the reduction effect of the pressure/flow pulsation by analysis of the pulsation variables and notch shape of the valve plate of a swash-plate-type variable piston pump. First, using SimulationX<SUP>ⓡ</SUP>, we perform a theoretical kinematic analysis according to the variable swash-plate angle and rotational velocity in order to design a single-piston pump. In designing the notch shape of the valve plate of the swash-plate-type variable piston pump as one of the pulsation variables, we investigate the effect of the pulsation by comparing two notch types (circular type and V type). Then, we extend our analysis to a nine-piston pump model. This paper not only confirms the effect of the pressure/flow pulsation according to pulsation variables but can also be applied to the development of a SimulationX<SUP>ⓡ</SUP>-based simulation technique for notch-shape optimization for a swash-plate-type variable piston pump.