Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Jun-taek Oh"'
Autor:
Sang Hyeon Ahn, Kyu Ha Shin, Jun Taek Oh, Sang Chul Park, Min‐Seok Rha, Soo In Kim, Hyung‐Ju Cho, Joo‐Heon Yoon, Chang‐Hoon Kim
Publikováno v:
International Forum of Allergy & Rhinology.
Publikováno v:
Physics and High Technology. 28:13-18
Publikováno v:
Antimicrobial Agents and Chemotherapy. 63
Exebacase, a recombinantly produced lysin (cell wall hydrolase), and comparator antibiotics were tested by the broth microdilution method against strain sets of Staphylococcus and Streptococcus spp., which are the most common causes of infective endo
Autor:
Seungwoo Shin, Yoonkey Nam, Gu-Haeng Lee, Jinsung Rho, Bong Jae Lee, Jun Taek Oh, YongKeun Park
Publikováno v:
Physical Review Applied. 11
Measurement and control of a microscopic system's temperature distribution are increasingly important in diverse applications, yet measuring a three-dimensional (3D) temperature distribution at the microscale has remained out of reach. Here researche
Publikováno v:
Antimicrobial agents and chemotherapy. 63(6)
CF-301 (exebacase) is a recombinantly produced bacteriophage-derived lysin (cell wall hydrolase) and is the first agent of this class to enter clinical development in the United States for treating bacteremia including endocarditis due to Staphylococ
Publikováno v:
2018 Asia-Pacific Microwave Conference (APMC).
This paper presents a stacked patch antenna array that operates at a 5.8 GHz of ISM band for microwave power transmission (MPT) applications. The stacked patch antenna consists of three layers that include a circular patch antenna with an air-gap, a
Publikováno v:
Korean Chemical Engineering Research. 49:206-210
**School of Applied Chemistry and Biological Engineering, Chungnam National University, 220 Gung-dong, Yuseong-gu, Daejeon 305-764, Korea*ENET Co., B105, Konyang University, 26 Nae- dong, Nonsan-si, Chungnam 320-711, Korea**Department of Environmenta
Publikováno v:
The KIPS Transactions:PartB. :377-384
A new algorithm in order to classify various contents in the image documents, such as text, figure, graph, table, etc. is proposed in this paper by classifying contents using texture-based PCA, and by segmenting document images using local entropy-ba
Publikováno v:
The KIPS Transactions:PartB. :7-16
Some clustering algorithms have a problem that an image is over-segmented since both the spatial information between the segmented regions is not considered and the number of the clusters is defined in advance. Therefore, they are difficult to be app
Publikováno v:
The KIPS Transactions:PartB. :587-594
This paper proposes a multi-level thresholding method for image segmentation using fuzzy clustering algorithm in transition region. Most of threshold-based image segmentation methods determine thresholds based on the histogram distribution of a given