Zobrazeno 1 - 10
of 72
pro vyhledávání: '"Kwan-Young Oh"'
Publikováno v:
Geo Data, Vol 5, Iss 4, Pp 231-237 (2023)
In South Korea, rural areas have been recognized for their potential as sustainable spaces for the future, but they are currently facing major problems. Unplanned construction of facilities such as factories, livestock facilities, and solar panels ne
Externí odkaz:
https://doaj.org/article/784148a0cef74fa085bf17e3f364bbea
Autor:
Che-Won Park, Hyung-Sup Jung, Won-Jin Lee, Kwang-Jae Lee, Kwan-Young Oh, Jae-Young Chang, Moung-jin Lee, Geun-Hyouk Han, Il-Hoon Choi
Publikováno v:
Geo Data, Vol 5, Iss 4, Pp 238-243 (2023)
Air pollution is a serious problem in the world, and it is necessary to monitor air pollution emission sources in other neighboring countries to respond to the problem of air pollution spreading across borders. In this study, we utilized domestic and
Externí odkaz:
https://doaj.org/article/d3aed05e331e42618fd2775c10edd4c3
Publikováno v:
Open Geosciences, Vol 8, Iss 1, Pp 117-132 (2016)
The aim of this study is to predict landslide susceptibility caused using the spatial analysis by the application of a statistical methodology based on the GIS. Logistic regression models along with artificial neutral network were applied and validat
Externí odkaz:
https://doaj.org/article/28dc18d238634f528581972a671f2886
Publikováno v:
Remote Sensing, Vol 12, Iss 22, p 3772 (2020)
This paper present efficient methods for merging KOMPSAT-3A (Korea Multi-Purpose Satellite) medium wave Infrared (MIR) and panchromatic (PAN) images. Spatial sharpening techniques have been developed to create an image with both high spatial and high
Externí odkaz:
https://doaj.org/article/63c8519327a442ac83ab7d65ce7d33f5
Publikováno v:
Remote Sensing, Vol 12, Iss 20, p 3372 (2020)
Human-induced deforestation has a major impact on forest ecosystems and therefore its detection and analysis methods should be improved. This study classified landscape affected by human-induced deforestation efficiently using high-resolution remote
Externí odkaz:
https://doaj.org/article/f68955d6fc8c47b29fefbcb70fd2ac73
Autor:
Kwan Young Oh, Sunghee Lee, Jaewan Park, Mi Hye Park, Ji Hun Jeong, Jung Bo Yang, Chul Kwon Lim, Joong Gyu Ha, Yun Seok Yang
Publikováno v:
Frontiers in Cellular & Infection Microbiology; 2024, p1-11, 11p
Autor:
Sunghee Lee, Kwan Young Oh, Heeji Hong, Chan Hee Jin, Eunjung Shim, Seung Hyun Kim, Byung-Yong Kim
Publikováno v:
Frontiers in Public Health, Vol 8 (2020)
Abnormal vaginal microbiota (AVM), including bacterial vaginosis (BV), is caused by a microbiota imbalance. Nugent scoring is the gold standard for the laboratory diagnosis of BV; however, it is somewhat subjective to interpret, and challenging to di
Externí odkaz:
https://doaj.org/article/e951efb338824021945da3b34b653235
Development of a Technique for Classifying Photovoltaic Panels Using Sentinel-1 and Machine Learning
Publikováno v:
Journal of Sensors. 2022:1-11
With the increasing interest in effective renewable alternative energy sources resulting from the Paris Agreement on Climate Change in 2015, photovoltaic (PV) power generation is attracting attention as a practical measure. In this study, we develop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e92f25a316ea7c915dfac0e909c5b61
https://doi.org/10.1155/2022/1121971
https://doi.org/10.1155/2022/1121971
Autor:
Jun Sook Park, Yun Seok Yang, Kwan Young Oh, Yun Ha Hwang, Myung-Ju Lee, Sung-Hee Lee, Joong Gyu Ha, In Taek Hwang, Myung-Shin Lee, Eunjung Shim
Publikováno v:
Frontiers in Cellular and Infection Microbiology
Frontiers in Cellular and Infection Microbiology, Vol 11 (2021)
Frontiers in Cellular and Infection Microbiology, Vol 11 (2021)
Vaginal dysbiosis, such as bacterial vaginosis (BV) and aerobic vaginitis (AV), is an important cause of premature birth in pregnant women. However, there is very little research on vaginal microbial distribution in AV compared to that in BV. This st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c5520885ff9e60c0cad0d535822cac9
http://europepmc.org/articles/PMC8458944
http://europepmc.org/articles/PMC8458944
Vaginal microbiota composition as a diagnostic tool for bacterial vaginosis in pregnant Korean women
Publikováno v:
Clinical and Experimental Obstetrics & Gynecology. 46:27-31
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc6c686962bbf4ced7e30b96661d906e
https://doi.org/10.12891/ceog4255.2019
https://doi.org/10.12891/ceog4255.2019