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Land Cover Classification Map of Northeast Asia Using GOCI Data
Son, Sanghun,Kim, Jinsoo The Korean Society of Remote Sensing 2019 大韓遠隔探査學會誌 Vol.35 No.1
Land cover (LC) is an important factor in socioeconomic and environmental studies. According to various studies, a number of LC maps, including global land cover (GLC) datasets, are made using polar orbit satellite data. Due to the insufficiencies of reference datasets in Northeast Asia, several LC maps display discrepancies in that region. In this paper, we performed a feasibility assessment of LC mapping using Geostationary Ocean Color Imager (GOCI) data over Northeast Asia. To produce the LC map, the GOCI normalized difference vegetation index (NDVI) was used as an input dataset and a level-2 LC map of South Korea was used as a reference dataset to evaluate the LC map. In this paper, 7 LC types(urban, croplands, forest, grasslands, wetlands, barren, and water) were defined to reflect Northeast Asian LC. The LC map was produced via principal component analysis (PCA) with K-means clustering, and a sensitivity analysis was performed. The overall accuracy was calculated to be 77.94%. Furthermore, to assess the accuracy of the LC map not only in South Korea but also in Northeast Asia, 6 GLC datasets (IGBP, UMD, GLC2000, GlobCover2009, MCD12Q1, GlobeLand30) were used as comparison datasets. The accuracy scores for the 6 GLC datasets were calculated to be 59.41%, 56.82%, 60.97%, 51.71%, 70.24%, and 72.80%, respectively. Therefore, the first attempt to produce the LC map using geostationary satellite data is considered to be acceptable.
Accuracy Assessment of Global Land Cover Datasets in South Korea
Son, Sanghun,Kim, Jinsoo The Korean Society of Remote Sensing 2018 大韓遠隔探査學會誌 Vol.34 No.4
The national accuracy of global land cover (GLC) products is of great importance to ecological and environmental research. However, GLC products that are derived from different satellite sensors, with differing spatial resolutions, classification methods, and classification schemes are certain to show some discrepancies. The goal of this study is to assess the accuracy of four commonly used GLC datasets in South Korea, GLC2000, GlobCover2009, MCD12Q1, and GlobeLand30. First, we compared the area of seven classes between four GLC datasets and a reference dataset. Then, we calculated the accuracy of the four GLC datasets based on an aggregated classification scheme containing seven classes, using overall, producer's and user's accuracies, and kappa coefficient. GlobeLand30 had the highest overall accuracy (77.59%). The overall accuracies of MCD12Q1, GLC2000, and GlobCover2009 were 75.51%, 68.38%, and 57.99%, respectively. These results indicate that GlobeLand30 is the most suitable dataset to support a variety of national scientific endeavors in South Korea.
Herbal Medicine Treatment of Refractory Epilepsy in Tuberous Sclerosis Complex : A Case Report
Son, Kwanghyun,Lee, Jinsoo,Kim, Moonju The Society of Korean Medicine 2015 대한한의학회지 Vol.36 No.2
Infants with tuberous sclerosis complex (TSC) have a higher chance of experiencing seizures before the age of 1 year; in particular, they commonly accompany infantile spasms. In cases where infantile spasms resulting from TSC are drug-resistant, more severe neuro-developmental and cognitive impairments occur. This particular case dealt with an infant with TSC who continued to experience partial seizures and infantile spasms despite using two different kinds of antiepileptic drugs (AEDs). His spasms ceased on the seventh day of taking modified Yukmijihwang-tang (YMJ), at which point he stopped the use of all AEDs. He became seizure-free after a month of the treatment and modified hypsarrythmia was found to have been resolved in the electroencephalogram test. Until now, the infant has been taking YMJ for 16 months and is maintaining the seizure-free state without side effects. Moreover, his developmental status is continually improving, with a significant progress in language and cognitive-adaptive abilities. Such results suggest that YMJ can serve as an alternative treatment option for refractory epilepsy.
Shin, Jinsoo,Choi, Jong-Gyun,Lee, Jung-Woon,Lee, Cheol-Kwon,Song, Jae-Gu,Son, Jun-Young Korean Nuclear Society 2021 Nuclear Engineering and Technology Vol.53 No.10
As a form of industrial control systems (ICS), nuclear instrumentation and control (I&C) systems have been digitalized increasingly. This has raised in turn cyber security concerns. Cyber security for ICS is important because cyber-attacks against ICS can cause not only equipment damage and loss of production but also personal and public safety hazards unlike in general IT environments. Numerous risk analyses have been carried out to enhance the safety of ICS and recently, many studies related to the cyber security of ICS are being conducted. Many existing risk analyses and cyber security studies have considered safety and cyber security separately. However, both safety and cyber security perspectives should be considered when analyzing risks for complex and critical ICS facilities such as nuclear power plants (NPPs). In this paper, the STPA-SafeSec methodology is selected to consider both safety and security perspectives when performing a risk analysis for NPPs in order to assess impacts on the safety by cyber-attacks against the digital I&C systems. The STPA-SafeSec methodology was applied to a test-bed system that simulates a condensate water (CD) system in an NPP. The process of the application up to the development of mitigation strategies is described in detail.
Accuracy Assessment of Global Land Cover Datasets in South Korea
( Sanghun Son ),( Jinsoo Kim ) 대한원격탐사학회 2018 大韓遠隔探査學會誌 Vol.34 No.4
The national accuracy of global land cover (GLC) products is of great importance to ecological and environmental research. However, GLC products that are derived from different satellite sensors, with differing spatial resolutions, classification methods, and classification schemes are certain to show some discrepancies. The goal of this study is to assess the accuracy of four commonly used GLC datasets in South Korea, GLC2000, GlobCover2009, MCD12Q1, and GlobeLand30. First, we compared the area of seven classes between four GLC datasets and a reference dataset. Then, we calculated the accuracy of the four GLC datasets based on an aggregated classification scheme containing seven classes, using overall, producer’s and user’s accuracies, and kappa coefficient. GlobeLand30 had the highest overall accuracy (77.59%). The overall accuracies of MCD12Q1, GLC2000, and GlobCover2009 were 75.51%, 68.38%, and 57.99%, respectively. These results indicate that GlobeLand30 is the most suitable dataset to support a variety of national scientific endeavors in South Korea.