• Journal of Korean Society for Atmospheric Environment
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• v.22 no.3
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• pp.353-360
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• 2006

This study identified a particle size distribution (PSD) of fine particulate matter and emission characteristics of V and Ni by the comparison between anthropogenic sources of oil combustion (industrial boiler, oil power plant, etc.) and lab-scale combustion using a drop-tube furnace. In oil combustion source, the mass fraction of fine particles (less than 2.5 micrometers in diameter) was higher than that of coarse particles (larger than 2.5 micrometers in diameter) in $PM_{10}$ (less than 10 micrometers in diameter) as like in lab-scale oil combustion. In addition to this, it was identified that ultra-fine particles (less than 0.1 micrometers in diameter) had a large distribution in fine particles. Toxic metals like V and Ni had large mass fractions in fine particles, and most of all was distributed in ultra-fine particles. Most of ultra-fine particles containing toxic metals have been emitted into ambient by combustion source because it is hard to control by the existing air pollution control device. Hence, we must be careful on these pollutants because it is obvious that these are associated with adverse health and environmental effect.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.5
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• pp.509-514
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• 2015

In this paper, we introduce a new pattern classifier which is based on the learning algorithm of Extreme Learning Machine the sort of artificial neural networks and fuzzy set theory which is well known as being robust to noise. The learning algorithm used in Extreme Learning Machine is faster than the conventional artificial neural networks. The key advantage of Extreme Learning Machine is the generalization ability for regression problem and classification problem. In order to evaluate the classification ability of the proposed pattern classifier, we make experiments with several machine learning data sets.

• Journal of the Korean Association of Geographic Information Studies
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• v.15 no.1
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• pp.172-183
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• 2012

In 2011, floods were at the worst stage of devastation in Chao Phraya river basin of Thailand. The purpose of this study is to trace the flood inundation area around Chao Phraya river basin by using Terra MODIS image because it has the ability of spatiotemporal dynamics. The MODIS indices, which included the enhanced vegetation index(EVI), land surface water index(LSWI), and the difference in the values of EVI and LSWI(DVEL), were extracted from MODIS product MOD09 8-day composite datasets with a spatial resolution of 500m from Jul. 29, 2011 to Jan. 09, 2012. We found that combined application of EVI, LSWI, and DVEL was suitable for monitoring flood inundation. For the extracted flood inundation area and water-related area. The result can be used to acquire the flood inundation data scattered and demonstrate the potential for the use of MODIS data for temporal and spatial detection of flood effects.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.473-473
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• 2017

최근 광역 및 국지적 호우의 발생빈도 증가로 인해, 능동적 대응 기술 개발과 실용화가 필요하다. 홍수재해 관련정보의 경우 전문기관 및 정부부처를 위한 홍수정보 표출 시스템은 구축되어 있다. 그러나 홍수재해의 분석, 모니터링, 예경보 시스템 구축 등 홍수정보 요소기술의 웹기반 실시간 홍수 예측시스템 연계가 미흡하다. 이에 홍수 예측 및 조절 등 다양한 정보의 연계 및 공동 활용요구가 증가되고 있으므로 각각의 정보를 실시간으로 분석하고 모니터링 할 수 있는 체계를 수립하고 통합 정보시스템 기반을 마련해야할 필요가 있다. 국내에서 수재해의 광범위한 관측과 정확한 평가 및 예측을 위해 위성 레이더 및 관측장비 자료를 활용한 시스템 구축에 대한 연구가 활발히 진행되고 있다. 이와 관련하여 위성 레이더 및 관측장비 분야별 시스템들을 연계하여 통합 홍수 정보 시스템 구축방안을 제시하고자 한다. 이를 위해 위성 레이더 및 관측장비 기반 TRMM, GPM 등의 위성강우, AWS, 고정밀 소형 레이더, UAV를 이용한 실시간 모니터링 등의 관측 자료를 수집이 필요하다. 그리고 홍수를 감시 평가 예측 등에 필요한 강수량, 수위, 토양수분, 하천범람범위 등의 수문정보를 분석 평가하는 효율적인 광역 및 국지적 홍수 대응 관리체계를 구축해야 한다. 이에 본 연구에서는 광역 및 국지적 홍수 피해 범위와 규모 등을 평가 산정하고 정확히 예측하기 위해 국내에서 활용되고 있는 위성 레이더 및 관측장비 기반의 기술들을 연계 활용하여 시스템을 구축하고자 한다. 먼저, 시스템에서 고정밀 소형레이더 기반 강우추측을 통해 수문정보와 연계하여 레이더 관측지역에 대한 국지적 호우 및 침수 예측을 할 수 있다. 또한 위성 및 관측장비 기반 위성영상을 통해 침수지역 분석 및 위성강우를 평가하여, 광역 홍수재해 및 침수지역을 분석할 수 있다. 추가적으로 UAV 관측장비를 활용하여 하천의 홍수범람범위를 관측하여 침수지역 분석에 대한 정확도를 높일 수 있다. 이와 같은 광역 및 국지적 홍수 정보를 체계적으로 감시 평가 예측 할 수 있는 통합적인 홍수 대응 및 관리 시스템 구축으로 연간 홍수 피해규모 저감을 위한 선제적 대응 관리 시스템으로 활용될 것으로 기대된다. 또한 이를 통해 홍수 관련 정보를 분석 관리 할 수 있는 수자원 분야에 혁신적인 시스템을 확보하는 소중한 토대가 될 것으로 사료된다.

• Korean Journal of Breeding Science
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• v.42 no.1
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• pp.1-10
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• 2010

Five mutants were investigated at the molecular level to determine the factors responsible for mutated endosperm types. They were classified as high (HA) or low amylose (LA) phenotypes based on the amylose content in endosperm. The five were previously produced from Ilpum and Shindongjin cultivar treated with N-methyl-N-nitrosourea and gamma-ray irradiation, respectively. Analysis of the genomic structure and expression of Granule-bounded Starch Synthase I (GBSSI) genes revealed that mutants generally showed a higher incidence of nucleotide transition than transversion, and the $A:T{\rightarrow}G:C$ transition was particularly prevalent. The rates of nucleotide substitution in HA mutants were generally higher than those in the LA mutants, leading to higher substitutions of amino acid in the HA mutants. Neither nucleotide substitutions interfering with intron splicing or causing early termination of protein translation were found, nor any large-sized deletions or additions were found in all the mutants. In principle, amylose content can be regulated by three factors: internal alterations of GBSSI protein, the strength of gene expression, and other unknown external factors. Our results indicate that the endosperm mutants from Shindongjin arose from internal alterations of GBSSI proteins, which may be the result of amino acid substitutions. On the other hand, the Ilpum mutants might be principally caused by the alteration of gene expression level. Analysis of another three glutinous cultivars revealed that the major factor leading to glutinous phenotypes is the 23-bp duplicative motif (5'-ACGGGTTCCAGGGCCTCAAGCCC-3') commonly found in exon 2, which results in the premature termination of protein translation leading to the production of a non-functional GBSSI enzyme.

• Journal of Physiology & Pathology in Korean Medicine
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• v.21 no.5
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• pp.1278-1284
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• 2007

Solanum Iyratum Thunb (Solanaceae) has multiple applications in korean traditional medicine because of its cytotoxic, immunological and anti-inflammatory activities. However, no study on the anti-arthritic activity of Solanum Iyratum Thunb has been reported in vivo. Rheumatoid arthritis (RA) is a systemic autoimmune disease with chronic inflammation characterized by hyperplasia of synovial cells in affected joints, which ultimately leads to the destruction of cartilage and bone. Cytokine production were assessed during CIA(collagen-induced arthritis) model mice in lymph node (LN), in knee joint and spleen, using ELISA. DBA/1j mice were immunized with bovine type II collagen. After a second collagen immunization, mice were treated with Solanum Iyratum Thunb (SLT) orally at 400, 200 mg/kg once a day for 4 weeks. The severity of arthritis within the knee joints was evaluated by histological assessment of cartilage destruction and pannus formation. SLT significantly suppressed the progression of CIA and inhibited the production of TNF-alpha and IFN-gamma in serum and spleen cell culture supernatant. The erosion of cartilage was dramatically reduced in mouse knees after treatment with SLT. In conclusion, our results demonstrates that SLT significantly suppressed the progression of CIA. This action was characterized by suppression of arthritis index, cartilage erosion and synovial cell infiltration and the decreased production of $TNF-{\alpha}$, $IFN-{\gamma}$, CD4+, CD19+, CD3+/CD69+ cells (in lymph node), CD11b+/Gr-1 + (in knee joint).