• Proceedings of the Korean Statistical Society Conference
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• 2002.05a
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• pp.99-104
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• 2002

cDNA 마이크로어레이자료를 이용한 분류방법은 수많은 유전자의 발현을 동시에 모니터링 할 수 있으므로 특정 질병간의 분자생물학적 변이를 이해하는데 있어 기존의 분류방법보다 신뢰성이 훨씬 높을 것으로 기대되고 있다 최근에 Dudoit et al.(2001)은 cDNA 마이크로어레이를 이용한 유전자발현자료의 분석에 있어 분류를 위한 여러 고전적인 판별분류기법 및 최근에 개발된 기법들을 비교, 평가하였다. 본 논문에서는 Dudoit et al.(2001)에서 다루지 않았던 많은 최신 기법들을 포함하여 인간의 종양 자료뿐만이 아니라 농작물을 포함한 동식물 자료에 적용하여 보다 폭넓은 비교연구를 하였다.

• Journal of the Korean Geographical Society
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• v.35 no.2
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• pp.177-187
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• 2000

설악산의 교목한계선, 왜성변형수, 편형수, 포복형 나무 등 기형 수목 형태는 아고산대의 생태적 점이대에 나타나는 식생 경관으로 지생태학적으로 중요한 자연유산이다. 아고산대의 기형 수목 형태는 주로 저온, 강풍, 건조 그리고 적설 등 겨울 기후와 관련되지만 다른 계절과도 관계된다. 설악산의 눈잣나무는 세계적 분포 남한계선으로 생물지리적으로 가치가 높으며, 아고산 환경에 적응한 독특한 외관형을 나타낸다. 설악산 아고산대의 식생과 경관은 과거의 자연환경 변천사를 복원하고, 현재의 환경을 이해하고, 미래의 환경 변화의 영향을 파악하는 지표로서도 중요한 자원이다. 차후 환경 변화에 따른 설악산 아고산대의 식생과 경관의 변화에 대한 중장기적인 모니터링이 요구된다.

• Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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• 2002.04a
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• pp.262-262
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• 2002

2001년 12월과 2002년 1월에 걸쳐 조간대 환경에 위치하는 어느 해양사격장 중위에서 일정한 간격으로 표층(<5 cm) 해양퇴적물(총22개소)과 해양생물체(굴; 총10개소)를 샘플링하고, Pb, Cu, Cd, Zn를 위시한 중금속원소의 공간적 농도 분포와 생흡수도(bioavailability)를 분석 고찰하였다. 본 논문에서는 예비 연구 결과를 간단히 소개한다. 해양퇴적물에 대한 전함량 분석, 0.1N HCl에 의한 부분 분석 및 BCR법에 의한 연속추출 분석 결과는 다음과 같다. Pb, Cu, Cd, Zn을 위시한 중금속은 대체적으로 점오염원인 사격장으로 갈수록 전함량 및 부분함량이 높아지는 경향을 보여주었다. 사격장 주변에서 가장 중요한 오염물질로 알려져 있는 Pb는 오염원 주변에서만 높은 함량을 보여주어, 해양 환경 하에서 이동도( 및 생흡수도)가 비교적 낮은 것으로 나타났다. 반면, Cu, Cd, Zn의 경우에는 보다 넓은 영역에 걸쳐 퇴적물 내의 부화(enrichment)가 인지되어 연구지역의 갯벌 환경에 의미있는 정도로 영향을 미치고 있는 것으로 나타났다. 이 곳의 생물체(굴) 역시 Pb에 대해서는 낮은 흡수도(-값의 생농축계수)를 나타낸 반면, Cu, Cd, Zn에 대해서는 의미있는 생흡수도를 나타내었다. BCR 연속추출법에 의한 퇴적물 중금속의 존재형태 해석 결과를 보면, fraction 1(F1; exchangeable+acidic phase) 및 fraction 2(F2; reducible phase)의 기여도가 지배적이고, 또한 오염원으로 갈수록 그 기여도는 점차 증가됨을 나타내었다. 특이하게도 유기물과의 친화력이 높은 것으로 알려진 Cu 역시 F1과 F2에 대하여 높은 함량을 나타내어 오염원으로부터의 Cu의 확산을 지시하였다. 외국에 비하여, 그동안 국내에서는 사격장 주변의 자연환경변화에 관하여 연구된 결과가 거의 전무하였다. 본 연구 결과는, 이와 유사한 사격장 주변 환경에서의 중금속 분포와 거동 특성에 대하여 종합적인 모니터링(즉, 체계적인 환경지구화학적 조사ㆍ연구)이 시급함을 시사해 주고 있다.

• Economic and Environmental Geology
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• v.50 no.5
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• pp.341-352
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• 2017

Along with Cs-137 (half-life: 30.17 years), Sr-90 (half-life: 28.8 years) is one of the most important environmental monitoring radioactive elements. Rapid and easy monitoring method for Sr-90 using Laser-Induced Breakdown Spectroscopy (LIBS) has been studied. Strontium belongs to a bivalent alkaline earth metal such as calcium and has similar electron arrangement and size. Due to these similar chemical properties, it can easily enter into the human body through the food chain via water, soil, and crops when leaked into the environment. In addition, it is immersed into the bone at the case of human influx and causes the toxicity for a long time (biological half-life: about 50 years). It is a very reductive and related with the specific reaction that makes wet analysis difficult. In particular, radioactive strontium should be monitored by nuclear power plants but it is very difficult to be analysed from high-cost problems as well as low accuracy of analysis due to complicated analysis procedures, expensive analysis equipment, and a pretreatment process of using massive chemicals. Therefore, we introduce the Laser-Induced Breakdown Spectroscopy (LIBS) analysis method that analyzes the elements in the sample using the inherent spectrum by generating plasma on the sample using pulse energy, and it can be analyzed in a few seconds without preprocessing. A variety of analytical plates for samples were developed to improve the analytical sensitivity by optimizing the laser, wavelength, and time resolution. This can be effectively applied to real-time monitoring of radioactive wastewater discharged from a nuclear power plant, and furthermore, it can be applied as an emergency monitoring means such as possible future accidents at a nuclear power plants.

• The Korean Journal of Food And Nutrition
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• v.28 no.4
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• pp.728-736
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• 2015

Cronobacter species (Cronobacter spp.), previously known as Enterobacter sakazakii, are gram negative food borne pathogenic bacteria. They pose a very high risk of infection to neonates and immuno-compromised individuals and can affect the human central nervous system. Consequently, survivors often suffer from severe neurological impairment including hydrocephalus, quadriplegia, and developmental delays. Cronobacter spp. were not only isolated from plant food and products such as cereals, fruits, vegetables, legume products, herbs, and spices but also from animal source foods such as milk, meat, fish, and products made from these foods. Therefore, rapid detection of Cronobacter spp. is essential for food safety. Many detection methods have been developed since the Cronobacter spp. were first reported. However, the development of more rapid, sensitive, and easy-to-use detection methods for the Cronobacter spp. is required. In this review, our aim was to study and compare the available detection methods for Cronobacter spp., including culture-based, molecular biology-based, and immunology-based methods. This study will contribute to the development of new and rapid detection method for Cronobacter spp.

• Proceedings of the KSRS Conference
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• 2007.03a
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• pp.204-209
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• 2007

수중에서의 하향 방향의 감쇠 계수 (Diffuse attenuation coefficient of down-welling irradiance, $K_d$)에 대한 연구는 상충 해양에 대한 열전달 수중에서의 광합성 및 다른 생물학적 과정에 대한 연구，해양 일차 생산력 추정, 대양 및 연안에서의 탁도 추정 등에 대한 연구의 보조 자료로서 해양원격탐사를 포함한 해양에 대한 연구에 매우 중요한 요소이다. 우리나라는 세계 최초의 정지궤도 해색 센서인 Geostationary Ocean Color Imager (GOCI)를 2008년 말에 통신해양기상위성 (COMS, Communication Ocean and Meteorological Satellite)에 탑재하여 쏘아 올릴 계획에 있다. 이 센서는 매일 한 시간 간격으로 한반도 주변 해역을 8회 이상 관측할 계획에 었다. 따라서 기존의 해색 센서들에 비해서 시간 해상도가 향상되기 때문에 해양 환경 모니터링에 있어서 많은 도움이 될 것으로 예상된다. 본 연구에서는 앞으로 운영될 GOCI 센서에 대한 수중에서의 하향 방향의 감쇠계수 (The diffuse attenuation coefficient of down-welling irradiance, $K_d$) 알고리즘을 현장 관측 값을 이용하여 미리 만들어 보고 이를 현재의 대표적인 해색 센서인 SeaWiFS 영상의$K_d$(490) product와 비교하여 보았다.

• Korean Journal of Environmental Biology
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• v.32 no.1
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• pp.88-94
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• 2014

The present scientific scenario shows that, the long-distance dispersal of any species plays a major role in population as well as the flow of individual between populations. However, newly recorded plant at Dokdo was confirmed by using morphological and molecular markers of nrDNA and cpDNA. This scientific study has identified the plant species was as a Euonymus hamiltonianus Wall. (Celastraceae). And after careful studies, the laboratory results shows that the distribution of tree species at Dokdo as an Oceanic Island is a meaningful thing because of the inflow of plant in adverse condition of environment such as a shallow soil layers and steep terrain. So it is necessary to continuous monitor for the inflow of non-indigenous plant into Dokdo.

• Journal of the Korean Association of Geographic Information Studies
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• v.18 no.1
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• pp.48-63
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• 2015

In this study, we introduce various hyperspectral data processing techniques for the monitoring of shallow and coastal waters to enlarge the application range and to improve the accuracy of the end results in Korea. Unlike land, more accurate atmospheric correction is needed in coastal region showing relatively low reflectance in visible wavelengths. Sun-glint which occurs due to a geometry of sun-sea surface-sensor is another issue for the data processing in the ocean application of hyperspectal imagery. After the preprocessing of the hyperspectral data, a semi-analytical algorithm based on a radiative transfer model and a spectral library can be used for bathymetry mapping in coastal area, type classification and status monitoring of benthos or substrate classification. In general, semi-analytical algorithms using spectral information obtained from hyperspectral imagey shows higher accuracy than an empirical method using multispectral data. The water depth and quality are constraint factors in the ocean application of optical data. Although a radiative transfer model suggests the theoretical limit of about 25m in depth for bathymetry and bottom classification, hyperspectral data have been used practically at depths of up to 10 m in shallow and coastal waters. It means we have to focus on the maximum depth of water and water quality conditions that affect the coastal applicability of hyperspectral data, and to define the spectral library of coastal waters to classify the types of benthos and substrates.

• Korean Journal of Remote Sensing
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• v.25 no.5
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• pp.399-409
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• 2009

Many researches have shown that NDVI provides a potential methods to derive meaningful metrics that describe ecosystem functions. In this paper we investigated the use of the MODIS NDVI (Normalized Difference Vegetation Index) to monitor vegetation phenology dynamics of Northern plateau region, North Korea, during last 9-years (2000~2008). The findings of this paper can be summarized as follows. First, the length of growing season ranged from a low of 128 days in 2003 to a high of 176 days in 2000 and 2005. On the average of the last 9 years, the highest NDVI of 0.86 was marked on 28 July. Greenup onset occurs at the start of May, while the senescence begins between late September and October. Second, these annual vegetation cycles were compared with Seorak and Jiri Mountain regions of South Korea which have similar vegetation condition. Greenup onsets in South Korea were observed earlier than those of North Korea and the average time lag between the South and North Korea in Greenup was about 16 days which is a time-resolution of remotely sensed data. Sub-alpine conifers of such areas may be severely affected by the large of phenological characteristics due to the global warming trend.

• Korean Journal of Ecology and Environment
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• v.38 no.3 s.113
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• pp.361-371
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• 2005

The objective of study was to diagnose integrative ecological health of Daejeon Stream, one of the tributaries of Guem River, during May 2004 ${\sim}$ April 2005. The research approach was primarily based on a Qualitative Habitat Evaluation Index (QHEI) and the Index of Biological Integrity (IBI) using fish assemblage. These outcomes were compared with conventional chemical dataset. For the experiment, four sampling sites were chosen from Daejeon Stream and long-term water quality data during 1995 ${\sim}$ 2004 (obtained from the Ministry of Environment) were analyzed in the spatial and temporal aspects. For the biological health assessment, we developed a stream health assessment model (SHA model) far regional applications. We found that current water quality conditions, based on the COD, BOD, TN and TP, were enhanced by 1.6 ${\sim}$ 5.3 fold over the period of 1995 ${\sim}$ 2004 and that the parameters showed a typical longitudinal decline from the upstream to downstream reach. The differences of water quality between the two reaches were more than 4.4 times, indicating a large spatial variations within the stream. The health conditions, based on the SHA model, averaged 23 and varied from 20 to 26 depending on the sampling stations. Values of the QHEI varied from 39 (Poor condition) to 124 (Cood condition)and values of QHEI in the reach of S2 ${\sim}$ S4 had significantly lower than in the headwater site (S1). Also, biological stream health, based on the criteria of US EPA (1993), was judged as 'Poor condition', in the S4 where TN, TP, BOD and COD were highest. In the meantime, maximum value of SHA (26) was found in the upstream reach (S1) where the water quality and QHEI were best. We also found that compositions of sensitive species showed a linear function with water quality conditions and this pattern was evident in the tolerant species. Thus, the biological stream health, based on the SHA model, matched well water chemistry. Overall outcomes suggest that the biological health impact was a function of chemical degradation and physical habitat quality in the stream.