• Journal of Korean Society for Atmospheric Environment
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• v.4 no.2
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• pp.11-19
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• 1988

대기오염물질 속에 함유되어 있는 다환방향족 탄화수소 (PAHs)는 분자식 구조가 비슷한 수십개의 이성질체가 여러 종류의 유기화합물과 혼합되어 존재한다. 본 연구에서는 환경오염 시료중의 PAHs를 분석하는데 있어서 분석방법과 결과를 비교하기 위하여 지침이 될 수 있는 환경표준 기준물을 개발할 목적으로 굴뚝 안쪽벽에서 긁어 채취한 검댕을 시료로 선책하여 액체/액체 용매 추출방법에 의해 PAHs 분류부분을 얻었다. Phenanthrene 이외의 30여종의 PAHs 화합물을 가스크로마토그라피의 머무른시간과 가스크로마토그라피/질량분석기에 의하여 분리, 판명하였고 5종의 주 PAHs 화합물을 정확하게 정량 분석하였다. 정량분석 결과의 신뢰도, 정확도, 정밀도는 미국 NBS의 표준기준물 1647을 분석하여 검정치와 비교함으로써 평가하였다.

• Journal of the Korean earth science society
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• v.25 no.4
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• pp.265-269
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• 2004

본 연구에서는 대기 중 황성분을 채취하는데 가장 널리 활용되는 방법 중의 하나인 테들러 백 방식의 채취와 관련된 오차요인을 여러 가지 관점에서 검정하고자 하였다. 이를 위해, 표준시료를 백과 백간에 이동시켜 주므로서, 백의 벽면을 통해 초래될 수 있는 성분별 손실율을 비교하였다. 상대습도 0 %, 실온 조건에서 실험한 결과, 황화수소와 멀캡턴과 같은 성분들은 백과의 접촉이 일어나면서, 20 %에 가까운 손실율이 확인되었다. 반면, 상대적으로 이들에 비해 반응성이 높지 않은 DMS, DMDS와 같은 성분들도 10 %내외의 손실율이 확인되었다. 이들 성분의 정확한 정량을 위해서는 테들러 백의 흡착손실 등에 대한 특성을 정확하게 파악하는 것이 중요하다. 특히, 습도나 온도와 같은 환경조건의 변화에 대한 고려도 동시에 수반되어야 할 것이란 점을 확인할 수 있었다.

• Spatial Information Research
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• v.12 no.1
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• pp.111-125
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• 2004

Improvements of classification accuracy are main issues in satellite image classification. Considering the facts that multiple images in the same area are available, there are needs on researches aiming improvements of classification accuracy using multiple data sets. In this study, orthogonal summation method of Dempster-Shafer theory (theory of evidence) is proposed as a multiple imagery classification method and posterior probabilities and classification uncertainty are used in calculation process. Accuracies of the proposed method are higher than conventional classification methods, maximum likelihood classification(MLC) of each data and MLC of merged data sets, which can be certified through statistical tests of mean difference.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.30 no.3
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• pp.279-285
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• 2012

Albeit the use of terrestrial 3D laser scanner (TLS) in the parts of landslide monitoring, cultural heritage documentation, civil engineering, urban engineering, etc. is increasing more and more, there is no international standardization regulation about the accuracy evaluation of the geometric element values, target, instrument calibration and test procedures, etc. Accordingly, this study deals with the manufacturing of TLS performance test target and the evaluation of TLS distance measurement and shows its suitability as the test target.

• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.341-345
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• 2015

최근 기존의 SMS(Surface Modeling System) 모형에 Tuflow모듈이 추가된 형태로 새로운 버전이 출시되면서 윈도우버전에서 2차원 홍수범람모의가 가능하게 되었다. 따라서, 본 연구에서는 Tuflow모형이 추가된 SMS ver.11.2.7을 활용하여 2차원 홍수범람 분석을 실시하고 이에 따른 2012년에 발생한 실제 침수구간과의 비교를 통하여 Tuflow모형의 실제 적용성을 검토하고자 하였다. 적용대상유역은 2012년도 침수가 발생하였으며, 전제 침수 지역 21개 중 하천내 수문을 통하여 침수가 발생한 지역, 내수침수가 발생한 지역 등을 제외한 순수하게 하천의 범람으로 인한 침수구역인 2개 지역을 대상으로 하여 하천범람모형의 재현성을 검토하였다. 검토결과, 2개 지역에 대한 공간적인 홍수범람의 재현성은 침수면적으로 판단해 볼 때 우수한 것으로 판단되었으며, 침수심으로는 침수조사의 자료가 미흡한 상황으로 명확하게 판단하기는 어려운 것으로 나타났다. Mesh작성의 숙련도, GRID의 크기 등과 같은 기술적 요인과 더불어 침수흔적의 정확한 구획선의 결여 등으로 인하여 비교적 정확한 비교는 불가하였으나, 지형자료를 활용하여 2차원적 접근을 시도한 결과 침수흔적과 홍수범람의 재현성은 다소 우수한 것으로 평가할 수 있는 것으로 나타났다. 다만, 향후 보다 정확한 침수흔적이나 침수자료의 구축을 통하여 보정, 검정 등을 실시한 후 홍수범람의 재현성을 신뢰할 만한 추가적인 연구가 지속적으로 이루어져야 할 것으로 판단된다.

• Horticultural Science & Technology
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• v.16 no.3
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• pp.364-365
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• 1998

The present study was conducted to develop a more accurate and efficient measure than any other quantifying measures of the leaf variegation when influenced by changes in certain physical and environmental factors. Through this computer quantification for two Tradescantia cultivars, it was ascertained that total leaf area decreased and extent of the leaf variegation increased as light intensity increased. According to this result to determine the brightness of the leaf, using the same aforementioned measurement, the leaf color was brightest in the sun and it become darker as light intensity decreased. High correlation was found between total leaf and leaf variegation area measured by leaf area meter and the pixel of computer graphic file through scanning. Thus, the leaf area and leaf variegation area measurement using computer graphic will be used very efficiently.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.28 no.2
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• pp.53-62
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• 2020

This study is to evaluate the accuracy of the meteorological information provided for the aircraft operating at low altitude. At first, it is necessary to identify crucial elements of weather information closely related to flight safety during low altitude flights. The study conducted a survey of pilots of low altitude aircraft, divided into pre-flight and in-flight phases, and reached an opinion that wind direction, wind speed, cloud coverage and ceiling and visibility are important items. Related to these items, we compared and calculated the accuracy of TAFs and METARs from Taean Airfield, Seosan Airport and Gunsan Airport because of their high number of domestic low-altitude flights. Accuracy analysis evaluated the accuracy of two numerical variables, Mean Absolute Error(MAE) and Root Mean Square Error(RMSE), and the cloud coverage which is categorical variable was calculated and compared by accuracy. For numeric variables, one-way ANOVA, which is a parameter-test, was approached to identify differences between actual forecast values and observations based on absolute errors for each item derived from the results of MAE and RMSE accuracy analyses. To determine the satisfaction of both normality assumptions and equivalence variability assumptions, the Shapiro-Wilk test was performed to verify that they do not have a normality distribution for numerical variables, and for the non-parametric test, Kruscal-Wallis test was conducted to determine whether or not they are satisfied.

• Journal of Life Science
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• v.19 no.12
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• pp.1698-1704
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• 2009

Gemcitabine is an anticancer drug used to treat a variety of solid tumors. The drug is rapidly inactivated by cytidine deaminase in plasma and its hydrophilicity restricts the extent of quantification that is possible using reversed-phase liquid chromatography. In this paper, we report a rapid and precise method to analyze velocity and peak efficiency using ultra-performance liquid chromatography (UPLC) with a reversed-phase column. The retention periods of gemcitabine and 2'-deoxycytidine at 283 nm were 3.2 and 2.1 min, respectively. The assay provided highly linear results in the range of $0.1{\sim}20{\mu}g/ml$ ($r^2$ > 0.999). The coefficients of variation of the intra-day and inter-day assays were less than 10.0%. We observed that the estimated average concentrations of the intra-day and inter-day assays ranged from 97.3 to 113.5% to verify the accuracy. These results suggest that this new reversed-phase UPLC method is a rapid and reliable way of determining gemcitabine levels.

• Journal of the Korean Data and Information Science Society
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• v.27 no.4
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• pp.899-910
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• 2016

Asymptotic tests are often not suitable for the analysis of sparse ordered contingency tables as asymptotic p-values may either overestimate or underestimate the true pvalues. In this pater, we describe permutation procedures in which we compute exact or resampling p-values for a weighted specific-category agreement in ordered $k{\times}k$ contingency tables. We use the weighted specific-category kappa proposed by $Kv{\dot{a}}lseth$ to measure the extent to which two independent raters agree on the specific categories. We carried out comparison studies between exact p-values, resampling p-values and asymptotic p-values using $3{\times}3$ contingency data (real and artificial data sets) and $4{\times}4$ artificial contingency data.

• The Korean Journal of Applied Statistics
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• v.22 no.5
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• pp.1085-1096
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• 2009

Population stratification can cause spurious associations between genetic markers and disease locus. In order to handle this population stratification in haplotype-based case-control association studies, we added population indicators as covariates to the haplotype trend regression model proposed by Zaykin et al. (2002). We investigated through simulations how both population stratification and measurement error in the estimation of true population of each individual affect type I error probabilities of the association tests based on both Zaykin et al.'s (2002) model and the proposed model. Based on those results, in the situation that there exists population stratification but there is no error in population classification of each individual, our proposed model does satisfy a type I error probability whereas Zaykin et al.'s (2002) model does not. However, as the measurement error increases, a type I error probability of our model correspondingly becomes larger than a nominal significance level. It implies that as long as uncertainty in the estimation of true population of each individual still remains, it is nearly impossible to avoid false positive in case-control association studies based on haplotypes.