• The Journal of the Korea Contents Association
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• v.15 no.10
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• pp.457-467
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• 2015

Despite the recent phenomena of Chonsei price increase, low interest rate and low growth, the indexes of financial and insurance industry production showed the results contrary to the common belief that the financial industry is sensitive to such financial crises. This is because the index of financial industry has continuously maintained a certain level of increase as opposed to the index of all industry production. Thus, this study aimed to analyze the dynamic correlation between the index of financial industry production and Chonsei price increase. A vector autoregression (VAR) model, which doesn't have a cointegrating relationship, was used to define the Chonsei price index and the indexes of all industry production and financial and insurance industry, which are macro economic variables, and describe the data. The results of the analysis on the time series data of 183 months from January 2000 to May 2015 showed that Chonsei price increase was not directly derived from the index of financial industry, but the finance industrial index affected Chonsei price increase.

• Proceedings of the KIEE Conference
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• 2015.07a
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• pp.268-269
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• 2015

복잡화된 국내 전력계통의 부하는 지속적으로 증가하는 반면 새로운 설비의 건설이 어렵고, 지역 편중화된 발전설비 때문에 선로 과부하, 고장전류, 전압안정도 문제가 발생하고 있다. 초고압 선로의 고장은 계통을 크게 불안정하게 하기 때문에 고장에 의해 영향을 받는 지역과 고장 후 계통의 조류변화를 분석하는 것은 중요하다. 현재 고장의 영향을 분석하기 위하여 조류계산을 통한 정적해석과 시모의를 통한 동적해석을 사용하다. 그리고 좀 더 큰 그림을 그리기 위하여 각종 전압안정도 지수를 사용한다. 하지만 일반적으로는 고장이후 계통에서 유효전력 흐름에 변화가 있는 지역을 분석하기 위해서는 번거로운 작업이 필요한 단점이 있다. Generation loass coefficient(GLC)는 transmmision loss factor(TLF)에서 발생한 문제를 분석하기 위해 제안되었고, load loss coefficient(LLC)는 각 부하에 전력을 공급하기 위해 발생하는 손실을 발전기별로 분석하기 위해 제안되었다. 위의 두 지수는 계통해석을 위해서 제안된 것은 아니었으나 전력조류추적기법을 기반으로하여 개발되었기 때문에 계통의 전력조류 흐름 변화에 대한 정보를 담고 있다는 특징이 있다. 본 논문에서는 GLC와 LLC의 개념에 대하여 설명하고 계통에서 발생하는 고장의 영향을 해석하는 관점에서 GLC와 LLC를 활용한다. 시뮬레이션 결과를 통해 GLC와 LLC지수로 계통에 대한 이해를 높이는 방안에 대하여 제안한다.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.180-180
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• 2019

본 연구의 목표는 돌발홍수 예 경보시스템(Flash Flood Warning System, FFWS)의 효용성 극대화를 위한 레이더 자료의 품질향상 기법을 개발하는 것이다. 지금까지 사용되어온 레이더 자료의 품질향상 기법들은 모두 자료의 평균값에 맞추어져 개발되었다. 그러나 돌발홍수 예 경보시스템에서 사용되는 강우강도 임계값은 평균값과 큰 차이가 난다. 따라서 레이더 자료를 이용하여 추정하는 큰 강우강도의 신뢰도는 떨어지게 된다. 이에 본 연구에서는 돌발홍수 예 경보시스템에 사용되는 목표 강우량에 대한 강우추정 관계식의 매개변수 추정 기법을 개발하고자 한다. 이를 위해 비슬산 레이더 반사도 자료와 비슬산 레이더 관측반경 내 위치한 AWS 지점의 강우자료를 이용하였다. 먼저, 강수입자분포(Drop Size Distribution, DSD)를 지수분포로 가정하여 유도한 레이더 강우추정 관계식을 재검토하였다. 다음으로 관측된 비슬산 레이더 반사도 자료를 10dBZ 단위로 구분하여 레이더 반사도 구간별로 레이더 반사도 자료와 강우자료 쌍에 대한 DSD 매개변수를 산정하였다. DSD 매개변수를 산정하기 위해 비슬산 레이더 반사도 자료와 AWS 지점의 강우자료를 지수분포로 가정하여 유도한 강우추정 관계식에 적용하였다. 다음으로 목표 강우량에 대한 강우추정 관계식의 매개변수 추정을 위해 레이더 반사도 구간별로 DSD 매개변수의 대푯값을 결정하였다. 마지막으로 지수분포로 가정하여 유도한 레이더 강우추정 관계식에 레이더 반사도 구간별 DSD 매개변수의 대푯값을 적용함으로써 목표 강우량에 대한 강우추정 관계식의 매개변수를 추정하였다.

• Clinical and Experimental Pediatrics
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• v.50 no.7
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• pp.629-635
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• 2007

Purpose : This study was conducted to assess the usefulness of fat-free mass index (FFMI) and fat mass index (FMI) as novel expression methods of body composition in children. Methods : A total of 466 Second grade students-248 boys and 218 girls- from all elementary schools the Gwacheon City underwent anthropometric measures including bioelectrical impedance analysis (BIA) and biochemical tests. The correlation coefficients between obesity indices, including FMI and FFMI, and metabolic risk factors, were assessed. Metabolic risk factors of children with increased FMI were compared with those of children with normal FMI. We compared FMI and FFMI percentile distribution between this study's subjects and the subjects of the Fukuoka body composition study. Results : FMI was lower and FFMI was higher in this study's subjects compared to the subjects of the Fukuoka body composition study. FMI was correlated with other obesity indices and several metabolic risk factors. Metabolic risk was higher in children with increased FMI than in children with normal FMI. Conclusion : FMI and FFMI were useful indicators in comparing difference of body composition among children that had different body size and growth. High FMI was related to increase of metabolic risk in children.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.4
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• pp.682-691
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• 2016

The purpose of this study is to explore the causal and precedence relationships between the housing sub-market and the results of a consumer sentiment survey about the housing market. This study investigates the relationships between the survey results and an apartment deal price index by size and bidding price rate in apartment auctions by extending research related to consumer sentiment surveys. We surveyed the Seoul Metropolitan Area and analyzed the results using a unit root test, cointegration test, Granger causality test, and cross-correlation test. It was confirmed that causality exists between the survey results and apartment deal price index by size and bidding price rate, and it was also confirmed that there are correlation and precedence relationships between them.

• Journal of dental hygiene science
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• v.15 no.2
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• pp.220-225
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• 2015

This study was conducted to examine O'leary index, patient hygiene performance (PHP) index, and toothbrushing practice assessment in subjects of college students in 20s who had been randomly selected. The purpose of this study is to examine if it is easy for rolling method which is recommended by many dental professionals in Korea to implement and to effectively remove dental plaque. Also, the correlations between dental plaque index and toothbrushing practice assessment with the course of time was confirmed, after instruction session on toothbrushing was provided. STATA 11.0 (StataCorp) was used for analysis. There was no significant difference on the three ways of O'leary index, PHP index, and toothbrushing practice assessment in using rolling method, bass technique and toothpick method when comparing the average resulting from first to third instruction session on toothbrushing. O'leary index, PHP index, and toothbrushing practice assessment were inspected with Kruskal-Wallis test which is used for non-parametric statistics. They were checked three times: the first, before the toothbrushing instruction was given; the second, two weeks after the toothbrushing session was given; and the third, 4 weeks after the session. The results are as follows: O'leary index stood at the lowest in the first experiment but showed the highest in the second (p=0.0001). PHP index was the highest level in the first trial and decreased in the second time, but increased again in the last examination (p=0.0001). Toothbrushing practice assessment also showed a similar tendency with PHP index (p=0.0001). In conclusion, rolling method is not the best option for everyone, and it is thought that more various toothbrushing ways need to be reviewed and recommended to people. Also, institutional framework is required for the continuous education on toothbrushing to be in place as the effectiveness of the education is decreased with time.

• Journal of the Korean Geotechnical Society
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• v.19 no.6
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• pp.371-378
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• 2003

The compression index of clay distributed in the west and south coast of the Korean Peninsula had been studied. Compression index was obtained from the conventional consolidation test, and was conducted accordingly to obtain the field virgin compression curve by means of Schmertmann's graphical correction. To examine a correlation closely between physical properties of soils($e_o$, LL, w) and compression index(Cc), linen. and non-linear regression analysis were employed based on the data collected from tests. The conclusions are as follows. The compression index obtained by means of Schmereann's graphical correction is about 1.16 times for the value of original oedometer test curve for U/D samples. Non-liner regression curve was preferable to establish a correlation equation rather than linear regression curve. All derived equations so far achieved have been summarized and given. However, linear equation is better for practical use so that part by part simplified linear equations were also suggested alternatively together with their own non-linear regression curve.

• Journal of Korean Society for Geospatial Information Science
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• v.21 no.3
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• pp.63-71
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• 2013

This study calculated vegetation indexes such as SR, NDVI, SAVI, and LAI to figure out correlations regarding vegetation by using high resolution KOMPSAT-2 images and LANDSAT images based on the forest biomass distribution map that utilized field survey data, satellite images and LiDAR data and then analyzed correlations between their values and forest biomass. The analysis results reveal that the vegetation indexes of high resolution KOMPSAT-2 images had higher correlations than those of LANDSAT images and that NDVI recorded high correlations among the vegetation indexes. In addition, the study analyzed the characteristics of hyperspectral images by using the COMIS of STSAT-3 and Hyperion images of a similar sensor, EO-1, and further the usability of biomass estimation in hyperspectral images by comparing vegetation index, which had relatively high correlations with biomass, with the vegetation indexes of LANDSAT with the same GSD conditions.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.31 no.6A
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• pp.449-456
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• 2011

Spacing factor proposed by Power is a concept of averaging air void spacing composed of geometric models. Thus, there's a limitation on simulating actual air void characteristics in concrete. This study presents SDI(spacing distribution index) to overcome the limitation of spacing factor. SDI is also evaluated through comparing SDI with SF(spacing factor). In this study, it was confirmed that SF decreased due to increasing air-entrainer content but SDI increased. This occurs because SDI is the area of spacing distribution curve and SDI increases with increasing the frequency of spacing. SDI is evaluated to have better coverage below $300{\mu}m$ of SF so that determination of critical point of SDI above 80% of durability index can be easily obtained with more reliability. SDI is the area of spacing distribution curve and reflects actual air void characteristics in concrete. A comparative study of SDI and results of freeze-thaw test will be performed later.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.331-331
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• 2023

일반적으로 가뭄을 해석하기 위하여 가뭄심도, 빈도, 피해면적 및 기간의 영향 등을 고려한 가뭄지수를 이용하며, 이러한 가뭄지수는 주로 지점자료 기반 지상관측자료를 활용하여 산정한다. 하지만 지점자료 특성상 미계측 지역에 대한 정확한 데이터 취득이 어렵기 때문에 미계측 지역에 대한 가뭄 분석의 한계가 발생한다. 다양한 계측기반의 지상센서들이 확충되면서 통계학적 기법기반 공간분포 개선방안을 제시하고 있지만, 정확한 가뭄평가 자료가 추가 및 개선되는 것이 중요하다. 본 연구에서는 원격탐사기술을 활용하여 지점자료의 한계를 극복한 격자기반의 공간정보를 표출함으로써 새로운 가뭄모니터링 방안을 제시하는 것을 목표로 한다. 이를 위해 지상관측자료로 가뭄을 판단하기 어려운 미계측 지역에 대한 가뭄 판단 및 예측 정확도 향상을 위하여 원격탐사기술을 활용한 공간정보 빅데이터를 구축하고자 한다. 미국 국립가뭄경감센터에서 제시한 식생가뭄반응지수 (VegDRI, Vegetation Drought Response Index)는 식생지수, 기상학적 가뭄지수, 지역적 특성을 반영한 생물물리학적 정보를 통합한 하이브리드 가뭄지수로 가뭄과 관련된 공간정보를 활용하여 가뭄을 판단하는 지표이다. VegDRI 산정을 위하여 ERA5의 격자기반 강수자료, MODIS 센서 기반 식생지수 등 격자기반의 공간정보를 수집하였으며, 전처리 모듈을 구축하였다. 또한, 기존 기상학적 가뭄지수인 표준강수지수 (SPI, Standardized Precipitation Index)와 비교를 통해 VegDRI의 국내 적용성을 평가하였으며, 국내 가뭄사례에 적용하여 적절한 가뭄 판단지표로써 활용할 수 있을 것으로 판단된다.