• Proceedings of the Korea Water Resources Association Conference
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• 2009.05a
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• pp.68-73
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• 2009

본 연구는 SWSI를 보완한 식을 이용하여 금강유역에 대해 농업가뭄지수(ASWSI)를 산정하고 농업가뭄 분포도를 작성하여 가뭄지수에 의한 농업용 저수지 유역의 가뭄을 평가하는 방법을 제시하였다. SWSI는 유역 단위의 수문학적 가뭄을 평가하기 위하여 개발된 지표로서 융설량, 강수량, 하천유출량, 저수지 저류량이 입력인자로서 유역별, 계절별로 입력인자를 선택적으로 적용하여 유역의 수문학적 가뭄을 평가한다. 본 연구에서는 가뭄에 영향을 미치는 인자를 강수량, 저수지 유입량 및 저수량으로 결정하고 ASWSI의 입력인자를 저수지 상류유역은 강수량과 유입량, 하류지역은 강수량과 저수량을 사용하였다. 금강유역 내 천만톤 이상의 대표 저수지 7개를 선정하여 16개년(1991-2006) 동안의 저수지 상 하류 유역의 농업가뭄지수를 산정하였으며, 산정된 결과를 토대로 다중회귀분석을 실시하여 금강유역 용수구역별 농업가뭄지수 분포도를 작성하였다. 적용결과를 과거 가뭄사상에 검증한 결과, 1994년 1, 2차 가뭄 피해기간인 7월과 9월에 대해서 심한가뭄 상태로 표현하였고, 1995년 가장 가뭄이 심화되었던 6월의 가뭄에 대해서도 심한가뭄으로 표현하였으며, 2001년에도 5월의 최대 용수부족 상황에 대해서 심한가뭄을 표현하였다. 이처럼 ASWSI가 실제 가뭄 발생 현상과 일치함을 확인하였으며, 농업가뭄을 표현하는데 있어 적합한 것으로 판단된다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.26 no.5B
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• pp.608-614
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• 2001

본 논문에서는 비동기 CDMA 시스템에서 다중 접속 간섭의 영향을 줄이기 위해 제안된 역상관기 중에서 반복연산을 사용하여 계산량을 개선한 반복적 역상관기의 수렴특성에 대하여 분석하였고 이를 모의 실험을 통하여 검증하였다. 반복적 역상관기에서 수렴특성을 결정하는 수렴 인자를 유도하였고, 가장 빠른 수렴 특성을 보장하는 최적의 수렴 상수를 상관행렬의 최대 및 최소 고유값으로 나타낼 수 있음을 증명하였다. 또한 반복 과정의 중간 결과에 대한 최대 오차 범위를 유도하였다.

• 한국노년학
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• v.34 no.2
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• pp.349-367
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• 2014

The purpose of this study is to investigate the relationships between socio-economic position(SEP), environmental exposures, and health of older people in Korea. This study used the data from 'Environmental Exposures and Their Health Effect in Korean Elderly Population'. The sample includes a total of 563 elderly people who were 60 years of age or older. Data on SEP, environmental exposure, and health impact were collected and analyzed using descriptive statistics and multivariate regressions. As a result, study participants' SEP including age, family type, monthly expenditure, type of house, and region was significantly associated with environmental exposure. Also, while adjusting for SEP, environmental exposure such as allowing indoor smoking was associated with self-rated health and depression of study participants. The study findings showed inequality in environmental exposure and health outcomes by SEP in Korean elderly. Environmental exposure was associated with health outcome even after adjusting SEP, and this implied that environmental exposure could be a critical factor in explaining heath inequality by SEP. Further studies are necessary to better understand the causal relationships among SEP, environmental exposure, and health outcomes.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.38 no.4
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• pp.335-343
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• 2001

The conventional wavelet-based fractal image coding has the disadvantage that the encoding takes a long time, since each range block finds the best domain in the image. In this Paper, we propose wavelet-based fractal image coding using SAS(Self Affine System) method and multi-scale factor. It consists of the range and domain blocks in DWT(discrete wavelet transform) region. Using SAS method, the proposed method is that the searching process of the domain block is not required, and the range block selects the domain which is relatively located the same position in the upper level. The proposed method can perform a fast encoding by reducing the computational complexity in the encoding process. In order to improve the disadvantage of SAS method which is reduced image qualify, the proposed method is improved image qualify using the different scale factors for each level. As a result, there is not influence on an image quality, the proposed method is enhanced the encoding time and compression ratio, and it is able to the progressive transmission.

• Korean Journal of Environment and Ecology
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• v.34 no.1
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• pp.55-62
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• 2020

To estimate headwater stream temperature with seasonal variations, we analyzed precipitation, runoff and air temperature in experimental forest of Kangwon National University, Gangwon-do (2017~2018 years). The daily mean value of headwater stream temperature for spring was 6.9~17.7℃ and correlated with air temperature, that for summer and fall were 12.2~26.3℃ and 3.6~19.3℃, correlated with air temperature and runoff. Based on seasonal variations, we applied for stepwise multiple linear regression analyses to estimate headwater stream temperature with seasonal variations. The equations were headwater stream temperature(WT)_spring=(0.553×Air temperature)+(0.086×Runoff)+4.145 (R²=0.505; p<0.01), WT_summer=(0.756×Air temperature)+(-0.072×Runoff)+2.670 (R²=0.510; p<0.01), and WT_fall=(0.738×Air temperature)+(0.028×Precipitation)+2.660 (R²=0.844; p<0.01). The coefficient of determination (R²) was greater than when it was estimated by air temperature in all seasons and progressively increased from spring to winter. Therefore, we indicated difference on estimated magnitude of stepwise multiple linear regression, due to effects on headwater stream temperature of different environmental factors with seasonal variations. Furthermore, temporal factors with spatial characteristics (e.g., river versus headwater stream) could be recommended for estimating headwater stream temperature.

• Korean Journal of Construction Engineering and Management
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• v.17 no.1
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• pp.3-9
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• 2016

This study proposes a approximate cost estimation system based on Excel with VBA using weighted CBR(Case Based Reasoning). One characteristic of this system is that it generates the sheet automatically as many as the number of similar case and new estimation when it performs a case learning and a new estimate and cell formula is automatically entered into each sheet. User can be free to compose a combination of attribute factors because they can select up to ten attribute factors. This paper presents an applicability of estimation model for estimating the soil remediation cost when it use a landfarming method. When compared to a estimation model by using average unit cost and optimum multiple regression, this model shows a better result. This study was aimed at landfarming method, but it is expected that a cost estimation model using CBR will be more likely to apply in soil remediation technologies which various remediation technologies and pollutant species exist.

• The Korean Journal of Applied Statistics
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• v.28 no.5
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• pp.859-870
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• 2015

Economic-traits of livestock are affected by environmental and genetic factors. We are interested in genetic factors that influence the economic-traits of Korean cattle. It is necessary to adjust environmental factors in order to enhance the accuracy of the genetic effect analysis. In this paper, we propose a statistical model of Korean cattle that exclude environmental breeding farm and age factors. We formulated an adjusted economic-trait value, and applied multifactor dimensionality reduction (MDR) method to data of before-and-after adjustment to identify major FABP4 genes. We were able to increase the accuracy of the analysis after adjustment and identify superior FABP4 genes that influence grade and fatty acid.

• Journal of Korea Water Resources Association
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• v.42 no.6
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• pp.465-480
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• 2009

In this study, single and multiple linear regression model were used to derive the relationship between precipitation and altitude, latitude and longitude in Jejudo. The single linear regression analysis was focused on whether orographic effect was existed in Jejudo by annual average precipitation, and the multiple linear regression analysis on whether orographic effect was applied to each duration and return period of quantile from regional frequency analysis by index flood method. As results of the regression analysis, it shows the relationship between altitude and precipitation strongly form a linear relationship as the length of duration and return period increase. The multiple linear regression precipitation estimates(which used altitude, latitude, and longitude information) were found to be more reasonable than estimates obtained using altitude only or altitude-latitude and altitude-longitude. Especially, as results of spatial distribution analysis by kriging method using GIS, it also provides realistic estimates for precipitation that the precipitation was occurred the southeast region as real climate of Jejudo. However, the accuracy of regression model was decrease which derived a short duration of precipitation or estimated high region precipitation even had long duration. Consequently the other factor caused orographic effect would be needed to estimate precipitation to improve accuracy.

• Journal of Korean Society of Forest Science
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• v.76 no.3
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• pp.200-205
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• 1987

This study was carried out to examine the proper site for Pinus rigida ${\times}$ P. taeda. The 91 sample plots ($20{\times}10m$) were selected from the plantations located in middle part of Korea. Soil, environmental and climatic factors were investigated and regressed on the growth of Pinus rigida ${\times}$ taeda. (1) The factors which influenced strongly on the growth were temperature, elevation, soil moisture, physiographic position, slope, soil depth, wind protection, soil compactness and soil organic matter contents in order. (2) The most effective factors among them were temperature, elevation, soil moisture and physiographic position. (3) General conditions of proper site for planting the hybrid pine were above $-8^{\circ}C$ in mean minimum temperature in January, below 200m in elevation, moderate soil moisture, and valley or flat area in physiographic position.

• Applied Chemistry for Engineering
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• v.28 no.3
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• pp.306-312
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• 2017

Changes in the cell growth and lipid accumulation of marine microalga Dunaliella tertiolecta were investigated in response to the combination of different stress factors including the variation of iron supply as a primary stress factor and different options in light irradiation and $CO_2$ supply as a secondary stress factor. High or limited Fe conditions could act as a stress for lipid synthesis. As a secondary stress factor, non-$CO_2$ condition was good for lipid accumulation, but the overall cell growth was sacrificed significantly after a long-time cultivation. Dark condition as a secondary stress factor also favored lipid accumulation and the extent of cell density reduction at the early period in the dark was small compared to other stress conditions. The two-stage cultivation strategy was necessary to maximize lipid production because tendencies of the cell growth and lipid content were not identical under the chosen stress condition. The first stage was for preparing a high cell density under the normal growth-favoring condition and the second stage was the stress condition to induce lipid accumulation in a short time. The short-term (12 h) incubation under the 5X Fe (3.25 mg/L) and dark conditions resulted in the best lipid productivity of 1.44 g/L/d providing 2 g/L inoculum at the second stage.