• 전기학회논문지
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• 제58권9호
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• pp.1700-1705
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• 2009

In general, short term load forecasting is based on the periodical load pattern during a day or a week. Therefore, the conventional methods do not expose stable performance to every day during a year. Especially for anomalous weather conditions such as typhoons, the methods have a tendency to show the conspicuous accuracy deterioration. Furthermore, the tendency raises the reliability and stability problems of the conventional load forecast. In this study, a new load forecasting method is proposed in order to increase the accuracy of the forecast result in case of anomalous weather conditions such as typhoons. For irregular weather conditions, the sensitivity between temperature and daily load is used to improve the accuracy of the load forecast. The proposed method was tested with the actual load profiles during 14 years, which shows that the suggested scheme considerably improves the accuracy of the load forecast results.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1999년도 하계학술대회 논문집 B
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• pp.646-648
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• 1999

Kalman Filter model of demand for residental water and consumption pattern were tested for their ability to explain the hourly residental demand for water in metropolitan distribution system. The hourly residental demand for water is calculated from the daily residental demand and consumption pattern. The consumption pattern which has 24 time rates is characterized by data granulization in accordance with season kind, weather and holiday. The proposed approach is applied to water distribution system of metropolitan areas in Korea and its effectiveness is checked.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2009년도 학술발표회 초록집
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• pp.540-544
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• 2009

Hydrologic pattern under climate change has been paid attention to as one of the most important issues in hydrologic science group. Rainfall and runoff is a key element in the Earth's hydrological cycle, and associated with many different aspects such as water supply, flood prevention and river restoration. In this regard, a main objective of this study is to evaluate design flood using simulation techniques which can consider a full spectrum of uncertainty. Here we utilize a weather state based stochastic multivariate model as conditional probability model for simulating the rainfall field. A major premise of this study is that large scale climatic patterns are a major driver of such persistent year to year changes in rainfall probabilities. Uncertainty analysis in estimating design flood is inevitably needed to examine reliability for the estimated results. With regard to this point, this study applies a Bayesian Markov Chain Monte Carlo scheme to the NWS-PC rainfall-runoff model that has been widely used, and a case study is performed in Soyang Dam watershed in Korea. A comprehensive discussion on design flood under climate change is provided.

• 한국농림기상학회지
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• 제4권3호
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• pp.169-174
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• 2002

When the long - lasting stationary fronts were pushed northward by the Pacific Highs in late July, mostly clear skies with intermittent showers were a typical weather of August in Korea. However, torrential rains and flash floods are now a seasonal event of August in recent years. Some meteorologists suspect this unusual phenomenon might be connected with the global change and are concerned about the possibility of change in summer climatic pattern in Korea. August of year 2002 must be remembered to be one of the record breaking months with respect to the rainfall events. In this paper, we analyzed the weather and crop data nationwide for August in 2002, and suggest a few countermeasures necessary to overcome the wet and cool summer impacts on agricultural sector.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2008년도 추계학술대회 논문집
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• pp.88-92
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• 2008

For more and more citizen safety and national security due to an unusual weather change and massive disaster, the atmospheric is one of the most major factors. According the Weather Service data that the rainfall intensity has been on the rise due to heavy rainfall in korea, and then daily precipitation expects to decline relative it. The characteristic climate of the domestic has a heavy rainfall due to 65% of mountain area in country and a regional declination as like seasonal effect, yearly. etc. In this paper, it was analyzed a disaster pattern and restoration cost based on occurred heavy rainfall from 2002 to 2007.

• 한국환경과학회지
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• 제29권10호
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• pp.1003-1010
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• 2020

In this study, the necessity for a village unit Automatic Weather System (AWS) was suggested to obtain correct agricultural weather information by comparing the data of AWS of the weather station with the data of AWS installed in agricultural villages 7 km away. The comparison sites are Hyogyo-ri and Hongseong weather station. The seasonal and monthly averaged and cumulative values of data were calculated and compared. The annual time series and correlation was analyzed to determine the tendency of variation in AWS data. The average values of temperature, relative humidity and wind speed were not much different in comparison with each season. The difference in precipitation was ranged from 13.2 to 91.1 mm. The difference in monthly precipitation ranged from 1.2 to 75.4 mm. The correlation coefficient between temperature, humidity and wind speed was ranged from 0.81 to 0.99 and it of temperature was the highest. The correlation coefficient of precipitation was 0.63 and the lowest among the observed elements. Through this study, precipitation at the weather station and village unit area showed the low correlation and the difference for a quantitative comparison, while the elements excluding precipitation showed the high correlation and the similar annual variation pattern.

• 대한원격탐사학회지
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• 제31권2호
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• pp.193-203
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• 2015

본 연구에서는 전산 유체 역학(CFD) 모델을 이용하여 건물과 지형이 대도시 내의 산지에 위치한 기상관측소의 관측환경에 미치는 영향을 조사하였다. 대상 지역의 관측소주변 흐름 특성을 조사하기 위해, GIS 자료로부터 건물과 지형 자료를 구현하였다. 구현한 자료를 CFD 모델 입력 자료로 사용하였고 관측소를 중심으로 16방위의 유입류을 가정하여 수치실험을 실시하였다. 유입된 흐름과 관측 지점에서 모의된 흐름을 비교한 결과, 전반적으로 관측소 주변에 건물과 고지형이 존재할 경우, 모의된 풍향과 풍속이 유입류와 크게 차이가 나타났다. 건물과 지형의 풍하층에서 발생하는 2차 순환범위 내에 관측소가 포함될 경우, 더욱 큰 차이가 나타났다. 전산유체역학 모델은 주변 지형환경에 따른 관측지역의 상세흐름 변화를 평가 하는데 매우 유용한 도구임을 확인하였다.

• Animal cells and systems
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• 제6권4호
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• pp.293-299
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• 2002

We investigated seasonal variation of diurnal activity patterns in Jeiu ponies (Equus caballus). The data were collected from a semi-natural herd during daylight hours from March to September 1998. Over all months the mean proportion of time spent grazing was 83.7% ( $\pm$29.7 S.D.): that resting was 15.7$\pm$17%, grooming 0.7$\pm$1.2%, and moving 0.56$\pm$5.4%, Activity patterns varied with the seasons. The mean proportion of grazing mares peaked during late winter and early spring (March), when there was not enough food, and declined during other seasons (between May and September), when food was abundant. The mean proportion of mares that were resting and mutual grooming peaked in spring (April and May), at which time the weather was warm and food became abundant. During other seasons when grasses started to grow and the weather was mildly cool, these activities were less common. The mean proportion of mares that were moving peaked in June, although it was a small proportion of the total activity. For those mares without foals, resting periods were longer in older mares than in younger mares, but for the mares with foals this pattern was not evident. From these data, we hypothesize that the dominance hierarchy of the mares effects the diurnal activity pattern.

• 한국의류산업학회지
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• 제7권2호
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• pp.135-142
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• 2005

Through the formative analysis of the traditional jokakbo, we have composed surface composition that was made by a perfect square, triangle, a weather vane type, vertical type, cint$\tilde{a}$mani type, and a mixed rectangular. And we have composed that was made by vivid tone, pale tone, and so on, and finally analyzed image, preference rate of them. First, the cause of composition for the image of stimulant was composed by the cause of simplicity characteristics, interesting characteristics, rigid-flexibility characteristics, and modern characteristics. Secondly, the image of clothes was revealed as a simple image of perfect square, a feminine image of cint$\tilde{a}$mani type, a modern image of mixed rectangular in the case of large pattern. And in the case of small pattern, perfect square was revealed as a simple image, cint$\tilde{a}$mani type was revealed as a feminine image, triangle with achromatic colored weather vane type and pale tone was revealed as an interesting image, achromatic colored and pale toned a weather vane type, vivid toned vertical type was revealed as a modern image. Lastly, it revealed that the preference rate against clothes is related with the cause of simplicity characteristics, interesting characteristics, and rigid-flexibility characteristics in the case of large patterns, and especially in the case of large patterns and small patterns, the clothes of pale tone are more preferred. And achromatic colored mixed rectangular and chromatic colored cint$\tilde{a}$mani type are more preferred by the large patterns, and chromatic colored and pale toned weather vane type is more preferred by the small patterns.

• 한국농공학회논문집
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• 제59권5호
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• pp.31-40
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• 2017

The aim of this study is to estimate net irrigation requirements for red pepper during growing period using soil moisture model. The soil moisture model based on water balance approach simulates soil moisture contents of 4 soil layers in crop root zone considering soil moisture extraction pattern. The LAMP (Land-Atmosphere Modeling Package) high resolution meteorological data provided from National Center for AgroMeteorology (NCAM) was used to simulate soil moisture as the input weather data. Study area for the LAMP data and soil moisture simulation covers $36.92^{\circ}{\sim}37.40^{\circ}$ in latitude and $127.36^{\circ}{\sim}127.94^{\circ}$ in longitude. Soil moisture was monitored using FDR (Frequency Domain Reflectometry) sensors and the data were used to validate the simulation model from May 24 to October 20 in 2016. The results showed spatially detailed soil moisture pattern under different weather conditions and soil texture. Net irrigation requirements were also different by location reflecting the spatially distributed weather condition. The average of the requirements was 470.7 mm and averages about soil texture were 466.8 mm, 482.4 mm, 456.0 mm, 481.7 mm, and 465.6 mm for clay loam, sandy loam, silty clay loam, clay, and sand respectively. This study showed spatial differences of soil moisture and the irrigation requirements of red pepper about spatially uneven weather condition and soil texture. From the results, it was demonstrated that high resolution meteorological data could provide an opportunity of spatially different crop water requirement estimation during the irrigation management.