• Korean Journal of Agricultural and Forest Meteorology
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• v.2 no.4
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• pp.175-182
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• 2000

Spatial interpolation of daily temperature forecasts and observations issued by public weather services is frequently required to make them applicable to agricultural activities and modeling tasks. In contrast to the long term averages like monthly normals, terrain effects are not considered in most spatial interpolations for short term temperatures. This may cause erroneous results in mountainous regions where the observation network hardly covers full features of the complicated terrain. We developed a spatial interpolation model for daily minimum temperature which combines inverse distance squared weighting and elevation difference correction. This model uses a time dependent function for 'mountain slope lapse rate', which can be derived from regression analyses of the station observations with respect to the geographical and topographical features of the surroundings including the station elevation. We applied this model to interpolation of daily minimum temperature over the mountainous Korean Peninsula using 63 standard weather station data. For the first step, a primitive temperature surface was interpolated by inverse distance squared weighting of the 63 point data. Next, a virtual elevation surface was reconstructed by spatially interpolating the 63 station elevation data and subtracted from the elevation surface of a digital elevation model with 1 km grid spacing to obtain the elevation difference at each grid cell. Final estimates of daily minimum temperature at all the grid cells were obtained by applying the calculated daily lapse rate to the elevation difference and adjusting the inverse distance weighted estimates. Independent, measured data sets from 267 automated weather station locations were used to calculate the estimation errors on 12 dates, randomly selected one for each month in 1999. Analysis of 3 terms of estimation errors (mean error, mean absolute error, and root mean squared error) indicates a substantial improvement over the inverse distance squared weighting.

• Korean Journal of Agricultural and Forest Meteorology
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• v.14 no.4
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• pp.155-160
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• 2012

This study was conducted to develop a practical method for estimating the extremes of minimum air temperature with given return-period based on the frequency distribution of daily minimum air temperature in January. Daily temperature data were collected from 61 meteorological observatories country-wide from 1961 to 2010. Most of daily minimum temperature in January could be represented by a normal-distribution, so it is possible to predict stochastically the lowest temperature by the mean and standard deviation. We developed a quadratic function to estimate standard deviation in terms of daily minimum temperature in January. Also, we introduced a coefficient which can be used to predict an extreme of minimum temperature with mean and standard deviation, and is dependent on return-periods. Using this method, we were able to reproduce the past 30-year extremes with an error of 1.1 on average and 5.3 in the worst case.

• Journal of Families and Better Life
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• v.13 no.2
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• pp.103-111
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• 1995

이 연구에서는 서울시내 국민학교 3, 4학년이 190명의 아동을 대상으로 부모의 온정 및 의사소통과 또래 환경에 대한 지각이 아동의 공평성 추론에 미치는 영향을 조사하였다. 질문지를 사용하였고 분석을 위하여 백분율 평균, 표준편차, 빈도분포, 최저값, 최소값, 일원 변량분석과 $Scheff\'{e}검증$, Cronbach의 a값을 사용하였다. 연구결과를 요약하면 다음과 같다. 즉 아동이 지각한 부모의 온정 및 의사소통과 또래 환경에 대한 지각이 아동의 공평성 추론에 별 다른 영향을 주지 않았다. 반면에 아동이 지각한 또래 환경 중 또래의 지지와 교환적 협동은 아동의 공평성 추론에 유의한 영향을 미치고 있다.

• Journal of Music and Human Behavior
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• v.10 no.2
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• pp.79-97
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• 2013

The purpose of this study was to obtain the normative data of finger strength using the keyboard and the MIDI(Musical Instrument Digital Interface) software. A total of 92 college students (46 male and 46 female) were recruited from universities located in Seoul and Chungcheong province and an average age was 21.7(SD = 1.8). After the completion of demographic information, each participant asked to press the five keys both in ascending and descending manners with the maximum strength of individual finger. The velocity was obtained as an indicator for finger pressing force by using the MIDI software. Results showed that the individual finger velocity ranged between 77 to 97 (Maximum possible velocity = 127). Regarding male's velocity data, the maximum velocity was found in index finger of dominant hand(96.9), while the minimum strength was found in ring finger of nondominant hand(78.5). Female data appeared to be similar to male's one in terms of maximum strength in dominant index finger(92) and minimum strength in nondominant ring finger(77.5). It also found that the statistically significant differences(p < .05) on finger strength of all fingers between dominant and non-dominant hands except the thumbs(p < .05). The current findings serves as a "normative standard" that proves the validity and effectiveness of hand rehabilitation training program using the electronic keyboard connected with the MIDI software to enhance functional changes in hands.

• Korean Journal of Agricultural and Forest Meteorology
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• v.4 no.4
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• pp.203-212
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• 2002

This study was conducted to remove the urban heat island effects embedded in the interpolated surfaces of daily minimum temperature in the Korean Peninsula. Fifty six standard weather stations are usually used to generate the gridded temperature surface in South Korea. Since most of the weather stations are located in heavily populated and urbanized areas, the observed minimum temperature data are contaminated with the so-called urban heat island effect. Without an appropriate correction, temperature estimates over rural area or forests might deviate significantly from the actual values. We simulated the spatial pattern of population distribution within any single population reporting district (city or country) by allocating the reported population to the "urban" pixels of a land cover map with a 30 by 30 m spacing. By using this "digital population model" (DPM), we can simulate the horizontal diffusion of urban effect, which is not possible with the spatially discontinuous nature of the population statistics fer each city or county. The temperature estimation error from the existing interpolation scheme, which considers both the distance and the altitude effects, was regressed to the DPMs smoothed at 5 different scales, i.e., the radial extent of 0.5, 1.5, 2.5, 3.5 and 5.0 km. Optimum regression models were used in conjunction with the distance-altitude interpolation to predict monthly normals of daily minimum temperature in South Korea far 1971-2000 period. Cross validation showed around 50% reduction in terms of RMSE and MAE over all months compared with those by the conventional method.conventional method.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2003.06a
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• pp.1249-1252
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• 2003

To analyse the cyclic variations in a test engine, the burn parameters are determined on a cycle-to-cycle basis through the analysis of the engine pressure data. Combustion analysis based on cylinder-pressure provides a mechanism through which a combustion researcher can understand the combustion process. The objective of this paper is to identify the most significant sources of cycle-to-cycle combustion variability in a spark ignition engine at idle. The burn rate analysis program was used and the burn parameters were used to determine the variations in the input parameter. In this study, the author investigated the relationship of indicated mean effective pressure, coefficient of variation of indicated mean effective pressure and burn angles, and lowest normalized value in a spark ignition engine for the cyclic variations.

• 한국연소학회:학술대회논문집
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• 2015.12a
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• pp.131-134
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• 2015

국내 천연가스 열량제도를 현행 표준 열량제 $10,400kcal/Nm^3(43.54MJ/Nm^3)$에서 중간 조정기간을 두고 2012.07.01부터는 최저 $10,100kcal/Nm^3(42.28MJ/Nm^3)$을 유지하고 2015년 이후 $9,800(41.1MJ/Nm^3){\sim}10,600kcal/Nm^3(44.4MJ/Nm^3)$ 열량범위제도로 변경 추진되고 있다. 산업현장에서 열량변동을 측정하여 공연비 제어기술을 개발하고자 60ton Al 용해로에 열량대응기술 개발을 위한 내용으로 열량측정시스템설치 및 열량 값과 연계하여 공연비 제어기술개발연구 내용으로 결과는 다음과 같다. 단순히 표준열량으로 에 맞춰 프로그램된 제어로직에 열량변동에서 검출된 신호를 이용하여 연료보정 값을 추가한 로직을 재구성할 필요가 있다. 이 혀장의 경우는 용탕의 온도가 목표온도 근처까지 올리기가 어려워진 상황으로 주로 공급열량 저열량화에 따른 과잉공기영향으로 온도상승이 어려워 보이며 적절한 공연비로 최적화 되면 이러한 문제가 개선되리라 생각된다.

• Proceedings of the Korean Information Science Society Conference
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• 2010.06c
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• pp.221-225
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• 2010

본 연구에서는 제한된 온도 영역에서 보통 정밀 온도 측정 소자로 많이 쓰이는 NTC 써미스터를 사용하여 전압 분배 회로(voltage divider circuits)를 구성하였다. 분압 저항이 온도측정 해상도에 미치는 영향을 분석하고, 회로의 분압 저항을 결정하는 방법으로서 측정하고자 하는 온도 구간의 최대 온도와 최저 온도의 NTC 써미스터 저항 값을 조화평균을 사용하여 분압 저항(divider resistance)으로 사용하였다. 선택한 분압 저항이 이상적인 저항인지에 대하여 조화평균으로 계산한 분압 저항과 대조군 저항으로 전압 분배 회로를 병렬로 구성하였다. 센서들을 항온조 넣어 설정온도($50^{\circ}C$, $70^{\circ}C$, $90^{\circ}C$)에서 각각의 온도를 측정한 후 측정 데이터의 표준편차를 구하여 평균 온도 분해능을 비교 하는 실험을 하였다. 실험결과 측정온도 구간의 최대 온도와 최소 온도에서의 NTC 써미스터 저항 값을 조화평균으로 계산한 분압 저항 값이 대조군 저항에 비해 설정온도에서 보다 높은 평균 온도 분해능(sensing resolution)을 보였다.

• Proceedings of the KAIS Fall Conference
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• 2011.05b
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• pp.753-756
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• 2011

지속적인 충/방전에 의하여 표준 수명 보다 더 빠른 노화 현상을 일으키는 배터리의 효율적인 관리를 위하여, 배터리의 내부 상태를 모니터링 하였다. 정확한 배터리 모니터링을 위해서 해당하는 배터리의 잔존 용량 및 잔존 수명을 정확히 예측할 수 있어야 하며, 이를 위해 Open Voltage를 사용한 실험, 에너지 보존 법칙에 의한 충전 전류 측정법, 시동 시 최대 전류와 내부 저항의 변화량을 알아내는 실험을 하였다. Open Voltage 실험 결과, SOC수치에 따른 특정 전압의 범위를 알 수 있었고, 이 전압은 온도에 의해 변동된다는 것을 확인할 수 있었다. 충전 그래프를 그려본 결과 충전횟수와 완충에 걸리는 시간은 반비례하며, 배터리 내부에 충전되는 총 전류의 양과도 관계가 있었다. 시동 실험에서는 최저 전압 드롭 값과 최대 공급 전류의 범위를 알 수 있었으며, 특정 SOC 구간 내 내부 저항의 값을 차이를 알 수 있었다. 이 값들은 각 SOC의 수치에 비례한 결과를 보였다. 이 결과들을 정리하여, 배터리 내부 상태를 예측하는 방법을 제안하고자 한다.

• Korean Journal of Agricultural and Forest Meteorology
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• v.3 no.2
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• pp.96-104
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• 2001

Usage of ecosystem models has been extended to landscape scales for understanding the effects of environmental factors on natural and agro-ecosystems and for serving as their management decision tools. Accurate prediction of spatial variation in daily temperature is required for most ecosystem models to be applied to landscape scales. There are relatively few empirical evaluations of landscape-scale temperature prediction techniques in mountainous terrain such as Korean Peninsula. We derived a periodic function of seasonal lapse rate fluctuation from analysis of elevation effects on daily temperatures. Observed daily maximum and minimum temperature data at 63 standard stations in 1999 were regressed to the latitude, longitude, distance from the nearest coastline and altitude of the stations, and the optimum models with $r^2$ of 0.65 and above were selected. Partial regression coefficients for the altitude variable were plotted against day of year, and a numerical formula was determined for simulating the seasonal trend of daily lapse rate, i.e., partial regression coefficients. The formula in conjunction with an inverse distance weighted interpolation scheme was applied to predict daily temperatures at 267 sites, where observation data are available, on randomly selected dates for winter, spring and summer in 2000. The estimation errors were smaller and more consistent than the inverse distance weighting plus mean annual lapse rate scheme. We conclude that this method is simple and accurate enough to be used as an operational temperature interpolation scheme at landscape scale in Korea and should be applicable to elsewhere.