http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
김수옥 대한간호학회정신간호학회 2001 정신간호학회지 Vol.10 No.3
Agitated behavior, which is usually accompanied with sleep disturbance is common in demented elderly. These problems are related to circadian rhythm changes which occur in aging and pathologic process of dementia, decreased exposure to zeitgeber, and environmental factors. Bright light is known to be a strong zeitgeber of the human circadian rhythm and has been proven effective in improving circadian rhythm disorders. Consequently, bright light has emerged as a possible therapeutic alternative for the problems of sleep and behavioral disturbances. Several studies have been conducted to evaluate the effect of bright light on improvement of sleep disturbance and agitated behavior of demented elderly, but there hasn't been a consensus about the mechanism and the effective protocol. The purpose of this study was to examine the effect of light therapy on demented elderly with agitated behavior, accompanied by disturbed sleep pattern. The protocol was consisted of daily 2 hour's evening exposure to light for 2 weeks and 2,500 lux light was used. Statistical analysis was done by descriptive statistics and Wilcoxon signed - rank test of SPSS 8.0 for Windows program. The results were as follows; 1. Agitated behavior scores decreased significantly after treatment (P=0.032). 2. Percentages of sleep during night-time were not significantly changed (P=0.603). 3. Percentages of sleep during daytime were not significantly changed (P=0.809). It can be concluded from the results of this study, that light therapy is a potent and promising intervention for agitated behavior of demented elderly.
기온자료에 근거한 사과 ‘후지’ 품종의 발아기 및 개화기 예측
김수옥,윤진일 한국기상학회 2010 한국기상학회 학술대회 논문집 Vol.2010 No.4
본 연구에서는 후지사과의 발아와 만개시기를 예측하기 위해 휴면시계모형의 후지사과 맞춤 모수를 추정하였다. 이를 전자기후도에 적용하여 현재평년과 A1B 시나리오에 근거한 미래평년기후조건에서 남한 전역의 발아 · 만개일 분포도를 작성하였다.
일 최대풍속의 추정확률분포에 의한 농작물 강풍 피해 위험도 판정 방법
김수옥,Kim, Soo-ock 한국농림기상학회 2017 한국농림기상학회지 Vol.19 No.3
기상청 동네예보 풍속으로부터 농작물의 강풍피해를 예측하기 위해, 방재기상관측지점 19곳의 2012년 풍속자료를 이용하여 기상청 동네예보의 3시간 간격과 동일한 0000, 0300 ${\cdots}$ 2100 시간대의 풍속과 직전 3시간 동안의 최대풍속 간의 관계를 직선회귀식으로 표현하였다. 매 3시간 마다 추정된 최대풍속 중 가장 큰 값을 일 최대풍속으로 간주하고, 이 때의 추정오차를 정규분포와 Weibull 분포 확률밀도함수로 표현하였다. 또한 일 최대풍속과 작물 피해 임계풍속 간의 편차를 추정오차 기반 확률 분포에 적용하여 확률누적값으로 풍해 '주의보'와 '경보' 단계를 설정하였다. 19지점별 최대풍속 추정 회귀계수(a, b)와 추정오차의 표준편차 및 Weibull 분포의 모수(${\alpha}$, ${\beta}$)는 공간내삽하여 분포도로 작성하고 종관기상관측지점 4곳(순천, 남원, 임실, 장수)의 격자값을 추출하였다. 이를 이용해 2012년의 일 최대풍속을 추정하고, 배 만삼길 품종의 낙과 발생 사례에서 제시된 풍속 10m/s를 낙과 임계풍속으로 간주, 풍해 주의보와 경보를 판정하였다. 그 결과, 최대풍속 추정오차를 Weibull 분포로 표현하여 풍해 위험 정도를 판정하는 것이 정규분포만을 이용하는 것보다 더 현장에 정확한 주의보를 발령할 수 있었다. The crop damage caused by strong wind was predicted using the wind speed data available from Korean Meteorological Administration (KMA). Wind speed data measured at 19 automatic weather stations in 2012 were compared with wind data available from the KMA's digital forecast. Linear regression equations were derived using the maximum value of wind speed measurements for the three-hour period prior to a given hour and the digital forecasts at the three-hour interval. Estimates of daily maximum wind speed were obtained from the regression equation finding the greatest value among the maximum wind speed at the three-hour interval. The estimation error for the daily maximum wind speed was expressed using normal distribution and Weibull distribution probability density function. The daily maximum wind speed was compared with the critical wind speed that could cause crop damage to determine the level of stages for wind damage, e.g., "watch" or "warning." Spatial interpolation of the regression coefficient for the maximum wind speed, the standard deviation of the estimation error at the automated weather stations, the parameters of Weibull distribution was performed. These interpolated values at the four synoptic weather stations including Suncheon, Namwon, Imsil, and Jangsu were used to estimate the daily maximum wind speed in 2012. The wind damage risk was determined using the critical wind speed of 10m/s under the assumption that the fruit of a pear variety Mansamgil would begin to drop at 10 m/s. The results indicated that the Weibull distribution was more effective than the normal distribution for the estimation error probability distribution for assessing wind damage risk.