• Nuclear Engineering and Technology
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• 제26권1호
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• pp.100-107
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• 1994

가압경수로용 핵연료붕 내압을 계산하는 데 있어 현재의 결정론적 방법에 의한 과다한 보수성을 줄이기 위하여 통계적 계산 방법론을 개발하였다. 개발된 통계적 방법론은 반응표면 분석 방법과 Monte Carlo 계산 방법을 이용하였다. 반응표면 분석 방법을 이용하여 핵연료 제조관련 변수와 성능관련 변수를 고려하여 회귀식을 유도하였으며, 이 식의 검증은 F-test, $R^2$ 및 $C^{p}$-test 방법을 사용하여 수행하였다. 회귀식으로 부터 예측된 봉내압은 결정론적 방법을 사용하여 계산된 값과 잘 일치하였다. Monte Carlo 계산으로 구한 핵연료봉 내압의 분포는 거의 정상분포로 나타났다. 본 연구에서 개발된 통계적 방법론으로 구한 95/95 봉내압과 현재 사용되고 있는 결정론적 방법론의 봉내압과 비교한 결과 결정론적 방법론의 과다한 보수성을 크게 줄일 수 있었다.다.

• 한국환경과학회지
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• 제19권2호
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• pp.237-245
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• 2010

The relationship between air temperatures and the fraction of urban areas (FUA) and their linear regression equation were estimated using land-use data provided by the water management information system (WAMIS) and air temperatures by the Korea Meteorology Administration (KMA) in the Seoul metropolitan area (SMA) during 1975 through 2000. The future FUA in the SMA (from 2000 to 2030) was also predicted by the urban growth model (i.e., SLEUTH) in conjunction with several dataset (e.g., urban, roads, etc.) in the WAMIS. The estimated future FUA was then used as input data for the linear regression equation to estimate an annual mean minimum air temperature in the future (e.g., 2025 and 2030). The FUA in the SMA in 2000 simulated by the SLEUTH showed good agreement with the observations (a high accuracy (73%) between them). The urban growth in the SMA was predicted to increase by 16% of the total areas in 2025 and by 24% in 2030. From the linear regression equation, the annual mean minimum air temperature in the SMA increased about $0.02^{\circ}C$/yr and it was expected to increase up to $8.3^{\circ}C$ in 2025 and $8.7^{\circ}C$ in 2030.

• 한국소음진동공학회논문집
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• 제26권1호
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• pp.49-54
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• 2016

The wind power plants were installed in many places because of the low climate changing effects since 2000. Generally, the wind power plants located in the seaside and the mountainous area and the heights of the windmills are about 40 m~140 m above the ground level. So the noises emitted from the wind power plants propagate far away compared with other environment noise sources like trains and cars noise. Because of these reasons, the noise emitted from the wind power plant is easy to cause the additional social problems like as noise complaints. Under the situation, the ministry of environment has established the guideline to evaluate the environmental effects for the wind power plant. According to the guideline, the noise of the wind power plant has to meet 55 dB(A) at daytime and 45 dB(A) at night in the residential area, which is regulated in the noise and vibration management law. But, it is difficult to estimate the noise emitted from the wind power plant because of the absence of the prediction model of the wind power plant noise. Therefore, the noise prediction model for wind power plants using the regression analysis method is developed in this study. For the development of the model, the sound pressure levels of the wind power plants in Jeju island are measured and the correlations between the sound pressure levels are analyzed. Finally, the prediction equation of the wind power plant noise using by regression analysis method derived. The prediction equation for the wind power plant noise proposed in this study can be useful to evaluate the environmental effects in any wind power plant development district.

• 한국전문물리치료학회지
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• 제9권1호
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• pp.43-51
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• 2002

Physiological Cost Index (PCI) of walking has been widely used to predict oxygen consumption in healthy subjects or patients. The purpose of this study was to evaluate the predictability of physiological cost index of walking for the amount of exercise and cardiac function. Walking exercise was conducted in 67 healthy children (age 4-12) with a self-selected comfortable walking speed on the level surface. Walking speed was calculated, and heart rate was measured before and immediately after the walking. PCI was calculated for statistical analysis. The results were as follows; 1) The walking speed tends to increase and PCI of walking tends to decrease with age. There was significant difference in walking speed and PCI of walking among three age groups (p<.05). The change of walking heart rate tends to decrease with age, however, there was no significant difference among three age groups. 2) Linear regression equation between walking speed and age was 'Y (walking speed) = 2.124X (age) + 48.286' ($R^2$=.337), (p=.00). 3) The walking heart rate tends to decrease with age. Linear regression equation between walking heart rate and age was 'Y (walking heart rate) = 143.346 - 2.63X (age)' ($R^2$=.3425), (p=.00). 4) The walking heart rate decreased as body surface area (BSA) increased. Linear regression equation between walking heart rate and BSA was 'Y (walking heart rate) = 149.830 - 27.115X (BSA)' ($R^2$=.3066), (p=.00). In conclusion, these equations and PCI could be useful to quantify the variation of energy expenditure of children with pathological gait when compared with age-matched healthy children.

• 대한토목학회논문집
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• 제38권2호
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• pp.237-247
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• 2018

유역 특성은 유역과 하도망의 지형학적인 구성에 대한 특성을 반영하는 것으로 유출 특성에 영향을 준다. 본 연구에서는 유역의 형태학적 특성과 유출의 관계를 분석하기 위해 한강 유역의 19개 하천의 27개 지점을 대상으로 유역 형태학적 특성을 Arc-map을 이용하여 구하였다. 하천 형태학적 특성은 선형, 면적, 기복 측면으로 구분하여 산정하였고, 강우에 의한 유역의 반응인 연평균 유출률은 실측 강수량과 유출량 자료를 이용하여 산정하였다. 각각의 형태학적 매개변수에 대한 상관을 도식화하고, 상관특성을 분석하였다. 길이비, 형상계수, 형상인자, 면적비, 기복비, 함몰도에 의한 연간 유출률에 대한 다중 회귀분석식을 제시하였고, 결정계수는 0.691로 나타났다. 실측과 회귀분석식에 의해 계산된 연간 유출률과의 RMSE와 MAPE는 각각 0.09, 11.61%로 나타나 비교적 정확히 예측하였다.

• 한국소음진동공학회논문집
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• 제19권3호
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• pp.313-319
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• 2009

The blasting has a lot of economic efficiency and speediness but it can damage to a neighbor structure, a domestic animal and a cultured fish due to the blasting vibration, then the public grievance is increased. Therefore, we need to manage the blasting vibration efficiently. The prediction of the correct vibration velocity is not easy because there are lots of different kinds of the scale of blasting vibration and it has a number of a variable effect. So we figure the optimum line through the least-squares regression by using the vibration data measured in hard rock blasting and compared with the design vibration prediction equation. As a result, we confirm that the vibration estimated in this paper is bigger than the design vibration prediction equation in the same charge and distance. If there is a Gaussian normal distribution data on the left-right side of the least squares regression, then we can estimate the vibration prediction equation on reliability 50%(${\beta}=0$), 90%(${\beta}=1.28$), 95%(${\beta}=1.64$). 99.9%(${\beta}=3.09$). As a result, it appears to be suitable that the reliability is 99% at the transverse component, the reliability 95% is at the vertical component, the reliability 90% is at the longitudinal component and the reliability is 95% at the peak vector sum component.

• 유통과학연구
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• 제17권3호
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• pp.97-105
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• 2019

Purpose - The purpose of this study is to investigate the effect of the government support project on traditional market and the interaction effect between the government support project and the competition intensity. Therefore, this study focuses on the competition intensity of individual stores in traditional markets, unlike the traditional research flow, which is beyond the competitive structure of traditional markets and large retailers. Research design, data, and methodology - This study is based on the data of 'Statistics of Traditional Market in 2017'. In this study, a multiple regression equation was constructed using the number of government support projects as an independent variable, competition intensity as an interaction, and sales per store, number of customers per store as a dependent variable for analysis. A multiple regression equation was constructed for the main effect analysis. To investigate the effect of the interaction, cohen(1980)'s regression equation and two-way ANOVA were used. Results - First, according to this study, the traditional market participated in the government support project showed that the sales and the number of visitors per store in the traditional market were higher than those in the non-participation market. Second, the impact of government support projects on sales per store(also number of visiting customers per store) can be different depending on the competition intensity. More specifically, if the market is politically supported by a market with a high level of competition, it may be more effective than the market with no support. Conclusions - Based on the results of the study, we suggested academic and practical implications and suggested that competition intensity of stores in the traditional market should be considered in the future. The implications of this study are as follows. First, the effects of the government's traditional market support project were analyzed empirically. Second, this study is different from the previous studies in that it examined the competitive strengths and the effects of individual stores in traditional markets, away from competition between traditional market and large retailers. Third, it provided practical implications for the operation of government support projects.

• 한국식품영양과학회지
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• 제20권6호
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• pp.572-581
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• 1991

무우의 염절임시 무우내로의 소금의 침투량을 예측할 수 있는 모델을 수립하고자 각각 5%, 10%, 15% 소금용액의 농도, 10, 20, $30^{\circ}C$ 온도에서 시간당 무우내 소금의 침투량과 수분의 변화를 측정하였다. 시간에 따른 무우내 소금의 침투량은 ln 함수를 따랐고 소금용액의 농도와 온도에 따른 무우내 소금의 침투량은 linear 한 관계를 나타내었다. 각각의 시간, 소금용액의 농도, 온도에 따른 무우내 소금의 침투량 예측 모델은 SPSS 통계 package중의 regression program을 이용하여 model식을 수립하였다. 무우내로의 소금의 확산도는 Fick 제2법칙의 적절한 확산식에서 computer simulation을 통해서 확산도를 계산하였다. 무우내로의 소금의 확산도는 소금용액의 농도가 즈가함에 따라 커지고 예측할 수 있는 model식은 회귀분석을 통해 수립하였다. 무우내로의 소금의 침투량과 무우밖으로의 탈수량과의 관계를 규명하기 위해 Flux ratio(${\Delta}W/{\Delta}S$)을 구해 본 결과 1보다 조금 큰 값을 나타내어 탈수량이 소금의 침투량보다 다소 많음을 알 수 있었다.

• 디지털융복합연구
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• 제15권2호
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• pp.89-98
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• 2017

본 연구는 인과관계 분석에서 주로 활용되는 SPSS statistics(회귀분석)과 구조방정식모델을 구현하는 프로그램 중 하나인 AMOS 프로그램을 각각 활용하여 동일한 데이터에 대하여 조절효과 검정을 위한 실증분석을 실시하였다. 실증분석 결과, SPSS statistics을 활용한 회귀분석에서 상황변수가 범주형데이터인 성별과 연속형데이터인 컨설팅만족도 모두에서 조절효과가 없는 것으로 나타난 반면, AMOS 프로그램을 활용한 구조방정식모델에서는 10% 유의수준에서 컨설턴트의 능력 및 태도가 컨설팅재구매에 미치는 영향관계를 컨설팅만족도가 부분적으로 조절하고 있는 것으로 나타났다. 결국, 조절효과 분석은 AMOS 프로그램을 활용한 구조방정식모델과 SPSS statistics을 활용한 회귀분석모델이 전혀 다른 접근방법을 사용하고 있어 얼마든지 상이한 결과가 나올 수 있음을 보여준다.

• 한국구조물진단유지관리공학회 논문집
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• 제27권6호
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• pp.144-151
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• 2023

이 연구에서는 동결융해 작용을 받는 다양한 콘크리트 배합에 대한 실험결과를 수집하여 데이터베이스를 구축하였다. 이를 바탕으로 동결융해 작용을 받는 콘크리트의 인공지능 기반 내구성능 평가모델을 개발하였으며, 회귀분석을 통해 상대동탄성계수 추정식을 도출하였다. 제안된 인공신경망 모델의 오류율과 결정계수는 각각 약 10.4%와 0.7이었으며, 회귀분석 추정식도 유사한 결과를 나타내었다. 따라서, 제안된 인공신경망 모델 및 회귀분석 추정식은 다양한 배합의 동결융해 작용을 받는 콘크리트에 대한 상대동탄성계수를 추정하는 데에 활용될 수 있을 것으로 판단된다.