• 한국태양에너지학회:학술대회논문집
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• 한국태양에너지학회 2011년도 추계학술발표대회 논문집
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• pp.232-235
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• 2011

Radiation data are the best source of information for estimating average incident radiation. Lacking this or data from nearby locations of similar climate, it is possible to use empirical relationships to estimate radiation from days of cloudiness. It is necessary to estimate the regression coefficients in order to predict the daily global radiation on a horizontal surface. There fore many different equations have proposed to evaluate them for certain areas. In this work a new correlation has been made to predict the solar radiation for 16 different areas over Korea by estimating the regression coefficients taking into account cloud cover. Particularly, the straight line regression model proposed shows reliable results for estimating the global radiation on a horizontal surface with monthly average deviation of-0.26 to +0.53% and each station annual average deviation of -1.61 to +1.7% from measured values.

• 한국태양에너지학회 논문집
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• 제31권4호
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• pp.72-79
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• 2011

Solar radiation data are the best source of information for estimating average incident radiation. Lacking this or data from nearby locations of similar climate, it is possible to use empirical relationships to estimate radiation from days of hours of bright sunshine. It is necessary to estimate the regression coefficients in order to predict the daily global radiation on a horizontal surface. Therefore many different equations have proposed to evaluate them for certain areas. In this work a new correlation has been made to predict the solar radiation for 16 different areas over Korea by estimating the regression coefficients taking into account hours of bright sunshine. Particularly, the proposed straight line regression model shows reliable results for estimating the global radiation on a horizontal surface with monthly average deviation of -0.2 to +0.5% and each station annual average deviation of -1.6 to +1.7% from measured values.

• 조명전기설비학회논문지
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• 제19권8호
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• pp.77-84
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• 2005

수명예측을 하기 위한 기초 자료로 ACSR의 기계적 시험의 일종인 인장시험이 필요하다. 이 인장시험의 결과들이 경년 변화에 대해 어떤 상관관계가 있는가를 파악하여 통계적으로 처리함으로써 수명예측을 해 볼 수 있다. 통계적 처리기법으로는 회귀분석 방법이 일반적이다. 본 연구에서는 ACSR의 인장시험을 건전 전선과 인공화염으로 열화시킨 전선과, 산불 화염 의해 수거된 열화된 전선에 대해 실시하였다. 수명예측의 한계는 캐나다 Ontario Hydro Research의 기준인 정격 인장강도의 20[%] 손실점을 택하였다. 본 연구에 이용된 ACSR의 규격은 ACSR $480[mm^2]$을 대상으로 하여 비선형 회귀분석을 실시하여 예측수명을 제시하였다.

• Journal of Welding and Joining
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• 제17권3호
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• pp.26-35
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• 1999

On the laser weld production line, a slight alteration of the welding condition changes the bead size and the strength of the weldment. The measurement system is produced by using three photo-diodes for detection of the plasma and spatter signal in $CO_2$ laser welding. The relationship between the sensor signals of plasma or spatter and the bead shape, and the mechanism of the plasma and spatter were analyzed for the bead size estimation. The penetration depth and the bead width were estimated using the multiple regression analysis.

• 대한토목학회논문집
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• 제31권5B호
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• pp.393-403
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• 2011

본 연구에서는 현재까지 경험적인 방법으로 적용되어 왔던 G/R 비를 선형 회귀선, 원점을 통과하는 선형 회귀선 및 원점과 관측자료의 무게중심을 지나는 추세선 등으로 구분하여 이론적으로 검토하였다. 이러한 검토에는 독립변수로 어떤 강우자료를 선택하느냐에 따른 문제와, 무강우 자료의 고려여부에 따른 영향 검토가 포함되었다. 이렇게 검토된 내용은 2003년에 발생한 태풍 매미 사상에 적용하여 평가하였다. 마지막으로 본 연구에서 유도된 회귀선 및 추세선을 이용한 레이더 강우의 보정결과와 관측된 우량계 강우 사이의 RMSE를 비교함으로서 최적의 G/R 비를 선정하였다. 그 결과는 다음과 같다. 먼저, 독립변수로 레이더 강우를 사용하는 것 보다는 우량계 강우를 사용하는 경우에 레이더 강우의 보정결과가 우수한 것으로 나타났다. 둘째, 무강우 자료의 영향은 레이더 및 우량계 자료의 구조에 따라 다르게 나타나는 것으로 확인되었다. 마지막으로 유도된 선형 회귀선 및 추세선의 평가 결과, 홍수 유출해석을 주목적으로 한 경우에는 독립변수에 우량계 자료를 적용하여 유도된 원점을 통과하는 선형 회귀선의 기울기를 G/R 비로 사용하는 것이 무난할 것으로 나타났다. 이 경우 무강우 자료의 영향은 상대적으로 미미한 것으로 나타났다.

• Nuclear Engineering and Technology
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• 제42권2호
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• pp.219-230
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• 2010

In nuclear power plants (NPPs), periodic sensor calibrations are required to assure that sensors are operating correctly. By checking the sensor's operating status at every fuel outage, faulty sensors may remain undetected for periods of up to 24 months. Moreover, typically, only a few faulty sensors are found to be calibrated. For the safe operation of NPP and the reduction of unnecessary calibration, on-line instrument calibration monitoring is needed. In this study, principal component-based auto-associative support vector regression (PCSVR) using response surface methodology (RSM) is proposed for the sensor signal validation of NPPs. This paper describes the design of a PCSVR-based sensor validation system for a power generation system. RSM is employed to determine the optimal values of SVR hyperparameters and is compared to the genetic algorithm (GA). The proposed PCSVR model is confirmed with the actual plant data of Kori Nuclear Power Plant Unit 3 and is compared with the Auto-Associative support vector regression (AASVR) and the auto-associative neural network (AANN) model. The auto-sensitivity of AASVR is improved by around six times by using a PCA, resulting in good detection of sensor drift. Compared to AANN, accuracy and cross-sensitivity are better while the auto-sensitivity is almost the same. Meanwhile, the proposed RSM for the optimization of the PCSVR algorithm performs even better in terms of accuracy, auto-sensitivity, and averaged maximum error, except in averaged RMS error, and this method is much more time efficient compared to the conventional GA method.

• 조명전기설비학회논문지
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• 제13권4호
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• pp.120-126
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• 1999

수명예측을 하기 위한 기초자료로 ACSR의 기계적 시험의 일종인 인장시험이 필요하다. 이 인장시험의 결과들이 경년 변화에 대해 어떤 상관관계가 있는가를 파악하여 통계적으로 처리함으로써 수명예측을 해 볼 수 있다. 통계적 처리기법으로는 회귀분석 방법이 일반적이다. 본 연구에서는 ACSR의 인장시험을 건전 전선과 수거된 경년 변화를 갖는 전선에 대해 실시하였다. 수명예측의 한계는 캐나다 Ontario Hydro Research의 기준인 정격 인장강도의 20[%] 손실점을 택하였다. 본 연구에 이용된 ACSR의 규격은 $95[\textrm{mm}^2]$, $97[\textrm{mm}^2]$, $120[\textrm{mm}^2]$, $240[\textrm{mm}^2]$ 를 대상으로 하여 선형회귀분석과 비선형 회귀분석을 실시하여 예측수명을 제시하였다. 분석프로그램으로는 SPSS와 Matlab의 Statistics Toolbox를 이용하였다.

• 한국의류학회지
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• 제21권6호
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• pp.1031-1040
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• 1997

This study was done to analyze the body surface developments of armhole area. The major conclusions of this study are: 1. The body surface developments showed the characteristics of expansion and contraction of body at armhole area. By arm movements, front armhole lines on the body surface developments of upper arm were slow going, but back armhole lines were full and round. As a whole, armhole line of the back torso was swollen outside especially at backarmpit point area, it seemed like a line of raglan sleeve. 2. Regression Analysis was carried out to adapt armhole line on the upper arm and upper body to bodice and sleeve pattern, following the axillary circumference line and chest breadth line changed to the basic pattern form. As the result, armhole lines of 90$^{\circ}$ and 135-180$^{\circ}$ movements deviated from those of standard posture. U-type, clear armhole curve of standard posture turned to V-type, slanting line by arm movements.

• Journal of Periodontal and Implant Science
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• 제45권6호
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• pp.216-222
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• 2015

Purpose: After extraction, the alveolar bone tends to undergo atrophy in three-dimensions. The amount of alveolar bone loss in the horizontal dimension has been reported to be greater than the amount of bone loss in the vertical dimension, and is most pronounced in the buccal aspect. The aim of this study was to monitor the predictive alveolar bone level following the extraction of anterior teeth seriously involved with advanced chronic periodontitis. Methods: This study included 25 patients with advanced chronic periodontitis, whose maxillary anterior teeth had been extracted due to extensive attachment loss more than one year before the study. Periapical radiographs were analyzed to assess the vertical level of alveolar bone surrounding the edentulous area. An imaginary line connecting the mesial and the distal ends of the alveolar crest facing the adjacent tooth was arbitrarily created. Several representative coordinates were established in the horizontal direction, and the vertical distance from the imaginary line to the alveolar crest was measured at each coordinate for each patient using image analysis software. Regression functions predicting the vertical level of the alveolar bone in the maxillary anterior edentulous area were identified for each patient. Results: The regression functions demonstrated a tendency to converge to parabolic shapes. The predicted maximum distance between the imaginary line and the alveolar bone calculated using the regression function was $1.43{\pm}0.65mm$. No significant differences were found between the expected and actual maximum distances. Likewise, the predicted and actual maximum horizontal distances did not show any significant differences. The distance from the alveolar bone crest to the imaginary lines was not influenced by the mesio-distal spans of the edentulous area. Conclusions: After extraction, the vertical level of the alveolar ridge increased to become closer to the reference line connecting the mesial and distal alveolar crests.

• 한국의류학회지
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• 제31권2호
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• pp.269-279
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• 2007

The purposes of this study were to investigate factors affecting addictive shopping behavior and to compare the factors affecting between on-line and off-line addictive shopping. Four hundred eighty-nine female college students who have purchased fashion goods on-line shopping or off-line shopping were surveyed. For data analysis, descriptive statistics, Pearson's correlations, t-test, and multiple regression analysis were used. As the results, 15.5% of respondents were revealed as addictive buyers. Approximately 18% and 13% of subjects were revealed as on-line addictive buyers and off-line addictive buyers. There were statistically significant differences between addictive buyers and non-addictive buyers regarding self-mastery, depression, stress, and impulse. Addictive consumption scores were correlated to lower self-mastery, higher depression, and higher stress. Factors such as self-mastery, stress, impulse showed differences between on-line and off-line addictive buyers. Also, there were statistically significant differences between on-line and off-line addictive buyers. Based on these results, fashion social responsibility marketing strategies and implications regarding on-line and off-line shopping addiction would be suggested.