• 한국구조물진단유지관리공학회 논문집
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• 제13권4호통권56호
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• pp.159-169
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• 2009

본 연구는 다단계 온도프리스트레싱 공법으로 보강된 합성보의 하중재하 실험 및 구조해석을 통하여 온도프리스트레싱 공법의 프리스트레스 도입효과와 단면증가효과를 평가하였다. 연구결과 온도프리스트레싱을 이용한 합성보의 보강공법은 온도프리스트레싱에 의한 프리스트레스 도입 뿐 아니라 커버플레이트의 설치에 의한 단면증가로 합성보의 처짐 또한 감소시킬 수 있으므로 합성보의 효율적인 보강공법으로 적용이 가능할 것이다.

• Journal of the Korean Data and Information Science Society
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• 제19권3호
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• pp.789-800
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• 2008

Current credit evaluation models based on financial data make use of smoothing estimated default ratios which are transformed from each financial variable. In this work, some problems of the credit evaluation models developed by financial experts are discussed and we propose improved credit evaluation models based on the stepwise variable selection method and Box-Cox transformed data whose distribution is much skewed to the right. After comparing goodness-of-fit tests of these models, the validation of the credit evaluation models using statistical methods such as the stepwise variable selection method and Box-Cox transformation function is explained.

• JSTS:Journal of Semiconductor Technology and Science
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• 제1권3호
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• pp.167-181
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• 2001

A stepwise driving method was used for reducing the AC power consumption in a TFT-LCD. The AC power takes the largest portion of the total power consumption of a TFT-LCD. Experimental results confirmed that the AC power saving efficiency reached up to 75% when a 5-stepwise driving with each step time of $2\mu$ sec was applied to a 14.1 inch-diagonal XGA TFT-LCD. The second largest component of power consumption called the DC power comes from the quiescent currents in Op-amps. A simple and efficient architecture was proposed in this work to reduce this DC power consumption: Half of the Op-amps have the 5V-supplies, and the rest half have the 10V-supplies, and two Op-amps are shared by adjacent two channels. Measurements of test circuits showed that this simple method could reduce over 40% of the DC power consumption..

• Journal of the Korean Wood Science and Technology
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• 제27권4호
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• pp.51-56
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• 1999

Finite element method was utilized to analyze crack tip stress and displacement field under drying stress case as stepwise loading. Opening mode of single-edge-notched model was employed and analyzed by linear elastic fracture mechanics of plane stress case. The drying stresses were applied as stepwise loads at the boundary elements of the model with 10 steps of time serial. The stress intensity factor($K_I$) for opening mode reached to its maximum just prior to the stress reversal. The $K_I$ from the displacement fields revealed 1.7 times higher than those from stress fields. By comparing the two sets of $K_I$ from displacement and stress fields, single parameter $K_I$ showed its validity to characterize displacement fields around the crack tip front while stress field could not be characterized due to large variations between two sets of data.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제6권4호
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• pp.277-281
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• 2006

Cyber counseling, one of the most compatible type of consultation for the information society, enables people to reveal their mental agonies and private problems anonymously, since it does not require face-to-face interview between a counsellor and a client. However, there are few cyber counseling centers which provide high quality and trustworthy service, although the number of cyber counseling center has highly increased. Therefore, this paper is intended to enable an appropriate consultation for each client by analyzing client propensity using Bayesian variable selection. Bayesian variable selection is superior to stepwise regression analysis method in finding out a regression model. Stepwise regression analysis method, which has been generally used to analyze individual propensity in linear regression model, is not efficient since it is hard to select a proper model for its own defects. In this paper, based on the case database of current cyber counseling centers in the web, we will analyze clients' propensities using Bayesian variable selection to enable individually target counseling and to activate cyber counseling programs.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2006년도 춘계학술발표회 논문집(I)
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• pp.238-241
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• 2006

The needs for strengthening and rehabilitation of the concrete bridges are a growing concern in many countries and has been emphasized in various researches and papers. Traditional external post-tensioning method using either steel bars or tendons is commonly used as a strengthening method. However, the method has some disadvantages such as stress concentration at the anchorages. Multi-stepwise thermal prestressing method is a newly proposed method for strengthening and rehabilitation of concrete girder bridges. Founded on a simple concept of thermal expansion and contraction of steel, the method is a hybrid method of external post-tensioning and steel plate bonding, combining the merits of two methods. In this paper, basic concepts on strengthening and rehabilitation of concrete girder are presented and an illustrative experiment is introduced.

• 암석학회지
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• 제10권3호
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• pp.133-147
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• 2001

최근 기존 연대측정법의 한계를 극복하여 절대연령 측정 대상을 획기적으로 넓힐 수 있는 방법으로 개발되고 있는 단계적 용해에 의한 연대측정법을 국내 시료에 적용하여 이 방법에 의한 연대측정의 성공가능성에 대해 평가하여 보았다. 대상 시료는 옥천변성대 대전 남부지역 창리층의 함우라늄 흑색 점판암, 영남육괴 북동부의 선캠브리아 내덕리 화강암에서 분리한 전기석 및 옥방광산의 회중석 등을 선정하였다. 이들에 대한 단계적 용해를 위해 산의 종류와 시간을 달리하여 점차 그 세기를 늘려가며 납을 용출시켰으며, 각 단계에서 얻은 용액들에 대해 납 등위원소 비율과 함께 납과 우라늄 함량을 열이온화 질량분석기로 측정하였 다. 그 결과 창리층 혹색 점판암과 내덕리 화강암으로부터는 상당한 Pb 동위원소 값의 분산을 얻을 수 있었으며 단계적 용해에 의한 Pb-Pb 연대측정이 성공적일 수 있음을 보여준다. 단계적 용해 과정에서 시료의 종류마다 우라늄과 납의 거동이 다르며 이는 구성 광물의 종류에 따라 우라늄과 납이 차지하는 결정 내에서의 위치에 지배되는 것으로 판단된다.

• 대한간호학회지
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• 제33권5호
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• pp.625-632
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• 2003

Purpose: The purpose of this study was to assess the importance and sensitivity to nursing interventions of four nursing sensitive nursing outcomes selected from the Nursing Outcomes Classification (NOC). Outcomes for this study were 'Knowledge: Diet', 'Knowledge: Disease Process', 'Knowledge: Energy Conservation', and 'Knowledge: Health Behaviors'. Method: Data were collected from 183 nurses working in 2 university hospitals. Fehring method was used to estimate outcome and indicators' content and sensitivity validity. Multiple and stepwise regression were used to evaluate relationships between each outcome and its indicators. Result: Results confirmed the importance and nursing sensitivity of outcomes and their indicators. Key indicators of each outcomes were found by multiple regression. 'Knowledge: Diet' was suggested for adding new indicators because the variance explained by indicators was relatively low. Not all of the indicators selected for stepwise regression model were rated for highly in Fehring method. The R² statistics of the stepwise regression models were between 18 and 63% in importance by selected indicators and between 34 and 68% in contribution by selected indicators. Conclusion: This study refined what outcomes and indicators will be useful in clinical practice. Further research will be required for the revision of outcome and indicators of NOC. However, this study refined what outcomes and indicators will be useful in clinical practice.

• Journal of the Korean Data and Information Science Society
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• 제26권1호
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• pp.31-39
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• 2015

본 논문은 확률효과모형에서 사영에 근거한 분산성분을 구하는 방법을 다루고 있다. 분산성분을 추정하기 위한 ANOVA방법에서 제곱합의 계산에 사영을 이용하는 방법을 제시하고 있다. 분산성분을 구하기 위한 사영의 이용은 모형행렬에 의한 사영공간을 분산성분별 제곱합을 얻기 위한 상호직교하는 부분공간들로 분할하게 된다. 부분공간들로 분할하기 위해 모형행렬 X로의 사영에 단계별 방법(stepwise procedure)을 적용하여 해당하는 공간으로의 사영행렬을 구하는 방법을 다루고 있다. 단계별 방법에 의해 주어지는 부분공간들의 직교성으로 인해 사영행렬의 곱은 영행렬로 주어지는 성질을 갖는다. 단계별 방법에 의한 순차적 사영은 해당하는 공간으로의 사영행렬에 대한 확인과 사영행렬의 구조를 파악할 수 있는 이점이 있다. 또한 분산성분의 추정을 위한 제1종 제곱합을 구하기 위한 방법으로 유용하다.

• Asia-Pacific Journal of Atmospheric Sciences
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• 제54권4호
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• pp.611-622
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• 2018

Observed climate data are processed under the assumption that their time series are stationary, as in multi-step temperature and precipitation prediction, which usually leads to low prediction accuracy. If a climate system model is based on a single prediction model, the prediction results contain significant uncertainty. In order to overcome this drawback, this study uses a method that integrates ensemble prediction and a stepwise regression model based on a mean-valued generation function. In addition, it utilizes empirical mode decomposition (EMD), which is a new method of handling time series. First, a non-stationary time series is decomposed into a series of intrinsic mode functions (IMFs), which are stationary and multi-scale. Then, a different prediction model is constructed for each component of the IMF using numerical ensemble prediction combined with stepwise regression analysis. Finally, the results are fit to a linear regression model, and a short-term climate prediction system is established using the Visual Studio development platform. The model is validated using temperature data from February 1957 to 2005 from 88 weather stations in Guangxi, China. The results show that compared to single-model prediction methods, the EMD and ensemble prediction model is more effective for forecasting climate change and abrupt climate shifts when using historical data for multi-step prediction.