• 한국화재소방학회논문지
• /
• 제27권6호
• /
• pp.15-20
• /
• 2013

반발 입자 군집 최적화 알고리즘을 이용하여 시편 표면에서의 대류열전달 계수, 방사율 및 화염에 의한 열유속을 예측하였다. 콘 칼로리미터를 이용하여 여러 열유속 조건 하에서의 방무목 시편의 표면 온도와 질량감소율 및 발화시간을 측정하였다. 본 연구에서 최적화된 대류열전달계수, 방사율 및 화염에 의한 열유속을 이용하여 계산된 표면온도는 실험결과와 각 열유속에 대하여 평균오차가 2% 내로 잘 일치하였다. 본 연구에서 제시한 방법을 이용하여 실험적 방법으로 직접 측정하기 매우 어려운 화염이 발생하는 표면에서 열전달과 관련된 여러 물리량을 구할 수 있다.

• 품질경영학회지
• /
• 제46권3호
• /
• pp.453-464
• /
• 2018

Purpose: The purpose of this study is to propose a solution to the case where $V_{50}$ calculation is impossible in the process of bulletproof test. Methods: In this study, we proposed a $V_{50}$ estimation method using logistic regression analysis. Six scenarios were applied by combining the homogeneity of the sample and the speed range. Then, 1,000 simulations were performed per scenario and six assumptions reflecting the reality were applied. Results: The result of the study, it was confirmed that there was no statistical difference between the $V_{50}$ value calculated by the conventional method and the $V_{50}$ value calculated by the improvement method. Therefore, in situations where $V_{50}$ can not be calculated, it is reasonable to use logistic regression analysis. Conclusion: This study develops a methodology that is easy to use and reliable by using statistical model based on actual data.

• Communications for Statistical Applications and Methods
• /
• 제18권4호
• /
• pp.445-455
• /
• 2011

표본추출에서 오분류된 이진자료는 흔히 발생될 수 있는 현실적인 문제이지만 통계적 방법론은 상대적으로 제한적이라고 할 수 있다. 특히, 모비율의 구간추정 문제는 고전적인 Wald 방법에 의존하고 있었다. 그러나 최근 이승천과 최병수 (2009)에서 Agresti-Coull 방법을 적용하고 새로운 구간추정 방법을 제시하였으며, 수치적인 방법에 의해 Agresti-Coull 신뢰구간의 효율성을 주장하였다. 본 연구에서는 오분류된 이진자료에 대한 베이지안 모형을 다루었으며, 베이지안 모형이 Agresti-Coull 신뢰구간의 이론적 배경이 될 수 있는지 살펴 보았다.

• 한국경영과학회:학술대회논문집
• /
• 한국경영과학회 1997년도 추계학술대회발표논문집; 홍익대학교, 서울; 1 Nov. 1997
• /
• pp.177-180
• /
• 1997

Outliers, unexpected extraordinary observations that look discordant from most observation in a data set are commonplace in various kinds of data analysis. Since the effect of outliers on model identification could be serious, the aim of this paper is to present some ways of handling outliers in given data set and to specify a model in the presence of outliers. A procedure based on neural network which identifies outliers, removes their effects, and specifies a model for the underlying process is proposed. In contrast with traditional parametric methods requiring to estimate the model's structure and parameters before detecting outliers, the proposed procedure is a nonparametric method without the estimation of model's structure and parameters before handling outliers and could be applied for real problems in the presence of outliers. The proposed methodology is performed as followings. Firstly, outliers are detected and the detected outliers replace the prediction values using outliers detection neural network. The data set removing the effect of outliers is retraining using neural network. Therefore the effects of outliers are removed and the modeling precision can be improved. Experimental results show that the proposed method is suitable for predicting data set in the presence of outliers.

• 한국안전학회지
• /
• 제22권5호
• /
• pp.84-89
• /
• 2007

폭발하한계는 가연성물질의 화재 및 폭발 위험성을 결정하는데 사용되는 중요한 연소특성치의 하나이다. 본 연구에서 에스테르 화합물에 대한 폭발하한계는 액체 열역학이론을 근거로 표준끓는점과 인화점을 이용하여 예측하였다. 그 결과, 문헌값과 예측값의 A.A.P.E.(average absolute percent error)는 8.80vo1%이고, A.A.D.(average absolute deviation)는 0.18vo1% 그리고 상관계수는 0.965로써 문헌값과 예측값은 일치하였다. 제시된 방법론 사용에 의해 다른 가연성물질의 폭발하한계 예측이 가능하다.

• 조명전기설비학회논문지
• /
• 제23권1호
• /
• pp.100-108
• /
• 2009

빠른 경제 성장과 더불어 에어컨과 같은 냉방기기의 사용이 지난 십년간 급격히 점점 증가하고 있다. 이에 따른 에너지 소비가 증가하고 있다. 정부는 에너지 소비를 줄이기 위해 주요 가전기기에 최저효율제를 시행하고 있다. 최저효율제를 시행하고 있는 에어컨은 우리가 많이 사용하는 가전기기 중 하나로 효율기준 강화를 통해 에너지 절약효과 뿐만 아니라 환경적인 효과도 기대할 수 있다. 본 논문에서는 여름철 전력사용의 가장 큰 부분을 차지하고있는 냉장고의 효율향상에 따른 $CO_2$ 발생량을 계산하는 실질적인 분석절차를 제안하고자 한다.

• 품질경영학회지
• /
• 제47권4호
• /
• pp.687-700
• /
• 2019

Purpose: The purpose of this study is to investigate the interaction effects between price determinants of artworks. We expand the methodology in art market by applying machine learning techniques to estimate the price of artworks and compare linear regression and machine learning in terms of prediction accuracy. Methods: Moderated regression analysis was performed to verify the interaction effects of artistic characteristics on price. The moderating effects were studied by confirming the significance level of the interaction terms of the derived regression equation. In order to derive price estimation model, we use multiple linear regression analysis, which is a parametric statistical technique, and k-nearest neighbor (kNN) regression, which is a nonparametric statistical technique in machine learning methods. Results: Mostly, the influences of the price determinants of art are different according to the auction types and the artist 's reputation. However, the auction type did not control the influence of the genre of the work on the price. As a result of the analysis, the kNN regression was superior to the linear regression analysis based on the prediction accuracy. Conclusion: It provides a theoretical basis for the complexity that exists between pricing determinant factors of artworks. In addition, the nonparametric models and machine learning techniques as well as existing parameter models are implemented to estimate the artworks' price.

• 대한기계학회논문집B
• /
• 제33권10호
• /
• pp.748-756
• /
• 2009

The effect of idling stop on $CO_2$ reduction was estimated, especially in the area of in-use vehicles. In order to know the fuel saving for each class of vehicles, a methodology to calculate the fuel saving was used along with a standard test using NIER-07 mode. Idling stop execution rate was estimated by analyzing the driving pattern of the in-use city buses, which shows about 75% at maximum. And this corresponds to about 5.4% reduction of the daily total fuel consumption. Finally, $CO_2$ reduction in the automotive sector was estimated, which concludes that, when idling stop device is used, about 480 thousand and 450 thousand tons of $CO_2$ could be reduced with in-use city buses and taxis, respectively. This amount corresponds to about 1.2% of $CO_2$ reduction in the automotive sector.

• 디자인학연구
• /
• 제5권1호
• /
• pp.37-44
• /
• 1992

Today, the art and the architecture face up to the problem of loss of direction. So, the derection of post have been lost. This phenomina cause the second loss of direction, because the mode of pre-modernism is underestimated. After all, the mode and philosophy of after-modernism face up to the new crisis of derection. Present artists, archtectures and designers have to acnieve new trial and study for estimation of aestetics and directions. Ultimately, constant exercise and study of philosophy, morpholophy, morphology, current mode and new materials is necessary to search a methodology. This all have to be accomplished by the clear philosophy. The original identity is formed in environmental basis. So, first, architectures, designers, and artist understand native identity, second, we sho have acadenical and practical faculties impose significance. In case of Europe, the change of mode have led paradigm of culture. The great change of social culture have come out the wave of revolution that cross in design, architecture and art. 1920's of modernism evolve 1960's completion. In the change of life style, functionalism have evolved postmodernnism. But, in this change we do not suggest the new derection that form concrete idea and sympathy. This phenomina appear in the end of a centry, and nowaday is that day. This trends effect on artists, architectures, and designers, and design and will be changed. Finally, we need to study of concrete and new direction in this circumstance.

• 경영과학
• /
• 제25권2호
• /
• pp.43-55
• /
• 2008

Contingent valuation method(hereafter CVM) is generally believed to be one of the most popular methods used for quantifying the value of non-market goods or services particularly by asking respondents of willingness to pay. This study deals with how to use CVM in calculating the value of mobile telephone service by suggesting methodology of estimation and eliminating biases. This study represents an attempt to estimate the WTP(Willingness To Pay) of the mobile telephone service using the face-to-face interview which is the qualitative technique is used. In this study, by using the single bound dichotomous choice model(SBDC) in order to analyze the valuation of mobile telephone service, WTP was estimated. Also we analyze the factors to pay for mobile service in which it becomes the important factor of demanding services. We used logit model. In order to provide robust estimates of WTP, we have used the Method of Montecarlo Simulation. Consequently, consumers showed that WTP about the mobile communications service is generally high. And it could know that the WTP will fell down as the specialized knowledge about the mobile communications frequency was high. It will be able to become the important part to not only the business carrier but also the policy maker to estimate the economic value of mobile telephone service.