• Journal of Information Processing Systems
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• 제9권4호
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• pp.660-677
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• 2013

The blending of defective texture with the ambience texture results in camouflage. The gray value or color distribution pattern of the camouflaged images fails to reflect considerable deviations between the camouflaged object and the sublimating background demands improved strategies for texture analysis. In this research, we propose the implementation of an initial enhancement of the image that employs line masks, which could result in a better discrimination of the camouflaged portion. Finally, the gray value distribution patterns are analyzed in the enhanced image, to fix the camouflaged portions.

• Wind and Structures
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• 제38권4호
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• pp.325-339
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• 2024

The longitudinal force resulting from tornado loads on transmission line is considered a crucial factor contributing to the failure of transmission line structures during tornado events. Accurate estimation of this longitudinal force poses a challenge for structural designers. Therefore, the objective of this paper is to provide a set of charts that can be easily used to estimate the peak longitudinal forces transferred from the conductors to a tower. The critical wind field and corresponding configuration considered in this paper are previously studied and determined. The charts should account for all the conductor parameters that can affect the value of the longitudinal force. In order to achieve that, a parametric study is first conducted to assess the variation of the longitudinal forces with different conductor parameters, based on the critical tornado configuration. Results of this parametric study are used to develop the charts that can be used to calculate longitudinal forces by adopting a multi-variable line regression. The forces calculated from charts are validated by finite element analysis. An example for the usage of the charts is provided at the end of this paper.

• 마케팅과학연구
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• 제13권
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• pp.135-158
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• 2004

본 연구에서 온라인 소비자들이 재방문단계(revisit stage)와 구매의사결정 단계(decision-making stage)에서 어떤 방문행동 특성상의 차이를 보이고 있는가를 파악하기 위한 목적을 가지고 있다. 인터넷 쇼핑몰 시장에서 어떤 방문행동특성을 가진 온라인 소비자들이 지속적으로 같은 사이트를 방문하고, 구매행동을 하는지에 관한 정보는 사이트 관리자의 입장에서 볼 때 수익성 제고 측면에서 공헌하는 바가크다. 특히 본 연구에서는 2단계 Mixture Model 율 이용하여 온라인 소비자들의 방문행동 특성을 파악함으로써 인터넷 쇼핑몰의 경쟁력을 강화활 수 있는 세분시장 결정방법을 제시하고자 한다. 또한 사이트 재방문단계 (revisit stage) 와 구매의사결정 단계 (decision-making stage) 훌 통한 온라인 소비자들의 방문 행동 특성 정보는 사이트 경쟁력 강화를 위한 전략적 시사점율 제공해줄 것으로 기대된다. 본 연구는 온라인 소비자들의 구매의사결정이 재밤문단계 (revisit stage) 와 구매단계 (purchase stage) 라고 하는 2단계 의사결정과정을 거치고 있음을 보여주는 실증분석을 통해 온라인 소비자들의 방문행동 특성을 파악하여 이에 적합한 대응전략을 전개할 수 있음을 논의함으로써 온라인 소비자들의 방문행동 특성을 사이트 밀착도 및 항해유형에 따라 파악할 수 있다는 학문적 공헌점을 제시 하고 있다.

• 한국수자원학회논문집
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• 제41권1호
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• pp.17-25
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• 2008

수위-유량관계식의 유도와 실무적용에 있어 통상적으로 회귀분석의 특성을 간과하고 사용하는 경우가 종종 발생한다. 예를 들어 실무에서는 관측수위로부터 관측유량으로 회귀분석되어 만들어진 수위-유량관계식을 홍수모형으로부터 모의된 설계홍수유출량으로부터 설계홍수위를 환산하는데 사용되기도 한다. 그러나 독립과 종속변수가 서로 바뀌면, 관측치와 회귀식간 연직거리의 잔차들로부터 유도된 기존의 회귀분석에 의하여, 회귀식이 서로 달라지기 때문에 역으로 적용하여서는 안 된다. 본 연구에서는 이런 문제점을 해결하기위해 회귀식의 변수들을 상호 교환할 수 있는 최소자승 회귀분석의 새로운 알고리즘을 제안하였다. 새로운 방법을 낙동강유역의 본류 5개 수위표지점의 수위-유량관계식에 대하여 적용하였다. 3가지 회귀식이 유도되었는데, 이들은 각각 수위로부터 유량으로(model 1), 유량으로부터 수위로(model 2) 그리고 양방향(model 3)으로 유도된 수위-유량관계식을 비교하여 실무에서 잘못 적용되는 실수를 줄일 수 있는 새로운 방법을 제시하였다.

• 디지털콘텐츠학회 논문지
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• 제19권9호
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• pp.1787-1793
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• 2018

그림자는 자연 경관에서 관찰되는 일반적인 현상이지만 물체 인식, 특징 검출 및 장면 분석등과 같은 영상 분석에 부정적인 영향을 미치는 요소이므로 디지털 영상에 포함된 그림자 처리는 디지털 영상 분석 과정에서 필수적으로 고려되어야 한다. 본 논문에서는 단일 자연 영상에 포함된 그림자를 검출하고 제거하기 위한 특징 요소 중의 하나인 1D 불변 영상의 획득을 위한 기존 방법들에 대해 기술하고, 선형 회귀 기반의 1D 불변 영상 획득 방법을 제안하였다. 제안하는 방법은 RGB 칼라 영상의 각 채널 간의 밴드 비의 로그를 계산한 후 선형 회귀를 통해 그레이스케일 영상 라인을 획득하고, 최종 1D 불변 영상은 밴드 비의 로그 영상들을 추정된 그레이스케일 영상 라인으로 투영시켜 획득하였다. 실험 결과, 제안하는 방법이 기존의 엔트로피 최소화 기반의 투영 각도를 계산하는 방법보다 계산 복잡도가 낮았으며, 1D 불변 영상을 이용한 그림자가 검출 및 제거가 효과적으로 수행됨을 보였다.

• 품질경영학회지
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• 제32권4호
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• pp.15-29
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• 2004

This paper is interested in analyzing the CSFs of 3 different kinds of on-line digital products. They are on-line digital products of (1) transaction, (2) relations, and (3) interests. This study first tried to define the on-line digital products based in the above three categories and then to find the factors that might effect the customer acceptability in each product groups. Independent variables used in this study are characters of products, characters of users, and system environments. This paper that on-line survey has been conducted for the study's specialty and the collected resource was analyzed by using the SPSS 10.0K statistics package. Using multiple regression, this study finds that major factors effecting the user acceptability of each group are different from one another. For example, system environment variables such as speediness, system performance effects the customer acceptability of digital products of Interest(game, avartar, etc). Much more then that of products of relations(information service, etc). Therefore empirical findings are suggested in the conclusion.

• Asian-Australasian Journal of Animal Sciences
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• 제24권1호
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• pp.17-27
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• 2011

A selection experiment for reduced residual feed intake (RFI) in Yorkshire pigs consisted of a line selected for lower RFI (LRFI) and a random control line (CTRL). Longitudinal measurements of daily feed intake (DFI) and body weight (BW) from generation 5 of this experiment were used. The objectives of this study were to evaluate the use of random regression (RR) and nonlinear mixed models to predict DFI and BW for individual pigs, accounting for the substantial missing information that characterizes these data, and to evaluate the effect of selection for RFI on BW and DFI curves. Forty RR models with different-order polynomials of age as fixed and random effects, and with homogeneous or heterogeneous residual variance by month of age, were fitted for both DFI and BW. Based on predicted residual sum of squares (PRESS) and residual diagnostics, the quadratic polynomial RR model was identified to be best, but with heterogeneous residual variance for DFI and homogeneous residual variance for BW. Compared to the simple quadratic and linear regression models for individual pigs, these RR models decreased PRESS by 1% and 2% for DFI and by 42% and 36% for BW on boars and gilts, respectively. Given the same number of random effects as the polynomial RR models, i.e., two for BW and one for DFI, the non-linear Gompertz model predicted better than the polynomial RR models but not as good as higher order polynomial RR models. After five generations of selection for reduced RFI, the LRFI line had a lower population curve for DFI and BW than the CTRL line, especially towards the end of the growth period.

• Journal of Electrical Engineering and Technology
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• 제12권2호
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• pp.969-980
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• 2017

Galloping is one of the most serious vibration problems in transmission lines. Power lines can be extensively damaged owing to aerodynamic instabilities caused by ice accretion. In this study, the accident probability induced by galloping phenomenon was analyzed using logistic regression analysis. As former studies have generally concluded, main factors considered were local weather factors and physical factors of power delivery systems. Since the number of transmission towers outnumbers the number of weather observatories, interpolation of weather factors, Kriging to be more specific, has been conducted in prior to forming galloping accident estimation model. Physical factors have been provided by Korea Electric Power Corporation, however because of the large number of explanatory variables, variable selection has been conducted, leaving total 11 variables. Before forming estimation model, with 84 provided galloping cases, 840 non-galloped cases were chosen out of 13 billion cases. Prediction model for accidents by galloping has been formed with logistic regression model and validated with 4-fold validation method, corresponding AUC value of ROC curve has been used to assess the discrimination level of estimation models. As the result, logistic regression analysis effectively discriminated the power lines that experienced galloping accidents from those that did not.

• 한국경영과학회지
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• 제14권2호
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• pp.105-114
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• 1989

The actual working time of jobs, in general, is different to the standard time of jobs. In this paper, in order to analyze the actual working time of each job in production, we use the total production amount and the encessary total working time. The method which analyzes the actual working time is as follows. In this paper, we propose the interval regression analysis for obtaining an interval linear regression model with constraint conditions with respect to interval parameters. The merits of this method are the following.1) it is easy to obtain an interval linear model by solving a LP problem to which the formulation of proposed regression analysis is reduced, 2) it is easy to add constraint conditions about interval parameters, which are a sort of expert knowledge. As an application, within a case which has given certain data, the actual working time of jobs and the number of workers in a future plan are estimated through the real data obtianed from the operation of processing line in a heavy industry company. It results from the proposed method that the actual working time and the number of workers can be estimated as intervals by the interval regression model.

• 대한간호학회지
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• 제50권4호
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• pp.541-553
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• 2020

Purpose: In spite of the recent application of a general infection control method, central line-associated infections is still relatively high in Korea. Central line bundle with Chlorhexidine gluconate (CHG) tegaderm dressing was reported to be effective in reducing catheter colonization and central line-associated bloodstream infections (CLABSI). Therefore, this study aimed to examine the incidences of catheter colonization occurrence and CLABSI while using Tegaderm vs. CHG Tegaderm dressings. Methods: We used a descriptive design. 400 patients who had central venous catheters were selected from four hospitals in the Korean National Healthcare-associated Infections Surveillance System. Of all subjects, 200 used Tegaderm™ (Tegaderm group), and the remaining 200 used CHG Tegaderm (CHG Tegaderm group) dressing at the catheter insertion site. Data were analyzed using the χ² test or Fisher's exact test, t-test, and logistic regression analysis using SPSS WIN 21.0. Results: In the Tegaderm and CHG Tegaderm groups, CLABSI incidences were 5.89 and 1.79 per 1,000 catheter-days, catheter colonization incidences were 3.93 and 1.43 per 1,000 catheter-days, and central line bundle compliance rates were 26.0% and 49.0%, respectively. Catheter colonization risk factors were 'reinsertion after failure' and 'Tegaderm dressing' at the central line insertion site. CLABSI risk factors were 'incomplete performance of 7 central line bundle items' and 'Tegaderm dressing' at the central line insertion site. Conclusion: A further prospective study is needed to examine the effects of central line bundle with CHG Tegaderm dressing, avoiding central line reinsertion after failure, and improving the bundle compliance in reducing catheter colonization and CLABSI.