• Proceedings of the Korean Operations and Management Science Society Conference
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• 1995.04a
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• pp.11-17
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• 1995

이동가입자 수신단에서의 평균 수신전력 레벨이 핸드오버 임계값과 수신기 임계값 사이에 있는 영역을 핸드오버 영역이라 하며, 가입자가 핸드오버 영역에 머무르는 시간을 핸드오버 지속시간(Handover Duration Time)으로 정의한다. 시뮬레이션 분석 결과 핸드오버 지속시간은 감마분포를 따름이 입증되었으며, 따라서 본 연구에서는 감마분포에서의 모수(shape, scale 파라메터)를 해석적 방법으로 구한다. 그리고 해석적 방법의 검증을 위해 평균과 표준편차, 모수를 시뮬레이션 결과와 비교하며, 끝으로 적합도 검정을 수행하였다.

• Proceedings of the Korean Information Science Society Conference
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• 2001.04b
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• pp.481-483
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• 2001

본 논문에서는 동영상으로부터 색상, 서체, 크기와 같은 사전 지식 없이도 글자/자막을 효율적으로 추출하는 방법을 제안한다. 해상도가 낮고 복잡한 배경을 포함할 수 있는 비디오에서 글자 인식률 향상을 위해 먼저 동일한 텍스트 영역의 존재하는 프레임들을 자동적으로 추출한 후 이들의 시간적 평균영상을 만들어 향상된 영상을 얻는다. 평균영상의 외각선 영상의 투영 값을 통해 문자영역을 찾고 각 텍스트 영역에 대해 1차 배경제거 과정인 region filling을 적용하여 글자의 배경들을 제거 함으로써 글자를 추출한다. 1차 배경제거의 결과를 검증하고 추가적으로 k-means를 이용한 color clustering을 적용하여 남아있는 배경들을 효율적으로 제거 함으로써 최종 글자영상을 추출한다.

• Proceedings of the KIPE Conference
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• 2005.07a
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• pp.442-444
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• 2005

본 논문에서는 평균전류모드제어를 이용하는 컨버터의 연속시간 소신호 모델을 구한다. 평균전류모드제어에 일반적으로 사용되는 보상기를 적용한 컨버터의 해석을 위해 샘플러를 전류루프에 포함시켜 해석한다. 기존 모델에서는 정확히 해석하기 어려웠던 전류루프 이득의 고주파 영역 해석이 제안한 모델을 이용함으로써 쉽게 해결할 수 있으며, 시스템의 안정성을 결정하는 고주파 영역에서의 주파수 응답 특성을 제안한 모델이 우수한 성능으로 예측 가능함을 보인다.

• The Journal of the Korea institute of electronic communication sciences
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• v.8 no.2
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• pp.213-218
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• 2013

In this paper, a video based ship detection method is proposed to monitor port efficiently. Visual saliency map algorithm and mean shift algorithm is applied to detect moving ships don't include background information which is difficult to track moving ships. It is easy to detect ships at the port using saliency map algorithm, because it is very effective to extract saliency object from background. To remove background information in the saliency region, image segmentation and clustering using mean shift algorithm is used. As results of detecting simulation with images of a camera installed at the harbor, it is shown that the proposed method is effective to detect ships.

• Proceedings of the Korea Water Resources Association Conference
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• 2010.05a
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• pp.515-519
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• 2010

본 연구에서는 침수식생 개수로 흐름의 평균유속 및 다양한 난류량 예측이 가능한 해석적 모형의 비교 분석을 수행하였다. 각 모형의 비교분석에 사용한 수리실험자료는 기존의 다양한 연구자가 제시한 실험결과를 이용하였다. 레이놀즈응력의 경우, 상부영역에서는 선형분포를 가정한 두 모형 모두 수리실험자료와 잘 일치하였다. 그러나 식생영역의 경우 3층모형에서 가정한 지수함수 형태의 레이놀즈응력은 실험자료와 잘 일치하지 않는 것으로 나타났다. 평균유속의 경우, 삼층모형에서 새로이 추가된 내부식생영역은 전체적인 예측결과에 큰 영향을 미치지 않는 것으로 나타났지만, 전체적인 평균유속 예측결과는 두 모형 모두 비교적 유사하였다. 본 연구를 통하여 분석된 2층모형과 3층모형의 장점만을 취합하여 이층모형의 정확성을 개선하였다. 기존 수리실험자료를 이용하여 식생수로의 레이놀즈응력분포식을 최적화된 멱함수 형태로 제시하였다. 개발된 모형을 기존 수리실험자료에 적용한 결과 특정 조건을 제외하고는 비교적 정확하게 식생흐름의 평균유속분포를 예측하는 것으로 나타났으며, 이는 식생 및 흐름조건에 의해 식생영역의 레이놀즈응력분포형태가 왜곡되어있을 경우인 것으로 분석되었다.

• Journal of Radiation Protection and Research
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• v.26 no.2
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• pp.59-66
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• 2001

It is a hot issue to determine the spatial location and shape of tumor boundary in fractionated stereotactic radiotherapy (FSRT). We could get consecutive transaxial plane images from the phantom (paraffin) and 4 patients with brain tumor using helical computed tomography(HCT). K-means classification algorithm was adjusted to change raw data pixel value in CT images into classified average pixel value. The classified images consists of 5 regions that ate tumor region (TR), normal region (NR), combination region (CR), uncommitted region (UR) and artifact region (AR). The major concern was how to separate the normal region from tumor region in the combination area. Relative average deviation analysis was adjusted to alter average pixel values of 5 regions into 2 regions of normal and tumor region to define maximum point among average deviation pixel values. And then we drawn gross tumor volume (GTV) boundary by connecting maximum points in images using semi-automatic contour method by IDL(Interactive Data Language) program. The error limit of the ROI boundary in homogeneous phantom is estimated within ${\pm}1%$. In case of 4 patients, we could confirm that the tumor lesions described by physician and the lesions described automatically by the K-mean classification algorithm and relative average deviation analyses were similar. These methods can make uncertain boundary between normal and tumor region into clear boundary. Therefore it will be useful in the CT images-based treatment planning especially to use above procedure apply prescribed method when CT images intermittently fail to visualize tumor volume comparing to MRI images.

• Geophysics and Geophysical Exploration
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• v.5 no.3
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• pp.169-177
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• 2002

We develop the weighted-averaging finite-element method which uses four kinds of element sets. By constructing global stiffness and mass matrices for four kinds of element sets and then averaging them with weighting coefficients, we obtain a new global stiffness and mass matrix. With the optimal weighting coefficients minimizing grid dispersion and grid anisotropy, we can reduce the number of grid points required per wavelength to 4 for a $1\%$ upper limit of error. We confirm the accuracy of our weighted-averaging finite-element method through accuracy analyses for a homogeneous and a horizontal-layer model. By synthetic data example, we reconfirm that our method is more efficient for simulating a geological model than previous finite-element methods.

• Journal of the Korean Society of Food Science and Nutrition
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• v.37 no.7
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• pp.942-952
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• 2008

The purpose of this research was to evaluate the quality of take-out services at restaurants in Chungbuk Province. A questionnaire survey by 450 customers who had experience in take-out service at the restaurants was conducted and 378 completed questionnaires were available for statistical evaluation. Statistical analyses were made of raw data by SAS V8.2. The scale for analyzing the importance and performance of the service quality was composed of 5-point Likert scales. The main results of this study are as follow: The quality attributes of take-out service were rearranged into four factors in terms of food, sanitation, access and service. The importance score was higher than performance score. IPA showed that 'freshness of food material', 'cleanliness and hygiene in food', 'sanitation of facilities', 'neatness of employees' and 'price in food' was included in 'focus here' area. There was significantly positive correlation between factors such as food, sanitation, access, service and overall customer satisfaction (p<.001); between factors and repurchasing intentions (p<.001); and between customer satisfaction and repurchasing intentions (p<.001). According to multiple regression analysis, 26.27% of the variance in respondents' overall satisfaction score and 9.21% of the variance in respondents' repurchasing intention score could be explained by factors such as food, sanitation, access and service.

• The Korean Journal of Applied Statistics
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• v.35 no.6
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• pp.725-737
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• 2022

In the standard assumption of statistical process monitoring (SPM) under consideration, the in-control region of the control parameter of quality characteristic consists of a single point. However, if small deviations from the ideal situation may not be of practical importance, the parametric space can consist of three regions: In-control, indifference, and out-of-control. In this paper, we propose two exponentially weighted moving average (EWMA) charting procedures applicable to the situation with three parameter regions, and compare the efficiency of the proposed procedures with the Shewhart chart and the cumulative sum (CUSUM) chart.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.4C
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• pp.223-229
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• 2005

In this paper, we proposed an extended edge-based line averaging method for deinterlacing with restricted search range. Conversion from interlaced signal to non-interlaced signal is one of important issues. Conventional deinterlacing algorithms usually utilize edge-based line average algorithm(ELA) within pixel-by-pixel approach. However, it is very sensitive to noise and variation of intensity. To reduce the sensitivity, the proposed method adopts a block-by-block approach and provides reliable direction of edge. Simulation results show that it provides a better performance than other pixel-by-pixel ELA-based methods.