• The KIPS Transactions:PartB
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• v.19B no.3
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• pp.201-208
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• 2012

Accurately segmenting lumen border in intravascular ultrasound images (IVUS) is very important to study vascular wall architecture for diagnosis of the cardiovascular diseases. After each of IVUS image is transformed to a polar coordinated image, initial points are detected using wavelet transform. Then, lumen border is initialized as the set of important points using non parametric probability density function and smoothing function by removing outlier initial points occurred by noises and artifacts. Finally, polynomial curve fitting is applied to obtain real lumen border using filtered important points. The evaluation of proposed method was performed with related method and the proposed method produced accurate lumen contour detection when compared to another method in most types of IVUS images.

• The Journal of the Korea Contents Association
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• v.14 no.9
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• pp.582-588
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• 2014

The purpose of this study is to analyze how a joint research network between countries affects the diffusion of technology information and how much countries with high centrality on the network accept new technology and to seek their meaning. With this aim, the joint research network density between countries by year and the number of participating countries were measured using thesis information regarding the secondary battery field and the electric vehicle field, and a regression analysis of relevant variables was conducted. As a result of the analysis, the greater the joint research network density in the secondary battery field, the higher the number of participating countries in a linear relationship. Also, on the joint research network, countries with high degree centrality were discovered to have led development in the mid to large size secondary battery field. Meanwhile, for the electric vehicle field, although there appeared no increase in the network density value, the number of participating countries was found to have increased. This was analyzed that joint research between countries was not a necessary and sufficient condition although it played a crucial role in promoting technology diffusion. Such a result is meaningful in that it verified promoting factors for essential technology diffusion statistically; however, with this research, there exist limitations that the index of a central role on the network was measured only with degree centrality and that only the relationship between two players was measured for network density in interactions between players. Accordingly, it is necessary to carry out research into a method to measure interactions among multiple researchers in the future.

• The Korean Journal of Applied Statistics
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• v.13 no.1
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• pp.115-131
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• 2000

이 논문에서는 평균-이동모형(mean-shift model)을 이상점을 위한 대립모형으로 사용하여 변량모형(random effect model)에서의 이상점 검출을 위한 베이즈인자(Bayes factor)를 제시한다. 그러나 가능한 사전 정보가 없어서 무정보사전분포(noninformative prior distribution)가 사용되어야만 할 때, 대부분의 무정보사전분포는 부적절분포(improper distribution)이기 때문에 베이즌 인자에는 사전분포로부터 나온 미지의 상수가 포함되어 잇다. 이 문제를 해결하기 위해 이 논문에서는 Berger와 Pericchi (1996)가 제시한 내재베이즈인자(the intrinsic Bayes factor;IBF)를 사용한다. 또한 이 베이즈인자를 계산상 어려움을 해결하기 위해 Verdinellidh Wasserman(1995)의 일반화 세비디지키 밀도비를 이용하여 수정하고 이것을 이용하여 이상점을 검출하는 방법을 제시한다. 마지막으로 인위적으로 이상점을 포함하고 있는 데이터를 만들고 제시된 방법으로 가상실험을 하고 또한 실제 데이터에서 제시한 방법으로 이상점을 찾아보았다.

• Proceedings of the Korean Society Of Semiconductor Equipment Technology
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• 2007.06a
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• pp.90-93
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• 2007

밀도가 높고 주기적으로 배열된 실리콘 나노점이 실리콘 기판위에 형성 되었다. 실리콘 나노점을 형성하기 위해 사용된 나노패턴의 지름은 20 나노미터(nm)이고 깊이는 40 nm 이었으며 기공과 기공사이의 거리는 50 nm 였다. 나노미터 크기의 패턴을 형성시키기 위해서 자기조립물질을 사용했으며 폴리스티렌(PS) 바탕에 벌집형태로 평행하게 배열된 실린더 모양의 폴리메틸메타아크릴레이트(PMMA)의 구조를 형성하였다 폴리메틸메타아크릴레이트를 아세트산으로 제거하여 폴리스티렌만 남아있는 나노크기의 마스크를 만들었다. 형성된 나노패턴에 전자빔 기상증착장치를 사용하여 금 박막을 $100\;{\AA}$ 증착하고 리프트오프(lift-off) 방식으로 금 나노점을 만들었다. 형성된 금 나노점을 불소기반의 화학반응성 식각법을 이용하여 식각하고 황산으로 제거하였다. 형성된 실리콘 나노점의 지름은 24 nm 였고 높이는 20 nm 였다.

• Geotechnical Engineering
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• v.13 no.2
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• pp.125-136
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• 1997

The fullsized drawbar pull test is carried out in Yeog-gol area to find out the effect of test vehicle's trafficability with the variation of density and water content at the weathered granite soils and water content at the clayey soils. According to the results, it is found that the behavior of optimum drawbar pull is effected not only by water content but also by density. This paper showed the method of determination of optimum points at a curve of drawbar pull varying with the conditons of soils. And it also showed the optimum drawbar pull coefficient and optimum slip varying with the density of the weathered granite soils.

• Proceedings of the Korean Society of Marine Engineers Conference
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• 2011.06a
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• pp.323-323
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• 2011

본 연구는 냉각점이 중간에 위치하는 정적제빙형인 관외 제빙기내에서의 물의 자연대류 현상에 대해 수치적으로 다루고 있다. 자연대류현상과 열전도에 의해 조절되는 물에 이동을 유한차분법을 이용해 2차원적으로 계산하였다. 또한, 본 연구에서는 물의 온도가 4[$^{\circ}C$]에서 밀도역전현상이 일어나는 것을 수치해석의 결과와 비교한다. 자연대류의 변화에 따른 결과는 수치해석을 통해 등온선과 유선형의 그래프로부터 알 수 있었다. 그 중에서도 물의 온도와 밀도의 관계에 따라 자연대류의 변화가 일어나는 것을 수치해석을 통해 알 수 있었다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.37B no.12
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• pp.1128-1137
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• 2012

In this paper, we propose an improved MPR selection method considering mobility and density of nodes for ad-hoc networks. In Optimized Link State Routing(OLSR), a node selects 1-hop Multi-Point Relay(MPR) nodes to cover all 2-hop neighbor nodes. In a high population area, many nodes are likely to be selected as MPR nodes by their neighbors. This leads to increase in contention among MPR nodes and may decrease overall performance of the network. In addition, when an MPR node leaves the communication range of its MPR selector node, it can no longer perform as the MPR node and the performance of the network may also decrease. In this paper, we propose an MPR selection method which measures the mobility and density of nodes by exchanging the hello messages and gives the priorities to the nodes for MPR selection. Performance evaluation results using OPNET show that the proposed method is superior to OLSR or the MPR candidate method in terms of connectivity and throughput.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.1442-1445
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• 2015

본 논문은 SAR 영상에서 객체를 추출하는 새로운 방법으로 특징점 기반 분할 히스토그램 기법을 제안한다. 제안하는 방법은 영상 히스토그램에서 객체로 추정될 수 있는 영역을 세밀하게 추출하기 위해 영상에서 특징점을 추출한 후, 특징점의 밝기를 기준으로 히스토그램을 분할한다. 분할 히스토그램이 배경과 객체 성분을 모두 포함하고 있을 경우 해당 영역의 혼합 확률밀도함수가 교차되는 임계점을 계산한다. 계산된 임계점을 기준으로 현재 영역이 전체 영상에서 차지하는 비율을 비교하여 배경과 객체 여부를 판단한다. 제안하는 방법은 무인 감시 정찰 시스템 등 다양한 응용 기술에 활용될 수 있을 것으로 기대한다.

• Korean Journal of Optics and Photonics
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• v.12 no.3
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• pp.205-211
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• 2001

We propose a constant inversion black box model of erbium-doped fiber amplifiers (EDFAs) for exact performance predictions for EDFAs operated in the gain-flattened condition. The validity of the newly proposed model was experimentally verified by predicting the performance of EDFAs for the L band, within 1.9% required pump power discrepancy. The role of ion pairing effects on the power conversion efficiency is also discussed. ussed.

• The Journal of the Korea institute of electronic communication sciences
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• v.13 no.6
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• pp.1191-1198
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• 2018

The wind profiler radar provides a standing profile of the wind vector and the atmospheric physical signal for the fixed point. Since the wind vector is calculated by the manufacturer's data processing program, the quality control of the date is limited. Therefore, understanding and exploiting the raw spectrum data need to improve the quality of the wind vector. The raw data of the wind vector is the power spectral density stored in binary form. In this study, an algorithm was completed to transform the raw data into the real spectral density, and the use of raw data was evaluated by retrieving zero-order and first-order moments of the spectral based on the spectrum quality control.