• Journal of Navigation and Port Research
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• v.31 no.6
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• pp.471-478
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• 2007

This study is carried out the investigation of nonlinear characteristics of the field wave observation data acquired in the western sea area in Jeju island during one year. It is aimed to offer the fundamental data for Freak wave forecasting in real sea. For this, the nonlinear parameters of ocean waves, which are Skewness, Atiltness, Kurtosis and Spectrum band width parameter et al., are introduced, and the parameters are compared and discussed with some characteristics wave components, ie, significant wave height, maximum wave height, and so on. As a results, we know that the parameters describe nonlinear characteristics of observed wave spectrum broadly, are feebly related with occurrence of abnormal maximum wave height, namely freak event, however the Kurtosis, $K_t$ which is a degree of peakness of mode of surface elevation distribution, has better relationship than others.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• v.1
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• pp.175-180
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• 2006

This study is carried out the investigation of nonlinear characteristics of the ocean based on the field wave observation data acquired the western sea area in Jeju island during one year. It is aimed to offer the fundamental data for Freak wave forecasting in real sea. For this, the nonlinearity parameters of ocean waves, which are Skewness, Atiltness, Kurtosis and Spectrum band width parameter, are introduced, and the parameters are compared and discussed with some characteristic wave components, ie, significant wave height, maximum wave height, and so on.

• The KIPS Transactions:PartA
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• v.14A no.7
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• pp.435-442
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• 2007

This paper is concerned with the mesh segmentation problem that can be applied to diverse applications such as texture mapping, simplification, morphing, compression, and shape matching for 3D mesh models. The mesh segmentation is the process of dividing a given mesh into the disjoint set of sub-meshes. We propose a method for segmenting meshes by simultaneously reflecting global and local geometric characteristics of the meshes. First, we extract sharp vertices over mesh vertices by interpreting the curvatures and convexity of a given mesh, which are respectively contained in the local and global geometric characteristics of the mesh. Next, we partition the sharp vertices into the $\kappa$ number of clusters by adopting the $\kappa$-means clustering method [29] based on the Euclidean distances between all pairs of the sharp vertices. Other vertices excluding the sharp vertices are merged into the nearest clusters by Euclidean distances. Also we implement the proposed method and visualize its experimental results on several 3D mesh models.

• The Journal of the Korea Contents Association
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• v.8 no.5
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• pp.94-103
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• 2008

In this paper, we adapt the $\kappa$-means clustering technique to segmenting a given 3D mesh. In order to avoid the locally minimal convergence and speed up the computing time, first we extract sharp vertices from the mesh by analysing its curvature and convexity that respectively reflect the local and global geometric characteristics from the viewpoint of cognitive science. Next the sharp vertices are partitioned into $\kappa$ clusters by iterated converging with the $\kappa$-means clustering method based on the geodesic distance instead of the Euclidean distance between each pair of the sharp vertices. For obtaining the effective result of $\kappa$-means clustering method, it is crucial to assign an initial value to $\kappa$ appropriately. Hence, we automatically compute a reasonable number of clusters as an initial value of $\kappa$. Finally the mesh segmentation is completed by merging other vertices except the sharp vertices into the nearest cluster by geodesic distance.

• Proceedings of the Korean Information Science Society Conference
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• 2007.06b
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• pp.167-170
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• 2007

본 논문에서는 텍스춰매핑, 재메쉬화, 메쉬의 단순화와 모핑 및 압축 등 다양한 분야에 적용되는 메쉬분할 문제를 다룬다. 메쉬분할은 주어진 삼차원 메쉬를 서로 떨어진 집합(disjoint sets)으로 분할하는 것으로서 여러 연구자들에 의해 많은 연구 결과들이 제시되어 왔다. 본 논문에서는 삼차원 메쉬가 가지고 있는 기하학적 특성을 고려하여 메쉬를 분할하는 방법을 제시하고자 한다. 먼저 메쉬의 국부적 기하 특성인 곡률 정보와 전역적 기하 특성인 볼록성을 이용하여 삼차원 메쉬를 구성하는 첨예정점을 추출하였고, 이들간의 거리 정보를 이용하여 이 첨예정점들을 군집화(clustering)하였다. 최종 메쉬분할을 위해 분할된 첨예정점에 속하지 않는 나머지 정점들에 대해 거리 정보를 이용하여 군집화를 수행하였다. 본 논문에서 제안한 메쉬분할 방법을 검증하기 위해 벤치마크로 공개된 여러 메쉬 모델에 대해 실험하여 그 결과를 보여주었다.

• Proceedings of the Korea Institute of Convergence Signal Processing
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• 2000.08a
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• pp.285-288
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• 2000

본 논문에서는 카메라 플랫홈의 흔들림 등으로 인한 외부 영향으로 출렁이는 비디오를 전자적으로 안정화시키는 방법을 제안한다. LOG operator〔1〕을 이용하여 특징점을 잡고 그 특징점을 중심으로 일정크기의 subblock에 대해서만 correlation을 구한다. Least Square를 이용하여 모션 파라메타를 측정하고 모션 보상을 행하는데 현재의 영상을 기준 좌표계로 변환하고 명암값 보간을 하게된다. 이 때 기존 연구에서 많이 사용한 bilinear 보간법의 단점인 대비가 첨예한 곳에서의 averaging 효과를 없애기 위해 본 연구에서는 대비가 첨예한 곳에서는 nearest neighbor 보간을 사용하고 그렇지 않은 곳에서는 bilinear 보간을 사용하는 hybrid한 방법을 채택하였다. 그 결과 사람이 카메라를 손에 들고 움직일 때 생기는 출렁이는 비디오에 대해 대부분의 카메라 움직임을 안정화시킬 수 있었다.

• KDI북한경제리뷰
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• v.23 no.10
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• pp.35-52
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• 2021

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.2 no.3
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• pp.119-127
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• 1990

Wave directional spectrum estimation methods for irregular waves were considered in this study. Until now, the Longuet-Higgins Method (LHM) initiated by Longuet-Higgins et al. (1963) has been widely used, but resolutions of the estimation were found to be low. Kobune's Maximum Entropy Method (MEM) for the estimation of wave directional spectrum, bas-ed on the entropy Principle showed higher resolutions comparing with the LHM . If the wave directional spectrum is of Delta functions, the MEM is exact in its estimation. It was also found that for a unimodal spectrum, if the Mitsuyasu's spreading coefficient is above 5, the estimation resolutions were high. In bimodal spectrum, as the angle difference between the two peaks increased, the resolution improved. The energy seems to transfer to the smoother peak in the smoothing of peak's peakedness. LHM has a tendency to estimate bimodal spectrum as a unimodal spectrum ； thus, except for its computational speed, the resolution of LHM falls far below that of MEM.

• Journal of Korean Electronics
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• v.1 no.11
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• pp.4-5
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• 1981

• Magazine of the Korean Society of Agricultural Engineers
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• v.36 no.4
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• pp.64-72
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• 1994

설계홍수량의 유도를 위해 일차적으로 극치계열인 금강, 영산강 및 석진강 수개 3개 유역의 연최고치계열을 중심으로 하여 SMEMAX법, 역변환(Power Transformation) 및 2단계역변환(Two step Power Transformation, TSPT)법에 의해 척도분포의 정규화를 위한 변환법의 효율성 검정과 설계홍수량의 유도 및 비교분석을 수행한 결과 SMEMAX 법과 Power 변환법에서는 정규분포화를 왜곡도계수의 영으로의 접근 시도는 가능하나 소설도, 3으로의 조건을 충족시킬 수 없었던 반면 2단계역변환법에서는 소설도, 3에 매우 근접된 결과를 가져오므로서 척도분포의 정규화를 기할 수 있었고 각각의 변환법에 유도된 설계홍수량간의 비교분석에서는 SMEMAX 및 Power 변환법에 비해 2단계역변환방법에 의한 설계 홍수량이 재현기간 10년 이상 실측치에 보다 접근된 좋은 결과를 나타내었다.