• 한국항해항만학회지
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• 제42권6호
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• pp.453-458
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• 2018

해상교통 분석은 대상 해역의 환경 특성을 파악하고, 선박의 교통 패턴을 분석하는 일련의 과정을 일컫는다. 이는 최근 해상 교통량이 늘어나고 관제 영역이 확장됨에 따라 그 필요성이 증가하고 있으며, 실제로 해상교통관제(VTS, Vessel Traffic Service)와 항만 시설의 안전성 평가에 적용되기도 한다. 본 논문에서는 공간정보 분석 방법 중 히트맵(heatmap)과 중심점(centroid) 기법을 이용하여 선박의 통항패턴을 분석하는 방법을 제안한다. 이 방법은 시간에 따라 공간적 특성이 변하는 항적 데이터를 분석하기에 적합한 방법이며, 실제 목포항에서 수집된 항적 데이터를 이용한 실험을 수행하였다. 실험에서는 시간대별 교통 밀도와 중심점 분석을 수행하였고, 이를 통해 해상교통의 공간적 변화를 쉽게 식별할 수 있었으며, 제안하는 방법이 해상교통 분석법으로 활용될 수 있음을 확인하였다.

• 한국측량학회:학술대회논문집
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• 한국측량학회 2007년도 춘계학술발표회 논문집
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• pp.243-248
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• 2007

This study proposed a procedure to improve the error defection of attached cadastral maps using digital map data. In addition, this study also provided the direction for the accuracy improvement of attached cadastral maps by comparing analysis methods. - such as centroid, Lee Sallee shape index, and area index. The analysis is performed as follows. First, by using centroid measurement, the center point of cadastral maps and attached cadastral maps are compared. Secondly by using Lee Sallee shape measurement, the location accuracy of range area is investigated. Thirdly, by using area measurement, the range area within allowable error scope is verified. Based on analysis, the discrepancy between cadastral maps and the attacked cadastral maps are detected as follows; 98.2% from Lee Sallee shape index, 41.8% from centroid, 15.4% from area index in the whole error.

• Journal of information and communication convergence engineering
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• 제9권6호
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• pp.661-665
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• 2011

This paper presents the method for the extraction of the lungs part from the other parts for the diagnostic of the lungs part. The proposed method is based on the calculation of the connected component and the centroid of the image. Connected Component labeling is used to label the each objects in the binarized image. After the labeling is done, centroid value is calculated for each object. The filing operation is applied which helps to extract the lungs part from the image retaining all the parts of the original lungs image. The whole process is explained in the following steps and experimental results shows it's significant.

• 한국통신학회논문지
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• 제24권10B호
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• pp.1946-1952
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• 1999

무지도 경쟁학습을 이용하여 압축된 영상의 복원 후에 나타나는 테두리부분의 손상을 최소화하기 위한 영상압축 방법이 제안되었다. 제안된 영상압축방법은 영상데이터에서 테두리부분에 해당하는 데이터의 기하학적인 특징을 이용하는데, 영상데이터의 통계학적인 특성을 함께 이용하여 기존의 Centroid Neural Network을 일반화시키는 무지도 경쟁학습에 의하여 자동적으로 더욱 많은 code vector를 테두리부분에 배정함으로서 압축된 영상의 복원 후에 나타나는 테두리부분의 손상을 초소화하게 한다. 실험 결과, 기존의 SOM, M-SOM, M/R-CNN등과 비교하여 제안된 방법에 의해 압축된 영상의 복원된 테두리 부분에서 PSNR이 약 2dbv정도 향상된 결과를 보여줄 수 있었다.

• 대한수학회보
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• 제52권2호
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• pp.571-579
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• 2015

Archimedes showed that the area between a parabola and any chord AB on the parabola is four thirds of the area of triangle ${\Delta}ABP$, where P is the point on the parabola at which the tangent is parallel to the chord AB. Recently, this property of parabolas was proved to be a characteristic property of parabolas. With the aid of this characterization of parabolas, using centroid of triangles associated with a curve we present two conditions which are necessary and sufficient for a strictly locally convex curve in the plane to be a parabola.

• 한국정밀공학회지
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• 제16권7호
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• pp.125-131
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• 1999

In this paper, the algorithms which can track the two dimensional moving circular object using simple vision system are described. In order to track the moving object, the process of finding the object feature points - such as centroid of the object, corner points, area - is indispensable. With the assumption of two-dimensional circular moving object, the centroid of the circular object is computed from three points on the object circumference. Different kinds of algorithms for computing three edge points - simple x directional detection method, stick method. T-shape method are suggested. Through the computer simulation and experiments, three algorithms are compared from the viewpoint of detection accuracy and computational time efficiency.

• 비파괴검사학회지
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• 제28권3호
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• pp.263-272
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• 2008

Many technical methods are used for nondestructive testing field for solid materials. Among those, ultrasonic inspection methods are widely used and one of the popular methods involves the extraction of an appropriate set of features followed by the use of a neural network for the classification of the signals in the feature space. This paper describes an approach which uses LMS method to determine the coordinates of the ultrasonic probe followed by the use of SAFT with centroid technique to estimate the location of the ultrasonic reflector. The method is employed for classifying UT-NDE signals from the steam generator tubes in a nuclear power plant. The classification results are presented for the ultrasonic signals from cracks and deposits within steam generator tubes.

• Journal of information and communication convergence engineering
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• 제16권1호
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• pp.6-11
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• 2018

It is important to find the random estimation points in wireless sensor network. A link quality indicator (LQI) is part of a network management service that is suitable for a ZigBee network and can be used for localization. The current quality of the received signal is referred as LQI. It is a technique to demodulate the received signal by accumulating the magnitude of the error between ideal constellations and the received signal. This proposed model accepts any number of random estimation point in the network and calculated its nearest anchor centroid node pair. Coordinates of the LQI sphere are calculated from the pair and are added iteratively to the initially estimated point. With the help of the LQI and weighted centroid localization, the proposed system finds the position of target node more accurately than the existing system by solving the problems related to higher error in terms of the distance and the deployment of nodes.

• 한국전산유체공학회:학술대회논문집
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• 한국전산유체공학회 2008년도 학술대회
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• pp.334-336
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• 2008

A novel adaptive mesh refinement (AMR) strategy based on the Moment-of-Fluid (MOF) method for volume-tracking dynamic interface computation is presented. The Moment-of-Fluid method is a new interface reconstruction and volume advection method using volume fraction as well as material centroid. The mesh refinement is performed based on the error indicator, the deviation of the actual centroid obtained by interface reconstruction from the reference centroid given by moment advection process. Using the AMR-MOF method, the accuracy of volume-tracking computation with evolving interfaces is improved significantly compared to other published results.

• 한국전산유체공학회:학술대회논문집
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• 한국전산유체공학회 2008년 추계학술대회논문집
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• pp.334-336
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• 2008

A novel adaptive mesh refinement (AMR) strategy based on the Moment-of-Fluid (MOF) method for volume-tracking dynamic interface computation is presented. The Moment-of-Fluid method is a new interface reconstruction and volume advection method using volume fraction as well as material centroid. The mesh refinement is performed based on the error indicator, the deviation of the actual centroid obtained by interface reconstruction from the reference centroid given by moment advection process. Using the AMR-MOF method, the accuracy of volume-tracking computation with evolving interfaces is improved significantly compared to other published results.