• Fisheries and Aquatic Sciences
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• 제4권1호
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• pp.1-9
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• 2001

This paper describes a procedure extracting feature vector of a target cell more precisely in the case of identifying specified cell. The classification of object type is based on feature vector such as area, complexity, centroid, rotation angle, effective diameter, perimeter, width and height of the object So, the feature vector plays very important role in classifying objects. Because the feature vectors is affected by noises and holes, it is necessary to remove noises contaminated in original image to get feature vector extraction exactly. In this paper, we propose the following method to do to get feature vector extraction exactly. First, by Otsu's optimal threshold selection method and morphological filters such as cleaning, filling and opening filters, we separate objects from background an get rid of isolated particles. After the labeling step by 4-adjacent neighborhood, the labeled image is filtered by the area filter. From this area-filtered image, feature vector such as area, complexity, centroid, rotation angle, effective diameter, the perimeter based on chain code and the width and height based on rotation matrix are extracted. To prove the effectiveness, the proposed method is applied for yeast Zygosaccharomyces rouxn. It is also shown that the experimental results from the proposed method is more efficient in measuring feature vectors than from only Otsu's optimal threshold detection method.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.1787-1790
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• 2005

We have developed satellite devices for fine attitude control of the Science & Technology Satellite-2 (STSAT-2) scheduled to be launched in 2007. The analog sun sensors which have been continuously developed since the 1990s are not adequate for satellites which require fine attitude control system. From the mission requirements of STSAT-2, a compact, fast and fine digital sensor was proposed. The test of the fine attitude determination for the pitch and roll axis, though the main mission of STSAT-2, will be performed by the newly developed FDSS. The FDSS use a CMOS image sensor and has an accuracy of less than 0.01degrees, an update rate of 20Hz and a weight of less than 800g. A pinhole-type aperture is substituted for the optical lens to minimize the weight while maintaining sensor accuracy by a rigorous centroid algorithm. The target process speed is obtained by utilizing the Field Programmable Gate Array (FPGA) in acquiring images from the CMOS sensor, and storing and processing the data. This paper also describes the analysis of the optical performance for the proper aperture selection and the most effective centroid algorithm.

• 전자공학회논문지 IE
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• 제46권3호
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• pp.19-25
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• 2009

본 논문에서는 구 좌표계를 이용하여 위치에 대한 불변 특징을 획득할 수 있는 문자 특징 추출 방법을 제시하고자 하였으며, 획득한 문자 특징 정보를 이용하여 해당 문자를 영상 중심으로 이동시켜 인식이 가능하도록 하는 시스템을 제안하고자 하였다. 또한 영상 중심에 이동시키는 방법으로 좌표 평균값에 의한 중심 이동법을 사용하여 인식에 필요한 시스템을 구현하였으며, 추출된 특징에 대하여 특징의 이질도를 검사하여, 각 특징의 이질도가 평균 78.14% 이상의 결과를 얻었다. 본 논문에서는 문자 인식을 위하여 구 좌표계를 이용한 문자 특징 추출 방법을 제시하였으며, 무게 중심법을 이용하여 문자를 중앙에 처리한 상태에서 이질도를 알아봄으로서 인식 가능한 형태의 문자 형태를 얻을 수 있는 가능성을 제시하였다.

• Computers and Concrete
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• 제5권1호
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• pp.1-20
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• 2008

In this study, the effects and the interactions of water content, SP-binder ratio, and water-binder ratio on the workability performance of concrete were investigated. The experiments were designed based on flatted simplex-centroid experiment design modified from standard simplex-centroid one. The data gotten from the design was used to build the concrete slump model using neural networks. Research reported in this paper shows that a small number of slump experiments can be performed and meaningful data obtained with the experiment design. Such data would be suitable for building slump model using neural networks. The trained network can be satisfactorily used for exploring the effects of the components and their interactions on the workability of concrete. It has found that a high water content and a high SP/b ratio is essential for high workability, but achieving this by increasing these parameters will not in itself guarantee high workability. The w/b played a very important role in producing workability and had rather profound effects; however, the medium value about 0.4 is the best w/b to reach high slump without too much effort on trying to find the appropriate water content and SP/b.

• 전자공학회논문지CI
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• 제39권2호
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• pp.21-34
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• 2002

구조화된 환경에서 사용되어 지는 일반적인 이동 로봇과 달리 시각장애인을 위한 이동 로봇은 다양한 종류의 이동 장애물들을 고려하도록 설계되어야 한다. 그런데, 이동 장애물, 즉 보행자의 대부분은 어떤 의도를 가지고 이동하게 되므로 로봇이 그 의도를 미리 파악하면서 주행한다면 로봇은 지능적인 주행을 할 수가 있다. 본 논문에서는 격자형 맵을 이용하여 장애물의 의도를 추론하는 방법을 제안하다. 먼저 퍼지 논리와 초음파 센서를 이용하여 주위 환경을 격자형 맵으로 표현하고, 격자형 맵의 CLA(Centroid of Largest Area)점을 이용한 장애물 감지 방법 및 장애물 의도 추론 방법을 제안한다. 제안된 방법의 유용성을 확인하기 위해 실험이 수행되었다.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 2006년도 정기 학술대회 논문집
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• pp.1033-1039
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• 2006

To overcome the drawback of currently available curved beam theories having non-symmetric thin-walled cross sections, a curved beam theory based on centroid-shear center formulation is presented for the spatially coupled free vibration and elastic analyses. For this, the elastic strain and kinetic energies considering the thickness-curvature effect and the rotary inertia of curved beam are derived by degenerating the energies of the elastic continuum to those of curved beam. And then the equilibrium equations and the boundary conditions are consistently derived for curved beams having non-symmetric thin-walled cross section. It is emphasized that for curved beams with L- or T-shaped sections, this thin-walled curved beam theory can be easily reduced to tl1e solid beam theory by simply putting the sectional properties associated with warping to zero. In order to illustrate the validity and the accuracy of this study, FE solutions using the Hermitian curved beam elements are presented and compared with the results by previous research and ABAQUS's shell elements.

• 천문학회보
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• 제42권1호
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• pp.29.4-30
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• 2017

Korea Astronomy and Space Science Institute We present a weak-lensing study of the galaxy cluster SPT-CL J2106-5844 at z=1.132 discovered in the South Pole Telescope Sunyaev-Zel'dovich (SPT-SZ) survey. The cluster is claimed to be the most massive system at z > 1 in the SPT-SZ survey. The inferred mass ($M_{200c}=(1.27{\pm}0.21){\times}10^{15}M_{sun}$) is somewhat unusual at such a high redshift given the current ΛCDM prediction. The mass estimates, however, may be biased because the hydrostatic assumption may not hold when the universe was about 40% of the current age. In this work, we reconstruct the dark matter distribution and measure the mass of this interesting cluster using weak-lensing analysis based on the images from the Advanced Camera for Surveys and Wide Field Camera 3 on-board the Hubble Space Telescope. We find that the mass distribution of the cluster is unimodal with no significant substructures. The centroid of the dark matter agrees with both galaxy luminosity and number density distributions, as well as the hot gas centroid. We confirm that the cluster is indeed extremely massive ($M_{200c}=(1.81{\pm}0.47){\times}10^{15}M_{sun}$) supporting the previous non-lensing measurements. We also discuss the rarity of the cluster in the ΛCDM cosmology, comparing with the expected abundance of similarly massive clusters.

• 전자공학회논문지CI
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• 제45권6호
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• pp.11-17
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• 2008

본 논문은 유비쿼터스 센서 네트워크에서 센트로이드 위치 인식 방법을 개선하여 저전력 위치인식 방법을 제안하였다. 기존의 지그비 단말 위치 인식은 3개의 비컨으로부터 받아들여지는 RSSI 값을 활용하는 방법이었다. 그러나 보행자가 노드가 되어 움직일 때, USN 단말의 움직임 속도는 빠르지 않다. 따라서 세 지점 중 한 지점의 RSSI 값을 바로 이전에 받았던 값을 이용하여도 오차 범위는 크지 않다. 이러한 핸드오프를 이용하여 기존 방식보다 약 30%의 전력 이득을 보고, 색상에 의한 노드 영역 검색이 가능한 모니터링 시스템을 구현하였다.

• 한국정보과학회논문지:소프트웨어및응용
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• 제32권11호
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• pp.1013-1020
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• 2005

본 논문은 모양 특성을 이용한 효과적인 식물 잎 이미지 검색 시스템을 제시한다. 잎 이미지의 더 효과적인 표현을 위해 개선된 MPP 알고리즘을 제안하고, 매칭에 소요되는 시간을 줄이기 위해 기존의 Nearest Neighbor(NN) 검색을 수정한 동적인 매칭 알고리즘을 제시한다. 특히, 더 나은 정확율과 효율성을 위해, 잎 모양과 잎차례를 스케치하여 질의할 수 있도록 하였다. 실험에서는 제안한 알고리즘과 기존의 알고리즘인 CCD(Centroid Contour Distance), Fourier Descriptor. Curvature Scale Space Descriptor (CSSD), Moment Invariants, MPP와 비교하였다. 1000여개의 식물 잎 이미지를 통한 실험결과는 제안한 방법이 기존의 기법보다 더 좋은 성능임을 보였다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 ITC-CSCC -3
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• pp.1936-1939
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• 2002

Much recent attention on wireless technologies s put on topology-less wireless network, in which all nodes an be mobile and can communicate over wireless links, due to its ease of deployment, high flexibility and low expenses. One key in topology-less wireless network is mobile base stations (MBSs), which provides access points or mobile terminals (MTs) to wireless backbone network. MBSs can move to anywhere in accordance with changes in geographical distribution of MTs. They serve as dynamic odes. However, in order to utilize network resources and take full advantage of this topology-less network, MBSs must move to suitable position according to the current tate of network use. Moreover, MBSs have to consider the distance among them to avoid the crash and gap area of MBSs. Therefore, this paper proposes MBS movement algorithm by implementing push-pull method to fulfill the corporation of MBSs and considering the center of covered MTs or centroid to satisfy the MT coverage. From the simulation results, the proposed algorithm increases the performance of system when comparing with the centroid-based algoriom〔7〕, such as coverage area, MT coverage and call drops rate.