• Title/Summary/Keyword: ITS 영역

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GaAs MESFET Model using Channel-length Modulation (채널길이변조를 이용한 GaAs MESFET 모델)

  • 이상흥;이기준
    • Journal of the Korean Institute of Telematics and Electronics T
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    • v.35T no.1
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    • pp.14-21
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    • 1998
  • In the conventional GaAs MESFET circuit simulation, the DC and transient simulation results are often failed due to the discontinuities of the first and second order derivatives arising from the use of separate models in linear, saturation, and transition regions. In this paper, we propose a unified drain current-voltage model by using a unified channel length modulation effect that is derived by extending the channel length modulation effect in the saturation region to the linear region. Calculated results from the proposed drain current-voltage model agree well with the results of Shur model. Also, we propose a unified capacitance model for linear, transition, and saturation regions by using a unified channel length modulation effect. Its results from the proposed capacitance model agree well with 2-D device simulation results. Thus, the proposed models are expected to be useful in circuit simulations.

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On the Improved Numerical Method for Hydrodynamic Forces Acting on an Arbitrary Cylinder in the Time Domain (2차원 주상체의 강제 동요시 동유체력의 시간 영역 해석법에 관하여)

  • Y.S.,Shin;K.P.,Rhee
    • Bulletin of the Society of Naval Architects of Korea
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    • v.27 no.1
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    • pp.63-72
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    • 1990
  • The linear hydrodynamic forces, acting on a forced oscillating cylinder from its mean position on a free surface with a small amplitude, are calculated in the time domain. The integral equation method using a time dependent Green function is employed. The numerical results for the heaving and swaying circular cylinder are shown and give good agreements with others Furthermore it is shown that the use of the Green function, which is expressed by a series expansion or asymptotic expansion according to time range, reduces computing time greatly.

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CT 영상에서의 간 영역 추출 및 간 종양 분석

  • Jang Do-Won;Lim Eun-Kyung;Kim Chang-Won;Kim Min-Hwan;Kim Kwang-Baek
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2006.06a
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    • pp.183-192
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    • 2006
  • 간세포암은 우리나라에서 전체 암사망자 중 17.2%로 3번째의 흔한 사망원인이며, 간암에 의한 사망률은 인구 10만 명당 약 21명에 이른다. 본 논문에서는 간 내부에서 발생하는 간세포암을 CT 영상에서 자동으로 추출하는 방법을 제안하여 간세포암의 보조진단으로서의 유용성에 대해 알아보고자 한다. 간 내부의 종양을 추출하기 위해 흉부의 윗부분에서 시작하여 2.5mm의 간격으로 약 45-50장 정도를 촬영한 CT 영상들을 대상으로 먼저 간 영역을 추출한다. 간 영역 추출은 먼저 관심이 없는 외부 영역을 갈비뼈를 중심으로 제거한 후 영상의 밝기 정보를 이용하여 각 기관의 영역을 분할 한다. 분할된 영역들은 위 아래로 인접한 영상에서의 분할 영역들과 밝기 값을 비교하여 적절하게 병합하는 3차원적 접근방법을 사용한다. 간 영역은 여러개의 영역들 중에서 간 영역의 구조 및 위치 등의 정보를 활용하여 추출한다. 추출된 간 영역에서 종양 판별과 추출을 위해 종양이 가지는 특징을 분석하여 종양을 추출한다. 전형적인 간세포암은 과혈관성 종양이므로 조영증강 CT 영상에서 주위보다 밝은 색으로 나타나며, 팽창 형성장을 보일 경우에는 구형으로 나타나는 특징이 있다. 이에, 주위 보다 밝은 색을 가지고 둥근형태를 가지는 영역을 종양의 후보영역으로 선정한 후, 그 영상의 위와 아래로 연결되는 영상에서도 같은 위치에서 같은 특징을 보이는 영역이 있으면 간 내부의 종양으로 판별하여 추출한다. 제안된 간 영역 및 간 종양 추출 방법의 정확성을 판별하기 위하여 CT 영상을 대상으로 실험하여 영상의학 전문의가 판단한 결과와 비교하였다. 간 영역 추출은 정확히 모두 추출되었으며, 간 종양 추출 및 판별은 전문의의 보조 진단도구로 활용할 수 있는 가능성이 매우 높다는 것을 확인할 수 있었다.emantic Similarity Measure 등을 단계적으로 수행하여 자동화되고 정확한 규칙식별을 하고자 한다. 이러한 방법들의 조합으로 인하여 규칙구성요소 추출이 되지 않을 후보 단어들의 수를 줄여서 보다 더 정확하고, 지능적인 규칙구성요소 추출 방법론을 제시하고 구현하여 지식관리자의 규칙습득에 대한 부담을 줄여 주고자 한다. 도움을 받을 수 있게 되었다.을 거치도록 되어있다. 교통주제도는 국가의 교통정책결정과 관련분야의 기초자료로서 다양하게 활용되고 있으며, 특히 ITS 노드/링크 기본지도로 활용되는 등 교통 분야의 중요한 지리정보로서 구축되고 있다..20{\pm}0.37L$, 72시간에 $1.33{\pm}0.33L$로 유의한 차이를 보였으므로(F=6.153, P=0.004), 술 후 폐환기능 회복에 효과가 있다. 4) 실험군과 대조군의 수술 후 노력성 폐활량은 수술 후 72시간에서 실험군이 $1.90{\pm}0.61L$, 대조군이 $1.51{\pm}0.38L$로 유의한 차이를 보였다(t=2.620, P=0.013). 5) 실험군과 대조군의 수술 후 일초 노력성 호기량은 수술 후 24시간에서 $1.33{\pm}0.56L,\;1.00{\ge}0.28L$로 유의한 차이를 보였고(t=2.530, P=0.017), 술 후 72시간에서 $1.72{\pm}0.65L,\;1.33{\pm}0.3L$로 유의한 차이를 보였다(t=2.540, P=0.016). 6) 대상자의 술 후 폐환기능에 영향을 미치는 요인은 성별로 나타났다. 이에 따른 폐환기능의 차이를 보면, 실험군의 술 후 노력성 폐활량이 48시간에 남자($1.78{\pm}0.61L$)가 여자(

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Parallel Finite Element Analysis System Based on Domain Decomposition Method Bridges (영역분할법에 기반을 둔 병렬 유한요소해석 시스템)

  • Lee, Joon-Seong;Shioya, Ryuji;Lee, Eun-Chul;Lee, Yang-Chang
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.22 no.1
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    • pp.35-44
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    • 2009
  • This paper describes an application of domain decomposition method for parallel finite element analysis which is required to large scale 3D structural analysis. A parallel finite element method system which adopts a domain decomposition method is developed. Node is generated if its distance from existing node points is similar to the node spacing function at the point. The node spacing function is well controlled by the fuzzy knowledge processing. The Delaunay triangulation method is introduced as a basic tool for element generation. Domain decomposition method using automatic mesh generation system holds great benefits for 3D analyses. Aa parallel numerical algorithm for the finite element analyses, domain decomposition method was combined with an iterative solver, i.e. the conjugate gradient(CG) method where a whole analysis domain is fictitiously divided into a number of subdomains without overlapping. Practical performance of the present system are demonstrated through several examples.

Quad-tree Segmentation using Fractal Dimension based on Accurate Estimation of Noise and Its Application (잡음의 정확한 추정 기반 프랙탈 차원 쿼드트리 영역분할과 응용)

  • Koh, Sung-Shik;Kim, Chung-Hwa
    • Journal of the Institute of Electronics Engineers of Korea TE
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    • v.39 no.3
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    • pp.35-41
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    • 2002
  • There are many image segmentation methods having been published as the results of research so far, but it is difficult to be partitioned to each similar range that should be extracted into the accurate parameters of image information on the images with noises. Also if it is used to fractal coding, according to amount of noise in image, the image segmentation leads to decreasing of the compression ratio. In this paper, we propose the new quad-tree image segmentation using the box-counting dimension which can estimate the effective image information parameters against the noise properties and apply this method to fractal image coding. As the result of simulation, we confirm that the image segmentation is improved to 31.10% for parameter detection of image information and compression ratio is enhanced to 38.93% for fractal image coding when tested on 10% Gaussian white noise image by the proposed quad-tree method compared with method using existing quad-tree. 

Constructing 3-year-old classroom with role play areas based on field-trips (현장학습을 중심으로 구성해가는 만 3세 교실의 역할 놀이 영역)

  • Suh, Hye Jeong;Han, Ye Hee
    • Korean Journal of Childcare and Education
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    • v.6 no.2
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    • pp.83-115
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    • 2010
  • The purpose of this study is to reveal the insights that teachers has learned through developing preschooler's classroom into field-trip-oriented ones with role play areas. The data of this study was collected from participatory observation and in-depth interviews, which included videos, photos, teachers' journal, descriptive questionnaire, and interview records. The whole process of organizing role-play oriented class was composed of four steps: activities before the trip, activities on-the-spot, activities after the trip, and its evaluation. Firstly, activities before the trip were making the lists of questions, deciding children who ask the questions, making rules on the trip, understanding the purpose of the trip. Secondly, on-the-spot activities included having a tour of the place and asking the questions. Thirdly, activities after the trip was constructing the classroom into small real world with various sections. This required the teachers to reflect the field trips, make plans how to construct, prepare for the data, and furnish the classroom with role-play areas. In the process of furnishing the classroom with small real world, the field trips played a big role as the learning opportunities for language development, and keeping public rules.

Validity Review of Mixed Convection Flow Regime Map in Vertical Cylinders (수직 원형관내 혼합대류 유동영역지도의 유효성 검토)

  • Kang, Gyeong-Uk;Kim, Hyoung-Jin;Yoon, Si-Tae;Chung, Bum-Jin
    • Journal of Energy Engineering
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    • v.23 no.3
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    • pp.27-35
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    • 2014
  • The existing flow regime map on mixed convection in vertical cylinders was investigated through an analysis of original literatures and its re-formation. The original literatures related to the existing map were reviewed. Using the investigated data and heat transfer correlations, the map was redrawn independently, and compared with the existing map. The redrawn map showed that mixed convection regime was not curved lines but straight lines and the transition regime was unable to be reproduced. Unlike the existing map with a little data, there are lots of data in the redrawn map. The reviews revealed that the existing map used the data selectively among the experimental and theoretical results, and a detailed description for lines forming mixed convection and transition regime was not provided. While considerable studies on mixed convection have been performed since that of Metais and Eckert, the existing map has still been used as the best method to distinguish natural, forced and mixed convection regime.

An Efficient Approximation method of Adaptive Support-Weight Matching in Stereo Images (스테레오 영상에서의 적응적 영역 가중치 매칭의 효율적 근사화 방법)

  • Kim, Ho-Young;Lee, Seong-Won
    • Journal of Broadcast Engineering
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    • v.16 no.6
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    • pp.902-915
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    • 2011
  • Recently in the area-based stereo matching field, Adaptive Support-Weight (ASW) method that weights matching cost adaptively according to the luminance intensity and the geometric difference shows promising matching performance. However, ASW requires more computational cost than other matching algorithms do and its real-time implementation becomes impractical. By applying Integral Histogram technique after approximating to the Bilateral filter equation, the computational time of ASW can be restricted in constant time regardless of the support window size. However, Integral Histogram technique causes loss of the matching accuracy during approximation process of the original ASW equation. In this paper, we propose a novel algorithm that maintains the ASW algorithm's matching accuracy while reducing the computational costs. In the proposed algorithm, we propose Sub-Block method that groups the pixels within the support area. We also propose the method adjusting the disparity search range depending on edge information. The proposed technique reduces the calculation time efficiently while improving the matching accuracy.

Division of Work Regions for Operating the Yard in a Container Terminal (작업 영역 구분을 이용한 컨테이너 터미널의 장치장 운영 전략)

  • Ahn, Eun-Yeong;Park, Tae-Jin;Ryu, Kwang-Ryel
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2007.12a
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    • pp.335-336
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    • 2007
  • This paper propose a heuristic method that divides the block into some work regions to operate stacking cranes efficiently in a automated container terminal where the blocks with non-crossing stacking cranes(SC) are laid out in perpendicular to the quay. Typically, fund over between SCS and trucks occur at each side if the blocks, and each if the landside and seaside SCS is responsible for the jobs that occur at its own side. When a container to be fetched is located far from fund over point, the SC should move a long distance and the interference between the two cranes am occur, which decreases the productivity of the SCS. Therefore, our method divides the block into two exclusive and one shared regions and let the containers located far from their fund over points to be transferred to the shared region by the other side crane before they are carried out. Although simple this method am reduce the crane movement and the interference between the two cranes. Simulation experiment shows that our proposed method significantly improves the productivity if the container terminal than previous heuristic that does not divide work regions.

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Feature Extraction by Line-clustering Segmentation Method (선군집분할방법에 의한 특징 추출)

  • Hwang Jae-Ho
    • The KIPS Transactions:PartB
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    • v.13B no.4 s.107
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    • pp.401-408
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    • 2006
  • In this paper, we propose a new class of segmentation technique for feature extraction based on the statistical and regional classification at each vertical or horizontal line of digital image data. Data is processed and clustered at each line, different from the point or space process. They are designed to segment gray-scale sectional images using a horizontal and vertical line process due to their statistical and property differences, and to extract the feature. The techniques presented here show efficient results in case of the gray level overlap and not having threshold image. Such images are also not easy to be segmented by the global or local threshold methods. Line pixels inform us the sectionable data, and can be set according to cluster quality due to the differences of histogram and statistical data. The total segmentation on line clusters can be obtained by adaptive extension onto the horizontal axis. Each processed region has its own pixel value, resulting in feature extraction. The advantage and effectiveness of the line-cluster approach are both shown theoretically and demonstrated through the region-segmental carotid artery medical image processing.