• Title/Summary/Keyword: 경계교차점

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Numerical Analysis of Flow Interference at Discontinuity Junction of fracture Network (단열교차점에서 유체간섭에 관한 수치적 고찰)

  • 박영진;이강근;이승구
    • Journal of the Korean Society of Groundwater Environment
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    • v.4 no.3
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    • pp.111-115
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    • 1997
  • Discrete fracture model has become one of the alternatives for the classical continuum model to simulate the irregular aspects of the fluid flow and the solute transport in fractured rocks. It is based on the assumptions that the discharge in a single fracture is proportional to the cube of the aperture and the fractured rock can be represented by the statistical assemblage of such single fractures. This study is intended to evaluate the effect of the fracture junction on the cubic law. Numerical solution of flow in junction system was obtained by using the Boundary-Fitted Coordinate System (BFCS) method. Results with different intersection angles in crossing fractures show that the geometry of the junction affects the discharge pattern under the same simulation conditions. Therefore, strict numerical and experimental examinations on this subject are required.

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Development of a CNN-based Cross Point Detection Algorithm for an Air Duct Cleaning Robot (CNN 기반 공조 덕트 청소 로봇의 교차점 검출 알고리듬 개발)

  • Yi, Sarang;Noh, Eunsol;Hong, Seokmoo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.8
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    • pp.1-8
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    • 2020
  • Air ducts installed for ventilation inside buildings accumulate contaminants during their service life. Robots are installed to clean the air duct at low cost, but they are still not fully automated and depend on manpower. In this study, an intersection detection algorithm for autonomous driving was applied to an air duct cleaning robot. Autonomous driving of the robot was achieved by calculating the distance and angle between the extracted point and the center point through the intersection detection algorithm from the camera image mounted on the robot. The training data consisted of CAD images of the duct interior as well as the cross-point coordinates and angles between the two boundary lines. The deep learning-based CNN model was applied as a detection algorithm. For training, the cross-point coordinates were obtained from CAD images. The accuracy was determined based on the differences in the actual and predicted areas and distances. A cleaning robot prototype was designed, consisting of a frame, a Raspberry Pi computer, a control unit and a drive unit. The algorithm was validated by video imagery of the robot in operation. The algorithm can be applied to vehicles operating in similar environments.

Geophysical Imaging of Alluvial Water Table and the underlying Layers of Weathered and Soft Rocks (충적층 지하수면 및 그 하부의 풍화암/연암의 경계면 파악을 위한 복합 지구물리탐사)

  • Ju, Hyeon-Tae;Lee, Chul-Hee;Kim, Ji-Soo
    • The Journal of Engineering Geology
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    • v.25 no.3
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    • pp.349-356
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    • 2015
  • Although geophysical methods are useful and generally provide valuable information about the subsurface, it is important to recognize their limitations. A common limitation is the lack of sufficient contrast in physical properties between different layers. Thus, multiple methods are commonly used to best constrain the physical properties of different layers and interpret each section individually. Ground penetrating radar (GPR) and shallow seismic reflection (SSR) methods, used for shallow and very shallow subsurface imaging, respond to dielectric and velocity contrasts between layers, respectively. In this study, we merged GPR and SSR data from a test site within the Cheongui granitic mass, where the water table is ~3 m deep all year. We interpreted the data in combination with field observations and existing data from drill cores and well logs. GPR and SSR reflections from the tops of the sand layer, water table, and weathered and soft rocks are successfully mapped in a single section, and they correlate well with electrical resistivity data and SPS (suspension PS) well-logging profiles. In addition, subsurface interfaces in the integrated section correlate well with S-wave velocity structures from multi-channel analysis shear wave (MASW) data, a method that was recently developed to enhance lateral resolution on the basis of CMP (common midpoint) cross-correlation (CMPCC) analysis.

해상 pedestal 크레인 메인 붐의 좌굴을 고려한 상세설계에 대한 연구

  • Kim, Chan-Seok
    • Proceeding of EDISON Challenge
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    • 2015.03a
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    • pp.191-196
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    • 2015
  • 해상 pedestal 크레인은 각종 운송물을 선박에 싣거나 내리는 해상 운송에 필수적인 장비이다. 따라서 구조적 안전성을 가지는 크레인 설계가 요구된다. 그의 일환으로 수행된 '해상 pedestal 크레인의 설계 개선을 위한 연구'에서는 기존 크레인의 기초 설계에 대해서 구조적 안전성올 평가하여 개선 방안을 제시하였다. 또한 좌굴 안정성 향상을 위한 보강재 설계를 수행하였다. 하지만 상세설계 관점에서 미비한 점이 있어 이를 보완할 필요성이 있다. 안전성 평가를 위해 필요한 응력을 계산하기 위해 EDISON-CSD프로그램을 통해 유한요소모델 해석을 활용한 구조해석을 수행하였다. 효율적인 해석을 위해 상세설계에 필요한 부분영역을 선택하여 모델링 하였으며 전체영역에서의 해석 결과 값을 등가 힘, 등가 모멘트로 환산하여 경계조건으로 부여하였다. 보강재간의 교차점 형상이 안전성에 미치는 영향을 보기위해 stiffener와 diaphragm의 교차점 형상(반원, 정사각형, 사다리꼴)에 따라 안전성 평가를 수행하였고, 안전 여유의 유효한 차이를 보이지 않음을 확인하였다. 평가에 필요한 응력계산을 위해 또한 Diaphragm의 좌굴에 대한 영향을 고려하기 위해 설계 규격 DNV-RP-201 8장(Buckling of girders)을 분석하였고, 안전성 평가에 반영하였다. 또한 실제 현장에서 보편적으로 사용되는 angle 형상 stiffener의 치수 도출을 위해 최적설계를 수행하였고, 모든 설계 제한조건을 만족하면서 최소의 무게를 가지는 합리적인 치수를 도출하였다.

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A Hierarchical Representation Scheme without Self-Intersection for Planar Shapes (평면 형상에 대한 꼬임의 발생이 배제된 계층적 표현)

  • 허봉식;김성옥;김민환
    • Proceedings of the Korea Multimedia Society Conference
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    • 2001.11a
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    • pp.854-858
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    • 2001
  • 본 논문에서는 평면 형상에 대한 꼬임(self-intersection)의 발생을 배제한 계층적 표현을 제안하였다. 기존의 계층적 표현들에서는 실제 활용에 많은 문제를 초래하는 꼬인 형상의 발생을 피할 수 없으며, 이는 반드시 제거될 필요가 있다. 그러나 n개의 점으로 구성된 형상의 고임 문제를 해결하는 데는 O(n$^2$)의 계산량이 요구되므로, 본 논문에서는 계층적 지역화의 경계 영역간 교차 상태를 나타내는 cross-link 개념을 도입하여 효율적으로 해결할 수 있는 꼬임 해결 알고리즘을 제안하고 실험을 통해 그 효율성을 확인하였다.

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Constant Time RMESH Algorithms for Polygon Intersection Problems (다각형 교차 문제를 위한 상수 시간 재구성메쉬 알고리즘)

  • Kim, Su-Hwan
    • Journal of KIISE:Computer Systems and Theory
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    • v.26 no.11
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    • pp.1344-1352
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    • 1999
  • 본 논문에서는 두 단순 다각형의 교차 영역을 구하는 문제를 재구성메쉬(RMESH) 상에서 상수 시간에 해결하는 두 개의 알고리즘을 제시한다. 먼저, 두 다각형이 모두 볼록 다각형일 때, N$\times$N RMESH에서 상수 시간에 교차 영역을 구하는 알고리즘을 제시한다, 여기서 N은 두 다각형의 정점의 개수의 합이다. 그리고, 두 일반적인 단순 다각형의 교차 영역을 구하는 문제에 대해서 (N+T)$\times$(N+T)2 RMESH에서 수행되는 상수 시간 알고리즘을 제시한다, 여기서 T는 최악의 경우 두 다각형의 경계선 상의 교차점의 개수로서 두 다각형의 정점의 개수가 각각 n과 m일 때 n.m에 해당한다. 두 다각형 중 하나가 볼록 다각형인 경우는 T = 2.max{n, m}이다. 이 알고리즘은 두 다각형의 모든 교차 영역 조각들을 구한 후 RMESH의 0번째 열에 차례로 배치해 준다. Abstract In this paper, we consider two constant time algorithms for polygon intersection problems on a reconfigurable mesh(in short, RMESH). First, we present a constant time algorithm for computing the intersection of two convex polygons on an N$\times$N RMESH, where N is the total number of vertices in both polygons. Second, we present a constant time algorithm for computing the intersection of two simple polygons on an (N+T)$\times$(N+T)2 RMESH, where T is the worstcase number of intersection points between the boundaries of them. T = n m, where n and m are the numbers of vertices of two polygons respectively. If either of them is convex, then T = 2 max{n,m}. The algorithm computes the intersection of them, and then arranges each intersection component onto the 0-th column of the mesh.

Local Heat Transfer Characteristics in the Wake Region of a Circular Cylinder (원형 실린더 후류 영역의 국소 열전달 특성)

  • Chang Byong Hoon
    • Journal of Energy Engineering
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    • v.14 no.1
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    • pp.30-36
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    • 2005
  • This paper reports the experimental study of the heat transfer characteristics of the wake region behind a cylinder in cross flow. Local heat transfer coefficient was measured from the stagnation point (θ=0°) to 180°, and the variation of Nu in the axial direction along the cylinder was also studied. The results show that the heft transfer rate at the rear (θ=180°) near the duct wall can increase as much as 58% over the 2 dimensional value at the center of the duct. The heat transfer profiles in the wake region also show distinct effects of the aspect ratio and the heat transfer boundary condition.

Real-time Forward Vehicle Detection Method based on Extended Edge (확장 에지 분석을 통한 실시간 전방 차량 검출 기법)

  • Ji, Young-Suk;Han, Young-Joon;Hahn, Hern-Soo
    • Journal of the Korea Society of Computer and Information
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    • v.15 no.10
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    • pp.35-47
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    • 2010
  • To complement inaccurate edge information and detect correctly the boundary of a vehicle in an image, an extended edge analysis technique is presented in this paper. The vehicle is detected using the bottom boundary generated by a vehicle and the road surface and the left and right side boundaries of the vehicle. The proposed extended edge analysis method extracts the horizontal edge by merging or dividing the nearby edges inside the region of interest set beforehand because various noises deteriorates the horizontal edge which can be a bottom boundary. The horizontal edge is considered as the bottom boundary and the vertical edges as the side boundaries of a vehicle if the extracted horizontal edge intersects with two vertical edges which satisfy the vehicle width condition at the height of the horizontal edge. This proposed algorithm is more efficient than the other existing methods when the road surface is complex. It is proved by the experiments executed on the roads having various backgrounds.

MBO-Tree: A Hierarchical Representation Scheme for Shapes with Natural Approximation and Effective Localization (MBO-Tree: 형상의 자연스러운 근사화와 효과적인 지역화를 지원하는 계층적 표현 방법)

  • 허봉식;김동규;김민환
    • Journal of Korea Multimedia Society
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    • v.5 no.1
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    • pp.18-27
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    • 2002
  • A hierarchical representation scheme for planar curves, MBO-tree, is proposed in this paper, which provides natural approximation and efficient localization. MBO-tree is based on the Douglas-Peucker algorithm (iterative end-point fit algorithm), but approximation errors that are stored with corresponding points in MBO-tree nodes and are used for abstraction measures are adjusted by force to eliminate unnatural approximation. The error adjusting is just making the approximation error of a node in a MBO-tree to be less than or equal to that of its parent. In point of localization, the bounding area of a curve is represented with a minimum bounding octangle (MBO), which can enclose the curve more compactly compared with those of other hierarchical schemes, such as the strip tree, the arc tree and the HAL tree. The MBO satisfies the hierarchical inclusion property that is useful for hierarchical geometrical operations, such as the point-inclusion test and the polygon intersection test. Through several experiments, we found that the proposed scheme was able to approximate more naturally and to localize more effectively.

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AVO analysis using crossplot and amplitude polynomial methods for characterisation of hydrocarbon reservoirs (탄화수소 부존구조 평가를 위한 교차출력과 진폭다항식을 이용한 AVO 분석)

  • Kim, Ji-Soo;Kim, Won-Ki;Ha, Hee-Sang;Kim, Sung-Soo
    • Geophysics and Geophysical Exploration
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    • v.14 no.1
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    • pp.25-41
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    • 2011
  • AVO analysis was conducted on hydrocarbon-bearing structures by applying the crossplot and offset-coordinate amplitude polynomial techniques. To evaluate the applicability of the AVO analysis, it was conducted on synthetic data that were generated with an anticline model, and field data from the hydrocarbon-bearing Colony Sand bed in Canada. Analysis of synthetic data from the anticline model demonstrates that the crossplot method yields zero-offset reflection amplitude and amplitude variation with negative values for the upper interface of the hydrocarbon-bearing layer. The crossplot values are clustered in the third quadrant. The results of AVO analysis based on the coefficients of the amplitude polynomial are similar to those from the crossplots. These well correlated results of AVO analysis on field and synthetic data suggest that both methods successfully investigate the characteristics of the reflections from the upper interface of a hydrocarbon-bearing layer. Analysis based on the incident-angle equation facilitates the application of various interpretation methods. However, it requires the conversion of seismic data to an incident angle gather. By contrast, analysis using coefficients of the amplitude polynomial is cost-effective because it allows examining amplitude variation with offset without involving the conversion process. However, it warrants further investigation into versatile application. The two different techniques can be complement each other effectively as AVO-analysis tools for the detection of hydrocarbon reservoirs.