• 제목/요약/키워드: 3D-SPACE

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Thermal Analysis of MIRIS Space Observation Camera for Verification of Passive Cooling

  • Lee, Duk-Hang;Han, Won-Yong;Moon, Bong-Kon;Park, Young-Sik;Jeong, Woong-Seob;Park, Kwi-Jong;Lee, Dae-Hee;Pyo, Jeong-Hyun;Kim, Il-Joong;Kim, Min-Gyu;Matsumoto, Toshio
    • Journal of Astronomy and Space Sciences
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    • v.29 no.3
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    • pp.305-313
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    • 2012
  • We conducted thermal analyses and cooling tests of the space observation camera (SOC) of the multi-purpose infrared imaging system (MIRIS) to verify passive cooling. The thermal analyses were conducted with NX 7.0 TMG for two cases of attitude of the MIRIS: for the worst hot case and normal case. Through the thermal analyses of the flight model, it was found that even in the worst case the telescope could be cooled to less than $206^{\circ}K$. This is similar to the results of the passive cooling test (${\sim}200.2^{\circ}K$). For the normal attitude case of the analysis, on the other hand, the SOC telescope was cooled to about $160^{\circ}K$ in 10 days. Based on the results of these analyses and the test, it was determined that the telescope of the MIRIS SOC could be successfully cooled to below $200^{\circ}K$ with passive cooling. The SOC is, therefore, expected to have optimal performance under cooled conditions in orbit.

A Study on Automatic Space Analysis for Plant Facilities Based on 3D Octree Argorithm by Using Laser Scanning Information

  • Kim, Donghyun;Kwon, Soonwook;Chung, Suwan;Ko, Hyunglyul
    • International conference on construction engineering and project management
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    • 2015.10a
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    • pp.667-668
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    • 2015
  • While the plant projects grow bigger and global attention to the plant is increasing, efficient space arrangement is not working in plant project because of the complex structure in installing the equipment unlike the construction project. In addition to this, presently, problem in installation process caused by the disagreement between floor plan and real spot is rising. Therefore the target of this research is to solve the problems and reaction differences, caused by changing the space arrangement in installing the equipment of plant construction. And this research suggests the equipment arrangement method for construction and related processes. To solve the problem, 3D cloud point data of space and equipment is collected by 3D laser scanning and the space matching is operated. In processing the space matching, data is simplified by applying the octree algorithm. This research simplifies the 3D configuration data acquired by 3D scanner equipment through the octree algorithm, and by comparing this data, identifies the space for target equipment, and finally suggests the algorithm that makes the auto space arrangement of equipment possible in construction site and also suggests the process to actualize this algorithm.

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Diagnosis of Rotator Cuff Tears with Non-Arthrographic MR Imaging: 3D Fat-Suppressed Isotropic Intermediate-Weighted Turbo Spin-Echo Sequence versus Conventional 2D Sequences at 3T

  • Hong, Won Sun;Jee, Won-Hee;Lee, So-Yeon;Chun, Chang-Woo;Jung, Joon-Yong;Kim, Yang-Soo
    • Investigative Magnetic Resonance Imaging
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    • v.22 no.4
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    • pp.229-239
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    • 2018
  • Purpose: To assess the diagnostic performance in detecting rotator cuff tears at 3T of non-arthrographic shoulder magnetic resonance imaging (MRI) using 3D isotropic turbo spin-echo (TSE-SPACE) sequence as compared with 2D sequences. Materials and Methods: Seventy-four patients who were arthroscopically confirmed to have underwent non-arthrographic shoulder MRI with 2D sequences and TSE-SPACE were included. Three independent readers retrospectively scored supraspinatus and infraspinatus tendon (SST-IST) and subscapularis tendon (SCT) tears on 2D sequences and TSE-SPACE. Results: The mean sensitivity, specificity, and accuracy of the three readers were 95%, 100%, and 95% on TSE-SPACE and 99%, 93%, and 98% on 2D sequences for detecting SST-IST tears, respectively, whereas those were 87%, 49%, and 68% on TSESPACE and 88%, 66%, and 77% on 2D sequences for detecting SCT tears, respectively. There was no statistical difference between the two sequences, except for in the specificity of one reader for detecting SCT tears. The mean AUCs of the three readers on TSE-SPACE and 2D sequences were 0.96 and 0.98 for detecting SST-IST tears, respectively, which were not significantly different, while those were 0.71 and 0.82 for detecting SCT tears, respectively, which were significantly different (P < 0.05). Conclusion: TSE-SPACE may have accuracy and reliability comparable to conventional 2D sequences for SST-IST tears at non-arthrographic 3T shoulder MRI, whereas TSE-SPACE was less reliable than conventional 2D sequences for detecting SCT tears.

A Study on 3D View Design of Images and Voices Integration for Effective Information Transfer (효과적 정보전달을 위한 영상정보의 3D 뷰 및 음성정보와의 융합 연구)

  • Shin, C.H.;Lee, J.S.
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.35 no.1B
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    • pp.35-41
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    • 2010
  • In this paper, we propose a 3D view design scheme which arranges 2D information in a 3D virtual space with a flexible interface and voice information. The scheme allows the user interface of the 2D image in 3D virtual space anytime from any view point. Voice information can be easily attached. It is this simple and efficient image and voice information arrangement in 3D virtual space that improves information transfer.

3D Costmap Generation and Path Planning for Reliable Autonomous Flight in Complex Indoor Environments (복합적인 실내 환경 내 신뢰성 있는 자율 비행을 위한 3차원 장애물 지도 생성 및 경로 계획 알고리즘)

  • Boseong Kim;Seungwook Lee;Jaeyong Park;Hyunchul Shim
    • The Journal of Korea Robotics Society
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    • v.18 no.3
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    • pp.337-345
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    • 2023
  • In this paper, we propose a 3D LiDAR sensor-based costmap generation and path planning algorithm using it for reliable autonomous flight in complex indoor environments. 3D path planning is essential for reliable operation of UAVs. However, existing grid search-based or random sampling-based path planning algorithms in 3D space require a large amount of computation, and UAVs with weight constraints require reliable path planning results in real time. To solve this problem, we propose a method that divides a 3D space into several 2D spaces and a path planning algorithm that considers the distance to obstacles within each space. Among the paths generated in each space, the final path (Best path) that the UAV will follow is determined through the proposed objective function, and for this purpose, we consider the rotation angle of the 2D space, the path length, and the previous best path information. The proposed methods have been verified through autonomous flight of UAVs in real environments, and shows reliable obstacle avoidance performance in various complex environments.

2D-3D Conversion Method Based on Scene Space Reconstruction (장면의 공간 재구성 기법을 이용한 2D-3D 변환 방법)

  • Kim, Myungha;Hong, Hyunki
    • The Journal of the Korea Contents Association
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    • v.14 no.7
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    • pp.1-9
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    • 2014
  • Previous 2D-3D conversion methods to generate 3D stereo images from 2D sequence consist of labor-intensive procedures in their production pipelines. This paper presents an efficient 2D-3D conversion system based on scene structure reconstruction from image sequence. The proposed system reconstructs a scene space and produces 3D stereo images with texture re-projection. Experimental results show that the proposed method can generate precise 3D contents based on scene structure information. By using the proposed reconstruction tool, the stereographer can collaborate efficiently with workers in production pipeline for 3D contents production.

Point Cloud Generation Method Based on Lidar and Stereo Camera for Creating Virtual Space (가상공간 생성을 위한 라이다와 스테레오 카메라 기반 포인트 클라우드 생성 방안)

  • Lim, Yo Han;Jeong, In Hyeok;Lee, San Sung;Hwang, Sung Soo
    • Journal of Korea Multimedia Society
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    • v.24 no.11
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    • pp.1518-1525
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    • 2021
  • Due to the growth of VR industry and rise of digital twin industry, the importance of implementing 3D data same as real space is increasing. However, the fact that it requires expertise personnel and huge amount of time is a problem. In this paper, we propose a system that generates point cloud data with same shape and color as a real space, just by scanning the space. The proposed system integrates 3D geometric information from lidar and color information from stereo camera into one point cloud. Since the number of 3D points generated by lidar is not enough to express a real space with good quality, some of the pixels of 2D image generated by camera are mapped to the correct 3D coordinate to increase the number of points. Additionally, to minimize the capacity, overlapping points are filtered out so that only one point exists in the same 3D coordinates. Finally, 6DoF pose information generated from lidar point cloud is replaced with the one generated from camera image to position the points to a more accurate place. Experimental results show that the proposed system easily and quickly generates point clouds very similar to the scanned space.

3D Affordance Field based Crowd Agent Behavior Simulation (3D 행동 유도장 기반 대규모 에이전트 행동 시뮬레이션)

  • Ok, Sooyol;Han, MyungWoo;Lee, Suk-Hwan
    • Journal of Korea Multimedia Society
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    • v.24 no.5
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    • pp.629-641
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    • 2021
  • Crowd behavior simulations have been studied to further accelerated and refined by parallelism by inducing agent-interacting forces into the image field representing the forces of attraction and repulsion. However, it was difficult to consider rapidly changing environments such as fire situations in buildings because texture images must be generated in advance simulation starts and simulations can only be performed in 2D spaces. In this paper, we propose a crowd agent behavior simulation method based on agent's 3D affordance field for flexible agent behavior in variable geomorphological environments in 3D space. The proposed method generates 3D affordance field related to agents and sensors in 3D space and defines the agent behavior in 3D space for the crowd behavior simulation based on an image-inducing field to a 3D space. Experimental results verified that our method enables the development of large-scale crowd behavior simulations that are flexible to various fire evacuation situations in 3D virtual spaces.

A basic study on extracting space information from 3D CAD (3D CAD 공간 정보를 추출하기 위한 기초 연구)

  • Kwon, Su-Youn;Lee, Yoon-Sun;Ahn, Byung-Ju;Kim, Whoi-Yul;Kim, Jae-Jun
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • 2008.11a
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    • pp.645-648
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    • 2008
  • Due to the rapid increase super high-rise buildings and multi-complex spaces, the space of a staged a very complex and variety of situations occur in the space of the building. The management is still based on limited information obtained by the administrator depends on the decision is made. However, the ability of human beings during a limited time, analysis limited information, and there is a limit to take the appropriate action and situation. To overcome these limitations high information technology that can be fused to take advantage of ubiquitous system is to offer. The aim of this study is on object-oriented 3D data and collected information about the status of the 3D data extraction, to exchange data between systems, the use of object-oriented 3D data, and I studied common space information of a multi-use facilities extracted from 3D CAD information to send to the GIS system.

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Syntax-based Accessibility for 3D Indoor Spaces (3차원 내부공간에서의Syntax기반의 접근성 산출)

  • Kim, Hye-Young;Jun, Chul-Min;Kwon, Jay-Hyoun
    • Journal of Korean Society for Geospatial Information Science
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    • v.15 no.3
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    • pp.11-18
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    • 2007
  • Recently 3D GIS and its applications are getting attention increasingly as various ubiquitous-related techniques for 3D spaces are being developed. Although they call for quantitative measures such as accessibility, most accessibilityrelated studies are limited to 2D networks, not 3D indoor space levels. In this paper, we develop an accessibility index applicable to 3D models. We first examine the theory of Space Syntax which has been developed and used to measure the connectivity or relationships between spatial segments in urban or architectural environments. Then, we expand the principle to a more general form so it can be applied to both street and indoor space levels. We incorporate different types of impedances in moving between places including distances, turns and transfers between floors into the traditional Space Syntax that measures the spatial depths solely based on the structural forms. Finally, we illustrate the use of the proposed measure comparatively using a campus building.

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