• 제목/요약/키워드: 3D Cube

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3D Reconstruction of Tissue from a few of MRI Images using Radial Basis Function (BBF를 이용한 적은 수의 MRI 이미지로부터 3차원 조직 재구성)

  • Shin, Young-Seok;Kim, Hyoung-Seok B.
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.12 no.11
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    • pp.2077-2082
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    • 2008
  • Recent the advanced technologies in medical imaging such as magnetic resonance imaging (MRI) and computed tomography (CT) make doctors improve the diagnostic skill with detailed anatomical information. In general, it is necessary to get a number of MRI images in order to obtain more detail information. However, the performance of MRI machines of privately run hospitals is not good and thus we may obtain only a few of MRI images. If 3D surface reconstruction is accomplished with a few slices, then it generates 3D surface of poor qualify. This paper propose a way to Set a 3D surface of high quality from a few of number of slices. First of all, our algorithm detects the boundary of tissues which we want to reconstruct as a 3D object and find out the set of vortices on the boundary. And then we generate a 3D implicit surface to interpolate the boundary points by using radial basis function. Lastly, we render the 3D implicit surface by using Marching cube algorithms.

Crystal Cube UI : User Interface for Mobile device using Circular Interaction of Virtual Cubes (가상 큐브의 회전을 이용한 모바일 기기의 사용자 인터페이스)

  • Choi, Kang-Seok;Park, Han-Cho;Park, Ji-Hwan;Ko, Soo-Jin;Park, Jun-Soo;An, Byoung-Il
    • 한국HCI학회:학술대회논문집
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    • 2009.02a
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    • pp.949-953
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    • 2009
  • 디지털 모바일 멀티미디어 기기가 처음 등장한 이후 현재 그 기능, 디자인을 넘어서 이제 사용성이 제품의 핵심으로 자리잡고 있다. 그러나 기존에 선보였던 제품들의 GUI 가 2 차원에 대부분 한정되어 구현된 평면적 인터랙션에 머물러 있어, 본 연구에서는 그것을 탈피한 3D 가상 큐브(Cube)의 회전 인터랙션(Interaction)을 이용한 보다 진보적인 UI 로의 제안과 이를 구현하기 위하여 새로운 아이디어를 적용한 프로토타입을 제작하였다. 그리고 일반인으로 하여금 본 인터페이스에 대한 사용성 평가를 진행하여 실제 제품화되었을 때 실효성에 대한 부분도 검증하여 보았다.

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Quality and Fruit Productivity of the Second Truss Blooming Seedlings Depending on Concentration of Nutrient Solution in Cherry Tomato (양액 농도에 따른 방울토마토 2화방 개화묘의 소질 및 과실 생산성)

  • Lee, Mun Haeng
    • Journal of Bio-Environment Control
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    • v.31 no.3
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    • pp.230-236
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    • 2022
  • This study was carried out to produce two-flowered seedlings, harvest them early in a greenhouse, and extend the harvest period. This study was carried out to effectively produce the second truss blooming seedlings to harvest tomatoes early and extend the harvest period. For production of the second truss blooming seedlings (one stem), the nutrient solution EC was supplied at 1.5, 2.0, 2.5 dS·m-1, and dynamic management (3.0 → 3.5 → 4.5 dS·m-1). The seedling period was 60 days, which was 20-40 days longer than conventional seedlings, and 10 days longer than the first truss blooming seedlings (cube seedlings). The plant height was 78 and 77 cm in EC 2.5 dS·m-1 and dynamic management respectively, which was shorter than EC 1.5 dS·m-1 with 88 cm. As for the EC in the cube before formulation, dynamic management had the highest EC 5.5 dS·m-1, and the cube supplied with EC 1.5 dS·m-1 had the lowest. The production yield by treatment did not a difference among in the second truss blooming seedlings, but the first truss blooming seedlings showed lower productivity than second truss blooming seedlings. The second truss blooming seedling were harvested 35 days after planting on June 4, the first harvest date, and the first truss blooming were harvested in 42 days on June 11th. There was no difference in plant height and root growth due to bending at frequency planting. In the study on the production of the second truss blooming seedlings (two stem), the nutrient solution EC was supplied under 2.0, 2.5, 3.0 dS·m-1, and dynamic management (3.0 → 3.5 → 4.5 dS·m-1). The seedling period was 90 days, which was 40-50 days longer than conventional seedlings and 10 days longer than the first truss blooming seedlings (cube seedlings). Plant height was 80 and 81 cm in EC 2.0 dS·m-1 and 2.5 dS·m-1 respectively, but was the shortest at 73 cm in dynamic management. EC in the medium increased as the seeding period increased in all treatments. The dynamic management was the highest with EC 5.1 dS·m-1. There was no difference in yield among EC treatments in the second truss blooming seedlings, which had a longer seeding period of about 10 days, produced 15% more than the first truss blooming seedlings. In order to shorten the plant height of the second truss blooming seedlings, it is judged that the most efficient method is increasing the concentration of nutrient solution.

Study on the development of a personal computer aided 3-D geometric modelling system (PC를 이용한 3차원 입체형상 모델링 시스템 개발 연구)

  • 변문현;오익수
    • 제어로봇시스템학회:학술대회논문집
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    • 1988.10a
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    • pp.562-566
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    • 1988
  • The purpose of this study is to develop a personal computer aided 3-D geometric modeller. To perform this study, we set up a cube, a cylinder, and a prism as a primitive in the first segment of this study. By modelling the 3-D object through their transformation, addition, and subtraction, we proved the validity of the developed algorithm and its computer program. Some examples show the results of applying the program to modelling a few simple shape of the machine parts. These results met the first aim of this study.

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Field Application of 3D seismic travel-time tomography (3차원 탄성파 지대공 토모그래피 현장 적용)

  • Moon, Yun-Seop;Ha, Hee-Sang;Lim, Harry;Ko, Kwang-Beom
    • 한국지구물리탐사학회:학술대회논문집
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    • 2006.06a
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    • pp.233-237
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    • 2006
  • 3D travel time tomography was conducted to characterize the subsuface structure in the valley area. In this study, an area($200m{\times}200m$), where borehole informations were available to aid in the interpretation, was covered with wide source/receiver coverage. In data acquisition, both hole to hole and reverse VSP array was employed. For the inversion, 3D seismic traveltime tomography algorithm based on Fresnel volume was implemented. When compared 3D velocity cube with the geological survey and drilling logs, both results were matched well. From this, we concluded that 3D seismic travel time tomography has enough potential to the field application.

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A Study on the 3D-Puzzle Security Policy in Integrated Security System Network (통합보안 시스템 망 내 3차원-Puzzle 보안정책에 관한 연구)

  • Seo, Woo-Seok;Jun, Moon-Seog
    • The Journal of the Korea institute of electronic communication sciences
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    • v.5 no.4
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    • pp.425-434
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    • 2010
  • This study shows a limit to attacks that the prevention system, which is used as the mutual third aggressive packet path between open heterogeneous networks and applies prevention techniques according to the trace like IP tracking and attack methods, can prevent. Therefore, the study aims to learn information of constant attack routing protocol and of the path in network, the target of attack and build a database by encapsulating networks information routing protocol operates in order to prevent source attack paths. In addition, the study is conducted to divide network routing protocols developed from the process of dividing the various attack characters and prevent various attacks. This study is meaningful in that it analyzes attack path network and attacks of each routing protocol and secure exact mechanism for prevention by means of 3D-Puzzle, Path, and Cube of the integrated security system which is an implementation method of integrated information protection for access network defense.

Geophysical Implications for Configurational Entropy and Cube Counting Fractal Dimension of Porous Networks of Geological Medium: Insights from Random Packing Simulations (지질매체 공극 구조에 대한 구성 엔트로피와 상자집계 프랙탈 차원의 지구물리학적 의미 및 응용: 무작위 패킹 시뮬레이션 연구)

  • Lee, Bum-Han;Lee, Sung-Keun
    • Journal of the Mineralogical Society of Korea
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    • v.23 no.4
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    • pp.367-375
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    • 2010
  • Understanding the interactions between earth materials and fluids is essential for studying the diverse geological processes in the Earth's surface and interior. In order to better understand the interactions between earth materials and fluids, we explore the effect of specific surface area and porosity on structural parameters of pore structures. We obtained 3D pore structures, using random packing simulations of porous media composed of single sized spheres with varying the particle size and porosity, and then we analyzed configurational entropy for 2D cross sections of porous media and cube counting fractal dimension for 3D porous networks. The results of the configurational entropy analysis show that the entropy length decreases from 0.8 to 0.2 with increasing specific surface area from 2.4 to $8.3mm^2/mm^3$, and the maximum configurational entropy increases from 0.94 to 0.99 with increasing porosity from 0.33 to 0.46. On the basis of the strong correlation between the liquid volume fraction (i.e., porosity) and configurational entropy, we suggest that elastic properties and viscosity of mantle melts can be expressed using configurational entropy. The results of the cube counting fractal dimension analysis show that cube counting fractal dimension increases with increasing porosity at constant specific surface area, and increases from 2.65 to 2.98 with increasing specific surface area from 2.4 to $8.3mm^2/mm^3$. On the basis of the strong correlation among cube counting fractal dimension, specific surface area, and porosity, we suggest that seismic wave attenuation and structural disorder in fluid-rock-melt composites can be described using cube counting fractal dimension.

Segmentation and Visualization of Human Anatomy using Medical Imagery (의료영상을 이용한 인체장기의 분할 및 시각화)

  • Lee, Joon-Ku;Kim, Yang-Mo;Kim, Do-Yeon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.8 no.1
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    • pp.191-197
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    • 2013
  • Conventional CT and MRI scans produce cross-section slices of body that are viewed sequentially by radiologists who must imagine or extrapolate from these views what the 3 dimensional anatomy should be. By using sophisticated algorithm and high performance computing, these cross-sections may be rendered as direct 3D representations of human anatomy. The 2D medical image analysis forced to use time-consuming, subjective, error-prone manual techniques, such as slice tracing and region painting, for extracting regions of interest. To overcome the drawbacks of 2D medical image analysis, combining with medical image processing, 3D visualization is essential for extracting anatomical structures and making measurements. We used the gray-level thresholding, region growing, contour following, deformable model to segment human organ and used the feature vectors from texture analysis to detect harmful cancer. We used the perspective projection and marching cube algorithm to render the surface from volumetric MR and CT image data. The 3D visualization of human anatomy and segmented human organ provides valuable benefits for radiation treatment planning, surgical planning, surgery simulation, image guided surgery and interventional imaging applications.

An Automatic Discontinuity Extraction Method from 3D Seismic Data (3차원 탄성파 자료로부터 불연속면 자동 추출기법)

  • Ji Jun
    • Geophysics and Geophysical Exploration
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    • v.4 no.3
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    • pp.89-95
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    • 2001
  • The final goal of the seismic method is to verify the spatial characteristic of subsurface media. For this purpose, professional interpreters interprete the discontinuities of seismic events from seismic image. This paper introduces a method for automatic discontinuity extraction from 3D seismic image. The method consists of three steps. The first step is for estimating coherency of seismic events from seismic data. The second step is to express the potential region where discontinuities may exist in the form of binary image. The third step is to locate the discontinuities by thining the region found in the second step.

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Efficient Processing method of OLAP Range-Sum Queries in a dynamic warehouse environment (다이나믹 데이터 웨어하우스 환경에서 OLAP 영역-합 질의의 효율적인 처리 방법)

  • Chun, Seok-Ju;Lee, Ju-Hong
    • The KIPS Transactions:PartD
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    • v.10D no.3
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    • pp.427-438
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    • 2003
  • In a data warehouse, users typically search for trends, patterns, or unusual data behaviors by issuing queries interactively. The OLAP range-sum query is widely used in finding trends and in discovering relationships among attributes in the data warehouse. In a recent environment of enterprises, data elements in a data cube are frequently changed. The problem is that the cost of updating a prefix sum cube is very high. In this paper, we propose a novel algorithm which reduces the update cost significantly by an index structure called the Δ-tree. Also, we propose a hybrid method to provide either approximate or precise results to reduce the overall cost of queries. It is highly beneficial for various applications that need quick approximate answers rather than time consuming accurate ones, such as decision support systems. An extensive experiment shows that our method performs very efficiently on diverse dimensionalities, compared to other methods.