• Title/Summary/Keyword: Multi Patch Modeling

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A Study on Multi-patch Surface in Improving Efficiency of 3D Facial Modeling (Multi-patch Surface를 이용한 3D Facial Model 제작 효율 향상에 관한 연구)

  • 진영애;김종기;김치용
    • Proceedings of the Korea Multimedia Society Conference
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    • 2003.05b
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    • pp.492-498
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    • 2003
  • 본 논문에서는 실사와 같은 사실적인 3차원 Facial Model 제작을 위해 해부학 접근을 통한 근육기반의 자연스러운 Facial Modeling 제작을 연구하였다 한국인 기본형 얼굴을 연구 대상으로 선정하여 안면근육 비례를 분석한 후 Multi-patch Surface Modeling 방법을 적용하며 제작하였다. 이 방법에는 통계적 분석기법 중 L/sub 27/(3/sup 13/) 3수준계 직교배열표를 이용하여 검증하였다. 본 연구를 통하여 Facial Model 제작 시 최소의 UV spans 수로 최대 시각화 즉, 원본의 형상을 최대한 유지하면서 작업시간과 Rendering 시간 단축 및 Data 용량을 줄일 수 있는 Modeling 방법을 제안하였고, 향후 자연스런 Facial Animation 제작 및 연구에도 많은 도움이 될 것으로 기대된다.

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Performance Evaluation for the Methods of Spot Weld Modeling Considering Durability (피로 해석을 고려한 점용접부 모델링 기법의 성능 평가)

  • Byun Hyung-Bae;Lee Byung-Chai;Joo Byung-Hyun
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.29 no.8 s.239
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    • pp.1153-1160
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    • 2005
  • Many methods of spot weld modeling have been developed to increase efficiency and guarantee the robustness fer the CAE analysis. In this research they are introduced and the performance is compared in a viewpoint of stiffness and durability. For evaluating the performance a multi-spot welded specimen as well as two single welded specimen is used. The results show that the CWELD element considering 'patch to patch' is stiffer than other modeling methods in stiffness and more conservative in durability. It also offers simple modeling and since it is much easier to maintain the orrhogonality of the BAR element expressing a nugget, we can obtain more exact reaction forces and moments in a nugget. Therefore the CWELD element is the most excellent in the assessment of durability.

Robust inverse identification of piezoelectric and dielectric effective behaviors of a bonded patch to a composite plate

  • Benjeddou, Ayech;Hamdi, Mohsen;Ghanmi, Samir
    • Smart Structures and Systems
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    • v.12 no.5
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    • pp.523-545
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    • 2013
  • Piezoelectric and dielectric behaviors of a piezoceramic patch adhesively centered on a carbon composite plate are identified using a robust multi-objective optimization procedure. For this purpose, the patch piezoelectric stress coupling and blocked dielectric constants are automatically evaluated for a wide frequency range and for the different identifiable behaviors. Latters' symmetry conditions are coded in the design plans serving for response surface methodology-based sensitivity analysis and meta-modeling. The identified constants result from the measured and computed open-circuit frequencies deviations minimization by a genetic algorithm that uses meta-model estimated frequencies. Present investigations show that the bonded piezoceramic patch has effective three-dimensional (3D) orthotropic piezoelectric and dielectric behaviors. Besides, the sensitivity analysis indicates that four constants, from eight, dominate the 3D orthotropic behavior, and that the analyses can be reduced to the electromechanically coupled modes only; therefore, in this case, and if only the dominated parameters are optimized while the others keep their nominal values, the resulting piezoelectric and dielectric behaviors are found to be transverse-isotropic. These results can help designing piezoceramics smart composites for various applications like noise, vibration, shape, and health control.

Interface design and implementation for Attribute Based $Modeling^{TM}$ surface design (Attribute Based $Modeling^{TM}$ surface 디자인을 위한 인터페이스 설계 및 구현)

  • Kim Jeong-Hwa;Park Hwa-Jin
    • Proceedings of the Korea Information Processing Society Conference
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    • 2006.05a
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    • pp.1315-1318
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    • 2006
  • 모형 설계와 도형의 생성은 점, 곡선, 기울기과 같은 특정 속성들의 정보로 만들어 진다. 도형을 생성할 때 곡면 조각, 움직이는 곡선과 점, 일반적인 곡선, 연속 혹은 닫힌 곡선, 빠른 계산들은 중요하게 생각 되는 모델링 개념이다. 이 논문에서는 Attribute Based $Modeling^{TM}(A-B\;Modeling^{TM})$ surface을 사용하여 디자인을 디자인할 때 필요한 Multi-sided patch의 설계와 인터페이스를 구현하고자 한다.

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The impact of ram pressure on the multi-phase ISM probed by the TIGRESS simulation

  • Choi, Woorak;Kim, Chang-Goo;Chung, Aeree
    • The Bulletin of The Korean Astronomical Society
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    • v.43 no.1
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    • pp.62.1-62.1
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    • 2018
  • Galaxies in the cluster environment interact with the intracluster medium (ICM), losing the interstellar medium (ISM) and alternating their evolution. Observational evidences of the extraplanar ISM stripped by the ICM's ram pressure are prevalent in HI imaging studies of cluster galaxies. However, current theoretical understanding of the ram pressure stripping (or ICM-ISM interaction in general) is still limited mainly due to the lack of numerical resolution at ISM scales in large-scale simulations. Especially, self-consistent modeling of the turbulent, multiphase ISM is critical to understand star formation in galaxies interacting with the ICM. To achieve this goal, we utilize the TIGRESS simulation suite, simulating a local patch of galactic disks with high resolution to resolve key physical processes in the ISM, including cooling/heating, self-gravity, MHD, star formation, and supernova feedback. We then expose the ISM disk to ICM flows and investigate the evolution of star formation rate and the properties of the ISM. By exploring ICM parameter space, we discuss an implication of the simple ram pressure stripping condition (so called the Gunn-Gott condition) to the realistic ISM.

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Utilizing Airborne LiDAR Data for Building Extraction and Superstructure Analysis for Modeling (항공 LiDAR 데이터를 이용한 건물추출과 상부구조물 특성분석 및 모델링)

  • Jung, Hyung-Sup;Lim, Sae-Bom;Lee, Dong-Cheon
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.26 no.3
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    • pp.227-239
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    • 2008
  • Processing LiDAR (Light Detection And Ranging) data obtained from ALS (Airborne Laser Scanning) systems mainly involves organization and segmentation of the data for 3D object modeling and mapping purposes. The ALS systems are viable and becoming more mature technology in various applications. ALS technology requires complex integration of optics, opto-mechanics and electronics in the multi-sensor components, Le. data captured from GPS, INS and laser scanner. In this study, digital image processing techniques mainly were implemented to gray level coded image of the LiDAR data for building extraction and superstructures segmentation. One of the advantages to use gray level image is easy to apply various existing digital image processing algorithms. Gridding and quantization of the raw LiDAR data into limited gray level might introduce smoothing effect and loss of the detail information. However, smoothed surface data that are more suitable for surface patch segmentation and modeling could be obtained by the quantization of the height values. The building boundaries were precisely extracted by the robust edge detection operator and regularized with shape constraints. As for segmentation of the roof structures, basically region growing based and gap filling segmentation methods were implemented. The results present that various image processing methods are applicable to extract buildings and to segment surface patches of the superstructures on the roofs. Finally, conceptual methodology for extracting characteristic information to reconstruct roof shapes was proposed. Statistical and geometric properties were utilized to segment and model superstructures. The simulation results show that segmentation of the roof surface patches and modeling were possible with the proposed method.