• 제목/요약/키워드: Scan Model

검색결과 475건 처리시간 0.025초

Grid method에 의한 3차원 형상의 평면전개를 위한 optimal matrix 표준화 연구 -$18{\sim}24$세 여성 Upper Front Shell을 중심으로- (Optimal Matrix Standardization for Pattern Flattening Using Grid Method -Focused on Young Women's Upper Front Shell-)

  • 최영림;남윤자;최경미
    • 한국의류학회지
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    • 제30권8호
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    • pp.1242-1252
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    • 2006
  • Many applications in computer graphics require complex, highly detailed models. However, to control processing time, it is often desirable to use approximations in place of excessively detailed models. Therefore, we have developed the notion of an optimal matrix to simplify the model surface which can then rapidly obtain high quality 2D patterns by flattening the 3D surface. Firstly, the woman's 3D body was modeled based on Size Korea data. Secondly, the 3D model was divided by shell and block for the pattern draft. Thirdly, each block was flattened by the grid and bridge method. Finally, we select the optimal matrix and demonstrate it's efficiency and quality. The proposed approach accommodates surfaces with darts, which are commonly utilized in the clothing industry to reduce the deformation of surface forming and flattening. The resulting optimal matrix could be an initiation of standardization for pattern flattening. This can facilitate much better approximations, in both efficiency and exactness.

포크너-스캔 경계층유동에서의 다분산 입자부착에 대한 연구 (Deposition of Polydisperse Particles in a Falkner-Skan Wedge Flow)

  • 조장호;황정호;최만수
    • 대한기계학회논문집
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    • 제19권9호
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    • pp.2342-2352
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    • 1995
  • Deposition of flame-synthesized silica particles onto a target is utilized in optical fiber preform fabrication processes. The particles are convected and deposited onto the target. Falkner-Skan wedge flow was chosen as the particle laden flow. Typically the particles are polydisperse in size and follow a lognormal size distribution. Brownian diffusion, thermophoresis, and coagulation of the particles were considered and effects of these phenomena on particle deposition were studied. A moment model was developed in order to predict the particle number density and the particle size distribution simultaneously. Particle deposition with various wedge configurations was examined for conditions selected for a typical VAD process. When coagulation was considered, mean particle size and its standard deviation increased and particle number density decreased, compared to the case without coagulation. These results proved the fact that coagulation effect expands particle size distribution. The results were discussed with characteristics of thermal and diffusion boundary layers. As the boundary layers grow in thickness, overall temperature and concentration gradients decrease, resulting in decrease of deposition rate and increase of particle residence time in the flow and thus coagulation effect.

Development of Simple Articulated Human Models using Superquadrics for Dynamic Analysis

  • Lee, Hyun-Min;Kim, Jay-Jung;Chae, Je-Wook
    • 대한인간공학회지
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    • 제30권6호
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    • pp.715-725
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    • 2011
  • Objective: This study is aimed at developing Articulated Human Models(AHM) using superquadrics to improve the geometric accuracy of the body shape. Background: The previous work presents the AHM with geometrical simplification such as ellipsoids to improve analysis efficiency. However, because of the simplicity, their physical properties such as a center of mass and moment of inertia are computed with errors compared to their actual values. Method: This paper introduces a three steps method to present the AHM with superquadrics. First, a 3D whole body scan data are divided into 17 body segments according to body joints. Second, superquadric fitting is employed to minimize the Euclidean distance between body segments and superquadrics. Finally, Fee-Form Deformation is used to improve accuracy over superquadric fitting. Results: Our computational experiment shows that the superquadric models give better accuracy of dynamic analysis than that of ellipsoid ones. Conclusion: We generate the AHM composed of 17 superquadrics and 16 joints using superquadric fitting. Application: The AHM using superquadrics can be used as the base model for dynamics and ergonomics applications with better accuracy because it presents the human motion effectively.

H.264/AVC용 면적 효율적인 인트라 프레임 디코더 설계 (Area-efficient Design of Intra Frame Decoder for H.264/AVC)

  • 정덕영;손승일
    • 한국정보통신학회논문지
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    • 제10권11호
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    • pp.2020-2025
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    • 2006
  • H.264/AVC는 ITU-T 비디오 코딩 전문가 그룹과 ISO/IEC MPEG 그룹에 의해 제안된 최신 비디오 코딩 표준안이다. 최근 DMB와 멀티미디어 장비들이 비디오 압축 표준으로 H.264/AVC를 채택하고 있다. 본 논문에서는 메모리 사용을 최소화하고, 칩 면적을 최소화할 수 있는 H.264/AVC의 인트라 프레임 디코더를 제안한다. 제안한 인트라 프레임 디코더는 하드웨어 설계 언어인 VHDL로 기술하여 model_sim을 사용하여 시뮬레이션을 수행하였다. 그리고 FPGA칩인 XCV1000E에 다운로드하여 칩 레벨에서 설계된 H.264/AVC의 인트라 프레임 디코더를 검증하였다.

IRS-1C 위성데이타를 이용한 수치표고모델 생성에 관한 연구 (A Study on the Generation of Digital Elevation Model from IRS-1C Satellite Image Data)

  • 안기원;이효성;서두천;신석효
    • 한국측량학회지
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    • 제17권3호
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    • pp.293-300
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    • 1999
  • IRS-1C PAN의 수치화상데이터를 사용하여 수치표고모델을 생성하는 기법을 연구하였다. 번들조정기법을 적용하여 라인별 외부표정요소를 결정하였으며, 그 결과 위성의 자세와 위치 모두에 있어서 1차다항식이 가장 유효하였다. 수치표고모델과 정사투영화상을 생성한 후, 연구 대상영역내의 상이한 표고를 가지고 있는 16점의 평가점을 선정하여, 연구결과의 지도좌표와 비교해본 결과, 표고오차의 RMSE가 $\pm{16.66m}$인 수치표고 모델을 생성할 수 있었다.

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CNN을 활용한 Tor 네트워크 트래픽 분류 (Classification of Tor network traffic using CNN)

  • 임형석;이수진
    • 융합보안논문지
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    • 제21권3호
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    • pp.31-38
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    • 2021
  • Onion Router라고 알려진 Tor는 강한 익명성을 보장하기 때문에 각종 범죄행위뿐만 아니라 신속한 포트 검색 및 인증정보의 외부 유출 등 해킹 시도에도 활발하게 이용되고 있다. 따라서 범죄 시도를 조기에 차단하고 해킹으로부터 조직의 정보시스템을 안전하게 보호하기 위해서는 Tor 트래픽의 빠르고 정확한 탐지가 상당히 중요하다. 이에 본 논문에서는 CNN(Convolutional Neural Network)을 기반으로 Tor 트래픽을 탐지하고 트래픽의 유형을 분류하는 분류모델을 제안한다. 제안하는 분류모델의 성능 검증에는 UNB Tor 2016 데이터세트가 사용되었다. 실험을 진행한 결과, 제안하는 접근방법은 Tor 및 Non-Tor 트패픽을 탐지하는 이진분류에서는 99.98%, Tor 트래픽의 유형을 구분하는 다중분류에서는 97.27%의 정확도를 보여주었다.

Delamination identification of laminated composite plates using measured mode shapes

  • Xu, Yongfeng;Chen, Da-Ming;Zhu, Weidong;Li, Guoyi;Chattopadhyay, Aditi
    • Smart Structures and Systems
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    • 제23권2호
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    • pp.195-205
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    • 2019
  • An accurate non-model-based method for delamination identification of laminated composite plates is proposed in this work. A weighted mode shape damage index is formulated using squared weighted difference between a measured mode shape of a composite plate with delamination and one from a polynomial that fits the measured mode shape of the composite plate with a proper order. Weighted mode shape damage indices associated with at least two measured mode shapes of the same mode are synthesized to formulate a synthetic mode shape damage index to exclude some false positive identification results due to measurement noise and error. An auxiliary mode shape damage index is proposed to further assist delamination identification, by which some false negative identification results can be excluded and edges of a delamination area can be accurately and completely identified. Both numerical and experimental examples are presented to investigate effectiveness of the proposed method, and it is shown that edges of a delamination area in composite plates can be accurately and completely identified when measured mode shapes are contaminated by measurement noise and error. In the experimental example, identification results of a composite plate with delamination from the proposed method are validated by its C-scan image.

레이저 분말 베드 용융법으로 제조된 AlSi10Mg 합금의 경도 예측을 위한 설명 가능한 인공지능 활용 (Application of Explainable Artificial Intelligence for Predicting Hardness of AlSi10Mg Alloy Manufactured by Laser Powder Bed Fusion)

  • 전준협;서남혁;김민수;손승배;정재길;이석재
    • 한국분말재료학회지
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    • 제30권3호
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    • pp.210-216
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    • 2023
  • In this study, machine learning models are proposed to predict the Vickers hardness of AlSi10Mg alloys fabricated by laser powder bed fusion (LPBF). A total of 113 utilizable datasets were collected from the literature. The hyperparameters of the machine-learning models were adjusted to select an accurate predictive model. The random forest regression (RFR) model showed the best performance compared to support vector regression, artificial neural networks, and k-nearest neighbors. The variable importance and prediction mechanisms of the RFR were discussed by Shapley additive explanation (SHAP). Aging time had the greatest influence on the Vickers hardness, followed by solution time, solution temperature, layer thickness, scan speed, power, aging temperature, average particle size, and hatching distance. Detailed prediction mechanisms for RFR are analyzed using SHAP dependence plots.

3D 프린터로 제작하는 마우스가드 (3D Printed customized sports mouthguard)

  • 류재준;이수영
    • 대한치과의사협회지
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    • 제58권11호
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    • pp.700-712
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    • 2020
  • The conventional mouthguard fabrication process consists of elastomeric impression taking and followed gypsum model making is now into intraoral scanning and direct mouthguard 3D printing with an additive manufacturing process. Also, dental professionals can get various diagnostic data collection such as facial scans, cone-beam CT, jaw motion tracking, and intraoral scan data to superimpose them for making virtual patient datasets. To print mouthguards, dental CAD software allows dental professionals to design mouthguards with ease. This article shows how to make 3D printed mouthguard step by step.

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깊이 영상을 이용한 3D 프린팅 기반 환자 맞춤형 안와 임플란트의 설계 및 제작 (3D Printing Based Patient-specific Orbital Implant Design and Production by Using A Depth Image)

  • 서우덕;김구진
    • 한국멀티미디어학회논문지
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    • 제23권8호
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    • pp.903-914
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    • 2020
  • In this paper, we present a novel algorithm to generate a 3D model of patient-specific orbital implant, which is finally produced by the 3D printer. Given CT (computed tomography) scan data of the defective orbital wall or floor, we compose the depth image of the defect site by using the depth buffering, which is a computer graphics technology. From the depth image, we compute the 3D surface which fills the broken part by interpolating the points around the broken part. By thickening the 3D surface, we get the 3D volume mesh of the orbital implant. Our algorithm generates the patient-specific orbital implant whose shape is accurately coincident to the broken part of the orbit. It provides the significant time efficiency for manufacturing the implant with supporting high user convenience.