• Title/Summary/Keyword: 1차원근사

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Interactive Facial Expression Animation of Motion Data using CCA (CCA 투영기법을 사용한 모션 데이터의 대화식 얼굴 표정 애니메이션)

  • Kim Sung-Ho
    • Journal of Internet Computing and Services
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    • v.6 no.1
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    • pp.85-93
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    • 2005
  • This paper describes how to distribute high multi-dimensional facial expression data of vast quantity over a suitable space and produce facial expression animations by selecting expressions while animator navigates this space in real-time. We have constructed facial spaces by using about 2400 facial expression frames on this paper. These facial spaces are created by calculating of the shortest distance between two random expressions. The distance between two points In the space of expression, which is manifold space, is described approximately as following; When the linear distance of them is shorter than a decided value, if the two expressions are adjacent after defining the expression state vector of facial status using distance matrix expressing distance between two markers, this will be considered as the shortest distance (manifold distance) of the two expressions. Once the distance of those adjacent expressions was decided, We have taken a Floyd algorithm connecting these adjacent distances to yield the shortest distance of the two expressions. We have used CCA(Curvilinear Component Analysis) technique to visualize multi-dimensional spaces, the form of expressing space, into two dimensions. While the animators navigate this two dimensional spaces, they produce a facial animation by using user interface in real-time.

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A BLUE Estimator of 3-D Positioning by TDOA Method (TDOA 방식 기반 3-D 위치 추정을 위한 BLUE 추정기)

  • Lee, Young-Kyu;Yang, Sung-Hoon;Kwon, Tac-Yung;Lee, Chang-Bok;Park, Byung-Koo;Lee, Won-Jin
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.37B no.10
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    • pp.912-920
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    • 2012
  • In this paper, we derived a closed-form equation of a Best Linear Unbiased Estimator (BLUE) estimator for the 3 dimensional estimation of the position of the emitter based on the Time Difference of Arrival (TDOA) technique. The BLUE derived for the case of estimating 3 dimensional position of the emitter with 4 base stations or sensors, and for this purpose, we used an approximated equation of the TDOA hyperbola equation obtained from the first order Taylor-series after setting the reference points of the position. The derived equation can be used for any kind of noises which are uncorrelated in each other in the TOA measurement noises and for a white Gaussian noise also.

Modeling of 3D Monte Carlo Ion Implantation in the Ultra-Low Energy for the Fabrication of Giga-Bit Devices (기가 비트급 소자 제작을 위한 3차원 몬테카를로 극 저 에너지 이온 주입 모델링)

  • Ban, Yong-Chan;Kwon, Oh-Seob;Won, Tae-Young
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.37 no.10
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    • pp.1-10
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    • 2000
  • A rigorous modeling of ultra-low energy implantation is becoming increasingly more important as devices shrink to deep submicron dimensions. In this paper, we have developed an efficient three-dimensional Monte Carlo ion implantation model based on a modified Binary Collision Approximation(BCA). To this purpose, the modified electronic stopping model and the multi-body collision model have been taken into account in this simulator. The dopant and damage profiles show very good agreement with SIMS(Secondary Ion Mass Spectroscopy) data and RBS(Rutherford Backscattering Spectroscopy) data, respectively. Moreover, the ion distribution replica method has been implemented into the model to get a computational efficiency in a 3D simulation, and we have calculated the 3D Monte Carlo simulation into the topographically complex structure.

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A comparison on coefficient estimation methods in single index models (단일지표모형에서 계수 추정방법의 비교)

  • Choi, Young-Woong;Kang, Kee-Hoon
    • Journal of the Korean Data and Information Science Society
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    • v.21 no.6
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    • pp.1171-1180
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    • 2010
  • It is well known that the asymptotic convergence rates of nonparametric regression estimator gets worse as the dimension of covariates gets larger. One possible way to overcome this problem is reducing the dimension of covariates by using single index models. Two coefficient estimation methods in single index models are introduced. One is semiparametric least square estimation method, which tries to find approximate solution by using iterative computation. The other one is weighted average derivative estimation method, which is non-iterative method. Both of these methods offer the parametric convergence rate to normal distribution. However, practical comparison of these two methods has not been done yet. In this article, we compare these methods by examining the variances of estimators in various models.

신속한 3차원 전자탐사 모델링

  • Jo, In-Gi;Kim, Ha-Rim
    • Journal of the Korean Geophysical Society
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    • v.5 no.1
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    • pp.63-71
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    • 2002
  • The integral equation method is a powerful tool for electromagnetic numerical modeling. But the difficulty of this technique is the size of their linear equations, which demands excessive memory and calculation time to invert. This limitation of the integral equation method becomes critical in inverse problem. To overcome this limitation, a lot of approximation and series methods, such as conventional Born, modifed Born and extended Born, were developed. But all the methods need volume integration of Green tensor, which is very time consuming. In electromagnetic theory, Green tensor rapidly decreases as the distance between source and field cell increases. Therefore, the source cell which are far away from the field cell does not make an effect on the electric field of the field cell. Consequently, by ignoring the effect of Green tensor due to far away source cells, computing time for electromagnetic numerical modeling can be reduced dramatically. Comparisons of this new method against a full integral equation, extended Born approximation and series code show that the method is accurate enough much less time consuming.

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Trapped Water Waves due to Depth and Current Discontinuities (해저단애 지형 및 흐름에 의한 억류파낭)

  • 서승남;전기천
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.4 no.1
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    • pp.1-9
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    • 1992
  • Eigen Function Expansion Method(EFEM) and Plane Wave Approximation are employed to study the propagation of linear water waves over trenches. The properties of trapped waves due to depth and ambient current discontinuities and the effect of evanescent modes on wave propagations are investigated. Special attention is paid to the trapped waves, and not only 3-D plots but also B-D plots of wave propagation are presented.

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A 3D Image Measurement Algorithm for the Distance Measurement to the Object on 3D Plane (평면상에 존재하는 물체의 거리계측을 위한 3차원 영상계측 알고리즘)

  • 김용준;서경호;김태효
    • Proceedings of the Korea Institute of Convergence Signal Processing
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    • 2000.12a
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    • pp.65-68
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    • 2000
  • 본 논문에서는 평면상에 존재하는 물체까지의 거리를 카메라시스템을 이용하여 실제 거리를 계측하는 알고기즘을 제안하였다. 계측 시스템을 교정하기 위해, 우선 3차인 실세계 좌표계와 2차원의 카메라 좌표계의 관계를 해석하고, 카메라의 변수들을 포함하는 카메라 좌표계의 변수들을 구하였다. 한편, 3파원 공간에서 계측면을 평면으로 가정하고 평면의 방정식과 좌표계 변환 방정식으로부터 뉴턴-랩슨법을 이용하여 최소값에 대응하는 근사치를 구함으로써 물체까지의 거리 정보를 추출하였다. 실제의 계측 실험에서, 도로에 표준 물체인 Ca]ibration 시트를 두고 승용차의 백미러 위치에 카메라를 설치하고 영상을 획득하였다. 계측 거리는 4m부터 lOm까지는 1m간격으로 계측하고, 10m부터 30m까지는 10m간격으로 계측하였다. 그 결과 4m에서는 약 1.4mm의 오차가 발생하였고, 30m의 거리에서는 3.5m의 오차를 보였는데 계측 거리가 길어질수록 오차가 지수함수적으로 증가함을 알 수 있었다.

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The Acoustic-structural Coupling Analysis of the Passenger Cavity Considering the Characteristic of a Roof/Airgap/Trim (루프/에어갭/내장재 효과를 고려한 차실 음향-구조 연성해석)

  • 이장무;강상욱;김석현
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 1996.10a
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    • pp.84-90
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    • 1996
  • 일반적으로 차실 음향 공동과 차체 팬널이 연성이 되는 계에 대한 소음 연성해석을 위한 해석 모델은 팬널과 공동이 직접적으로 연성이 되는 것으로 모델링되었다. 그러나 루프와 같은 팬널이 차실과 연성이 되는 경우, 루프의 진동은 차실에 직접적으로 전달되지 않고 루프 하단에 존재하는 갭과 내장판을 통하여 차실 소음에 영향을 미친다. 루프와 내장재 사이에 있는 갭의 매질은 주로 공기 도는 흡음재이다. 본 논문에서는 이러한 음향 구조 연성계를 이론적으로 해석 가능한 1차원 모델로 근사화하여 갭의 간격, 갭의 매질 특성, 내장재의 물성치 등의 변화에 따른 공동 내의 음향 응답 특성을 알아보고자 한다. 또한 위 결과를 에어갭을 고려한 3차원 차실 모델에 적용하고, 1/2 차실 모델에 대한 실험을 통하여 에어갭과 내장재의 효과를 검증한다.

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Visualizing multidimensional data in multiple groups (다그룹 다차원 데이터의 시각화)

  • Huh, Myung-Hoe
    • The Korean Journal of Applied Statistics
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    • v.30 no.1
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    • pp.83-93
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    • 2017
  • A typical approach to visualizing k (${\geq}2$)-group multidimensional data is to use Fisher's canonical discriminant analysis (CDA). CDA finds the best low-dimensional subspace that accommodates k group centroids in the Mahalanobis space. This paper proposes an alternative visualization procedure functioning in the Euclidean space, which finds the primary dimension with maximum discrimination of k group centroids and the secondary dimension with maximum dispersion of all observational units. This hybrid procedure is especially useful when the number of groups k is two.

Three-dimensional Cross-hole EM Modeling using the Extended Born Approximation (확장 Born 근사에 의한 시추공간 3차원 전자탐사 모델링)

  • Lee, Seong-Kon;Kim, Hee-Joon;Suh, Jung-Hee
    • Geophysics and Geophysical Exploration
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    • v.2 no.2
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    • pp.86-95
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    • 1999
  • This paper presents an efficient three-dimensional (3-D) modeling algorithm using the extended approximation to an electric field integral equation. Numerical evaluations of Green's tensor integral are performed in the spatial wavenumber domain. This approach makes it possible to reduce computing time, to handle smoothly varying conductivity model and to remove singularity problems encountered in the integration of Green's tensor at a source point. The responses obtained by 3-D modeling algorithm developed in this study are compared with those by the full integral equation for a thin-sheet EM scattering. The extensive analyses on the performance of modeling algorithm are made with the conductivity contrasts and source frequencies. These results show that the modeling algorithm are accurate up to the conductivity contrast of 1:16 and the frequency range of 100 Hz-100 kHz. The extended Born approximation, however, may produce inaccurate results for some source and model configurations in which the electric field is discontinuous across the conductivity boundary. We performed the modeling of a composite model of which conductivity varies continuously and this shows the modeling algorithm developed in this study is efficient for 3-D EM modeling. For a cross-hole source-receiver configuration a composite model of which conductivity varies continuously can be successfully simulated using this algorithm.

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