• Title/Summary/Keyword: 이동최소자승

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Fast and Rigid 3D Shape Deformation Based on Moving Least Squares (이동 최소 자승법 기반의 빠르고 강체성이 유지되는 3차원 형상 변형 기법)

  • Lee, Jung;Kim, Chang-Hun
    • The KIPS Transactions:PartA
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    • v.16A no.2
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    • pp.61-68
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    • 2009
  • We present a fast 3D shape deformation method that achieves smoothly deformed result by approximating a rigid transformation based on moving least squares (MLS). Our modified MLS formulation reduces the computation cost for computing the optimal transformation of each point and still keeps the rigidity of the deformed results. Even complex geometric shapes are easily, intuitively, and interactively deformed by manipulating point and ellipsoidal handles.

Reliability Based Design Optimization using Moving Least Squares (이동최소자승법을 이용한 신뢰성 최적설계)

  • Park, Jang-Won;Lee, Oh-Young;Im, Jong-Bin;Lee, Soo-Yong;Park, Jung-Sun
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.36 no.5
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    • pp.438-447
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    • 2008
  • This study is focused on reliability based design optimization (RBDO) using moving least squares. A response surface is used to derive a limit-state equation for reliability based design optimization. Response surface method (RSM) with least square method (LSM) or Kriging will be used as a response surface. RSM is fast to make the response surface. On the other hand, RSM has disadvantage to make the response surface of nonlinear equation. Kriging can make the response surface in nonlinear equation precisely but needs considerable amount of computations. The moving least square method (MLSM) is made of both methods (RSM with LSM+Kriging). Numerical results by MLSM are compared with those by LMS in Rosenbrock function and six-hump carmel back function. The RBDO of engine duct of smart UAV is pursued in this paper. It is proved that RBDO is useful tool for aerospace structural optimal design problems.

Moving Least Squares Interface Welding Method for Coupled Analysis of Independently Modeled Finite Element Substructures (독립적으로 모델링된 유한요소 부분구조물 시스템의 통합 연계해석을 위한 이동최소자승 정계접합법의 개발)

  • An, Jae-Mo;Song, You-Me;Choi, Dong-Whan;Cho, Jin-Yeon
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.33 no.10
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    • pp.26-34
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    • 2005
  • In this paper, a novel moving least squares interface welding method is proposed to carry out the coupled analysis of whole model composed of independently modeled finite element substructures with nodal mismatching interfaces. To verify the validity, and efficiency of the proposed interface welding method, various numerical examples are worked out including patch tests, convergence tests, and examples of coupled analyses of the structural systems with mismatching substructures. From the numerical tests, it is confirmed that one can efficiently carry out the coupled analysis of whole model composed of mismatching finite element substructures through the proposed method without any remeshing or any additional unknown.

The Compensation Algorithm for Localization Using the Least-Squares Method in NLOS Environment (NLOS환경에서의 최소자승법을 적용한 위치인식 보정 알고리즘)

  • Jung, Moo-Kyung;Choi, Chang-Yong;Lee, Dong-Myung
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.37 no.4B
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    • pp.309-316
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    • 2012
  • The compensation algorithm for localization using the least-squires method in NLOS(Non Line of Sight) environment is suggested and the performance of the algorithm is analyzed in this paper. In order to improve the localization correction rate of the moving node, 1) the distance value of the moving node that is moving as an constant speed is measured by SDS-TWR(Symmetric Double-Sided Two-Way Ranging); 2) the location of the moving node is measured using the triangulation scheme; 3) the location of the moving node measured in 2) is compensated using the least-squares method. By the experiments in NLOS environment, it is confirmed that the average localization error rates are measured to ${\pm}1m$, ${\pm}0.2m$ and ${\pm}0.1m$ by the triangulation scheme, the Kalman filter and the least-squires method respectively. As a result, we can see that the localization error rate of the suggested algorithm is higher than that of the triangulation as average 86.0% and the Kalman filter as average 16.0% respectively.

Mobile Robot Velocity Estimation Using Redundant Number of Optical Mice (여유 개수의 광 마우스를 이용한 이동로봇 주행속도 추정)

  • Kim, Sung-Bok;Jeong, Il-Hwa;Lee, Sang-Hyup
    • Proceedings of the KIEE Conference
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    • 2007.04a
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    • pp.315-318
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    • 2007
  • 본 논문에서는 이동로봇 바닥에 설치된 여유 개수의 광 마우스를 이용하여 주행 중인 이동로봇의 속도를 효율적으로 추정하는 방안에 대해 기술한다. 먼저, 이동로봇의 속도 벡터와 광 마우스의 속도 벡터간의 관계를 과결정 선형시스템(Overdetermined Linear System)으로 표현한다. 다음, 과결정 시스템에 대한 최소자승 해(Least Squares Solution)로써 이동로봇의 주행 속도를 효율적으로 추정한다. 마지막으로 시뮬레이션을 통해 제안된 이동로봇 주행 속도 추정법의 유효성을 확인한다.

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Positioning Blueprints with Moving Least Squares Optimization (이동최소자승법 최적화를 이용한 도면 배치)

  • Kim, Jong-Hyun
    • Journal of the Korea Computer Graphics Society
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    • v.23 no.4
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    • pp.1-9
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    • 2017
  • We propose an efficient method to determine the position of blueprint by using a vector field with optimized MLS(Moving Least Squares). Typically, a professional architectural design office takes a long time to work as well as a high processing cost because the designer manually determines the location to place the buildings in a specific area. In order to solve this inefficient problem, we propose a method to automatically determine the location of the blueprint based on the optimized MLS method. In the proposed framework, the designer selects the desired region in the actual city data and calculates the flow of the vector based on the region. Use the optimized MLS method to extract the vector field and determine the amount of rotation of the drawing based on this field. The location of the blueprint determined by the proposed method is very similar to the flow seen when the actual building is located. As a result, the efficiency of the overall architectural design process is further improved by reducing the designer's inefficient workforce.

Efficient Learning Representation for Vector Field Generation Based on Divergence-Constrained Moving Least Squares (발산제약 이동최소자승법 기반 벡터장을 생성하기 위한 효율적인 학습 표현)

  • Jiwon Jang;Subin Lee;Jong-Hyun Kim
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2024.01a
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    • pp.419-422
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    • 2024
  • 본 논문에서는 다항식 보간법의 일종인 이동최소자승법(Moving least squares, MLS)을 네트워크로 학습하여, Divergence-constrained MLS 벡터장을 효율적으로 표현하는 방법을 제안한다. 벡터장을 구성하기 위해 MLS는 스칼라가 아닌 벡터 보간을 해야 하므로 행렬과 벡터의 크기가 더 커지며, 이는 계산량이 커짐을 나타낸다. 고차 보간(High-order interpolation)이 가능한 특징은 장점이 되지만, 계산량이 매우 크기 때문에 시뮬레이션에는 활용이 어렵다. Divergence-constrained MLS를 유체 시뮬레이션에 적용한 경우가 있지만, 실제로 슈퍼컴퓨터(Supercomputer)를 해야 장면 제작이 가능하므로 효용성이 떨어진다. 본 논문에서는 이러한 문제를 해결하기 위해 네트워크 학습을 통한 Divergence-constrained MLS 벡터장을 표현할 수 있는 결과를 보여준다.

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Performance Analysis of the Localization Compensation Algorithm for Moving Objects Using the Least-squares Method (최소자승법을 적용한 이동객체 위치인식 보정 알고리즘 성능분석)

  • Jung, Moo Kyung;Lee, Dong Myung
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.39C no.1
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    • pp.9-16
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    • 2014
  • The localization compensation algorithm for moving objects using the least-squares method is suggested and the performance of the algorithm is analyzed in this paper. The suggested compensation algorithm measures the distance values of the mobile object moving as a constant speed by the TMVS (TWR Minimum Value Selection) method, estimates the location of the mobile node by the trilateration scheme based on the values, and the estimated location is compensated using the least-squares method. By experiments, it is confirmed that the localization performance of the suggested compensation algorithm is largely improved to 58.84% and 40.28% compared with the conventional trilateration method in the scenario 1 and 2, respectively.

A Study on the Development of Shape Functions of Polyhedral Finite Elements (다면체 유한요소의 형상함수 개발에 관한 연구)

  • Kim, Hyun-Gyu
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.27 no.3
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    • pp.183-189
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    • 2014
  • In this paper, a polyhedral element is presented to solve three-dimensional problems by developing shape functions based on Wachspress coordinates and moving least square approximation. A subdivision of polyhedrons into tetrahedral domains is performed for the construction of shape functions of polyhedral elements, and numerical integration of the weak form is carried out consistently over the tetrahedral domains. The weight functions for moving least square approximation are defined by solving Laplace equation with boundary values based on Wachspress coordinates on polyhedral element faces. Polyhedral elements presented in this paper have similar properties to conventional finite element regarding the continuity, the completeness, the node-element connectivity and the inter-element compatibility. Numerical examples show the effectiveness of the present method for solving three-dimensional problems using polyhedral elements.

The East Moving Least Square Reproducing Kernel Approximation and Point Collocation Method (고속 최소 자승법을 이용한 점별 계산법)

  • 김용식;김도완
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2002.10a
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    • pp.567-574
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    • 2002
  • 새로운 자유격자 관사를 이용한 점별 계산법을 제안한다 이동 최소 자승법을 이용한 기저의 생성과 기저의 근사적 미분을 동시에 구해내는 자유격자 근사를 유도하여, 직접 점별 계산법을 고안하였다. 기존의 자유 격자 법에서는 기저의 직접 미분을 사용하므로 높은 계산 비용이 필요하지만, 이 논문에서 제안된 방법은 기저의 생성과 동시에 기저의 근사적 미분을 구하게 된다. 또한 기존의 방법에서 필요하였던, 창 함수(window function)의 미분가능성을 연속성으로 대치할 수 있으므로, 주어진 문제에 따라 다양한 창 함수를 이용할 수 있다. 기저의 재생성과 interpolation의 수렴성을 소개하고, 수치 예제로서, Poisson 문제를 통해 이 방법의 유효함을 보인다.

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