• Title/Summary/Keyword: 뉴턴

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An Inverse Dynamic Analysis of Lower Limbs During Gait (보행 중 하지 관절의 역동역학 해석)

  • 송성재
    • Journal of Biomedical Engineering Research
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    • v.25 no.4
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    • pp.301-307
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    • 2004
  • An inverse dynamic model of lower limbs is presented to calculate joint moments during gait. The model is composed of 4 segments with 3 translational joints and 12 revolute joints. The inverse dynamic method is based on Newton-Euler formalism. Kinematic data are obtained from 3 dimensional trajectories of markers collected by a motion analysis system. External forces applied on the foot are measured synchronously using force plate. The use of developed model makes it possible to calculate joint moments for variation of parameters.

Development of a Dynamic Model for Real-Time Simulation of Tracked Vehicle (궤도차량의 실시간 시뮬레이션을 위한 동운동 모델 개발)

  • 안재준;오중석;윤석준
    • Proceedings of the Korea Society for Simulation Conference
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    • 2002.05a
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    • pp.189-195
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    • 2002
  • 궤도차량 운동의 실시간 시뮬레이션을 위해서 실시간 시간제약 조건을 만족하기 위한 모델링을 시도하였다. 단위 블록 열차로 연결된 전체 차체를 질점으로 가정하여 모델을 단순화함으로써 차량 설계 시 사용되는 궤도 차량 모델보다 실시간성을 향상시키고자 하였다. 당 모델에서 궤도차량의 운동은 트랙의 형상에 구속되는데, 차량의 운동 궤적은 궤도의 형상에 의해 결정된다. 단, 매 단위 시간마다에서 궤도 차량의 위치는 뉴턴의 제2법칙으로 결정된다. 본 모델링은 몇 개의 단위 트랙을 설정하여 이들의 조합으로 전체트랙을 설계할 수 있도록 사용자가 임의로 설계한 전체트랙에서 바로 실시간으로 시뮬레이션할 수 있는 특징을 갖는다. 당 궤도차량 운동 모델은 전동차, 철도, 롤러코스터의 궤도 설계 등에 사용될 수 있으며, 주 용도는 롤러코스터 게임 시뮬레이터에서 동 특성을 비교적 엄밀하게 시뮬레이션 하는데 있다.

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The State Space Identification Model of the Dynamic System using Neural Networks (신경회로망을 이용한 동적 시스템의 상태 공간 인식 모델)

  • 이재현;탁환호;이상배
    • Journal of the Korean Institute of Intelligent Systems
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    • v.10 no.5
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    • pp.442-448
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    • 2000
  • The conventional control of dynamic systems needs accurate mathematical modeling of control systems. But the modeling of dynamic systems require very complex computation process due to complex state equation and many control parameters. Accordingly this paper proposes a state space identification model of the dynamic system using neural networks. The Gauss-Newton method is used to train the proposed neural network and the effectiveness of proposed method is verified through the computer simulation of the Seesaw system identification problem.

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A Fast Forward Kinematic Analysis of Stewart Platform (스튜어트 플랫폼의 빠른 순기구학 해석)

  • Ha, Hyeon-Pyo;Han, Myeong-Cheol
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.25 no.3
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    • pp.339-352
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    • 2001
  • The inverse kinematics problem of Stewart platform is straightforward, but no closed form solution of the forward kinematic problem has been presented. Since we need the real-time forward kinematic solution in MIMO control and the motion monitoring of the platform, it is important to acquire the 6 DOF displacements of the platform from measured lengths of six cylinders in small sampling period. Newton-Raphson method a simple algorithm and good convergence, but it takes too long calculation time. So we reduce 6 nonlinear kinematic equations to 3 polynomials using Nairs method and 3 polynomials to 2 polynomials. Then Newton-Raphson method is used to solve 3 polynomials and 2 polynomials respectively. We investigate operation counts and performance of three methods which come from the equation reduction and Newton-Raphson method, and choose the best method.

Historical Background for Derivation of the Differential Equation mẍ+kx = f(t) (미분방정식 mẍ + kx = f(t)의 역사적 유도배경)

  • Park, Bo-Yong
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.21 no.4
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    • pp.315-324
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    • 2011
  • This paper presents a historical study on the derivation of the differential equation of motion for the single-degree-of-freedom m-k system with the harmonic excitation. It was Euler for the first time in the history of vibration theory who tackled the equation of motion for that system analytically, then gave the solution of the free vibration and described the resonance phenomena of the forced vibration in his famous paper E126 of 1739. As a result of the chronological progress in mechanics like pendulum condition from Galileo to Euler, the author asserts two conjectures that Euler could apply to obtain the equation of motion at that time.

A study on the flow characteristics of non-Newtonian fluid flows in dividing tubes (분기관에서 비뉴턴 유체의 유동특성에 관한 연구)

  • 이행남;하옥남;전운학
    • Journal of Ocean Engineering and Technology
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    • v.10 no.4
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    • pp.118-127
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    • 1996
  • Flow patterns of fluid flow in dividing trbe were visualized, and the energy losses due to dividing were measured in laminar dividing flow of the viscoelastic fluid and its solution in tube junctions with dividing angles of $90^{\circ}$, $60^{\circ}$, $65^{\circ}$ and $15^{\circ}$. Two separation zones were observed. swelling of the streamline to the main tube or to lateral tube was observed. The sizes of the separation zones depend on the Reynolds number, the dividing angle and the dividing flow rate. The energy loss coefficients decrease with increasing Reynolds number, but their decreasing rate decreases with increasing Reynolds number as the sizes of the separation zone increase. The effect of dividing angle on the energy loss coefficients and separation is greater for main tube than for the lateral tube.

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Numerical Analysis of Branch Flows for Newtonian and Non-Newtonian Fluids (뉴턴유체와 비뉴턴유체에 대한 분기관 유동의 수치해석)

  • 서상호;유상신;노형운
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.18 no.10
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    • pp.2762-2772
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    • 1994
  • Branch flows for Newtonian and non-Newtonian fluids are simulated by the finite volume method. The modified power-law model is employed as a constitutive equation of the non-Newtonian fluids. Numerical analyses are focused on understanding of flow patterns for different values of branch angles, diameter ratios and Reynolds numbers. The numerical results are compared with the existing experimental data. The calculated velocity profiles and pressure variations are in good agreement with available experimental results.

A Predicted Newton-Raphson Iterative Method utilizing Neural Network (신경회로망을 이용한 예측 뉴턴-랩손 반복계산기법)

  • Kim, Jong-Hoon;Kim, Yong-Hyup
    • Proceedings of the KSME Conference
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    • 2000.04a
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    • pp.339-344
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    • 2000
  • Newton-Raphson 기법은 구조물의 비선형 해석에 널리 쓰이는 반복계산기법이다. 비선형 해석을 위한 반복계산기법은 컴퓨터의 발달을 감안해도 상당한 계산시간이 소요된다. 본 논문에서는 신경회로망 예측을 사용한 Predicted Newton-Raphson 반복계산기법을 제안하였다. 통상적인 Newton-Raphson 기법은 이전스텝에서 수렴된 점으로부터 현재 스텝의 반복계산을 시작하는 반면 제시된 방법은 현재 스텝 수렴해에 대한 예측점에서 반복계산을 시작한다. 수렴해에 대한 예측은 신경회로망을 사용하여 이전 스텝 수렴해의 과거경향을 파악한 후 구한다. 반복계산 시작점이 수렴점에 보다 근접하여 위치하므로 수렴속도가 빨라지게 되고 허용되는 하중스텝의 크기가 커지게 된다. 또한 반복계산의 시작점으로부터 이루어지는 계산과정은 통상적인 Newton-Raphson 기법과 동일하므로 기존의 Newton-Raphson 기법과 정확히 일치하는 수렴해를 구할 수 있다. 구조물의 정적 비선형 거동에 대한 수치해석을 통하여 modified Newton-Raphson 기법과 제시된 Predicted Newton=Raphson 기법의 정확성과 효율성을 비교하였다. 제시된 Predicted Newton-Raphson 기법은 modified Newton-Raphson 기법과 동일한 해를 산출하면서도 계산상의 효율성이 매우 큼을 확인할 수 있었다.

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Analysis of hemodynamics in cerebral artery related to moyamoya disease (모야모야병과 연관된 뇌동맥에서의 혈류역학 분석)

  • Lee, Seung-Cheol;Lim, Ki-Moo;Shim, Eun-Bo
    • Proceedings of the KSME Conference
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    • 2008.11a
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    • pp.1647-1650
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    • 2008
  • The moyamoya disease is a type of cerebrovascular disease which produces thin abnormal blood vessels like haze in the brain base because the end of internal carotid artery which supplies about 80% of blood is blocked. Regarding this moyamoya disease, the shearing stress and thrombus generation are mentioned as its main causes. This study three-dimensionally implemented the ICA, ACA, and MCA parts of the cerebrovascular configuration related to the moyamoya disease, and analyzed the hydrodynamic phenomenon with the commercial program ADINA. In particular, the correlations between shearing stress and speed distribution according to the branch angle of ACA and MCA. A numerical analysis found that the greater the branch angle of ACA and MCA, the lower the shearing stress and the greater the stationary area of the flow.. Put Abstract text here.

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Enumerate tropical algebraic curves (열대곡선 헤아리기)

  • Kim, Young Rock;Shin, Yong-Su
    • Journal for History of Mathematics
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    • v.30 no.3
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    • pp.185-199
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    • 2017
  • In tropical geometry, the sum of two numbers is defined as the minimum, and the multiplication as the sum. As a way to build tropical plane curves, we could use Newton polygons or amoebas. We study one method to convert the representation of an algebraic variety from an image of a rational map to the zero set of some multivariate polynomials. Mikhalkin proved that complex curves can be replaced by tropical curves, and induced a combination formula which counts the number of tropical curves in complex projective plane. In this paper, we present close examinations of this particular combination formula.