• Title/Summary/Keyword: pseudoinverse

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Objective Naturalness and Urbanness Evaluation of Animation Images

  • Wang, Wanting;Kim, Jae Ho
    • Proceedings of the Korea Contents Association Conference
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    • 2013.05a
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    • pp.43-44
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    • 2013
  • In my paper, an evaluation method on naturalness and urbanness characterizations of animation image is proposed. In contrast to the prior works, we intend to give the exact degree of naturalness and urbanness by combining the low-level visual feature-based schemes with the biological visual schemes. In our method, four descriptors are extracted and pseudoinverse is adopted. By this method, we can experiment on the exact degree of naturalness and urbanness with satisfactory results.

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Kinematic Modeling of Mobile Robots by Transfer Method of Generalized Coordinates (좌표계 전환기법을 활용한 모바일 로봇의 기구학 모델링)

  • 김도형;김희국;이병주
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.44-44
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    • 2000
  • Firstly, kinematic model of various type of wheels which includesskidding and skidding friction are presented. Tend, the transfer method of generalized coordinates which is useful to model the parallel mechanisms, can be applied to mobile robot by including such friction terms. Particularly, by appling the modeling method to mobile robot consisting of two conventional wheels and one caster wheel, forword/reverse kinematic modeling could be obtained without using pseudoinverse solutions.

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Associative Memories for 3-D Object (Aircraft) Identification (연상 메모리를 사용한 3차원 물체(항공기)인식)

  • 소성일
    • Information and Communications Magazine
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    • v.7 no.3
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    • pp.27-34
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    • 1990
  • The $(L,\psi)$ feature description on the binary boundary air craft image is introduced of classifying 3-D object (aircraft) identification. Three types for associative matrix memories are employed and tested for their classification performance. The fast association involved in these memories can be implemented using a parallel optical matrix-vector operation. Two associative memories are based on pseudoinverse solutions and the third one is interoduced as a paralell version of a nearest-neighbor classifier. Detailed simulation results for each associative processor are provided.

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Parameter Estimation of Permanent Magnet Synchronous Motors using a Least Squares Method (최소자승법을 이용한 영구자석 동기전동기의 파라미터 추정)

  • Kwon, Ki-Hoon;Lee, Kyo-Beum
    • Proceedings of the KIPE Conference
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    • 2018.11a
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    • pp.175-176
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    • 2018
  • This paper presents a method to estimate the parameter of permanent magnet synchronous motor using a least squares method. The approximate solution of the linear simultaneous equations is obtained by the pseudoinverse least squares method of the input current and output voltage data of the current controller. It is possible to obtain the current response of the same bandwidth to the general control target by using the Pole-zero Cancellation technique. This paper verifies the performance of the proposed method by comparing the results of estimation of parameters of different motors by simulation.

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Trajectory planning for redundant robot by joint disturbance torque minimization (여유자유도 로봇의 관절외란최소화를 이용한 궤적계획)

  • 최명환;최병진
    • 제어로봇시스템학회:학술대회논문집
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    • 1997.10a
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    • pp.1581-1584
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    • 1997
  • This paper poropsed an efficient optimization technuque to resolve redundancy and a trajectory planning for a high precision control using proposed optimization technique. The proposed techniqus is the joint disturbance torque optimizatioin considering redundancy in the joing servo control. Joint disturbance torque is not unknown it is described dynamic equation ignored friction and viscosity. The proposed technique is used the dynamic equatiion included the joint disturbance torque characteristics. Numerical example of 3 joint planar redundant robot manipulator is simulated. In the 2-norm minimization of joint disturbance torque we compared pseudoinverse local optimization with proposed technique, and the results showed better the proposed technique. So the proposed technique can be highly precision controlled redundant robot manipulators in the joint servo control.

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Sparse Representation Learning of Kernel Space Using the Kernel Relaxation Procedure (커널 이완절차에 의한 커널 공간의 저밀도 표현 학습)

  • 류재홍;정종철
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2001.12a
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    • pp.60-64
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    • 2001
  • In this paper, a new learning methodology for Kernel Methods is suggested that results in a sparse representation of kernel space from the training patterns for classification problems. Among the traditional algorithms of linear discriminant function(perceptron, relaxation, LMS(least mean squared), pseudoinverse), this paper shows that the relaxation procedure can obtain the maximum margin separating hyperplane of linearly separable pattern classification problem as SVM(Support Vector Machine) classifier does. The original relaxation method gives only the necessary condition of SV patterns. We suggest the sufficient condition to identify the SV patterns in the learning epochs. Experiment results show the new methods have the higher or equivalent performance compared to the conventional approach.

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SINGULAR CASE OF GENERALIZED FIBONACCI AND LUCAS MATRICES

  • Miladinovic, Marko;Stanimirovic, Predrag
    • Journal of the Korean Mathematical Society
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    • v.48 no.1
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    • pp.33-48
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    • 2011
  • The notion of the generalized Fibonacci matrix $\mathcal{F}_n^{(a,b,s)}$ of type s, whose nonzero elements are generalized Fibonacci numbers, is introduced in the paper [23]. Regular case s = 0 is investigated in [23]. In the present article we consider singular case s = -1. Pseudoinverse of the generalized Fibonacci matrix $\mathcal{F}_n^{(a,b,-1)}$ is derived. Correlations between the matrix $\mathcal{F}_n^{(a,b,-1)}$ and the Pascal matrices are considered. Some combinatorial identities involving generalized Fibonacci numbers are derived. A class of test matrices for computing the Moore-Penrose inverse is presented in the last section.

Compliance Paradigms for Kinematically Tedundant Manipulators

  • Park, Jonghoon;Chung, W.K.;Youm, Y.
    • 제어로봇시스템학회:학술대회논문집
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    • 1993.10a
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    • pp.914-919
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    • 1993
  • The kinematic resolutions of redundancy is addressed in this paper. The governing equation for quasistatic behavior of compliance governed redundant manipulators is formulated and the repeatable property of the manipulator is proposed. Then the compliance paradigm is used to resolve the redundancy in a repeatable way. The compliance paradigm is one under which the controller simulates the imaginary manipulator which is governed to move by real joint stiffness. The equation is expressed as the weighted pseudoinverse with the configuration dependent weighting matrix. Algorithmic singularities arisen from this scheme are also discussed.

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An Efficient Computation Method for Kinematic Control of Redundant Manipulators (여유 자유도를 갖는 미니퓰레이터의 기구학적 제어를 위한 효율적 계산 방법)

  • 이경수;서일홍;임준홍
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.25 no.4
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    • pp.379-385
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    • 1988
  • A kinematic control for redundant manipulators is consisdered. An efficient computation method is proposed to determine the joint variable solutions for a given Cartesian path of the end effector. In the proposed method, the Jacobian matrix and its pseudoinverse matrix are calculated intermittently only when the errors exceed the prescribed tolerance. Thereby, the computational burdens are greatly reduced, and at the same time, the errors are maintained within a tolerable range. To show the effectiveness of the mehtod, the result of the simulation is provided in which the redundancy of the manipulator is resolved to avoid the singularity.

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Redundancy Utilizations of Redundant Robot Manipulators Based on Configuration Control (형태제어에 기초한, 여유자유도를 갖는 로보트 머니퓰레이터의 여유자유도 이용에 관한 연구)

  • ;Homayoun Seraji
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.41 no.4
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    • pp.422-432
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    • 1992
  • Previous investigations of redundant manipulators have often focussed on local optimization for redundancy resolution by using the Jacobian pseudoinverse to solve the instantaneous relationship between the joint and end-effector velocities. This paper establishes some new goals for redundancy resolution at position level by using configuration control approach which has been recently developed. Minimum gravity loading, joint limit avoidance, minimum sensitivity, maximum stiffness and minimum impulse are introduced as redundancy resolution goals. These new goals for redundancy resolution allow more efficient utilizations of the redundant joints based on the desired task requirements. Simple computer simulation examples are given for illustration.

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