• Title/Summary/Keyword: 무게중심 좌표계

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Simple Implementation of Space Vector PWM using Barycentric Coordinates (무게중심좌표계에 의한 공간벡터 PWM의 간단한 구현방법)

  • Choi, Nam-Sup;Lee, Eun-Chul
    • Proceedings of the KIPE Conference
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    • 2015.07a
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    • pp.45-46
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    • 2015
  • 본 논문에서는 무게중심좌표계에 의한 공간벡터 PWM의 간단한 구현방법을 제안한다. 무게중심좌표계를 사용하면 듀티비를 계산할 때 SIN, COS의 함수계산없이 단순한 사칙연산만을 사용하고 기준벡터가 속한 섹터에 따라 서로 다른 듀티비를 정하는 식을 유도할 필요가 없으며 듀티비가 어떻게 정해지는지에 대한 직관적인 이해를 할 수 있다. 본 논문에서는 무게중심 좌표계에서 공간벡터 PWM의 듀티비를 정하는 원리에 대하여 설명한다.

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Shape Description and Recognition Using the Relative Distance-Curvature Feature Space (상대거리-곡률 특징 공간을 이용한 형태 기술 및 인식)

  • Kim Min-Ki
    • The KIPS Transactions:PartB
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    • v.12B no.5 s.101
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    • pp.527-534
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    • 2005
  • Rotation and scale variations make it difficult to solve the problem of shape description and recognition because these variations change the location of points composing the shape. However, some geometric Invariant points and the relations among them are not changed by these variations. Therefore, if points in image space depicted with the r-y coordinates system can be transformed into a new coordinates system that are invariant to rotation and scale, the problem of shape description and recognition becomes easier. This paper presents a shape description method via transformation from the image space into the invariant feature space having two axes: representing relative distance from a centroid and contour segment curvature(CSC). The relative distance describes how far a point departs from the centroid, and the CSC represents the degree of fluctuation in a contour segment. After transformation, mesh features were used to describe the shape mapped onto the feature space. Experimental results show that the proposed method is robust to rotation and scale variations.

Log-Polar Image Watermarking based on Invariant Centroid as Template (불변의 무게중심을 템플릿으로 이용한 대수-극 좌표계 영상 워터마킹 기법)

  • 김범수;유광훈;김우섭;곽동민;송영철;최재각;박길흠
    • Journal of KIISE:Computing Practices and Letters
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    • v.9 no.3
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    • pp.341-351
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    • 2003
  • Digital image watermarking is the method that can protect the copyright of the image by embedding copyright information, which is called watermark. Watermarking must have robustness to intentional or unintentional data changing, called attack. The conventional watermarking schemes are robust to waveform attacks such as image compression, filtering etc. However, they are vulnerable to geometrical attacks such as rotation, scaling, translation, and cropping. Accordingly, this paper proposes new watermarking scheme that is robust to geometrical attacks by using invariant centroid. Invariant centroid is the gravity center of a central area in a gray scale image that remains unchanged even when the image is attacked by RST including cropping and proposed scheme uses invariant centroids of original and inverted image as the template. To make geometrically invariant domain, template and angle compensated Log -Polar Map(LPM) is used. Then Discrete Cosine Transform(DCT) is performed and the watermark is embedded into the DCT coefficients. Futhermore, to prevent a watermarked image from degrading due to interpolation during coordinate system conversion, only the image of the watermark signal is extracted and added to the original image. Experimental results show that the proposed scheme is especially robust to RST attacks including cropping.

The Transition Invariant Feature Extraction of the Character using the Spherical Coordinate System (구 좌표계를 이용한 위치 불변 문자 특징 추출)

  • Seo, Choon-Weon
    • 전자공학회논문지 IE
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    • v.46 no.3
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    • pp.19-25
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    • 2009
  • In this paper, I suggested the character recognition methods which are used the centroid method and included the spherical transform from the rectangle coordination for the character recognition system and obtained the results of the above 78.14% average differential ratio for the character features. The character feature extraction system using the spherical transform method is suggested in this paper, and the possibilities of the method which is get the invariant feature for the character transition using the centroid are suggested through the differential ratio results.

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.

Motion Generation of a Single Rigid Body Character Using Deep Reinforcement Learning (심층 강화 학습을 활용한 단일 강체 캐릭터의 모션 생성)

  • Ahn, Jewon;Gu, Taehong;Kwon, Taesoo
    • Journal of the Korea Computer Graphics Society
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    • v.27 no.3
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    • pp.13-23
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    • 2021
  • In this paper, we proposed a framework that generates the trajectory of a single rigid body based on its COM configuration and contact pose. Because we use a smaller input dimension than when we use a full body state, we can improve the learning time for reinforcement learning. Even with a 68% reduction in learning time (approximately two hours), the character trained by our network is more robust to external perturbations tolerating an external force of 1500 N which is about 7.5 times larger than the maximum magnitude from a previous approach. For this framework, we use centroidal dynamics to calculate the next configuration of the COM, and use reinforcement learning for obtaining a policy that gives us parameters for controlling the contact positions and forces.

The Image Position Measurement for the Selected Object out of the Center using the 2 Points Polar Coordinate Transform (2 포인트 극좌표계 변환을 이용한 중심으로부터의 목표물 영상 위치 측정)

  • Seo, Choon Weon
    • Journal of the Institute of Electronics and Information Engineers
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    • v.52 no.11
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    • pp.147-155
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    • 2015
  • For the image processing system to be classified the selected object in the nature, the rotation, scale and transition invariant features is to be necessary. There are many investigations to get the information for the object processing system and the log-polar transform which is to be get the invariant feature for the scale and rotation is used. In this paper, we suggested the 2 points polar coordinate transform methods to measure the selected object position out of the center in input image including the centroid method. In this proposed system, the position results of objects are very good, and we obtained the similarity ratio 99~104% for the object coordinate values.

An Efficient Rendering Method of Object Representation Based on Spherical Coordinate System (물체의 구 좌표계 표현을 이용한 효율적인 렌더링 방법)

  • Han, Eun-Ho;Hong, Hyun-Ki
    • Journal of Korea Game Society
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    • v.8 no.3
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    • pp.69-76
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    • 2008
  • This paper presents a novel rendering algorithm based on sperical coordinate representation of the object. The vertices of the object are transformed into the sperical coordinate system, and we construct additional maps: the centroid and index of the triangle, the memory access table. While OpenGL rendering pipeline touches all vertices of an object, the proposed method takes account of the only visible vertices by examining the visible triangles of the object. Simulation results demonstrated that the proposed method achieve an efficient rendering performace.

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Face Region Extraction for the Facial Expression Recognition System (얼굴 표정 인식 시스템을 위한 얼굴 영역 추출)

  • Lim Ju-Hyuk;Song Kun-Woen
    • Annual Conference of KIPS
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    • 2004.11a
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    • pp.903-906
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    • 2004
  • 본 논문에서는 얼굴 표정 인식 시스템을 위한 얼굴 영역 추출 알고리즘을 제안한다. 이는 입력 영상으로부터 얼굴 후보 영역을 추출하고, 추출된 얼굴 후보 영역에서 눈의 위치를 정확히 추출한다. 그리고 추출된 눈 영역들의 정보와 타원 방정식을 이용하여 최종 얼굴 영역을 추출한다. 얼굴 후보 영역은 HSI 칼라 좌표계에 기반한 적응적 피부색 구간 범위를 설정하여 추출하였다. 추출된 얼굴 후보 영역에서의 눈 영역 추출을 위해 밝기 정보를 이용하여 먼저 눈의 후보 화소들을 추출하고, 레이블링 과정을 통하여 영역별로 그룹화하였다. 각 후보 영역들의 화소 수, 가로세로비 및 위치 정보를 고려하여 최종 눈 영역을 추출하였다. 추출된 두 눈 영역에서 무게중심을 구하고 이를 이용하여 장축과 단축을 설정하여 타원방정식을 이용 최종 얼굴 영역을 추출하였다. 제안된 알고리즘은 조명 변화, 다양한 배경들을 가지는 얼굴 영상에서도 정확히 얼굴 영역을 추출할 수 있었다.

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Meduim Vector PWM for Elimination of Common Mode Voltage Variation in Three-level Inverter (3-레벨 인버터의 공통모드 전압 변동 제거를 위한 Medium Vector PWM)

  • Choi, Nam-Sup;Lee, Eun-Chul;Ahn, Kang-Soon
    • Proceedings of the KIPE Conference
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    • 2014.11a
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    • pp.205-206
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    • 2014
  • 본 논문에서는 3-레벨 인버터 시스템에서 공통 모드 전압 변동 제거를 위한 새로운 Medium Vector PWM(MVPWM)을 제안한다. 제안된 MVPWM의 특징은 다음과 같다. 1) 스위칭 상태와 관계없이 공통모드 전압은 일정하게 유지된다. 2) 무게 중심좌표계 방법에 의하여 구현되므로 구현이 간단하고 직관적이다. 본 논문에서는 시뮬레이션을 통하여 제안된 MVPWM의 위와 같은 특성을 밝히고 태양광 인버터의 제어에 적합함을 입증하였다.

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