• Title/Summary/Keyword: (비)정합성

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Development of Digital PWM Attitude Controller for Nonlinear Artificial Satellites Using Intelligent Digital Redesign (지능형 디지털 재설계를 이용한 비선형 인공위성의 디지털 PWM 정밀 자세 제어기의 개발)

  • Joo, Young-Hoon;Lee, Ho-Jae;Park, Jin-Bae
    • Journal of the Korean Institute of Intelligent Systems
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    • v.14 no.6
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    • pp.726-731
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    • 2004
  • This paper proposes a pulse-width-modulation (PWM) controller design technique using intelligent digital redesign. Intelligent digital redesign is to convert a well-designed analog fuzzy-model-based controller into an equivalent pulse-amplitude-modulation (PAM) digital controller maintaining the original analog control system in the sense of state-matching. In similar line of conversion concept, the redesigned PAM intelligent digital controller is converted into a PWM controller using the equivalent area principle. To convincingly visualize the proposed technique, an computer simulation example-attitude control of nonlinear artificial satellite system is included.

Realistic 3D model generation of a real product based on 2D-3D registration (2D-3D 정합기반 실제 제품의 사실적 3D 모델 생성)

  • Kim, Gang Yeon;Son, Seong Min
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.11
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    • pp.5385-5391
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    • 2013
  • As on-line purchases is activated, customers' demand increases for the realistic and accurate digital information of a product design. In this paper, we propose a practical method that can generate a realistic 3D model of a real product using a 3D geometry obtained by a 3D scanner and its photographic images. In order to register images to the 3D geometry, the camera focal length, the CCD scanning aspect ratio and the transformation matrix between the camera coordinate and the 3D object coordinate must be determined. To perform this 2D-3D registration with consideration of computational complexity, a three-step method is applied, which consists of camera calibration, determination of a temporary optimum translation vector (TOTV) and nonlinear optimization for three rotational angles. A case study for a metallic coated industrial part, of which the colour appearance is hardly obtained by a 3D colour scanner has performed to demonstrate the effectiveness of the proposed method.

Effective Reconstruction of Stereo Image through Regularized Adaptive Disparity Estimation Scheme (평활화된 적응적 변이추정 기법을 이용한 스테레오 영상의 효과적인 복원)

  • Kim, Yong-Ok;Bae, Kyung-Hoon;Kim, Eun-Soo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.28 no.4C
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    • pp.424-432
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    • 2003
  • In this paper, an effective method of stereo image reconstruction through the regularized adaptive disparity estimation is proposed. Althougth the conventional adaptive disparity estimation method can sharply improve the PSNR of a reconstructed stereo image, but some problems of overlapping between the matching windows and disallocation of the matching windows can be occurred, because the matching window size changes adaptively in accordance with the magnitude of feature values. Accordingly, in thia paper, a new regularized adaptive disparity estimation technique is proposed. That is, by regularizing the estimated disparity vector with the neughboring disparity vectors, problems of the conventional adaptive disparity estimated scheme might be solved, and also the predicted stereo image can be more effectively reconstructed. From some experiments using the CCETT'S stereo image pairs of 'Man' and 'Claude', it is analyzed that the proposed disparity estimation scheme can improve PSNRs of the reconstructed images to 10.89dB, 6.13dB for 'Man' and 1.41dB, 0.81dB for 'Claude' by comparing with those of the conventional pixel-based and adaptive estimation method, respectively.

Robust Impedance Control Using Robot Using ISMC and Backstepping in Flexible Joint Robot (ISMC와 백스테핑을 이용한 유연관절로봇의 강인한 임피던스제어)

  • Kwon, Sung-Ha;Park, Seung-kyu;Kim, Min-chan
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.3
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    • pp.643-650
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    • 2017
  • The control of flexible joint robot is getting more attentions because its applications are more frequently used for robot systems in these days. This paper proposes a robust impedance controller for the flexible joint robot by using integral sliding mode control and backstepping control. The sliding mode control decouple disturbances completely but requires matching condition for disturbances. The dynamic model of flexible joint robot is divided into motor side and link side and the disturbance of the link side does not satisfy matching condition and cannot be decoupled directly by the actual input in the motor side. To overcome this difficulty, backstepping control technique is used with sliding mode control. The mismatched disturbance in the link side is changed into matched one in the respect to virtual control input which is the state controlled by actual input in the motor side. Integral sliding mode control is used to preserve the impedance control performance and the improved robustness at the same time.

Performance Analysis of the Pre-Whitening Matched Filter in Shallow Water Environment (천해환경에서 선-백색화 정합필터의 성능 분석)

  • Yu, Seog-Kun;Kim, Jeong-Goo;Joo, Eon-Kyeong
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.45 no.12
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    • pp.152-158
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    • 2008
  • In shallow water environment, the detection performance of an active sonar using matched filter with LFM(linear frequency modulation) pulse can be seriously degraded by reverberation which is considered as non-white noise. To reduce the effect of reverberation, a whitening filter preceding the matched fitter, is usually adopted. In the conventional pre-whitening filter, it is assumed that local stationarity is preserved between detection block and its right ahead block. And then by using the characteristics of the reverberation of preceding block, the reverberation of detection block is estimated and whitened. According to the environment of shallow water, the stationarity of reverberation may be preserved for more blocks. In this case, the reverberation of the detection block can be estimated more accurately if more blocks are used. In this paper, the real reverberation signal which is obtained from shallow sea is analyzed and its proper region of estimation block is examined. And the performance of pre-whitening matched filter is compared and analyzed according to the region of estimation block.

A Study on the Agreement and Bias between Parents' Proxy report and Self-report of People with Developmental Disabilities (발달장애인 부모의 대리 의사표시의 정합도와 편향에 관한 연구)

  • Chun, Dong-il;Jeon, Ji-Hye
    • Journal of Convergence for Information Technology
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    • v.9 no.5
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    • pp.201-209
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    • 2019
  • The purpose of this study is to analyze whether parents with developmental disabilities are well represented by the persons with developmental disabilities. Analysis data is based on the data from the Survey on Disability Survey in 2014. We analyzed the consistency and biases of the parent's proxy respondents' opinions by the degree of agreement between the contents of the person with developmental disabilities and the value of items that the parents answered on behalf of the development disabled. First, the parents' proxy respondents responded well to the actual situation such as life satisfaction for the developmental disabled, while the parental proxy respondents showed the positive bias to overestimate the cost items and the negative bias to recognize the discrimination. Second, in relation to independent living, the majority of the parents of the developmental disabled respondents had a high agreement with the developmental disabled person. However, about 5 ~ 10% of the parents' proxy respondents seem to have a tendency to distort the independent living policy by preferring non-standard housing types, unlike those with developmental disabilities. Based on this, it was proposed that the respondents should be able to receive the answers of the possible parties in the future research on desire and independent living related intention toward the developmental disabled, and the research on the matching of the proxy response is needed in a multidimensional manner.

A Stereo Matching Based on A Genetic Algorithm Using A Multi-resolution Method and AD-Census (다해상도 가법과 AD-Census를 이용한 유전 알고리즘 기반의 스테레오 정합)

  • Hong, Seok-Keun;Cho, Seok-Je
    • Journal of the Institute of Convergence Signal Processing
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    • v.13 no.1
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    • pp.12-18
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    • 2012
  • Stereo correspondence is the central problem of stereo vision. In this paper, we propose a stereo matching scheme based on a genetic algorithm using a multi-resolution method and AD-Census. The proposed approach considers the matching environment as an optimization problem and finds the disparity by using a genetic algorithm And adaptive chronosome structure using edge pixels and crossover mechanism are employed in this technique. A cost function is composes of certain constraints whice are commonly used in stereo matching. AD-Census measure is applied to reduce disparity error. To increase the efficiency of process, we apply image pyramid method to stereo matching and calculate the initial disparity map at the coarsest resolution. Then initial disparity map is propagated to the next finer resolution, interpolated and performed disparity refinement using local feature vector. We valid our method not only reduces the search time for correspondence compared with conventional GA-based method but also ensures the validity of matching.

Fast VQ Encoding Algorithm (백터 양자화의 고속 부호화 알고리즘)

  • 채종길;황금찬
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.19 no.4
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    • pp.685-690
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    • 1994
  • A problem associated with vector quantization(VQ) is the computational complexity incurred in searching for a codevector with the closet to a given input vector, where the complexity increases exponentionally with proportion to codebook size and then limits practical application. In this paper, a simple and fast, but efficient, VQ encoding algorithm is presented using a reference codevector as start codevector of premature exit condition, which eliminates distance claculation of unlikely codevectors. The algorithm is to find reference codevector having the possibility to be the nearest vector to input vector first and then to incorporate premature exit condition. The proposed algorithm needs only 10~15% of mathematical operations compared with the conventional full search VQ. Algorithm the number of additions and comparsions of the proposed algorithm is not reduced greatly, the number of multiplication is reduced up to 70~80% compared with other fast VQ encoding methods.

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Stabilizing Camera Poses in Marker Tracking Using History Buffer (히스토리 버퍼를 사용하여 떨림 현상을 줄이는 마커 추적)

  • Yoon, Jong-Hyun;Lee, Bum-Jong;Park, Jong-Seung
    • Proceedings of the Korean Information Science Society Conference
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    • 2006.10b
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    • pp.448-452
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    • 2006
  • 본 논문에서는 특정 마커를 사용하는 실감형 증강현실 시스템 상에서 카메라가 비정형적인 움직임을 하는 경우에 대하여, 다중 마커를 사용한 떨림 현상을 줄인 실시간 움직임 추적 기법을 제안하고자 한다. 카메라의 움직임을 추정하기 위하여 카메라와 마커 사이의 변환을 계산해야 한다. 이미지로부터 검출된 각 마커의 네 모서리 점들을 이용하여, 각 마커에 대한 변환을 계산한다. 마커는 서로 다른 로컬 좌표계를 가지고 있고, 마커에 대한 변환은 해당 마커의 좌표계에 의해 정의된다. 다중 마커의 로컬 좌표계로부터 최적의 카메라 움직임을 추정하기 위한 정합 알고리즘을 제안한다. 정합을 위한 방법으로 레퍼런스 마커를 사용한다. 레퍼런스 마커는 정합 과정에서 자동적으로 선택된다. 레퍼런스 마커를 기준으로 각 마커의 변환에 대해 신뢰성(confidence rate)을 기반으로 가중치를 적용함으로써 최적의 카메라 움직임을 추정할 수 있다. 또한 추정된 카메라의 움직임의 최적화를 위하여 히스토리 버퍼를 사용하여 떨림 현상을 제거하는 방법을 제안한다. 추정된 카메라의 위치에 대한 평균 필터 및 중간 필터의 개념과 유사한 보정 방법을 통해 떨림 현상을 제거한다. 실험을 통해 다른 방법들과 비교한 우리가 제안한 방법의 정확성을 확인할 수 있다.

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Analysis of Applicability of RPC Correction Using Deep Learning-Based Edge Information Algorithm (딥러닝 기반 윤곽정보 추출자를 활용한 RPC 보정 기술 적용성 분석)

  • Jaewon Hur;Changhui Lee;Doochun Seo;Jaehong Oh;Changno Lee;Youkyung Han
    • Korean Journal of Remote Sensing
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    • v.40 no.4
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    • pp.387-396
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    • 2024
  • Most very high-resolution (VHR) satellite images provide rational polynomial coefficients (RPC) data to facilitate the transformation between ground coordinates and image coordinates. However, initial RPC often contains geometric errors, necessitating correction through matching with ground control points (GCPs). A GCP chip is a small image patch extracted from an orthorectified image together with height information of the center point, which can be directly used for geometric correction. Many studies have focused on area-based matching methods to accurately align GCP chips with VHR satellite images. In cases with seasonal differences or changed areas, edge-based algorithms are often used for matching due to the difficulty of relying solely on pixel values. However, traditional edge extraction algorithms,such as canny edge detectors, require appropriate threshold settings tailored to the spectral characteristics of satellite images. Therefore, this study utilizes deep learning-based edge information that is insensitive to the regional characteristics of satellite images for matching. Specifically,we use a pretrained pixel difference network (PiDiNet) to generate the edge maps for both satellite images and GCP chips. These edge maps are then used as input for normalized cross-correlation (NCC) and relative edge cross-correlation (RECC) to identify the peak points with the highest correlation between the two edge maps. To remove mismatched pairs and thus obtain the bias-compensated RPC, we iteratively apply the data snooping. Finally, we compare the results qualitatively and quantitatively with those obtained from traditional NCC and RECC methods. The PiDiNet network approach achieved high matching accuracy with root mean square error (RMSE) values ranging from 0.3 to 0.9 pixels. However, the PiDiNet-generated edges were thicker compared to those from the canny method, leading to slightly lower registration accuracy in some images. Nevertheless, PiDiNet consistently produced characteristic edge information, allowing for successful matching even in challenging regions. This study demonstrates that improving the robustness of edge-based registration methods can facilitate effective registration across diverse regions.