• 제목/요약/키워드: Structured measurement matrix

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구조화된 측정 행렬에 따른 블록 기반 압축 센싱 기법의 성능 비교 (Performance Comparison of Structured Measurement Matrix for Block-based Compressive Sensing Schemes)

  • 류중선;김진수
    • 한국정보통신학회논문지
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    • 제20권8호
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    • pp.1452-1459
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    • 2016
  • 압축 센싱은 샤논/나이퀴스트 표본화 정리를 만족하는 나이퀴스트 율 보다 더 적은 수의 표본화 주파수로 신호를 획득하더라도 그 신호가 성긴 신호라는 조건 하에 샘플링을 가능하게 하는 신호 처리 기술이다. 일반적으로 측정 예측방식은 작은 블록 크기에서 성능이 좋은 반면에 복원 이미지 품질은 큰 블록으로 복원하는 것이 좋다. 이러한 두 개의 상충하는 속성을 해결하기 위해 압축 센싱은 작은 블록에서 행해지고, 복원은 큰 블록에서 수행하게 되는 구조화된 측정 행렬을 사용하며, 이러한 방법으로 예측과 복원 모두 동시에 개선을 추구한다. 본 논문에서는 구조화된 측정 행렬을 확장함으로써 블록 크기에 따른 다양한 방식이 비교되어진다. 다양한 실험 결과를 통해 $4{\times}4$ 하다마드 행렬을 이용한 구조화된 측정 행렬이 블록 크기가 4의 크기에서 가장 좋은 성능을 보여주었다.

구조화된 불확실성을 갖는 입력지연 시스템의 강인제어 (Robust Control of Input Delayed Systems with Structured Uncertainty)

  • 이보형
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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    • pp.270-270
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    • 2000
  • Input delay is frequently encountered in the practical systems since measurement delay and computational delay can be represented by input delay. In this viewpoint, this paper deals with the robust control problem of input delayed systems with structured uncertainty. Robust stability conditions are provided in terms of linear matrix inequalities(LMIs) and it is shown that the proposed conditions can give less conservative maximum bound of input delay guaranteeing robust stability.

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레이저 구조광을 이용한 3차원 컴퓨터 시각 형상정보 연속 측정 시스템 개발 (Development of the Computer Vision based Continuous 3-D Feature Extraction System via Laser Structured Lighting)

  • 임동혁;황헌
    • Journal of Biosystems Engineering
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    • 제24권2호
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    • pp.159-166
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    • 1999
  • A system to extract continuously the real 3-D geometric fearture information from 2-D image of an object, which is fed randomly via conveyor has been developed. Two sets of structured laser lightings were utilized. And the laser structured light projection image was acquired using the camera from the signal of the photo-sensor mounted on the conveyor. Camera coordinate calibration matrix was obtained, which transforms 2-D image coordinate information into 3-D world space coordinate using known 6 points. The maximum error after calibration showed 1.5 mm within the height range of 103mm. The correlation equation between the shift amount of the laser light and the height was generated. Height information estimated after correlation showed the maximum error of 0.4mm within the height range of 103mm. An interactive 3-D geometric feature extracting software was developed using Microsoft Visual C++ 4.0 under Windows system environment. Extracted 3-D geometric feature information was reconstructed into 3-D surface using MATLAB.

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복원 블록 크기 변화에 따른 BCS-SPL기법의 이미지 복원 성능 비교 (Performance Comparison of BCS-SPL Techniques Against a Variety of Restoring Block Sizes)

  • 류중선;김진수
    • 한국산업정보학회논문지
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    • 제21권3호
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    • pp.21-28
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    • 2016
  • 압축 센싱은 샤논/나이퀴스트 표본화 정리를 만족하는 나이퀴스트 율보다 더 적은 수의 표본화 주파수로 신호를 획득하더라도 그 신호가 성긴 신호라는 조건 하에 샘플링을 가능하게 하는 신호 처리 기술이다. 특히, BCS-SPL 구조는 가장 널리 사용되고 있는 방법 중에 한 가지이고, 현재에는 다양한 BCS-SPL 방식들이 연구되고 있다. 그러나 복원할 때, 블록크기는 복원 영상의 품질에 큰 영향을 미치고, 본 논문에서는 기본 구조와 더불어 구조화된 형태에 대해 다양한 블록 크기에 따라 성능을 비교한다. 다양한 실험 결과를 통하여 기본적인 구조의 BCS-SPL 알고리즘이 블록 크기 4일 때 가장 우수한 성능을 보여줌을 확인한다.

QFD를 이용한 전문대학의 고객만족평가 (Customer Satisfaction Measurement Using QFD in the College)

  • 우태희
    • 대한안전경영과학회지
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    • 제8권3호
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    • pp.171-187
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    • 2006
  • Modern management considers customer satisfaction as a baseline standard of performance and a possible standard of excellence for any business organization including the college. Quality function deployment(QFD) is a structured approach to seek out voice of customers, understanding their needs, and ensure that their needs are met. The strategy value proposed by Chien et al. combines importance, satisfaction, performance, and ability to enhance decision making effectiveness. But in their model, the correlation among the strategic alternatives isn't considered the decision chain and is therefore eliminated. This paper proposes how to calculate the new weight of columns to consider various strength levels of correlations matrix, representing the correlation among the strategic alternatives, using normalization procedure. The aim of this paper is to present and original customer satisfaction survey conducted in the college. Thus, this paper presents an original customer satisfaction survey in the college and provides to demonstrate the practical usage of the design model to compare this model with Chien's model.

Synthesis of NiO and TiO2 Combined SiC Matrix Nanocomposite and Its Photocatalytic MB Degradation

  • Zambaga, Otgonbayar;Jun Hyeok, Choi;Jo Eun, Kim;Byung Jin, Park;Won-Chun, Oh
    • 한국재료학회지
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    • 제32권11호
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    • pp.458-465
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    • 2022
  • Interest in the use of semiconductor-based photocatalyst materials for the degradation of organic pollutants in a liquid phase has grown, due to their excellent performance and response to the light source. Herein, we fabricated a NiO-SiC-TiO2 ternary structured photocatalyst which had reduced bandgap energy, with strong activation under UV-light irradiation. The synthesized samples were examined using XRD, SEM, EDX, TEM, DRS, EIS techniques and photocurrent measurement. The results confirmed that the two types of metal oxides were well bonded to the SiC fiber surface. The junction of the new photocatalyst exhibited a large number of photoexcited electrons and holes. The holes tended to oxidize the water and form a hydroxyl radical, which promoted the decomposition of methylene blue. The close contact between the 2D SiC fiber and metal oxide semiconductors expanded the scope of absorption wavelength, and enhanced the usability of the ternary photocatalyst for the degradation of methylene blue. Among three synthesized samples, the NiO-SiC-TiO2 showed the best photocatalytic effect, and was considered to have excellent photoelectron transfer due to the synergy effect between the metal oxide and SiC.

Adaptable Center Detection of a Laser Line with a Normalization Approach using Hessian-matrix Eigenvalues

  • Xu, Guan;Sun, Lina;Li, Xiaotao;Su, Jian;Hao, Zhaobing;Lu, Xue
    • Journal of the Optical Society of Korea
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    • 제18권4호
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    • pp.317-329
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    • 2014
  • In vision measurement systems based on structured light, the key point of detection precision is to determine accurately the central position of the projected laser line in the image. The purpose of this research is to extract laser line centers based on a decision function generated to distinguish the real centers from candidate points with a high recognition rate. First, preprocessing of an image adopting a difference image method is conducted to realize image segmentation of the laser line. Second, the feature points in an integral pixel level are selected as the initiating light line centers by the eigenvalues of the Hessian matrix. Third, according to the light intensity distribution of a laser line obeying a Gaussian distribution in transverse section and a constant distribution in longitudinal section, a normalized model of Hessian matrix eigenvalues for the candidate centers of the laser line is presented to balance reasonably the two eigenvalues that indicate the variation tendencies of the second-order partial derivatives of the Gaussian function and constant function, respectively. The proposed model integrates a Gaussian recognition function and a sinusoidal recognition function. The Gaussian recognition function estimates the characteristic that one eigenvalue approaches zero, and enhances the sensitivity of the decision function to that characteristic, which corresponds to the longitudinal direction of the laser line. The sinusoidal recognition function evaluates the feature that the other eigenvalue is negative with a large absolute value, making the decision function more sensitive to that feature, which is related to the transverse direction of the laser line. In the proposed model the decision function is weighted for higher values to the real centers synthetically, considering the properties in the longitudinal and transverse directions of the laser line. Moreover, this method provides a decision value from 0 to 1 for arbitrary candidate centers, which yields a normalized measure for different laser lines in different images. The normalized results of pixels close to 1 are determined to be the real centers by progressive scanning of the image columns. Finally, the zero point of a second-order Taylor expansion in the eigenvector's direction is employed to refine further the extraction results of the central points at the subpixel level. The experimental results show that the method based on this normalization model accurately extracts the coordinates of laser line centers and obtains a higher recognition rate in two group experiments.