• 제목/요약/키워드: correlation feature analysis

검색결과 245건 처리시간 0.029초

DFT 기반의 시스템 모델링을 이용한 DC Motor의 위치제어 (The Position Control of DC Motor using the System Modeling based on the DFT)

  • 안현진;심관식;임영철;남해곤;김광헌;김의선
    • 전기학회논문지
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    • 제61권4호
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    • pp.542-548
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    • 2012
  • This study presents a new method of system modeling by using the Discrete Fourier Transform for the position control system of DC Motor. And the proposed method is similar to the method of System Identification by analysis of correlation of the measured input-output data. The measured output signals are transformed to the frequency domain using DFT. The Fourier Spectrum of the transformed signals is used for knowing to the feature of having an important effect on the system. And transfer function of the second order system is estimated by the dominant parameter which is computed in the magnitude and the phase of Fourier spectrum of the transformed signals. In addition, the output signal includes the unique feature of system. So, although the basic parameter of the system is unknown for us, the proposed method has an advantage to system modeling. And the controller is easily designed by the estimated transfer function. Thus, in this paper, the proposed method is applied to the system modeling for the position control system of DC Motor and the PD-controller is designed by the estimated model. And the efficiency and the reliability of the proposed method are verified by the experimental result.

미확인 작품 식별을 위한 Feature 선정 및 유사도 비교 시스템 구축 (Feature selection and similarity comparison system for identification of unknown paintings)

  • 박경엽;김주성;김현수;신동명
    • 한국소프트웨어감정평가학회 논문지
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    • 제17권1호
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    • pp.17-24
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    • 2021
  • 최근 블록체인을 기반으로 하는 미술품 NFT(Non Fungible Token) 시장은 기존 그림 작품 뿐만 아니라 작품을 홀로그램화 하여 거래될 정도로 활성화 되고 있다. 하지만 이렇게 방대한 미술품 시장에서 미확인 작품은 위조 수준이 정교하여서 전문가조차 진품인지 위작인지 판별하기 어렵다는 문제점이 존재한다. 이러한 문제점은 진품이 출품될 시에도 위작으로 의심받을 수 있어 작품 및 작가의 가치하락까지 이어질 수 있다. 이러한 문제를 해결하기 위하여 본 논문에서는 객관적인 분석을 통하여 추출된 데이터 중 색도 Chromaticity 데이터를 4사분면으로 분류하여 비교군과 교점을 추출하고 교점에 해당하는 포인트의 XRF와 초분광 스펙트럼 데이터를 이용하여 미확인 작품의 작가를 추정하는 시스템을 제안한다.

GIS를 활용한 범죄의 공간적 군집패턴 및 특성에 관한 연구 (A Study on the Spatial Feature and Pattern of Crime using GIS)

  • 전재한;권재현;양효진
    • 한국측량학회:학술대회논문집
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    • 한국측량학회 2006년도 춘계학술발표회 논문집
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    • pp.399-403
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    • 2006
  • To deal with the modem intellectual criminal acts, various efforts are tried. Especially, it is not difficult to watch the recent activities to analyze the criminal characteristics spatially using computing and GIS technology In this study, the spatial features and patterns of crime are investigated. The crime is reconstituted with respect to assault, larceny, robbery, and rape, then the variables are derived based on the theory of criminology. The kernal density analysis are performed to investigate the criminal distribution, and the correlation between the main criminal causes and the criminal outbreak is examined by buffering analysis. In addition, the land price and land usages are correlated with social-economic factors of criminal patterns.

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Analysis of Anticipated Operational Occurrences for 3-Pin Fuel Test Loop

  • Park, S.K.;Chi, D.Y.;Shim, B.S.;Park, K.N.;Ahn, S.H.;Lee, J.M.;Lee, C.Y.;Kim, Y.J.
    • 한국원자력학회:학술대회논문집
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    • 한국원자력학회 2004년도 추계학술발표회 발표논문집
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    • pp.537-538
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    • 2004
  • The performance of the ECWS was predicted for the anticipated operational occurrences. The inadvertent close of loop isolation valve is the most severe case for the five anticipated operational occurrences considered in this design and meets the design criteria of the ECWS. The correlation of critical heat flux for the geometry of three pins sub-channel analysis will be studied in the feature.

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Face recognition by PLS

  • Baek, Jang-Sun
    • 한국통계학회:학술대회논문집
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    • 한국통계학회 2003년도 추계 학술발표회 논문집
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    • pp.69-72
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    • 2003
  • The paper considers partial least squares (PLS) as a new dimension reduction technique for the feature vector to overcome the small sample size problem in face recognition. Principal component analysis (PCA), a conventional dimension reduction method, selects the components with maximum variability, irrespective of the class information. So PCA does not necessarily extract features that are important for the discrimination of classes. PLS, on the other hand, constructs the components so that the correlation between the class variable and themselves is maximized. Therefore PLS components are more predictive than PCA components in classification. The experimental results on Manchester and ORL databases show that PLS is to be preferred over PCA when classification is the goal and dimension reduction is needed.

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방전가공시 측면 플래싱 장치를 활용한 가공성 향상 (Improvements of Electro Discharge Machining Process using Side flushing Devices)

  • 신승환;박근;맹희영
    • 한국공작기계학회:학술대회논문집
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    • 한국공작기계학회 2003년도 추계학술대회
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    • pp.334-343
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    • 2003
  • The discharge gap clearly is to order and to promote the improvement of processing feature of die-sinking electro discharge machining(EDM). If creation carbon, which generated by Pyrolysis of EDM oil and processing pace power which is generated in between an electrode and a workpiece, are overproduced, they will lower the processing speed and roughness of the surface. Therefore, it is gone through an experiment and the flow analysis of EDM oil in order to improve the treatment of processing chips, which is an important problem by contriving a new flushing method. The condition of an electric discharge is not considered to be a progressing of processing. It is assumed that the flow of processing fluid is equal to the flow of processing chip, which is remaining in the discharge gap, and thus, analyzing then comparing with the data of the experiment and investigate its correlation.

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Difference between Korean and Occidental Group-specific Label-based Probabilistic Brain Atlas

  • 구방본;이종민
    • 전자공학회지
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    • 제36권11호
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    • pp.66-82
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    • 2009
  • Probabilistic atlases for the human brain structure are more suitable than single brain atlases for representing population anatomy. In this study, we hypothesized the group-specific probabilistic atlas for accurate characteristic feature coding. Our proposed method for a new group comparison study, using a subpopulation specific probabilistic atlas, was based on this hypothesis. A knowledge-based automatic labeling technique using nonlinear registration was applied to encode group-specific regional probabilistic information. Direct atlas-based comparison using volume counting above the probability threshold, distance measurement and correlation analysis were performed based on the probabilistic atlas. Here, we applied this method for comparison between Korean and occidental groups. The results showed that this method could provide simple but intuitive regions of interest-based group analysis for the entire cortex area.

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측면 플래싱 장치를 이용한 형조 방전특성의 향상 (Improvements of Electro Discharge Machining characteristics using Side Flushing Devices)

  • 맹희영;박근;김성동
    • 한국공작기계학회:학술대회논문집
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    • 한국공작기계학회 2005년도 춘계학술대회 논문집
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    • pp.272-277
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    • 2005
  • The discharge gap clearly is to order and to promote the improvement of processing feature of die-sinking electro discharge machining(EDM). If creation carbon, which generated by pyrolysis of EDM oil and processing pace power which is generated in between an electrode and a workpiece, are overproduced, they will lower the processing speed and roughness of the surface. Therefore, it is gone through the .flow analysis of EDM oil in order to improve the treatment of processing chips, which is an important problem by contriving a new flushing method. The condition of an electric discharge is not considered to be a progressing of processing. It is assumed that the flow of processing fluid is equal to the flow of processing chip, which is remaining in the discharge gap, and analyzing its correlation.

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독립성분 분석을 이용한 번호판 숫자 인식 (Recognition of Numeric Characters in License Plate based on Independent Component Analysis)

  • 정병준;강현철
    • 대한전자공학회논문지SP
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    • 제46권2호
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    • pp.99-107
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    • 2009
  • 본 논문에서는 자동차 번호판 숫자의 특징을 추출하기 위해 강화된 독립성분분석(independent component analysis)의 혼합모델을 제안한다 독립성분분석은 고차 통계적 특성만을 이용하기 때문에 고차 통계적 특성과 숫자 종류별 상관관계에 대한 특성을 고려하지 못한다. 이러한 독립성분분석의 한계를 극복하기 위해, 본 논문에서는 주성분분석(principle component analysis)과 선형판별분석(linear discriminant analysis)을 조합한 혼합 모델 형태의 독립성분분석을 제안한다. 실험 결과, 제안된 혼합 모델은 독립성분분석이나 다른 혼합 모델들보다 특징 추출과 인식에서 우수한 성능을 보임을 확인하였다.

유방 종양 세포 조직 영상의 분류 (Classification of Breast Tumor Cell Tissue Section Images)

  • 황해길;최현주;윤혜경;남상희;최흥국
    • 융합신호처리학회논문지
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    • 제2권4호
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    • pp.22-30
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    • 2001
  • 본 논문은 유방질환 중에서 유관(duct )에 발생하는 유방종양을 Benign, DCIS(ductal carcinoma in situ) NOS (invasive ductal carcinoma)로 분류하기 위해 3가지 분류기 (classifier) 를 생성한 후, 비교 분석하였다. 분류기 생성에서 가장 중요한 단계인 특징 추출 단계에서 세포핵의 기하학적 특징을 형태학적 특징을 추출하여 분류기를 생성하고 염색질 패턴의 내부적 변화를 나타내는 질감 특징을 추출하여 2가지 배율(100/400배)에서 2개의 분류기를 생성하였다. 400배 배율의 유방질환 영상에서 세포핵을 추출하여 핵의 형태학적 특징값인 핵의 면적, 둘레. 가로, 세로(장. 단축) 의 길이, 원형성의 비율을 구한 후 이 특징값들을 조합하여 판별분석에 의해 분류기를 생생하고, 분류 정확도를 검증하였다. 100배 배율과 400배의 배율의 유방질환 영상에서 1, 2, 3, 4 단계(level)의 wavelet 변환를 적용한 후, 분할된 서브밴드에서 GLCM(Gray Level Co-occurrence Matrix)을 이용하여 질감 특징(entropy Energy, Contrast, Homogeneity)를 추출하고, 이 특징값들을 조합하여 판변 분석에 의해 분류기를 생성한 후 분류 정확도를 검증하였다. 이 세 분류기를 비교 분석 하였을때 현민경 100배 배율의 영상을 3단계 wavelet 변환을 적용하고 질감 특징을 추출하여 생성한 분류기가 다른 두 분류기보다 유방 질환 Benign, DCIS; NOS를 분류하는데 더 나은 결과를 보였다.

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