• 제목/요약/키워드: Distance measure

검색결과 1,796건 처리시간 0.024초

FCM과 유클리디언 기반 거리유사도에 의한 전력용 변압기의 고장진단 (Fault Diagnosis of Power Transformer by FCM and Euclidean Based Distance Measure)

  • 이대종;이종필;지평식;임재윤
    • 전기학회논문지
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    • 제56권6호
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    • pp.1007-1016
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    • 2007
  • In power system, substation facilities have become too complex and larger according to an extended power system. Also, customers require the high quality of electrical power system. However, some facilities become old and often break down unexpectedly. The unexpected failure may cause a break in power system and loss of profits. Therefore it is important to prevent abrupt faults by monitoring the condition of power systems. Among the various power facilities, power transformers play an important role in the transmission and distribution systems. In this research, we develop intelligent diagnosis technique for predicting faults of power transformer by FCM(Fuzzy c-means) and Euclidean based distance measure. The proposed technique make it possible to measures the possibility and degree of aging as well as the faults occurred in transformer. To demonstrate the validity of proposed method, various experiments are performed and their results are presented.

다각형 세그먼트를 이용한 겹쳐진 물체의 인식 및 위치 추정 (Recognition and positioning of occuluded objects using polygon segments)

  • 정종면;문영식
    • 전자공학회논문지B
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    • 제33B권5호
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    • pp.73-82
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    • 1996
  • In this paper, an efficient algorithm for recognizing and positioning occuluded objects in a two-dimensional plane is presented. Model objects and unknown input image are approximated by polygonal boundaries, which are compactly represented by shape functions of the polygons. The input image is partitioned into measningful segments whose end points are at the locations of possible occlusion - i.e. at concave vertices. Each segment is matched against known model objects by calculating a matching measure, which is defined as the minimum euclidean distance between the shape functions. An O(mm(n+m) algorithm for computing the measure is presentd, where n and m are the number of veritces for a model and an unknown object, respectively. Match results from aprtial segments are combined based on mutual compatibility, then are verified using distance transformation and translation vector to produce the final recognition. The proposed algorithm is invariant under translation and rotation of objects, which has been shown by experimental results.

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Empirical Comparisons of Disparity Measures for Three Dimensional Log-Linear Models

  • Park, Y.S.;Hong, C.S.;Jeong, D.B.
    • Journal of the Korean Data and Information Science Society
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    • 제17권2호
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    • pp.543-557
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    • 2006
  • This paper is concerned with the applicability of the chi-square approximation to the six disparity statistics: the Pearson chi-square, the generalized likelihood ratio, the power divergence, the blended weight chi-square, the blended weight Hellinger distance, and the negative exponential disparity statistic. Three dimensional contingency tables of small and moderate sample sizes are generated to be fitted to all possible hierarchical log-linear models: the completely independent model, the conditionally independent model, the partial association models, and the model with one variable independent of the other two. For models with direct solutions of expected cell counts, point estimates and confidence intervals of the 90 and 95 percentage points of six statistics are explored. For model without direct solutions, the empirical significant levels and the empirical powers of six statistics to test the significance of the three factor interaction are computed and compared.

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고전압 방전 검출용 자외선 코로나 카메라 개발 및 방전 이미지 분석 (Analysis of Image and Development of UV Corona Camera for High-Voltage Discharge Detection)

  • 김영석;송길목;방선배;김종민;최명일
    • 조명전기설비학회논문지
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    • 제25권9호
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    • pp.69-74
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    • 2011
  • In this paper, the UV corona camera was developed using the solar blind and Multi Channel Plate(MCP) technology for the target localization of UV image. UV camera developed a $6.4[^{\circ}]{\times}4.8[^{\circ}]$ of the field of view as a conventional camera to diagnose a wide range of slightly enlarged, and power equipment to measure the distance between the camera and the distance meter has been attached. UV camera to measure the discharge count and the UV image was developed, compared with a commercial camera, there was no significant difference. In salt spray environments breakdown voltage was lower than the normal state, thereby discharging the image was rapidly growing phenomenon.

공간 네트워크에서 이동객체 궤적을 위한 공간 유사도 측정방법의 설계 (Design of Spatial Similarity Measure for Moving Object Trajectories in Spatial Network)

  • 라빈드라 데스타;장재우
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 2006년도 가을 학술발표논문집 Vol.33 No.2 (C)
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    • pp.83-87
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    • 2006
  • Similarity search in moving object trajectories is an active area of research. In this paper, we introduce a new concept of measure that computes spatial distance (similarity) between two trajectories of moving objects on road networks. In addition, we propose an algorithm that generates a sequence of matching edge pairs for two trajectories that ate to be compared and computes spatial distance between them which is non Euclidian in nature. With an example, we explain how our algorithm works to show spatial similarity between trajectories of moving objects in spatial network.

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A Clustering Algorithm Considering Structural Relationships of Web Contents

  • Kang Hyuncheol;Han Sang-Tae;Sun Young-Su
    • Communications for Statistical Applications and Methods
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    • 제12권1호
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    • pp.191-197
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    • 2005
  • Application of data mining techniques to the world wide web, referred to as web mining, has been the focus of several recent researches. With the explosive growth of information sources available on the world wide web, it has become increasingly necessary to track and analyze their usage patterns. In this study, we introduce a process of pre-processing and cluster analysis on web log data and suggest a distance measure considering the structural relationships between web contents. Also, we illustrate some real examples of cluster analysis for web log data and look into practical application of web usage mining for eCRM.

Support Vector Machines 기반의 클러스터 결합 기법 (Support Vector Machine based Cluster Merging)

  • 최병인;이정훈
    • 한국지능시스템학회논문지
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    • 제14권3호
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    • pp.369-374
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    • 2004
  • Convex한 클러스터간의 최적의 거리와 Fuzzy Convex Clustering(FCC) 방법에 의한 효과적인 클러스터 결합 알고리즘을 제시하였다. 또한 두 convex한 클러스터간의 거리 측정 방법의 문제점인 정확성과 수행속도 개선하기 위하여 Support Vector Machines(SVM) 을 이용한 빠르고 정확한 거리 측정 방법을 제시하였다. 따라서 데이터의 부적절한 표현 없이 클러스터들의 개수를 크게 더 줄일 수 있었다. 본 논문에서는 제시한 알고리즘의 타당성을 위하여 여러 데이터에 대한 실험결과를 보여주므로서 제시한 알고리즘을 실제 영상 분할에 적용하여 다른 클러스터링 방법의 결과와 비교분석한다.

유성/무성/묵음 분류기와 주파수 스펙트럼을 이용한 음소 경계 검출 (Phoneme Segmentation Using Voice/Unvoiced/Silence Classifier and Spectral Information)

  • 이상래;한현배;한민수
    • 한국음향학회:학술대회논문집
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    • 한국음향학회 1999년도 학술발표대회 논문집 제18권 1호
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    • pp.86-91
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    • 1999
  • 본 논문에서는 유성/무성/묵음 분류기와 주파수 스펙트럼 비교를 통하여 음소 경계 검출기를 구현하였다. 음소경계 검출은 음성 인식, 합성 및 분석 둥의 분야에서 매우 중요하다 유성/무성/묵음 분류기를 이용하여 유성음으로 판별되는 구간은 스펙트럼 비교를 통하여 음소 단위로 세분하였고 무성음으로 판별되는 구간은 한국어의 음성 특성을 고려하여 하나의 음소 단위로 간주하였다. 유성음 구간에 대한 스펙트럼 비교는 수정된 Itakura-Saito distance measure 와 Euclidean MFCC(Mel Frequency Cepstrum Coeffcients) distance measure를 사용하였고 비교 프레임은한 프레임을 건너 윈 경우가 가장 결과가 좋았다. 최종적으로 평균 음소 길이 정보를 이용하여 음소의 경계로 검출된 구간을 더 세분하거나 통합하였다. 유성/무성/묵음 분류기의 경우는 사무실에서 녹음한 고립단어에 대하여 $94.247\%$의 정확도를 보였고 음소 경계 검출의 경우는 $72.8\%$의 정확도를 보였다.

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정전용량센서를 이용한 레이저 간섭계 오차보정 (Error Correction of Laser Interferometer Using Capacitive Sensor)

  • 김재천;서석현;전재욱;박기헌;유관호
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2006년도 심포지엄 논문집 정보 및 제어부문
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    • pp.342-344
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    • 2006
  • During last years, large investments have been directed to development and research of nano-technological products like semiconductor, display panel, optic-fiber communication components, life technology, and ultra-precision components. All quantitative measurements at nanometre scale should guarantees accurate results and high quality. Laser interferometer is one of most famous nanometre scale devices to be able to measure metre-scale distance with nanometre scale resolution, but it is easily affected by various error causes like geometrical, instrumental and environmental factor. On the other side, capacitive sensor is robust to above error factors, but it is able to measure relatively shorter distance, under $100{\mu}m$, than laser interferometer. New error correction method for laser interferometry using capacitive sensor will be introduced in this paper.

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3차원 레이저 스캐너용 ND 필터의 시뮬레이션 (Simulation of ND Filter for Terrestrial Laser Scanner)

  • 양수효;오동근;정중연
    • 한국측량학회:학술대회논문집
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    • 한국측량학회 2009년도 춘계학술발표회 논문집
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    • pp.65-73
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    • 2009
  • The terrestrial laser scanner measures the signal delay time of electronic circuit in EDM(Electronic Distance Measurement) Module for distance measurement. To measure signal delay time precisely, transmitting laser beam of terrestrial laser scanner is divided optically. Therefore, 10% of the laser beam power is entered into the electronic circuit and the others go out through lens. But, measure of delay time is severe in the laser scanner system that the laser beam power is changed dynamically by reflectance of a object, because characters like gain of electronic circuit involving APD(Avalanche Photo Diode) and so on are changed by incident laser beam. Therefore, we adapt ND(Neutral Density) filter that has grid pattern to the laser scanner system to keep constant the incident laser beam power. In this paper, we propose the simulation program for efficient design of ND filter pattern. Finally, to affirm simulation program, we conduct the experimental test of simulated ND filter that has linearly transmittance change, and we consider the experiment result.

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