• 제목/요약/키워드: Principle component analysis

검색결과 385건 처리시간 0.03초

포구속도측정레이더의 불확도에 관한 연구 (A Study on the Uncertainty of MVRS)

  • 박용석;최주호
    • 한국군사과학기술학회지
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    • 제10권1호
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    • pp.94-100
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    • 2007
  • MVRS's measuring principles are based on the Doppler principle. It measures the velocities near the muzzle using the doppler signal output from the antenna and then predicts the velocity of the bullet leaving the muzzle by performing the regression analysis on previous measured velocities. There are a number of error sources when calculating the muzzle velocity. Antenna has long term frequency stability error and the doppler signal from the antenna has noise. These two error sources influence the accuracy of estimated velocities from the doppler signal. Estimated velocity errors result in the random error of data statistics. And when performing a regression analysis these random error components are transferred to the fitting error component. This study also analyzed the error components according to the hardware limitations of MVRS-700 and the signal processing method, and presented the calculated uncertainty of muzzle velocity.

차량용 변속장치의 변속과도특성 해석 (Analysis on shifting transients of automotive transmission)

  • 박영일;이장무
    • 오토저널
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    • 제14권2호
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    • pp.44-53
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    • 1992
  • Automotive transmission is the principle component of vehicle driving system, which transmits the adjusted engine power. The automation of transmission arises from the annoyance of transmission operation such as the frequent stop/start of vehicle and the shifting transients. The study on the optimal shifting condition for the automation of transmission needs the investigation of shifting transients. However, the dynamic modeling theory during transient period is not well-established. In this study, the techniques of dynamic modeling for the power transmission system with Merrite-Wilson gear train are presented. To predict the shifting transients, a driving simulation program is developed, and the results of the analysis are cross-checked in the field test.

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PCA 기법을 이용한 폐탄광 지역의 지반침하 관련 요인 추출 (Extract the main factors related to ground subsidence near abandoned underground coal mine using PCA)

  • 최종국;김기동
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2007년도 춘계학술대회 논문집
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    • pp.301-304
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    • 2007
  • 본 연구에서는 폐탄광 지역에서 발생하는 지반침하에 영향을 주는 주요 요인들을 추출하기 위하여 다변량 통계분석 방법의 하나인 주성분분석(Principle Component Analysis : PCA)기법과 지리정보시스템 (Geographic Information System : GIS)을 이용하였다. 이를 위해 연구지역에서 수행한 지표지질조사, 정밀조사, 실내암석시험 등으로부터 취득된 자료를 데이터베이스로 구축하고, 지반침하 위험지역 분포를 공간적으로 해석할 수 있는 지질, 토지이용, 경사도, 지표로부터 지하 갱도까지의 심도, 갱도의 지표상 위치로부터의 수평거리, 지하수심도, 투수계수, RMR(Rock Mass Rating) 값을 분석대상으로 선정하였다. 각 요인들이 연구지역 전체에 걸쳐 분포하도록 GIS의 공간분석 기법의 하나인 표면분석(Surface Analysis), 버퍼링기법(Buffering) 및 내삽법(Interpolation)을 이용하여 래스터 데이터베이스로 구축하고 이로부터 추출된 자료들을 입력값으로 하는 주성분분석을 수행하였다. 주성분분석 결과 폐탄광 지역의 지반침하에 영향을 주는 주요인을 추출하는 것이 가능하였으며, 연구지역은 지질 및 지반강도 관련 요인이 침하발생의 가장 큰 요인인 것으로 분석되었다.

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주성분분석과 선형판별분석의 장점을 이용한 강인한 화자식별 (Robust Speaker Identification Exploiting the Advantages of PCA and LDA)

  • 김민석;유하진;김승주
    • 대한음성학회:학술대회논문집
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    • 대한음성학회 2007년도 한국음성과학회 공동학술대회 발표논문집
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    • pp.319-322
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    • 2007
  • The goal of our research is to build a textindependent speaker identification system that can be used in mobile devices without any additional adaptation process. In this paper, we show that exploiting the advantages of both PCA(Principle Component Analysis) and LDA(Linear Discriminant Analysis) can increase the performance in the situation. The proposed method reduced the relative recognition error by 13.5%

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연료전지 발전시스템을 위한 새로운 능동 클램프 전류원 하프 브리지 컨버터 (Novel Active Clamp Current-fed Half Bridge Converter for Fuel Cell Generation System)

  • 김진태;김성호;이태원;장수진;김수석;원충연
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2003년도 추계학술대회 논문집
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    • pp.99-103
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    • 2003
  • Recently, a fuel cell with low voltage and high current of electronic output characteristics is remarkable for new generation system. It needs both a dc-dc boost converter and do-ac inverter to be used in domestic power. Therefore, this paper presents do-dc boost converter with ZVS for fuel cell generation system This topology has several advantages, which are ZVS characteristics of all of main and auxiliary switches, reduction of reactor component size because of high frequency switching, and low rated voltage stress of the switches. In this paper, theoretical analysis, operation principle, and design procedures are presented. And simulation results from Pspice are presented to validate the theoretical analysis.

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주파수 응답해석을 이용한 파랑조건에 따른 어선 자동 조타시스템의 성능평가지수에 관한 연구 (A Study on the Performance Index of Automatic Steering System of Fishing Boat Using Frequency Response Analysis)

  • 이경우;손경호
    • 수산해양기술연구
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    • 제39권1호
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    • pp.1-7
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    • 2003
  • When a ship is course-keeping in the open seas, autopilot system is adapted. The design of autopilot system is very important for improvement of ship′s element research. Automatic steering system consists of autopilot device, power unit, steering gear, magnetic or gyro compass and ship dynamics. In order to evaluate automatic steering system of ships in open seas. we need to know the characteristics of each component of the system, and also to know the characteristics of disturbance to ship dynamics. In this paper, I provide evaluation method of autopilot navigation system of the fishing ship. Prediction method based on the principle of linear superposition is introduced for irregular disturbance. For the evaluation of automatic steering system of a ship, "performance index" is introduced from the viewpoint of energy saving and calculation method is frequency response analysis. Finally, I carried out calculation of sensitivity of control constants of autopilot with various conditions of ocean environments.

전압형 PWM 컨버터의 무효성분 해석 (Analysis of Reactive Elements on The Voltage Source PWM Converter)

  • 김제홍;정환명;최재호
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1994년도 하계학술대회 논문집 A
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    • pp.243-245
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    • 1994
  • A PWM forced-commutated converter with DC voltage source is studied in this paper. This PWM-VSC using spacs vector modulation permits to control bi-directional power exchange between the AC mains and the DC source. The principle of the active and reactive power control is presented. In transient operation, the analysis of reactive component current is performed. Finally, the simulation results are also presented and discussed.

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전력품질 분석을 위한 특징 추출 (Feature extraction for Power Quality analysis)

  • 이진목;홍덕표;최재호
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2005년도 제36회 하계학술대회 논문집 전기설비
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    • pp.94-96
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    • 2005
  • Power Quality(PQ) problems are various owing to a wide variety of causes so detection and classification of many kinds of PQ problems are awkward. Almost all studies about it were about getting good results by Neural Networks(NN) which get input features from as random variables, FFT and wavelet transform. However they are discontented with results because it is very difficult to classify all PQ items. A study about feature extraction becomes needed. Thus, this paper suggests effective way of using principle Component Analysis (PCA) for PQ Problem classification. PCA found more effective features among all features so it will help us to get more good result of classification.

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PCA-LDA 알고리즘을 이용한 고체절연물의 열화도 판별 (Evaluation on Degradation of Solid Insulator by PCA-LDA algorithm)

  • 박성희;강성화;임기조
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2005년도 제36회 하계학술대회 논문집 C
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    • pp.2079-2081
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    • 2005
  • Electrical treeing occurrence is caused by some defect in solid insulator. Those are accompany the PD(partial discharge) occurrence. And lifetime of the insulator is affected by PD. So, detection of electrical treeing is important thing as this view. Especially, detection of the end treeing is more important and have meaning for industrial engineering because concerned with maintenance and replacement of equipment. In this paper, evaluation of treeing process were studied and PCA(principle component analysis)-LDA(linear discriminant analysis) as classification method were used. The result is present the good recognition.

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부분방전원 분류기법의 패턴분류율 비교 (Comparison of Classification rate of PD Sources)

  • 박성희;임기조;강성화
    • 한국전기전자재료학회:학술대회논문집
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    • 한국전기전자재료학회 2005년도 하계학술대회 논문집 Vol.6
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    • pp.566-567
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    • 2005
  • Until now variable pattern classification methods have been introduced. So, variable methods in PD source classification were applied. NN(neural network) the most used scheme as a PD(partial discharge) source classification. But in recent year another method were developed. These methods is present superior to NN in the field of image and signal process function of classification. In this paper, it is show classification result in PD source using three methods; that is, BP(back-propagation), ANFIS(adaptive neuro-fuzzy inference system), PCA-LDA(principle component analysis-linear discriminant analysis).

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