• 제목/요약/키워드: noise characteristic

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전기식 플러그 도어 하부시스템 기능 분석 (Functional Analysis of Subsystem for Electric Plug Door)

  • 정의진;홍재성;원종운;이장무;이한민;김길동
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2011년도 제42회 하계학술대회
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    • pp.2198-2199
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    • 2011
  • The sliding door and plug door are the main types of door system in the EMU(Electric Multiple Unit). The sliding door is widely used in Korea but has weak point in the noise problem. In the low operation speed, the noise coming from outer side of the EMU is not an important factor. As the speed is higher than before, noise is increased and make an issue. The main cause of noise is the imperfect air tightness in the EMU. The plug door system has advantages for the noise reduction characteristic in the high speed area. Actually the noise level is an important factor for the passenger comfort. In this paper, we will describe the characteristic of electric plug door and functions of sub component.

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셀룰러 오토마타의 천이 파라미터를 이용한 영상의 잡음제거 방법 (Noise Reduction Method for Image Using Transition-Parameter of Cellular Automata)

  • 김태석;이석기;권순각;권오준
    • 한국멀티미디어학회논문지
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    • 제13권9호
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    • pp.1329-1336
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    • 2010
  • Cellular Automata는 자연계의 현상이 국부적인 관계에 의해 완전히 표현될 수 있는 이산적인 동적 시스템이며, 대상 영상에 대한 특정을 그대로 보존하면서 천이규칙에 따라 국부적으로 밝기값의 차이를 증가 및 감소시킬 수 있다. 본 논문에서는 Cellular Automata의 천이규칙을 이용한 잡음제거 방법을 제안하고, 잡음 특징에 따라 효율적인 천이규칙, 파라미터 선정, 이웃화소수의 선택 방법을 제시한다. 균일분포 잡음, 가우시안 잡음, 임펄스 잡음에서 연산을 달리하여 적응적인 상태를 실험하여 비교한다. 제안한 천이규칙은 랜덤잡음을 가진 대상 영상에 대해 빠른 수렴속도를 가지고 안정적인 결과가 나타남을 확인할 수 있다.

Stochastic analysis of external and parametric dynamical systems under sub-Gaussian Levy white-noise

  • Di Paola, Mario;Pirrotta, Antonina;Zingales, Massimiliano
    • Structural Engineering and Mechanics
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    • 제28권4호
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    • pp.373-386
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    • 2008
  • In this study stochastic analysis of non-linear dynamical systems under ${\alpha}$-stable, multiplicative white noise has been conducted. The analysis has dealt with a special class of ${\alpha}$-stable stochastic processes namely sub-Gaussian white noises. In this setting the governing equation either of the probability density function or of the characteristic function of the dynamical response may be obtained considering the dynamical system forced by a Gaussian white noise with an uncertain factor with ${\alpha}/2$- stable distribution. This consideration yields the probability density function or the characteristic function of the response by means of a simple integral involving the probability density function of the system under Gaussian white noise and the probability density function of the ${\alpha}/2$-stable random parameter. Some numerical applications have been reported assessing the reliability of the proposed formulation. Moreover a proper way to perform digital simulation of the sub-Gaussian ${\alpha}$-stable random process preventing dynamical systems from numerical overflows has been reported and discussed in detail.

부등피치를 적용한 재생 블로워의 소음특성 연구 (Analysis of Noise Characteristic of Uneven Pitch Regenerative Blower)

  • 이경용;정욱희;김진혁;김철호;최영석;마재현;정경호;박운진
    • 한국유체기계학회 논문집
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    • 제18권6호
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    • pp.71-75
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    • 2015
  • The flow and noise characteristics of the regenerative blower are evaluated experimentally. To decrease the noise of regenerative blower at a high frequency, we arrange the impeller vanes unevenly by special formula. The uneven pitch formular consists of the combination of trigonometric function. The magnitude of degree between each vanes and the control parameters of trigonometric functions are main design parameters for the uneven pitch. The flow characteristics of even and uneven impellers are tested by the fan tester and compared each results. The efficiency of a blower is calculated by the axial power using a dynamo system. The noise property of designed impeller is measured in an anechoic room. In this study, we certify that the uneven pitch impeller is effective in the noise reduction at a high frequency.

Noise PDF Analysis of Nonlinear Image Sensor Model;GOCI Case

  • Myung, Hwan-Chun;Youn, Heong-Sik
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
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    • pp.191-194
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    • 2007
  • The paper clarifies all the noise sources of a CMOS image sensor, with which the GOCI (Geostationary Ocean Color Imager) is equipped, and analyzes their contribution to a nonlinear image sensor model. In particular, the noise PDF (Probability Density Function) is derived in terms of sensor-gain coefficients: a linear and a nonlinear gains. As a result, the relation between the noise characteristic and the sensor gains is studied.

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