• 제목/요약/키워드: Moving Band

검색결과 167건 처리시간 0.031초

개선된 이동 프레임 음향 홀로그래피 방법과 이동 음원의 방사 소음의 가시화에 대한 응용 (Review of the Improved Moving Frame Acoustic Holography and Its Application to the Visualization of Moving Noise Sources)

  • 박순홍;김양한
    • 소음진동
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    • 제10권4호
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    • pp.669-678
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    • 2000
  • This paper reviews the improved moving frame acoustic holography (MFAH) method and its application. Moving frame acoustic holography was originally proposed to increase the aperture size and the spatial resolution of hologram by using a moving line array of microphones. The hologram of scanned plane can be obtained by assuming the sound field to be product of spatial and temporal information. Although conventional MFAH was only applied to sinusoidal signals, it allows us to visualize the noise generated by moving noise sources by employing a vertical line array of microphones affixed to the ground. However, the sound field generated by moving sources becomes different from that of stationary ones due to the movement of the sources. Firstly, this paper introduces the effect of moving noise sources on the obtained hologram by MFAH and the applicability of MFAH to the visualization of moving sources. Secondly, this paper also reviews improved MFAH that can visualize a coherent narrow band noise and a pass-by noise. The practical applicability of the improved MFAH was demonstrated by visualizing tire noise during a pass-by test.

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프로그래밍 노이즈 필터링 방법에 의한 저항 방식 E-밴드 텍스타일 스트레인 센서 신호해석 (Resistive E-band Textile Strain Sensor Signal Processing and Analysis Using Programming Noise Filtering Methods)

  • 김승전;김상운;김주용
    • 감성과학
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    • 제25권1호
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    • pp.67-78
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    • 2022
  • ICT 산업의 글로벌 시장을 선점할 수 있는 다음 세대의 개발이 필요한 상황이 일어남에 따라 웨어러블 디바이스의 생체 신호 모니터링에 대한 관심이 크게 증가하고 있다. 이에 따라 본 연구에서는 히스테리시스가 적은 E-Band를 사용하여 단일벽 탄소나노튜브(SWCNT) 분산 용액에 함침 공정을 통해서 저항형 직물 인장 센서(Resistive textile strain sensor)를 개발하였다. 전기전도성이 부여된 e-band에 저항 신호를 측정하기 위해 만능재료시험기(UTM)과 Microcontroller unit인 아두이노와 LCR 미터를 이용해서 인장의 변화에 따른 저항 변화를 측정하였다. 원단으로 이루어진 텍스타일 스트레인 센서의 특성상 발생하는 다양한 노이즈들을 효과적으로 처리하기 위하여 신호처리 과정(Signal processing)의 노이즈 필터링의 이동평균 필터, 사비츠키-골레이 필터, 중앙값 필터들을 사용하여 센서의 필터 성능을 평가하였다. 그 결과 이동평균 필터의 필터링 결과의 신뢰도가 최소 89.82%, 최대 97.87%으로 이동평균 필터링이 텍스타일 스트레인 센서의 노이즈 필터링 방식으로 적합하였다.

지면에 고정된 선형 마이크로폰 어레이를 이용한 pass-by 소음의 가시화 (Visualization of pass-by noise by means of a line array of microphones affixed to the ground)

  • 박순홍;김양한
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2000년도 춘계학술대회논문집
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    • pp.1479-1486
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    • 2000
  • This paper introduces the improved moving frame acoustic holography (MFAH) method and its application. MFAH allows us to visualize the noise generated by moving noise sources by employing a vertical line array of microphones affixed to the ground. The sound field generated by moving sources is different from that of stationary ones due to the movement of the sources. Therefore the measured sound pressure by the microphone on the ground has to be processed so that it cooperates the effect of the movement. This paper discusses the effect of moving noise sources on the obtained hologram by MFAH. This assures the applicability of MFAH to the visualization of moving sources. This paper also reviews the improved MFAH that can visualize a coherent narrow band noise and a pass-by noise. The practical applicability of the improved MFAH was demonstrated by visualizing tire noise during a pass-by test.

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호모다인 검파방식을 이용한 X-밴드 도플러 레이더 센서의 설계 및 제작 (Design and implementation of a X-band Doppler radar sensor using the homodyne detection)

  • 장남영;최평석;은재정
    • 융합신호처리학회논문지
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    • 제2권2호
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    • pp.75-82
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    • 2001
  • 본 논문에서는 Gunn 다이오드와 SBD를 이용하여 X-밴드 내역의 송신기 및 수신기를 설계 ·제작하였다. 이 시스템은 이동 물체의 속도를 측정하는 도플러 레이더 센서로서, 이동 물체에 의해 반사된 도플러 천이 신호를 호모다인 검파방식을 통해 검출한다. 실험을 통해 송신기의 발진조건은 대략 도파관에 위치한 Gunn 다이오드의 지지대와 도과관의 단락판 사이의 거리가 반파장일 때 만족함을 알 수 있었으며, 제작된 도플러 레이더 센서를 이용한 이동 물체의 속도측정 오차는 1.24%로 측정 되었다.

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퍼지.신경회로망을 이용한 자율주행 로봇의 경로제어 (Path Control of a Mobile Robot Using Fuzzy-Neural Hybrid System)

  • 이병룡;이원규;이화조
    • 한국정밀공학회지
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    • 제12권8호
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    • pp.19-26
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    • 1995
  • In this paper, a fuzzy-neural hybrid control approach is proposed for controlling a mobile robot that can avoid an unexpected obstacle in a navigational space. First, to describe the global structure of a known environment, a heuristic collision-free space band is introduced. Based on the band, the moving information in the known environment is trained to a neural controller. Then, during the execution of a mobile robot navigation moving information at each position is given the neural controller. If the mobile robot encounters an unexpected obstacle, a fuzzy controller activates to avoid the unexpected obstacle. Finally, some numerical examples are presented to demonstrate the control algorithm.

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저압 터빈 마지막 단 동익 교체에 대한 고찰 (Study on the replacement of last moving blade at lower pressure turbine)

  • 구재량;이우광;고우식;김연환
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2003년도 춘계학술대회
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    • pp.834-838
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    • 2003
  • Vibration of turbine is concerned with array of last moving blade at lower pressure turbine. When last moving blade at lower pressure turbine was replaced, we must consider mass unbalance problems of blades. If mass unbalance happened at rotor, it is impossible to operate turbine. In this paper, we have how to minimize the mass unbalance problems of last moving blade at lower pressure turbine.

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Sample selection approach using moving window for acoustic analysis of pathological sustained vowels according to signal typing

  • 이지연
    • 말소리와 음성과학
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    • 제3권3호
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    • pp.99-108
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    • 2011
  • The perturbation parameters like jitter, shimmer, and signal-to-noise ratio (SNR) are largely estimated in the particular segment from the subjective or whole portion of the given pathological voice signal although there are many possible regions to be able to analyze the voice signals. In this paper, the pathological voice signals were classified as type 1, 2, 3, or 4 according to narrow band spectrogram and the value differences of the perturbation parameters extracted in the subjective and entire portion tended to be getting bigger as from type 1 to type 4 signals. Therefore, sample selection method based on moving window to analyze type 2 and 3 signals as well as type 1 signals is proposed. Although type 3 signals cannot be analyzed using the perturbation analysis, the type 3 signals by selecting out the samples in which error count is less than 10 through moving window were analyzed. At present, there is no method to be able to analyze the type 4 signals. Future research will endeavor to determine the best way to evaluate such voices.

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A note for hybrid Bollinger bands

  • Rhee, Jung-Soo
    • Journal of the Korean Data and Information Science Society
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    • 제21권4호
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    • pp.777-782
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    • 2010
  • We introduce some techniques to decompose the impulse (the unit sample) into several dilated pieces in the discrete time domain. From the decomposition of the impulse, we obtain localized moving averages. Thus we construct hybrid Bollinger bands that may give various strategies for stock traders. By simulations, we report that more than 94% of stock prices of companies in KOSPI 200 are inside this hybrid Bollinger band.

고속인식이 가능한 무선인식 시스템에 관한 연구 (A Study of RFID System Enable to High Speed Recognition)

  • 윤상문;백선기;김윤집;박면규;이기서
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 2002년도 춘계학술대회 논문집
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    • pp.522-529
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    • 2002
  • In this Paper, it has a proposal of the RFID(RFID : Radio Frequency Identification) system for high-speed recognition between the tag attached a mobile object moving high-speed and the static reader. It used 13.56MHz frequency at ISM band, and designed a reader in order to recognize a mobile object moving high-speed. It will be expected that RFID system enables a smooth railway signal control applying in railway system through the cyclic loop antenna.

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The DOA Estimation of Wide Band Moving Sources

  • Cho, Mun-Hyeong
    • Journal of information and communication convergence engineering
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    • 제5권1호
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    • pp.12-16
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    • 2007
  • In this paper, a new method is proposed for tracking the direction-of-arrival (DOA) of the wideband moving source incident on uniform linear array sensors. DOA is estimated by focusing transformation matrices. To update focusing matrices along with new data snap shots, we use the FAST (Fast Approximate Subspace Tracking) method. Present focusing matrices are constructed by previous signal and its orthogonal basis vectors as well as present signal and its orthogonal basis vectors, which are the left and right singular vectors of the inner product of two approximated matrices. Simulation results are shown to illustrate the performance of the proposed method.