• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2010년도 추계학술대회 논문집
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• pp.533-534
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• 2010

Fiber optic sensor has bee widely used in the industrial applications. For the application of acoustic detection of the high voltage electric transformer Sagnac interferometer can be used. In this paper several different materials of mandrel were used in the fiber sensor array. Based on the transformer oil fiber optic sensor is more sensitive than in the air.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2009년도 춘계학술대회 논문집
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• pp.274-279
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• 2009

Reduction Gear Box where from productive site uses the gear with power delivery with high mechanical efficiency of power a deceleration and as the mechanical element union product which has the velocity ratio which is various together is produced with the power occurrence motor and leads gets a high driving force is plentifully used. The above occurs from gear drive issue sound Whine, Noise and Vibration as occurring from the rim process which the gear will bite mainly is delivered with the case etc. gear drive whole which leads the axis and the bearing. The productivity falls with the going straight rate decrease which with like this problem point is caused by with rework the problem point where the cost of production rises under improving boil many kinds analyzed the plan and investigates the resultant acceleration sensor which and a frequency analysis system and was made to apply.

• 제어로봇시스템학회논문지
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• 제16권10호
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• pp.969-974
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• 2010

In this paper, we propose a fault-tolerant controller for compensating measurement noise of feedback sensor. Because control systems operate via feedback sensor's signal, the measurement noise in sensor's signal results in performance degradation or even system failure. Therefore, control systems often demand on compensating measurement noise. Our controller is equipped with a compensator in order to reject or reduce the effect of measurement noise in feedback information. Our proposed method is verified via simulation and experiment for a Ball and Beam system.

• 센서학회지
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• 제28권5호
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• pp.334-339
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• 2019

In this study, we propose a compensation method of raw LiDAR data with noise and noise filtering for signal processing of LiDAR sensors during the development phase. The raw LiDAR data include constant errors generated by delays in transmitting and receiving signals, which can be resolved by LiDAR signal compensation. The signal compensation consists of two stage. First one is LiDAR sensor calibration for a compensation of geometric distortion. Second is walk error compensation. LiDAR data also include fluctuation and outlier noise, the latter of which is removed by data filtering. In this study, we compensate for the fluctuation by using the Kalman filter method, and we remove the outlier noise by applying a Gaussian weight function.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2008년도 International Symposium on Remote Sensing
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• pp.247-250
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• 2008

The paper presents the advanced radiometric calibration method, called the lRCM (Iterative Radiometric Calibration Method), in order to avoid an operational constraint (solar source) for calibration. The IRCM assumes that an optical instrument is equipped with a filter assembly which consists of same band filters with different transmission ratios. Given all the noise sources (including the artificial one caused by the filters) of an image sensor, the noncentral ${\chi}^2$ distribution of the output result is induced by the approach of a noise PDF (Power Density Function). Finally, the radiometric calibration problem is transformed into equating two independent relations for the image sensor gains through the specified distribution.

• 제어로봇시스템학회논문지
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• 제21권8호
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• pp.748-752
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• 2015

We present an output feedback controller for a class of nonlinear systems with uncertain nonlinearity and sensor noise. The sensor noise has both a finite constant component and a time-varying component such that its integral function is finite. The new design and analysis method is based on the matrix inequality approach. With our proposed controller, the states and output can be ultimately bounded even though the structure of nonlinearity is more general than that in the existing results.

• 한국음향학회지
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• 제38권2호
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• pp.193-199
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• 2019

본 논문에서는 선체부착형 음향센서의 플랫폼 진동유기 소음 차단 특성을 확인하기 위한 수중 진동 실험을 수행하고 결과를 분석하였다. 음향수조 환경에서 음향센서가 설치된 선체모사구조물과 가진기를 이용하여 플랫폼 진동유기 소음 조건을 구현하였고, 선체모사구조물 및 음향센서에 설치된 표준 가속도계와 음향센서의 출력신호 측정을 통해 음향센서의 진동차단율, 삽입손실 및 진동민감도와 같은 성능지수를 산출하였다. 산출된 성능지수 결과를 토대로 음향센서의 주파수별 소음 차단 특성을 분석하고 실험 기법의 유효성을 검토하였다.

• 디지털융복합연구
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• 제10권10호
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• pp.313-318
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• 2012

본 논문에서는 X-band 대역용 인체감지센서에 적용될 저 잡음 송수신기 설계 방법을 제안 하였다. 제안된 송수신기에는 기존 송수신기의 출력 신호가 수신 단으로 유입되는 것을 줄이기 위한 회로가 추가되었다. 잡음 제거회로는 분배기와 $90^{\circ}$위상 천이기를 포함하는 Hittite HMC908LC5(I/Q down converter)가 사용되었다. 송수신기 회로와 안테나는 CST MWS를 사용하여 시뮬레이션 하였고 FR-4 기판(h=1.0mm, ${\varepsilon}_r$=4.4)을 사용하여 제작하였다. 설계된 안테나의 특성이 인체감지용 센서에 사용되기에 적합하며 제안된 송수신기와 기존에 사용되고 있는 송수신기의 출력 특성을 비교 한 결과 동등한 특성을 얻었다.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2007년도 추계학술대회논문집
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• pp.1325-1328
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• 2007

When we visualize the sound field radiated from a spherical sound source, spherical acoustic holography is proper among acoustic holography methods. However, there are measurement errors due to sensor position mismatch, sensor mismatch, directivity of sensor, and background noise. These errors are amplified if one predicts the pressures close to the sources: backward prediction. The goal of this paper is to quantitatively examine the effects of the error due to sensor position mismatch on acoustic pressure estimation. This paper deals with the cases of which the measurement deviations are distributed irregularly on the hologram plane. In such cases, one can assume that the measurement is a sample of many measurement events, and the cause of the measurement error is white noise on the hologram plane. Then the bias and random error are derived mathematically. In the results, it is found that the random error is important in the backward prediction. The relationship between the random error amplification ratio and the measurement parameters is derived quantitatively in terms of their energies.

• 한국정보통신학회논문지
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• 제9권7호
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• pp.1479-1484
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• 2005

본 논문은 이동로봇을 위한 위치 및 물체인식용 지능형 센서 제어 시스템에 대해 기술한다. 개발된 센서시스템은 저가의 광 PSD(Position sensitive detector)를 사용하였다. PSD센서는 저가이고, 가볍다는 장점이 있지만 많은 noise를 갖고 있다. 본 논문에서는 이러한 noise를 효과적으로 제거하기 위해 hardware filter와 software filter를 제안한다. 또한 선분기반 map building을 위해 개선된 Hough transform 알고리즘과 이동로봇의 실내 환경에서의 navigation 알고리즘을 제안한다. 개발된 시스템은 실험을 통해 증명하였다.