• 한국항공운항학회지
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• 제13권3호
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• pp.73-84
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• 2005

Hanseo University's Tae-an Airfield was opened in July, 2005 for aeronautical education such as aircraft flight, air traffic control, avionics, etc., and will play an important part as a base for local economic and industrial developments. On the contrary, the aircraft noise from the airfield will give an impact against the vicinity of the airfield and become a big issue which the airfield authority has to solve. The aim of this study is to analyse the aircraft noise contour in vicinity of the airfield and to make understand the people around the airfield how much the aircraft noise will have an effect on. For the prediction of the aircraft noise in the local area, this study showed the method to assess the aircraft noise in the developed countries for aviation, and the result to compute WECPNL by INM 6.1 after encoding the various data including environmental input data, tract, and profile. The major results of the study can be summarized as follows ; While the area with influence contour of noise from 75 to 80 WECPNL is 0.555$km^2$, the area from 80 to 85 is 0.343$km^2$, and the area with influence contour of noise over 85 WECPNL is 0.163$km^2$. In addition, there are 4 houses in the contour over 85 WECPNL and the inhabitants(10 people) in this area will have effect from the noise. Therefore Tae-an airfeild authority is preparing the noise-prevention method or noise abatement program. Finally, according to the noise contour, it is one of the best way of decreasing the effect of aircraft noise that 33 runway is assigned as calm-wind runway because there is no resident in the area around 15 threshold.

• 조명전기설비학회논문지
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• 제21권9호
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• pp.12-17
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• 2007

The dynamic false contour noise was analyzed with consideration for the phosphor decay time of an ac PDP by computer simulation based on the measurement of the 1/10 phosphor decay times of the primary colors red, green and blue at the main wavelengths of each phosphor. The noise level of dynamic false contour is strongly dependent on phosphor decay time. The noise level decreases incrementally with the phosphor decay time, whereas the noise width increases. The moving velocity of an object does not affect the noise level. The entire experiment was performed under the condition of 8 subfields ADS driving scheme, 2.5[${\mu}sec$] scan speed, and 5[${\mu}sec$] sustain period with VGA grade panel.

• Journal of Electrical Engineering and Technology
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• 제8권6호
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• pp.1462-1467
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• 2013

A pseudo 480-Hz drive method has been proposed to reduce the dynamic false contour noise that occurs on flat panel displays with displaying grayscale image in the digital mode, such as plasma display panels. The proposed method makes the image movements nearly continuous by rearranging the 8-bit image data displayed for 1 TV field into 8 subfields. The position of the image data rearranged in subfields has been optimized on the basis of the speed of the moving image by computer simulations for the dynamic false contour noise. It is verified that a significant reduction in the dynamic false contour noise is achieved with the proposed method as compared to the conventional noise reduction technologies. Moreover, to reduce the noise in digital mode displays, the proposed technology requires only 8 subfields. Therefore, there is no reduction in the brightness of the image.

• 한국환경과학회지
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• 제8권4호
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• pp.457-464
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• 1999

To develop managing guidance of occupational noise exposure for metal working facility, we have studied about drafting contour map of noise exposure, methods of noise assessment and actual calculation method of time weighted noise exposure. Therefore we have suggested that contour maps of noisy workplace are very important for controlling metal working fluid facility and two kinds of noise assessment method, so called, personal andstatic exposure are necessary to avoid argument between workers and managing group. Finally we would like recommend that the Korean specification of noise exposure should be modified to protect ONIHL(oocupational noise induced hearing loss).

• 전자공학회논문지T
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• 제36T권4호
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• pp.24-29
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• 1999

In this paper, a simple contour-preserving filtering algorithm is proposed. The goal of the contour-preserving filtering method is to remove noise ad granularity as the preprocessing for the image segmentation procedure. Our method finds edge map and separates the image into the edge region and the non-edge region using this edge map. For the non-edge region, typical smoothing filters could be used to remove the noise and the small areas during the segmentation procedure. The result of simulation shows that our method is slightly better than the typical methods such as the median filtering and gradient inverse weighted filtering in the point of view of analysis of variance (ANOVA).

• 환경영향평가
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• 제21권6호
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• pp.893-901
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• 2012

Aircraft noise model such as FAA Integrated Noise Model(INM) has recently been used for forecasting the impact of noise in a residential area near an airport and quantifying the effect of various options for noise mitigation. The noise modeling should be reliable and precise in order to ensure the quality of the results provided. In this study, the validation of the noise levels simulated by the INM against measurement data recorded continuously at multiple monitoring sites was discussed. As a result of validation, the quality of the input data used as a fixed point profiles for the INM was enhanced. The noise contour maps were designed as a way to evaluate the aircraft noise of the vicinity of the airfield. The results of this study indicate that the validation of aircraft noise model by the measurement data would be required for the accurate assessment of the aircraft noise levels.

• 한국멀티미디어학회논문지
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• 제18권10호
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• pp.1149-1156
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• 2015

This paper proposes the hand contour detector which is robust to noises. Existing methods reduce noises by applying morphology to extracted edges, detect finger tips by using the center of hands, or exploit the intersection of curves from hand area candidates based on J-value segmentation(JSEG). However, these approaches are so vulnerable to noises that are prone to detect non-hand parts. We propose the noise tolerant hand contour detection method in which non-skin area noises are removed by applying skin area detection, contour detection, and a threshold value. By using the implemented system, we observed that the system was successfully able to detect hand contours.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2000년도 추계종합학술대회 논문집(4)
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• pp.85-88
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• 2000

We present a new approach to analyzing the dynamic false contour noise of AC plasma display panels (PDP), which is known to degrade the image quality severely. Compared with the existing methods that consider only the amount of light emission from PDP during 1 field time, the proposed approach uses the impulse response model of the human vision system and estimates how the human beings actually feel as the function of time. Experimental results using various benchmark sub-field scan algorithms are included.

• 한국컴퓨터정보학회논문지
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• 제3권1호
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• pp.81-94
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• 1998

영상에서 관심있는 물체의 윤곽선을 추출하기 위해서 Kass등은 Snakes라고 불리우는 능동적 윤곽선 모델(active contour model)을 제안하였다. Snakes 모델은 내부 에너지,영상 에너지, 외부 에너지라는 에너지 함수를 사용하여 물체의 윤곽선을 정의하는 모델로 이 에너지 함수를 최소화함으로써 물체의 윤곽선을 찾을 수 있다 이 모델은 속도가 느리며초기화에 민감하다. 이 문제를 개선하기 위해 Gunn은 두 개의 초기화를 이용하여 정확한 윤곽선을 추출하고 초기화에 덜 민감하도록 하였다. 이 방법은 기존의 다른 방법에 비해 정확한 윤곽선을 추출할 수 있었으나, 속도면 에서는 상당히 효율적이지 못하고 잡음에 민감하였다. 본 논문에서는 이 문제를 해결하기 위하여 snakes을 이루는 각 윤곽점에 8$\times$8크기의 윈도우를 적용하여 윈도우내의 화소에 대해서만 에너지 최소화 알고리즘을 적용하였다.본 논문에서 제안한 방법은 원 영상과 컵 영상의 윤곽선 추출에 적용하였다. 제안한 방법을사용하여 얼굴을 추적하므로써 가상현실등에 응용되고 물체의 움직임 추적에도 응용될 수 있다.

• 한국컴퓨터정보학회논문지
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• 제21권12호
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• pp.27-33
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• 2016

In this paper, we propose the bilateral filter based on median value that can reduce random noise and impulse noise with minimal loss of contour information. In general, EO / IR camera to generate a random or impulse noise due to a number of reasons. This noise reduces the performance of detecting and tracking by signal processing. To reduce noise, our proposed bilateral filter sorts the values of the target pixel and the peripheral pixels, and extracts a median filter coefficients of the Gaussian type. Then to extract the Gaussian filter coefficient involved with the distance between the center pixel and the surrounding pixels. As using those filter coefficients, our proposed method can remove the various noise effectively while minimizing the loss of the contour information. To validate our proposed method, we present experimental results for several IR images.