• 대한음성학회:학술대회논문집
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• 대한음성학회 2007년도 한국음성과학회 공동학술대회 발표논문집
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• pp.37-38
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• 2007

This paper reviews the issues in implementing sound recognizers in real environments. First is the signal corruption caused by background noises and reverberation. Second is the open-set problem which is the problem of rejecting out-of-vocabulary words and noises. These two issues must be solved for noise robust recognizers.

• International Journal of Knowledge Content Development & Technology
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• 제5권2호
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• pp.11-24
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• 2015

It is common for archive libraries to provide public access to historical and ancient document image collections. It is common for such document images to require specialized processing in order to remove background noise and become more legible. Document images may be contaminated with noise during transmission, scanning or conversion to digital form. We can categorize noises by identifying their features and can search for similar patterns in a document image to choose appropriate methods for their removal. In this paper, we propose a hybrid binarization approach for improving the quality of old documents using a combination of global and local thresholding. This article also reviews noises that might appear in scanned document images and discusses some noise removal methods.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2001년도 하계학술대회 논문집 C
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• pp.1543-1545
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• 2001

In general, corona discharges in air are accompanied with electromagnetic wave which has wide frequency range up to UHF and can be detected by rod or loop antennas. But the existence of background noises such as TV, radio or electronic disturbances makes it difficult to separate corona discharge signals from them in the outside fields. The results of experiment using wideband antenna (30kHz - 2GHz) show that corona discharges have dependences on electrode types and independences on background noises.

• 한국통신학회논문지
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• 제25권10B호
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• pp.1821-1831
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• 2000

본 논문에서는 스테레오 물체추적 시스템의 새로운 접근 방법으로 영역기반의 정합인 SAD를 사용하여 복잡한 배경 및 전경에서 추적 물체를 인식하여 추출하고, 광 BPEJTC를 사용하여 주시각 및 카메라의 팬/틸트를 제어하는 실시간 스테레오 물체추적 시스템을 제안하였다. 본 논문에서 제안한 스테레오 물체 추적 시스템은 복잡한 배경 및 주위환경 변화에서도 추적 물체를 정확히 추출하여 적응적으로 스테레오 물체 추적이 가능함을 실험을 통해 확인하였으며, 광학적으로 구성함으로써 스테레오 자동 물체 추적기의 실시간적 구현 가능성을 제시하였다.

• 디지털산업정보학회논문지
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• 제6권2호
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• pp.119-127
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• 2010

In this paper, we propose a new automatic surveillance tracking system that can extract the target from the complex background and foreground noises by using the image-based SAD algorithm and control the servo motor of cameras by using kanatani algorithm. From the experimental results the proposed stereo tracking system is found to track the target adaptively under the circumstance of complex and changing background noises and the possibility of real-time implementation of the proposed system by using the optical system is also suggested.

• 스마트미디어저널
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• 제1권2호
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• pp.34-39
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• 2012

본 연구에서는 노이즈를 제거하고 자연 영상에서 자동으로 꽃을 분할하는 후처리방법을 제시한다. 레벨 셋 알고리즘을 이용한 자연영상 꽃 분할에서는 레벨 셋이 에지 정보에만 의존하기 때문에 기대하지 않았던 분리된 노이즈들이 발생한다. 실험 결과는 제안 방법이 꽃 영역과 배경 영역의 많은 노이즈를 성공적으로 제거하였음을 보여준다.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2001년도 춘계학술대회논문집B
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• pp.670-675
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• 2001

This paper is to propose image segmentation method based on chamfer algorithm. First, we get original image from CCD camera and transform it into gray image. Second, we extract maximum gray value of background and reconstruct and eliminate the background using surface fitting method and bilinear interpolation. Third, we subtract the reconstructed background from gray image to remove noises in gray image. Fourth, we transform the subtracted image into binary image using Otsu's optimal thresholding method. Fifth, we use morphological filters such as areaopen, opening, filling filter etc. to remove noises and isolated points. Sixth, we use chamfer distance or Euclidean distance to this filtered image. Finally, we use watershed algorithm and count microorganisms in image by labeling. To prove the effectiveness, we apply the proposed algorithm to one of Ammonia-oxidizing bacteria, Acinetobacter sp. It is shown that both Euclidean algorithm and chamfer algorithm show over-segmentation. But Chamfer algorithm shows less over-segmentation than Euclidean algorithm.

• Journal of information and communication convergence engineering
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• 제12권3호
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• pp.193-197
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• 2014

Edges are a robust feature for object detection. In this paper, we present an edge-based background modeling method for the detection of moving objects. The edges in the image frames were mapped using robust Canny edge detector. Two edge maps were created and combined to calculate the ultimate moving-edge map. By selecting all the edge pixels of the current frame above the defined threshold of the ultimate moving edges, a temporary background-edge map was created. If the frequencies of the temporary background edge pixels for several frames were above the threshold, then those edge pixels were treated as background edge pixels. We conducted a performance comparison with previous works. The existing edge-based moving-object detection algorithms pose some difficulty due to the changes in background motion, object shape, illumination variation, and noises. The result of the performance evaluation shows that the proposed algorithm can detect moving objects efficiently in real-world scenarios.

• KIEAE Journal
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• 제10권5호
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• pp.109-114
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• 2010

There are many business in complex building, and recently noise claims have increased in those buildings. It is one of the most desirable methods reducing the noise level to establish the noise criteria considering the admittable noise level between the source and receiving room, which are to be derived from the subjective response in the real conditions. Because the degree of annoyance and loudness for the intruding noises in complex building could be changed with background noise level, it is suggested to be researched the relationship between the noise levels and subjective response. In this study, the subjective response for three different background levels in receiving business or rooms were investigated for the typical eight business noise source including aerobic music. The results can be summarized as follows. In conditions of low background noise level(40 dB(A)), there is a tendency of intentionally attention situation (listening) in a subjective test. The other hand in conditions of relatively high background noise level(50 dB(A)), there is a unconscious situation (heraing). As the degree of moderately heard or annoyed in SD rating scale means that the noise is easily recognized in neighboring shops, usually the limit of noise criteria were decided on this rating point, so it will be reasonable to be adopted the criteria rating scale as slight heard or annoyed degree (SD criteria 3).

• 한국음향학회지
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• 제36권5호
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• pp.329-337
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• 2017

미국과 영국에서는 교실의 적정한 음환경을 제공하기 위하여 잔향시간 및 배경소음에 대한 기준이 수립되어 있다. 또한 이를 실현하기 위한 건축계획방법 및 실내마감재 적용에 대한 가이드라인을 제시하고 있다. 그러나 대한민국의 경우 학교 교실의 배경소음 기준을 만족하기 위한 가이드라인이 부족할 뿐만 아니라 이에 기초가 되는 교실 벽체의 차음성능에 대한 실태조사가 부족한 실정이다. 본 연구에서는 학교 교실의 실내외 소음에 대한 차음성능을 조사하기 위하여 대한민국 청주시 소재 중학교 2개소의 외부벽체와 실간벽체의 구조를 조사하였다. 실내외 벽체의 차음성능 및 측로전달소음을 비교분석하기 위하여 투과손실, 가중 표준화 음압레벨차, 음향 감쇠 계수, 신호대잡음비 등을 측정하였다. 연구결과 실간벽체의 경우 건식벽으로 건립된 학교의 차음성능이 습식벽보다 높게 나타났으며, 특히 중고파수대역에서 높은 차음성능을 나타내었다. 외부벽체의 경우 각 학교 별로 차음성능을 비교하였을 때 단창을 이중으로 배치한 학교보다 복층유리를 사용한 학교의 성능이 더 높은 것으로 나타났다. 또한 측로전달소음의 경우 창문을 모두 개방하거나 복도 측 창문과 문을 연 경우 기준을 초과하는 것으로 나타나 내부 소음에 의해 학생이 음성전달에 방해를 받을 수 있음을 알 수 있었다.