• 디지털산업정보학회논문지
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• 제7권4호
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• pp.133-139
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• 2011

In this paper, we propose a hybrid filter for noise reduction. The proposed method adjusts rational filtering direction according to an edge in the image using median filtered data. Rational filter modulates the coefficients of a linear lowpass filter to limit its action in presence of image details. By the ratio of polynomials in the input variables, rational filter reduces noise adaptively. Median filter is widely used to reduce impulse noise, but removes some details for highly corrupted images. Also, desirable details are removed when the window size is large. Our proposed algorithm combines rational filter and median filter. Thus, proposed method not only preserves edge, but also reduces noise in uniform region. Experimental results show that our proposed method has better quality than those by existing median and rational filtering methods.

• 한국음향학회지
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• 제40권1호
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• pp.92-98
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• 2021

발전소의 실내는 규모가 크고, 위치마다 소음레벨 편차가 매우 크기 때문에 소음관리가 어렵다. 따라서 실내소음을 효과적으로 관리하기 위해서 소음분포를 분석할 수 있는 소음 가시화 시스템이 필요하다. 터빈실 내를 모델링하고, 선정된 지점의 소음레벨을 측정하여 소음지도를 작성할 수 있는 소음 매핑 시스템을 개발하였다. 그리고 모델의 신뢰성을 높이기 위하여 소음지도와 실제 소음측정 결과와 비교하는 방법을 통하여 모델을 수정하였다. 소음지도에 대한 정기적인 분석을 통하여 설비 이상을 판단할 수 있고, 특정 지점의 현재와 이전 소음에 대한 주파수 및 레벨을 비교 분석함으로써 실내소음을 효과적으로 관리하는 방법을 제시하였다. 매핑 시스템을 활용하면 근무환경을 개선할 수 있는 소음대책의 수립이 가능하고, 기계의 이상 유무를 확인하고, 예방정비를 통해 설비의 신뢰성을 높일 수 있다.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2011년도 추계학술대회 논문집
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• pp.414-415
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• 2011

• 건축역사연구
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• 제31권1호
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• pp.41-50
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• 2022

Traditional wooden buildings deform over time and are vulnerable to fire or earthquakes. Therefore, traditional wooden buildings require continuous management and repair, and securing architectural drawings is essential for repair and restoration. Unlike modernized CAD drawings, traditional wooden building drawings scan and store hand-drawn drawings, and in this process, many noise is included due to damage to the drawing itself. These drawings are digitized, but their utilization is poor due to noise. Difficulties in systematic management of traditional wooden buildings are increasing. Noise removal by existing algorithms has limited drawings that can be applied according to noise characteristics and the performance is not uniform. This study presents deep artificial neural network based noised reduction for architectural drawings. Front/side elevation drawings, floor plans, detail drawings of Korean wooden treasure buildings were considered. First, the noise properties of the architectural drawings were learned with both a cycle generative model and heuristic image fusion methods. Consequently, a noise reduction network was trained through supervised learning using training sets prepared using the noise models. The proposed method provided effective removal of noise without deteriorating fine lines in the architectural drawings and it showed good performance for various noise types.

• 한국음향학회지
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• 제27권8호
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• pp.403-410
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• 2008

급속한 도시인구의 증가와 교통량증가로 도로변 주거지역의 소음문제가 날로 심각해지고 있다. 본 연구에서는 도로교통량과 건축물의 위치와 형태를 고려한 소음수준을 평면적, 입체적으로 예측한다. 소음현황수준을 기초로 하여 소음원인 차량의 속도제어와 차종별 통행제한을 통한 변화치를 비교하여 개선방안을 도출하고자 한다. 분석결과 건물의 입체적분석보다 평면적 분석에서 소음환경기준치를 초과하는 면적의 비율이 높았고 주간보다 야간의 초과비율이 높게 나타났다. 개선방안은 하나의 방안을 실시했을 때보다 여러가지의 개선방안을 조합한 경우에 저감효과가 높게 나타났다.

• 한국음향학회지
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• 제26권7호
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• pp.353-360
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• 2007

급속한 도시화와 인구밀도의 증가로 도시의 주거지역은 점점 고층화, 고밀화 되어가는 추세이다. 그로 인하여 인구의 공간적 집중으로 발생하는 교통수요를 감당하기 위하여 도시내부 도로는 점차 증가하였으며, 주거지역은 도로에 바로 인접하여 개발되고 있다. 이에 따라 도로에 연접한 주거지역의 도로교통소음 문제를 해결하기 위하여 방음벽에 의존하는 실정이었으나, 경관저해, 소음차단성능저해 등 다양한 역기능이 발생하고 있다. 본 연구에서는 방음벽의 역기능을 해소하고 바람직한 개선방안을 제시하기 위하여 도로변에 위치한 주거지역의 현장측정을 통하여 시뮬레이션의 정확도를 검증한 후 방음시설별 성능평가 및 전체 지역을 분석하였다. 그리고 개선방안으로 건축물의 배치형태 변화와 도로단으로부터의 이격거리를 20m 증가시켰다. 분석 결과 도로변과 평행한 공동주택의 피해가 가장 심각하였고, 시설별 분석에서는 방음벽의 성능이 우수하였으며, 건물 배치형태는 $30^{\circ}$ 배치가 우수하며, 이격거리가 증가함에 따라 교통소음이 감소하는 것으로 나타났다.

• 품질경영학회지
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• 제26권2호
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• pp.17-26
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• 1998

Taguchi's parameter design is a method for quality improvement by making the performance fo a system robust to noise. Parameter design with dynamic characteristics has been recently the subject of much interest. This paper is concerned with a review and a generalization of the Signal-to-Noise (SN) ratio, a quality measure for parameter design with dynamic characteristics, proposed by Taguchi. We present a method for determination and analysis of the generalized SN ratio and illustrate its implementation by example.

• 대한안전경영과학회지
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• 제5권2호
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• pp.199-214
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• 2003

With the progress of industrial technology, industrial machinery and home appliances have multi-function and high performances by the electronic control technology. Various results are given from the measuring switching induction noise according to environmental condition and its effects cannot be predicted accurately. Therefore, the output results should be analyzed and applied to practical work. To minimize the false operation, Taguchi Method used to solve the quality problem is adopted to analyze the characteristics within the constrained measuring level.

• KIEAE Journal
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• 제9권1호
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• pp.55-60
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• 2009

This study was carried out to propose the optimum technologies that can be applicable to noise and fugitive dust controlling in construction sites by comparative analysis in cases. The ninety three environmental management technologies applied to fifty-five construction projects conducted during 2005~2007 in Korea were analyzed by checklist method. The construction companies paid more attention to the noise and fugitive dust controlling technologies than the waste and wastewater. The diverse pollution controlling techniques were applied to the architectural projects than the civil projects to meet the environmental requirements in residential area. The fugitive dust controlling technologies(75.3%) were more widely applied to all construction projects than the noise controlling technologies(24.7%). As the noise controlling techniques, the noise barriers in wall-form which are set up as boundary in construction site were more widely used than the noise barriers in curtain-form, in cabin and silencers. Water spraying systems, wind barriers and mechanical sweepers were the preferred technologies for controlling fugitive dust emission.

• 디지털산업정보학회논문지
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• 제8권3호
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• pp.41-48
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• 2012

In this paper, we propose a method of edge detection for noisy image. The proposed method uses a progressive filter for noise reduction and a Sobel operator for edge detection. The progressive filter combines a median filter and a modified rational filter. The proposed method for noise reduction adjusts rational filter direction according to an edge in the image which is obtained by median filtering. Our method effectively attenuates the noise while preserving the image details. Edge detection is performed by a Sobel operator. This operator can be implemented by integer operation and is therefore relatively fast. Our proposed method not only preserves edge, but also reduces noise in uniform region. Thus, edge detection is well performed. Our proposed method could improve results using further developed Sobel operator. Experimental results show that our proposed method has better edge detection with correct positions than those by existing median and rational filtering methods for noisy image.