• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2004년도 춘계학술대회논문집
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• pp.548-553
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• 2004

The construction noise has been considered as one of environment pollution and complaints about it have been increasing every year. In order to reduce construction machinery noise, the product noise labeling for construction machinery has been recommended since 1 February 1996 and in the near future the government will convert the recommended product noise labeling to the mandatory product noise labeling fir high noise construction machinery. Therefore, we investigated the noise and vibration level of 302 construction machines and the effect of noise reduction for the soundproof facilities in construction work sites to support the policy of the government. Additionally, we present the basic data that will be used for setting the standard of construction machinery noise and predicting the noise level near construction work sites in environmental impact assessment.

• 한국소음진동공학회논문집
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• 제15권6호
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• pp.645-651
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• 2005

The construction noise Is one of the main causes of environmental impact. The complaints about it have been increasing every year. In order to reduce construction machinery noise, the product noise labeling for construction machinery has been recommended since 1 February 1996 and In the near future the government will convert the recommended product noise labeling to the mandatory product noise labeling for high noise construction machinery. Therefore, we investigated the noise and vibration level of 302 construction machines in construction work sites. This paper presents the basic data that will be used for setting the standard of construction machinery noise and predicting the noise level near construction work sites in environmental Impact assessment.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2005년도 춘계학술대회논문집
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• pp.100-103
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• 2005

The aim of the product noise labeling is to harmonize the noise control act relating to noise emission standards, conformity assessment procedure, marking, technical documentation and collection of data concerning the noise emission in the environment of equipment for use outdoors. It will contribute to the smooth functioning of the internal market, while protecting human health and well-being.

• 한국소음진동공학회논문집
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• 제23권11호
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• pp.982-986
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• 2013

The noise emitted from construction machinery has long been a cause of environmental disputes, especially to the nearby residents. In 2008, the Ministry of Environment adopted the construction machinery noise labeling system to encourage the development of the low noise construction machinery. After the implementation of the noise labeling system of the construction machinery, the noise emitted from the construction machinery has been decreased over the six years. But, as the quality of life improves, a growing number of people desire more comfortable and quite living environment. Under the situation, new systems like the low noise labeling system are considered to encourage the development of the low noise construction machinery. In accordance with the low noise labeling system, the construction machinery satisfying the standard of low noise are qualified to attach the low noise label in front of the products. Thus, the product qualified the low noise certification will be incentivized by the choice of the consumer. In this paper, we have studied the necessity of the low noise labeling system for the construction machinery and the considerations to adopt the low noise labeling system of construction machinery. And we have studied appropriate criterion to judge the low noise construction machinery. The considerations studied in this paper will be helpful to adopt the low noise labeling system of construction machinery in the future.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2001년도 ICCAS
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• pp.101.6-101
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• 2001

This paper deals with inspect algorithm using visual system. One of the major problems that arise during polymer production is the estimation of the noise of the product(bad pallets). An erroneous output can cause a lot of losses (production and financial losses). Therefore new methods for real-time inspection of the noise are demanded. For this reason, we have presented a development of vision system algorithm for the defect inspection of PE pallets. First of all, in order to detect the edge of object, the differential filter is used. And we apply to the labeling algorithm for feature extraction. This algorithm is designed for the defect inspection of pallets ...

• 한국정보통신학회논문지
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• 제5권6호
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• pp.1157-1162
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• 2001

본 논문에서는 영상 처리 기법을 이용하여 칼라 팔레트 외형상의 불량품을 식별하는 연구를 수행하고자 한다 먼저 기본적인 팔레트 자동선별시스템의 필요성에 대해 기술하며, 각 샘플링된 팔레트에 대해 영상처리기법을 이용한 불순물 검출 알고리즘을 제안하고자 한다. 또한 이를 상용화할 수 있도록 윈도우환경의 비전처리 프로그램을 제시하였다. 끝으로 본 연구에 대한 평가와 앞으로의 연구과제에 대해 기술하고자 한다.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2010년도 춘계학술대회
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• pp.569-571
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• 2010

본 논문에서는 플라스틱 제품의 공정 과정에서 발생하는 미성형, 이물질, 찍힘 등의 제품 불량을 검사하기 위한 비전 검사 시스템을 개발한다. 본 시스템의 검사 알고리즘은 플라스틱 제품의 곡면구조를 고려한 영상 2치화, 모폴로지 연산을 이용한 영상의 노이즈 제거 및 후보영역 구분을 위한 레이블링 기법, 최종 결함 유무 판단을 위한 영상 필터링 및 캘리브레이션(Calibration) 방법 등으로 구성된다. 또한 사용자를 고려한 GUI(Graphical User Interface) 기반의 고속 영상처리 알고리즘 개발을 통해 검사 효율 및 성능을 향상시킨다. 본 검사 시스템의 정확도, 검사 알고리즘 처리 시간 등의 평가를 통해 시스템의 유효성을 확인하였다.