• 제목/요약/키워드: Airborne noise

검색결과 109건 처리시간 0.028초

주택내 주거공간에 따른 부유세균 농도 분포 및 종 동정 연구 (Airborne Bacteria Concentration and Species Identification in Residential Living Spaces)

  • 김성연;정원화;황은설;김지혜;정준식;이재원;정현미;권명희
    • 한국환경보건학회지
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    • 제42권6호
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    • pp.438-449
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    • 2016
  • Objectives: Exposure to airborne bacteria is associated with adverse health effects such as respiratory and infectious diseases. This study evaluated airborne bacterial concentrations in the living rooms, kitchens, and toilets of 30 homes. Methods: Bacteria were sampled with an MAS100 impactor in three spaces in the subject homes between April 2014 and February 2015. Bacteria were grown on TSA plates for 48 hours at $35^{\circ}C$. The bacterial strains were isolated and amplified by polymerase chain reaction. Results: The most culturable bacteria were found in toilets ($624.0CFU/m^3$, GM: $417.3CFU/m^3$), followed by in the kitchen ($503.8CFU/m^3$, GM: $324.9CFU/m^3$). The dominant genera identified were: Staphylococcus sp.(19%), Micrococcus sp.(16%), and Bacillus sp.(11%) in the indoor air and Bacillus sp. (30%) in the outdoor air. Gram-positive bacteria comprised more than half of all colonies. Conclusion: In this study, culturable bacteria concentrations were higher than those reported in other spaces. Therefore, it is important to control relative humidity and remove moisture to prevent bacteria from multiplying. Additionally, the dominant species in indoor air were Staphylococcus sp. and Micrococcus sp. These are found on the human skin, mucous membranes, and hair, so human activity can affect bacterial distribution. Therefore, cleaning and controlling moisture are important for reducing indoor bacterial concentrations.

DNA 기반 곰팡이 평가기법을 활용한 주택의 실내 곰팡이 노출수준 평가 (Evaluation of Indoor Mold Exposure Level in dwelling Using DNA-Based Mold Assessment Method)

  • 황은설;서성철;이주영;류정민;권명희;정현미;조용민;이정섭
    • 한국산업보건학회지
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    • 제28권4호
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    • pp.382-392
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    • 2018
  • Objective: Allergic diseases such as asthma due to fungal exposure in houses have increased, and proper management is urgent. Mold can grow in the air, floor, walls, and other areas according to environmental conditions, and there are many limitations to the conventional methodology for examining fungal exposure. For this reason, the degree of fungal contamination is being evaluated by ERMI (Environmental Relative Moldiness Index), a quantitative analysis method proposed by the EPA. In this study, we compared ERMI values between water-damaged dwellings and non-damaged ones to evaluate the effectiveness of Korean ERMI values. We also explored the association of ERMI values with the level of airborne mold and characteristics of dwellings. Methods: Floor dust was collected after installing a Dustream collector on the suction port of a vacuum cleaner. The collected samples were filtered to remove only 5 mg of dust, and DNA was extracted using the FastDNA SPIN KIT protocol. Results: The ERMI values were found to be 19.6 (-6.9-58.8) for flooded houses, 7.5 (-29.2-48.3) for leaks/condensation, and 0.8 (-29.2-37.9) for non-damaged dwellings. The airborne concentration of mold for flooded, leakage or condensed, and non-damaged houses were $684CFU/m^3$, $566CFU/m^3$, and $378CFU/m^3$, respectively. The correlation between ERMI values and the levels of airborne mold was low (R = 0.038), but a weakly significant association of the ERMI values with the concentration of particulate matter ($PM_{10}$) was observed as well(R=0.231,P<0.05). Conclusions: Our findings show that the reference value using ERMI can be used to distinguish water-damaged and non-damaged dwellings. It is believed that ERMI values could be a promising tool for assessing long-term fungal exposure in dwellings.

군용 궤도장비 보조동력장치의 소음저감 최적화 연구 (A Study on Optimization of Noise Reduction of Auxiliary Power Unit for Military Tracked Vehicle)

  • 이주승;김병호;김병현
    • 한국산학기술학회논문지
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    • 제19권8호
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    • pp.336-342
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    • 2018
  • 군용으로 사용하는 궤도장비 디젤엔진의 보조동력장치에 대한 소음저감은 소요군의 감성품질을 만족시키는 중요한 요소 중 하나이다. 본 연구에서 이러한 보조동력장치의 소음을 줄이기 위해 구조기인소음을 저감하는 방법과 공기기인소음을 저감하는 방법을 고안하여 시험을 수행하였다. 그 결과 구조기인소음 저감을 위해 소음기를 개선하였을 때 약 22 dB(A)의 소음저감 효과가 있었다. 공기기인소음 저감의 영향을 알아보기 위해 흡음재의 종류와 후방문 그릴의 형상에 따른 소음을 측정하였고 그 영향은 인간이 인지하지 못하는 수준인 3 dB(A) 미만의 소음저감 효과가 나타났다. 또한, 실제차량에 소음저감을 위한 방안들을 적용하여 시험한 결과 구조기인소음을 저감하였을 때 약 9 dB(A)의 소음저감 효과가 나타났으며 공기기인소음의 저감효과는 1 dB(A) 이하로 측정된 것을 확인하였다. 따라서 궤도장비의 APU 소음저감을 위해서는 공기기인소음을 저감하는 방법보다 구조물을 통해 전달되는 소음을 저감하는 방안이 효과적이라는 것을 확인하였다. 본 연구결과를 통해 추후 개발하는 타 군용 궤도장비의 소음을 저감하기 위한 기초자료로 사용될 것으로 기대된다.

Destripe Hyperspectral Images with Spectral-spatial Adaptive Unidirectional Variation and Sparse Representation

  • Zhou, Dabiao;Wang, Dejiang;Huo, Lijun;Jia, Ping
    • Journal of the Optical Society of Korea
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    • 제20권6호
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    • pp.752-761
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    • 2016
  • Hyperspectral images are often contaminated with stripe noise, which severely degrades the imaging quality and the precision of the subsequent processing. In this paper, a variational model is proposed by employing spectral-spatial adaptive unidirectional variation and a sparse representation. Unlike traditional methods, we exploit the spectral correction and remove stripes in different bands and different regions adaptively, instead of selecting parameters band by band. The regularization strength adapts to the spectrally varying stripe intensities and the spatially varying texture information. Spectral correlation is exploited via dictionary learning in the sparse representation framework to prevent spectral distortion. Moreover, the minimization problem, which contains two unsmooth and inseparable $l_1$-norm terms, is optimized by the split Bregman approach. Experimental results, on datasets from several imaging systems, demonstrate that the proposed method can remove stripe noise effectively and adaptively, as well as preserve original detail information.

에어노드 기반 무선센서네트워크 구축을 위한 적응형 오르막경사법 기반의 자율무인비행로봇제어 (Autonomous Unmanned Flying Robot Control for Reconfigurable Airborne Wireless Sensor Networks Using Adaptive Gradient Climbing Algorithm)

  • 이덕진
    • 로봇학회논문지
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    • 제6권2호
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    • pp.97-107
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    • 2011
  • This paper describes efficient flight control algorithms for building a reconfigurable ad-hoc wireless sensor networks between nodes on the ground and airborne nodes mounted on autonomous vehicles to increase the operational range of an aerial robot or the communication connectivity. Two autonomous flight control algorithms based on adaptive gradient climbing approach are developed to steer the aerial vehicles to reach optimal locations for the maximum communication throughputs in the airborne sensor networks. The first autonomous vehicle control algorithm is presented for seeking the source of a scalar signal by directly using the extremum-seeking based forward surge control approach with no position information of the aerial vehicle. The second flight control algorithm is developed with the angular rate command by integrating an adaptive gradient climbing technique which uses an on-line gradient estimator to identify the derivative of a performance cost function. They incorporate the network performance into the feedback path to mitigate interference and noise. A communication propagation model is used to predict the link quality of the communication connectivity between distributed nodes. Simulation study is conducted to evaluate the effectiveness of the proposed reconfigurable airborne wireless networking control algorithms.