• Proceedings of the KAIS Fall Conference
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• 2011.05a
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• pp.300-302
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• 2011

본 논문에서는 울산지역의 79개 고등학교 238개 교실을 대상으로 측정한 미세먼지($PM_{10}$)의 농도를 학교, 교실, 지역별로 평가하였다. 울산지역 고등학교 미세먼지($PM_{10}$)의 평균농도는 $63.8 \;{\mu}g/m^3$이었고 일반계가 $64.9 \;{\mu}g/m^3$으로 전문계 고등학교 미세먼지($PM_{10}$)의 평균농도에 비해 높게 나타났으며, 사립고등학교가 공립 고등학교 미세먼지($PM_{10}$)의 평균농도 보다 높았다. 또한, 남녀공학 교실의 미세먼지($PM_{10}$) 평균농도가 남고와 여고에 비해 높았으나 통계적인 유의성은 없었다. 학생들의 활동이 많은 일반교실의 평균 미세먼지($PM_{10}$) 농도가 특별실 보다 통계적으로 유의하게 높게 나타났고 유지기준 초과율도 특별실에 비해 약 2배 이상 높았다. 학년별로는 1학년 교실의 미세먼지($PM_{10}$) 농도가 2학년에 비해 통계적으로 유의하게 높았다.

• Particle and aerosol research
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• v.16 no.3
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• pp.65-72
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• 2020

In this study, the indoor fine dust concentration in an office of the Korea Knowledge Industry Center was measured for about 80 hours when the concentration of atmospheric PM_2.5 was very high. The effect of the operation of the air cleaner and the forced ventilation system on the indoor PM_2.5 was investigated, and the particle size distribution of the indoor and outdoor particles was analyzed. When forced ventilator and air purifiers were partially used, the indoor PM_2.5 concentrations were maintained between 27.7 ㎍/㎥ and 32.9 ㎍/㎥ when the atmospheric PM_2.5 was 127.7 ㎍/㎥ to 141.6 ㎍/㎥ during working hours. It is more effective to operate the air purifier without operating the forced ventilation system when the concentration of the PM_2.5 is high since the PM_2.5 penetrating the installed filter is continuously introduced indoor from the outside.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2019.05a
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• pp.56-58
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• 2019

미세먼지 등 대기오염에 대한 국민적 관심 증가로 정부에서는 2022년까지 국내 배출량 30% 감축을 목표로 하는 '미세먼지 관리 종합대책'을 수립(2017년)하였으며, 국제해사기구(IMO)는 선박의 대기오염물질 배출량 감소를 위한 규정을 강화는 등 대기오염물질 감축을 위한 다양한 노력이 추진되고 있다. 그러나, 부산항을 포함한 부산지역의 미세먼지 농도는 선진국 및 WHO 기준에 비해 여전히 2~3배 높은 수준으로 부산의 주요산업인 부산항을 관리 운영하는 주체인 부산항만공사는 '부산항 미세먼지 종합대책'을 수립하여 추진하고 있다. 본 논문에서는 부산항 내 운영 중인 항만 내 대기오염측정소 데이터를 포함한 항만 인근지역과 타항만의 미세먼지 농도를 분석하였으며, 부산항만공사에서 추진한 항만 하역장비 대기오염물질 배출량 조사결과와 '야드트랙터 LNG 연료전환사업', 'AMP설비 설치사업' 등 '부산항 미세먼지 종합대책'과 그 성과를 소개하고 있다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.341-343
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• 2019

As the generation of high concentration particulate matter increases, much attention is focused on the prediction of particulate matter. Particulate matter refers to particulate matter less than $10{\mu}m$ diameter in the atmosphere and is affected by weather changes such as temperature, relative humidity and wind speed. Therefore, various studies have been conducted to analyze the correlation with weather information for particulate matter prediction. However, the nonlinear time series distribution of particulate matter increases the complexity of the prediction model and can lead to inaccurate predictions. In this paper, we try to mitigate the nonlinear characteristics of particulate matter by using cluster algorithm and classification algorithm of machine learning. The machine learning algorithms used are agglomerative clustering, density-based spatial clustering of applications with noise(DBSCAN).

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1995.10a
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• pp.304-307
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• 1995

In this paper, an optical sensing system has been developed to detect the dust in vacuum cleaner. The system works well through self-tuning mechanism, even though there are systemic variance and characteristic change which is caused by the pollution on the surface of the optical elements. Using the developed sensing system, a novel suction power control system has been proposed, which is able to be used for a long time.

• Clinical and Experimental Pediatrics
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• v.46 no.4
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• pp.370-375
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• 2003

Purpose : It has been suggested that the exposure to aeroallergens during early infancy after birth is important in the subsequent development of sensitization and allergic diseases. In Korea, the level of house dust mites as one of the important aeroallergens is known to be the highest in autumn. The aim of this study was to test whether the distribution of month of birth bears a relationship to the presence of mite sensitization in children with respiratory allergy. Methods : Skin prick tests and methacholine provocation tests were performed on 1,327 patients with chronic respiratory symptoms who visited Seoul National University Children's Hospital from January 1995 to May 2002. An analysis of patients' month of birth distribution according to the presence of mite sensitization was performed. Results : Atopic subjects who had at least one positive skin test numbered 864(65.1%); and non-atopic subjects numbered 463(34.9%). Among atopic subjects, 787(59.3%) had positive skin tests to mites and 77(5.8%) had positive skin test only to minor allergens. A significantly greater than expected number of mite atopic subjects were born in the months between August and November(P=0.03), however, the birth month of non-atopic subjects didn't show a consistent seasonal preference. Asthma patients numbered 543(40.9%). Among these, atopic asthmatics numbered 421(77.5%) and non-atopic asthmatics, 122(22.5%). Dust-mite atopic asthmatics numbered 387(91.9%) out of 421 atopic asthmatics. Dust-mite atopic asthmatics were born significantly higher in the season lasting from August to November in comparison to non-atopic asthmatics(P=0.002). Conclusion : Month of birth seems to be related with sensitization to allergens. Our results show that August to November is the risk period for the development of mite sensitization in Korea.

• Journal of Korean Society for Atmospheric Environment
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• v.22 no.5
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• pp.535-553
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• 2006

Various aspects of air quality problems caused by aerosols in Seoul are discussed. Based on the measurement data, it was found that the general air quality in Seoul has improved during last twenty years. However, PM10 concentration in Seoul is still higher than other cities in Korea and worldwide. At Seoul, it was suggested that secondary aerosols are as important as aerosols directly emitted in Seoul or transported from outside.

• Journal of Platform Technology
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• v.8 no.4
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• pp.59-69
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• 2020

Recently, the seriousness of ultrafine dust and fine dust has emerged as a national disaster, but small and medium-sized cities in provincial areas lack fine dust monitoring stations compared to their area, making it difficult to manage fine dust. Although the computing resources for collecting and processing fine dust data are not large, it is necessary to utilize cloud and private and public data to share data. In this paper, we proposed a small edge computing system that can measure fine dust, ultrafine dust and temperature and humidity and process it to provide real-time control of fine dust and service to the public. Collecting fine dust data and using public and private data to service fine dust ratings is efficient to handle with edge computing using raspberry pie because the amount of data is not large and the processing load is not large. For the experiment, the experiment system was constructed using three sensors, raspberry pie and Thinkspeak, and the fine dust measurement was conducted in northern part of kyongbuk region. The results of the experiment confirmed the measured fine dust measurement results over time based on the GIS data of the private sector.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.10a
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• pp.442-444
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• 2012

Depolarization characteristics of aerosol and cloud measured by dual wavelengths polarization lidar are examined. Ratio of depolarization ratio (RDR) between 1064 and 532nm are analyzed and compared with spherical aerosols and cloud. RDR of dust aerosols is exponentially decreased according to the increase of depolarization ratio at 532nm. The RDR of spherical aerosol is in the range of 1.5~6, dust aerosol is 0.98~4, and cloud is 0.7~1.77. Vertical distribution of dust aerosol and Relative Humidity (RH) are compared. In general, the RH in the dust layer are in the range of 30~60%. However, higher RH is frequently observed in the dust aerosols layer. In the condition of higher RH over 75%, the RDR of the dust aerosol are also increased to the range of 2~4.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.11a
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• pp.438-441
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• 2017

드론에 미세먼지 측정 센서를 장착하고 원거리에서 비행시킴으로써, 주기적으로 특정 구역(비행 가능 구역)의 먼지 농도를 측정할 수 있다. 먼지 센서와 GPS로 측정된 데이터는 지그비 통신을 통해 지상 측정센터의 MySQL 서버로 무선으로 전송되며, 서버에 축적된 데이터는 어플 또는 웹과 연동되어 확인이 가능하다. 통계치를 이용하여 미세먼지 수치가 높을 경우, 해당 지역에 문자 경보 서비스도 제공한다.