• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.4
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• pp.595-601
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• 2018

Recently, as the fine dust level has risen rapidly, there is a great interest. Exposure to fine dust is associated with the development of respiratory and cardiovascular diseases and has been reported to increase death rate. In addition, there exist damage to fine dusts continues at industrial sites. However, exposure to fine dust is inevitable in modern life. Therefore, predicting and minimizing exposure to fine dust is the most efficient way to reduce health and industrial damages. Existing fine dust prediction model is estimated as good, normal, poor, and very bad, depending on the concentration range of the fine dust rather than the concentration value. In this paper, we study and implement to predict the PM10 level by applying the Artificial neural network algorithm and the K-Nearest Neighbor algorithm, which are machine learning algorithms, using the actual weather and air quality data.

• Smart Media Journal
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• v.7 no.3
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• pp.22-28
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• 2018

Air pollution problems in Korea are gradually becoming a higher concern due to various reasons such as fine dust, causing anxiety among people with regard to their health. Although various studies have been carried out on the relationship between the influence of fine dust and a certain disease, they are mostly focusing on the analyzation that fine dust is related to specific illnesses such as respiratory and cardiovascular diseases, hypertension and diabetes. In this paper, we utilize the public data of medical history information to extract ten medical care subjects with the highest number of monthly care in 2016, and analyze the relation of fine dust with certain medical subjects using Pearson correlation coefficient. We also subdivide and analyze the correlation between fine dust and the medical subjects according to their gender and age. Middle-aged Female group with the strongest positive correlation between fine dust and the medical subjects is analyzed with the correlation from 2011 to 2015, with its relevance coefficient extracted by regression analysis in order to predict the correlation with the medical subjects according to the fine dust concentration.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.4
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• pp.139-149
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• 2019

As of 2018, a large amount of Chinese fine dust is flowing into Korea in westerlies. However, the amount of fine dust generated in Korea can not be ignored. Even 52% of the causes of fine dust are domestic factors. Especially in Seoul, where the population is densely populated, the dust levels are high enough to be comparable to other regions. In Seoul, the dust levels are different from each other district. In order to understand the difference of fine dust generation by distinction, it is judged based on the highest traffic volume among the causes of fine dust generation in Seoul. Comparing the traffic volume and the fine dust concentration in 2017, it is possible to know the effect of traffic volume actually, how much it affects.

• Journal of Korea Entertainment Industry Association
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• v.13 no.6
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• pp.69-77
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• 2019

Among the many factors that threaten the improvement of public health and quality of life, the proportion of fine dust is not so small, and the kinds and causes of the dust are also diversified. However, the domestic measuring instrument is in the initial stage and the certification system is insignificant. Recognizing the threat of fine dust for a long time, the United States has established a protocol of measurement standards and measurement methods and applied the developed fine dust measuring device authentication system. Through this system, the United States is leading the world's fine dust industry, technology and market. The EPA, FRM and FEM of the fine dust-related protocol were analyzed to reduce the harmful effects of repeated fine dust every year. In addition, light scattering method and spectroscopy method which can measure in real time by measuring method were examined, and the types and characteristics of fine dust measuring instrument of international certification level were analyzed. Finally, development and service plan of the domestic fine dust measuring instrument are presented.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.1
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• pp.55-58
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• 2024

In this paper, we propose a design and implementation of big data-based fine dust anomaly detection machine learning system. The proposed is system that classifies the fine dust air quality index through meteorological information composed of fine dust and big data. This system classifies fine dust through the design of an anomaly detection algorithm according to the outliers for each air quality index classification categories based on machine learning. Depth data of the image collected from the camera collects images according to the level of fine dust, and then creates a fine dust visibility mask. And, with a learning-based fingerprinting technique through a mono depth estimation algorithm, the fine dust level is derived by inferring the visibility distance of fine dust collected from the monoscope camera. For experimentation and analysis of this method, after creating learning data by matching the fine dust level data and CCTV image data by region and time, a model is created and tested in a real environment.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2003.11a
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• pp.445-446
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• 2003

대기오염물질은 배출되면 인위적으로 제거하는 과정이 용이하지 않을 뿐만 아니라 인체, 자연생태계 및 재산상에 다방면으로 피해를 주는 특성을 가지고 있다. 그중에서도 호흡성 먼지 또는 미세먼지라고 부르고 있는 PM-10은 대기 중 체류시간이 길며 인체에 대한 위해도를 갖고 있으나 최선의 대처 방법은 외출을 삼가하는 등의 미세먼지에 대한 노출을 사전에 방지 하는 방법밖에 없는 것으로 알려져 있다. 따라서 미세먼지에 대한 노출을 사전에 막고 이에 대한 대처를 위하여 미세먼지농도의 예보 및 경보 시스템 체제를 가동해야 할 필요성이 대두되고 있다. (중략)

• The Journal of Bigdata
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• v.2 no.1
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• pp.17-26
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• 2017

The gradual desertification in Northeastern China brought about by the industrial development and global warming, has affected the Korean peninsula as evident by the ultrafine dust geographically and seasonally. People with severe respiratory problems, senior citizens and the infants are susceptible to the ill effects of fine dust which could prove fatal to them. Hence, we need to study the root cause of fine dust emergence and the correlation verification between fine dust and its side effects. This study firstly analyzed clean and contaminated areas classified by industrial elements. We utilized air, weather and industrial data in the area. Next, we detected a change of fine dust in terms of weather and climate. We analyzed correlation of air and weather by influence from domestic and neighboring country. The result indicated that China is the culprit of the emergence of fine dust predicament. Consequently, we can prove that fine dust ($PM_{10}$) and ultrafine dust ($PM_{2.5}$) could arise from geographical, seasonal, and pollutant elements. Therefore, we propose the optimum to make countermeasures about fine dust in terms of industry, topography, population and living residence.

• Journal of the Korean Society of Marine Environment & Safety
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• v.28 no.7
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• pp.1252-1258
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• 2022

The exhaust gas from the marine engines include a quantity of water vapor and particulate matter. The total particulate matter includes filterable particulate matter (FPM) and condensable particulate matter (CPM) that condense after releasing into the atmosphere. The portion of CPM is higher than that of FPM that is removable through the filter before discharging. An experimental setup for waste heat and water recovery and removal of CPM in the exhaust gas was tested using an industrial gas boiler in the laboratory. The water and CPM in the exhaust gas were removed through the first stage of cooling method and further removed through the second stage of absorption method. The efficiencies of water recovery were 73% after the first stage of cooling method and 90% after the second stage of absorption method. At the same time, the CPM was removed by 80-90% through the processes. The waste heat recovered could be used to process heat, and the water recovered could be used to process water in the ship. Furthermore, the CPM, which is a major source of the particulate matter but not subject to administrative regulation, could be removed effectively.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.368-370
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• 2022

WHO 산하의 국제암연구소는 2013 년부터 미세먼지를 1 급 발암 물질로 분류하고 있으며 미세먼지 노출에 대한 질병 발생의 심각성은 점점 수면 위로 드러나고 있는 추세다. 본 연구에서는 국민건강보험공단의 진료 내역 정보 데이터와 2015 년부터 2021 년까지의 미세먼지 및 초미세먼지 월 평균 농도 데이터를 이용하여 미세먼지 및 초미세먼지 농도와 순환기계와 호흡기계 질병 간의 상관 관계를 보이고, 연관성있는 질병을 찾아내었다. 이를 위해 시계열분석, 상관분석, 빈도분석을 시행하였으며 실험 결과 호흡기질환에서는 급성 부비동염, 코의 농양 등의 질병과 순환기질환에서는 상세불명의 원발성 고혈압, 폐색전증이 상관관계가 높은 질병으로 판명되었다.

• Proceedings of the Korean Environmental Health Society Conference
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• 2005.11a
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• pp.147-149
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• 2005

수도권에 위치한 사무실 69개소의 미세먼지를 측정하고 사무실 내 근로자들의 건강자각증상 설문을 통해 미세먼지 농도에 따른 건강 자각증상의 상관성을 살펴보았다. 실태조사를 통한 사무실 실내 미세먼지 농도는 $PM_{10}$의 경우 $114.62{\pm}73.66{\mu}g/m^3$ 로 69개소 중 18개소가 기준을 초과하였고 , $PM_{2.5}$의 경우 $80.15{\pm}53.86{\mu}g/m^3$ 로 69개소 중 35개소가 기준을 초과하였다. 미세먼지와 건강자각증상과의 상관성을 살펴보면 미세먼지 농도가 높을수록 두통, 안구 건조, 목건조 증상이 증가하는 경향을 보였으며 그 외의 증상은 뚜렷한 상관관계를 보이지 않았다.