• Proceedings of the KIEE Conference
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• 2008.04b
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• pp.38-40
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• 2008

마이크로파 도플러 센서는 자신이 발송한 마이크로파가 반사되는 것을 직접 수신하여 주파수를 비교하기 때문에 PIR 센서의 문제점을 완전히 극복한다. 마이크로파 도플러 센서는 대부분의 주위 환경에 둔감하여 주변 온도, 먼지의 적층 여부, 때나 주변 잡음에 대하여 잘 동작한다. 본 연구에서 개발된 전기절약 시스템은 마이크로웨이브 센서로 사람 및 사물의 미세한 움직임을 실시간으로 감지하여 AC전원으로 구동되는 전등을 자동으로 On/Off 함으로써 전력소비를 최소한으로 줄여주는 전기절약형 감지센서이다. 마이크로웨이브 센서는 빛, 먼지, 대기 온도와 같은 자연적인 요소에 영향을 거의 받지 않으므로 현재 고려중인 PIR 센서보다는 오작동이 크게 낮아 좀 더 효율성이 있을 것이다. 본 시스템을 설치하고 실시한 예에서와 같이 약 60% 이상의 에너지 절감 효과가 나타났으며, 이는 공사비 대비 경제성을 계산해 봤을 때, 설치비 회수 기간은 약 1-1.5년이었다. 본 연구 결과로 개발된 마이크로파 도플러 센서는 향후 전기에너지 절감에 충분한 기여를 할 것으로 확신한다.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2003.11a
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• pp.63-64
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• 2003

원심력집진기는 장치가 간단하지만 집진효율이 낮아 주로 여과포집진장치 및 전기집진장치의 전단에만 사용되는 단점을 가지고 있다. 여과포집진장치는 고효율의 집진성능을 가지고 있지만 유입되는 먼지의 농도를 감소시키기 위하여 전단에 원심력집진기를 설치하게 되므로 설치공간 및 동력비가 과다하게 소요되고 있으며, 높은 압력손실, 낮은 여과속도에 의한 장치면적 증가, 균일한 집진이 어려워 일부 여과포에 집중적인 부하가 걸리게 되는 단점 등을 가지고 있다. 전기집진장치의 경우 압력손실이 적고 대용량에 적용 가능하지만, 여과집진장치에 비해 집진효율이 낮고, 먼지의 종류 및 연료연소조건에 따라 집진효율이 크게 영향을 받는 단점을 가지고 있다. (중략)

• Proceedings of the KAIS Fall Conference
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• 2000.10a
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• pp.61-64
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• 2000

일반적으로 에어로졸 상의 고체입자에 대한 분리기술은 크게 전기집진기술과 여과집진기술, 습식기술 등으로 나눌 수 있다. 최근 연료의 탈황으로 인해 배출되는 먼지의 비저항성이 높아져 전기집진기술의 효율이 크게 떨어져 여과집진기술로 조금씩 대체되어가고 있다. 그러나 여과집진기술의 경우, Flow Gas 포집기작의 영향이 지배적이지 못한 l㎛ 미만의 입자들에 대한 제어가 효과적이지 못한 단점이 있다. 본 연구에서는 이러한 1㎛ 미만의 입자들에 대해 정전기력을 부여해서 전기적응집에 의한 입자성장을 유도하여 여과집진시에 필터 표면에 Dendrites Structure를 형성하게끔 유도하여 AP 증가율을 낮추고자 한다. 이에 따른 직접적인 효과는 탈진회수의 감소로 탈진시 소요되는 동력비의 감소와 탈진시 마모나 파손되는 여과포의 수명연장으로 실제 산업공정에 적용시 운전유지비의 감소효과를 꾀할 수 있을 것으로 사료된다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.12
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• pp.6610-6617
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• 2013

This study examined the current and future Indoor Air Quality (IAQ) control device markets and analyzed the recent studies on indoor air pollutantr emoval to develop a new technology for fine dust control. Currently, the mechanical filter technique occupies the bulk of the IAQ control market but the electronic technique is emerging as an alternative to control fine dust efficiently. Among the gaseous VOCs and fine dust particles contaminating the indoor air quality, fine dust particles are more problematic because they threaten human health by penetrating deep into the body and producing secondary contaminants by chemical reaction with VOCs. The electronic IAQ control device using dielectrophoretic and electrostatic forces is a good option for public spaces where many people pass, and at the same time, it needs to consider temperature, humidity, and the particle properties of specific areas to highlight the control efficiency. Electronic-related technology is expected to be used widely in many public/private spaces wherever a dust-free environment is required.

• Korean Journal of Remote Sensing
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• v.38 no.5_3
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• pp.863-872
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• 2022

Rare earth elements (REEs) have been used as one of power tracers for understanding geological and environmental changes due to their similar physico-chemical properties. In this study, we investigated the characteristics of rare earth elements in atmospheric particulates(PM_2.5) collected in Beijing and Gwangju during January 2018. The total concentrations of REEs in the Beijing samples were about 16X higher than those in Gwangju samples, and both samples are enriched in light REE than heavy REE, up to 8-10 times. The Post Archean Australian Shale (PAAS)-normalized pattern showed that both samples are enriched in Eu, Tb, and Er, and displayed positive Eu but negative Ce anomalies. The elemental correlations indicate that both samples originated from China desert and Loess plateau as well as cities surrounding Beijing. This study suggests that REEs in PM_2.5 can be used as a powerful proxy of revealing the difference between China and Korea, and provide basic information on the source and transport of PM_2.5.

• Journal of Life Science
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• v.29 no.6
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• pp.724-734
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• 2019

The present study investigated the cytotoxicity of particulate matter (PM) derived from car air filter (outdoor PM) and home cleaner filter (indoor PM) in the various human cell lines. Each outdoor and indoor PM were harvested by ethanol extraction method, subsequently sieved with 10 um filter paper, sterilized with autoclave and added to culture media. The half maximal inhibitory concentration ($IC_{50}$) values was significantly (p<0.05) lower in the outdoor PM, compared with indoor PM, and the significantly (p<0.05) higher $IC_{50}$ values were observed in the cancer cell lines (A-549 lung adenocarcinoma and AGS stomach adenocarcinoma), than those of normal MRC-5 fibroblasts and dental papilla tissue derived-mesenchymal stem cells (DSC). After being exposed to $100{\mu}g/ml$ outdoor PM for 7 days, the population doubling time (PDT) was significantly (p<0.05) increased in especially MRC-5 and DSC cell lines, compared with untreated cell lines. Further, the expression of senescence-associated ${\beta}$-galactosidase activity was up-regulated in all the cells exposed to outdoor PM than those of untreated control. Besides, the expression level of inflammation-associated genes, such as cyclooxygenase-2 (COX-2) and interleukin-6 (IL-6) was found to be significantly (p<0.05) increased in the outdoor PM-treated cell lines than those of untreated cell lines. Our results showed that PM induces the cytotoxicity via arrest of cell growth, cell damage and inflammation response.

• Particle and aerosol research
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• v.15 no.1
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• pp.37-44
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• 2019

It is recommended for the public to stay at home and to close the doors and windows when a high-particulate-matter environment such as a yellow sand event occurs outside. However, there are lack of empirical studies describing how much outdoor PM infiltrates into a closed house and how much indoor PM an inhabitant is exposed to during the period. In this study, the $PM_{10}$ and $PM_{2.5}$ were measured at the kitchen in an apartment house by an optical particle counter for 3 days including a yellow sand event. The outdoor PMs and the outdoor wind speeds were referred from surrounding weather stations. We analyzed the penetration of $PM_{10-2.5}$ and $PM_{2.5}$ at the test house against the outdoor wind speed supposed corresponding to the change of air exchange rate. In addition, the effect of an indoor activity on change in the indoor PM was investigated. In result, the indoor $PM_{10-2.5}$ was very low even a yellow sand event occurred outside; rather, a contribution of indoor activities to increase in $PM_{10-2.5}$ was higher. In contrast, the indoor $PM_{2.5}$ fluctuated following the outdoor $PM_{2.5}$ trend at high wind speeds or remained almost constant at low wind speed.

• Korean Journal of Optics and Photonics
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• v.31 no.2
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• pp.71-80
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• 2020

In this article, we suggest a new method for measuring an aerosol's extinction coefficient using a commercial camera. For a given image, we choose three pixel-points that are imaged for the same kinds of objects located in similar directions. We suggest and calculate aerosol extinction coefficients from these RGB gray levels and the different distances of the three objects. To compare our measurement results, we also measure extinction coefficients using lidar. Finally, we find that there are meaningful and sensible correlations between these two measurements, with a correlation coefficient of 0.86. We measure the aerosol extinction coefficient at three different RGB wavelengths using the same method. From these aerosol extinction coefficients at three different wavelengths, we find that the Angstrom exponent ranges from 0.7 to 1.6 over a full daytime period. We believe that these Angstrom exponents can give important information about the size of the fine particles.

• Land and Housing Review
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• v.12 no.2
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• pp.91-97
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• 2021

High levels of fine dust is an increasing health concern in major cities such as Seoul. To improve the indoor air quality of apartments, this study examined the ability of an air shower system installed in an apartment unit to remove fine dust (as defined by ISO 12103-A2) from various clothing items of building occupants entering their apartment. Results of the experiment indicate that an air shower system is effective in removing final dust from clothing after one pass through the system. The fine dust removal efficiency for various clothing items was 74% for a dress suit, 70.6% for hiking clothes, 63.3% for knit-wear, 50.5% for a cotton t-shirt, and 38.8% for a coat. Fine dust removal efficiency increased with a second and third pass through the air shower system by an average of 9.1 and 13.9 percentage points respectively compared to a single pass through the system.

• Journal of Advanced Navigation Technology
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• v.25 no.5
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• pp.409-414
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• 2021

The growing concerns on the emission of particulate matter has prompted a demand for highly reliable particulate matter forecasting. Currently, several studies on particulate matter prediction use various deep learning algorithms. In this study, we compared the predictive performances of typical neural networks used for particulate matter prediction. We used deep neural network(DNN), recurrent neural network, and long short-term memory algorithms to design an optimal predictive model on the basis of a hyperparameter search. The results of a comparative analysis of the predictive performances of the models indicate that the variation trend of the actual and predicted values generally showed a good performance. In the analysis based on the root mean square error and accuracy, the DNN-based prediction model showed a higher reliability for prediction errors compared with the other prediction models.