• Proceedings of the Korean Society for Technology of Plasticity Conference
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• 1997.03a
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• pp.94-97
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• 1997

금속을 반고상 상태에서 성형하기 위하여 미세조직학적 거동을 밝히기 위해, 본 연 구에서는 높은 비강도, 내마모성을 가진 과공정 Al-Si 합금을 반응고 가공하였을 때의 미세 조직과 상온 가공 후 반고상 온도로 일정시간 유지하였을 때의 미세조직을 관찰하였다. 일 반주조시의 개량 원소 P과 Sr을 첨가하였으며 쐐기형 주조재, 압연재, Si 입자강화 Alrl 복 합재료를 반고상 상태로 가열한 미세조직을 관찰하여 초정 Si입자의 형상 변화를 관찰하였 다. 반응고 교반시 초기에는 P과 Sr의 첨가에 의해 초정 Si입자가 미세화 되었으나 교반이 지속되어 가면서 이러한 경향은 감소하였으며 구상에 가까운 형태로 변화 하였는데, 이는 교반이 지속되면서 첨가 원소의 효과보다 교반 자체의 미세조직 변화 기구에의 의존도가 높 아지기 때문인 것으로 사료된다. 냉각속도를 달리한 쐐기 형상에서의 금형에서 주조된 미세 조직을 관찰한 결과 냉각속도가 느릴 때에만 첨가원소의 영향이 나타났으며, 반고상 온도 유지 후 초정 크기에는 큰 변화가 없었으나 $\alpha$-halo가 형성되고 미세한 Si입자가 생성되었 다. 이는 입자 크기의 성장에 따른 주위의 농도구배로 인해 생성된 것으로 사료된다. 압연시 첨가원소는 핵생성과 재결정을 촉진시켜 초정 Si의 크기를 크게 감소시켰다. 반용융 처리시 초정 Si입자는 약간 성장하였으며, $\alpha$-halo도 생성되었다. 압출한 시료를 반용융 처리한 경 우 Si입자의 형상 변화는 거의 없었으며, Si입자에 형성되어 있던 산화막이 기지와 초정 Si 압자간의 확산장벽으로 작용하여 $\alpha$-halo가 거의 생성되지 않았다. 반응고 교반시 미세조직 변화 기구로는 취성파괴, 합체, 마모를 제안하였으며, 각 공정에서의 초정 Si결정의 크기를 비교하였을 때 45$\mu\textrm{m}$ 이하의 분말을 섞어 압출하였을 때 가장 작은 초정 Si입자 크기를 얻음 을 볼 수 있었다.

• Journal of Korean Society of Environmental Engineers
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• v.35 no.12
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• pp.929-936
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• 2013

The saturator and injection nozzle are important facilities on the dissolved air flotation process. To increase the formation of micro bubble, it is required to improve the air dissolving performance in the saturator and keep the pressure uniform from the saturator to the nozzle. This study aimed to evaluate the performance of the saturator and the hydraulic effect of the nozzle and the pipe structure. The air volume concentration, bubble size and bubble residual time were measured in the test. The saturator, which had mounted with the spray nozzle, showed a good performance for bubble formation. Also, the characteristics of micro bubble formation were influenced by pressure uniformity and flow velocity through the orifice in the nozzle.

• 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.

• Journal of Convergence for Information Technology
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• v.9 no.9
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• pp.252-257
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• 2019

We investigated the microstructure and morphological characteristics of microplastics added to rinse off cosmetics by scanning electron microscope. The size of the microplastic was in a wide range of sizes, from $250{\mu}m$ to 1.5mm in diameter. The small microplastics were in the shape of elongated particles and the large microplastics were cuboidal. Most cubic microplastics were observed in the form of squares or rectangles. The surface of the cubic microplastic was smoothly observed without protruding portions, but irregularly many gaps were formed. The gap between openings was measured from about $5{\mu}m$ to $20{\mu}m$. It has not been confirmed that these gaps are formed from the surface of the microplastic to the inside there of.

• 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.

• Korean Journal of Food Science and Technology
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• v.54 no.2
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• pp.163-170
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• 2022

Aronia (Aronia melanocarpa cv. Viking) contains high amounts of anthocyanins, which are susceptible to heat. This study was conducted to identify an efficient coating material for encapsulating aronia extract to enhance the stability of anthocyanins during cooking. Maltodextrin, maltodextrin+gum Arabic, and maltodextrin+carboxymethyl cellulose were chosen as the coating materials, mixed with aronia extract at a ratio of 2:1, and freeze-dried after homogenization. The encapsulated aronia extract was then used as a sulgidduk ingredient. Sulgidduk prepared with the encapsulated aronia had significantly higher values for redness, anthocyanin retention, total phenolic content, and antioxidant activity compared to sulgidduk prepared with non-encapsulated aronia. In addition, the sensory evaluation revealed that sulgidduk prepared with encapsulated aronia produced better color and taste. These results indicate that the encapsulation of aronia extract improved the stability of the anthocyanins in aronia, and encapsulated aronia can be used as a functional colorant in the food industry.

• 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.

• Journal of Energy Engineering
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• v.25 no.1
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• pp.23-28
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• 2016

In spite of various merit of algae as biofuel, the production cost of algae is a considerable obstacle for commercialization. The concurrent development of essential technologies is needed for the cultivating, harvesting, extracting and energy transformation. The production cost of algae biofuel has still higher than that of the other commercial biofuel. The major research activity has been focused on the cultivating and the research of other processes has been done with relatively lower activity. It is difficult to separate the algae from water because of the similar magnitude of density each other. The agglomeration and extracting of algae with the hybrid technology using ultrasonic wave is rare effect of environmental hazard and also it is appropriate technology for the next generation energy resources. The present research is investigated for the effective separation of algae from water with the ultrasonics wave. The aim of the present research is focused on the establishment of optimal design of algae agglomeration system. For this purpose, the computational fluid dynamic analysis has been conducted in the flow field with ultrasonic wave and algae flow to clarify the mechanism of algae separation by ultrasonic wave.