• Journal of Information Technology Services
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• v.18 no.1
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• pp.173-186
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• 2019

Recently, as the amount of fine dust has risen rapidly, our interest is increasing day by day. It is virtually impossible to remove fine dust. However, it is best to predict the concentration of fine dust and minimize exposure to it. In this study, we developed a mathematical model that can predict the concentration of fine dust using various information related to the weather and air quality, which is provided in real time in 'Air Korea (http://www.airkorea.or.kr/)' and 'Weather Data Open Portal (https://data.kma.go.kr/).' In the mathematical model, various domestic seasonal variables and atmospheric state variables are extracted by multiple regression analysis. The parameters that have significant influence on the fine dust concentration are extracted, and using ANN (Artificial Neural Network) and SVM (Support Vector Machine), which are machine learning techniques, we proposed a prediction model. The proposed model can verify its effectiveness by using past dust and weather big data.

• Transactions of Materials Processing
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• v.30 no.3
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• pp.149-156
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• 2021

Fine blanking is a high-precision process combining principles of metal stamping and cold forming. Unlike conventional metal stamping, fine blanking uses a special triple action such as V-ring force, counter force, shearing force. This study performed the effect of pocket-shaped compression molding on the mold life of the fine blanking using the 7.4mm thick SM45C material. In order to determine the lifespan of the punch and die in the fine blanking molds, a trial mold was manufactured and various punch materials were selected to perform the mold life test. A study on the life of a fine blanking mold by applying a thick plate material was experimentally performed through a mold test.

• Proceedings of the Korean Geotechical Society Conference
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• 2003.03a
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• pp.861-866
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• 2003

While coarse geomaterials with abundant fine particles are common, comparatively little information is available to know their engineering behaviour. In this study, the effects of fine particle content of coarse geomaterials on engineering properties, such as shear strength, deformability and permeability were investigated. It was known through large triaxial compression tests that when they are compared with good rock materials, the rock materials with abundant fine particles have different compaction characteristics, low shear strength, low stiffness, and low permeability.

• Bulletin of the Korean Chemical Society
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• v.31 no.7
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• pp.1825-1826
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• 2010

• Proceedings of the Materials Research Society of Korea Conference
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• 2007.05a
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• pp.28.2-28.2
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• 2007

• Journal of Welding and Joining
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• v.13 no.4
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• pp.30-35
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• 1995

전자기기의 소형화는 앞으로도 계속 진행될 것이므로, 이에 필요한 Fine Pitch 또는 고밀도 실장기술의 개발이 지속적으로 요구될 것으로 생각된다. 앞에서 언급한 3가지 Fine Pitch 표면실장을 위한 Solder 합금의 공급 방법중에서 종래의 Screen Print 방법과 Projected Solder Pre-coat 방법은 0.3mm Pitch가 한계인 것으로 생각되며, Super Solder Pro-coat 방법은 좀 더 Fine Pitch 까지도 사용 가능한 기술 로 생각된다. 이외에도 0.1mm 보다 미세한 Pitch의 표면실장을 위하여, Solder에 의한 접합이 아닌, 이방성 도전 접착제와 같은 도전성 매개체를 통하여 접촉에 의한 표면 실장의 개념도 도입하고 있다.

• Proceedings of the Materials Research Society of Korea Conference
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• 2006.11a
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• pp.16.2-16.2
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• 2006

• Proceedings of the Korean Institute of Building Construction Conference
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• 2020.06a
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• pp.163-164
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• 2020

When measuring fine dust at a large-scale site such as complex construction, the change in the value of fine dust measurement is large due to the influence of the time, location, wind speed, wind direction, and humidity. This study aims to find out the results of measuring fine dust in an actual construction site and inferring the changes.

• Proceedings of the Materials Research Society of Korea Conference
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• 1999.11a
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• pp.33-33
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• 1999

• Polymer Science and Technology
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• v.16 no.1
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• pp.4-19
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• 2005