• Proceedings of the Korea Society of Environmental Biology Conference
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• 2005.12a
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• pp.86-86
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• 2005

• Proceedings of the Zoological Society Korea Conference
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• 1996.10a
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• pp.197.1-197
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• 1996

No Abstract, See Full Text

• Proceedings of the Zoological Society Korea Conference
• /
• 1997.10b
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• pp.245.2-245
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• 1997

No Abstract, See Full Text

• Proceedings of the Zoological Society Korea Conference
• /
• 1997.10b
• /
• pp.246.1-246
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• 1997

No Abstract, See Full Text

• Proceedings of the Korean Society of Life Science Conference
• /
• 2001.09a
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• pp.69-70
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• 2001

• The Journal of the Korean dental association
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• v.33 no.3 s.310
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• pp.197-207
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• 1995

• Bulletin of the Korean Chemical Society
• /
• v.11 no.1
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• pp.76-77
• /
• 1990

• Proceedings of the Korean Radioactive Waste Society Conference
• /
• 2019.05a
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• pp.41-42
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• 2019

• Transactions of the Korean Society of Automotive Engineers
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• v.22 no.5
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• pp.73-83
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• 2014

CFD(computational fluid dynamics) model is developed to simulate direct injection of ammonia gas phase from ammonia transporting materials into the SCR catalyst in the exhaust pipe of the engine with solid SCR. Configurations of one-hole and four-hole nozzle, circumferential type, porous tube type, and the effect of mixer configurations which commonly used in liquid injection of AdBlue are considered for complex geometries. Mal-distribution index related to concentration of ammonia gas, flow uniformity index related to velocity distribution, and pressure drop related to flow resistance are compared for different configurations of complex geometries at the front section of SCR catalyst. These results are used to design the injection system of ammonia gas phase for solid SCR of target vehicle.

• KIPS Transactions on Software and Data Engineering
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• v.4 no.4
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• pp.169-176
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• 2015

Recently smartphone market is rapidly growing and application market has also grown significantly. Mobile applications have been provided in various forms, such as education, game, SNS, weather and news. And It is distributed through a variety of distribution channels. Malicious applications deployed with malicious objectives are growing as well as applications that can be useful in everyday life well. In this study, Events from a malicious application that is provided by the normal application deployment and Android MalGenome Project through the open market were extracted and analyzed. And using the results, We create a model to determine whether the application is malicious. Finally, model was evaluated using a variety of statistical method.