• Proceedings of the Korean Society of Precision Engineering Conference
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• 2011.06a
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• pp.1167-1168
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• 2011

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2005.06a
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• pp.1719-1723
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• 2005

An automatic target sensing and triggering system for small fire arms is proposed. The system consists of an optical collector, an infrared ray sensor responsive to human body temperature, an electric actuator and a trigger mechanism. TRIZ methodologies are used to develop solutions to several contradictory problems. Experimental results on the system performance is compared with predictions.

• Journal of the Korean Society for Precision Engineering
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• v.31 no.9
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• pp.847-854
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• 2014

The paper presented a method of early fire detection based on the environmental characteristics inside the nacelle of wind turbine generator system(WTGS). The rising rates of the temperature and smoke density were used as the parameters for early fire detection. By considering the characteristics of temperature and smoke density of a nacelle, this method is very reliable and can minimize the possibility of a malfunction of fire detection. The performance of the method was tested through sets of experiments by using nacelle simulator.

• Proceedings of the Korea Institute of Fire Science and Engineering Conference
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• 2012.04a
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• pp.333-336
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• 2012

ISO 13784-1 sandwich panel tests were conducted by FILK, KICT in Korea, SP in Sweden and CSIRO in Australia. Sandwich panels composed of steel sheets, EPS and glass wool supplied by FILK were tested. Mainly heat release rate was compared and equlity of distribution also analyzed on the point of statistical view based on ISO.

• Computers and Concrete
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• v.24 no.3
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• pp.271-282
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• 2019

Concrete undergoes a series of thermo-based physio-chemical changes once exposed to elevated temperatures. Such changes adversely alter the composition of concrete and oftentimes lead to fire-induced explosive spalling. Spalling is a multidimensional, complex and most of all sophisticated phenomenon with the potential to cause significant damage to fire-exposed concrete structures. Despite past and recent research efforts, we continue to be short of a systematic methodology that is able of accurately assessing the tendency of concrete to spall under fire conditions. In order to bridge this knowledge gap, this study explores integrating novel artificial intelligence (AI) techniques; namely, artificial neural network (ANN), adaptive neuro-fuzzy inference system (ANFIS) and genetic algorithm (GA), together with traditional statistical analysis (multilinear regression (MLR)), to arrive at state-of-the-art procedures to predict occurrence of fire-induced spalling. Through a comprehensive datadriven examination of actual fire tests, this study demonstrates that AI techniques provide attractive tools capable of predicting fire-induced spalling phenomenon with high precision.

• Journal of the Korean Society for Precision Engineering
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• v.33 no.5
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• pp.371-376
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• 2016

Safety related workers, such as firefighters, have to wear a protective helmet. The Development of Helmets for safety is in progress to promote the wearable device industry. Several accidents caused by negligence in recent days have raised public attention to safety. For this reason, the amount of national budget funding for the study of fire-fighting and smart safety helmets has increased. However, most previous studies have focused on safety, rather than the application of new technologies based on physical attributes, especially the characteristics of head shape and size, even though fire helmets play the critical role of protection from flames and external shocks etc. in an emergency. This paper will present the smart technologies and newly developed designs for safety helmets that are personalized for each firefighter, based on the characteristics of their head, and will help a rescue operation to be much more safe and efficient.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.1295-1297
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• 2003

Owing to the higher temporal resolution, meteorological satellite data is widely used to monitor the disasters happened on the earth's surface. However, the precision of identifying disaster information is limited by the poor spatial resolution. As known, GIS technology is good at processing and analyzing the geographic information. The result shows, integrating with GIS technology, the ability of monitoring forest fire using meteorological satellite data has been greatly improved.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.9
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• pp.488-494
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• 2019

Precision Guided Missiles after production and militarization have various characteristics that enable the final performance to be identified by conducting live-fire tests after long-term storage. Likewise, the performance and reliability of ${\bigcirc}{\bigcirc}$ Missiles, which are currently used by the Korean Navy, are also verified consistently by conducting live-fire tests after militarization. Specially, the live fire test at '00 year, which was conducted by Korean Navy, showed the result that 'Ring', which is a component of the canister's front cover, was jammed with wings for propulsion and then broke away from the canister during the missile launch process. This situation led to an interruption of the deployment of wings and finally affected the missile's flight performance. The results of a survey of the canisters of those missiles whose live fire tests were conducted successfully, based on the live fire test at '00 year, showed the 'Ring's separation from canisters. This raises recognition for the need to solve the problems of 'Ring's separation and breakaway. This study suggests an improvement derived by the result of live-fire tests and introduces the effect of final launch performance of ${\bigcirc}{\bigcirc}$ Missiles and test result after applying the improvement.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2008.06a
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• pp.1001-1002
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• 2008

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2010.11a
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• pp.673-674
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• 2010