• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2004.06a
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• pp.37-38
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• 2004

• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2003.06a
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• pp.77-78
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• 2003

• Proceedings of the Korean Radioactive Waste Society Conference
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• 2004.06a
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• pp.305-305
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• 2004

핵물질을 취급하는 시설에서는 핵물질 안전조치 목적의 달성, 즉 핵물질의 군사적 전용 및 도난을 방지하기 위한 하나의 수단으로서 핵물질의 취급 및 이동을 감시하기 위한 감시시스템이 요구된다. 이 연구에서는 이러한 요구에 부응하기 위해 시설 내에서 핵물질이 이동 가능한 모든 경로에 중성자 모니터와 카메라 같은 감시 장비를 설치하고, 이들로부터 실시간으로 방사선 신호와 영상 데이터를 취득ㆍ분석하여 핵물질의 거동을 진단할 수 있는 핵물질 감시시스템을 개발하였다.(중략)

• Proceedings of the Korean Nuclear Society Conference
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• 2004.10a
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• pp.820-821
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• 2004

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1995.10a
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• pp.1182-1185
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• 1995

This paper presents a novel technology for unattented continuous monitoring of radioactive material in hot cell environments. In this monitoring system, the surveillance camera data and NDA data are time synchronized and integrated into the same dimension through data processing. The integrated information is then fed into a neural network to generate diagnostics through data processing. the integrated information of the concept is tested for a spent nuclear fuel transprotation in an operational hot cell at KAERI. The presented integral part of the multi-sensory system and the analytical paradigm may provide an effective technologyical alternative for safeguarding new conceptual hot cell facilities, namely the Dupic facility.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2003.11a
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• pp.135-144
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• 2003

In this paper, the implementation techniques of intelligent nuclear material surveillance system based on the SOM(Self Organized Mapping) was described. Unattended continuous surveillance systems for nuclear facility result in large amounts of data, which require much time and effort to inspect. Therefore, it is necessary to develop system that automatically pinpoints and diagnoses the anomalies from data. In this regards, this paper presents a novel concept of a continuous surveillance system that integrates visual image and radiation data by the use of neural networks based on self-organized feature mapping