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The Transactions of
the Korean Institute of Electrical Engineers
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ISSN : 1975-8359 (Print)
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The Transactions of the Korean Institute of Electrical Engineers
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Trans. Korean. Inst. Elect. Eng.
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2020-02
(Vol.69 No.2)
10.5370/KIEE.2020.69.2.331
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References
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2
D. R. Lee, W. G. La, H. Kim, 2018, Drone Detection and Identification System using Artificial Intelligence, IEEE Int. Conf. on Information and Communication Technology Convergence (ICTC), pp. 1131-1133
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Cahal Milmo, 2017, Drone terror attack by jihadists in Britain is ‘only a matter of time’, security sources warn, https://inews.co.uk/news/uk/drone-terror-attack-jihadists-britain-matter-time-security-sources-warn/
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Kehl Bayern, 2017, Drones Really Should Stay Away from Nuclear Power Plants According to New FAA Regulations, https://www.lightstalking.com/drones-really-stay-away-nuclear-power-plants-according-new-faa-regulations/
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Y. Chen, P. Aggarwal, J. Choi, C. Kuo, 2017, A Deep Learning Approach to Drone Monitoring, in Proceedings of APSIPA Annual Summit and Conference 2017, pp. 686-691
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M. Saqib, S. D. Khan, N. Sharma, M. Blumenstein, 2017, A Study on Detecting Drones Using Deep Convolutional Neural Networks, IEEE Int. Conf. on Advanced Video and Signal Based Surveillance (AVSS), pp. 1-5
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Dedrone, 2015, DroneTracker Overview, https://www.dedrone.com/products/overview
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K. Yi, H. Lee, C. Park, 2018, Performance Evaluation of Short Range Drone Detection Device, in Proceedings of Information and Control Symposium ICS’2018, pp. 92-93
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K. Yi, D. Kyeong, K. Seo, 2019, Deep Learning Based Drone Detection and Classification, The Transactions of the Korean Institute of Electrical Engineers, Vol. 68, No. 2, pp. 359-363