• 대한전기학회
Mobile QR Code QR CODE : The Transactions of the Korean Institute of Electrical Engineers
  • COPE
  • kcse
  • 한국과학기술단체총연합회
  • 한국학술지인용색인
  • Scopus
  • crossref
  • orcid

References

1 
Amazon Prime Air, 2017, amazon drone delivery, https://www.amazon.com/Amazon-Prime-Air/b?ie=UTF8&node=8037720011Google Search
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. 1131-1133DOI
3 
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/Google Search
4 
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/Google Search
5 
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. 686-691DOI
6 
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. 1-5DOI
7 
C. Aker, S. Kalkan, 2017, Using deep networks for drone detection, IEEE Int. Conf. on Advanced Video and Signal Based Surveillance (AVSS), pp. 1-6DOI
8 
Dedrone, 2015, DroneTracker Overview, https://www.dedrone.com/products/overviewGoogle Search
9 
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. 92-93Google Search
10 
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. 359-363Google Search