JP Journal of Heat and Mass Transfer
Special Issue II, Advances in Mechanical System and ICT-Convergence, Pages 147 - 157
(December 2020) http://dx.doi.org/10.17654/HMSIII20147 |
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COUNTER UAV DETECTION OF AUTONOMOUS MOBILE LISTENING NODES IN AD-HOC SYSTEM
Da-eun Kim, Seo-jeong Choi and Dongho Kim
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Abstract: Advances in technology have led to innovation in UAVs, often called drones. As a result, the use of a drone, which can threaten civilians, has increased. In order to prevent this, a decentralized UAV detection system was devised. Detection model was established using three models, RNN, CNN, and Dense, with two features including MFCC and Mel-spectrogram. RNN showed the best result with 96% accuracy. As part of a defense system, it was designed decentralized using the ad-hoc network. |
Keywords and phrases: UAV detection, RNN, CNN, dense, ad-hoc network.
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