| Presentation | 2023-12-14 Performance Evaluation of CNN-based Classification Models for UAV Signals Muhammad Taqiyuddin, Yuhei Nagao, Hiroshi Ochi, Masayuki Kurosaki, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The evolution of Unmanned Aerial Vehicles (UAVs) has led to the need for enhanced signal classification methods. This paper presents an performance evaluation of Convolutional Neural Network (CNN)-based models for the classification of UAV signal and we extend the study to include Long Short-Term Memory (LSTM) models approach. This study focuses on comparing the ability of CNN and LSTM to distinguish UAV signals with different features from other signals. The results show the potential of CNN to be more accurate than LSTM in categorizing UAV signal models, underscoring its feasibility for improving UAV detection systems. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | CNNLSTMUAVSignal ClassificationPerformance Evaluation |
| Paper # | RCS2023-186 |
| Date of Issue | 2023-12-07 (RCS) |
| Conference Information | |
| Committee | NS / RCS |
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| Conference Date | 2023/12/14(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kyushu Institute of Technology Tobata campus, and Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Multi-hop/Relay/Cooperation, Disaster-resistant wireless network, Sensor/Mesh network, Ad-hoc network, D2D/M2M, Wireless network coding, Handover/AP switching/Connected cell control/Load balancing among base stations/Mobile network dynamic reconfiguration, QoS/QoE assurance, Wireless VoIP, IoT, Edge computing, etc. |
| Chair | Tetsuya Oishi(NTT) / Kenichi Higuchi(Tokyo Univ. of Science) |
| Vice Chair | Takumi Miyoshi(Shibaura Inst. of Tech.) / Fumihide Kojima(NICT) / Osamu Muta(Kyushu Univ.) / Naoto Ishii(NEC) |
| Secretary | Takumi Miyoshi(NTT) / Fumihide Kojima(Kogakuin Univ.) / Osamu Muta(Univ. of Electro-Comm) / Naoto Ishii(Sharp) |
| Assistant | Hiroshi Yamamoto(NTT) / Masashi Iwabuchi(NTT) / Issei Kanno(KDDI Research) / Yuyuan Chang(Tokyo Inst. of Tech) / Kazuki Maruta(Tokyo Univ. of Science) / Kiichi Tateishi(NTT Docomo) |
| Paper Information | |
| Registration To | Technical Committee on Network Systems / Technical Committee on Radio Communication Systems |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Performance Evaluation of CNN-based Classification Models for UAV Signals |
| Sub Title (in English) | |
| Keyword(1) | CNNLSTMUAVSignal ClassificationPerformance Evaluation |
| 1st Author's Name | Muhammad Taqiyuddin |
| 1st Author's Affiliation | Kyushu Institute of Technology(Kyutech) |
| 2nd Author's Name | Yuhei Nagao |
| 2nd Author's Affiliation | Kyushu Institute of Technology(Kyutech) |
| 3rd Author's Name | Hiroshi Ochi |
| 3rd Author's Affiliation | Kyushu Institute of Technology(Kyutech) |
| 4th Author's Name | Masayuki Kurosaki |
| 4th Author's Affiliation | Kyushu Institute of Technology(Kyutech) |
| Date | 2023-12-14 |
| Paper # | RCS2023-186 |
| Volume (vol) | vol.123 |
| Number (no) | RCS-308 |
| Page | pp.pp.42-46(RCS), |
| #Pages | 5 |
| Date of Issue | 2023-12-07 (RCS) |