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Counter UAV detection of autonomous mobile listening nodes in ad-hoc system
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Kim, D.-E. | - |
| dc.contributor.author | Choi, S.-J. | - |
| dc.contributor.author | Kim, D. | - |
| dc.date.accessioned | 2023-04-28T00:41:12Z | - |
| dc.date.available | 2023-04-28T00:41:12Z | - |
| dc.date.issued | 2020-12 | - |
| dc.identifier.issn | 0973-5763 | - |
| dc.identifier.uri | https://scholarworks.dongguk.edu/handle/sw.dongguk/7124 | - |
| dc.description.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. © 2020, Pushpa Publishing House. All rights reserved. | - |
| dc.format.extent | 11 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | Pushpa Publishing House | - |
| dc.title | Counter UAV detection of autonomous mobile listening nodes in ad-hoc system | - |
| dc.type | Article | - |
| dc.publisher.location | 인도 | - |
| dc.identifier.doi | 10.17654/HMSIII20147 | - |
| dc.identifier.scopusid | 2-s2.0-85099531588 | - |
| dc.identifier.bibliographicCitation | JP Journal of Heat and Mass Transfer, v.21, no.Special Issue 2, pp 147 - 157 | - |
| dc.citation.title | JP Journal of Heat and Mass Transfer | - |
| dc.citation.volume | 21 | - |
| dc.citation.number | Special Issue 2 | - |
| dc.citation.startPage | 147 | - |
| dc.citation.endPage | 157 | - |
| dc.type.docType | Article | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.subject.keywordAuthor | Ad-hoc network | - |
| dc.subject.keywordAuthor | CNN | - |
| dc.subject.keywordAuthor | Dense | - |
| dc.subject.keywordAuthor | RNN | - |
| dc.subject.keywordAuthor | UAV detection | - |
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Related Researcher
- Kim, Dong Ho
- Software Education Institute