지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한전자공학회 IEIE Transactions on Smart Processing & Computing IEIE Transactions on Smart Processing & Computing Vol.13 No.4
- 발행연도
- 2024.8
- 수록면
- 313 - 321 (9page)
- DOI
- 10.5573/IEIESPC.2024.13.4.313
이용수
초록· 키워드
오류제보하기
Drones are flying objects that may be controlled remotely or programmed to do a wide range of tasks, including aerial photography, videography, surveys, crop and animal monitoring, search and rescue missions, package delivery, and military operations. Unrestrained use, however, can pose a significant threat to safety, privacy, and security through eavesdropping, flying close to prohibited locations, interfering with public events, and delivering illicit items. Hence, real-time drone detection and tracking are indispensable and appropriate measures. This study developed real-time drone detection and tracking using the most efficient deep-learning approaches. The models were fine-tuned first to suit the required purpose and yield the desired outcome. The performance of the developed system was better than that of earlier endeavors in terms of accuracy and loss. Of the seven fined-tuned models, the Xception model constantly rendered the maximum accuracy with negligible loss. The model outperformed other state-of-the-art architectures, exhibiting an accuracy and loss of 99.18% and 3.83, respectively.
목차
Abstract
1. Introduction
2. Literature Review
3. Methodology
4. Experimental Result Analysis
5. Conclusion and Future Works
References
참고문헌 (22)
참고문헌 신청
E. Kaufmann, “Champion-Level Drone Racing using Deep Reinforcement Learning: Supplementary Data.” Zenodo, 2023. doi: 10.5281/ZENODO.7955278. Article (CrossRef Link)
A. Rejeb, K. Rejeb, S. J. Simske, and H. Treiblmaier, “Drones for supply chain management and logistics: a review and research agenda,” International Journal of Logistics Research and Applications, vol. 26, no. 6. Informa UK Limited, pp. 708-731, Sep. 24, 2021. doi: 10.1080/13675567.2021.1981273. Article (CrossRef Link)
A. Sahebi-Fakhrabad, A. H. Sadeghi, E. Kemahlioglu-Ziya, R. Handfield, H. Tohidi, and I. Vasheghani-Farahani, “The Impact of Opioid Prescribing Limits on Drug Usage in South Carolina: A Novel Geospatial and Time Series Data Analysis,” Healthcare, vol. 11, no. 8. MDPI AG, p. 1132, Apr. 14, 2023. doi: 10.3390/healthcare11081132. Article (CrossRef Link)
K. Flemons et al., “The use of drones for the delivery of diagnostic test kits and medical supplies to remote First Nations communities during Covid-19,” American Journal of Infection Control, vol. 50, no. 8. Elsevier BV, pp. 849-856, Aug. 2022. doi: 10.1016/j.ajic.2022.03.004. Article (CrossRef Link)
F. Alobaid, N. Mertens, R. Starkloff, T. Lanz, C. Heinze, and B. Epple, “Progress in dynamic simulation of thermal power plants,” Progress in Energy and Combustion Science, vol. 59. Elsevier BV, pp. 79-162, Mar. 2017. doi: 10.1016/j.pecs.2016.11.001. Article (CrossRef Link)
A. Rejeb, K. Rejeb, S. J. Simske, and H. Treiblmaier, “Drones for supply chain management and logistics: a review and research agenda,” International Journal of Logistics Research and Applications, vol. 26, no. 6. Informa UK Limited, pp. 708-731, Sep. 24, 2021. doi: 10.1080/13675567.2021.1981273. Article (CrossRef Link)
A. Sahebi-Fakhrabad, A. H. Sadeghi, E. Kemahlioglu-Ziya, R. Handfield, H. Tohidi, and I. Vasheghani-Farahani, “The Impact of Opioid Prescribing Limits on Drug Usage in South Carolina: A Novel Geospatial and Time Series Data Analysis,” Healthcare, vol. 11, no. 8. MDPI AG, p. 1132, Apr. 14, 2023. doi: 10.3390/healthcare11081132. Article (CrossRef Link)
K. Flemons et al., “The use of drones for the delivery of diagnostic test kits and medical supplies to remote First Nations communities during Covid-19,” American Journal of Infection Control, vol. 50, no. 8. Elsevier BV, pp. 849-856, Aug. 2022. doi: 10.1016/j.ajic.2022.03.004. Article (CrossRef Link)
F. Alobaid, N. Mertens, R. Starkloff, T. Lanz, C. Heinze, and B. Epple, “Progress in dynamic simulation of thermal power plants,” Progress in Energy and Combustion Science, vol. 59. Elsevier BV, pp. 79-162, Mar. 2017. doi: 10.1016/j.pecs.2016.11.001. Article (CrossRef Link)
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