Doan Van Sang - Publications

International Journal

[J21] R. Akter, V. -S. Doan, A. Zainudin and D. -S. Kim, "Sparsely Connected Low Complexity CNN for Unmanned Vehicles Detection - Sensing RF Signal," in IEEE Transactions on Vehicular Technology, doi: 10.1109/TVT.2024.3414437. (ISI, IF = 6.1).

[J20] Van-Tra Nguyen, Chi-Thanh Vu, Van-Sang Doan2,*, "Improving Deep CNN-Based Radar Target Classification Performance by Applying a Denoise Filter", Journal of Electromagnetic Engineering and Science 2024;24(2):198-205. doi: https://doi.org/10.26866/jees.2024.2.r.220. (ISI Q2, IF = 2.3).

[J19] Duy-Thai Nguyen, Thanh-Hai Le, Van-Sang Doan, Van-Phuc Hoang, "UNet-rootMUSIC: A high accuracy direction of arrival estimation method under array imperfection", AEU - International Journal of Electronics and Communications, 2023, 155008, ISSN 1434-8411, https://doi.org/10.1016/j.aeue.2023.155008.

[J18] Hoang, VP., Do, NT. & Doan, V.S. Performance Analysis of Deep Learning Based Non-profiled Side Channel Attacks Using Significant Hamming Weight Labeling. Mobile Netw Appl (2023). https://doi.org/10.1007/s11036-023-02128-4. (ISI Q2, IF = 3.077).

[J17] Do, NT., Hoang, VP. & Doan, V.S. A novel non-profiled side channel attack based on multi-output regression neural network. J Cryptogr Eng (2023). https://doi.org/10.1007/s13389-023-00314-4 (ISI Q2, IF = 1.585)

[J16] N.-T Do, V.-P. Hoang. V. S. Doan and C.-K. Pham, "On the performance of non‐profiled side channel attacks based on deep learning techniques," IET Inf. Secur. 1–17 (2022). https://doi.org/10.1049/ise2.12102. (ISI Q2, IF = 1.3).

[J15] Van-Sang Doan, Thien Huynh-The, Van-Phuc Hoang and Jiri Vesely, "Phase-Difference Measurement-based Angle of Arrival Estimation Using Long-baseline Interferometer," in the IET Radar, Sonar & Navigation, 1– 17 (2022). DOI: 10.1049/rsn2.12352. (Q2, IF = 1.596).

[J14] V. -P. Hoang, N. -T. Do and V. S. Doan, "Efficient Non-profiled Side Channel Attack Using Multi-output Classification Neural Network," in IEEE Embedded Systems Letters, 2022, doi: 10.1109/LES.2022.3213443. (ISI Q2, IF = 1.524).

[J13] H. Le, V.-P. Hoang, V. S. Doan, and D. P. Le, “Dop-DenseNet: Densely Convolutional Neural Network-Based Gesture Recognition Using a Micro-Doppler Radar,” Journal of Electromagnetic Engineering and Science, vol. 22, no. 3, pp. 335–343, May 2022, doi: 10.26866/jees.2022.3.r.95. (IF = 2.69)

[J12] R. Akter, M. Golam, V. -S. Doan, J. -M. Lee and D. -S. Kim, "IoMT-Net: Blockchain Integrated Unauthorized UAV Localization Using Lightweight Convolution Neural Network for Internet of Military Things," in IEEE Internet of Things Journal, doi: 10.1109/JIOT.2022.3176310. (ISI Q1, IF = 9.5)

[J11] V. -S. Doan, T. Huynh-The, V. -P. Hoang and D. -T. Nguyen, "MoDANet: Multi-task Deep Network for Joint Automatic Modulation Classification and Direction of Arrival Estimation," in IEEE Communications Letters, doi: 10.1109/LCOMM.2021.3132018. (ISI Journal, Q1, IF = 3.436)

[J10] Rubina Akter, V.-S. Doan, Jae-Min Lee, Dong-Seong Kim, "CNN-SSDI: Convolution neural network inspired surveillance system for UAVs detection and identification," Computer Networks, Volume 201, 2021, 108519, ISSN 1389-1286, https://doi.org/10.1016/j.comnet.2021.108519.

[J9] R. Akter, V. -S. Doan, T. Huynh-The and D. -S. Kim, "RFDOA-Net: An Efficient ConvNet for RF-based DOA Estimation in UAV Surveillance Systems," in IEEE Transactions on Vehicular Technology, doi: 10.1109/TVT.2021.3114058. (ISI Q1, IF = 5.978)

[J8] T. Huynh-The, C. -H. Hua, V. -S. Doan, Q. -V. Pham and D. -S. Kim, "Accurate Deep CNN-Based Waveform Recognition for Intelligent Radar Systems," in IEEE Communications Letters, vol. 25, no. 9, pp. 2938-2942, Sept. 2021, doi: 10.1109/LCOMM.2021.3095278. (ISI Journal, Q1: IF = 3.436)

[J7] T. Huynh-The, V. -S. Doan, C. -H. Hua, Q. -V. Pham, T. -V. Nguyen and D. -S. Kim, "Accurate LPI Radar Waveform Recognition With CWD-TFA for Deep Convolutional Network," in IEEE Wireless Communications Letters, vol. 10, no. 8, pp. 1638-1642, Aug. 2021, doi: 10.1109/LWC.2021.3075880. (ISI journal, Q1: 4.348).

[J6] X.L. Tran, T.H. Nguyen, J. Vesely, F. Dvorak, V.M. Duong, and V.S. Doan, “Optimization of Non-uniform Planar Antenna Array Topology in Two-dimensional DOA Estimation,” in Advances in Military Technology, Vol. 15, No. 2, 2020, pp. 393-403. (Scopus Journal).

[J5] S.H. Kim, J.W. Kim, V.S. Doan, and D.S. Kim, "Lightweight Deep Learning Model for Automatic Modulation Classification in Cognitive Radio Networks," in IEEE Access, vol. 8, pp. 197532-197541, 2020. (ISI Journal, Q2: 3.367).

[J4] V.S. Doan, T. Huynh-The, and D.S. Kim, "Underwater Acoustic Target Classification Based on Dense Convolutional Neural Network," in IEEE Geoscience and Remote Sensing Letters, 19 Oct. 2020. (ISI Journal Q1:3.966).

[J3] V.S. Doan, and D.-S. Kim, “DOA Estimation Of Multiple Non-Coherent and Coherent Signals Using Element Transposition of Covariance Matrix,” ICT Express, Volume 6, Issue 2, 2020, Pages 67-75, ISSN 2405-9595, https://doi.org/10.1016/j.icte.2020.03.008. (ISI journal Q1:4.317).

[J2] P. Janu, and S.V. Doan, “Multifunctional Signal Generator for Calibration System of Jet Engine Exhaust Gas Temperature Measurement”, Periodica Polytechnica Transportation Engineering, 2019, vol. 47, no. 1, pp. 25-28, ISSN 1587-3811. (Scopus Journal)

[J1] D. Biolek, Z. Kolka, J. Vavra, and S.V. Doan, “Universal Emulator of Memristive and Other Two-Terminal Devices”. International Journal of Unconventional Computing, 2016, vol. 12, no. 4, p. 281-302. ISSN 1548-7199. (ISI Journal Q2:1.844)

International Conference Proceeding

[C30] H. T. Yen, V. -P. Hoang, Q. -K. Trinh, V. S. Doan and G. Sun, "Sleep Apnea Patient Monitoring Using Continuous-wave Radar," 2023 IEEE Statistical Signal Processing Workshop (SSP), Hanoi, Vietnam, 2023, pp. 295-298, doi: 10.1109/SSP53291.2023.10208017.

[C29] R. Akter, M. Golam, A. Zainudin, V. -S. Doan and D. -S. Kim, "RF Signal-Based Multipurpose UAV Surveillance System Using Deep Neural Network," 2022 13th International Conference on Information and Communication Technology Convergence (ICTC), Jeju Island, Korea, Republic of, 2022, pp. 555-559, doi: 10.1109/ICTC55196.2022.9952604.

[C28] H. -K. Le, V. -P. Hoang, V. -S. Doan, M. -T. Hoang and N. P. Dao, "Performance Analysis of Convolutional Neural Networks with Different Window Functions for Automatic Modulation Classification," 2022 13th International Conference on Information and Communication Technology Convergence (ICTC), Jeju Island, Korea, Republic of, 2022, pp. 153-157, doi: 10.1109/ICTC55196.2022.9952750.

[C27] M. Golam, R. Akter, R. Naufal, V. -S. Doan, J. -M. Lee and D. -S. Kim, "Blockchain Inspired Intruder UAV Localization Using Lightweight CNN for Internet of Battlefield Things," MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM), Rockville, MD, USA, 2022, pp. 342-349, doi: 10.1109/MILCOM55135.2022.10017795.

[C26] N. Nguyen, M. Pham, V. Le, D. Duong Quoc and V. -S. Doan, "Micro-Doppler signatures based human activity classification using Dense-Inception Neural Network," 2022 International Conference on Advanced Technologies for Communications (ATC), 2022, pp. 268-273, doi: 10.1109/ATC55345.2022.9943046.

[C25] D. -T. Nguyen, T. -H. Le, V. -P. Hoang, V. -S. Doan and D. -T. Thai, "Combining U-Net Auto-encoder and MUSIC Algorithm for Improving DOA Estimation Accuracy under Defects of Antenna Array," 2022 International Conference on Advanced Technologies for Communications (ATC), 2022, pp. 413-417, doi: 10.1109/ATC55345.2022.9943003.

[C24] N. -T. Dol, P. -C. Le, V. -P. Hoang, V. -S. Doan, H. G. Nguyen and C. -K. Pham, "MO-DLSCA: Deep Learning Based Non-profiled Side Channel Analysis Using Multi-output Neural Networks," 2022 International Conference on Advanced Technologies for Communications (ATC), 2022, pp. 245-250, doi: 10.1109/ATC55345.2022.9943024.

[C23] R. Akter, V. -S. Doan, A. Zainudin and D. -S. Kim, "An Explainable Multi-Task Learning Approach for RF-based UAV Surveillance Systems," 2022 Thirteenth International Conference on Ubiquitous and Future Networks (ICUFN), 2022, pp. 145-149, doi: 10.1109/ICUFN55119.2022.9829629.

[C22] N.-T. Do, V.-P. Hoang, and V. S. Doan, “Performance Analysis of Non-profiled Side Channel Attack Based on Multi-layer Perceptron Using Significant Hamming Weight Labeling,” in Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, Springer International Publishing, 2022, pp. 241–254.

[C21] T. Huynh-The, V.S. Doan, et al., "Densely-Accumulated Convolutional Network for Accurate LPI Radar Waveform Recognition," 2021 IEEE Global Communications Conference (GLOBECOM), Madrid, Spain, 2021, pp. 1-6, doi: 10.1109/GLOBECOM46510.2021.9685642.

[C20] H. Le, V.S. Doan, D.P. Le, T. Huynh-The, V.P. Hoang, "Micro-motion Target Classification Based on FMCW Radar Using Extended Residual Neural Network." In: Industrial Networks and Intelligent Systems. INISCOM 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 379. Springer, Cham. https://doi.org/10.1007/978-3-030-77424-0_9.

[C19] T. Huynh-The, C.H. Hua, V.S. Doan and D.S. Kim, "Accurate Modulation Classification with Reusable-Feature Convolutional Neural Network," 2020 IEEE Eighth International Conference on Communications and Electronics (ICCE), Phu Quoc Island, Vietnam, 2021, pp. 12-17, doi: 10.1109/ICCE48956.2021.9352042.

[C18] N.T. Do, V.P. Hoang, and V.S. Doan, “Performance Analysis of Non-Profiled Side-Channel Attacks Based on Convolutional Neural Networks,” in 2020 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS), Ha Long, Vietnam, December 8-10, 2020.

[C17] H. Le, V.S. Doan, D.P. Le, H.H. Nguyen, T. Huynh-The, K. Le-Ha, and V.P. Hoang, "Micro-Doppler-Radar-Based UAV Detection Using Inception-Residual Neural Network," in 2020 International Conference on Advanced Technologies for Communications (ATC), Nha Trang, Vietnam, 2020, pp. 177-181.

[C16] T. Huynh-The, C.H. Hua, V.S. Doan, Q.V. Pham, V.T. Nguyen, D.S. Kim, “Deep Learning for Constellation-based Modulation Classification under Multipath Fading Channels,” in The 11th international conference on ICT convergence, Oct. 21-23, 2020.

[C15] Rubina Akter, Van-Sang Doan, GodWin Brown Tunze, Jae-Min Lee, Dong-Seong Kim, “RF-Based UAV Surveillance System: A sequential Convolution Neural Networks Approach,” in The 11th international conference on ICT convergence, Oct. 21-23, 2020.

[C14] V.S. Doan, T. Huynh-The, C.H. Hua, Q.V. Pham, and D.S. Kim, “Learning Constellation Map with Deep CNN for Accurate Modulation Recognition,” In Globecom 2020, doi: arXiv:2009.02026.

[C13] T. Huynh-The, V.S. Doan, C.H. Hua, Q.V. Pham, and D.S. Kim, “Chain-Net: Learning Deep Model for Modulation Classification Under Synthetic Channel Impairment,” In: Globecom 2020, doi: arXiv:2009.02023.

[C12] V.S. Doan, T. Huynh-The, V.P. Hoang, and D.S. Kim, “Convolutional Neural Network-Based DOA Estimation Using Non-uniform Linear Array for Multipath Channels,” In: Vo NS., Hoang VP. (eds) Industrial Networks and Intelligent Systems. INISCOM 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 334. Springer, Cham, 2020. https://doi.org/10.1007/978-3-030-63083-6_4.

[C11] T.B. Le, J. Vesely, M. Popela, and S.V. Doan, "Range Measurement using Beam Coding Technique in Aircraft Landing System," in 2019 International Conference on Military Technologies (ICMT), Brno, Czech Republic, 2019, pp. 1-8. doi:10.1109/MILTECHS.2019.8870066.

[C10] V.S. Doan, C.T. Tran, V.D. Nguyen, “DOA Estimation of Underwater Acoustic Signals Using Non-uniform Linear Arrays.” In: Industrial Networks and Intelligent Systems. INISCOM 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, ISBN 978-3-030-05873-9, vol 257. Springer, Cham, 2019.

[C9] C.T. Tran, V.S. Doan, V.L. Nguyen, H.N. Nguyen, and T.H. Nguyen, “An Experimental Measurement of Simple Chip AD8302 Implemented in SONAR Interferometer”, In: 7th international conference on Integrated Circuit, Design, and Verification 2017 (ICDV 2017), IEEE, Ha noi, Vietnam, ISBN: 978-1-5386-3377-9.

[C8] X.L. Tran, J. Vesely, P. Hubacek, and V.S. Doan, “DOA Estimation with Different NLA Configurations”. In: The 18th International Radar Symposium IRS 2017. Prague, Czech Republic, 2017. ISBN 978-3-7369-9343-3.

[C7] X.L Tran, J. Vesely, V.S. Doan, and P. Hubacek, “UHF/C-band Testing of AOA Estimation Using MUSIC Algorithm”. In: Proceedings of the International Conference on New Trends in Signal Processing. Liptovský Mikuláš: IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2016, p. 91-96. ISSN 1339-1445.

[C6] V.S Doan, J. Vesely, P. Janu, P. Hubacek, and X.L. Tran, “Algorithm for Obtaining High Accurate Phase Interferometer”. In: Proceedings of the 26th International Conference RADIOELEKTRONIKA 2016. Košice, Slovensko: IEEE, 2016, p. 433-437. ISBN 978-1-5090-1673-0.

[C5] V.S. Doan, J. Vesely, P. Janu, P. Hubacek, and X.L. Tran, “Optimized Algorithm for Solving Phase Interferometer Ambiguity”. In: Proceeding of International Radar Symposium. Krakow, Poland: IEEE, 2016. ISBN 978-1-5090-2518-3.

[C4] X.L. Tran, J. Vesely, V.S. Doan, and P. Hubacek, “Estimation of Target Position from a Moving Passive System Using the Differential Doppler Method”. In: 17th Mechatronika 2016. Prague, Czech Republic: Czech Technical University in Prague, 2016, p. 428-432. ISBN 978-80-01-05882-4.

[C3] J. Vesely, and V.S. Doan, “Analytical Method Solving System of Hyperbolic Equations”. In: 25th International Conference Radioelektronika 2015. Pardubice, Czech Republic: IEEE, 2015, p. 343-348. ISBN 978-1-4799-8117-5.

[C2] V.S. Doan, J. Vesely, and P. Janu, “The Measurement of TDOA Short Baseline”. In: International Conference on Military Technologies 2015, ICMT 2015, Brno. Brno, Czech Republic: IEEE, 2015, p. 547-551. ISBN 978-80-7231-976-3.

[C1] V.S. Doan, and J. Vesely, “The Effectivity Comparison of TDOA Analytical Solution Methods”. In: International Radar Symposium IRS 2015, Proceeding Vo. II. Dresden, Germany: TUHH - DGON, 2015, p. 800-805. ISBN 978-3-95404-853-3.

Domestic Journal

[J10] Nguyen, B., Hoàng Văn Phúc, Đoàn Văn Sáng, Hoàng Xuân Tĩnh, và Trịnh Đình Linh. “Ứng dụng Mô hình học sâu CNN Và kỹ thuật lọc CFAR Cho nhận dạng Drone dựa Trên dấu vết tín hiệu Vô tuyến RF Trong điều kiện nhiễu”. Tạp Chí Nghiên cứu Khoa học Và Công nghệ quân sự, vol 96, số p.h 96, Tháng Sáu 2024, tr 30-40, doi:https://doi.org/10.54939/1859-1043.j.mst.96.2024.30-40.

[J9] Tran, Cong Trang, Xuan Sung Tran, Thi Huyen Le, and Doan Van Sang. "UNDERWATER ACOUSTIC SIGNAL RECOGNITION BASED ON COMBINATION OF MULTI-SCALE CONVOLUTIONAL NEURAL NETWORK AND CONSTANT-Q TRANSFORM." Journal of Science and Technique-Section on Information and Communication Technology 11.02 (2022).

[J8] Đoàn Văn Sáng, Vi Công Đoàn, Trần Phú Ninh, Nguyễn Văn Tiến, and Trần Công Tráng, “Improving the performance of underwater acoustic signal recognition using modified residual convolutional neural network”, Journal of Military Science and Technology, no. 81, pp. 53–59, Aug. 2022, doi: https://doi.org/10.54939/1859-1043.j.mst.81.2022.53-59.

[J7] Le, H.-K., V.-S. Doan, và V.-P. Hoang. “Ensemble of Convolution Neural Networks for Improving Automatic Modulation Classification Performance”. Tạp Chí Khoa học Và Công nghệ - Đại học Đà Nẵng, vol 20, số p.h 6.2, Tháng Sáu 2022, tr 25-32, doi:10.31130/ud-jst.2022.293E.

[J6] V. T. Hai, V. N. Le, D. Q. Khanh, N. P. Nam, and D. V. Sang, “Multi-size drone detection using YOLOv5 network,” Journal of Military Science and Technology, no. 80, pp. 142–148, Jun. 2022, doi: 10.54939/1859-1043.j.mst.80.2022.142-148.

[J5] Lê Hải, Hoàng Văn Phúc, Đoàn Văn Sáng, Lê Thị Trang, Lê Đại Phong, "Nhận dạng cử chỉ tay bằng ra đa FMCW dựa trên mạng nơ-ron tích chập kết nối chéo", Tạp chí Nghiên cứu Khoa học và Công nghệ Quân sự, số 75 (10/2021), ISSN-1859-1043, tr. 15-22.

[J4] Nguyễn Văn Linh, Đoàn Văn Sáng, Trần Công Tráng, Trần Văn Cường. “LPI Radar Signal Recognition Using Deep-Learning Neural Network”. The University of Danang - Journal of Science and Technology, vol. 19, no. 10, Oct. 2021, pp. 70-75, https://jst-ud.vn/jst-ud/article/view/7601.

[J3] Nguyễn Văn Trà, Đoàn Văn Sáng, Vũ Chí Thanh, Trần Công Tráng, "Đánh giá hiệu năng tự động phân loại mục tiêu radar của một số mạng nơ-ron hiện đại", Tạp chí Nghiên cứu Khoa học và Công nghệ Quân sự, Số Đặc San 8/2021,

[J2] Trần Công Tráng, Đoàn Văn Sáng, Nguyễn Thanh Hùng, Trần Văn Hùng, 2018, Ứng dụng thuật toán MUSIC nâng cao độ chính xác đo góc trong sonar thụ động, Tạp chí Nghiên cứu Khoa học và Công nghệ Quân sự, số 56, tháng 8/2018, tr. 105-114, ISSN 1859-1043.

[J1] Đoàn Văn Sáng, Trần Quý Dân, Trần Công Tráng, Trần Văn Hùng, Nguyễn Thanh Hùng, 2017, Khảo sát sai số định vị mục tiêu trong sonar thụ động sử dụng phương pháp tam giác, Tạp chí Nghiên cứu Khoa học và Công nghệ Quân sự số 51, (10/2017), ISSN-1859-1043, tr. 58-65.

Domestic Conference Proceeding

(C6) Nguyễn Ngọc Anh Tú, Đoàn Văn Sáng và Nguyễn Ngọc Đông, "Nâng cao độ chính xác phân loại mục tiêu thủy âm sử dụng phổ DEMON và mạng nơ ron tích chập", Hội nghị Quốc gia lần thứ 26 về Điện tử, Truyền thông và Công nghệ thông tin (REV-ECIT 2023), tr. 422-427, ISBN 978-604-80-8932-0 , Hà Nội, Việt Nam, 16/12/2023.

(C5) Đoàn Văn Sáng, Nguyễn Duy Thái, Hoàng Văn Phúc và Phạm Văn Chung, "THỰC NGHIỆM KIỂM CHỨNG VÀ ĐÁNH GIÁ CÁC PHƯƠNG PHÁP BEAMFORING, MVDR VÀ MUSIC ", Hội nghị Quốc gia lần thứ 26 về Điện tử, Truyền thông và Công nghệ thông tin (REV-ECIT 2023), tr. 441-445, ISBN 978-604-80-8932-0 , Hà Nội, Việt Nam, 16/12/2023.

(C4) Tạ Thị Kiều Lan, Lê Hà Khánh, Hoàng Văn Phúc và Đoàn Văn Sáng, "Nâng cao hiệu quả phân loại điều chế tự động sử dụng mạng CNN đa đầu vào", Hội nghị quốc gia lần thứ XXV về điện tử, truyền thông và công nghệ thông tin (REV-ECIT 2022), tr. 159-164, ISBN: 978-604-80-7468-5. Hanoi, Vietnam, 17/12/2022.

[C3] Lê Hà Khánh, Đoàn Văn Sáng, Hoàng Văn Phúc and Đào Thị Thủy, "Tự động nhận dạng điều chế dưới tác động của nhiễu pha-đinh đa đường sử dụng kỹ thuật học sâu", Hội nghị quốc gia lần thứ XXIV về điện tử, truyền thông và công nghệ thông tin (REV-ECIT 2021), 18/12/2021.

[C2] Đoàn Văn Sáng, Trần Công Tráng, Nguyễn Như Ý, "Định Hướng Nguồn Tín Hiệu Bằng Phương Pháp Đo Pha Với Đường Cơ Sở Dài Ứng Dụng Trong Lĩnh Vực Trinh Sát Điện Tử ", Hội nghị quốc gia lần thứ XXIV về điện tử, truyền thông và công nghệ thông tin (REV-ECIT 2021), 18/12/2021.

[C1] Doãn Văn Dự, Phạm Minh Nghĩa, Đoàn Văn Sáng, Nguyễn Ngọc Bình, “Ước lượng độ cao rừng sử dụng ảnh PolInSar dựa trên tối ưu vùng kết hợp và mạng nơ-ron học sâu,” Hội nghị quốc gia lần thứ XXIII về điện tử, truyền thông và công nghệ thông tin (REV-ECIT 2020), 19/12/2020.