2022 International Conference on Advanced Technologies for Communications (ATC)最新文献_第3页

Real-Time Medical Radar-based Vital Sign Monitoring System Implemented with Signal Quality Classification Algorithm 基于信号质量分类算法的实时医疗雷达生命体征监测系统

2022 International Conference on Advanced Technologies for Communications (ATC) Pub Date : 2022-10-20 DOI: 10.1109/ATC55345.2022.9943036

H. Yen, Van‐Phuc Hoang, Nguyen Huu Son, Quang Kien Trinh, X. Tran, K. Ishibashi, G. Sun

{"title":"Real-Time Medical Radar-based Vital Sign Monitoring System Implemented with Signal Quality Classification Algorithm","authors":"H. Yen, Van‐Phuc Hoang, Nguyen Huu Son, Quang Kien Trinh, X. Tran, K. Ishibashi, G. Sun","doi":"10.1109/ATC55345.2022.9943036","DOIUrl":"https://doi.org/10.1109/ATC55345.2022.9943036","url":null,"abstract":"Owing to the Covid-19 epidemic, medical radar has become a potential non-contact method in patient monitoring. However, this radar type is sensitive to external interference. The output signal obtained by the radar when a patient makes random body movements can significantly reduce the accuracy of vital sign detection algorithms. In addition, algorithms should be developed for actual application. In this study, we present an improved model of the 24-GHz radar signal quality classification system and a technique to enhance the resolution of respiration rate (RR) and heart rate (HR) for short time interval signals. Moreover, a complete system including signal quality assessment and vital signs extraction is implemented in real time on the Lab-VIEW software. The signal quality classification was evaluated on the measured signals of 10 healthy subjects. Accordingly, the obtained results indicate that with specific features, the accuracy of signal quality classification reaches 89.8%-100% while real-time RR and HR extraction results demonstrate significant agreement between radar measurement and the contact-type sensor.","PeriodicalId":135827,"journal":{"name":"2022 International Conference on Advanced Technologies for Communications (ATC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122904337","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-task Deep-Learning Vehicle Detection and Tracking based on Aerial Views from UAV 基于无人机鸟瞰图的多任务深度学习车辆检测与跟踪

2022 International Conference on Advanced Technologies for Communications (ATC) Pub Date : 2022-10-20 DOI: 10.1109/ATC55345.2022.9942962

Cong Phuc Nguyen, V. Nguyen, Duc Dung Tran, A. Nguyen, N. P. Dao, D. Tran, Joo-Ho Lee, Anh Quang Nguyen

{"title":"Multi-task Deep-Learning Vehicle Detection and Tracking based on Aerial Views from UAV","authors":"Cong Phuc Nguyen, V. Nguyen, Duc Dung Tran, A. Nguyen, N. P. Dao, D. Tran, Joo-Ho Lee, Anh Quang Nguyen","doi":"10.1109/ATC55345.2022.9942962","DOIUrl":"https://doi.org/10.1109/ATC55345.2022.9942962","url":null,"abstract":"For vehicle management systems, vehicle detection, tracking, and recognition which provides statistical information on the number of vehicles and their characters are essential task, however, not only the vehicles themselves but also its characteristic such as types, and colors,.. is important for management. Besides, not only fixed traffic cameras, autonomous UAVs with cameras also can bring more flexibility and extend the management areas from an aerial view. In this paper, we propose and implement a real-time multi-task deep-learning for four-wheel vehicle detection, classification, and tracking system on UAVs. A dataset for detection and multi-task classification including multiple colors and types is built. To archive real-time the operation, we used the ByteTrack algorithm with YOLOv5, which is more efficient for mobile and embedded vision applications. Experimental results achieved high accuracy, more than 90% in multi-task classifying, and 56.21 HOTA tracking evaluation metrics on our created test set. The processing time is fast enough for real-time operation, 14 FPS for the detector, and 64 FPS for classification based on an embedded computer, Jetson Nano.","PeriodicalId":135827,"journal":{"name":"2022 International Conference on Advanced Technologies for Communications (ATC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121381116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Blind Symbol Rate Estimation Using Wavelet Transform and Deep Learning for FSK Modulated Signals 基于小波变换和深度学习的FSK调制信号盲码率估计

2022 International Conference on Advanced Technologies for Communications (ATC) Pub Date : 2022-10-20 DOI: 10.1109/ATC55345.2022.9943051

Inna Valieva, I. Voitenko, M. Björkman, J. Åkerberg, Mikael Ekström

{"title":"Blind Symbol Rate Estimation Using Wavelet Transform and Deep Learning for FSK Modulated Signals","authors":"Inna Valieva, I. Voitenko, M. Björkman, J. Åkerberg, Mikael Ekström","doi":"10.1109/ATC55345.2022.9943051","DOIUrl":"https://doi.org/10.1109/ATC55345.2022.9943051","url":null,"abstract":"This paper is focused on the blind symbol rate estimation for the digital FSK modulated signals, based on the classification between three symbol rate classes: 10, 100, and 1000 KSymbol/second using the scalogram images obtained from continuous wavelet transform with Morse wavelet. Pretrained deep learning AlexNet has been transfer learned to classify between symbol rate classes. Training, testing, and validation data sets have been composed of the artificial data generated using Bernoulli binary random signal generator modulated into FSK signal corrupted by additive white Gaussian noise (AWGN) noise with SNR ranging from 1 to 30 dB. Training and validation data sets have been augmented to obtain twice more extensive data set i.e 1800 scalogram images, compared to the original size of 900 samples. The average classification accuracy during validation has reached 99.7 % and during testing 100 % and 96.3 % for the data sets with SNR 25–30 dB and 20–25 dB respectively. The proposed algorithm has been compared with cyclostationary and has shown improved classification accuracy, especially in conditions of low SNR.","PeriodicalId":135827,"journal":{"name":"2022 International Conference on Advanced Technologies for Communications (ATC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126998204","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Physical Layer Security for UAV-Based Full-Duplex Relay NOMA System 基于无人机的全双工中继NOMA系统的物理层安全

2022 International Conference on Advanced Technologies for Communications (ATC) Pub Date : 2022-10-20 DOI: 10.1109/ATC55345.2022.9943050

Thanh Trung Nguyen, V. T. Hoang, T. T. Huyen Le, X. Tran

{"title":"Physical Layer Security for UAV-Based Full-Duplex Relay NOMA System","authors":"Thanh Trung Nguyen, V. T. Hoang, T. T. Huyen Le, X. Tran","doi":"10.1109/ATC55345.2022.9943050","DOIUrl":"https://doi.org/10.1109/ATC55345.2022.9943050","url":null,"abstract":"In this paper, we investigate the secrecy performance of an unmanned aerial vehicle (UAV)-based full-duplex (FD) relay non-orthogonal multiple access (NOMA) system over the Nakagami-m fading channel. A mobile UAV acts as an aerial relay station (ARS) to assist transmission from a source (S) to two users (D1, D2), in the presence of a ground internal eavesdropper (E). To ensure secure communication at users, we propose to insert an artificial noise (AN) component into the transmit signal at the full-duplex ARS (FD-ARS) with power allocated using the NOMA protocol. We analyze the secrecy outage performance of the system and the users and obtain the approximate secrecy outage probability (SOP) in various propagation environments, i.e., the dense urban, urban and suburban environments. It is demonstrated that using AN allows the users to achieve the secrecy over the signal-to-noise ratio. Also, the system achieves the best secrecy performance when the FD-ARS is closer to the further user while losing the secrecy when closer to the source. The FD-ARS system is shown to achieve better secrecy performance than the respective half-duplex (HD) ARS system.","PeriodicalId":135827,"journal":{"name":"2022 International Conference on Advanced Technologies for Communications (ATC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132455381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Low-Complexity Large-Scale MIMO Detector with 16-Ary QAM Superposition Constellations 低复杂度大尺度MIMO 16-Ary QAM叠加星座探测器

2022 International Conference on Advanced Technologies for Communications (ATC) Pub Date : 2022-10-20 DOI: 10.1109/ATC55345.2022.9943015

Duc A. Hoang, T. Nguyen, T. L. Nhat, Hieu T. Nguyen

{"title":"Low-Complexity Large-Scale MIMO Detector with 16-Ary QAM Superposition Constellations","authors":"Duc A. Hoang, T. Nguyen, T. L. Nhat, Hieu T. Nguyen","doi":"10.1109/ATC55345.2022.9943015","DOIUrl":"https://doi.org/10.1109/ATC55345.2022.9943015","url":null,"abstract":"To achieve higher bandwidth efficiency in wireless communication systems where the available frequency band is strictly limited, high-order modulation schemes are widely chosen as a promising solution to meet the band-efficiency requirement. This paper proposes two low-complexity signal detection architectures using superposition mapping and decomposition techniques at the modulator. The first signal detection, a so-called one-step detector, enjoys the low complexity level of the Tanner-graph-based detection algorithm, which is in the second order of the product of the modulation order and the number of transmit antennas. To further reduce the complexity level for the detector by 50%, a two-step belief propagation detector is proposed where interference of the stronger bit index is partially canceled when recovering the weaker bit index. As a result, the novel proposed two-step detector performs nearly as well as the one-step detection architecture when a massive number of antennas are employed at the receiver side while offering complexity reduction. This attribute of the proposed two-step large-scale multiple-input multiple-output (LS-MIMO) detector is significantly critical for 5G and beyond, where a massive/large-scale number of antennas should be employed to meet the growing demand for high-speed wireless access.","PeriodicalId":135827,"journal":{"name":"2022 International Conference on Advanced Technologies for Communications (ATC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115392062","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Build Full Model for Production Data Monitoring and Managing using IoT Technology 使用物联网技术构建生产数据监控和管理的完整模型

2022 International Conference on Advanced Technologies for Communications (ATC) Pub Date : 2022-10-20 DOI: 10.1109/ATC55345.2022.9943008

V. B. Nguyen, Van-An Vo, Thi Thuy Nga Le, Van Son Nguyen

引用次数: 0

Design of a Reliable Low Latency Industrial Wireless LAN System 一个可靠的低延迟工业无线局域网系统的设计

2022 International Conference on Advanced Technologies for Communications (ATC) Pub Date : 2022-10-20 DOI: 10.1109/ATC55345.2022.9943025

T. T. T. Nguyen, Nguyen Viet Ha, H. Ochi

引用次数: 0

Design of Compact and Wide-Band Antennas 小型宽频带天线的设计

2022 International Conference on Advanced Technologies for Communications (ATC) Pub Date : 2022-10-20 DOI: 10.1109/atc55345.2022.9943017

Z. Shen

引用次数: 0

Incremental Cooperation Based Multi-hop Relaying Scheme With Fountain Codes, Wirelessly Energy Harvesting and Partial Relay Selection 基于喷泉码、无线能量收集和部分中继选择的增量合作多跳中继方案

2022 International Conference on Advanced Technologies for Communications (ATC) Pub Date : 2022-10-20 DOI: 10.1109/ATC55345.2022.9943044

Nguyen Trong Huan, Tran Trung Duy, L. Tu, N. Q. Sang, Quang Hien Ta, P. Tuan

引用次数: 2

Residual Transceiver Hardware Impairment and Imperfect Interference Cancellation With Two Way-enabled RIS Systems 双路RIS系统的剩余收发器硬件损伤和不完美干扰消除

2022 International Conference on Advanced Technologies for Communications (ATC) Pub Date : 2022-10-20 DOI: 10.1109/ATC55345.2022.9943035

S. Q. Nguyen, Thai-Hoc Vu, Sunghwan Kim

引用次数: 0