IEEE journal of radio frequency identification最新文献_第8页

Automated Current Monitoring for Microchannel Plates on Fast Plasma Investigation 快速等离子体研究中微通道板的自动电流监测

IEEE journal of radio frequency identification Pub Date : 2024-03-08 DOI: 10.1109/JRFID.2024.3398443

Joseph Patton;Alexander C. Barrie;Stewart Doe;Daniel Gershman;Levon Avanov;Ali Abedi

引用次数: 0

A Wireless Motion Sensor Operating Down to −28-dBm Energy Harvesting 工作频率低至 -28 分贝的能量收集无线运动传感器

IEEE journal of radio frequency identification Pub Date : 2024-03-07 DOI: 10.1109/JRFID.2024.3374648

Yero Dia;Helena Ribeiro;Laurent Oyhenart;Elie Zaraket;Ludivine Fadel;Valerie Vigneras;Corinne Dejous;Nuno Carvalho;Simon Hemour

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Co-Location of PV Panel With Meshed Antenna Array for Inter-Satellite Energy Transmission 光伏电池板与网状天线阵列共址用于卫星间能量传输

IEEE journal of radio frequency identification Pub Date : 2024-03-06 DOI: 10.1109/JRFID.2024.3397575

A. Baris Gok;Diego Masotti;Alessandra Costanzo

{"title":"Co-Location of PV Panel With Meshed Antenna Array for Inter-Satellite Energy Transmission","authors":"A. Baris Gok;Diego Masotti;Alessandra Costanzo","doi":"10.1109/JRFID.2024.3397575","DOIUrl":"https://doi.org/10.1109/JRFID.2024.3397575","url":null,"abstract":"This paper investigates the design and fabrication, by additive manufacturing, of optically transparent meshed patch antenna arrays atop photovoltaic (PV) panels. This integration is foreseen to be exploited in space by small satellites to enable wireless power transfer among them, while maintaining optimal solar power production, with no need for extra areas for the antenna subsystems. The proposed antenna arrays utilize a novel approach, where horizontal conductive strips of a meshed metallization are removed, to enhance transparency without compromising antenna performance. Two arrays are designed at 2.45 GHz and 5.8 GHz, and the associated design choices and issues are discussed. The antenna metallizations make use of vertical strips only with a line spacing of \u0000<inline-formula> <tex-math>$0.04boldsymbol {lambda }$ </tex-math></inline-formula>\u0000, found to be the best compromise to ensure maximal transparency and antenna performance, using low-cost printing technique on 110 mm \u0000<inline-formula> <tex-math>$times $ </tex-math></inline-formula>\u0000 110 mm borosilicate glass. Simulations and experiments show that the underlying PV metallization patterns have a significant impact on the antenna radiation properties at the highest operating frequency of 5.8 GHz. In this case, a degradation of the antenna gain compared to the predictions is observed. Through a reverse-engineering method, this effect is modeled by the effective electromagnetic characteristics of the glass substrate, rather than by accounting for the pattern layout-wise. It is demonstrated that this choice enables an efficient yet accurate full-wave simulation of the entire system, suggesting the necessity for a co-design of the PV panel and the antenna to facilitate an accurate representation of the entire system and its current radiating characteristics.","PeriodicalId":73291,"journal":{"name":"IEEE journal of radio frequency identification","volume":"8 ","pages":"516-525"},"PeriodicalIF":0.0,"publicationDate":"2024-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141334048","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

Experimental Evaluation of a Cognitive Routing Strategy for Efficient Energy Management in DTN 针对 DTN 高效能源管理的认知路由策略的实验评估

IEEE journal of radio frequency identification Pub Date : 2024-03-06 DOI: 10.1109/JRFID.2024.3397582

Ricardo Lent

{"title":"Experimental Evaluation of a Cognitive Routing Strategy for Efficient Energy Management in DTN","authors":"Ricardo Lent","doi":"10.1109/JRFID.2024.3397582","DOIUrl":"https://doi.org/10.1109/JRFID.2024.3397582","url":null,"abstract":"This study conducts an experimental evaluation of a decentralized cognitive routing approach to improve the performance of Delay Tolerant Networks (DTNs) in challenging environments, particularly in space. The primary goal is to minimize latency while concurrently extending the operational lifetimes of nodes by strategically avoiding bundle transmission through low-charged relay nodes. The approach addresses multi-objective routing through a reinforcement learning formulation that considers either the delay or path length to the destination, jointly with the residual energy levels of nodes along the transmission path. It also defines suitable networking mechanisms to obtain accurate estimates of delay-energy metrics associated with node contacts. The paper provides details of the implementation strategy for the High-Rate Delay Tolerant Networking (HDTN) framework and the design of a battery emulation system that provides precise control over experimental conditions, ensuring test reproducibility. The results demonstrate significant reductions in bundle losses and extended network lifetimes while maintaining either delay or path lengths within reasonable bounds compared to what can be achieved with the current routing standard. The proposed approach holds the promise of significantly improving the reliability of DTN communications in space.","PeriodicalId":73291,"journal":{"name":"IEEE journal of radio frequency identification","volume":"8 ","pages":"506-515"},"PeriodicalIF":0.0,"publicationDate":"2024-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141333981","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

Lens Antenna Design Tool Based on Generalized Superformula 基于广义超公式的透镜天线设计工具

IEEE journal of radio frequency identification Pub Date : 2024-03-02 DOI: 10.1109/JRFID.2024.3396333

Alberto Facchini;Francesco Paolo Chietera;Riccardo Colella;Luca Catarinucci;Pietro Bia;Luciano Mescia

{"title":"Lens Antenna Design Tool Based on Generalized Superformula","authors":"Alberto Facchini;Francesco Paolo Chietera;Riccardo Colella;Luca Catarinucci;Pietro Bia;Luciano Mescia","doi":"10.1109/JRFID.2024.3396333","DOIUrl":"https://doi.org/10.1109/JRFID.2024.3396333","url":null,"abstract":"In this work, the design of a novel class of 3D dielectric lens antennas through the use of a lab-made electromagnetic tool is presented. The lens antenna is modeled using a generalized superformula allowing additional degree of freedom which can be exploited to obtain complex lens shapes with flat surface regions, steep sides, a non-rotational symmetry, or a modulated and aspherical surface profile. Thanks to the free parameters characterizing this formula, the lens geometry can be adjusted in a simple and analytical way. The electromagnetic tool is based on the geometrical optics and tube tracing approximations as well as the physical optics approach. In this way, the multiple wave reflections within the lens region as well as the far field outside the lens can be calculated. Moreover, an efficient synthesis procedure based on swarm intelligence has been developed and integrated in the numerical code. Thanks to this design tool it is possible to identify the lens parameters yielding the optimal antenna characteristic and a desired radiation patterns with low computational burden.","PeriodicalId":73291,"journal":{"name":"IEEE journal of radio frequency identification","volume":"8 ","pages":"476-483"},"PeriodicalIF":0.0,"publicationDate":"2024-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10517938","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141308677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Secrecy Performance of Energy-Harvesting Backscatter Communication Network Under Different Tag Selection Schemes 不同标签选择方案下能量收集反向散射通信网络的保密性能

IEEE journal of radio frequency identification Pub Date : 2024-02-29 DOI: 10.1109/JRFID.2024.3371877

Yasin Khan;Aaqib Afzal;Ankit Dubey;Alok Saxena

引用次数: 0

Adaptive Multi-Task Learning for Multi-PAR in Real World 针对真实世界中多 PAR 的自适应多任务学习

IEEE journal of radio frequency identification Pub Date : 2024-02-29 DOI: 10.1109/JRFID.2024.3371881

Haoyun Sun;Hongwei Zhao;Weishan Zhang;Liang Xu;Hongqing Guan

{"title":"Adaptive Multi-Task Learning for Multi-PAR in Real World","authors":"Haoyun Sun;Hongwei Zhao;Weishan Zhang;Liang Xu;Hongqing Guan","doi":"10.1109/JRFID.2024.3371881","DOIUrl":"https://doi.org/10.1109/JRFID.2024.3371881","url":null,"abstract":"Multi-pedestrian attribute recognition (Multi-PAR) is a vital task for smart city surveillance applications, which requires identifying various attributes of multiple pedestrians in a single image. However, most existing methods are limited by the complex backgrounds and the time-consuming pedestrian detection preprocessing work in real-world scenarios, and cannot achieve satisfactory accuracy and efficiency. In this paper, we present a novel end-to-end solution, named Adaptive Multi-Task Network (AMTN), which jointly performs multiple tasks and leverages an adaptive feature re-extraction (AFRE) module to optimize them. Specially, We integrate pedestrian detection into AMTN to perform PAR preprocessing, and incorporate a person re-identification (ReID) task branch to track pedestrians in video streams, thereby selecting the clearest video frames for analysis instead of every video frame to improve analysis efficiency and recognition accuracy. Moreover, we design a dynamic weight fitting loss (DWFL) function to prevent gradient explosions and balance tasks during training. We conduct extensive experiments to evaluate the accuracy and efficiency of our approach, and compare it with the state-of-the-art methods. The experimental results demonstrate that our method outperforms other state-of-the-art algorithms, achieving 1.5%-4.9% improvement in accuracy on Multi-PAR. The experiments also show that the AMTN can greatly improve the efficiency of preprocessing by saving the computation of feature extraction through basic features sharing. Compared with the state-of-the-art detection algorithm Yolov5s, it can improve the efficiency by 42%.","PeriodicalId":73291,"journal":{"name":"IEEE journal of radio frequency identification","volume":"8 ","pages":"357-366"},"PeriodicalIF":0.0,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140924704","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

Advanced RFID-Robot With Rotating Antennas for Smart Inventory in High-Density Shelving Systems 带旋转天线的先进 RFID 机器人，用于高密度货架系统的智能盘点

IEEE journal of radio frequency identification Pub Date : 2024-02-23 DOI: 10.1109/JRFID.2024.3369470

Andrea Motroni;Salvatore D’Avella;Alice Buffi;Paolo Tripicchio;Matteo Unetti;Glauco Cecchi;Paolo Nepa

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Mitigation of Metal Body Proximity Effect in Magnetically Coupled HF RFID Systems 缓解磁耦合高频射频识别系统中的金属体接近效应

IEEE journal of radio frequency identification Pub Date : 2024-02-22 DOI: 10.1109/JRFID.2024.3368882

Somnath Mukherjee;Debidas Kundu;Ashis Khan

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Multi-Class Road Target Detection Based on Multi-Gradient Flow Residual Structure 基于多梯度流残差结构的多类道路目标检测

IEEE journal of radio frequency identification Pub Date : 2024-02-21 DOI: 10.1109/JRFID.2024.3368226

Leilei Xie;Zheng Li;Fenghua Zhu

{"title":"Multi-Class Road Target Detection Based on Multi-Gradient Flow Residual Structure","authors":"Leilei Xie;Zheng Li;Fenghua Zhu","doi":"10.1109/JRFID.2024.3368226","DOIUrl":"https://doi.org/10.1109/JRFID.2024.3368226","url":null,"abstract":"Aiming at the problem of false and missed detection due to the varied and dense target scale changes, the presence of occlusion, and insufficient light in the target detection task of complex road scenes for self-driving vehicles, an improved model YOLOv8-AUT based on YOLOv8 complex road target detection is proposed. Firstly, the MFR module is designed based on the multi-gradient flow residual structure of the attention mechanism, and the parallel gradient flow branches are added to the module to enrich the gradient flow of the model, so as to enhance the ability to extract the detailed information, and to improve the omission and misdetection of the small targets on the road. Secondly, the spatial pyramid network structure is improved using full-dimensional dynamic convolution to increase the sensory field of the model and improve the model’s ability to detect targets of different scales in complex backgrounds. Finally, the soft-NMS suppression algorithm is introduced to solve the problem of severe target leakage detection in obstacle-target dense regions. The experimental data show that on the BDD100K dataset, the improved algorithm improves the average accuracy mean by 7.7% compared with the original algorithm, mAP@0.5:0.9 by 5.7%, which proves that YOLOv8-AUT can better satisfy the demand for target detection in complex road scenarios of autonomous driving.","PeriodicalId":73291,"journal":{"name":"IEEE journal of radio frequency identification","volume":"8 ","pages":"348-356"},"PeriodicalIF":0.0,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140924705","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