IEEE journal of radio frequency identification最新文献_第7页

RFID-Based Reconfigurable Electromagnetic Devices 基于 RFID 的可重构电磁设备

IEEE journal of radio frequency identification Pub Date : 2024-04-17 DOI: 10.1109/JRFID.2024.3390624

Francesco Lestini;Gaetano Marrocco;Cecilia Occhiuzzi

{"title":"RFID-Based Reconfigurable Electromagnetic Devices","authors":"Francesco Lestini;Gaetano Marrocco;Cecilia Occhiuzzi","doi":"10.1109/JRFID.2024.3390624","DOIUrl":"https://doi.org/10.1109/JRFID.2024.3390624","url":null,"abstract":"Modern wireless communication systems are becoming increasingly necessary, emphasizing the need for electromagnetic devices that can flexibly operate under different conditions, e.g., under power constraints or in hostile environments where scattering objects randomly modify coverage areas and communication links. Due to their ability to dynamically change operating frequency, radiation pattern, bandwidth characteristics, and polarization, reconfigurable objects (especially antennas and backscattering surfaces) have received significant attention in this context. Electromagnetic features can be electronically selected by controlling the bias voltage of tunable elements adequately integrated into the layout. Usually, this is done by employing external programmable controllers that need power sources and wired connections, leading to unusable configurations for several scenarios. Thus, exploring alternative electronic tuning mechanisms becomes essential. This paper proposes RFID-Based Reconfigurable Electromagnetic Devices as a wireless, cost-effective, and low-power solution. The system’s operating principle, potential architectures, and applicability in practical scenarios are presented. Theoretical and experimental analysis validate the proposed architecture, whose capabilities are finally demonstrated by prototyping and testing two reconfigurable antenna arrays.","PeriodicalId":73291,"journal":{"name":"IEEE journal of radio frequency identification","volume":"8 ","pages":"226-234"},"PeriodicalIF":0.0,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140902543","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

Directional Energy-Efficient Metasurface-Backed RFID Reader Antenna for Minimizing Tag-Detection Uncertainty in IoT Networks 用于最小化物联网网络中标签检测不确定性的定向高能效 Metasurface-Backed RFID 阅读器天线

IEEE journal of radio frequency identification Pub Date : 2024-04-16 DOI: 10.1109/JRFID.2024.3389737

Chandni Bajaj;Dharmendra Kumar Upadhyay;Sachin Kumar;Binod Kumar Kanaujia

{"title":"Directional Energy-Efficient Metasurface-Backed RFID Reader Antenna for Minimizing Tag-Detection Uncertainty in IoT Networks","authors":"Chandni Bajaj;Dharmendra Kumar Upadhyay;Sachin Kumar;Binod Kumar Kanaujia","doi":"10.1109/JRFID.2024.3389737","DOIUrl":"https://doi.org/10.1109/JRFID.2024.3389737","url":null,"abstract":"In this paper, a 2.45/5.8 GHz circularly polarized RFID antenna backed with a dual-band artificial magnetic conductor (AMC) is presented for tagged-object detection in Internet of things (IoT) networks. RFID systems require a long-range reader to maintain energy-efficient communication with the tagged devices. An efficient reader antenna is presented to increase the interrogation distance of the reader, and decreasing the uncertainty of tagged-object detection. The proposed RFID antenna consists of two dipole pairs, are printed on both sides of the substrate to obtain 2.45 GHz and 5.8 GHz bands, connected by feed delay lines in a cross-dipole arrangement. To increase the range of the reader, the cross-dipole antenna is supported by a \u0000<inline-formula> <tex-math>$5times5$ </tex-math></inline-formula>\u0000 AMC surface placed \u0000<inline-formula> <tex-math>$0.042{lambda }_{0}$ </tex-math></inline-formula>\u0000 beneath the antenna, where \u0000<inline-formula> <tex-math>${lambda }_{0}$ </tex-math></inline-formula>\u0000 is the wavelength calculated at the lowest resonant frequency. In measurement, the metasurface backing results in gain enhancements of 4.1 dBi in the 2.45 GHz band and 4.6 dBi in the 5.8 GHz band, which improves the read range of the reader. The measurement also shows an improvement in RFID band coverage in terms of impedance bandwidth, 2.32–2.57 GHz in the 2.45 GHz band and 5.48-6 GHz in the 5.8 GHz band, reducing tag-detection error. The axial ratio bandwidth of the reader antenna configuration is 2.385–2.485 GHz and 5.77–5.88 GHz in the 2.45 GHz and 5.8 GHz bands, respectively.","PeriodicalId":73291,"journal":{"name":"IEEE journal of radio frequency identification","volume":"8 ","pages":"88-97"},"PeriodicalIF":0.0,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140826058","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

Joint Design of Self-Tuning UHF RFID Antenna and Microfluidic Channel for Liquid Sensing 用于液体传感的自调谐超高频 RFID 天线和微流控通道的联合设计

IEEE journal of radio frequency identification Pub Date : 2024-04-16 DOI: 10.1109/JRFID.2024.3389870

Giulio Maria Bianco;Gaetano Marrocco

{"title":"Joint Design of Self-Tuning UHF RFID Antenna and Microfluidic Channel for Liquid Sensing","authors":"Giulio Maria Bianco;Gaetano Marrocco","doi":"10.1109/JRFID.2024.3389870","DOIUrl":"10.1109/JRFID.2024.3389870","url":null,"abstract":"Microfluidic has been an enabling technology for over a decade, particularly in the field of medical and wearable devices, allowing for the manipulation of small amounts of fluid in confined spaces. Micro-channels can also be used for wireless sensing thanks to the variations in antenna properties when the fluid flows near it. However, up to now, microfluidic channels and sensing antennas have always been designed separately; instead, since the liquid flow and the antenna geometry both contribute to the overall performance, they should be considered simultaneously when optimizing the antenna-microfluidic system. In this paper, the joint design of the antenna and microfluidic channels is investigated for liquid quantification. Self-tuning RFID microchips are exploited to minimize communication degradation due to the increase of lossy liquid amount over the sensing antenna while digitalizing the impedance mismatch itself. To experimentally corroborate the joint design technique, two different geometries are obtained and prototyped starting from a given antenna-microfluidic layout by setting different goals for an optimization function. The two flexible RFID prototypes returned performance in agreement with the simulated ones, achieving a maximum sensitivity of about 20 units of the digital metric per milligram increase of water.","PeriodicalId":73291,"journal":{"name":"IEEE journal of radio frequency identification","volume":"8 ","pages":"58-67"},"PeriodicalIF":0.0,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140711499","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

MSSINet: Real-Time Segmentation Based on Multi-Scale Strip Integration MSSINet：基于多尺度条带集成的实时分段技术

IEEE journal of radio frequency identification Pub Date : 2024-04-16 DOI: 10.1109/JRFID.2024.3389088

Lin Wang;Fenghua Zhu;Hui Zhang;Gang Xiong;Yunhu Huang;Dewang Chen

{"title":"MSSINet: Real-Time Segmentation Based on Multi-Scale Strip Integration","authors":"Lin Wang;Fenghua Zhu;Hui Zhang;Gang Xiong;Yunhu Huang;Dewang Chen","doi":"10.1109/JRFID.2024.3389088","DOIUrl":"https://doi.org/10.1109/JRFID.2024.3389088","url":null,"abstract":"Semantic segmentation plays a fundamental role in computer vision, underpinning applications such as autonomous driving and scene analysis. Although dual-branch networks have marked advancements in accuracy and processing speed, they falter in the context extraction phase within the low-resolution branch. Traditionally, square pooling is used at this juncture, leading to the oversight of stripe-shaped contextual information. In response, we introduce a novel architecture based on a deep aggregation pyramid, engineered for both real-time processing and precise segmentation. Central to our approach is a pioneering contextual information extractor designed to expand the effective receptive fields and fuse multi-scale context from low-resolution feature maps. Additionally, we have developed a feature fusion module to enhance the integration and differentiation of high-level semantic information across branches. To further refine the fidelity of segmentation, we implement dual deep supervisions within the high-resolution branchs intermediate layer, concentrating on boundary delineation and global features to enrich spatial detail capture. Our comprehensive experimental analysis, conducted on the Cityscapes and CamVid datasets, affirms MSSINets superior performance, showcasing its competitiveness against existing leading methodologies across a variety of scenarios.","PeriodicalId":73291,"journal":{"name":"IEEE journal of radio frequency identification","volume":"8 ","pages":"241-251"},"PeriodicalIF":0.0,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140906889","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

TagSense: Robust Wheat Moisture and Temperature Sensing Using RFID TagSense：使用 RFID 进行可靠的小麦湿度和温度传感

IEEE journal of radio frequency identification Pub Date : 2024-04-16 DOI: 10.1109/JRFID.2024.3389868

Erbo Shen;Weidong Yang;Xuyu Wang;Bo Kang;Shiwen Mao

引用次数: 0

Digital Twin Models: Functions, Challenges, and Industry Applications 数字孪生模型：功能、挑战和行业应用

IEEE journal of radio frequency identification Pub Date : 2024-04-12 DOI: 10.1109/JRFID.2024.3387996

Rakiba Rayhana;Ling Bai;Gaozhi Xiao;Min Liao;Zheng Liu

引用次数: 0

Small Object Recognition Algorithm Based on Hybrid Control and Feature Fusion 基于混合控制和特征融合的小物体识别算法

IEEE journal of radio frequency identification Pub Date : 2024-04-03 DOI: 10.1109/JRFID.2024.3384483

Gaofeng Zhu;Zhixue Wang;Fenghua Zhu;Gang Xiong;Zheng Li

{"title":"Small Object Recognition Algorithm Based on Hybrid Control and Feature Fusion","authors":"Gaofeng Zhu;Zhixue Wang;Fenghua Zhu;Gang Xiong;Zheng Li","doi":"10.1109/JRFID.2024.3384483","DOIUrl":"https://doi.org/10.1109/JRFID.2024.3384483","url":null,"abstract":"Drone detection plays a key role in various fields, but from the perspective of drones, factors such as the size of the target, interference from different backgrounds, and lighting affect the detection effect, which can easily lead to missed detections and false detections. To address this problem, this paper proposes a small target detection algorithm. First, the hybrid control of attention mechanism and a convolutional module (HCAC) are used to effectively extract contextual details of targets of different scales, directions, and shapes, while relative position encoding is used to associate targets with position information. Secondly, in view of the small size characteristics of small targets, a high-resolution detection branch is introduced, the large target detection head and its redundant network layers are pruned, and a multi-level weighted feature fusion network (MWFN) is used for multi-dimensional fusion. Finally, the WIoU loss is used as a bounding box regression loss, combined with a dynamic non-monotonic focusing mechanism, to evaluate the quality of anchor boxes so that the detector can handle anchor boxes of different qualities, thus improving the overall performance. Experiments were conducted on the UAV aerial photography data set VisDrone2019. The results showed that the accuracy of P increased by 9.0% and MAP by 9.8%, with higher detection results.","PeriodicalId":73291,"journal":{"name":"IEEE journal of radio frequency identification","volume":"8 ","pages":"484-492"},"PeriodicalIF":0.0,"publicationDate":"2024-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141315249","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

Automated Optimization of Electronic Mode Stirring for Enhanced Backscatter Link Margin in Reverberant Cavities 自动优化电子模式搅拌以增强混响腔中的反向散射链路裕度

IEEE journal of radio frequency identification Pub Date : 2024-04-02 DOI: 10.1109/JRFID.2024.3382687

Austin L. Oursland;Oleg Ianchenko;Sara M. Reyes;Ryan Douglas;Theodore J. Moody;Madeleine Lee;Matthew S. Reynolds

{"title":"Automated Optimization of Electronic Mode Stirring for Enhanced Backscatter Link Margin in Reverberant Cavities","authors":"Austin L. Oursland;Oleg Ianchenko;Sara M. Reyes;Ryan Douglas;Theodore J. Moody;Madeleine Lee;Matthew S. Reynolds","doi":"10.1109/JRFID.2024.3382687","DOIUrl":"https://doi.org/10.1109/JRFID.2024.3382687","url":null,"abstract":"In this paper, we present a series of experiments with a 2.4 GHz dual-polarized electronic mode stirring system for mitigating the dense multipath observed in biomedical telemetry within metal animal cages, including automated control over the mode stirring configuration. Four dual-polarized mode stirring antennas establish eight bits of digital control over the mode structure in a 0.2 m3 metal cage volume. With an optimized mode stirring configuration, we observe 26 dB improvement in the worst case one-way path loss across the 2400–2483 MHz band at 2,124 surveyed locations, sampled with a 1 cm grid on the floor of the cage. Using an example Bluetooth Low Energy link budget, we compare three automated mode stirring strategies for re-configuring the mode structure in response to simulated Brownian animal motion within the cage. Without mode stirring, the link budget has margin in only 68% of the surveyed locations, while with mode stirring, the link budget has margin in 99% of the locations in a stationary-animal scenario, and 92% of the animal locations in a moving-animal scenario. Finally, we present a demonstration of the link margin improvement in an actual communication link using a backscatter-based Bluetooth Low Energy implementation.","PeriodicalId":73291,"journal":{"name":"IEEE journal of radio frequency identification","volume":"8 ","pages":"217-225"},"PeriodicalIF":0.0,"publicationDate":"2024-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140880713","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

Large Language Model-Assisted Arterial Traffic Signal Control 大语言模型辅助的干道交通信号控制

IEEE journal of radio frequency identification Pub Date : 2024-04-02 DOI: 10.1109/JRFID.2024.3384289

Yiqing Tang;Xingyuan Dai;Yisheng Lv

{"title":"Large Language Model-Assisted Arterial Traffic Signal Control","authors":"Yiqing Tang;Xingyuan Dai;Yisheng Lv","doi":"10.1109/JRFID.2024.3384289","DOIUrl":"https://doi.org/10.1109/JRFID.2024.3384289","url":null,"abstract":"In the field of urban traffic management, optimising traffic signal control on major arterial road is crucial for reducing congestion and improving overall road efficiency. In this paper, we explore a novel approach to design and implement green wave control for urban arterials using Large Language Models (LLM), such as GPT-4. Our approach combines state-of-the-art LLM with traffic signal control policies, aiming to explore the potential of LLM for application in the field of traffic control. We design a workflow for LLM-driven green wave control generation for urban arterial road traffic signal control as an example. The experiments use SUMO simulation software to construct the traffic signal control problem of the arterial road. We verify that LLM can implement the analysis and solution process of the traffic signal control problem. The traffic signal control policy is generated interactively through natural language, which reduces the data analysis and computation pressure of traffic managers. The experimental results show that the process generates the green wave control of the arterial road that can improve the average speed of the road. The potential application of LLM in the field of traffic control is verified in this work.","PeriodicalId":73291,"journal":{"name":"IEEE journal of radio frequency identification","volume":"8 ","pages":"322-326"},"PeriodicalIF":0.0,"publicationDate":"2024-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140924700","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

Planar Omnidirectional Detection of RFID/NFC Patches Inside a Cubic Structure 立方体结构内 RFID/NFC 贴片的平面全向检测

IEEE journal of radio frequency identification Pub Date : 2024-04-01 DOI: 10.1109/JRFID.2024.3383609

Jie Sun;Antoine Diet;Yann Le Bihan;Marc Biancheri-Astier;Chadi Gannouni;Michel Police

{"title":"Planar Omnidirectional Detection of RFID/NFC Patches Inside a Cubic Structure","authors":"Jie Sun;Antoine Diet;Yann Le Bihan;Marc Biancheri-Astier;Chadi Gannouni;Michel Police","doi":"10.1109/JRFID.2024.3383609","DOIUrl":"https://doi.org/10.1109/JRFID.2024.3383609","url":null,"abstract":"Benefiting from advantages such as miniaturization, lightweight design, and cost-effectiveness, 13.56 MHz High Frequency Radio Frequency Identification (HF RFID) and Near Field Communication (NFC) tags have found increasing applications across various fields like biomedical, tracking, and logistics, bringing a lot of convenience to the industries and commercials, as well as decreasing the medical and employment pressure. Nevertheless, the smaller the tag, the less likely it is to be fixed in orientation. As the detection of such tags relies on magnetic coupling, the orientation sensitivity is high, and some nulls of detection are introduced inside the considered volume of interest in practical applications. It is essential to optimize the magnetic field vectorial distribution generated by the NFC reader. This paper uses a combination of two paralleled tuned coils (RLC resonator model) in series to be the RFID/NFC reader coils. In such a system, the currents feeding the coils are in quadrature. The system is made of two-phase coils. Additionally, each coil is composed of two sub-coils placed on opposite surfaces of a cube, for the prototype of this system presented in the paper. CST simulations have been analyzed and a 3D printed cube structure with copper tapes has been realized, to validate the idea experimentally. Detection tests were performed with a commercial HF RFID reader and an ISO15693 NFC tag.","PeriodicalId":73291,"journal":{"name":"IEEE journal of radio frequency identification","volume":"8 ","pages":"206-216"},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140880717","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