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关键词： Radiofrequency identification   Topology   Network topology   Three-dimensional displays   Transformers   Optimization   Position measurement   Electromagnetics   Convolutional neural networks   Antennas   Graph attention transformer network (GATN)   radio frequency identification (RFID) multitag   reading distance   SURF   synergistic topology graph construction (STGC) strategy  

摘要： With the increasing application numbers of radio frequency identification (RFID) multitags in recent years, the position distribution of RFID multitag has a significant impact on the reading performance of RFID system. The poor reading performance of RFID multitag will lead to the loss of important information stored in the tags. In this article, a novel synergistic topology graph construction strategy using graph attention transformer network (STGC-GATN) method is proposed to predict the reading performance of RFID multitag so as to optimize the RFID tags' position distribution. First, considering increasingly complex electromagnetic environment, computer vision approach is involved to design and construct the RFID multitag reading performance analysis system. Then, scale-invariant SURF image matching method is adopted to effectively and accurately measure the multitags' 3-D positions. After that, addressing the complex topology structure presented by the RFID multitag, a novel STGC-GATN method is proposed to construct the nonlinear relationship between the RFID multitag's 3-D positions and corresponding reading distance. The proposed synergistic topology graph construction (STGC) strategy makes up for the insensitivity of graph attention transformer network (GATN) model to similar topology structures by fusing multiple distance functions, which can effectively improve the prediction accuracy of the reading distance of RFID multitag system. A large number of experiments are conducted to verify the effectiveness of the proposed methods. The experimental results show that compared with other benchmarks, the proposed STGC-GATN model can effectively forecast the reading distance of RFID multitag. The mean absolute error (MAE), mean absolute percent error (MAPE), root mean square error (RMSE), and $R<^>{2}$ of the prediction results of STGC-GATN are 0.0307, 1.96%, 0.0383, and 0.9898, respectively. By analyzing the predicted reading distance and the topology structure, t

关键词： 光伏巡检   巡检点   RFID   QR-code   位姿校正  

摘要： 由于光伏发电站视野开阔、场地空旷，光伏阵列环境特征稀疏，相似性高，光伏巡检机器人巡检定位和导航过程中容易因为特征近似出现定位劣化问题。根据光伏电站特性和巡检需求特性，提出一种使用RFID信标和QR-Code标牌为光伏巡检机器人提供巡检点定位与姿态校正信号，实现发生定位劣化后位姿准确校正的方法。并通过巡检点预设巡检采集朝向参数校正巡检台上的设备朝向，调整巡检拍摄视场和角度，为光伏巡检自动识别提供更加有效且易用的巡检数据，在持续的位姿校正过程中保障巡检覆盖率。通过Gazebo仿真测试，对运行的光伏巡检机器人模拟产生定位劣化情况，测试结果表明当发生定位劣化后，光伏巡检机器人可以通过该位姿校正方法，实现位姿校正。通过重复性实验，测得校正成功率超过95%，验证了该方法的有效性，为光伏巡检机器人应用提供了参考。

关键词： Spirals   Radiofrequency identification   Fraud   Counterfeiting   Production   Machine learning   Dielectric substrates   Chipless RFID   Support vector machines   Shape   Electromagnetic propagation   machine learning   microwave signature   microwave systems   radio frequency identification (RFID) tags   support vector machine (SVM)  

摘要： In conjunction with the rapid evolution of global web markets and online transactions, there is a strong increase in frauds that involve luxury goods and foods. In such a scenario, the development of new methodologies to protect the brand's originality is mandatory. Different research groups tried to propose a wide range of anti-fraud systems aimed at protecting luxury goods and foods. They are based on radio frequency identification (RFID) technology, advanced deep and machine learning methods, and blockchain. This article presents a system that permits the easy and unique identification and tracking of luxury goods starting from the production phase using chipless RFID tags. The method uses metallic tags that are difficult to imitate and that can be hidden in the good. To simplify the tag identification, machine learning techniques are implemented in the reader section. Obtained preliminary results, based on an experimental system prototype, are quite promising and have shown a protection accuracy enhancement compared with existing methodologies.

关键词： Pipelines  

摘要： Radio Frequency Identification (RFID) technology has emerged as a promising solution for real-time tracking and monitoring in the petroleum industry. This study systematically reviews recent advancements in RFID applications for petroleum asset management, logistics, and safety. The research is based on an extensive review of peer-reviewed literature, industry reports, and experimental case studies involving RFID deployment in refinery operations and pipeline monitoring. The study also examines practical implementation challenges, including signal interference due to metal surfaces, high initial costs associated with infrastructure setup, and integration complexities with existing digital systems such as SCADA and IoT platforms. Furthermore, issues related to data security and the potential for unauthorized access are discussed as critical concerns that need to be addressed for large-scale adoption. Despite these limitations, RFID technology demonstrates significant potential in optimizing supply chain management, enhancing real-time asset tracking, and improving workplace safety in petroleum engineering. The ability to automate inventory management, reduce operational downtime, and enhance predictive maintenance further underscores its strategic importance. Future research should focus on overcoming technical barriers through the development of advanced RFID tags with higher resistance to extreme environmental conditions and improved data encryption techniques. Additionally, cost-effective deployment strategies and interoperability standards must be established to facilitate broader industry adoption. Collaborative efforts between researchers, technology developers, and industry stakeholders will be essential in driving innovation and ensuring the successful integration of RFID into the petroleum sector. © 2025 The Authors

摘要： 一、引言在数字化与智能化背景下，智慧图书馆建设已成为图书馆的重要发展趋势，RFID（无线射频识别）在这一过程中发挥着举足轻重的作用。RFID是一种高效、精准的自动识别技术，它利用无线射频实现非接触双向数据通信，对电子标签进行读写，达到识别目标与数据交换的目的。近年来，在智慧图书馆建设中，该技术得到广泛应用，不仅实现了对图书信息的数据采集和自动识别，更极大地推动了图书馆管理的智能化进程，为智慧图书馆建设筑牢了根基。[1]基于此，本文深入探讨RFID在智慧图书馆建设中的应用现状，并提出有针对性的优化对策，旨在为智慧图书馆建设提供理论参考。

关键词： Lyapunov methods  

摘要： In the context of the booming modern logistics and supply chain management, cargo tracking technology has emerged as a pivotal means to enhance logistics efficiency and transparency. High-precision cargo tracking systems are particularly crucial in complex warehousing and transportation scenarios, as they can effectively address issues like positioning errors and signal attenuation. This research puts forward a high-precision cargo tracking approach grounded in a joint optimization algorithm. By integrating multiple positioning technologies, namely Received Signal Strength Indicator (RSSI), Time Difference of Arrival (TDOA), and Angle of Arrival (AOA), accurate positioning across diverse environmental conditions is attained. The experimental design encompasses a battery of evaluations, including accuracy tests, real-time performance tests, and system stability analyses, to validate the practical application efficacy of the algorithm. In the accuracy tests, compared with the traditional positioning algorithm, the joint optimization algorithm demonstrated remarkable improvements. In high signal strength areas, the positioning error was slashed by 20%, dropping from an average of 0.8 meters in traditional algorithms to 0.64 meters. In low signal strength areas, the error was reduced by 30%, from 1.5 meters to 1.05 meters. And in high-density obstacle areas, the error was cut by 35%, decreasing from 2.2 meters to 1.43 meters. During real-time tests in high-concurrency environments, the joint optimization algorithm outperformed traditional algorithms significantly. The response time was shortened by 55%, from an average of 0.8 seconds in traditional algorithms to 0.36 seconds, and the throughput increased by 30%, rising from 100 requests per second to 130 requests per second. System stability and fault tolerance tests indicated that the joint optimization algorithm exhibited minimal error accumulation during long - term operation. After continuous operation for 48 hours,

关键词： Channel estimation   Backscatter   Throughput   Protocols   Signal to noise ratio   Precoding   Receiving antennas   Hardware   Clustering algorithms   Uplink   RFID   multi-user   MIMO   EPC gen2   collision recovery   channel estimation  

摘要： Radio Frequency Identification (RFID) is frequently deployed in high tag density environments, where tag read rate can become a limiting factor. Current Class 1 Gen 2 (C1G2) RFID systems are limited in read rate by the Framed Slotted Aloha (FSA) scheduling algorithm and physical layer modulation parameters. We propose a multi-user MIMO (MU-MIMO) RFID system compatible with C1G2 which enables simultaneous communication with multiple tags, achieving greater read rates. Multiple monostatic reader antennas are exploited to recover collided tag data and perform channel estimation. These channel estimates are then used to precode the reader's ACK signals across multiple transmit antennas into spatial channels such that the tags will receive separated acknowledgements. To evaluate potential performance gains, we calculate theoretical throughput improvements and empirically measure the signal-to-interference ratio (SIR) required for commercial passive tags to respond to collided acknowledgements. Furthermore, we perform simulations to determine the effect of increasing number of tag responses on channel estimation accuracy, and hence the received SIR at tags. An experiment is carried out using two monostatic transceivers with two emulated tags, showing successful channel recoveries and uncollided reader acknowledgments commands at the tags, and hence compatability with C1G2 protocol provided a reader can be developed meeting the timing requirements.

关键词： PILA tag antenna   absorption material   reflection surface   read range   miniaturized tag antenna  

摘要： In this study, we propose a novel design incorporating six Planar Inverted-L Antennas (PILAs) to miniaturize Ultra-High Frequency Radio Frequency Identification (UHF-RFID) tags, thereby enhancing tag efficiency when mounted on various conductive surfaces. The design enables effective tag antenna operation when attached to surfaces with varying signal absorption and reflection characteristics, obviating the need for a complete antenna redesign. By dominating the capacitive reactance between gaps or the inductive reactance of vias, the tag matches the proposed antenna and the microchip (with an impedance of 10.7-j134.5 Omega at 915 MHz). Both simulation and measurement results confirm the effectiveness of our approach. With this configuration of six adjacent coupled PILA antennas, the proposed tag minimizes electromagnetic field absorption from surfaces, such as containers filled with water or the human body, while enhancing radiation from reflective surfaces like metal. The tag antenna was fabricated on a single FR4 substrate, measuring 30 x 20 x 3.2 mm(3) (0.10 lambda(0) x 0.08 lambda(0) x 0.01 lambda(0)), and successfully tested on various conductive materials. In a free-space medium, a reader antenna with an Effective Isotropic Radiated Power (EIRP) of 4.0 W achieved maximum reading distances of 7.8 m, 6.1 m, and 5.3 m as the tag antenna was positioned on a metal plane, a water-filled container, and on a human body, respectively.

关键词： Blind source separation  

摘要： Blind source separation (BSS) technology is employed to address anti-collision detection of frequency-coded chipless radiofrequency identification (RFID) tags, where multiple mixed backscattering signals are required to be separated. To enable multi-tag detection in chipless RFID, the antenna is required to feature a broad impedance bandwidth, dual polarizations, wide half-power beamwidths (HPBWs), and, most importantly, pattern reconfigurability controlled electrically. To achieve these design goals simultaneously, a pattern reconfigurable antenna with 20 diverse patterns and 100 detection states is proposed over 2.06–6.37 GHz (120%). The proposed antenna is constructed as an antipodal Vivaldi topology, where various patterns are controlled by the switching of diodes. To validate its capability, the proposed antenna is applied to multi-tag detections for 5-bit chipless RFID over 2.0–5.0 GHz. When four chipless tags separated by only 6 mm are present, the proposed antenna can generate various beams to accommodate the number of tags, collecting mixed backscattering signals for the processing using independent component analysis (ICA). Due to various samples collected with diversity, the mixed signals can be separated and identified into individual IDs, demonstrating the potential of the proposed antenna for multi-tag detection in chipless RFID applications. © 1963-2012 IEEE.

关键词： Q factor measurement  

摘要： This paper proposes a compact and low-profile chipless RFID sensor, with identification and sensing capability, the latter enabled by permittivity variation of integrated liquid. The design comprised one modified meander line that backscatters the horizontal polarization (sensing polarization) and two meander lines that backscatter the vertical polarization (identification polarization). The proposed sensor can detect the appearance of liquids and its volume based on the liquid’s permittivity (from 1 to 15) using only resonant peaks of S11. Furthermore, it is capable to simultaneously executing sensing and identification, i.e. the measurement results can be linked with the unique tags ID. The sensor is demonstrated for detecting cold-chain breaks in frozen food applications, and soil moisture content. However, any other application where a material changes its permittivity based on sensed value is feasible. The proposed tag has a narrow peak with a 3-dB Q-factor of 16.8 in sensing polarization and 35.8/14.4 for ID1/ID2 in identification polarization, owing to its small size of 0.2 x 0.2 λ20 (at 6.3 GHz). © 1963-2012 IEEE.