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摘要： One of the main limitations for the development and deployment of many Green Radio Frequency Identification (RFID) and Internet of Things (IoT) systems is the access to energy sources. In this aspect batteries are the main option to be used in energy constrained scenarios, but their use is limited to certain cases, either because of the constraints imposed by a reduced-form factor, their limited lifespan, or the characteristics of the environment itself (e.g. operating temperature, risk of burning, need for fast response, sudden voltage variations). In this regard, supercapacitors present an interesting alternative for the previously mentioned type of environment, although, due to their short-term capacity, they must be combined with an alternative energy supply mechanism. Energy harvesting mechanisms, in conjunction with ultra-low-power electronics, supercapacitors and various methods to improve the efficiency of communications, have enabled the emergence of battery-less passive electronic devices such as sensors, actuators or transmitters. This paper presents a novel analysis of the performance of an energy harvesting system based on vibrations for Green RFID and IoT applications in the field of maritime transport. The results show that the proposed system allows for charging half of a 1.2 F supercapacitor in about 72 minutes, providing a stable current of around 210 µA and a power output of 0.38 mW. © 2024, CC BY.

关键词： Packet loss  

摘要： Wireless communications are critical in the constantly changing environment of IoT and RFID technologies, where thousands of devices can be deployed across a wide range of scenarios. Whether connecting to cloud servers or local fog/edge devices, maintaining seamless communications is difficult, especially in demanding contexts like industrial warehouses or remote rural areas. Opportunistic networks, when combined with edge devices, provide a possible solution to this challenge. These networks enable IoT devices, particularly mobile devices, to redirect information as it passes via other devices until it reaches an edge node. Using different communication protocols, this paper investigates their effects on response times and total messages received for a opportunistic assisted RFID system. Specifically, this article compares two communications technologies (Bluetooth 5 and Wize) when used for building a novel Opportunistic Edge Computing (OEC) identification system based on low-cost Single-Board Computers (SBCs). For such a comparison, measurements have been performed for quantifying packet loss and latency. The tests consisted in two experiments under identical conditions and scenarios, with a node located roadside, transmitting identification information, and a node located inside a moving vehicle that was driven at varying vehicle speeds. The obtained results show for Bluetooth 5 average latencies ranging between 700 and 950 ms with packet losses between 7% and 27%, whereas for Wize the average delay as between 150 and 370 ms with packet losses between 20% and 52%. © 2024, CC BY.

关键词： Humanitarian operations and supply chain management   Disaster relief   Digitalization   RFID   Task-technology fit   Contingent resource-based view   Survey  

摘要： PurposeIn the aftermath of disasters, humanitarian actors need to coordinate their activities based on accurate information about the disaster site, its surrounding environment, the victims and survivors and the supply of and demand for relief supplies. In this study, the authors examine the characteristics of radio frequency identification (RFID) technology and those of disaster relief operations to achieve information visibility and actor coordination for effective and efficient humanitarian relief ***/methodology/approachBuilding on the contingent resource-based view (CRBV), the authors present a model of task-technology fit (TTF) that explains how the use of RFID can improve visibility and coordination. Survey data were collected from humanitarian practitioners in India, and partial least squares (PLS) analysis was used to analyze the *** characteristics of both RFID technology and disaster relief operations significantly influence TTF, and TTF predicts RFID usage in disaster relief operations, providing visibility and coordination. TTF is also a mediator between the characteristics of RFID technology and disaster relief operations and between visibility and *** implicationsThe many recent humanitarian disasters have demonstrated the critical importance of effective and efficient humanitarian supply chain and logistics strategies and operations in assisting disaster-affected populations. The active and appropriate use of technology, including RFID, can help make disaster response more effective and ***/valueHumanitarian actors value RFID technology because of its ability to improve the visibility and coordination of relief operations. This study brings a new perspective to the benefits of RFID technology and sheds light on its antecedents. The study thus expands the understanding of technology in humanitarian operations.

关键词： 供应链协调   博弈分析   射频识别技术   库存损耗   机制设计  

摘要： 考虑一个包含单个制造商和单个零售商的供应链。投资RFID技术前，零售商会遭受库存损耗，两个企业通过批发价契约交易。投资RFID后，零售商将部分销售收入分享给其制造商。研究发现，仅引入收入共享能提高制造商的利润，但会降低零售商的利润。讨论了3种协调机制的作用，包括引入收入共享且谈判批发价、引入收入共享且谈判批发价与订货量以及谈判批发价与收入共享比例，探索了引入收入共享能同时改善两个企业利润的条件，以及供应链成员及整体对各种协调机制的偏好，进而界定两个企业在投资RFID技术后能获得更高利润的条件，以及引入收入共享能增强成员投资RFID技术动机的条件。最后，比较了不同协调机制下两个企业投资RFID技术的动机。得出了多个崭新的结论，可以为供应链成员在投资单品级RFID技术的动机协调提供启示，为丰富供应链协调理论做出贡献。

关键词： Anti-drone systems   Drone detection   Convolutional neural network   Jamming   RFID  

摘要： It is imperative to take a holistic strategy to thwarting drone threats, including the identification of drones and drone-like gadgets like ornithopters that visually imitate birds. In this study, we present the DroneSilient System, a novel anti-drone system that combines different parts. The DroneSilient system includes components that connect to RF identification technology and image-capture technology. A modified bloom filter method is used to further identify the recognized object after a drone-like object has been found, allowing for the differentiation between regular drones, ornithopters, and genuine birds. The CNN (Convolutional Neural Network) method, created using the Google Cloud Platform and AutoML widget, is used in our model for object identification and categorization. DroneSilient has an RF sensor that can identify and imitate the threat presented by recognized drones. Convolutional Network, Modified Blooms Algorithm, RFID, and RF Sensor systems are all integrated into the DroneSilient system as part of this methodology combination, which provides a thorough method for identifying and eliminating drone threats. The bloom filter proposed takes 27.6 to 12.4 microseconds. Overall time for handling the unauthorized drone will be less than 180 s. By tackling every facet of the problem, our strategy outperforms many current anti-drone solutions in terms of functionality.

关键词： Light emitting diodes  

摘要： Managing large-scale optical distribution networks is a daunting task. This paper introduces a novel solution using radio frequency identification (RFID) technology to transform the procedure we monitor and manage the complex optical network dumb resources (ONDR). By implementing and deploying removable RFID tag pairing based on the serial peripheral interface (SPI) communication protocol, the system identifies 30 pairs of tags within one second, even at densities of up to 5.1 tagged components per square inch of patch panel surface area. The integration of light-emitting diode (LED) navigation aids in indicating correctly matched interfaces, effectively addressing the complexities associated with large-scale fiber matching. Copyright © 2024, The Authors. All rights reserved.

关键词： Traceability of agricultural products   RFID   Blockchain   SM3   HSM   Internet of things technology  

摘要： Ensuring the traceability of agricultural products is essential for quality control and food safety. Recent technological advances have provided new ways to enhance traceability systems. This study aims to use blockchain technology, centralized database and RFID tags to develop a secure agricultural product traceability system, retain the detailed information of agricultural products traceability, ensure that the summary information of agricultural products on the chain cannot be modified, and optimize the SM3 algorithm to effectively summarize the traceability data and improve the efficiency of the system. The aggregated data is time-stamped, recorded on the blockchain, and written into an RFID tag. The optimization of the SM3 algorithm improved the efficiency by 30% and reduced the execution time of 192-byte messages to 210 mu s. The system ensures accurate linking of traceability data through secure data retention and unalterable summaries on the blockchain. The integrated use of blockchain, centralized database and RFID technology, as well as the enhanced SM3 algorithm, allows the system to meet the standards for data accuracy and performance requirements in agricultural traceability applications.

关键词： PCB RFID天线   阻抗预测   KNN算法   XGBOOST算法   融合堆叠   电磁仿真  

摘要： 针对传统的天线仿真建模过程中需要的天线阻抗耗时长问题,文中提出一种基于KNN-XGBOOST模型的天线阻抗预测方法。现有研究大多为单一预测算法,旨在通过对比寻求预测效果更优的算法。首先通过ANSYS仿真软件收集大量的PCB RFID天线阻抗设计数据,然后结合影响阻抗中天线长度和频率共8个有效特征,以KNN和XGBOOST两种算法作为基模型,线性回归作为元模型,构建了一个堆叠集成学习模型。在实验过程中,通过交叉验证和网格搜索技术,对模型的超参数进行了精细调优,以确保模型能够达到最优的预测性能。实验结果显示,与单一的KNN和XGBOOST模型相比,KNN-XGBOOST模型的均方根误差降低了30%~70%,R^(2)提高了10%。在预测PCB RFID天线的阻抗实部和虚部时,KNNXGBOOST模型具有较高的准确率和较低的预测误差,证明了其在电磁仿真设计优化中的应用价值。

关键词： UHF RFID   低功耗   CMOS处理   温度传感器   感应识别   传感装置接入  

摘要： 当前的低功耗CMOS温度传感器振荡装置接入多为单一接入,形式较为简单,传感的速度较慢,导致温度感应误差增加,为此提出对集成于UHF RFID的低功耗CMOS温度传感器设计。根据当前需求,先设计感温单元,并以环形的方式,提升传感的速度,建立环形振荡装置。以此为基础,接入UHF RFID分频装置,并采用CFC联仿稳定处理的方式来实现温度传感器设计。测试结果表明:相较于S型电磁超材料温度传感器、FinFET器件结构高精度温度传感器,此次的集成UHF RFID低功耗CMOS温度传感器最终得出的温度感应误差相对较小,这说明本次在UHF RFID的辅助下,设计的低功耗CMOS温度传感器覆盖范围大,对应的温度传感效率得到了进一步提高,具有实际的应用价值和验证意义。