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关键词： 区域康复中心   B/S架构   物联网   医院信息系统   信息互通   智慧服务   射频识别  

摘要： 目的设计一种区域康复中心信息系统,实现康复中心与各成员单位的信息互通,提升康复智慧服务能力。方法基于B/S架构,搭建Spring+SpringBoot+Mybatis框架,围绕事前(规范流程、智能排班)、事中(患者跟踪、治疗确认、数据监控反馈)、事后(数据输出、轨迹跟踪)多个维度进行物联信息系统的设计,实现各康复中心成员单位医院信息系统双向数据对接,实现区域各部门的信息互联。结果通过区域康复中心物联信息系统的使用,优化了康复治疗流程,提升了患者的治疗质量,实现了区域康复中心与成员单位的信息互通,实现康复设备的远程实时管理。医护人员日均有效工作时长、患者总满意度显著提高,二次转诊率显著降低,患者病程显著缩短,且差异均有统计学意义(P<0.05)。结论区域康复中心物联信息系统的运用对提高康复医疗质量具有重要价值。

关键词： 射频防盗器   天线   公众电磁暴露   射频识别   安全评估  

摘要： 射频防盗器是基于射频识别(Radio frequency identification,RFID)技术实现对物体的识别跟踪,防盗系统根据所识别到的信息进行合法性判断来实现防盗报警功能。为有效评估13.56 MHz射频防盗器对行人电磁暴露的安全性,本文基于COMSOL Multiphysics软件中RF模块,设计射频防盗器在正常工作状态下辐射行人的电磁环境模型,研究行人通过射频防盗器时的公众电磁暴露问题。分别对射频防盗器天线系统工作在100 mW、1 W时,行人位于防盗器正中央(位置A)和防盗器正中央前侧25 cm(位置B)4种暴露场景进行研究。结果表明:行人位于位置A时,天线馈电功率分别为100 mW和1 W,人体全身组织内部电场强度的最大值分别为0.26 V/m和0.84 V/m,磁场强度的最大值分别为0.05 A/m和0.16 A/m,比吸收率的最大值分别为1.55×10^(-5) W/kg和1.5×10^(-4) W/kg;行人位于位置B时,天线馈电功率分别为100 mW和1 W,人体全身组织内部电场强度最大值分别为0.1 V/m和0.36 V/m,磁场强度最大值分别为2.08×10^(-3) A/m和6.56×10^(-3) A/m,比吸收率的最大值分别为2.29×10^(-6) W/kg和2.92×10^(-5) W/kg。仿真计算结果均低于由国际非电离辐射防护委员会(International Commission on Non-Ionizing Radiation Protection,ICNIRP)制定的公众电磁暴露限值,说明在该射频电磁环境中通过的行人处于公众电磁暴露安全范围内,不会对公众人体健康造成威胁。

关键词： 射频识别   相对定位   相控阵天线   定位精度   超高频  

摘要： 针对已有相对定位方法存在环境依赖程度大、定位精度低等问题,提出一种基于相控阵天线的超高频(UHF)射频识别(RFID)相对定位方法,该方法通过调节相控阵天线的激励参数来改变天线的辐射方向,以获取目标标签的收信场强轮廓,有效降低了系统对环境和场地的依赖程度;同时,提出一种基于轮廓陡峭程度的相对位置估计方法,该方法首先利用轮廓最高点的时间戳信息将目标标签分为两组,然后计算每一组标签的整体轮廓陡峭程度进而估计其相对位置。仿真结果表明:相比于传统相对定位方法,所提相对定位方法能够有效提高定位精度,降低排序偏差;在信噪比为20~30 dB时,性能提高了7.7%~21.6%。上述结果证实了本文方法的有效性。

关键词： 手术工勤人员   算法   室内定位   卡尔曼滤波   图基平滑   RFID  

摘要： 以医院手术工勤人员的全流程智慧追溯为建设场景,以改善射频识别(Radio Frequency Identification,RFID)物联网手术工勤人员定位精度低、鲁棒性差问题为研究目标,提出一种基于卡尔曼滤波和图基平滑的室内定位优化方法,增强定位准确性。该研究首先以图的数据结构对场景进行建模,接着基于卡尔曼滤波(Kalman Filtering)和图基平滑(Tukey Smoothing)算法建立RFID室内定位优化方法,最后通过定位优化模块改善手术工勤人员定位追溯的成效。实证分析结果表明:该方法能有效改善定位精度,方法应用的3个月内手术工勤人员追溯准确率为99.75%。

关键词： RFID   消防装备   管理系统  

摘要： 随着信息技术的发展,装备库管理信息化已成为必然趋势。为了解决消防装备库管理技术落后,消防物资时进出库 效率低下,装备管理费用高等问题,本文拟将 RFID 技术引入到装备库管理中,重构装备库管理系统的体系架构,并对各个功能模 块的应用程序进行了详细的设计,最终形成了一个以 RFID 为基础的消防装备库管理系统。相对于传统的纸张档案,本系统利用 无线射频识别技术,并结合 Web 发展 B/S 的发展,使其能够进行空投物资的出入库、清点、盘库、异常报警等操作,使装备库的 管理工作更加高效,使其信息化和智能化水平得到了极大的提高。

关键词： animal personality   conformity   mesocosm   migration   RFID   social effect  

摘要： Assessing social effects on individual behaviour is challenging because knowledge of an individual's social environment is often difficult to gain, especially for animals that form dynamic social groups. We here report on an experiment where the social environment could be manipulated. To this end, we capitalized on the availability of populations of migrant and resident sticklebacks, Gasterosteus aculeatus, that exhibit strong differences in movement tendencies. This allowed us to create mixed shoals with different proportions of migrants and residents, to investigate the occurrence of social effects between migrant and resident fish. In a mesocosm consisting of linearly connected ponds, we found that the overall movement patterns, as quantified by the number of pond transitions, remained consistently higher in migrants than in residents, regardless of the social group composition. The fish's intrinsic movement tendency was the main predictor of the observed variation between populations. However, at the start of the experiment, when social effects were expected to be strongest, residents were more likely to leave the starting pond in the presence of migrants than in their absence. As this increase in movement tendency was not related to the frequency of migrants in the mixed groups it cannot solely be ascribed to social conformity. Additionally, we found an effect of being part of the majority on movement: the first fish to leave the starting pond was almost always a member of the majority group (be it migrants or residents). In conclusion, we found little evidence for social modulation of movement based on differences in the populations' movement tendencies, but rather an effect of being in a majority group. (c) 2024 The Authors. Published by Elsevier Ltd on behalf of The Association for the Study of Animal Behaviour. This is an open access article under the CC BY-NC-ND license (http://***/ licenses/by-nc-nd/4.0/).

关键词： Big data   Authentication   IoT   RFID   Cloud computing   Scyther tool  

摘要： With the continuing growth in various research domains such as Artificial Intelligence (AI), Machine Learning (ML), Big Data Analytics (BDA), and Cloud Computing (CC), the Internet of Things (IoT) has become a popular technology nowadays. It provides a virtual interaction between physical objects and the cyber world over the Internet without human intervention. The IoT devices are embedded with sensors, software, or some other useful technologies for connecting, sharing, and exchanging data with other devices. Among recent technologies impacting human lives, Radio Frequency IDentification (RFID) has become a core identification technology that can be integrated into the IoT environments which connect billions of things or objects. However, an RFID system has two major issues: (i) an adversary can tamper or intercept the sensitive information of the RFID tags, which may cause forgery and privacy problems, and (ii) RFID tags have limited computational power capability which makes it challenging to use current security solutions. To deal with these issues, we propose an anonymous and reliable ultralightweight RFID-enabled authentication scheme (namely AnonR2AS) R 2 AS) for IoT systems in a cloud computing environment. AnonR2AS R 2 AS integrates bitwise exclusive-OR, left-right rotations, and ultralightweight half- flip operation, to reduce computational overheads on tag. The AnonR2AS R 2 AS provides stronger security (by preventing several attacks) and improves performance concerning low computational, communication, and storage costs. Also, it preserves information privacy and tags untraceability property by using Vaudenay privacy model. The Scyther simulation tool verification has been performed for its formal security analysis. The performance analysis ensures our AnonR2AS R 2 AS scheme is preferable for low-cost RFID systems.

关键词： Wireless networks   Physical layer communication   RFID   Missing key tag   Execution time   Time efficiency  

摘要： Radio Frequency Identification (RFID) is a special wireless network technology that uses radio frequency communication to achieve non-contact automatic identification through tags affixed to items. As one of the core technologies for physical layer communication in the Industrial Internet of Things(IIoT), RFID technology has been widely used in inventory management, supply chain management, access control identification, and many other areas. In practical application scenarios, the value and importance of some special tags far exceeds that of other tags. Therefore, in many cases, managers only need to pay attention to the status of these special tags, i.e., key tags, and not the status of all tags. However, the response of ordinary tags to reader commands will seriously interfere with identifying key missing tags. Therefore, we propose a novel protocol, Random Grouped Missing Key Tag Identification (RGKMTI), designed for multi -region key tag identification. RGKMTI employs a region -based sequential tag identification method to identify each group of tags individually, which effectively reduces collision slots and utilizes the duality property of slots containing only two key tags during the missing key tag verification phase, where the reader can verify two tags by transmitting at most a single tag ID, which significantly reduces the transmission load and shortens the total execution time. The experimental results show that the RGKMTI is significantly better than the existing schemes in terms of execution time and time efficiency, even though it reduces the identification time by 19.83% and improves the time efficiency by 6.82% compared with the best existing schemes.

关键词： UHF RFID   tag array   rotation angle   coupled model   attitude identification  

摘要： Attitude information is as important as position information in describing and localizing objects. Based on this, this paper proposes a method for object attitude sensing utilizing ultra-high frequency passive RFID technology. This method adopts a double tag array strategy, which effectively enhances the spatial freedom and eliminates phase ambiguity by leveraging the phase difference information between the two tags. Additionally, we delve into the issue of the phase shift caused by coupling interference between the two tags. To effectively compensate for this coupling effect, a series of experiments were conducted to thoroughly examine the specific impact of coupling effects between tags, and based on these findings, a coupling model between tags was established. This model was then integrated into the original phase model to correct for the effects of phase shift, significantly improving the sensing accuracy. Furthermore, we considered the influence of the object rotation angle on phase changes to construct an accurate object attitude recognition and tracking model. To reduce random errors during phase measurement, we employed a polynomial regression method to fit the measured tag phase information, further enhancing the precision of the sensing model. Compared to traditional positioning modes, the dual-tag array strategy essentially increases the number of virtual antennas available for positioning, providing the system with more refined directional discrimination capabilities. The experimental results demonstrated that incorporating the effects of inter-tag coupling interference and rotation angle into the phase model significantly improved the recognition accuracy for both object localization and attitude angle determination. Specifically, the average error of object positioning was reduced to 12.3 cm, while the average error of attitude angle recognition was reduced to 8.28 degrees, making the method suitable for various practical application scenarios requir

关键词： capacitance   inductance   resonant frequency   coil shape   MATLAB program  

摘要： RFID (radio frequency identification) tags play a crucial role in a wide range of applications, from wireless communications to personal tracking and smart city infrastructure. These tags come in various shapes and sizes, prompting the authors to review the specialized literature and focus on optimizing planar designs with different geometries. This study prioritizes reducing the size of the most commonly used tags while enhancing their reliability. The primary objective of this article is to understand and improve the performance of planar RFID tags operating at 13.56 MHz through numerical simulations based on structures generated by algorithms developed in MATLAB. Building on previous research, the methodology is validated, followed by a detailed description of the algorithm designed and implemented by the authors in MATLAB to identify all possible structures that meet the design criteria. The authors compared various analyzed structures, considering different inductor shapes, dielectric materials, and thicknesses while examining their effects on gain and resonant frequency. The study also provides thermal analysis of the structures, and experimental validation of the studied designs. Finally, the researchers conclude with recommendations on the optimal structure for RFID tags.