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关键词： 门禁系统   身份证   人脸识别   射频识别   电子锁  

摘要： 针对智能门禁系统实名制管理及安全性问题,设计了一种基于身份证和人脸双重识别技术的智能门禁系统,通过RFID射频识别技术实现了身份证识别,通过宽度学习卷积神经网络算法实现了人脸识别,设计了智能门禁系统的通信指令,提出了一种基于优先级的周期性多任务调度算法,有效地提高实时多任务系统的整体控制性能;经实验结果表明,该智能门禁系统可实现网络化管理以及实名化开锁,可以应用于门禁系统、政府公租房、长短租公寓、民宿网约房、家庭联网门锁、写字楼等多领域。

关键词： RFID   Zig Bee   门禁控制   实验室管理系统  

摘要： 针对建立开放型实验室存在的问题,本文设计了基于Zig Bee和RFID技术的实验室管理系统,将实验人员从日常的实验室管理中解放出来,使实验室的管理由传统的高人力管理模式向智能化管理模式转变,保证了开放型实验室教学工作规范顺利进行。

关键词： wideband DP aperture coupled microstrip patch antenna array   RFID systems   frequency domain-based chipless RFID tags   dual-polarised universal reader architecture   electromagnetic wave polarisation   aperture-coupled antennas   radiofrequency identification   sensor data   DP ACMPA   broadband antennas   Antenna arrays   universal DP reader   microstrip antenna arrays  

摘要： A dual-polarised (DP) universal reader architecture is presented herein for detecting all types of frequency domain-based chipless RFID tags and sensors. The proposed reader reads the frequency domain-based tag and sensor data in both horizontal and vertical polarisations. At first, a commercially suitable low-profile, low-cost, wideband 2x2 DP aperture coupled microstrip patch antenna (ACMPA) array with high port-to-port isolation is developed and verified for tag measurement. Then, effects of different parameters on DP ACMPA are studied, which are used next for developing a novel step-by-step design guideline for DP ACMPA with new set of specifications. After that, a universal DP reader is proposed using the developed DP ACMPA, which is followed by a detail implementation procedure. This reader design using a single VCO is not only very low-cost, but also needless to use any calibration tag. It is fully capable of reading tags and sensors which require measurement in both polarisations. This DP reader is also capable of reading linearly polarised, orientation insensitive and cross-polarised frequency domain-based tags and sensors. Therefore, the proposed universal DP reader can be used commercially for reading all types of frequency domain-based chipless RFID tags and sensors.

关键词： smart packaging   intelligent packaging   active packaging   fresh produce   fruit quality   fruit processing   fruit smart packaging   fruit sensor   RFID   IoT  

摘要： Smart packaging of fresh produce is an emerging technology toward reduction of waste and preservation of consumer health and safety. Smart packaging systems also help to prolong the shelf life of perishable foods during transport and mass storage, which are difficult to regulate otherwise. The use of these ever-progressing technologies in the packaging of fruits has the potential to result in many positive consequences, including improved fruit quality, reduced waste, and associated improved public health. In this review, we examine the role of smart packaging in fruit packaging, current-state-of-the-art, challenges, and prospects. First, we discuss the motivation behind fruit quality monitoring and maintenance, followed by the background on the development process of fruits, factors used in determining fruit quality, and the classification of smart packaging technologies. Then, we discuss conventional freshness sensors for packaged fruits including direct and indirect freshness indicators. After that, we provide examples of possible smart packaging systems and sensors that can be used in monitoring fruits quality, followed by several strategies to mitigate premature fruit decay, and active packaging technologies. Finally, we discuss the prospects of smart packaging application for fruit quality monitoring along with the associated challenges and prospects.

关键词： Radio frequency Identification   smart IoT applications   Internet of Things   cloud-based remote RFID authentication  

摘要： Radio frequency is the technology which enables smart labels to things. Thus, even physical things can participate in computing process. It is becoming popular due to its technological innovation and ability to overcome line of sight problem. With Internet of Things (IoT) technology, RFID usage became ubiquitous in smart applications or IoT use the cases like smart education, smart homes, smart healthcare and smart cities to mention a few. Integration of digital and physical worlds is made possible with IoT, RFID and host of other technologies and standards. When connected devices and things are uniquely identified using RFID technology, it is essential to know its utility in authentication process and security challenges thrown as well. RFID tag and RFID reader are involved in wireless communication and identification. RFID tags may carry sensitive information and its vulnerabilities if any are exploited by adversaries. Moreover, heavy computation is involved in RFID-based authentication. To overcome issues like privacy, security and overhead improvements have been proposed as found in the literature. Researchers used cryptographic tools, hash functions and symmetric key encryption for secure RFID communications. However, the level of security is still inadequate. In this paper, we proposed a cloud-based remote RFID authentication scheme with smart home as the case study. The proposed scheme has features like forward secrecy, anonymity and untraceability besides being light weight. It can withstand various security attacks. Our simulation study revealed that the proposed system model and the cloud-based remote RFID authentication scheme are effective in providing privacy and security as part of access control system in smart home IoT use case.

关键词： 电子与通信技术  

ISBN: (纸本)9787030674081

摘要： 本书以物理学基本原理（包括电磁学、光学、热力学等）为基础，以工程数学方法进行检测控制算法设计为核心，创新性地将半物理验证与检测技术应用于射频识别（RFID）系统动态性能测试的科学实践中，提出物理防碰撞新理论、新方法以及基于光电传感技术构建半物理硬件平台的相关试验验证方法，将为物联网系统在智慧物流、车联网、食品溯源与防伪等民生领域的应用提供重要的理论和技术支撑。本书共有六章，分别论述了RFID系统防碰撞基本概念和软件防碰撞、物理防碰撞等技术研究进展、RFID系统物理防碰撞的实验验证系统搭建、RFID系统物理防碰撞的物理学基础、图像学基础、优化算法与RFID系统物理防碰撞、深度学习与RFID系统物理防碰撞。

关键词： remote patient monitoring (RPM)   radio frequency identification (RFID)   machine learning   linear regression   decision tree   Random Forest   XGBoost   Ensemble Learning   mental health   suicide  

摘要： Remote Patient Monitoring (RPM) has gained great popularity with an aim to measure vital signs and gain patient related information in clinics. RPM can be achieved with noninvasive digital technology without hindering a patient's daily activities and can enhance the efficiency of healthcare delivery in acute clinical settings. In this study, an RPM system was built using radio frequency identification (RFID) technology for early detection of suicidal behaviour in a hospital-based mental health facility. A range of machine learning models such as Linear Regression, Decision Tree, Random Forest, and XGBoost were investigated to help determine the optimum fixed positions of RFID reader-antennas in a simulated hospital ward. Empirical experiments showed that Decision Tree had the best performance compared to Random Forest and XGBoost models. An Ensemble Learning model was also developed, took advantage of these machine learning models based on their individual performance. The research set a path to analyse dynamic moving RFID tags and builds an RPM system to help retrieve patient vital signs such as heart rate, pulse rate, respiration rate and subtle motions to make this research state-of-the-art in terms of managing acute suicidal and self-harm behaviour in a mental health ward.

关键词： dual-tag   coupling effect   sensing performance   ultra-high frequency (UHF)   radio frequency identification (RFID)   structural health monitoring (SHM)  

摘要： The generation and propagation of cracks are critical factors that affect the performance and life of large structures. Therefore, in order to minimize maintenance costs and ensure personal safety, it is necessary to monitor key structures. The sensor based on ultra-high frequency radio frequency identification (UHF RFID) antenna has the advantages of passive wireless, low cost, and great potential in the field of metallic structure health monitoring. In this paper, aimed at the key parts of a metallic structure, a dual-tag system is used for crack monitoring. In conjunction with mode analysis, the principles of the sensing tag and the coupling principles of the dual-tag are analyzed. Considering that the dual-tag is placed in different methods, the effect of mutual coupling on the sensing performance of the tag is studied. The results show that the frequency of the sensing tag can be tuned by adding the interference tag, and the dual-tag sensor system has reasonable sensitivity. The results also provide potential guidance for the optimal placement of multiple tags in the near-field region.

关键词： Industrial IoT   Petri nets   RFID   Reliability   Performance   Error modelling  

摘要： The Industrial Internet of Things (IIoT) has the potential to deeply change the technological landscape in factories, transforming the way automation procedures are performed and relevant objects are identified. For that, however, reliability and performance issues have to be considered when providing the expected communication services. When employing Radio-Frequency Identification (RFID) in an IIoT context, previous works have struggled to improve the efficiency of RFID-complaint systems, usually defining mathematical models for planning and quality assessment. Nevertheless, such models are designed based on error-free communications, which are unreal when considering the error-prone nature of wireless communications in industrial plants. Therefore, this article defines a new formal model based on Generalized Stochastic Petri Nets (GSPN) for RFID communications, modelling different possibilities for errors between readers and RFID tags. Since this proposal employs the EPCglobal UHF Class 1 Gen2 parameters as reference, which are already adopted by the Dynamic Frame Slotted Aloha anti-collision protocol for passive RFID systems, this model can be exploited to assess the reliability and performance of different RFID medium access protocols when assuming noisy channels, supporting better comparisons among different algorithms and protocols. Simulation scenarios are defined to present reliability and performance results when assessing RFID tags reading, which are valuable when designing and maintaining IIoT applications. (C) 2020 Elsevier B.V. All rights reserved.