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关键词： HCC   RFID   Indoor positioning system   Neural network   Edge computing  

摘要： In the subject of human-centered computing (HCC), achieving accurate location in an indoor environment is a crucial research problem and a hotspot for research. In comparison to WiFi, GPS, and Bluetooth location technologies, radio frequency identification (RFID) obviously has benefits. However, the fixed path loss coefficient in the indoor positioning algorithm based on RFID cannot accurately reflect the complex and mutable properties of indoor settings, leading to significant indoor positioning mistakes and sluggish speeds. This research suggests an indoor positioning system based on edge computing (EC) to improve the precision and responsiveness of indoor positioning. First, the indoor signal strength is calculated using RFID. Next, the output is sent to a neural network, which outputs the path loss coefficient. Finally, the EC is used to create a more effective indoor positioning system. According to experiments, the suggested method can more accurately reflect inside-environment signal changes and increase indoor location accuracy. Even after being deployed to EC, this solution meets the requirements for indoor real-time positioning effectively.

标准号: GB/T 41734.6-2023

摘要： 本文件规定了符合GB/T 20563及GB/T 22334的动物识别信息在射频识别读写器显示屏上的显示格式以及射频识别读写器与系统之间的数据传输格式,这些信息可储存于数据库,用于过程控制或显示。本文件规定的动物识别信息格式适用于动物养殖使用的射频识别读写器。

标准号: GB/T 41732.2-2023

标准号: GB/T 41734.7-2023

摘要： 本文件确立了射频识别读写器在读取符合GB/T 20563与GB/T 22334的射频识别标签时的同步规则和程序。本文件适用于动物养殖使用的射频识别读写器。

标准号: GB/T 41734.4-2023

摘要： 本文件描述了符合GB/T 20563和GB/T 22334、用于动物识别的射频识别读写器的性能评估方法。本文件规定的性能评估方法适用于动物养殖使用的射频识别读写器。

关键词： Electrically small (ES) antennas   Huygens dipole antenna   RFID tag   temperature monitoring  

摘要： An electrically small (ES), epidermal radio frequency identification (RFID) tag is developed, which enables reliable human body temperature monitoring at a distance. It is based on the Huygens dipole antenna (HDA) technology. The inherent unidirectional radiation advantage of a Huygens source along with the tag being designed to be circularly polarized (CP) enhances the read distance of the reader and reduces the polarization loss. The CP HDA is then seamlessly integrated directly with a commercial temperature sensor to facilitate both minimal insertion loss and overall size. The simulation results of this passive tag show that ka of the antenna is 0.52 and the gain at 915 MHz reaches 2.32 dBic. A complete RFID system was assembled to validate the performance of the epidermal tag. Measurements demonstrate that it achieves stable body temperature monitoring with a measurement resolution of 0.25 degrees C and a maximum read distance of 170 cm, which is a factor of more than 14 times larger than a commercial dipole-based product.

关键词： Authentication   Protocols   Physical unclonable function   Cloud computing   Radiofrequency identification   Servers   Sensors   Authentication and key agreement   cloud computing   e-Healthcare   network security   physical unclonable function (PUF)   radio frequency identification (RFID)  

摘要： In the presence of convenience, cloud computing services have increasingly become used to resolve low-latency and high-efficiency issues. In particular, they can help medical staff remotely obtain patients' data. The radio frequency identification (RFID) system is popularly used to collect the physiological signals of patients in e-Healthcare, which include their heartbeat, blood pressure, pulse, brain activity, and others. Although cloud computing services and RFID systems are used in many environments, they have some problems that are associated with security and efficiency. For example, the RFID system cannot be used to perform time-consuming and burdensome computations. Therefore, the public-key cryptosystem is difficult to be used. In addition, due to the overload of cloud servers when a large number of devices join, the use of traditional cryptosystems is not feasible. Recently, many protocols have been proposed to resolve the above issues. However, most of them consider only the authentication of communicating entities rather than authenticated key agreement for secure data transmission. Some protocols are not secure against possible attacks. Thus, this study proposes authentication key agreement protocols for e-Healthcare systems to solve the problems of efficiency using lightweight operations and to enhance security by adopting the physical unclonable function (PUF). Since PUFs use the uniqueness and randomness of their circuits to perform computation, they have message fingerprints that act as authentication keys. A PUF is lightweight and suitable for use in e-Healthcare systems with limited resources. The proposed protocols satisfy more security requirements than related authentication protocols, require fewer computational resources, and are more efficient.

关键词： RFID tag localization   Synthetic Aperture Radar (SAR)   Angle-of-Arrival (AoA)   Machine learning   Hashtable  

摘要： RFID-based item localization for large-scale warehousing and inventorying applications has been gradually developing over the years. In these settings, fast and accurate item localization with low deployment cost is vital for inventory visibility and warehouse efficiency. However, existing tag positioning methods based on a single antenna offer either fast inference with low accuracy or high accuracy with slow inference. In this paper, we propose a phase-based SAR tag positioning method that offers both merits. Firstly, the traditional holograms formed in existing SAR methods are completely replaced by a one-step version of the recently proposed hologram mask (Angle-of-Arrival hologram), to accelerate the tag positioning task. Secondly, a pair of hashtables is implemented to output directly hologram grids from phase measurements, reducing further the hologram construction time. Thirdly, a pre-processing cross-validation stage tests the measurements at each operating frequency to determine the one leading to the lowest positioning error. After this, the model is trained and tested solely on this frequency, limiting both the inference time and on-site collection time. Finally, we efficiently infer the height information of tags from a single antenna moving along a rectilinear horizontal trajectory. Our comparative experiments show that our model achieves similar positioning accuracy to the state-of-the-art accuracy methods while offering a much lower inference time, in both short-range and long-range settings.

关键词： Digital twin   Supply chain   Manufacturing   Radio-frequency identification   RFID   Industry 4   0   Business value  

摘要： Purpose The digital twin (DT) has become a heated topic among supply chain and information technology practitioners. While many papers in this area focus on technical tactics and learnings, this research paper aims to evaluate its business implications. According to literature, it has also been a weakly covered topic. Design/methodology/approach The research was conducted as a single case study, in which the impact of radio-frequency identification-enabled DT was quantified from the business benefits perspective. The evaluation was carried out using a framework model developed for the assessment identifying key contribution areas and the dynamics explaining how the benefits are expected to land on a business level. Findings Implementation of the DT was calculated to provide a significant supply chain performance improvement. The main contributor in the immediate benefits was the reduction in supply chain costs, in person-hours. However, the product availability improvement was conservatively considered in the evaluation, and thus, this paper estimates that it, together with higher cognition tools, constitutes the main financial return in the long run showing in the topline improvement. This paper suggests that the shift to DT can be generally limited by the cost savings perspective. Originality/value To the best of the authors' knowledge, this is one of the first studies released on the business impact of the cutting-edge technical solution area of the DT in supply chain management. In practice, businesses require an understanding of the business implications to decide on the investments in this area;thus, it is a critical part of the discussion.

关键词： Strain   Sensors   Resonant frequency   Internet of Things   Monitoring   RFID tags   Encoding   Chipless radio frequency identification (RFID) tag   Internet of Things (IoT)   multiparameter on-chip integration   strain sensing   structural health monitoring~(SHM)   tunable encoding  

摘要： Structural health monitoring (SHM) is essential for modern large buildings and infrastructure. Radio frequency identification (RFID) widen a new paradigm for SHM in the Internet of Things (IoT) era. This article introduces a low-cost intelligent RFID monitoring system for future IoT applications. Through adding a multiparameter sensing strategy to the passive RFID tags that can be deployed on a large scale to form a sensor network, which expands the coverage of IoT in key positions health monitoring of buildings. In this work, a novel chipless RFID strain sensing tag is designed to characterize the magnitude and direction of metal surface strain, and a low-cost detection method suitable for large mechanical structures is proposed. The traditional strain antennas focus on identifying the strain characteristics without the function of encoding, and there are limitations, such as the rigid measurement methods and the expensive measurement instruments. The tag designed in this article integrates both strain sensing and encoding functions, and has the advantages of small size, high data capacity, and information reading is not easily affected by environmental noise. This article proposes an economical and flexible tag spectrum extraction method, which realizes the intelligent collection and transmission of tag data by connecting lightweight vector network analyzer (VNA) with microcontroller. Combined with the IoT, this method can be well applied to the security assessment and damage detection of large infrastructure structures, which provides a new approach to modern building health monitoring applications from integrated tag design to intelligent detection and risk assessment schemes.