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摘要： Provides a listing of current committee members and society officers.

关键词： Leading   Sociality   Leadership   RFID  

摘要： Collective behaviors are typical for many social species and can have fitness benefits for participating individuals. To maximize the benefits obtained from group living, individuals must coordinate their behaviors to some extent. What are the mechanisms that make certain individuals more likely to initiate collective behaviors, for example, by taking a risk to initially access a resource (i.e., to act as "leaders")? Here, we examine leading behavior in a natural population of great tits and blue tits. We use automated feeding stations to monitor the feeder visits of tagged individuals within mixed-species flocks, with a small cost (waiting < 2 s) associated with the initial unlocking of the feeder. We find that great tits, males, and individuals with high activity levels were more likely to be leading in each of their feeder visits. Using a null model approach, we demonstrate that the effects of sex and activity on passive leading behavior can be explained by patterns of spatial and temporal occurrence. In other words, these effects can be explained by the times and locations of when individuals visit rather than the actual order of arrival. Hence, an analysis of the causes of leading behavior is needed to separate the effects of different processes. We highlight the importance of understanding the mechanisms behind leading behavior and discuss directions for future experimental work to gain a better understanding of the causes of leadership in natural populations. Significance statement Many species are social and engage in collective behaviors. To benefit from group actions, individuals need to fulfill different roles. Here, we examine leading behavior during feeding events;who feeds first when birds arrive at a resource? In mixed-species flocks of passerines, great tits (the larger and more dominant species), males, and individuals with higher levels of activity lead more often than blue tits, females, and individuals with lower levels of activity. While the spe

关键词： Trajectory   Location awareness   Robots   Radiofrequency identification   Antennas   Antenna measurements   Synthetic aperture radar   RFID   SAR   ISAR   localization   reference tags  

摘要： A novel RFID inverse synthetic aperture radar (ISAR)-synthetic aperture radar (SAR) localization method is proposed and demonstrated which exploits reference tags with known locations to estimate the trajectory of a mobile platform and locate target tags with unknown locations. A system that integrates a mobile robot with an integrated RFID reader and antenna is used to obtain phase measurements of both reference and target tags when the robot is moving along its trajectory. The ISAR algorithm estimates the antenna trajectory and a novel ISAR-SAR loop then adjusts the estimated trajectory. The estimated trajectory is combined with phase measurements of the target tags to determine their location. The performance is compared to SAR using a LiDAR measured antenna trajectory. Similar localization accuracy (15 cm MAE) is achieved using LiDAR-SAR or ISAR-SAR method with a straight-line trajectory and higher accuracy (6 cm) is achieved using ISAR-SAR method than LiDAR-SAR method (8 cm) with an L-shape trajectory.

关键词： Breast surgery   Breast cancer   Breast reconstruction   Silicone implants   RFID   Magnetic resonance image   Artifact   Void   Chip   Surgical technique   Outcome   Complications  

摘要： Background SmoothSilk implants (SSI) are the first generation of implants to incorporate a radio-frequency identification device (RFID-M), a non-invasive traceability system. Although the RFID-M is considered compatible with magnetic resonance imaging (MRI), the size of the artifact and its influence on breast tissue vary. This prospective study assessed safety and MRI issues in a cohort of breast reconstruction patients. Methods Forty-four SSI were used for breast reconstruction in patients undergoing treatment for breast cancer. All patients were evaluated for magnetic field interactions, MRI-related heating and artifacts in a 1.5-T MRI unit using standard T1/T2-weighted sequences utilized in clinical assessment of breast tissue/implants. Results Mean patient age was 41.5 years (27-53ys) and body mass index was 28+-6.44 kg/m(2). In 18/22 patients (81.8%), mastectomies were unilateral. No patients reported local heat/discomfort. All implants showed RFID-M-related artifacts with an estimated mean volume in T1 of 42.9cm(3) (26.2-63.6cm(3);SD +/- 8.6 and 95% CI, 40.37-45.45) and in T2 of 60.5cm(3) (35.4-97.2cm(3);SD +/- 14.7 and 95% CI, 56.29-65.01). Artifact volume was smaller in T1 than in T2, to a statistically significant degree (p <0.001). There were no statistically significant differences in artifact volume according to surgical indication, breast side or implant volume. There were 4/44 (9%) cases of minor rotation (<45 degrees). In all cases, adequate analysis of the breast tissue was performed. Conclusions The results demonstrate that SSI with RFID-M technology presented an artifact volume of 42.9cm(3) and 60.5cm(3) in T1 and T2 images, respectively. Our findings provide detailed information on the quality and location of MRI artifacts in a reconstructed cohort which can help guide clinical decision-making for patients. To our knowledge, this is the first time RFID-M breast implants have been prospectively evaluated for clinical and MRI issues in a cohort of

关键词： Gesture recognition   RFID   Wireless sensing   Adversarial learning  

摘要： Wireless signal-based gesture recognition attracts more and more attention in many fields due to its convenience and non-invasiveness without privacy issues. However, existing wireless gesture recognition approaches suffer a lot from the surrounding environment and relative deployment positions of wireless devices, which limits their application and generalization. As one of the most popular wireless sensing techniques, radio frequency identification (RFID) has been widely exploited for gesture recognition in recent years. In this paper, we propose a single gesture and sequential gestures recognition system ExpGRF with an experimental study via commercial RFID devices. ExpGRF leverages the elaborated signal processing pipeline and adversarial learning to extract gesture-discriminative, user-independent, environment-independent and deployment-independent features from RFID signals. Extensive experiments show that ExpGRF obtains strong effectiveness and robustness to user, environment and deployment diversity. Its accuracy achieves 97.2% for gesture sequence recognition in the non-light-of-sight (NLOS) scenario with new users and new deployments.

关键词： RFID   tensile test   fibreglass   aircraft maintenance   failure detection   crack detection   composite structure  

摘要： This manuscript deals with the detection of internal cracks and defects in aeronautical fibreglass structures. In technical practice, it is problematic to accurately determine the service life or MTBF (Mean Time Between Failure) of composite materials by the methods used in metallic materials. The problem is mainly the inhomogeneous and anisotropic structure of composites, possibly due to the differences in the macrostructure during production, production processes, etc. Diagnostic methods for detecting internal cracks and damage are slightly different, and in practice, it is more difficult to detect defects using non-destructive testing (NDT). The article deals with the use of Radio frequency identification (RFID) technology integrated in the fibreglass laminates of aircraft structures to detect internal defects based on deformation behaviour of passive RFID tag antenna. The experiments proved the potential of using RFID technology in fibreglass composite laminates when using tensile tests applied on specimens with different structural properties. Therefore, the implementation of passive RFID tags into fibreglass composite structures presents the possibilities of detecting internal cracks and structural health monitoring. The result and conclusion of the basic research is determination of the application conditions for our proposed technology in practice. Moreover, the basic research provides recommendations for the applied research in terms of the use in real composite airframe structures.

标准号: GB/T 35660.3-2021

摘要： 本文件定义了GB/T35660.1中的数据元素在具有4个分区存储结构的RFD标签中的编码规则，主要针对符合ISO/IEC18000-63（ISO/IEC18000-6类型C）的超高频RFID标签，但不仅限于这类技术的标签。对于从GB/T35660.1中抽取的数据元素子集，其编码规则遵循S0/IEC15962要求，即采用以对象标识符结构来标识数据元素的编码方式。考虑到不同的隐私要求，本文件定义了唯一馆藏标识在特定存储区01，即MB01内的编码规则，同时也定义了其他相关数据元素在另一独立存储区11，即MB11内的编码规则。各个存储区均可通过相应RFD技术的不同寻址指令来进行操作。本文件满足各种类型图书馆（如国家图书馆、学术图书馆、公共图书馆、企业图书馆、专业图书馆、学校图书馆等）应用RFID技术管理的需要。本文件提供了基于标准的有关RFD在图书馆应用的必要信息，关于实施中的相关附加信息见附录A。

摘要： This paper proposes a visual management scheme of medical things with a color-change radio frequency identification (RFID) tag. The color-change RFID tag employs a specific RFID tag integrated circuit (IC) and a laminated pH-indicating paper. The IC has energy harvesting and switched ground functions, which enable it to generate electricity to the laminated pH-indicating paper. This phenomenon causes electrolysis of NaCl solution absorbed in the laminated pH-indicating paper. Electrolysis generates alkaline matter to change the color of the pH-indicating paper. This paper gives a new and sensitive structure of the laminated pH-indicating paper. The proposed advanced color-change RFID tag with new laminated pH-indicating paper succeeds in changing its color noticeably at a 1 m distance using an RFID reader radiating 1 W radio waves. The color change was observed 3-5 s after starting radio wave irradiation. The results of this experiment also confirm that the changed color can be held for over 24 h. Furthermore, two demonstrations of the visual management system of medical things (patient clothes and sanitizers) are presented.

关键词： Indoor localization   passive RFID   feature extraction  

摘要： In this paper, we present a method that uses the signal strength indication of RFID antennas with statistical features to perform relative positioning in a smart home. The goal of the proposed method is to enable the tracking of most objects inside a smart home in real-time, allowing activity recognition based on this tracking. This paper also introduce a new dataset of 4 100 000 RFID data collected in a real full-scale smart home setting. The dataset is available for the community. The method has an accuracy of 95.5% which is similar to previous work but require a fifth of the time to compute.