RFID Research Articles

Detecting bias in abundance estimates of spawning fish from closed‐capture models using remote and physical capture data

AbstractObjectiveMixed‐data models incorporating remote antenna detections from PIT‐tagged fish together with physical capture data (mixed data) can improve precision of mark–recapture abundance estimates, particularly for spawning fish. However, if the entire population is not available for physical capture during the mark–recapture sampling period, abundance estimates will be biased low. Our objectives were to examine bias and precision of two modeling approaches and develop a simple diagnostic to determine whether the entire population was sampled.MethodsWe use a simulation modeling approach to compare specified abundances with abundance estimates from closed‐capture models using mixed data (the mixed‐data approach) and using only marked (e.g., PIT‐tagged) individuals divided by the proportion of individuals that are marked (proportional approach). We use the difference in bias between the two models as our diagnostic of whether a population was randomly sampled. We then applied our diagnostic to two case studies: a spawning population of adfluvial June Sucker Chasmistes liorus in Utah Lake, Utah, 2008–2020, and a spawning population of Bull Trout Salvelinus confluentus in the Imnaha River, a tributary of the Snake River, Oregon, 2013–2020.ResultSimulation experiments revealed that the mixed‐data approach became increasingly negatively biased as the proportion of the population that was unavailable for physical capture increased, yet the proportional approach remained unbiased. Abundance estimates from the proportional approach averaged approximately 6× greater for June Sucker and 2× greater for Bull Trout compared to the mixed‐data approach, suggesting a proportion of the population was not available for physical capture in both case studies.ConclusionUnderstanding the magnitude of bias in abundance estimates is particularly important for the management of imperiled species that are subject to recovery plans. Comparing estimates using the unbiased proportional approach that we described here with those from a mixed‐data approach when PIT tag detection data are used to estimate abundance is a straightforward method to evaluate bias in these estimates.

Rootstock Effects on Tomato Fruit Composition and Pollinator Preferences in Tomato

Food security is threatened by climate change and associated abiotic stresses that affect the flowering stage and the biochemistry of flowers and fruits. In tomato, managed insect pollination and grafting elite tomato varieties onto robust rootstocks are widely practiced commercially to enhance tomato crop profitability, particularly under suboptimal conditions. However, little is known about rootstock–pollinator interactions and their impact on the chemical composition of fruit. In this study, a commercial tomato F1 hybrid (Solanum lycopersicum L.) was self-grafted and grafted onto a set of experimental rootstocks and cultivated under optimal and saline (75 mM NaCl) conditions in the presence of managed bumblebee pollinators (Bombus terrestris). The number of visits (VN) and total visiting time (TVT) by pollinators to different grafted plants were monitored through an RFID (radio-frequency identification) tracking system, while targeted metabolites (hormones, sugars, and organic and amino acids) and mineral composition were analyzed in the fruit juice by UHPLC-MS and ICP-OES, respectively. Pollinator foraging decisions were influenced by the rootstocks genotype and salinity treatment. Experimental rootstocks predominantly increased pollinator attraction compared to the self-grafted variety. Interestingly, the pollinator parameters were positively associated with the concentration of abscisic acid, salicylic acid, malate and fumarate, and tyrosine in salinized fruits. Moreover, a high accumulation of sodium was detected in the fruits of the plants most visited by pollinators, while rootstock genotype-specific responses were found for nitrogen and potassium concentrations. In addition to the known effect on yield, these findings underscore the synergic interactions between rootstocks, pollinators, and environmental stressors on tomato fruit composition.

RFID-Based Respiration Monitoring Under Daily Body Motion Disturbances

Traditional respiratory monitoring methods typically use wearable sensors. In recent years, Radio Frequency Identification (RFID) tags have emerged as potential respiratory monitoring devices. However, existing research only detects respiration under static or simple body movements such as forward and backward motions, which limits the availability of RFID. In this article, an RFID-based respiratory monitoring system under body motion disturbances is proposed. In order to eliminate the effect of body movement on the signal, reference tags are placed on the user’s shoulders. The phase between different tags is calibrated and aligned to remove the discreteness. Then, a sliding window peak-seeking algorithm is designed to calculate respiratory rate over time. The system measures respiratory rate during daily exercise and maintains an accuracy of no less than 86.12%, even when influenced by lying down and turning. Additionally, the system can analyze estimated respiratory rates and intervals to provide alert information.

Transparent RFID tag wall enabled by artificial intelligence for assisted living

Current approaches to activity-assisted living (AAL) are complex, expensive, and intrusive, which reduces their practicality and end user acceptance. However, emerging technologies such as artificial intelligence and wireless communications offer new opportunities to enhance AAL systems. These improvements could potentially lower healthcare costs and reduce hospitalisations by enabling more effective identification, monitoring, and localisation of hazardous activities, ensuring rapid response to emergencies. In response to these challenges, this paper introduces the TransparentRFIDTag Wall (TRT-Wall), a novel system taht utilises a passive ultra-high frequency (UHF) radio-frequency identification (RFID) tag array combined with deep learning for contactless human activity monitoring. The TRT-Wall is tested on five distinct activities: sitting, standing, walking (in both directions), and no-activity. Experimental results demonstrate that the TRT-Wall distinguishes these activities with an impressive average accuracy of 95.6%\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$95.6\\%$$\\end{document} under four distinct distances (2, 2.5, 3.5 and 4.5 m) by capturing the RSSI and phase information. This suggests that our proposed contactless AAL system possesses significant potential to enhance elderly patient-assisted living.

Self-Aligned Ionic Doping of TiO2 Thin-Film Transistors for Enhanced Current Drivability via Postfabrication Superacid Treatment.

Oxide semiconductor thin-film transistors (TFTs) have shown great potential in emerging applications such as flexible displays, radio-frequency identification tags, sensors, and back-end-of-line compatible transistors for monolithic 3D integration beyond their well-established flat-plane display technology. To meet the requirements of these appealing applications, high current drivability is essential, necessitating exploration in materials science and device engineering. In this work, we report for the first time on a simple solution-based superacid (SA) treatment to enhance the current drivability of top-gate TiO2 TFTs with a gate-offset structure. The on-current of these transistors is limited by the relatively low mobility of TiO2 due to its d-orbital conduction nature. It is found that the on-current of TiO2 TFTs is nearly doubled via a quick dip in a SA solution at room temperature in ambient air. A series of experiments, including comparative I-V measurements of TFTs with different treatments and gate structures, C-V measurements, X-ray photoelectron spectroscopy, time-of-flight secondary ion mass spectrometry, and device simulation, were performed to uncover the underlying reason for the current enhancement. It is believed that the protons (H+) from SA are doped into the offset region of TiO2 TFTs, forming an electron double layer and thus boosting the on-current, with the top gate serving as a self-aligned mask for ionic doping. Furthermore, the ionic size and the proportion of the offset region to the channel play crucial roles in the effectiveness of ionic doping, while the position of the incorporated ions, whether in the channel or dielectric, may result in distinct shifts in the turn-on voltage (VON) and affect the functionality of ionic doping. This study provides a pathway for enhancing the current drivability of TiO2 TFTs via selective ionic doping enabled by SA treatment and deepens our understanding of ion incorporation in electronic devices. This approach could be applicable to other material systems and may also benefit TFTs with miniaturized dimensions, thus opening up unprecedented opportunities for TiO2 TFTs in future applications requiring high current drivability.

Exploring radio frequency identification tools for sustainable construction projects: a hybrid structural equation modeling and deep neural network approaches

Exploring radio frequency identification tools for sustainable construction projects: a hybrid structural equation modeling and deep neural network approaches

SP6.3 - Comparison of three new wireless non-radiation techniques for localization of non-palpable breast cancer - an updated systematic review and pooled meta-analysis

Abstract The method for finding non-palpable breast cancers has evolved due to technological advancements. New wire-free techniques have made implantation and retrieval easier with improved oncological outcomes. Although some evidences are available as to reduced requirement for re-operation with wireless techniques when compared to wire, in current clinical practice, the choice of selection amongst wireless technique depends on clinician preference and there is a lack of consensus. The objective of current systematic review and meta-analysis is to assess the clinical effectiveness between three new wireless non radiation localisation techniques, such as Magseed (Magnetic seed), Radiofrequency identification tag (RFID) and Savi-scout reflector localization from published literature over the last 3 years. Literature search as per PRISMA guidelines revealed twenty-six studies from 2020 to 2022 involving 6275 innovative agents analysing the 3 groups were identified. Statistical analysis using Medcalc software showed a pooled positive margin rate of 12.28% (95% CI, 10 -15%) and a re-excision rate of 11.29% (95%CI, 9 -14%) for all 3 innovative technique combined whereas studies that compare innovative techniques with wire, showed higher positive margin rate of 14.87% (95% CI, 12-18%) and re-excision rate of 16.23% (95% CI, 14-18%) for wire localization, along with considerable heterogeneity. In sub group analysis with Kruskal-Wallis test, there were no statistical significance for margin (p 0.797) and re-operation (p 0.464) rates between each group. Consolidated insertion and retrieval success for innovative group were 98.13% and 99.13% respectively. To establish the best localization approach, future RCT's will be required to assess quantitative cost-effective analyses.

Heart Rate Variability Estimation based on RFID Tag-Pair in Dynamic Environments

With the rapid development of smart healthcare, accurate Heart Rate Variability (HRV) estimation for the early detection of diseases has become a hot research topic. Advanced work uses the wireless signal to estimate the heartbeat in a contact-free way, which usually cannot separate multiple users or work in a dynamic environment. In this paper, we propose a lightweight heartbeat-sensing method based on RFID tag pairs, which focuses on HRV extraction in a more general sensing scenario. Based on the tag-pair design, we build a novel heartbeat and respiration model to describe the signal relationship between the two tags from the time and space domains. Based on the model, we propose a Calibrated Temporal-Spatial IQ-Shaping-based signal cancellation algorithm to cancel the respiration and extract the heartbeat. To remove the interference in dynamic measurement, we build an IQ-based signal model via a Principal Component Analysis-based interference estimation. To reduce the statistical error in HRV extraction, we further design a neural network to predict the HRV index. We have implemented a system prototype in a real environment with COTS RFID devices. Extensive experiments show that our system can achieve a median RMSSD error of 7.51ms, which satisfies the medical demand in HRV measurement.

Tomato Plant Residues, a Sustainable Fiber Source for Cardboard Packaging

Cardboard packaging is a good example of sustainable material use, yet even more sustainable solutions are available, such as replacing wood fibers with those from alternative sources like agricultural waste. In our research, we produced paperboard from fibers obtained from waste tomato stems using a pilot paper machine, and its basic, surface, and mechanical properties were then determined. Additionally, we produced corrugated cardboard from the tomato fiber-based paperboard and analyzed its performance under different environmental conditions. A comparative analysis was made with commercial corrugated cardboard to determine the differences in mechanical properties and the quality of the prints made using the flexographic printing technique. The results indicated that the properties of tomato fiber-based paperboard and corrugated cardboard are sufficient for many packaging applications. Analyses showed that the mechanical properties of both commercial and corrugated cardboard produced from tomato stems were affected by the environmental conditions, while the change in print quality was minor. Exposure to high humidity had a much greater effect than exposure to low temperature. High humidity lowered the tensile and bursting strength and resistance to compression, resulting in decreased strength and stiffness, while low temperature had a less severe effect. Nevertheless, corrugated cardboard made from tomato-based paperboard can be used for storage of fresh produce locally, as well as for transport packaging, provided the transport box is designed to address its poor stacking strength. The print quality of this cardboard is also suitable for transport packaging, and the readability of the UHF RFID tags remains satisfactory. The findings of this study have significant implications for the development of sustainable materials. The successful use of tomato stems, a waste product from agriculture, in the production of corrugated cardboard supports the circular economy by turning waste into a valuable resource.

Multilevel Printed Wearable Radio-Frequency Intelligent Identification Platform for Object Recognition.

As a noncontact target recognition technique, radio-frequency identification (RFID) technology demonstrates attractive potential in constructing human-machine interaction (HMI) systems. However, the current development of RFID technologies in HMI systems is hampered by critical challenges in manufacturing high-performance RFID readers with superior flexibility and wearing comfort. Hence, we propose a multilevel printing strategy to overcome the difficulties in manufacturing high-performance large-scale microwave systems. Compared to traditional processes, the RFID system fabricated by the hybrid additive manufacturing technique exhibits equivalent electromagnetic performance and has obvious advantages in terms of manufacturing cost and environmental friendliness. A printed reconfigurable antenna with intelligent radiation mode is seamlessly integrated with the reader circuit via a "one-step" printing technology. Additionally, through chemical doping and artificial intelligence (AI) prediction, we have developed a modified polydimethylsiloxane (PDMS) encapsulation to miniaturize the system volume and enhance reliability. Electromagnetic and mechanical measurements demonstrated that our flexible RFID platform offers superior reliability and stability during long-term daily use. The RFID platform possesses exceptional capabilities in target positioning and accurate identification, demonstrating unique potential in noncontact sensing and recognition, which are highly demanded by flexible and wearable HMI systems.

A novel testing method for ultra-low-frequency vibration signal based on passive radio frequency tag sensing.

Ultra-low-frequency vibration is prevalent in many critical research fields. Nevertheless, for ultra-low-frequency vibration signals below 1Hz, there is currently a lack of a cost-effective and efficient measurement method. A new ultra-low-frequency vibration signal testing method based on the passive radio frequency tag phase is proposed using the Radio Frequency Identification (RFID) sensing method. By employing vibration detection on ultra-low-frequency vibration signals, the effectiveness of the proposed approach across different frequencies is validated while thoroughly considering factors such as measurement range, precision, distance, and occlusion effects. The results indicate that this method can accurately measure ultra-low frequency vibration signals as low as 0.01Hz, with an average relative error of only less than 1.5% for all measurement results, and the error decreases with increasing detection frequency. For the measurement of a 1Hz vibration signal, the average relative error is less than 1%. In addition, the measurement accuracy remains unaffected by distance or occlusion. Sensitivity and stability tests are also conducted. Continuous monitoring for 8 hours demonstrates the excellent measurement stability of the proposed method. Finally, a performance comparison has been made with laser displacement sensors commonly used in non-contact ultra-low-frequency measurement methods. The results show that the RFID sensing method can detect lower vibration frequencies and has a larger amplitude measurement range and better environmental adaptability. Overall, for ultra-low-frequency vibration, this method offers advantages such as high precision, passive non-contact operation, non-line-of-sight path monitoring, affordability, and convenience. These attributes render it suitable for extensive application in various engineering scenarios requiring ultra-low-frequency vibration testing.

Securing high-value electronic equipment: an internet of things driven approach for camera security

<p>This article addresses pressing challenge of securing high-value electronic equipment, notably cameras, which face dual threats of damage in high humidity conditions and theft due to their significant market value. To confront these issues, the study introduces innovative internet of things (IoT)-driven approach aimed at strengthening conventional storage box security. Central to this approach is integration of IoT technologies, such as Arduino and ESP32, to develop advanced safety storage box. This enhanced system features essential hardware components, including buzzer, password-protected keypad, radio frequency identification reader, and DHT11 sensor for humidity monitoring. Additionally, mobile alarm system is incorporated to promptly alert owners of any detected movement vibrations, thereby augmenting security measures. By leveraging these components, proposed methodology seeks to mitigate risks associated with camera theft and fungal contamination, thereby advancing electronic device security. The expected outcome is marked enhancement in protection of high-value electronic equipment, particularly cameras, through continuous real-time monitoring and proactive security measures. This research underscore’s critical role of IoT technologies in fortifying security measures for valuable electronic assets, contributing significantly to ongoing discourse on innovative strategies in field. Through its comprehensive approach, this study aims to offer practical solutions to mitigate security risks and safeguard electronic equipment against potential threats, thereby addressing critical need in realm of electronic device security.</p>

A Lightweight Segmented RFID Tag Antenna With a Combined Ferrite Core for Underground Applications

A Lightweight Segmented RFID Tag Antenna With a Combined Ferrite Core for Underground Applications

MEDROBO: Automated Medicine Delivery and Patient Monitoring System

The research aims to develop an innovative solution to automate the delivery of medicine to patients and monitor their vital parameters in healthcare facilities. Traditional methods often rely on human interventions for medicine delivery and patient monitoring, leading to inefficiencies and potential errors. To address these challenges, the proposed study introduces a robotic system capable of line-following method and real-time health parameter monitoring. The core functionality of the system revolves around a robot equipped with various sensors. The robot navigates hospital corridors by following predefined lines, allowing it to reach patients’ rooms without human assistance. RFID tags attached to patient beds facilitate the robot in identifying and locating specific patients, ensuring accurate medicine delivery. Furthermore, the robot integrates vital sign monitoring capabilities, including heart rate, Spo2, blood pressure, and temperature.

Extended segmentectomy for intersegmental lesions with intraoperative surgical margin assessment by radiofrequency identification markers

ObjectiveWe developed a technique to determine deep surgical margins using radiofrequency identification markers. This study assessed the feasibility of this technique during extended segmentectomy of intersegmental lesions. MethodsA single-center, prospective, single-arm study was performed from 2020 to 2023. Small pulmonary lesions suspicious for malignancy locating the virtual intersegmental plane based on 3-dimensional imagery were included. Markers were placed in the vicinity of the lesions using electromagnetic navigation bronchoscopy. In addition to indocyanine green injection, surgeons used wireless signal strength to determine the best resection line without lung palpation to obtain surgical margins of 10 mm or the same size as the tumor. ResultsWe analyzed 75 lesions in 75 patients. Median lesion size and depth from the pleura were 12.0 mm and 23.6 mm, respectively. Three-dimensional imagery identified lesions at a median distance of 7.0 mm from the virtual intersegmental plane. The median marker-lesion and marker-virtual intersegmental plane distances were 5.8 mm and 4.9 mm, respectively. Complex segmentectomy was performed in 64 of 75 patients (85.3%). The indocyanine green and preoperative simulated intersegmental lines agreed in 92.0% (69/75). In 6 cases (8.0%), the resection line was determined using radiofrequency identification markers to obtain adequate margins because the indocyanine green undyed area was smaller than the preoperatively simulated one. In 1 patient, planned segmentectomy was converted to lobectomy because of a misplaced radiofrequency identification marker (1.3%). The successful tumor resection rate was 98.7%. The median surgical margin was 16.0 mm. ConclusionsUse of radiofrequency identification markers enabled precise extended segmentectomy with adequate surgical margins.

Rfid Technology in Library and Information Science

The radiofrequency identification system (RFID) makes it possible for devices like computers or machines to automatically recognize things, record metadata, or control certain targets. A technique called Radio Frequency Identification (RFID) makes it possible to identify objects without a direct line of sight. For administering the automated library and detecting theft, libraries are using the most recent technologies. The inventory, issuance, and return status of books, gadgets, and other objects in the library can all be monitored with the help of RFID systems. Additionally, it ensures that your library is secure and that no priceless resources are stolen from it. The library management system receives the ID number from the RFID system and uses it to retrieve the book, check it out, and produce a receipt. When a visitor returns a book, the tag responds with the ID number, and the system credits the user's account. The automated identification of library documents involved in a certain technical process requires reading data from the tag memory located in the working region of the RFID reader. Radio-frequency labels of the same type as the library labels but not those can also fall within the reading zone at the same time. Libraries must make sure that their RFID systems adhere to all applicable laws, keep them updated often, and instruct their employees and visitors on how to use them effectively.

Design and research of multi-information fusion RFID sensor for fruit and vegetable quality detection.

With the increasing demand for fruits and vegetables in the market, the development of cold chain logistics has put forward higher requirements for the quality of fruits and vegetables in storage. To ensure the freshness of fruits and vegetables during storage and transportation and avoid unnecessary loss, it is necessary to conduct real-time detection of their odor to ensure their quality. Therefore, based on nano-composite materials combined with Radio Frequency Identification (RFID) technology, this paper designs an integrated RFID sensor that can simultaneously detect temperature, carbon dioxide, and ethanol concentrations. The test results show that the sensor has a high sensitivity of 0.25dB/°C, 0.011dB/ppm, and 0.65MHz/ppm for detecting temperature, carbon dioxide, and ethanol concentration, respectively. The sensor also uses Printed Circuit Board (PCB) technology to make the sensor base, which has the advantages of low cost, easy portability, and mass production capability. The results obtained evidencethat the system meets the requirements of environmental monitoring for fruit and vegetable storage, runs stably, and has a high use value.

Smart Car Parking System

In this fast-growing economy, the number of vehicle users is growing tremendously, wasting a significant amount of time and fuel while searching for an available parking space. This work highlights the optimum utilization of parking slots without the physical intervention of humans by making use of an IoT-integrated embedded system. This study aimed to create a mobile application for car parking that uses NodeMCU as the Microcontroller, which is further integrated with Radio-Frequency Identification (RFID) and the Internet of Things (IoT) to detect available parking slots, saving people’s time. When combined with an interactive mobile application, this technology provides an efficient solution by highlighting the availability and occupancy of parking spaces as green and red, respectively. It contributes to enhancing the quality of life of people living in congested metropolitan cities by digitizing the conventional parking system.

Redefining Libraries with Technology: Radio Frequency Identification (RFID)

Redefining Libraries with Technology: Radio Frequency Identification (RFID)

Cite_Stema SA Atendansiya: Modernizing Cite Students Attendance System with RFID Technology

In an era of technological advancements, the traditional practice of recording attendance through pen and paper in educational institutions is giving way to innovative solutions. This project focused on developing and implementing a Radio-Frequency Identification (RFID) based attendance system in the College of Information Technology and Engineering, Notre Dame of Midsayap College, to address the challenges associated with the manual attendance process in school or departmental activities. The conventional penand-paper method has faced human error, time-consuming record-keeping, and limited accessibility. These limitations prompted the department to develop an RFID-based system to improve efficiency and enhance data accessibility. The RFID-based attendance system has the potential to revolutionize education and bring attendance management into line with modern digital technologies.