Radio frequency identification (RFID) is a powerful automatic remote identification technique that has wide applications. To facilitate RFID deployment, an RFID benchmarking instrument called aGate has been invented to identify the strengths and weaknesses of different RFID technologies in various environments. However, the data acquired by aGate are usually complex time varying multidimensional 3D volumetric data, which are extremely challenging for engineers to analyze. In this paper, we introduce a set of visualization techniques, namely, parallel coordinate plots, orientation plots, a visual history mechanism, and a 3D spatial viewer, to help RFID engineers analyze benchmark data visually and intuitively. With the techniques, we further introduce two workflow procedures (a visual optimization procedure for finding the optimum reader antenna configuration and a visual analysis procedure for comparing the performance and identifying the flaws of RFID devices) for the RFID benchmarking, with focus on the performance analysis of the aGate system. The usefulness and usability of the system are demonstrated in the user evaluation.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1109/TVCG.2009.156 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Application of hybrid gate recurrent unit for in-store trajectory prediction based on indoor location system.
Sci Rep
January 2025
Faculty of Business and Commerce, Kansai University, Osaka, 5648680, Japan.
In field of location prediction, trajectory recognition is one of the most widely research issues. Since trajectory includes various information such as position, time, and speed, many scientific methods are applied to extracting meaningful features, and discovering valuable knowledges. This paper pays more attention on case study of in-store trajectory, and proposes a series of recurrent neural network (RNN) for location prediction based on trajectory.
View Article and Find Full Text PDFGlobal miniaturization of broadband antennas by prescreening and machine learning.
Sci Rep
November 2024
Networks and Communication Engineering Department, Al Ain University, 112612, Abu Dhabi, United Arab Emirates.
The development of contemporary electronic components, particularly antennas, places significant emphasis on miniaturization. This trend is driven by the emergence of technologies such as mobile communications, the internet of things, radio-frequency identification, and implantable devices. The need for small size is accompanied by heightened demands on electrical and field properties, posing a considerable challenge for antenna design.
View Article and Find Full Text PDFAn Efficient Early-breaking-estimation and Tree-splitting Missing RFID Tag Identification Protocol.
Sensors (Basel)
November 2023
College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China.
Retailers grapple with inventory losses primarily due to missing items, prompting the need for efficient missing tag identification methods in large-scale RFID systems. Among them, few works considered the effect of unexpected unknown tags on the missing tag identification process. With the presence of unknown tags, some missing tags may be falsely identified as present.
View Article and Find Full Text PDFEnhancing Security and Privacy in Healthcare Systems Using a Lightweight RFID Protocol.
Sensors (Basel)
June 2023
Faculty of Engineering, Free University Bozen-Bolzano, 39100 Bolzano, Italy.
Exploiting Radio Frequency Identification (RFID) technology in healthcare systems has become a common practice, as it ensures better patient care and safety. However, these systems are prone to security vulnerabilities that can jeopardize patient privacy and the secure management of patient credentials. This paper aims to advance state-of-the-art approaches by developing more secure and private RFID-based healthcare systems.
View Article and Find Full Text PDFRFID analysis of the complexity of cellular pathology workflow-An opportunity for digital pathology.
Front Med (Lausanne)
August 2022
Department of Cellular Pathology, Oxford University Hospitals NHS Trust, John Radcliffe Hospital, Oxford, United Kingdom.
Digital pathology (DP) offers potential for time efficiency gains over an analog workflow however, to date, evidence supporting this claim is relatively lacking. Studies available concentrate on specific workflow points such as diagnostic reporting time, rather than overall efficiencies in slide logistics that might be expected. This is in part a result of the complexity and variation in analog working, and the challenge therefore in capturing this.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!