How to quantify animal activity from radio‐frequency identification (RFID) recordings
Sign Up to like & getrecommendations! Published in 2018 at "Ecology and Evolution"
DOI: 10.1002/ece3.4491
Abstract: Abstract Automated animal monitoring via radio‐frequency identification (RFID) technology allows efficient and extensive data sampling of individual activity levels and is therefore commonly used for ecological research. However, processing RFID data is still a largely… read more here.
Keywords: rfid data; identification rfid; radio frequency; frequency identification ... See more keywords
Spatial Perception of Tagged Cargo Using Fused RFID and CV Data in Intelligent Storage
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DOI: 10.1109/jiot.2022.3210203
Abstract: Radio-frequency identification (RFID) and computer vision (CV) technology are widely employed in intelligent storage systems for sensing, locating, identifying, and monitoring storage cargo. However, both of them have applicability scenarios and limitations. In this article,… read more here.
Keywords: cargo; intelligent storage; spatial perception; rfid data ... See more keywords
An RFID Data Matrices-Based Evaluation Method for Process Logistics State
Sign Up to like & getrecommendations! Published in 2019 at "Mathematical Problems in Engineering"
DOI: 10.1155/2019/1638031
Abstract: At present, radio frequency identification (RFID) technology has been widely applied in manufacturing industry. How to use collected RFID data to effectively evaluate process logistics state is an urgent problem. Firstly, process logistics state model… read more here.
Keywords: rfid data; process; logistics state; process logistics ... See more keywords
RFID Data Analysis and Evaluation Based on Big Data and Data Clustering
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/3432688
Abstract: The era people live in is the era of big data, and massive data carry a large amount of information. This study aims to analyze RFID data based on big data and clustering algorithms. In… read more here.
Keywords: data clustering; data extraction; big data; based big ... See more keywords