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Qingyun Dai

Researcher at Guangdong University of Technology

Publications -  70
Citations -  2092

Qingyun Dai is an academic researcher from Guangdong University of Technology. The author has contributed to research in topics: Computer science & Frequency domain. The author has an hindex of 17, co-authored 65 publications receiving 1781 citations. Previous affiliations of Qingyun Dai include Sun Yat-sen University.

Papers
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RFID-enabled real-time manufacturing execution system for mass-customization production

TL;DR: In this article, an RFID-enabled real-time manufacturing execution system (RT-MES) is proposed to track and trace manufacturing objects and collect realtime production data.
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A big data approach for logistics trajectory discovery from RFID-enabled production data

TL;DR: A holistic Big Data approach to excavate frequent trajectory from massive RFID-enabled shopfloor logistics data with several innovations highlighted is proposed, which are able to guide end-users to carry out associated decisions.
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Visualization of RFID-enabled shopfloor logistics Big Data in Cloud Manufacturing

TL;DR: An innovative RFID-Cuboid model is used for reconstructing the RFID raw data given the production logic and time series and lessons and insights from this case are meaningful for the implementation of IoT-enabled Cloud Manufacturing and Big Data analytics in industry field.
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Effective Denoising and Classification of Hyperspectral Images Using Curvelet Transform and Singular Spectrum Analysis

TL;DR: It has been proven that the proposed method is able to remove the undesirable artifacts introduced during the data acquisition process, and it has been shown that the classification performance is comparable with several recent spectral-spatial classification methods.
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Radio frequency identification-enabled real-time manufacturing execution system: a case study in an automotive part manufacturer

TL;DR: An industrial case study about the RFID implementation project at a typical SME engine valve manufacturer demonstrates that RFID is not just for automotive giants but also practically useful to SME suppliers.