A Deep Learning Approach for Blind Drift Calibration of Sensor Networks
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2017.2703885
Abstract: Temporal drift of sensory data is a severe problem impacting the data quality of wireless sensor networks (WSNs). With the proliferation of large-scale and long-term WSNs, it is becoming more important to calibrate sensors when… read more here.
Keywords: drift calibration; deep learning; sensor networks; calibration ... See more keywords
Drift calibration method of Fabry-Perot filters using two-stage decomposition and hybrid modeling.
Sign Up to like & getrecommendations! Published in 2023 at "Optics express"
DOI: 10.1364/oe.480701
Abstract: Although tunable Fabry-Perot (F-P) filters are widely acknowledged as fiber Bragg grating (FBG) demodulators, F-P filters exhibit drift error when subjected to ambient temperature and piezo-electrical transducer (PZT) hysteresis. To address the drift issue, the… read more here.
Keywords: drift calibration; two stage; decomposition; stage decomposition ... See more keywords