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Pattern Recognition of Grating Perimeter Intrusion Behavior in Deep Learning Method
2021
Symmetry
An intrusion behavior recognition method based on deep learning is proposed in this paper in order to improve the recognition accuracy of raster perimeter intrusion behavior. The Mach–Zehnder fiber optic interferometer was used to collect the external vibration signal sensing unit, capture the external vibration signal, use the cross-correlation characteristic method to obtain the minimum frame length of the fiber vibration signal, and preprocess the intrusion signal according to the signal
doi:10.3390/sym13010087
fatcat:6df66emaljevredpe7op7oxg6u