所蔵: Human activities classification based on ?-OTDR system by utilizing gammatone filter cepstrum coefficient envelope using support vector machine

Human activities classification based on ?-OTDR system by utilizing gammatone filter cepstrum coefficient envelope using support vector machine

Intrusion into the critical energy assets area is a serious problem that may cause essential operations to be disrupted. Besides using closed-circuit television to detect early intrusion, perimeter fencing using fiber optic distributed acoustic sensing is becoming popular. This paper proposes a phas...

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主要な著者:	Saleh N.L., Faisal B., Yusri M.S., Sulaiman A.H., Ismail M.F., Nik Zulkefli N.A.H.A., Muhamud-Kayat S., Ismail A., Abdullah F., Jamaludin M.Z., Aripin N.M.
その他の著者:	57198797134
フォーマット:	論文
出版事項:	Elsevier Ltd 2024
主題:	Distributed acoustic sensor Energy infrastructure Gammatone filter cepstral coefficient Phase optical time-domain reflectometry Support vector machine Classification (of information) Feature extraction Permittivity measurement Reflection Reflectometers Signal to noise ratio Time domain analysis Acoustic Sensors Cepstral coefficients Energy infrastructures Gammatone filters Human activities Optical time domain reflectometry Support vectors machine Support vector machines
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Human activities classification based on ?-OTDR system by utilizing gammatone filter cepstrum coefficient envelope using support vector machine

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