Liu et al., 2022 - Google Patents

Intrusion identification using GMM-HMM for perimeter monitoring based on ultra-weak FBG arrays

Liu et al., 2022

View HTML @Full View
Document ID
11899428879363276221
Author
Liu F
Zhang H
Li X
Li Z
Wang H
Publication year
Publication venue
Optics Express

External Links

Snippet

Intrusion identification has been an intractable task for perimeter security. One of the primary challenges is to possess high identification rate over a long-distance range monitoring. This paper proposes an intrusion identification scheme based on ultra-weak fiber Bragg grating …
Continue reading at opg.optica.org (HTML) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/3061Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based models
    • G06N5/02Knowledge representation
    • G06N5/022Knowledge engineering, knowledge acquisition
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints

Similar Documents

Publication Publication Date Title
Xu et al. Pattern recognition based on time-frequency analysis and convolutional neural networks for vibrational events in φ-OTDR
Li et al. Fiber distributed acoustic sensing using convolutional long short-term memory network: a field test on high-speed railway intrusion detection
Kandamali et al. Machine learning methods for identification and classification of events in ϕ-OTDR systems: a review
Liu et al. Intrusion identification using GMM-HMM for perimeter monitoring based on ultra-weak FBG arrays
Wang et al. Practical multi-class event classification approach for distributed vibration sensing using deep dual path network
Barrios et al. Exponentiated Weibull distribution family under aperture averaging for Gaussian beam waves
Marie et al. Pattern recognition algorithm and software design of an optical fiber vibration signal based on Φ-optical time-domain reflectometry
Jia et al. Event Identification by F-ELM Model for $\varphi $-OTDR Fiber-Optic Distributed Disturbance Sensor
Marie et al. A research on fiber-optic vibration pattern recognition based on time-frequency characteristics
Beason et al. Comparison of probability density functions for aperture-averaged irradiance fluctuations of a Gaussian beam with beam wander
Liu et al. Classifying tunnel anomalies based on ultraweak FBGs signal and transductive RVM combined with Gaussian mixture model
Badavath et al. Speckle-based structured light shift-keying for non-line-of-sight optical communication
Zhu et al. One-dimensional sensor learns to sense three-dimensional space
Liu et al. Single and composite disturbance event recognition based on the DBN-GRU network in φ-OTDR
Li et al. Vibration monitoring for the West-East Gas Pipeline Project of China by phase optical time domain reflectometry (phase-OTDR)
Mi et al. Intrusion behavior classification method applied in a perimeter security monitoring system
Védrenne et al. C n 2 profile measurement from Shack-Hartmann data
Kayan et al. Intensity and phase stacked analysis of a Φ-OTDR system using deep transfer learning and recurrent neural networks
Shi et al. Footsteps detection and identification based on distributed optical fiber sensor and double-YOLO model
Cheng et al. Dual-model hybrid pattern recognition method based on a fiber optic line-based sensor with a large amount of data
Yu et al. Heterogeneous Graph Convolutional Network‐Based Dynamic Rumor Detection on Social Media
Shi et al. Event recognition method based on feature synthesizing for a zero-shot intelligent distributed optical fiber sensor
Qu et al. AdaBoost-SCN algorithm for optical fiber vibration signal recognition
Huang et al. Pattern recognition using self-reference feature extraction for φ-OTDR
Liu et al. Vehicle identification using deep learning for expressway monitoring based on ultra-weak FBG arrays