Improving event classification using Gammatone Filter for distributed acoustic sensing

Link to publisher's homepage at http://ijneam.unimap.edu.my

Saved in:
Bibliographic Details
Main Authors: B., Faisal, M. S., Yusri, A., Ismail, N. L., Saleh, M. F., Ismail, N. D., Nordin, A. H., Sulaiman, F., Abdullah, M. Z., Jamaludin
Other Authors: aiman@uniten.edu.my
Format: Article
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2022
Subjects:
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/75100
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Malaysia Perlis
Language: English
id my.unimap-75100
record_format dspace
spelling my.unimap-751002022-05-09T04:45:46Z Improving event classification using Gammatone Filter for distributed acoustic sensing B., Faisal M. S., Yusri A., Ismail N. L., Saleh M. F., Ismail N. D., Nordin A. H., Sulaiman F., Abdullah M. Z., Jamaludin aiman@uniten.edu.my Gammatone Frequency Cepstral Cepstrum (GFCC) Phase Optical Time Domain Reflectometry (Φ-OTDR) Support Vector Machine (SVM) Simple Differential (SD) Normalized Differential (ND) Link to publisher's homepage at http://ijneam.unimap.edu.my The phase optical time domain reflectometry (Φ-OTDR) system offers several advantages suitable for distributed acoustic sensing application. It has long sensing range, great antielectromagnetic interference, and high sensitivity towards environmental vibrations. However, as a sensor system, the Φ-OTDR is limited to only collecting environmental vibrations without providing more useful information such as the location and types of events happening around the sensing region. Therefore, it requires an extensive data processing system to distinguish between different events happening within the sensing regions. In this paper, Simple Differential and Normalized Differential method were used to extract perturbation event prior to classification process comprising data organization, features extraction, and classification outcome were implemented. Gammatone Frequency Cepstral Cepstrum were used to handcraft features for classification and were obtained using Gammatone Filter processing. Classification scheme based on Support Vector Machine (SVM) is use as classifier where accuracy score 100%. 2022-05-09T04:45:45Z 2022-05-09T04:45:45Z 2021-12 Article International Journal of Nanoelectronics and Materials, vol.14 (Special Issue), 2021, pages 325-332 1985-5761 (Printed) 1997-4434 (Online) http://dspace.unimap.edu.my:80/xmlui/handle/123456789/75100 http://ijneam.unimap.edu.my en Universiti Malaysia Perlis (UniMAP)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Gammatone Frequency Cepstral Cepstrum (GFCC)
Phase Optical Time Domain Reflectometry (Φ-OTDR)
Support Vector Machine (SVM)
Simple Differential (SD)
Normalized Differential (ND)
spellingShingle Gammatone Frequency Cepstral Cepstrum (GFCC)
Phase Optical Time Domain Reflectometry (Φ-OTDR)
Support Vector Machine (SVM)
Simple Differential (SD)
Normalized Differential (ND)
B., Faisal
M. S., Yusri
A., Ismail
N. L., Saleh
M. F., Ismail
N. D., Nordin
A. H., Sulaiman
F., Abdullah
M. Z., Jamaludin
Improving event classification using Gammatone Filter for distributed acoustic sensing
description Link to publisher's homepage at http://ijneam.unimap.edu.my
author2 aiman@uniten.edu.my
author_facet aiman@uniten.edu.my
B., Faisal
M. S., Yusri
A., Ismail
N. L., Saleh
M. F., Ismail
N. D., Nordin
A. H., Sulaiman
F., Abdullah
M. Z., Jamaludin
format Article
author B., Faisal
M. S., Yusri
A., Ismail
N. L., Saleh
M. F., Ismail
N. D., Nordin
A. H., Sulaiman
F., Abdullah
M. Z., Jamaludin
author_sort B., Faisal
title Improving event classification using Gammatone Filter for distributed acoustic sensing
title_short Improving event classification using Gammatone Filter for distributed acoustic sensing
title_full Improving event classification using Gammatone Filter for distributed acoustic sensing
title_fullStr Improving event classification using Gammatone Filter for distributed acoustic sensing
title_full_unstemmed Improving event classification using Gammatone Filter for distributed acoustic sensing
title_sort improving event classification using gammatone filter for distributed acoustic sensing
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2022
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/75100
_version_ 1738511706257096704