Improving event classification using Gammatone Filter for distributed acoustic sensing
Link to publisher's homepage at http://ijneam.unimap.edu.my
Saved in:
Main Authors: | , , , , , , , , |
---|---|
Other Authors: | |
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 |