Publication:
Improving Event Classification Using Gammatone Filter For Distributed Acoustic Sensing

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dc.contributor.authorFaisal B.en_US
dc.contributor.authorYusri M.S.en_US
dc.contributor.authorIsmail A.en_US
dc.contributor.authorSaleh N.L.en_US
dc.contributor.authorIsmail M.F.en_US
dc.contributor.authorNordin N.D.en_US
dc.contributor.authorSulaiman A.H.en_US
dc.contributor.authorAbdullah F.en_US
dc.contributor.authorJamaludin M.Z.en_US
dc.contributor.authorid57209973264en_US
dc.contributor.authorid57480859600en_US
dc.contributor.authorid36023817800en_US
dc.contributor.authorid57198797134en_US
dc.contributor.authorid57211721986en_US
dc.contributor.authorid57217851042en_US
dc.contributor.authorid36810678100en_US
dc.contributor.authorid56613644500en_US
dc.contributor.authorid57216839721en_US
dc.date.accessioned2023-05-29T09:05:17Z
dc.date.available2023-05-29T09:05:17Z
dc.date.issued2021
dc.description.abstractThe phase optical time domain reflectometry (?-OTDR) system offers several advantages suitable for distributed acoustic sensing application. It has long sensing range, great anti-electromagnetic interference, and high sensitivity towards environmental vibrations. However, as a sensor system, the ?-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%. � 2021, Universiti Malaysia Perlis. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.epage332
dc.identifier.issueSpecial Issue InCAPE
dc.identifier.scopus2-s2.0-85126120319
dc.identifier.spage325
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85126120319&partnerID=40&md5=147a0815b2c4c465d85b105afa665bde
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25852
dc.identifier.volume14
dc.publisherUniversiti Malaysia Perlisen_US
dc.sourceScopus
dc.sourcetitleInternational Journal of Nanoelectronics and Materials
dc.titleImproving Event Classification Using Gammatone Filter For Distributed Acoustic Sensingen_US
dc.typeNoteen_US
dspace.entity.typePublication
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