Detection of empty hazelnuts from fully developed nuts by impact acoustics

Simple item page
buir.contributor.authorÇetin, A. Enis
buir.contributor.orcidÇetin, A. Enis|0000-0002-3449-1958
dc.contributor.authorOnaran, İbrahimen_US
dc.contributor.authorDülek, Berkanen_US
dc.contributor.authorPearson, T. C.en_US
dc.contributor.authorYardımcı, Y.en_US
dc.contributor.authorÇetin, A. Enisen_US
dc.coverage.spatialAntalya, Turkeyen_US
dc.date.accessioned2016-02-08T11:50:50Zen_US
dc.date.available2016-02-08T11:50:50Z
dc.date.issued2005en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionDate of Conference: 4-8 September 2005en_US
dc.descriptionConference Name: 13th European Signal Processing Conference, EUSIPCO 2005en_US
dc.description.abstractShell-kernel weight ratio is the main determinate of quality and price of hazelnuts. Empty hazelnuts and nuts containing undeveloped kernels may also contain mycotoxin producing molds, which can cause cancer. A prototype system was set up to detect empty hazelnuts by dropping them onto a steel plate and processing the acoustic signal generated when kernels impact the plate. The acoustic signal was processed by five different methods: 1) modeling of the signal in the time domain, 2) computing time domain signal variances in short time windows, 3) analysis of the frequency spectra magnitudes, 4) maximum amplitude values in short time windows, and 5) line spectral frequencies (LSFs). Support Vector Machines (SVMs) were used to select a subset of features and perform classification. 98% of fully developed kernels and 97% of empty kernels were correctly classified.en_US
dc.identifier.urihttp://hdl.handle.net/11693/27334
dc.language.isoEnglishen_US
dc.publisherIEEEen_US
dc.source.titleProceedings of the 13th European Signal Processing Conference, EUSIPCO 2005en_US
dc.subjectAcoustic signalsen_US
dc.subjectComputing timeen_US
dc.subjectFrequency spectraen_US
dc.subjectImpact acousticsen_US
dc.subjectLine spectral frequenciesen_US
dc.subjectMaximum amplitudeen_US
dc.subjectPrototype systemen_US
dc.subjectSteel platesen_US
dc.subjectTime domainen_US
dc.subjectTime windowsen_US
dc.subjectAcoustic wavesen_US
dc.subjectSignal detectionen_US
dc.subjectSupport vector machinesen_US
dc.titleDetection of empty hazelnuts from fully developed nuts by impact acousticsen_US
dc.typeConference Paperen_US

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Detection of empty hazelnuts from fully developed nuts by impact acoustics.pdf
Size:
206.11 KB
Format:
Adobe Portable Document Format
Description:
Full printable version
Download

Collections

Department of Electrical and Electronics Engineering