Szczegóły

Tytuł artykułu

Detection of Wood Boring Insects’ Larvae Based on the Acoustic Signal Analysis and the Artificial Intelligence Algorithm

Tytuł czasopisma

Archives of Acoustics

Rocznik

2017

Numer

No 1

Autorzy publikacji

Wydział PAN

Nauki Techniczne

Wydawca

Committee on Acoustics PAS, PAS Institute of Fundamental Technological Research, Polish Acoustical Society

Data

2017

Identyfikator

ISSN 0137-5075 ; eISSN 2300-262X

Referencje

Pence (1954), Detecting wood - boring insects electronic device devel - oped as aid in locating insects destructive to timber and wood products, California Agriculture, 5. ; Zorović (2015), Laser vibrometry as a diagnostic tool for detecting wood - boring beetle larvae of, Journal Pest Science, 88, 107, doi.org/10.1007/s10340-014-0567-5 ; Stirr (1999), Use of CT in De - tection of Internal Damage and Repair and Determi - nation of Authenticity in High - Quality Bowed Stringed Instruments, RadioGraphics, 19, 639, doi.org/10.1148/radiographics.19.3.g99ma09639 ; Mikołajska (2012), X - ray techniques in the investigation of a Gothic sculp - ture : The risen Christ, Nukleonika, 57, 627. ; Mankin (2004), Lar - son Acoustic system for in - sect detection in plant stems : comparisons of Cephus cinctus in wheat and Metamasius callizona in bromeli - ads of Agricultural and Urban, Journal Entomology, 21, 239. ; Kurek (2010), Support vector machine for fault diagnosis of the broken rotor bars of squirrel - cage induction motor, Neural Comput, 19, 557, doi.org/10.1007/s00521-009-0316-5 ; Fleming (2005), Noncontact ultra - sound detection of exotic insects in wood packing ma - terials Forest Products, Journal, 55, 33.

DOI

10.1515/aoa-2017-0007

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