Show simple item record

dc.contributor.authorShanmuganathan, S
dc.contributor.authorIbrahim, R
dc.contributor.authorBakori, SHB
dc.date.accessioned2014-12-17T22:42:28Z
dc.date.available2014-12-17T22:42:28Z
dc.date.copyright2014-11-18
dc.identifier.citation6th International Conference on Information Technology and Multimedia at UNITEN (ICIMµ 2014) held at Marriott Putrajaya Hotel, IOI Resort City Sepang Utara 62502 Malaysia, 2014-11-18 to 2014-11-20, published in: Proceedings of 6th International Conference on Information Technology and Multimedia at UNITEN (ICIMµ 2014), pp.243 - 248 (6)
dc.identifier.urihttp://hdl.handle.net/10292/8247
dc.description.abstractExposure to airborne wood (hard and soft) dust can lead to a number of diseases, such as asthma, emphysema, bronchitis and upper respiratory tract cancers, lately even proven to be linked to elevated risks for chromosomal instability in cells of the aerodigestive tract. In this context, the paper investigated the particulate wood dust concentrations in a university environment near a timber mill using a data mining approach consisting of JRip, J48 algorithms and a multilayer perceptron (MLP). The data collected consists of particulate wood concentrations and related atmospheric conditions recorded over a few days at four different locations within the university situated next to the timber mill. The results reveal that ORICC is the location most exposed to high concentrations of wood dust (up to 1.57 MG/M3 at times). This exceeds the recommended exposure limit of 1 MG/M3 for humans if the dust particles were of hardwood hence, more tests are recommended to establish the airborne particulate wood dust composition from the factory.
dc.publisherInternational Conference on Information Technology and Multimedia at UNITEN (ICIMu 2014)
dc.relation.urihttp://icimu.uniten.edu.my/index.php/downloads/online-proceedings
dc.rightsNOTICE: this is the author’s version of a work that was accepted for publication. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication.
dc.subjectWEKA
dc.subjectJ48
dc.subjectJRIP
dc.titleA data mining approach to analysing airborne wood particulate concentration and atmospheric data
dc.typeConference Contribution
dc.rights.accessrightsOpenAccess
aut.relation.endpage248
aut.relation.pages6
aut.relation.startpage243
pubs.elements-id175389


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record