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dc.contributor.authorGutschmidt, Sen_US
dc.contributor.authorMcGuinness, Men_US
dc.contributor.authorMunn, Wen_US
dc.contributor.authorHannam, Jen_US
dc.contributor.authorGreenbank, Een_US
dc.contributor.authorJeon, Sen_US
dc.contributor.authorLee, C-Oen_US
dc.contributor.authorKueh, Cen_US
dc.contributor.authorGibb, Ten_US
dc.contributor.authorGoodger, Ben_US
dc.contributor.authorMcIntyre, Aen_US
dc.contributor.editorWake, Gen_US
dc.contributor.editorRoberts, AJen_US
dc.coverage.spatialVictoria University of Wellingtonen_US
dc.date.accessioned2019-03-04T00:46:03Z
dc.date.available2018-05-27en_US
dc.date.available2019-03-04T00:46:03Z
dc.date.issued2018-05-27en_US
dc.identifier.citationANZIAM Journal - Proceedings of the 2016 Mathematics and Statistics in Industry NZ Study Group, MINZ-2016, 2018, 58 pp. M328 - M364en_US
dc.identifier.issn1445-8810en_US
dc.identifier.urihttp://hdl.handle.net/10179/14368
dc.description.abstractWe consider an industrial problem brought to the Mathematics in Industry New Zealand study group in 2016, where items pass briefly over load cells resulting in a noisy oscillatory signal, from which the mass of the item is to be computed. We compare results obtained using a single load cell for one piece of fruit, with results from passing over two load cells in tandem or in succession with fruit on multiple keys. We develop mathematical models to assist with the computation of total load mass, considering both deterministic and statistical approaches. The fitting of simple harmonic motion plus a step function exhibits the possibility of rapid estimates of load mass. We find that using multiple keys to measure the weight of a fruit provides more accurate results than using the single-key method.en_US
dc.format.extentM328 - M364en_US
dc.publisherAustralian Mathematical Societyen_US
dc.relation.urihttps://journal.austms.org.au/ojs/index.php/ANZIAMJ/article/view/12222/2102en_US
dc.source2016 Mathematics and Statistics in Industry NZ Study Groupen_US
dc.titleFast accurate multi-key weight measurementen_US
dc.typeConference Paper
dc.citation.volume58en_US
dc.identifier.doi10.21914/anziamj.v58i0.12222en_US
dc.description.confidentialfalseen_US
dc.identifier.elements-id420591
dc.relation.isPartOfANZIAM Journal - Proceedings of the 2016 Mathematics and Statistics in Industry NZ Study Group, MINZ-2016en_US
pubs.organisational-group/Massey University
pubs.organisational-group/Massey University/College of Sciences
dc.identifier.harvestedMassey_Dark
pubs.notesNot knownen_US


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