Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/794
Full metadata record
DC FieldValueLanguage
dc.contributor.authorEGGHE, Leo-
dc.contributor.authorROUSSEAU, Ronald-
dc.date.accessioned2005-05-31T13:55:53Z-
dc.date.available2005-05-31T13:55:53Z-
dc.date.issued2001-
dc.identifier.citationMathematical and Computer Modelling, 33(8-9). p. 943-955-
dc.identifier.issn0895-7177-
dc.identifier.urihttp://hdl.handle.net/1942/794-
dc.description.abstractCoding of the ISBN and ISSN is studied, and possible alternatives, not all equivalent to the official ones, are formulated. A minimum requirement for a useful code is that all single errors as well as all permutations of two symbols must be detectable. The strength of alternative codes, in particular with respect to the detection of double errors, is investigated. We give a complete description of the method based on division by 11 (the ISO norm). In this case, we are also able to describe the power of the method with respect to the detection of three or four errors. We show that, using division by 11, all coding methods detect the same percentage of errors. In case larger prime numbers are used as a divisor, numerical experiments were performed showing that different methods have different detection capabilities for double errors. The best methods are experimentally determined.-
dc.format.extent515363 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoen-
dc.publisherElsevier-
dc.subject.otherISBN; ISSN; Check digit(s); Error detection; Double errors-
dc.titleThe detection of double errors in ISBN- and ISSN-like codes-
dc.typeJournal Contribution-
dc.identifier.epage955-
dc.identifier.issue8-9-
dc.identifier.spage943-
dc.identifier.volume33-
local.bibliographicCitation.jcatA1-
local.type.refereedRefereed-
local.type.specifiedArticle-
dc.bibliographicCitation.oldjcatA1-
dc.identifier.doi10.1016/S0895-7177(00)00291-0-
dc.identifier.isi000168025000010-
item.fulltextWith Fulltext-
item.contributorEGGHE, Leo-
item.contributorROUSSEAU, Ronald-
item.fullcitationEGGHE, Leo & ROUSSEAU, Ronald (2001) The detection of double errors in ISBN- and ISSN-like codes. In: Mathematical and Computer Modelling, 33(8-9). p. 943-955.-
item.validationecoom 2002-
item.accessRightsOpen Access-
crisitem.journal.issn0895-7177-
Appears in Collections:Research publications
Files in This Item:
File Description SizeFormat 
detectionofdouble.pdfNon Peer-reviewed author version503.28 kBAdobe PDFView/Open
detection 1.pdfPublished version946.96 kBAdobe PDFView/Open
Show simple item record

Page view(s)

120
checked on Sep 7, 2022

Download(s)

176
checked on Sep 7, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.