Interpreting and modeling baggage handling systems as a system of systems Khosravi, Abbas, Nahavandi, Saeid and Creighton, Doug 2009, Interpreting and modeling baggage handling systems as a system of systems, in ICIT 2009 : Future technology in service of regional industry : Proceedings of the IEEE Industrial Tecnology 2009 international conference, IEEE, Piscataway, N. J., pp. 1-6, doi: 10.1109/ICIT.2009.4939627. Attached Files Name Description MIMEType Size Downloads nahavandi-interpretingandmodeling-2009.pdf Published version application/pdf 134.03KB 640 Title Interpreting and modeling baggage handling systems as a system of systems Author(s) Khosravi, Abbas orcid.org/0000-0001-6927-0744 Nahavandi, Saeid orcid.org/0000-0002-0360-5270 Creighton, Doug orcid.org/0000-0002-9217-1231 Conference name IEEE Industrial Technology. International Conference (2009 : Gippsland, Victoria) Conference location Gippsland, Victoria Conference dates 10 - 13 Feb. 2009 Title of proceedings ICIT 2009 : Future technology in service of regional industry : Proceedings of the IEEE Industrial Tecnology 2009 international conference Editor(s) [Unknown] Publication date 2009 Conference series IEEE Industrial Technology International Conference Start page 1 End page 6 Total pages 6 Publisher IEEE Place of publication Piscataway, N. J. Summary The topic of systems of systems has been one of the most challenging areas in science and engineering due to its multidisciplinary scope and inherent complexity. Despite all attempts carried out so far in both academia and industry, real world applications are far remote. The purpose of this paper is to modify and adopt a recently developed modeling paradigm for system of systems and then employ it to model a generic baggage handling system of an airport complex. In a top-down design approach, we start modeling process by definition of some modeling goals that guide us in selection of some high level attributes. Then functional attributes are defined which act as ties between high level attributes (the first level of abstraction) and low level metrics/measurements. Since the most challenging issues in developing models for system of systems are identification and representation of dependencies amongst constituent entities, a machine learning technique is adopted for addressing these issues. Notes ©2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. ISBN 9781424435050 Language eng DOI 10.1109/ICIT.2009.4939627 Field of Research 080602 Computer-Human Interaction Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences HERDC Research category E1 Full written paper - refereed Copyright notice ©2009, IEEE Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30029266 Document type: Conference Paper Collections: Centre for Intelligent Systems Research Open Access Collection Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Fri, 11 Jun 2010, 20:39:35 EST Fri, 11 Jun 2010, 20:44:22 EST Mon, 14 Jun 2010, 08:27:16 EST Mon, 14 Jun 2010, 11:36:35 EST Mon, 14 Jun 2010, 11:38:52 EST Wed, 08 Sep 2010, 11:02:45 EST Fri, 16 Mar 2012, 18:09:13 EST Wed, 02 Jul 2014, 11:20:01 EST Wed, 02 Jul 2014, 15:04:09 EST Mon, 21 Jul 2014, 10:30:56 EST Fri, 17 Oct 2014, 10:25:14 EST Wed, 21 Oct 2015, 17:03:53 EST Tue, 17 Nov 2015, 14:15:44 EST Tue, 06 Sep 2016, 15:39:14 EST Tue, 05 Dec 2017, 09:16:18 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 2 times in Scopus Search Google Scholar Access Statistics: 669 Abstract Views, 648 File Downloads  -  Detailed Statistics Created: Fri, 11 Jun 2010, 20:39:33 EST by facadmin

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.