dc.contributor.advisor | Cahill, Vinny | |
dc.contributor.author | Harrington, Anthony Christopher | |
dc.date.accessioned | 2019-11-06T14:58:02Z | |
dc.date.available | 2019-11-06T14:58:02Z | |
dc.date.issued | 2010 | |
dc.identifier.citation | Anthony Christopher Harrington, 'Model-driven engineering of planning and optimisation algorithms for pervasive computing environments', [thesis], Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2010, pp 286 | |
dc.identifier.other | THESIS 9340 | |
dc.description.abstract | This thesis addresses the development of that class of pervasive computing applications
that can be modelled as real-world planning and optimisation problems. Canonical examples of such applications are the control of transportation infrastructures, activities such as region-wide pollution monitoring and emergency-service management. The formal foundations of planning and optimisation problems are well established, however applying
these techniques to pervasive computing applications is still a challenging task. | |
dc.format | 1 volume | |
dc.language.iso | en | |
dc.publisher | Trinity College (Dublin, Ireland). School of Computer Science & Statistics | |
dc.relation.isversionof | http://stella.catalogue.tcd.ie/iii/encore/record/C__Rb14876709 | |
dc.subject | Computer Science, Ph.D. | |
dc.subject | Ph.D. Trinity College Dublin. | |
dc.title | Model-driven engineering of planning and optimisation algorithms for pervasive computing environments | |
dc.type | thesis | |
dc.type.supercollection | thesis_dissertations | |
dc.type.supercollection | refereed_publications | |
dc.type.qualificationlevel | Doctoral | |
dc.type.qualificationname | Doctor of Philosophy (Ph.D.) | |
dc.rights.ecaccessrights | openAccess | |
dc.format.extentpagination | pp 286 | |
dc.description.note | TARA (Trinity’s Access to Research Archive) has a robust takedown policy. Please contact us if you have any concerns: rssadmin@tcd.ie | |
dc.identifier.uri | http://hdl.handle.net/2262/90207 | |