Will Internet of Things flood DGSS with data? Zaslavsky, Arkady 2013, Will Internet of Things flood DGSS with data?, in 2013 IEEE 29th International Conference on Data Engineering Workshops (ICDEW), IEEE,, pp. 152-152, doi: 10.1109/ICDEW.2013.6547444. Attached Files Name Description MIMEType Size Downloads Title Will Internet of Things flood DGSS with data? Author(s) Zaslavsky, Arkady orcid.org/0000-0003-1990-5734 Conference name 2013 IEEE 29th International Conference on Data Engineering Workshops (ICDEW) Conference location Brisbane, Australia Conference dates 2013/04/08 - 2013/04/12 Title of proceedings 2013 IEEE 29th International Conference on Data Engineering Workshops (ICDEW) Publication date 2013 Start page 152 End page 152 Total pages 1 Publisher IEEE Summary The Internet of Things (IoT) is part of Future Internet and will comprise many billions of Internet Connected Objects (ICO) or 'things' where things can sense, communicate, compute and potentially actuate as well as have intelligence, multimodal interfaces, physical/virtual identities, attributes. IoT incorporates most concepts from pervasive, ubiquitous and ambient computing which have become very popular in recent years [1]. The IoT fuses digital and physical worlds by bringing different concepts and technical components together. © 2013 IEEE. Notes Books of abstracts only ISBN 9781467353021 ISSN 1084-4627 DOI 10.1109/ICDEW.2013.6547444 Indigenous content off HERDC Research category E3.1 Extract of paper Persistent URL http://hdl.handle.net/10536/DRO/DU:30123715 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version Go to link with your DU access privileges   Connect to Elements publication management system 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. Versions Version Filter Type Thu, 27 Jun 2019, 14:49:02 EST Thu, 27 Jun 2019, 15:56:11 EST Mon, 08 Jul 2019, 13:51:57 EST Tue, 09 Jul 2019, 06:02:30 EST Sun, 07 Nov 2021, 12:33:45 EST Sun, 07 Nov 2021, 13:19:31 EST Sun, 07 Nov 2021, 13:33:43 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 1 times in Scopus Search Google Scholar Access Statistics: 12 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Mon, 08 Jul 2019, 13:51:57 EST