Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/7682
DC FieldValueLanguage
dc.contributor.authorVujović, Vladimiren_US
dc.contributor.authorMaksimović, Mirjanaen_US
dc.contributor.authorPerišić, Brankoen_US
dc.contributor.authorMilošević, Vladimiren_US
dc.date.accessioned2019-09-30T09:03:40Z-
dc.date.available2019-09-30T09:03:40Z-
dc.date.issued2014-01-01-
dc.identifier.isbn9781479946945en_US
dc.identifier.urihttps://open.uns.ac.rs/handle/123456789/7682-
dc.description.abstractEffectiveness of communication is measured by speed, ease, and accuracy in which the information can be understood. From the cognitive aspect graphical presentations are usually more effective than textual ones, especially when communication between end-users and/or domain practitioners is concerned. Model-Driven Engineering (MDE) graphical tools have become extremely popular concerning the development of applications for a large number of domains. In this paper the emphasis is put on the design and implementation of Graphical Editor for RESTful Sensor Web Network in order to equip designers, with no expert knowledge in specific solution-domain, with a tool that would enable them to easily define tasks, specify network architecture and implement RESTful services. Based on the pilot sensor network design model, the verification, validation and proper functionality of proposed Graphical Editor are performed. © 2014 IEEE.en
dc.relation.ispartofSACI 2014 - 9th IEEE International Symposium on Applied Computational Intelligence and Informatics, Proceedingsen
dc.titleA graphical editor for RESTful sensor web networks modelingen_US
dc.typeConference Paperen_US
dc.identifier.doi10.1109/SACI.2014.6840036-
dc.identifier.scopus2-s2.0-84904207676-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/84904207676-
dc.description.versionUnknownen_US
dc.relation.lastpage66en
dc.relation.firstpage61en
item.grantfulltextnone-
item.fulltextNo Fulltext-
Appears in Collections:FTN Publikacije/Publications
Show simple item record

SCOPUSTM   
Citations

4
checked on Nov 20, 2023

Page view(s)

14
Last Week
11
Last month
0
checked on May 3, 2024

Google ScholarTM

Check

Altmetric


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