SynopCity Virtual HUB-A Testbed for Smart Cities
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F18%3A00326902" target="_blank" >RIV/68407700:21260/18:00326902 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/8345203" target="_blank" >https://ieeexplore.ieee.org/document/8345203</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/MITS.2018.2806642" target="_blank" >10.1109/MITS.2018.2806642</a>
Alternative languages
Result language
angličtina
Original language name
SynopCity Virtual HUB-A Testbed for Smart Cities
Original language description
The paper introduces a framework of a platform called SynopCity Virtual HUB (SVH) serving as a tool either for collaborative design and learning approach (CDLA), or as cooperative intelligent system (CIS). HUB in this concept represents a connection between a physical and virtual place, social and physical system networks collecting and exchanging data and space to exploring behavior of processes inside and outside of cities and surroundings and finding possible solutions.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
<a href="/en/project/EF15_003%2F0000466" target="_blank" >EF15_003/0000466: Artificial Intelligence and Reasoning</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE Intelligent Transportation Systems Magazine
ISSN
1939-1390
e-ISSN
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Volume of the periodical
10
Issue of the periodical within the volume
2
Country of publishing house
US - UNITED STATES
Number of pages
8
Pages from-to
50-57
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85046023242