Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Yikai Gong"'
Autor:
Yikai Gong, Martin Noël
Publikováno v:
CivilEng, Vol 5, Iss 1, Pp 169-190 (2024)
The finite element method was used to study the feasibility of concrete-filled, fiber-reinforced polymer tubes (CFFTs) for small-scale wind turbine towers in remote areas. Although CFFTs have been successfully employed for a variety of structural app
Externí odkaz:
https://doaj.org/article/54a54ac5743c440ea748ee3f8d917df3
Autor:
Yikai Gong, Ivo Widjaja, Christopher Bayliss, Muhammad S. Sarwar, Hossein Pursultani, Richard O. Sinnott, Andrew J. Bromage, Davis Marques, Ghazal Nogoorani, Philip Greenwood, Luca Morandini, Glenn Jayaputera, Gerson Galang, William Voorsluys
Publikováno v:
Journal of Grid Computing. 14:603-618
Big data technologies and a range of Government open data initiatives provide the basis for discovering new insights into cities; how they are planned, how they managed and the day-to-day challenges they face in health, transport and changing populat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57596ba86a6a8b3d7f4c804697ec5924
https://doi.org/10.1007/s10723-016-9372-0
https://doi.org/10.1007/s10723-016-9372-0
Publikováno v:
UCC Companion
Urban traffic analysis and monitoring is increasingly important with the seemingly, never ending population growth taking place in our cities. Most official work in this area utilizes real traffic data such as vehicle trajectories collected by mobile
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ca492d509adbbd3b12fae88114edf45
https://doi.org/10.1109/ucc-companion.2018.00047
https://doi.org/10.1109/ucc-companion.2018.00047
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319936970
ICCS (1)
ICCS (1)
Clustering algorithms are essential for many big data applications involving point-based data, e.g. user generated social media data from platforms such as Twitter. One of the most common approaches for clustering is DBSCAN. However, DBSCAN has numer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5584a63575afa11d652e3e2bc6cf6c10
https://doi.org/10.1007/978-3-319-93698-7_40
https://doi.org/10.1007/978-3-319-93698-7_40
Publikováno v:
UCC (Companion")
Big data is a popular research topic that has brought about a range of new IT challenges and opportunities. The transport domain is one area that has much to benefit from big data platforms. It requires capabilities for processing voluminous amounts
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a52d72fd962ed52a9d3618bff382ae1f
https://doi.org/10.1145/3147234.3151010
https://doi.org/10.1145/3147234.3151010
Publikováno v:
BigComp
Nowadays, more and more data are being generated and collected. This is especially so in our cities. Big data as a popular research topic has brought about a range of new challenges that must to be tackled to support both commercial and research dema
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3c9a803b3794f78b07246ccb24ce2a1
https://doi.org/10.1109/bigcomp.2017.7881699
https://doi.org/10.1109/bigcomp.2017.7881699
Publikováno v:
UCUI@CIKM
Transport congestion is an increasing problem especially for larger cities. Typically traffic conditions are monitored in Australia by state and/or federal authorities using expensive electronic devices/sensors on roads or through CCTV cameras. Howev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3cef7f3867918be485fcd5185e907782
https://doi.org/10.1145/2811271.2811276
https://doi.org/10.1145/2811271.2811276
Autor:
Rosana Rabanal, Richard O. Sinnott, Davis Marques, Yikai Gong, William Voorsluys, Hossein Pursultani, Glenn Jayaputera, Gerson Galang, Ghazal Nogoorani, Luca Morandini, Ivo Widjaja, Christopher Bayliss, Marcos Nino-Ruiz, P. Greenwood, M. Sarwar, Andrew J. Bromage
Publikováno v:
IRI
Many/most of the challenges facing urban researchers and indeed policy makers relate to discovery of, access to and subsequent use of heterogeneous urban data sets. These data are typically held by a myriad of government agencies (local, State and Fe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::530e83848a3dbc6b6cc4a283f58a601d
https://doi.org/10.1109/iri.2015.24
https://doi.org/10.1109/iri.2015.24
Publikováno v:
HPCC/CSS/ICESS
The Australian Urban Research Infrastructure Network (AURIN -- www.aurin.org.au) project is a federally funded initiative across Australia that is focused on development and delivery of an advanced Cloud-based platform for research into the many chal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b08546149ab4880ac3622fb2e8fb54f
https://doi.org/10.1109/hpcc-css-icess.2015.80
https://doi.org/10.1109/hpcc-css-icess.2015.80