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| 003 | FR-PaOEC | ||
| 005 | 20211006062617.0 | ||
| 006 | a o d i | ||
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| 008 | 190601s2017 ||| o i|0| 0 eng d | ||
| 035 | _a(FR-PaOEC) | ||
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_aFR-PaOEC _cES-MaONT |
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| 100 | 1 |
_aPalaniswami, Marimuthu _93375 |
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| 245 | 1 | 0 |
_aReal-time monitoring of the Great Barrier Reef using Internet of Things with big data analytics / _cMarimuthu Palaniswami, Aravinda S. Rao and Scott Bainbridge |
| 260 |
_aGeneva : _bInternational Telecommunication Union, _c2017. |
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| 300 | _a10 p. | ||
| 336 |
_atexto (visual) _2isbdcontent |
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| 337 |
_aelectrónico _2isbdmedia |
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| 338 |
_arecurso en línea _2rdacarrier |
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| 520 | 3 | _aThe Great Barrier Reef (GBR) of Australia is the largest size of coral reef system on the planet stretching over 2300 kilometers. Coral reefs are experiencing a range of stresses including climate change, which has resulted in episodes of coral bleaching and ocean acidification where increased levels of carbon dioxide from the burning of fossil fuels are reducing the calcification mechanism of corals. In this article, we present a successful application of big data analytics with Internet of Things (IoT)/wireless sensor networks (WSNs) technology to monitor complex marine environments of the GBR. The paper presents a two-tiered IoT/WSN network architecture used to monitor the GBR and the role of artificial intelligence (AI) algorithms with big data analytics to detect events of interest. The case study presents the deployment of a WSN at Heron Island in the southern GBR in 2009. It is shown that we are able to detect Cyclone Hamish patterns as an anomaly using the sensor time series of temperature, pressure and humidity data. The article also gives a perspective of AI algorithms from the viewpoint to monitor, manage and understand complex marine ecosystems. The knowledge obtained from the large-scale implementation of IoT with big data analytics will continue to act as a feedback mechanism for managing a complex system of systems (SoS) in our marine ecosystem. | |
| 650 | 0 |
_aTecnologías habilitadoras digitales _918 |
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| 653 | 4 | _aScience and Technology | |
| 700 | 1 |
_aRao, Aravinda S. _93376 |
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| 700 | 1 |
_aBainbridge, Scott _93377 |
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| 773 | 0 |
_04843 _tITU Journal: ICT Discoveries _gVol. 2018, no. 1, p. 23-32 _q2018:1<23 _x2616-8375 |
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| 856 | 4 | 0 |
_aitu-ilibrary.org _uhttps://www.itu.int/dms_pub/itu-s/opb/journal/S-JOURNAL-ICTS.V1I1-2017-3-PDF-E.pdf _yAcceso al documento _x0 _qpdf |
| 942 |
_cART _2udc |
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