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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hao Wang Osen, O.L. Guoyuan Li Wei Li Hong-Ning Dai Wei Zeng |
| Copyright Year | 2015 |
| Description | Author affiliation: Mechatron. Lab., Aalesund Univ. Coll., Aalesund, Norway (Guoyuan Li; Wei Li) || Connecticut Transp. Safety Res. Center, Univ. of Connecticut, Storrs, CT, USA (Wei Zeng) || Fac. of Inf. Technol., Macau Univ. of Sci. & Technol., Macau, China (Hong-Ning Dai) || Big Data Lab., Aalesund Univ. Coll., Aalesund, Norway (Hao Wang; Osen, O.L.) |
| Abstract | Big Data Analytics (BDA) and Internet of Things (IoT) are rising quickly. The recent emerging Industrial IoT (IIoT), a sub-paradigm of IoT, focuses more in safety-critical industrial applications. Studies showed that the adoption of BDA increase companies' output and productivity; IoT enables companies to have more information and control in physical resources, processes, and environments; BDA and IIoT complement each other and develop as a double “helix”. In this position paper, we briefly review the opportunities and challenges in this era of big data and IoT for the Møre maritime cluster; then we propose a new framework integrating BDA and IIoT technologies for offshore support vessels (OSVs) based on a hybrid CPU/GPU/FPGA1 high performance computing platform. We believe that such a framework, when implemented, can help maritime companies increase their output and productivity, and hence enable the whole cluster to continue to be a leader in the global maritime industry. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 792994 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781479986392 |
| ISSN | 21593450 |
| e-ISBN | 9781479986415 |
| DOI | 10.1109/TENCON.2015.7372918 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-11-01 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Lead Maintenance engineering Marine vehicles Government Bluetooth IEEE 802.15 Standard Global Positioning System |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Computer Science Applications |
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