Paper Info
Title
Oceanic Data Processing System Based on Multi-sensor Interaction through Internet of Things
Abstract
With the rapid development of Internet of Things and data interactive processing technologies, the application of Internet of Things in marine field is emerging. In the face of big oceanic data from various sensors, a model of multi-sensor interaction and data processing is proposed in this paper. On the basis of this model, an oceanic data processing algorithm based on back propagation neural network data fitting is proposed, which can be used for various types of oceanic data. In order to make the data more intuitive and improve the efficiency of data processing, we design a basic model of oceanic data visualization concluding the graphical display and processing. In this model, the standard file will be generated finally through the effective data processing. Through the comparison and analysis of experimental results, it's shown that the algorithm achieves better optimization. And the model of data interaction and visualization are suitable and reasonable in practical application.
Year
DOI
Venue
2018
10.1109/PCCC.2018.8711112
2018 IEEE 37th International Performance Computing and Communications Conference (IPCCC)
Keywords
Field
DocType
Internet of Things,oceanic data processing,muliti-sensor interaction,data visualization
Computer science,Internet of Things,Computer network,Data processing system
Conference
ISSN
ISBN
Citations 
1097-2641
978-1-5386-6809-2
0
PageRank 
References 
Authors
0.34
27
6
Name
Order
Citations
PageRank
Jiachen Yang112016.19
Qiming Zhao200.34
chang wang33312.55
Bin Jiang48513.70
Tianyuan Zhang530.74
Houbing Song61771172.26