International Journal of Advance Computational Engineering and Networking (IJACEN)
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Statistics report
Jul. 2019
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 75
Paper Published : 1156
No. of Authors : 2892
  Journal Paper

Paper Title
Spatio-Temporal Stream Analysis Based On Hadoop And R Cooperating Via Relational Database

Abstract
This paper presents how Hadoop, MySQL, and R cooperate on different machines for the analysis of diverse data streams generated in smart grids, particularly integrating geographic information. Our analysis scenarios benefit from big data processing, information sharing, and abundant statistical analysis, respectively. Specifically, 1) R solely plots the geographic information obtained from an ESRI shape file not so intensively shared. 2) R combines the location information with the district-by-district statistics downloaded from MySQL. 3) Hadoop first summarizes the daily report from a potentially massive amount of data and stores in MySQL. Then, R downloads and conducts the trend pattern analysis using its neural network library. In such procedures, R installs the libraries of RMySQL, GISTools, and neuralnet. This framework can host additional components for more sophisticated analysis for ever-growing smart grid entities such as electric vehicles. Keywords— Smart Grid, Massive Data Stream, Hadoop, R Package, MySQL Database.


Author - Junghoon Lee, Jiwon Jung, Donghyun Kim, Suna Kim, Gyung-Leen Park

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| Published on 2016-01-30
   
   
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