Emergency Alert for Disaster Management Using Big Data Analytics

Author(s):

Indhuja M , Jerusalem college of Engineering, Pallikaranai,Chennai; Keerthika G, Jerusalem college of Engineering, Pallikaranai,Chennai; Lilly Sheeba S, Jerusalem college of Engineering, Pallikaranai,Chennai

Keywords:

Twitter, individual preference, interpersonal preference, location estimation, particle filter, tweets

Abstract:

In recent days people are interested in using social network applications in smart phones. Text messaging consumes less network resources than voice or wireless broadband. In this paper we propose an emergency alert response system. In reality, there is no proper alert system in place to report disaster related events and hence there is no way for immediate rescue. In our proposed system, we have implemented an emergency alert for disaster management using Big Data analytics by using tweets posted by users on the social networks. Here an emergency alert will be sent to appropriate people and disaster related keywords are used to identify the specific location of the worst hit area due to disaster. This can enable the rescue team to focus on the worst hit areas.

Other Details:

Manuscript Id	:	IJSTEV2I10023
Published in	:	Volume : 2, Issue : 10
Publication Date	:	01/05/2016
Page(s)	:	65-67

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