Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/8389
Title: Information Fusion and Change Point Detection in Mutual Exclusive Distributive Clustering
Authors: Singha, Yashwant
Chugh b, Urvashi
MurthyC, Ramana
Keywords: Change point detection
Fuzzy theory
MEDC
Issue Date: 2015
Publisher: Jaypee University of Information Technology, Solan, H.P.
Abstract: useful information i.e. Information Fusion. Information Fusion is sometime targeted for change point detection or it can be said for event detection in present scenario. This paper will present information fusion and change point detection merged with our previously proposed work i.e. Mutual Exclusive Distributive Clustering (MEDC). In this paper change point Detection is aimed for forest fire detection via fuzzy logic. MEDC protocol will perform clustering and after that, these cluster heads will use fuzzy logic to represent change point detection. Fire detection is considered here as application for change point detection. In this paper for simulation purpose, data is taken from National Oceanic and Atmospheric Administration [15] and Occupational Safety and health administration
URI: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/8389
Appears in Collections:Journal Articles

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