Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/7998
Title: Markov Chain Approach for Change Point Detection
Authors: Popli, Mayank
Singh, Shrey
Singh, Yashwant [Guided by]
Keywords: Markov Chain Approach
Change Point Detection
Issue Date: 2012
Publisher: Jaypee University of Information Technology, Solan, H.P.
Abstract: In the last few years, the occurrences of natural disasters have been continuing changing our lives, damaging property and life styles in many different ways. So here we talk about a system that can be used to prevent enormous damage from natural disasters. Our project is aimed at developing a system that would be used in Fire departments to not only alert them of fire but also tell the probability of a forest fire to take place depending on factors like Temperature, humidity, smoke detection, levels of CO and CO2 and previous data which would show the trend in which forest fires happen. This trend varies as per the regions which are prone to forest fires. In this system, a wireless sensor network is utilized as a weather station network, sending weather information and disasters‘ alerts. The weather information is analysed by using various techniques to announce the disasters‘ alerts.
URI: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/7998
Appears in Collections:B.Tech. Project Reports

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