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To Automate Dam Gates and Presage Floods Using Predictive Analytics Through Android Application

Mayuri Salunke, Swapnil Jadhav, Omkar Salvi, Akshay Raut, T.P. Vaidya, N.S. Pharande

Abstract


In today’s world the areas in the range of the dam site are feared by the disaster “Floods”. It would be profuse for the areas prone to floods if they are informed well in advance about the calamity so they could prevent losses. An android application could be built which could predict floods based on present weather conditions and also forecasting conditions. Also, in case of emergency the worker has to rush at the dam site to open/close the gates. This also could be done by the application in which the worker could automate the gates through the android application instead of panicking to the dam site. This could prevent catastrophic problems such as dam bursting in case of heavy rains. The present website which is in service of the task of looking after the dam related information only gives the static data related to dam and has no provision to control dam gates remotely. Also the website has no provision of forecasting floods.

 

Cite this Article
Mayuri Salunke, Swapnil Jadhav, Omkar Salvi et al. To Automate Dam Gates and Presage Floods Using Predictive Analytics Through Android Application. Journal of Mobile Computing, Communications & Mobile Networks. 2015; 2(2): 14–19p.


Keywords


GSM - global system for mobile communications, RTDAS - real time data acquisition system, HTTP-hyper text transfer protocol, automation in dam, predictive analytics, flood forecasting

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References


McLaughlin S, Enck W McDaniel P. Semantically Rich Application-Centric Security in Android. ieee.

Singh RD. Real Time Flood Forecasting. Indian Experiences.

Kwabena O Asante, Macuacua Rodrigues D, Artan Guleid A, et al. Developing a Flood Monitoring System From Remotely Sensed Data for the Limpopo Basin. IEEE transactions on Geo-Science and Remote Sensing. 2007; 45(6).

Lohani AK, Goel NK, Bahtia KKS. Real Time Flood Forecasting using Fuzzy Logic. International Conference on Hydrological Perspectives for Sustainable Development (HYPESED-2005), Roorkee, India. 2005.

Barnes LR, Gruntfest EC, Hayden MH, et al. False alarms and close calls: a conceptual model of warning accuracy. Weather Forecast. 2007; 22: 1140–1147p.

Mouton AJJ, GE. Effective Remote Control of Electric Motors Using GSM Technology. ieee.

Lock KA. Remote and Security Control via SMS. Kolej Universiti Tun Hussein Onn Malaysia:Thesis Sarjana Muda. 2004.

Sabudin Elia Nadira, Muji Siti Zarina Mohd, Wahab Mohd. Helmy Abd, et al. GSM-based Notification Speed Detection for Monitoring Purposes. Proceeding of IEEE International Symposium of Information Technology, KLCC, Kuala Lumpur. 2008; August: 26–28p.

Serasidis Vasilis. SMS Remote Control, For Ericsson T10 GSM Mobile Phone. Retrieved at http://www.serasidis.gr. 2003.


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