Intelligent flood disaster warning on the fly: developing IoT-based management platform and using 2-class neural network to predict flood status

The number of natural disasters occurring yearly is increasing at an alarming rate which has caused a great concern over the well-being of human lives and economy sustenance. The rainfall pattern has also been affected and this has caused immense amount of flood cases in recent times. Flood disaster...

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Main Authors:	Abdullahi, Salami Ifedapo, Habaebi, Mohamed Hadi, Abdul Malik, Noreha
Format:	Article
Language:	English English
Published:	Institute of Advanced Engineering and Science 2019
Subjects:	TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
Online Access:	http://irep.iium.edu.my/72273/ http://irep.iium.edu.my/72273/ http://irep.iium.edu.my/72273/ http://irep.iium.edu.my/72273/7/72273%20Intelligent%20flood%20disaster%20warning%20on%20the%20fly.pdf http://irep.iium.edu.my/72273/13/72273_Intelligent%20flood%20disaster%20warning%20on%20the%20fly-Developing%20IoT-based%20management%20platform%20and%20using%202-class%20neural%20network%20to%20predict%20flood%20status_Scopus.pdf

id	iium-72273
recordtype	eprints
spelling	iium-722732019-11-24T16:24:15Z http://irep.iium.edu.my/72273/ Intelligent flood disaster warning on the fly: developing IoT-based management platform and using 2-class neural network to predict flood status Abdullahi, Salami Ifedapo Habaebi, Mohamed Hadi Abdul Malik, Noreha TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices The number of natural disasters occurring yearly is increasing at an alarming rate which has caused a great concern over the well-being of human lives and economy sustenance. The rainfall pattern has also been affected and this has caused immense amount of flood cases in recent times. Flood disasters are damaging to economy and human lives. Yearly, millions of people are affected by floods in Asia alone. This has brought the attention of the government to develop a flood forecasting method to reduce flood casualties. In this article, a flood mitigation method will be evaluated which incorporates a miniaturized flow, water level sensor and pressure gauge. The data from the two sensors are used to predict flood status using a 2-class neural network. Real-time monitoring of the data from the sensor into Thingspeak channel were possible with the use of NodeMCU ESP8266. Furthermore, Microsoft’s Azure Machine Learning (AzureML) has built-in 2-class neural network which was used to predict flood status according to predefine rule. The prediction model has been published as Web services through AzureML service and it enables prediction as new data are available. The experimental result showed that using 3 hidden layers has the highest accuracy of 98.9% and precision of 100% when 2-class neural network is used. Institute of Advanced Engineering and Science 2019-06 Article PeerReviewed application/pdf en http://irep.iium.edu.my/72273/7/72273%20Intelligent%20flood%20disaster%20warning%20on%20the%20fly.pdf application/pdf en http://irep.iium.edu.my/72273/13/72273_Intelligent%20flood%20disaster%20warning%20on%20the%20fly-Developing%20IoT-based%20management%20platform%20and%20using%202-class%20neural%20network%20to%20predict%20flood%20status_Scopus.pdf Abdullahi, Salami Ifedapo and Habaebi, Mohamed Hadi and Abdul Malik, Noreha (2019) Intelligent flood disaster warning on the fly: developing IoT-based management platform and using 2-class neural network to predict flood status. Bulletin of Eletrical Engineering and Informatics, 8 (2). pp. 706-717. ISSN 2089-3191 E-ISSN 2302-9285 http://beei.org/index.php/EEI/article/view/1504/1082 10.11591/eei.v8i2.1504
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
spellingShingle	TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices Abdullahi, Salami Ifedapo Habaebi, Mohamed Hadi Abdul Malik, Noreha Intelligent flood disaster warning on the fly: developing IoT-based management platform and using 2-class neural network to predict flood status
description	The number of natural disasters occurring yearly is increasing at an alarming rate which has caused a great concern over the well-being of human lives and economy sustenance. The rainfall pattern has also been affected and this has caused immense amount of flood cases in recent times. Flood disasters are damaging to economy and human lives. Yearly, millions of people are affected by floods in Asia alone. This has brought the attention of the government to develop a flood forecasting method to reduce flood casualties. In this article, a flood mitigation method will be evaluated which incorporates a miniaturized flow, water level sensor and pressure gauge. The data from the two sensors are used to predict flood status using a 2-class neural network. Real-time monitoring of the data from the sensor into Thingspeak channel were possible with the use of NodeMCU ESP8266. Furthermore, Microsoft’s Azure Machine Learning (AzureML) has built-in 2-class neural network which was used to predict flood status according to predefine rule. The prediction model has been published as Web services through AzureML service and it enables prediction as new data are available. The experimental result showed that using 3 hidden layers has the highest accuracy of 98.9% and precision of 100% when 2-class neural network is used.
format	Article
author	Abdullahi, Salami Ifedapo Habaebi, Mohamed Hadi Abdul Malik, Noreha
author_facet	Abdullahi, Salami Ifedapo Habaebi, Mohamed Hadi Abdul Malik, Noreha
author_sort	Abdullahi, Salami Ifedapo
title	Intelligent flood disaster warning on the fly: developing IoT-based management platform and using 2-class neural network to predict flood status
title_short	Intelligent flood disaster warning on the fly: developing IoT-based management platform and using 2-class neural network to predict flood status
title_full	Intelligent flood disaster warning on the fly: developing IoT-based management platform and using 2-class neural network to predict flood status
title_fullStr	Intelligent flood disaster warning on the fly: developing IoT-based management platform and using 2-class neural network to predict flood status
title_full_unstemmed	Intelligent flood disaster warning on the fly: developing IoT-based management platform and using 2-class neural network to predict flood status
title_sort	intelligent flood disaster warning on the fly: developing iot-based management platform and using 2-class neural network to predict flood status
publisher	Institute of Advanced Engineering and Science
publishDate	2019
url	http://irep.iium.edu.my/72273/ http://irep.iium.edu.my/72273/ http://irep.iium.edu.my/72273/ http://irep.iium.edu.my/72273/7/72273%20Intelligent%20flood%20disaster%20warning%20on%20the%20fly.pdf http://irep.iium.edu.my/72273/13/72273_Intelligent%20flood%20disaster%20warning%20on%20the%20fly-Developing%20IoT-based%20management%20platform%20and%20using%202-class%20neural%20network%20to%20predict%20flood%20status_Scopus.pdf
first_indexed	2023-09-18T21:42:23Z
last_indexed	2023-09-18T21:42:23Z
_version_	1777413226511728640

Intelligent flood disaster warning on the fly: developing IoT-based management platform and using 2-class neural network to predict flood status

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