Utilizing modular neural network for prediction of possible emergencies locations within point of interest of Hajj pilgrimage

This paper utilize modular neural network for prediction of possible emergencies locations during hajj pilgrimage. Available location, localization and positioning determination systems become increasingly important for use in day-to-day activities. These systems dwells on various scientific tools...

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Main Authors:	Abubakar, Adamu, Haruna, Chiroma, Abdullah, Khan, Fatihu, Mukhtar, Dauda, Ali Baba, Mahmood, Nadeem, Shah, Asadullah, Maitama, Jaafar Zubairu, Herawan, Tutut
Format:	Article
Language:	English
Published:	Canadian Center of Science and Education 2016
Subjects:	QA76 Computer software
Online Access:	http://irep.iium.edu.my/46886/ http://irep.iium.edu.my/46886/ http://irep.iium.edu.my/46886/ http://irep.iium.edu.my/46886/1/Modular.pdf

id	iium-46886
recordtype	eprints
spelling	iium-468862017-01-31T05:07:41Z http://irep.iium.edu.my/46886/ Utilizing modular neural network for prediction of possible emergencies locations within point of interest of Hajj pilgrimage Abubakar, Adamu Haruna, Chiroma Abdullah, Khan Fatihu, Mukhtar Dauda, Ali Baba Mahmood, Nadeem Shah, Asadullah Maitama, Jaafar Zubairu Herawan, Tutut QA76 Computer software This paper utilize modular neural network for prediction of possible emergencies locations during hajj pilgrimage. Available location, localization and positioning determination systems become increasingly important for use in day-to-day activities. These systems dwells on various scientific tools which ensure that the systems will provide accurate response to the needed service at the right time. Unfortunately, some tools were faced with drawbacks, either their use was not appropriate or they do not give reliable results, or the results obtained in certain scenario might not be apply to other scenarios. For this reasons, we utilize modular neural network tool to examine the analysis of determining possible emergencies locations within point of Interest of Hajj Pilgrimage in Meccah Saudi Arabia. The prediction results are generated by the use of longitude, latitude and distances as the dataset. Modular neural network takes longitude and latitude as inputs and predict distances within pilgrim’s possible point of interest. The learning systems were trained on the collected data. Experimental investigation demonstrated that modular network produce higher prediction accuracy compaired to other tools. This finding would contribute to the design of add-on applications which will deem to provide location based services for possible emergencies locations. Canadian Center of Science and Education 2016 Article PeerReviewed application/pdf en http://irep.iium.edu.my/46886/1/Modular.pdf Abubakar, Adamu and Haruna, Chiroma and Abdullah, Khan and Fatihu, Mukhtar and Dauda, Ali Baba and Mahmood, Nadeem and Shah, Asadullah and Maitama, Jaafar Zubairu and Herawan, Tutut (2016) Utilizing modular neural network for prediction of possible emergencies locations within point of interest of Hajj pilgrimage. Modern Applied Science, 10 (2). pp. 34-51. ISSN 1913-1844 (P), 1913-1852 (O) http://www.ccsenet.org/journal/index.php/mas 10.5539/mas.v10n2p34
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	QA76 Computer software
spellingShingle	QA76 Computer software Abubakar, Adamu Haruna, Chiroma Abdullah, Khan Fatihu, Mukhtar Dauda, Ali Baba Mahmood, Nadeem Shah, Asadullah Maitama, Jaafar Zubairu Herawan, Tutut Utilizing modular neural network for prediction of possible emergencies locations within point of interest of Hajj pilgrimage
description	This paper utilize modular neural network for prediction of possible emergencies locations during hajj pilgrimage. Available location, localization and positioning determination systems become increasingly important for use in day-to-day activities. These systems dwells on various scientific tools which ensure that the systems will provide accurate response to the needed service at the right time. Unfortunately, some tools were faced with drawbacks, either their use was not appropriate or they do not give reliable results, or the results obtained in certain scenario might not be apply to other scenarios. For this reasons, we utilize modular neural network tool to examine the analysis of determining possible emergencies locations within point of Interest of Hajj Pilgrimage in Meccah Saudi Arabia. The prediction results are generated by the use of longitude, latitude and distances as the dataset. Modular neural network takes longitude and latitude as inputs and predict distances within pilgrim’s possible point of interest. The learning systems were trained on the collected data. Experimental investigation demonstrated that modular network produce higher prediction accuracy compaired to other tools. This finding would contribute to the design of add-on applications which will deem to provide location based services for possible emergencies locations.
format	Article
author	Abubakar, Adamu Haruna, Chiroma Abdullah, Khan Fatihu, Mukhtar Dauda, Ali Baba Mahmood, Nadeem Shah, Asadullah Maitama, Jaafar Zubairu Herawan, Tutut
author_facet	Abubakar, Adamu Haruna, Chiroma Abdullah, Khan Fatihu, Mukhtar Dauda, Ali Baba Mahmood, Nadeem Shah, Asadullah Maitama, Jaafar Zubairu Herawan, Tutut
author_sort	Abubakar, Adamu
title	Utilizing modular neural network for prediction of possible emergencies locations within point of interest of Hajj pilgrimage
title_short	Utilizing modular neural network for prediction of possible emergencies locations within point of interest of Hajj pilgrimage
title_full	Utilizing modular neural network for prediction of possible emergencies locations within point of interest of Hajj pilgrimage
title_fullStr	Utilizing modular neural network for prediction of possible emergencies locations within point of interest of Hajj pilgrimage
title_full_unstemmed	Utilizing modular neural network for prediction of possible emergencies locations within point of interest of Hajj pilgrimage
title_sort	utilizing modular neural network for prediction of possible emergencies locations within point of interest of hajj pilgrimage
publisher	Canadian Center of Science and Education
publishDate	2016
url	http://irep.iium.edu.my/46886/ http://irep.iium.edu.my/46886/ http://irep.iium.edu.my/46886/ http://irep.iium.edu.my/46886/1/Modular.pdf
first_indexed	2023-09-18T21:06:44Z
last_indexed	2023-09-18T21:06:44Z
_version_	1777410983520632832

Utilizing modular neural network for prediction of possible emergencies locations within point of interest of Hajj pilgrimage

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