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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/46886/1/Modular.pdf
http://irep.iium.edu.my/46886/
http://www.ccsenet.org/journal/index.php/mas
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spelling my.iium.irep.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 REM 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
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
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/46886/1/Modular.pdf
http://irep.iium.edu.my/46886/
http://www.ccsenet.org/journal/index.php/mas
_version_ 1643613083162116096
score 13.211869

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