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)
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Abstract
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.
Item Type: | Article (Journal) |
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Additional Information: | 7132/46886 |
Uncontrolled Keywords: | Modular Neural Network, location, localization, positioning determination |
Subjects: | Q Science > QA Mathematics > QA76 Computer software |
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): | Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Information and Communication Technology > Department of Information System |
Depositing User: | Dr Adamu Abubakar |
Date Deposited: | 30 Dec 2015 14:39 |
Last Modified: | 31 Jan 2017 13:07 |
URI: | http://irep.iium.edu.my/id/eprint/46886 |
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