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Analysis and Design of Fire Emergency Application (FEAP)

Authors: Umar Mubarak Albarka; Salahudeen Abdullahi Saheed; Okoh Jimoh Ehi; Mohamed Mahmoud Siddig;

Analysis and Design of Fire Emergency Application (FEAP)

Abstract

Fire is as destructive as it is useful. Without a proper pro-active approach to preventing fire outbreaks, the results could be extremely disastrous when they occur. Thus, there is a need for a fast and convenient way of reporting fire incidents. The growing usage of smartphones provides a way of equipping the public with a means of reporting fire incidents to ensure prompt response and proper management of the incidents. In this paper, we analyze the manual process of reporting fire outbreaks and design an automated FEAP – a mobile application, to enable the public to quickly alert nearest fire emergency units of any possible fire incidents. We developed FEAP with the aid of the Software Development Life Cycle (SDLC) phases and Unified Modeling Language (UML) which is used as a model to visualize the design view of the application. An Entity Relationship Diagram (ERD) is used for database design and a simple Graphical User Interface (GUI) prototype of the proposed application is designed. Our work highlights a practical application of analysis and design concepts in developing software to providing an efficient solution in reporting fire outbreaks.

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Keywords

Unified Modeling Language (UML), Entity Relationship Diagram (ERD), Fire Reporting, Fire Outbreak, Fire Emergency, Software Development Life Cycle (SDLC), Mobile Application, Graphical User Interface (GUI)

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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