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Title: Incident mapping and EAS using decision support system
Authors: A. Yovan Felix, T. Sasipraba
Journal: ARPN Journal of Engineering and Applied Sciences
Publisher: Khyber Medical College, Peshawar
Country: Pakistan
Year: 2016
Volume: 11
Issue: 15
Language: English
In traditional emergency alerting system, we have to inform the emergency team manually by calling them. Even though there are some applications for emergency alert which is time consuming to recover the accident. To overcome these difficulties in our system we are developing a mobile application which will send an alert to emergency team directly by uploading the photos taken at the accident scene. Use of Online source, our application will automatically identify the incident location using GPS from the user mobile. Then the emergency team will take decision to rescue the accident place by analyzing the data which will be stored in database. To extract the relevant data using the concept called data mining. After making decision by the emergency team, they will pass the information to the nearby emergency service like Ambulance, Fire service, Police service, etc. Because of this system, time consuming is less than the other systems, User friendly, motivate the public to help society. The system views in both table form as well as the map form of the process. This system takes the advantage of the Social media to help the public by passing the information among society.
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