Using Rule Base System in Mobile Platform to Build Alert System for Evacuation and Guidance
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2016, Vol 7, Issue 4
Abstract
The last few years have witnessed the widespread use of mobile technology. Billions of citizens around the world own smartphones, which they use for both personal and business applications. Thus, technologies will minimize the risk of losing people's lives. Mobile platform is one of the most popular plat-form technologies utilized on a wide scale and accessible to a high number of people. There has been a huge increase in natural and manmade disasters in the last few years. Such disasters can hap-pen anytime and anywhere causing major damage to people and property. The environment affluence and the failure of people to go to other safe places are the results of catastrophic events re-cently in Jeddah city. Flood causes the sinking and destruction of homes and private properties. Thus, this paper describes a sys-tem that can help in determining the affected properties, evacuat-ing them, and providing a proper guidance to the registered users in the system. This system notifies mobile phone users by sending guidance messages and sound alerts, in a real-time when disasters (fires, floods) hit. Warnings and tips are received on the mobile user to teach him/her how to react before, during, and after the disaster. Provide a mobile application using GPS to determine the user location and guide the user for the best way with the aid of rule-based system that built through the interview with the Experts domains. Moreover, the user will re-ceive Google map updates for any added information. This sys-tem consists of two subsystems: the first helps students in our university to evacuate during a catastrophe and the second aids all people in the city. Due to all these features, the system can access the required information at the needed time.
Authors and Affiliations
Maysoon Abulkhair, Lamiaa Ibrahim
Keywords
Related Articles
- EP ID EP101479
- DOI 10.14569/IJACSA.2016.070409
- Views 142
- Downloads 0
A Decision Support System for Early-Stage Diabetic Retinopathy Lesions
Retina is a network layer containing light-sensitive cells. Diseases that occur in this layer, which performs the eye-sight, threaten our eye-sight directly. Diabetic Retinopathy is one of the main complications of diabe...
Enhancing Visualization of Multidimensional Data by Ordering Parallel Coordinates Axes
Every year business is overwhelmed by the quantity and variety of data. Visualization of Multi-dimensional data is counter-intuitive using conventional graphs. Parallel coordinates are proposed as an alternative to explo...
A Hybrid Approach for Co-Channel Speech Segregation based on CASA, HMM Multipitch Tracking, and Medium Frame Harmonic Model
This paper proposes a hybrid approach for co-channel speech segregation. HMM (hidden Markov model) is used to track the pitches of 2 talkers. The resulting pitch tracks are then enriched with the prominent pitch. The enr...
Deep Learning Classification of Biomedical Text using Convolutional Neural Network
In this digital era, the document entries have been increasing days by days, causing a situation where the volume of the document entries in overwhelming. This situation has caused people to encounter with problems such...
Anti-noise Capability Improvement of Minimum Energy Combination Method for SSVEP Detection
Minimum energy combination (MEC) is a widely used method for frequency recognition in steady state visual evoked potential based BCI systems. Although it can reach acceptable performances, this method remains sensitive t...