Aliza Sarlan ¹, Wan Fatimah Wan Ahmad ¹, Rohiza Ahmad ¹, Nurliyana Roslan ¹

Affiliations
1 Computer and Information Sciences Department, University Technology Petronas, 32610 Bandar Seri Iskandar, Perak, MY

Abstract

Background/Objectives: This paper aims to report on the development of an Emergency Accident Alert mobile application to send an accurate alert and notification of accident to the emergency call center. Methods/Statistical Analysis: Rapid Application Development strategy is adopted to develop the mobile apps using Phone gap, HTML, CSS, JavaScript and JQuery. Usability testing using questionnaire survey method was conducted with 35 respondents to investigate user acceptance of the apps in accordance to ten heuristic principles. Findings: Emergency Accident Alert mobile application has been successfully developed and integrating the 10 heuristic principles to send an alert and notification of accident to the emergency call center accurately. As precise information during accident reporting to the emergency call center is very crucial in order to minimize the negative impact of an accident, the developed apps is found to be able to assist bystander and eyewitness of road accident to send an accurate alert and notification of any specific accident including some details of victim’s condition to the emergency call center accurately. Prototype usability testing result shows positive users feedback on the mobile application usability. Specifically, results found that the apps are to be useful, easy to be used and conformed to the usability principles. Ensuring application adherence to usability principles resulted in wide and positive acceptance of the application by public users. Application/Improvements: Future enhancement for the application to include automated and intelligent redundant emergency report screening verify that the report is genuine.

Keywords

Alert, Emergency, Mobile Application, Road Accident, Usability.

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Soodeh Peyvandi ¹, Rohiza Ahmad ², M. Nordin Zakaria ²

Affiliations
1 High Performance Computing (HPC) Center, Universiti Teknologi PETRONAS, Tronoh, Perak, MY
2 Department of Computer and Information Sciences, Universiti Teknologi PETRONAS, Tronoh, Perak, MY

Abstract

Many scientific projects such as SETI@home are leveraging on enormous numbers of distributed internet-based idle desktop computers to execute their jobs in a Desktop Grid (DG) computing environment. These idle desktop computers (volunteers) are volatile, i.e., they are free to join and leave the DG systems. Besides, the volunteers might also have different resources which are heterogeneous in characteristics and capabilities. Due to the above facts, volunteers in a DG system have different levels of reliability and availability which makes scheduling of jobs more challenging. Thus, this paper presents a grouping method which assigns these heterogeneous volatile volunteers into different levels of reliability groups, according to their availability score. In order to derive the availability score model for the grouping purposes, this study uses statistical analysis of real trace data which are taken from SETI@home project. By having the proper grouping, better assignment of jobs can be achieved in a DG system. Simulation runs of the approach shows that it is feasible to volunteers are able to be grouped using the scoring model.

Keywords

Availability Scoring, Desktop Grid Computing, Grouping, Volatility

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