Title :
CARE Framework: Context-Aware Reliable Engine Health Focus on Traffic Monitoring System
Author :
Mcheick, Hamid ; Khreis, Malak ; Al-Kalla, Mohammad ; Sweidan, Hala
Author_Institution :
Dept. of Comput. Sci., Univ. of Quebec at Chicoutimi, Chicoutimi, QC, Canada
Abstract :
The high availability of various types of sensors has led to better understanding of the physical world. Consequently, they support the creation of ambient intelligence for a wide range of applications including health care applications. In our paper, we propose a health care framework that monitors the patient physical health in addition to traffic patterns on the roads. The framework aims to aid the health care team in rescuing lives by providing both emergency detection and the optimal road that should be taken in order to reach the patient in the minimum possible time. We also describe AHP (Analytical Hierarchy Process) Decision Making Model and release an experimentation as a proof of concept.
Keywords :
analytic hierarchy process; health care; medical computing; traffic engineering computing; ubiquitous computing; AHP decision making model; CARE framework; ambient intelligence; analytical hierarchy process; context-aware reliable engine health; emergency detection; health care application; patient physical health; traffic monitoring system; Computational modeling; Computers; AHP; Healthcare; MCDM; context awareness; sensors; traffic awareness;
Conference_Titel :
Computer Modelling and Simulation (UKSim), 2014 UKSim-AMSS 16th International Conference on
Print_ISBN :
978-1-4799-4923-6
DOI :
10.1109/UKSim.2014.76