By Phan Cong Vinh, Vangalur Alagar
This publication constitutes the completely refereed court cases of the 4th overseas convention on Context-Aware platforms and functions, ICCASA 2015, held in Vung Tau, Vietnam, in November 2015. The forty four revised complete papers offered have been rigorously chosen and reviewed from over a hundred submissions. The papers conceal a large spectrum of matters within the quarter of context-aware platforms (CAS) and context-based suggestion systems.
CAS is characterised via its self- features akin to self-organization, self-configuration, self-healing, self-optimization, self-protection and so forth whose context wisdom used to dynamically regulate computing and networking features. the general target of CAS is to gain nature-inspired autonomic platforms that may deal with themselves with out direct human interventions.
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Design and operation for an electric taxi fleet. OR Spectrum 37, 171–194 (2015) 11. : A cost-effective recommender system for taxi drivers. In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 45–54. ACM (2014) 12. : A revised branch-and-price algorithm for dial-a-ride problems with the consideration of time-dependent travel cost. J. Adv. Transp. (2014) 13. : Experimental evaluation of a branch and bound algorithm for computing pathwidth. , Katajainen, J.
It can maximize the health This research is supported by Discovery Grants Program, NSERC, Canada. C. Vinh and V. ): ICCASA 2015, LNICST 165, pp. 21–30, 2016. P. Oyekanmi et al. service utilization and minimize service cost. In this paper, we have focused on creating a context-aware architecture for implementing healthcare system from bottom up. We have chosen to focus on the elderly due to the numerous vulnerabilities and healthcare needs they face, especially personal care in daily living which could range from taking care of personal hygiene to feeding themselves.
2. P. Oyekanmi et al. Basic Concepts In this section, we present basic healthcare terminologies that we used in our design. – Health Determinants (HD): By Health Determinants, we refer to factors that affect the health of an individual. These factors can be used to create a personalized health model for that patient, thereby assist in making decisions that will ultimately lead to the improvement of the patient’s health status. A patient’s health model can further be enhanced by including his desired privacy policies.