Dublin Core
Title
Nature-inspired search method for location optimization of smart health care system
Creator
Emmanuel Freeman, Israel Edem Agbehadji, Richard C Millham
Description
This study is an ongoing work to develop a smart mobile health care system for the delivery of health care services to the aged. In this paper, we focus on developing a mapping function algorithm that matches the location of a device used by nurses to that of a patient, especially the aged, to find the optimal distance and direction. After a patient has requested health care service, the algorithm generates random location data, then computes the distances and direction within a geographical location. The mapping function algorithm was inspired by the behaviour of the kestrel bird. The proposed algorithm was evaluated by testing with pre-determined and random location data on latitude and longitudinal data. The experiment results demonstrate that the mapping function was able to find the optimal distance between two different locations.
Publisher
IEEE
Date
2020
Source
https://scholar.google.com/citations?view_op=view_citation&hl=en&user=rQvaaoMAAAAJ&citation_for_view=rQvaaoMAAAAJ:roLk4NBRz8UC
Language
English