Nature-Inspired Search Method for Location Optimization of Smart Health Care System

dc.contributor.authorFreeman E.
dc.contributor.authorAgbehadji I.E.
dc.contributor.authorMillham R.C.
dc.date.accessioned2025-03-06T18:11:43Z
dc.date.accessioned2025-03-06T18:58:56Z
dc.date.issued2019
dc.description.abstractThis 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. � 2019 IEEE.
dc.identifier.doi10.1109/ICMRSISIIT46373.2020.9405900
dc.identifier.isbn978-172810486-7
dc.identifier.urihttp://162.250.124.58:4000/handle/123456789/362
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.sourceInternational Conference on Mechatronics, Remote Sensing, Information Systems, and Industrial Information Technologies, ICMRSISIIT 2019
dc.subjectkestrel-based search algorithm (KSA)
dc.subjectmapping function algorithm
dc.subjectnature-inspired search
dc.subjectsmart mobile health care system
dc.titleNature-Inspired Search Method for Location Optimization of Smart Health Care System
dc.typeOther
oaire.citation.conferenceDate20 December 2019 through 22 December 2019
oaire.citation.conferencePlaceVirtual, Accra

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