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IoT based Appliances Identification Techniques with FogComputing for e-Health
KTH, School of Electrical Engineering and Computer Science (EECS), Electronics. University of Turku, Finland . (Smart Grid, IoT 4 Health)ORCID iD: 0000-0003-2357-1108
Unaizah College of Engineering, Qassim University, Saudi Arabia; University of Monastir, Tunisia .
KTH, School of Electrical Engineering and Computer Science (EECS), Electronics. University of Dar es Salaam, Tanzania .ORCID iD: 0000-0002-7734-7817
KTH. University of Dar es Salaam, Tanzania .
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2019 (English)In: 2019 IST-Africa Week Conference (IST-Africa, Narobi, Kenya: IEEE, 2019Conference paper, Published paper (Refereed)
Abstract [en]

To improve the living standard of urban communities and to render the healthcare services sustainable and efficient, e-health system is experiencing a paradigm shift. Patients with cognitive discrepancies can be monitored and observed through the analyses of power consumption of home appliances. This paper surveys recent trends in home-based e-health services using metered energy consumption data. It also analyses and summarizes the constant impedance, constant current and constant power (ZIP) approaches for load modelling. The analysis briefly recaptures both non-intrusive and intrusive techniques. The work reports an architecture using IoT technologies for the design of a smart-meter, and fog-computing paradigm for raw processing of energy dataset. Finally, the paper describes the implementation platform based on GirdLAB-D simulation to construct accurate models of household appliances and test the machine-learning algorithm for the detection of abnormal behaviour.

Place, publisher, year, edition, pages
Narobi, Kenya: IEEE, 2019.
Keywords [en]
e-health., home management system, Internet of Things (IoT), fog-computing, non-intrusive load monitoring and identification (NILM), smart-meter
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-241293DOI: 10.23919/ISTAFRICA.2019.8764818Scopus ID: 2-s2.0-85069928430OAI: oai:DiVA.org:kth-241293DiVA, id: diva2:1339255
Conference
2019 IST-Africa Week Conference (IST-Africa
Note

QC 20190902

Available from: 2019-07-27 Created: 2019-07-27 Last updated: 2019-09-23Bibliographically approved

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fulltext(367 kB)17 downloads
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Publisher's full textScopushttps://ieeexplore.ieee.org/abstract/document/8764818/keywords#keywords

Authority records BETA

Kelati, AmlesetKondoro, AronRwegasira, DianaTenhunen, Hannu

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