Fuzzy-as-a-service for real-time human activity recognition using IEEE 1855-2016 Standard

Pandya, B, Pourabdollah, A ORCID: https://orcid.org/0000-0001-7737-1393 and Lotfi, A ORCID: https://orcid.org/0000-0002-5139-6565, 2020. Fuzzy-as-a-service for real-time human activity recognition using IEEE 1855-2016 Standard. In: 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE): 2020 conference proceedings. Piscataway, NJ: IEEE. ISBN 9781728169323

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Abstract

Fuzzy Logic Systems (FLSs) have shown their potentials in Ambient Intelligence (AmI) applications. However, the implementation of FLSs is typically linked to dedicated and non-scalable hardware/software systems. As a result, some specific AmI requirements such as web communications and Service-Oriented Architecture (SOA), which can be found in many modern systems, are rarely adapted for FLSs. Sharing FLSs accessibility as web services (called fuzzy-as-a-service), in which the service is developed independently from a specific FLS, allows for system autonomy, openness, load balancing, efficient resource allocation and eventually cost-efficiency, particularly for computationally intense FLSs. In a wider context, such features can open new dimensions for FLSs’ applicability in Cloud Computing and Internet of Things devices. Recent advances in standardising Fuzzy Mark-up Language (IEEE 1855-2016) and its associated software libraries (such as JFML) has made this even more achievable. This paper proposed fuzzy-as-a-service architecture based on IEEE 1855-2016, JFML and SOA. Through a simulated experiment, this paper concerned the collection, processing and monitoring the distributed data over the web, thus a real-time human activity recognition simulated scenario using a rule based FLS is demonstrated.

Item Type:	Chapter in book
Description:	Paper presented at the 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Glasgow, Scotland, 19-24 July 2020.
Creators:	Pandya, B., Pourabdollah, A. and Lotfi, A.
Publisher:	IEEE
Place of Publication:	Piscataway, NJ
Date:	2020
ISBN:	9781728169323
Identifiers:	Number Type 10.1109/fuzz48607.2020.9177781 DOI 1358645 Other
Divisions:	Schools > School of Science and Technology
Record created by:	Jonathan Gallacher
Date Added:	01 Sep 2020 10:24
Last Modified:	01 Sep 2020 10:24
URI:	https://irep.ntu.ac.uk/id/eprint/40604

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