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

Pandya, B., Pourabdollah, A. ORCID: 0000-0001-7737-1393 and Lotfi, A. ORCID: 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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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
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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