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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
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: |
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| 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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