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
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 |
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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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