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Proceedings Paper

Participant selection strategy for collaboration in multi-agent intelligent health monitoring systems
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Paper Abstract

In multi-agent systems, agents coordinate their behavior and work together to achieve a shared goal through collaboration. However, in multi-agent systems, selecting qualified participants to form effective collaboration communities is challenging. In this paper, we propose a minimum circle covering algorithm, as a solution for on-demand participant selection for collaboration in multi-agent systems. Furthermore, a twenty-one point FBG sensors are divided into four sensing function agent in Structural Health Monitoring (SHM) system is experimented in an aircraft wing box. Correspondingly, there are four intelligent evaluation agents and one system collaborative agent in the multi-agent intelligent health monitoring system. For the damage loading position prediction on the aircraft wing box, the collaborative participation selection strategy based on the minimum circle coverage is verified experimentally. The research result indicates that the minimum circle covering algorithm can be used to select the participation in multi-agent intelligent health monitoring system, of all the participations in the collaboration, it enables them to identify and select a qualified participants.

Paper Details

Date Published: 31 January 2020
PDF: 7 pages
Proc. SPIE 11427, Second Target Recognition and Artificial Intelligence Summit Forum, 114271B (31 January 2020); doi: 10.1117/12.2551431
Show Author Affiliations
Xiaoli Zhang M.D., Xi'an Univ. (China)
Senlin Yang M.D., Xi'an Univ. (China)
Bianlian Zhang M.D., Xi'an Univ. (China)
Hao Li M.D., Xi'an Univ. (China)


Published in SPIE Proceedings Vol. 11427:
Second Target Recognition and Artificial Intelligence Summit Forum
Tianran Wang; Tianyou Chai; Huitao Fan; Qifeng Yu, Editor(s)

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