Abstract
This paper mainly presents the system architecture of an agent-based collaborative information processing in mixed reality applications. We model system elements as agents with different processes, data, and applications. Various types of agents and mixed-agent groups are discussed, and the combination of agents as agent-groups are designed to perform the tasks including sensing, user-identification, feature learning and target of interest differentiation, 3D modeling, mixed reality fusion, and interaction. We design an agent-based collaboration strategy with concurrent operation coordination using a serial logic scheduling strategy. The integrity of the system and the correctness of scheduling is guaranteed by using lock-based coordination with timeouts strategy.
| Original language | English |
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| Title of host publication | Proceedings of the 13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018 |
| Publisher | IEEE |
| Pages | 633-638 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781538637579 |
| DOIs | |
| Publication status | Published - 26 Jun 2018 |
| Event | 13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018 - Wuhan, China Duration: 31 May 2018 → 2 Jun 2018 |
Publication series
| Name | Proceedings of the 13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018 |
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Conference
| Conference | 13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018 |
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| Country/Territory | China |
| City | Wuhan |
| Period | 31/05/18 → 2/06/18 |
Bibliographical note
Publisher Copyright:© 2018 IEEE.
Keywords
- agent-based systems
- collaborative information processing
- concurrent transaction coordination
- intelligent mixed reality
- multi-task scheduling