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An HSR data model for cyborg insect research experiments

  • Hui Hong
  • , Xiaoyu Wang
  • , Zhengfei Zhu
  • , Qian Ma
  • , Nan Guan
  • , Nenggan Zheng*
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

Research on cyborg intelligent insects requires the experiment platform to collect data from the distributed sensing models and process the multi-modal signals in real-Time. To overcome these issues, we present a novel data model, naming as the Hybrid-synchronizedrealtime (HSR) data model, which can synchronize the hybrid raw data channels by a meta data integration method and process them with a fixed priority scheduling algorithm. Real animal experiments show that the insect-machine experiment platform based on the HSR data model can fully satisfy the requirements of cyborg intelligent insect research, especially in dealing with the technical challenges of data synchronization, real-Time processing and hybrid data integration. It provides an efficient approach to implement the experiment platform and thus aid the frontier research on cyborg insects.
Original languageEnglish
Pages (from-to)680-686
JournalChinese Journal of Electronics
Volume27
Issue number4
DOIs
Publication statusPublished - 10 Jul 2018
Externally publishedYes

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Research Keywords

  • Cyborg intelligent insects
  • Data model
  • Hybrid-synchronized-realtime (HSR).

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