An HSR data model for cyborg insect research experiments

Hui Hong, Xiaoyu Wang, Zhengfei Zhu, Qian Ma, Nan Guan, Nenggan Zheng

Research output: Journal article publicationJournal articleAcademic researchpeer-review

2 Citations (Scopus)

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
Number of pages7
JournalChinese Journal of Electronics
Volume27
Issue number4
DOIs
Publication statusPublished - 10 Jul 2018

Keywords

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

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Applied Mathematics

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