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An HSR Data Model for Cyborg Insect Research Experiments
Author(s) -
HONG Hui,
WANG Xiaoyu,
ZHU Zhengfei,
MA Qian,
GUAN Nan,
ZHENG Nenggan
Publication year - 2018
Publication title -
chinese journal of electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.267
H-Index - 25
eISSN - 2075-5597
pISSN - 1022-4653
DOI - 10.1049/cje.2017.08.010
Subject(s) - insect , computer science , geology , paleontology
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.

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