access icon free An HSR Data Model for Cyborg Insect Research Experiments

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.

Inspec keywords: real-time systems; data models; scheduling; distributed sensors; data integration; biology computing; artificial intelligence; meta data

Other keywords: insect-machine experiment platform; meta data integration method; cyborg intelligent insects; cyborg insects; data synchronization; multimodal signals; Hybrid-synchronized-realtime data model; cyborg insect research experiments; hybrid data integration; hybrid raw data channels; distributed sensing models; cyborg intelligent insect research; HSR data model; real-time processing; frontier research; animal experiments

Subjects: Biology and medical computing; Optimisation techniques; Multimedia communications; Aerospace control; Computer communications; Knowledge engineering techniques; Combinatorial mathematics; Expert systems and other AI software and techniques; Sensor fusion; Sensing devices and transducers; Multimedia; Signal processing and detection

http://iet.metastore.ingenta.com/content/journals/10.1049/cje.2017.08.010
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content/journals/10.1049/cje.2017.08.010
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