Researchers from the Institute of Acoustics proposed an efficient deep learning model for fast and accurate vision-based fire detection. The model is based on multiscale feature extraction, implicit deep supervision, and channel attention mechanism.
Researchers from the Shenzhen Institutes of Advanced Technology (SIAT), together with the City University of Hong Kong (CityU), have developed an agglutinate, reprogrammable, disintegrable and biocompatible magnetic spray (M-spray) that can easily turn inanimate objects into millirobots.
In a study published online in The Journal of the Acoustical Society of America, the researchers from the Institute of Acoustics of the Chinese Academy of Sciences (IACAS) proposed a passive source localization method based on multi-task learning (MTL) suitable for mismatched environments.
The researchers from the Institute of Acoustics of the Chinese Academy of Sciences proposed an adaptive turbo equalizer (TEQ) for differential orthogonal frequency-division multiplexing (OFDM) systems. The study provides a possible solution for the realization of high-performance low-complexity mobile OFDM UAC system and has a good application value.
The researchers from the Institute of Acoustics of the Chinese Academy of Sciences proposed a passive broadband source depth estimation method using a single vector sensor in deep ocean. They took advantage of the depth-dependent modulation changes of the interference structure along the frequency domain at a certain arrival angle. Afterwards, the source depth could be estimated directly.
A research team from the Institute of Acoustics proposed a rigorous coupled-wave analytical method to analyze the diffraction of acoustic parity-time-symmetric gratings.
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