An Efficient Compression Method of Underwater Acoustic Sensor Signals for Underwater Surveillance.

In this paper, we propose a new compression method using underwater acoustic sensor signals for underwater surveillance. Generally, sonar applications that are used for surveillance or ocean monitoring are composed of many underwater acoustic sensors to detect significant sources of sound. It is necessary to apply compression methods to the acquired sensor signals due to data processing and storage resource limitations.

Enhanced luminescence of CsPbBr perovskite nanocrystals on stretchable templates with Au/SiO plasmonic nanoparticles.

We propose stretchable plasmonic templates of Au and Au/SiO nanoparticles (NPs) to improve the luminescence of CsPbBr perovskite nanocrystals (PNCs). These templates are highly flexible and consist of polymer-metal NP composites that facilitate the luminescence enhancement by localized surface plasmons (LSPs) due to coupling with metal NP. This template also prevents the degradation of carrier transport properties for perovskite light-emitting diodes by embedding metal NPs in polymer.