Long-term monitoring of the ocean, for instance its seismic activity, remains a technical and a financial challenge. Despite technological advances in reducing the size and consumption of electronic components, in providing powerful energy through Lithium batteries, and in reducing the size of sensors, the new generation of stand-alone instruments such as Ocean Bottom Seismometers (OBS) cannot be deployed on average for more than a year on the seafloor and provide access to their data only upon their recovery. Any long-term monitoring thus implies multiple cruises and redeployments. Permanent observatories with real-time access to data require ambitious cabled-to-shore sensors and infrastructures. Here we propose an alternative solution bridging the gap between these two endmembers, consisting of multi-parameter platforms for seafloor (MUG-OBS) or water-column (HYDROBS) observations, and offering a lifespan of four years and an access to the collected data through data-shuttles releasable on demand from a surface ship.
A new method for data integrity on ATM protocol is proposed. The algorithm represents image data via a new transform called the Mojette. The transform and its inverse are in order of complexity of the Fast Fourier Transform. An Object Oriented Model for image and sequence are presented. The method is tested on videoendoscopic sequences. This source-channel coding avoid any additional protocol over ATM to secure data and provide real-time possibilities.(TCP) over the classical Internet Protocol (IP). As a matter of fact, the IP encapsulation over ATM is the most common way of using ATM today with the LAN Emulation (LANE) where Ethernet or Token Ring frames are converted into ATM cells. 200 SPIE Vol. 3035 • 0277-786X/971$10.00 Downloaded From: http://proceedings.spiedigitallibrary.org/ on 06/29/2016 Terms of Use: http://spiedigitallibrary.org/ss/TermsOfUse.aspx
This paper proposes the supervised classification of different acoustics signatures employed for fish monitoring by active ultrasound systems. The obtained results are analysed, both qualitatively and quantitatively, by taking into consideration three target types (trout, wood and vegetal debris).
This paper illustrates our recent advances in terms of supervised classification of different acoustics signatures employed for fish monitoring by the ACOUEAU active ultrasound system. The obtained results are analyzed, both qualitatively and quantitatively, by taking into consideration five target types.
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