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Q: Is autonomous sampling the future of ocean science?
An adaptive sampling plan is then predicted, using the uncertainty of the acoustic predictions as input to an optimization scheme which finds the parameter values of autonomous sampling behaviors that optimally reduce this forecast of the acoustic uncertainty.
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Adaptive Rapid Environmental Assessment (AREA) is an adaptive sampling concept being developed in connection with the emergence of Autonomous Ocean Sampling Networks and interdisciplinary ensemble predictions and adaptive sampling via Error Subspace Statistical Estimation (ESSE).
To achieve reliable and autonomous regolith sampling from asteroids in space, the authors have developed a new sampling system that utilizes electrostatic force.
The goals of the Autonomous Ocean Sampling Network (AOSN) are reviewed and progress toward those goals is assessed based on results of recent, major field experiments.
Impact of HF radar surface-current assimilation on ocean circulation model predictions in the Monterey Bay area is studied and evaluated during the time frame of the Autonomous Ocean Sampling Network (AOSN-II) experiment (August September 2003).
An articulation of a sample autonomous WSAN environment is shown in Figure1. Figure 1 An example of autonomous WSAN setup.
We describe the design and application parameters of the GeoMICROBE instrumented sled, an autonomous sensor and fluid sampling system.
We achieve this via adaptive, simulation-based testing of the autonomous system where each sample represents a simulated scenario.
We report results from a new autonomous Water and Microplankton Sampler (WaMS) that is carried within the Continuous Plankton Recorder (CPR).
The use of pressurized air chambers and controlled microvalves allows the impulsion of fluidic samples for autonomous mixing, avoiding the use of external pumps and improving the portability.
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