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In this paper, we propose time series prediction methods for depth-averaged current velocities (DACVs) of underwater gliders. Based on historical DACV data, these methods can predict the DACVs of future profiles with good performance. Regarding DACVs as time series, we use backpropagation neural network and least squares support vector machine (LSSVM) methods to predict the DACVs. To obtain better...
The mining robot, which has a large size and weight, is easy to slip and sink during the mining process. For this problem, we propose hydraulic station suspension technology in this paper. By using the technology, the hydraulic station is separated from the mining robot and designed as an independent floating body, which is helpful for increasing the travelling capability of mining robot. The relative...
Depth-averaged ocean current plays a significant role in marine scientific research, in particular, which is valuable for the navigation of underwater gliders. In this paper, we study the estimation and forecast of depth-averaged ocean current using underwater gliders. By considering three factors: the seawater density difference, the pressure hull compression deformation and the unstable depth intervals...
Underwater vehicle is an important tool in the exploration, survey and investigation of the ocean and have many scientific, military, and commercial applications. To develop an underwater vehicle is not an easy task; a reliable underwater vehicle requires a thorough system design and many costly field tests during which system specifications can be validated, and these field tests can be hard and...
A set of information acquisition and monitoring system of subsea observatory network was designed. A kind of monitoring system transmitting IP packets by optical network based on event-triggered and timing-driven was proposed. A sort of overall framework of the monitoring and control system was put forward, which is composed of the shore station control center layer, the optical transmission backbone...
When monitoring spatial phenomena, we are not just interested in measurements at sensed locations but also at locations where no sensors were placed. To estimate the scalar field where no sensors are deployed, we need to interpolate the data. This paper shows how sampling schemes can be optimized by minimizing the integrated Kriging variance based on known covariance (variogram). We propose two approaches...
When monitoring spatial phenomena, we are not just interested in measurements at sensed locations but also at locations where no sensors were placed. To estimate the scalar field where no sensors are deployed, we need to interpolate the data. We are interested in how the best sampling design is to be found and best used to draw conclusions about the field as whole. First of all, a performance metric...
This paper presents an approach of modeling for Fiber Optic Micro Cable (FOMC), constructs a coupled nonlinear model for Remotely Operated Vehicle(ROV) connected with FOMC, and makes computer simulation at last. The model of FOMC takes use of the lumped mass method in which FOMC is considered to be a system of micro units connected by elastic non-mass spring. Four order Runge-Kutta method is used...
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