Unmanned surface vehicles: An overview of developments and challenges

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Guidance And Control Of Ocean Vehicles

Advances in global linear instability analysis of nonparallel and three-dimensional flows

The development of the One Atmosphere Uniform Glow Discharge Plasma has made it possible to cover the wings and fuselage of aircraft with a thin layer of glow discharge plasma at low energy cost. This plasma layer provides, through Lorentzian collisions, a purely electrohydrodynamic coupling between an electric field and the neutral gas in the boundary layer. This coupling is strong enough to cause aerodynamically significant acceleration and manipulation of the boundary layer and free stream flow, including re-attachment of flow to an airfoil at high angles of attack, and the peristaltic induction of neutral gas flow by a traveling electrostatic wave on the surface of a flat plate.

Aerodynamic flow acceleration using paraelectric and peristaltic electrohydrodynamic effects of a One Atmosphere Uniform Glow Discharge Plasma

The subject of ocean turbulence is in a state of discovery and development with many intellectual challenges. This book describes the principal dynamic processes that control the distribution of turbulence, its dissipation of kinetic energy and its effects on the dispersion of properties such as heat, salinity, and dissolved or suspended matter in the deep ocean, the shallow coastal and the continental shelf seas. It focuses on the measurement of turbulence, and the consequences of turbulent motion in the oceanic boundary layers at the sea surface and near the seabed. Processes are illustrated by examples of laboratory experiments and field observations. The Turbulent Ocean provides an excellent resource for senior undergraduate and graduate courses, as well as an introduction and general overview for researchers. It will be of interest to all those involved in the study of fluid motion, in particular geophysical fluid mechanics, meteorology and the dynamics of lakes.

https://assets.cambridge.org/97805218/35435/frontmatter/9780521835435_frontmatter.pdf

The Turbulent Ocean

Available ocean model and physically measured data from the Florida Current are analyzed to provide a detailed assessment of the hydrokinetic energy resource of the Florida Current, in support of harnessing a portion of it using ocean energy conversion devices. It has been estimated that approximately 25 GW of hydrokinetic power is available in the Florida Current. Fluctuations in this energy resource are described. Based on the analysis, realistic parameters governing where hydrokinetic energy extraction devices-turbines-may be ideally installed are discussed. An energy resource assessment methodology that has been developed is described. It can be used as a design tool for implementation of arrays of ocean energy extraction devices.

An Assessment of the Hydrokinetic Energy Resource of the Florida Current

Bathymetry, current, temperature, and depth (CTD) measurements using a small, mobile, autonomous underwater vehicle (AUV) platform are described. Autonomous surveys of a shallow water column off the east coast of Florida during December 1997 were carried out using a 2.13-m long, 0.53-m maximum diameter Ocean Explorer series AUV, equipped with a 1200-kHz acoustic Doppler current profiler (ADCP) and a CDT package. At a speed of 1‐2 m s21, this AUV can perform preprogrammed missions over a period of several hours, collecting in situ oceanographic data and storing it on an onboard datalogger. The vehicle may also carry sidescan sonar or a custom small-scale turbulence measurement package or other instruments for subsidiary measurements. The versatility of the AUV allows measurement of oceanographic data over a substantial region, the motion of the platform being largely decoupled from that of any surface mother ship. In the missions of 5 and 11 December 1997, ‘‘lawn mower pattern’’ AUV surveys were conducted over 1 km2 regions on the east coast of Florida, north of Fort Lauderdale, at depths of 7 and 3 m, respectively, in a water column where the depth ranged from 10 to 32 m. During 5 December, the region was subjected to a cold front from the northwest. Local wind measurements show presence of up to 10 m s21 winds at temperatures of up to 108‐158C below normal for the time of the year. The fixed ADCP indicates occurrence of significant internal wave activity in the region. The data collected using the mobile AUV are utilized to develop a map of the bottom topography and examine current, temperature, and density variations in the context of the background information from a fixed bottom‐mounted ADCP and Coastal-Marine Automated Network buoys. The work described here is a significant step in the development of an autonomous oceanographic sampling network, illustrating the versatility of an AUV platform. The data collected during the missions described will form part of a bank for information on the impact of a cold front on shallow subtropical waters. The authors expect to repeat the missions during other such fronts.

/pdf/coastal-oceanography-using-a-small-auv-54nlosa01u.pdf

Coastal Oceanography Using a Small AUV

Automatic target recognition using autonomous underwater vehicles and involving side-scan sonar imagery is of significant interest in both military and commercial applications. Adaptation of a state-of-the-art deep learning method for object detection in side-scan sonar imagery is described. Results of application of the method to available data support the approach as simple yet robust in detecting objects/anomalies along the seabed. A systematic procedure was employed in transfer learning a pre-trained convolutional neural network in order to learn the pixel-intensity based features of seafloor anomalies in sonar images. Using this process, newly trained convolutional neural network models were produced using relatively small training datasets and tested to show reasonably accurate anomaly detection and classification with little to no false alarms.

A Deep Learning Approach to Target Recognition in Side-Scan Sonar Imagery

Stereovision-based target tracking system for USV operations

The incompressible boundary layer in the corner formed by two intersecting perpendicular semi-infinite planes is investigated; the freestream flow, aligned with the corner, is of the form xn,x repr...

Manhar R. Dhanak

Papers

An Assessment of the Hydrokinetic Energy Resource of the Florida Current

Coastal Oceanography Using a Small AUV

A Deep Learning Approach to Target Recognition in Side-Scan Sonar Imagery

Stereovision-based target tracking system for USV operations

The effects of freestream pressure gradient on a corner boundary layer