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Showing posts with the label Underwater vehicles

Ethical Fishing Aboard the Miami Science- Juniper Publishers

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  Juniper Publishers -  Journal of Oceanography Introduction Background:  Recreational fishing is a multi-billion dollar industry in the state of Florida according to the Florida Fish and Wildlife Commission (FFWC). In recent years recreational saltwater fishing license sales have exceeded a count of 1.5 million annually . With millions of people taking to the water every year to try their luck in some of the best fishing waters around the water, there is a significant need for angler education about the legal, ethical, and sustainable implications that surround angling in south Florida. Shown in  Figure 1 , the Miami Science Barge (the Barge) has been docked on the waters of Biscayne Bay just north of downtown Miami since April of 2016. The only program of its kind in Miami-Dade County, this 4,000 square foot platform operates research-scale systems for sustainable aquaculture and agriculture, renewable energy, environmental restoration, and water conservation. Winn...

An Acoustic Archival Tag for Long-Range Tracking Of Small Fishes- Juniper Publishers

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  Juniper Publishers -  Journal of Oceanography Abstract This mini review describes the development of an acoustic tag for long-range (tens to hundreds of kilometers) tracking of small fishes or other marine animals. Tracking is achieved by standard RAFOS triangulation using the arrival times of unique sound signals emitted by moored sources. The tag also records temperature and pressure. All functions of the tag are controlled by an application specific microchip. The collected acoustic and sensor data are stored in a non-volatile memory. A cylindrical hydrophone of 25.4mm length and 10.7mm diameter also serves as housing for all electronic components. Power is provided by 2 button cell batteries, which enable an active tag lifetime of approximately two years. Go to Introduction Much has been learned about the behavior of fishes during the past few decades through various kinds of data storage tags (DSTs), which were attached either externally to the back of the fish, or subc...

Modeling of the Heat Exchange Process in the Cylinder of Diesel between the Fuel Circuit and the Air Charge- Juniper Publishers

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  Juniper Publishers -  Journal of Oceanography Short Communication Studies of the process of atomization of fuel by injectors of ICE showed [ 1 , 2 ] that oxygen and fuel in the jet are distributed unevenly. The value of the excess air factor in the fuel flare decreases from 0.8-0.9 on its surface [ 3 ] to 0.15-0.25 at its center [ 4 ], and the droplet sizes increase from a few microns to 0. 1mm and more. The maximum diameter of the fuel droplets corresponds to the diameter of the nozzle nozzles of the injector [ 5 ]. Therefore, combustion begins on the surface of the fuel jets [ 6 ], and it is the heat and mass exchange surface between the fuel injected into the engine cylinder and the surrounding air charge. Professor V.I. Odintsov [ 7 ] proposed to assign the surface of the fuel flare to the cyclic fuel supply (F/gf). With the purpose of revealing quantitative regularities of the change in the exponent F/g, a simulation was carried out when fuel was supplied through one no...

Real Time Wave Prediction Using Neural Networks at Karwar, West Coast of India-Juniper Publishers

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  Juniper Publishers -  Journal of Oceanography Abstract The knowledge of ocean waves is an essential prerequisite for almost all activities in ocean. Traditional methods have disadvantages of excessive data requirement, time consumption and are tedious to carry out. ANN is being widely applied in coastal engineering field since last two decades in variety of time series forecasting. Study has been carried out to predict waves using FFBP and NARX networks. Wave data obtained from INCOIS is made use in the present study. Effect of network architecture on the performance of the model has been studied. It was found that for time series prediction NARX network outperforms FFBP. Keywords:  Artificial neural network; Feed forward back propagation network; Non-linear auto regressive with exogenous input; Coastal engineering Go to Introduction Accurate forecasting of wave characteristics is important for many coastal and marine activities. Different methods have been developed fo...