In this work, we present a system for the automated classification of seabed substrates in underwater video. Classification of seabed substrates traditionally requires manual analysis by a marine biologist, according to an established classification system. Accurate, consistent and robust classification is difficult in underwater video due to varying lighting conditions, turbidity and method of...

in this research genetic and phenotypic parameters were estimated using linear and threshold models, for reproductive traits, data from 6 large industrial dairy herd of east azerbaijan province collected by agriculture jihad organization during 10 years (2001-2010). best linear unbiased predictions of traits breeding values were estimated using restricted maximum likelihood method by wombat sof...

Counting benthic species from sea floor imagery is useful for evaluating the state of the local ecosystem. These images being taken by digital still Cameras mounted on ROVs (Remote Operating Vehicles) are used to capture images of animals on the seabed. The overlap between images must be detected in order to eliminate the possibility of counting the same individual more than once. In order to p...

In passive fathometer processing, the presence of wavelets in the estimate of the medium's Green's function corresponds to the location of reflectors in the seabed; amplitudes are related to seabed properties. Bayesian methods have been successful in identifying reflectors that define layer interfaces. Further work, however, revealed that phase shifts are occasionally present in the wavelets an...

This letter applies trans-dimensional Bayesian geoacoustic inversion to quantify the uncertainty due to model selection when inverting bottom-loss data derived from wind-driven ambient-noise measurements. A partition model is used to represent the seabed, in which the number of layers, their thicknesses, and acoustic parameters are unknowns to be determined from the data. Exploration of the par...

although, single-sided linear induction motor (slim) utilization has increased in railway applications due to their numerous advantages in comparison to rotational induction motors (rim), there are some sophistication in their mathematical models and electrical drive. this paper focuses on the problems of slim modeling, with assuming end-effect on the basis of field oriented control (foc) as a ...