We propose a new shipboard crane configuration for offloading cargo in open seas. We show that the “Maryland Rigging” crane of ship’s configuration, used in association with a friction control mechanism, provides a very effective method for reducing load pendulation caused by the motion of the crane in the roll direction. The effectiveness of the control technique is obtained by comparing the p...

Image segmentation plays an important role in many systems of computer vision. According to criterions of many authors the segmentation finishes when it satisfies the goals of the observer. For that reason, an only method there is not able of solving all the problems that exists in the present time. In this work, we carry out a comparison between two segmentation techniques; namely, through the...

We have studied the Cramér–Rao bounds (CRB’s) on size and orientation of a known object using the scattered (acoustic or electromagnetic) field. A circular array of transievers surrounding the object under test is proposed. The CRB’s are theoretically derived and compared with the mean square errors computed via Monte Carlo simulations. The CRB’s are found to increase rapidly with wavelength. F...

We investigate a stochastic evolution equation for the motion of a second grade fluid filling a bounded domain of R. Global existence and uniqueness of strong probabilistic solution is established. In contrast to previous results on this model we show that the sequence of Galerkin approximation converges in mean square to the exact strong probabilistic solution of the problem. We also give two ...

The mean shift iterative algorithm was proposed in 2006, for using the entropy as a stopping criterion. From then on, a theoretical base has been developed and a group of applications has been carried out using this algorithm. This paper proposes a new stopping criterion for the mean shift iterative algorithm, where stopping threshold via entropy is used now, but in another way. Many segmentati...

In order to improve Mean Square Error of its reliance on reference images when evaluating image sharpness, the no-reference metric based on algebraic multi-grid is proposed. The proposed metric first reconstructs the original image by Algebraic Multi-grid (AMG), then compute the Mean Square Error between original image and reconstructed image, the result represents image sharpness. Experiments ...

Recently we have proposed a maximum-likelihood iterative algorithm for estimation of parameters of the Nakagamim distribution. This technique performs better than state of art estimation techniques for this distribution. This could be of particular use in low-data/block based estimation problems. In these scenarios, the estimator should be able to give accurate estimates (in the mean square sen...

In this paper, we establish asymptotic normality of Powell’s kernel estimator for the asymptotic covariance matrix of the quantile regression estimator for both i.i.d. and weakly dependent data. As an application, we derive the optimal bandwidth that minimizes the approximate mean squared error of the kernel estimator.

Many source localization methods neglect the anisotropic conductivity of brain tissues, although it has a big influence on the localization problem. In this study, we evaluated the dipole localization error due to neglecting the anisotropic properties of the conductivity in a realistic head model (built from T1 and diffusion tensor MRI) calculated using a FDM method. Results show that the mean ...

Traditional three-dimensional gait analyses require the skilled palpation of anatomical landmarks to identify joint parameters and produce reliable joint kinematics. Functional methods have been developed to help improve the reliability and validity of identifying joint kinematic parameters. The purpose of this study was to investigate whether a functional method could improve the between-day r...