A great deal of research on coach-athlete interactions during competition has focused team sports, something which does not consider the many contextual differences between and individual sports. Diving is an sport where recurrent intermittent breaks dives in provide athletes coaches with opportunities to communicate interact event. The purpose this study was understand elite divers’ perspectiv...

Deviating multivariate observations are used typically to test the performance of outlier detection methods. Yet, generation outlying cases itself usually appears as a secondary methodological step in methods comparison. In literature, outliers defined using certain distribution parameters which differ from those clean or reference data. However, these change among authors, leading lack standar...

with respect to the new aspects of earthquake engineering in the area of performance besed design, accurate estimation of structural response becomes more important. this requires precise recognizing of relevant parameters in the behavior of structures and using proper methods for applying the effects of distribution of these parameters in the desired response. in this study the effect of distr...

more often clay matrix is the major factor to reduce the porosity and permeability in sandstone facies. consequently determination of clay minerals is of prime importance in reservoir quality assessment. the present study aims to identify four different types of clay mineral namely kaolinite, illite/cholorite, halloysite, and montmorilonite from petrophysical logs (pls) using cation exchange ca...

Associative classification is a recent and rewarding technique which integrates association rule mining and classification to a model for prediction and achieves maximum accuracy. Associative classifiers are especially fit to applications where maximum accuracy is desired to a model for prediction. There are many domains such as medical where the maximum accuracy of the model is desired. Heart ...

In the world of 3D graphics many applications require the ability to render large 3D terrains in an efficient manner. To satisfy this need, algorithms have been devised that render height fields using a real-time continuous level of detail technique. Instead of drawing each of the many triangles that can make up a terrain, this technique renders the terrain with a highly reduced number of polyg...

In many fields one encounters the challenge of identifying out of a pool of possible designs those that simultaneously optimize multiple objectives. In many applications an exhaustive search for the Pareto-optimal set is infeasible. To address this challenge, we propose the -Pareto Active Learning ( -PAL) algorithm which adaptively samples the design space to predict a set of Pareto-optimal sol...

Small relative perturbations to the entries of an essentially nonnegative matrix introduce small relative errors to entries of its exponential. It is thus desirable to compute the exponential with high componentwise relative accuracy. Taylor series approximation coupled with scaling and squaring is used to compute the exponential of an essentially nonnegative matrix. An a priori componentwise r...

Despite efforts to design precise motor controllers, robot joints do not always move exactly as desired. This paper introduces a general model-based method for improving the accuracy of joint control. First, a model that predicts the effects of joint requests is built based on empirical data. Then this model is approximately inverted to determine the control requests that will most closely lead...

We describe a method to speed up microelectromechanical system (MEMS) mirror scanning by > 20x, while also improving scan accuracy. We use Landweber deconvolution to determine an input voltage which would produce a desired output, based on the measured MEMS impulse response. Since the MEMS is weakly nonlinear, the observed behavior deviates from expectations, and we iteratively improve our inpu...