in recent years, wind energy has a remarkable growth in the world, but one of the important problems of power generated from wind is its uncertainty and corresponding power. for solving this problem, some approaches have been presented. recently, the artificial neural networks (ann) as a heuristic method has more applications for this propose. in this paper, short-term (1 hour) and mid-term (24...

the use of neural networks methodology is not as common in the investigation and pre-diction noise as statistical analysis. the application of artificial neural networks for pre-diction of power tiller noise is set out in the present paper. the sound pressure signals for noise analysis were obtained in a field experiment using a 13-hp power tiller. during measurement and recording of the sound ...

this study attempts to find if better performance in power play leads a team to victory in a twenty20 match. based on the methodology devised to do so, the study tries to measure the performance of both the teams during power play overs in terms of batting and bowling. the developed measure is called ‘prod’ which is a product of the difference of batting and bowling performance of the teams dur...

Aerobic power (VO2max) is an important indicator of the health and physical fitness. Executive problems in direct VO2max measurement has led to developing sub-maximal aerobic power prediction equations. The purpose of present study was to develop native aerobic power prediction equation based on 6-Minute Walk Test (6MWT) and body composition indices in children. In 192 healthy children (8 to 12...

according to this fact that wind is now a part of global energy portfolio and due to unreliable and discontinuous production of wind energy; prediction of wind power value is proposed as a main necessity. in recent years, various methods have been proposed for wind power prediction. in this paper the prediction structure involves feature selection and use of artificial neural network (ann). in ...

The paper describes our proposal for adopting 3D spatial representation, based on suitable indications and metrics, for the evaluation of experiences conducted in a Personal Learning Environment (PLE) and its social extension, the Personal Learning Network (PLN). The use of 3D space is a mean for integrating different perspectives (e.g., structured and non-structured learning) but also to foste...