A new salient semantics-less blob detector named the Stable Wave Detector (SWD) is suggested. The detector proved to be particularly very useful in tracking a target in a videosequence. SWD is a multiscale blob detector in the intensity image. The targets are blobs in 2D which correspond to local maxima/minima of the image intensities or positive and negative peaks in 1D. SWD belongs to a group...

wind speed is one of the characteristics of wind energy which its data is extracted from meteorological stations. in this study, the data obtained from the weather station in the city eqlid during a ten-year period has been used. weibull distribution was chosen as the best distribution function using fitting tests and estimation of some statistical parameters. the results showed that the averag...

The direction and speed of winds play an important role in the occurrence of pollutions and dust stormas well as location placement for the establishment of industries and the expansion of cities. Yazd is a dry area of Iran, and constantly exposed to the dust particles in the air; and this in terms of human life and health issues are of special importance. In this paper a day when due to the am...

The direction and speed of winds play an important role in the occurrence of pollutions and dust stormas well as location placement for the establishment of industries and the expansion of cities. Yazd is a dry area of Iran, and constantly exposed to the dust particles in the air; and this in terms of human life and health issues are of special importance. In this paper a day when due to the am...

Epilepsy is a disease marked by hypersynchronous bursts of neuronal activity; therefore, identifying the network characteristics of the epileptic brain is important. Juvenile myoclonic epilepsy (JME) represents a common, idiopathic generalized epileptic syndrome, characterized by spike-and-wave discharge (SWD) electroencephalographic (EEG) waveforms. We compare herein the network properties of ...

the renewable energy resources such as wind power have recently attracted more researchers’ attention. it is mainly due to the aggressive energy consumption, high pollution and cost of fossil fuels. in this era, the future fluctuations of these time series should be predicted to increase the reliability of the power network. in this paper, the dynamic characteristics and short-term predictabili...

In this paper, a comparison study is presented on artificial intelligence and time series models in 1-hour-ahead wind speed forecasting. Three types of typical neural networks, namely adaptive linear element, multilayer perceptrons, and radial basis function, and ARMA time series model are investigated. The wind speed data used are the hourly mean wind speed data collected at Binalood site in I...

Spike-and-wave discharge is an electroencephalographic brainwave found in many rodent species and studied rigorously in inbred laboratory rats (WAG/Rij and GAERS strains) for its similarities to absence epilepsy. The absence epilepsy research field, however, is divided on just how similar SWD in rats is to absence epilepsy in humans. Albino Sprague Dawley rats are an outbred strain used in many...

PURPOSE While decades of research were devoted to study generation mechanisms of spontaneous spike and wave discharges (SWD), little attention has been paid to network mechanisms associated with the spontaneous termination of SWD. In the current study coupling-dynamics at the onset and termination of SWD were studied in an extended part of the cortico-thalamo-cortical system of freely moving, g...

Epileptic activity in the form of spike-wave discharges (SWD) appears in the electroencephalogram (EEG) during absence seizures. A relationship between SWD and normal sleep spindles is often assumed. This study compares time-frequency parameters of SWD and sleep spindles as recorded in the EEG in the WAG/Rij rat model of absence epilepsy. Fast Fourier transformation and continuous wavelet trans...