introduction abnormal neural impulses in the nervous system may lead to various diseases and disabilities. high frequency alternating currents (hfac) has been used to block the propagation of such impulses and improve the symptoms or disabilities. the technique is safe, reversible, and relatively selective, and its reliability, the optimum stimulation parameters, and elimination of the onset re...

We consider a mathematical model of epidemic spread  in which the  population  is partitioned  into five compartments of susceptible S(t), Infected I(t), Removed R(t), Prevented U(t) and the Controlled W(t). We assume each of the compartments comprises of cohorts of individuals which are  identical with respect to the disease status. We derive five systems of equations to represent each of the ...

We apply the two-sector production function developed by Ram (1986) to estimate the threshold regression model for Iran, concerning the effect of government size on economic growth. Three government size indicators are used to find out the different threshold points. The results show a non-linear relationship of the Armey curve in Iran, in which the threshold effects corresponding to total gove...

Laffer curve indicates relationship between tax rate and tax income. The aim of this paper is estimating of laffer curve in Iranian economy. To do so, we have used threshold regression method. Empirical results indicate that since the tax rate is low (the threshold value is less than 0.0848) in two-regime model, tax rate and tax income have a significant positive relationship, but when the tax ...

This paper deals with a delayed ratio-dependent functional response predator-prey model with a threshold harvesting policy. We study the equilibria of the system before and after the threshold. We show that the threshold harvesting can improve the undesirable behavior such as nonexistence of interior equilibria. The global analysis of the model as well as boundedness and permanence properties a...

ÐThe task of automatic gesture recognition is highly challenging due to the presence of unpredictable and ambiguous nongesture hand motions. In this paper, a new method is developed using the Hidden Markov Model based technique. To handle nongesture patterns, we introduce the concept of a threshold model that calculates the likelihood threshold of an input pattern and provides a confirmation me...

The scope of this paper is the interpretation of a user’s intention via a video camera and a speech recognizer. In comparison to previous work which only takes into account gesture recognition, we demonstrate that by including speech, system comprehension increases. For the gesture recognition, the user must wear a colored glove, then we extract the velocity of the center of gravity of the hand...