in this paper, two methods have been used: multi-layer perceptron artificial neural network (ann-mlp) and universal kriging to estimate of velocity field. neural network is an information processing system which is formed by a large number of simple processing elements, known as artificial nerves. it is formed by a number of nodes and weights connecting the nodes. the input data are multiplied ...

A SISO (Single Input Single Output) and a SIMO (Single Input Multiple Output) wireless transmission system operating in a Rayleigh distributed environment at the 434 MHz ISM band are investigated. The two systems are simulated using the Finite Difference Time Domain (FDTD) method, which enables the simultaneous characterization of the propagation channel and the immersed wire dipoles antennas. ...

Lovell and Rouse (LR) have recently proposed a modification of the standard DEA model that overcomes the infeasibility problem often encountered in computing super-efficiency. In the LR procedure one appropriately scales up the observed input vector (scale down the output vector) of the relevant superefficient firm thereby usually creating its inefficient surrogate. An alternative procedure pro...

the main goal of this study was to investigate the way of affecting of water in production of cucumber. from aspect of econometrics, mutual relationships of production function and expenses have been analyzed in which translog cost function has been used. this function has been estimated using the conditional input demand functions, the shefard theorem, chemical fertilizer, animal fertilizer, l...

Learning distance functions with side information plays a key role in many machine learning and data mining applications. Conventional approaches often assume a Mahalanobis distance function. These approaches are limited in two aspects: (i) they are computationally expensive (even infeasible) for high dimensional data because the size of the metric is in the square of dimensionality; (ii) they ...

[x]i = (x (0) 0 , . . . , x (k−1) 0 , x (0) 1 , . . . , x (k−1) 1 , . . . , x (0) i−1, . . . , x (k−1) i−1 ), [y]i = (y (0) 0 , . . . , y (n−1) 0 , y (0) 1 , . . . , y (n−1) 1 , . . . , y (0) i−1, . . . , y (n−1) i−1 ). The column distance function (CDF) di is the minimum Hamming distance between all pairs of output sequences truncated at length i given that the input sequences differ in the fi...

aging has negative effects on motor and cognitive functions, therefore finding appropriate strategies to prevent the decline of these functions is necessary. it seems that cardiovascular fitness obtained by aerobic activity is a physiological mediator that explains the relationship between physical activity and improved cognitive performance. the aim of this research was to assess the effects o...

We investigate the characteristics of constant-amplitude input shapers for robust time-optimal maneuvers of exi-ble structures. Trends in the timing of the shaper impulses are shown as a function of the system damping constant and move distance. The insensitivity to modeling errors, time-optimality, amount of vibration caused during maneuvers, and high frequency excitation of these shapers are ...