With the continuous downscaling of semiconductor processes, the growing power density and thermal issues in multicore processors become more and more challenging, thus reliable dynamic thermal management (DTM) is required to prevent severe challenges in system performance. The accuracy of the thermal profile, delivered to the DTM manager, plays a critical role in the efficiency and reliability of DTM, different sources of noise and variations in deep submicron (DSM) technologies severely affecting the thermal data that can lead to significant degradation of DTM performance. In this article, we propose a novel fault-tolerance scheme exploiting approximate computing to mitigate the DSM effects on DTM efficiency. Approximate computing in hardw

Evolutionary·co.nipimit'iQo  is  a· c'!a s of glbbal ·searb  techniq

based on the lei.lffi:ing process ,of  g po_pl)'latiog-·of pote.n:tiaf solutions to

a  ven probl_e-ID'.  thahas .been  succe_ssfull'y  applied    19  v ety of

prQblern, lll thls paper a riew approach  to. design lie_ ural ne'twQj:ks

based oh ev.ohltipnary -computa.tio.rt i·s pre.Seri-L  _A   tine-f.!£ clurP.mosome

'repr:esentati:on  or the etwor}< i_s.  u_secl: 'Q.y  genetiC  gperntb_l:s, whicQ

allow th¢  voJution of.the   chitecture and' weight-s Â

The community service in its various forms topped up the alternative short term custodial sentence in some crimes, and experience has shown the success of this alternative in sparing the convicted negative effects of custodial sentences in all social, psychological and even economic aspects and on the other hand addressing the problem of overcrowding prisons. This penalty consists of requiring the convicted person to work certain hours in specific areas and within a certain period determined by the legislator. Through comparative analytical studies between Western and Arab legislation, we found there are such major differences in the ways in which [community service] has been worked out that it is impossible, indeed irresponsible, to tra

Most of the world's drilling companies use API method for calculating the
pressure drop in drilling oil and gas wells. Iraqi Drilling Company also uses this
method for drilling oil wells in all fields of Iraq. In Russia, the method is actively
used Grodde for calculating the pressure drop in drilling oil and gas wells. This
study includes a comparison of formulas API, Grodde and new techniques
developed methods for the laminar flow of viscoplastic fluids in the annular space.
The aim of this study is to determine the most accurate way to calculate the pressure
loss in drilling oil wells. The comparison was focused on identifying changes in the
values of β, using the above calculation methods.

The present work aims to study the effect of using an automatic thresholding technique to convert the features edges of the images to binary images in order to split the object from its background, where the features edges of the sampled images obtained from first-order edge detection operators (Roberts, Prewitt and Sobel) and second-order edge detection operators (Laplacian operators). The optimum automatic threshold are calculated using fast Otsu method. The study is applied on a personal image (Roben) and a satellite image to study the compatibility of this procedure with two different kinds of images. The obtained results are discussed.

The research aims to find approximate solutions for two dimensions Fredholm linear integral equation. Using the two-variables of the Bernstein polynomials we find a solution to the approximate linear integral equation of the type two dimensions. Two examples have been discussed in detail.

Many approaches of different complexity already exist to edge detection in
color images. Nevertheless, the question remains of how different are the results
when employing computational costly techniques instead of simple ones. This
paper presents a comparative study on two approaches to color edge detection to
reduce noise in image. The approaches are based on the Sobel operator and the
Laplace operator. Furthermore, an efficient algorithm for implementing the two
operators is presented. The operators have been applied to real images. The results
are presented in this paper. It is shown that the quality of the results increases by
using second derivative operator (Laplace operator). And noise reduced in a good

In this paper, we will give another class of normal operator which is (K-N)*
quasi-n-normal operator in Hilbert space, and give some properties of this concept
as well as discussion the relation between this class with another class of normal
operators.

Object detection in real time is considered as a challenging problem. However, it is very important in a wide range of applications, especially in field of multimedia. The players and ball are the most important objects in soccer game videos and detecting them is a challenging task because of many difficulties, such as shadow and illumination, ball size, ball occluded by players or merged with lines, and similar appearance of players. To overcome these problems, we present a new system to detect the players and ball in real-time by using background subtraction and Sobel detection. The results were more accurate and approximately two times faster than those using only background subtraction.