Segmentation of real world images considered as one of the most challenging tasks in the computer vision field due to several issues that associated with this kind of images such as high interference between object foreground and background, complicated objects and the pixels intensities of the object and background are almost similar in some cases. This research has introduced a modified adaptive segmentation process with image contrast stretching namely Gamma Stretching to improve the segmentation problem. The iterative segmentation process based on the proposed criteria has given the flexibility to the segmentation process in finding the suitable region of interest. As well as, the using of Gamma stretching will help in separating the

Wireless Multimedia Sensor Networks (WMSNs) are a type of sensor network that contains sensor nodes equipped with cameras, microphones; therefore the WMSNS are able to   produce multimedia data such as video and audio streams, still images, and scalar data from the surrounding environment. Most multimedia applications typically produce huge volumes of data, this leads to congestion. To address this challenge, This paper proposes Modify Spike Neural Network control for Traffic Load Parameter with Exponential Weight of Priority Based Rate Control algorithm (MSNTLP with EWBPRC). The Modify Spike Neural Network controller (MSNC) can calculate the appropriate traffi

Background: Saliva is a specific bio-fluid with important biomarkers. Analyzing any alternation in these markers could give valuable information, in relation to oral health status parameters. The aim of this study was to investigate the level of α -amylase in unstimulated whole saliva of healthy, primary school children in relation to some oral health parameters. Materials and Methods: A questionnaires consisted of demography and medical histories of participants were filled by children families. Saliva samples were collected for 5- minutes between 9:00 -11:00 AM from 114 healthy students aged 6-13 years, divided into four age groups. Flow- rate, Plaque and Gingival Index were assessed and dentition status was investigated by DMFT/dmft

The use of the concept of (quality), which is purely administrative, and part of the system of competitive activity (private), within the framework (judicial) (public), in a manner that helps achieve the strategic objective of the judiciary, which is to maintain its leading position among the means of dispute settlement, with Upgrading (products) of judgments and fatwas, in order to achieve excellence in its performance, and to ensure the satisfaction of (adversaries) when they resort to him, and not to look for other alternatives, which helps the judicial institution (public) to improve in the provision of (services), and this is achieved by benefiting from The advantages offered by TQM in its concept (private institutions).

Background: several new inflammatory markers have emerged as strong predictors of cardiovascular disease in healthy and non-healthy subjects, one of these markers is hs-CRP, which has been proposed as independent risk factor for cardiovascular disease, and it is positively associated with body weight. Little is known, however, about the utility of hs-CRP and other biomarkers in obese hypertensive Iraqi post menopausal women.The aim of study is to examine the hypothesis that there is a relation between obesity, hypertension and a chronic low-grade inflammatory status (represented by high hs-CRP).
Patients and Methods: A total number of 99 postmenopausal women classified into obese hypertensive group (

Student performance may influence by several factors in all his study levels such as primary school, intermediate school and even in his college; some of these factors are psychological factors, social factors, and the factors which correlate with student environment.

In this paper we study some of these factors to discover their influence by using canonical correlation analysis to analyze the data. Many conclusions are discovered to help who focuses student performance or to make it pest in future.

Abstract 

This paper presents an intelligent model reference adaptive control (MRAC) utilizing a self-recurrent wavelet neural network (SRWNN) to control nonlinear systems. The proposed SRWNN is an improved version of a previously reported wavelet neural network (WNN). In particular, this improvement was achieved by adopting two modifications to the original WNN structure. These modifications include, firstly, the utilization of a specific initialization phase to improve the convergence to the optimal weight values, and secondly, the inclusion of self-feedback weights to the wavelons of the wavelet layer. Furthermore, an on-line training procedure was proposed to enhance the control per