This research aims to study the effects of weaknesses on the performance of the existing network such as the impact of Attenuation and crosstalk on the data transfer, and it presents also the improvements of the standards of DSL systems to achieve th
e maximum transition rates in order to have greater speed in the installation of high-speed subscriber lines.
It also offers a new range of services to communication companies through the provision of new xDSL technologies in the near future. Thus, it enables its customers access to broadband services and provides tips for the Syrian Telecommunications Company in their choice of systems.
This research analyses the essence of the techniques and the strengths and weaknesses of the criteria for All Digital Mode digital subscriber line mentioned in Annex A and for higher upstream digital subscriber line mentioned in Annex M. It also includes an analytical study of the damping and crosstalk to show how to consider any criteria as a better choice.
Finally, It includes programmatically represented simulation of the signal which is sent over transmission lines under the influence of the studied factors.
This Paper offers an innovative way for auto segmentation of the fetal head in
ultrasound US images. There is high amount of noise in US images, which it affects the
visual appearance of the area of head. The research depends on auto segmentation
mechanism without the need for user intervention at any stage of proposed method, so this
is what makes segmentation process is difficult and important at the same, because the
weakness of the edges and not fully enclosed in the desired region. We relied on a Level
Set method to segment the head area, after determining the initial contour automatically by
the Region Properties Function. The proposed method proves effective in the head area
segmentation without being influenced by noise or the existence of discontinuities in the
edges of the head, despite the absence of a pre-processing stage in a series of steps applied
to several ultrasound images in different sizes and sources. The last step is to calculate the
secondary diameter of the output ellipse (the fetal head sector) depending on the properties
of the region, and this final measurement represents the Bi Parietal Diameter BPD, an
important measure enables the physician to assess gestational age and determine the birth
of the fetus date. Segmentation result has been authenticated based on similarity criteria,
and the final measurement accuracy has been compared with manual measurements carried
out by a specialist. The comparison results showed the effectiveness of the proposed
algorithm and its success by up to 98%.
The entry of computer to many areas, such as medical field, led to develop new
technique that has led to the prosperity of these areas, and helped doctors to detect and
diagnose diseases accurately and credibility, where the experience of the docto
r in addition
to the accuracy of computer lead to access to the credibility of high patient and save
human lives.
A new approach for cardiac diseases detection and classification in ECG signals
images is proposed using Adaptive Neuro Fuzzy Inference System ANFIS.
The proposed approach is applied on database containing (147) ECG images,
each of them accompanied with its medical report. The medical reports were used to
validate the detection and classification.
The proposed method achieved a relatively high accuracy (97%) in detection and
classification processes.
The proposed approach is developed using MATLAB, and based on its libraries,
image processing, neural network and fuzzy logic.
The audio-visual speech recognition systems that rely on speech and
movement of the lips of the speaker of the most important speech
recognition systems. Many different techniques have developed in
terms of the methods used in the feature extracti
on and classification
methods.
Research proposes the establishment of a system to identify isolated
words based audio features extracted from videos pronunciations of
words in Arabic in an environment free of noise, and then add the
energy and Temporal derivative components in extracting features of
the method Mel Frequency Cepstral Coefficient (MFCC) stage.
This paper introduces a new approach to extract palm print features
and select the best ones. The paper also studies the effectiveness of
the selection process on speed and performance of system.
This Paper offers an effective method to measure the length of the
femur in Fetal Ultrasound Images, it applies a series of steps
starting with the reducing amount of noise in these images, and
then converted them to a binary form and uses morphol
ogical
operations to segment the femur and isolate it from the rest of the
image objects, then it applies an Edge Detector in order to find the
edges of the bone, then uses the Hough Transform to detect straight
lines in the image. we apply overlapping for resulted lines on the
original image, finally we choose the most significant and longest
straight line which is corresponding to the length of the femur. The
proposed method facilitates the measurement of the femur without
the help of a physician through a series of steps.
