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Register a new userNetworks Management using the Ubuntu Server system
إدارة الشبكات باستخدام نظام أبونتو سيرفر
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Added by
Tishreen University مشروع تخرج
Publication date
2016
fields
Informatics Engineering
and research's language is
العربية
Created by
shadi yousef
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أتت فكرة المشروع من الأهمية المتزايدة للنظم المفتوحة المصدر في أيامنا هذه لاسيما الإمكانات الواسعة التي تتيحها هذه النظم في مجال إدارة الشبكات, حيث يهدف مشروعنا إلى إظهار مزايا نظام Ubuntu وذلك من خلال عرض وإعداد مجموعة من الخدمات التي يقدها في مجال إدارة الشبكات, وبالتالي إظهار الفائدة العلمية والعملية منها, حيث نرى الجانب العلمي من خلال شرح ماتقوم به كل خدمة وماهي البروتوكولات والآليات التي تبنى عليها الخدمة, والتي أيضاً تظهر بشكل واضح من خلال الجانب العملي لكل خدمة لمافيه من عرض شامل للفائدة التي يمكن الحصول عليها.
No English abstract
References used
Y. Video, "Postfix & Dovecot," [Online]. Available: https://www.youtube.com/watch?v=kdio_MMNqUE. [Accessed 13 5 2016].
U. Documentaion, "Samba," [Online]. Available: https://help.ubuntu.com/lts/serverguide/samba-fileserver.html. [Accessed 28 2 2016].
U. Documentaion, "Firewall," [Online]. Available: https://help.ubuntu.com/12.04/serverguide/Firewall.html. [Accessed 2 3 2016].
U. Documentaion, "IPtables," [Online]. Available: https://help.ubuntu.com/community/IptablesHowTo. [Accessed 2 4 2016].
U. Documentaion, "Network File System," [Online]. Available: https://help.ubuntu.com/lts/serverguide/network-file-system.html. [Accessed 16 3 2016].
Website, "HowToForge," [Online]. Available: https://www.howtoforge.com/tutorial/how-to-install-nagios-on-ubuntu-15-04/. [Accessed 2 3 2016].
Ubuntu Server Guide, 2014
Website, "AU.conf DHCP," [Online]. Available: http://askubuntu.com/questions/644191/configure-dhcp-on-ubuntu-12-04. [Accessed 2 3 2016].
WebSite, "Ubuntu D.File Server," [Online]. Available: https://help.ubuntu.com/lts/serverguide/file-servers.html. [Accessed 2 3 2016].
Website, "Server-Word-Email," [Online]. Available: http://www.server- world.info/en/note?os=Ubuntu_14.04&p=mail. [Accessed 3 5 2016].
Liquidweb, "Setup-Email," [Online]. Available: http://www.liquidweb.com/kb/how-to-setup-email-on-thunderbird/. [Accessed 15 5 2016].
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Ubuntu Server Guide contains information on how to install and configure various server applications on your Ubuntu system to fit your needs.
الشبكات المعرفة برمجيا SDN هي عبارة عن بنية شبكية جديدة توفر التحكم المركزي بكامل الشبكة. يعمل هذا المتحكم كنظام تشغيل يقوم بإرسال التعليمات وتطبيق التغييرات من خلال الواجهات التخاطبية بينه وبين الأجهزة المسؤولة عنها ويدعى بالمتحكم.
This paper introduces a system to recognize labels of time plans, where labels are
extracted from time plan. This labels are images, so spatial segmentation is used to extract
images of labels only. Size of images of labels are made same using medi
an's algorithm for
two purposes. The first one is to create database training for used neural networks. The
second is to recognizing's processing. Two methods of recognizing are dependent on using
neural networks technic: classification using perceptron network and recognizing using
back propagation network. Perceptron network is built to take image as input and to give
classification index as output for label. Then label is recognize dependent on stored table
of ASCII for label. Back propagation network is designed to recognize images for all
letters of English alphabet that are used in time plan. Results of research appear efficiency
of designed system to recognize labels of time plan from their images for both methods
after system had been applied on three time plans.
إن الشبكات بأنواعها المختلفة بما فيها الشبكات المحلية الصغيرة يتوجب عليها تقديم الخدمة
الجيدة للمستخدمين وهذا يحتاج إلى وجود نظام إدارة يتولى مهمة إدارة موارد الشبكة وخدماتها.
الهدف من المشروع هو إعداد الخدمات بطريقة تسهل إدارة الشبكة على مدير النظ
ام
وتساعده على تنظيم العمل وتوفير الخدمات بأقل عبء وأقل اخطاء .
حيث يساعدنا استخدام مخدم Zentyal في توفير الوقت والجهد لحل بعض الامور الروتينية
وعبء الأخطاء الذي كان يظهر عند إعداد الخدمات بالطرق القديمة في نظام LINUX
In recent years, the problem of classifying objects in images has increased by using deep learning as a result of the industrial sector requirements. Despite of many algorithms used in this field, such as Deep Learning Neural Network DNN and Convolut
ional Neural Network CNN, the proposed systems to address this problem Lack of comprehensive solution to the difficulties of long training time and floating memory during the training process, low rating classification. Convolutional Neural Networks (CNNs), which are the most used algorithms for this task, were a mathematical pattern for analyzing images data. A new deep-traversal network pattern was proposed to solve the above problems. The aim of the research is to demonstrate the performance of the recognition system using CNNs networks on the available memory and training time by adapting appropriate variables for the bypass network. The database used in this research is CIFAR10, which consists of 60000 colorful images belonging to ten categories, as every 6,000 images are for a class of these items. Where there are 50,000 training images and 10,000 test tubes. When tested on a sample of selected images from the CIFAR10 database, the model achieved a rating classification of 98.87%.
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