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Recent Tools of Software-Defined Networking Traffic Generation and Data Collection
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أثبتت الشبكات المحددة بالبرمجيات (SDN) تفوقها في معالجة مشاكل الشبكة العادية مثل قابلية التوسع وخفة الحركة والأمن. تأتي هذه الميزة من SDN بسبب فصل مستوى التحكم عن مستوى البيانات. على الرغم من وجود العديد من الأوراق والدراسات التي تركز على إدارة SDN، والرصد، والتحكم، وتحسين QoS، إلا أن القليل منها يركز على تقديم ما يستخدمونه لتوليد حركة المرور وقياس أداء الشبكة. كما أن المؤلفات تفتقر إلى مقارنات بين الأدوات والأساليب المستخدمة في هذا السياق. تقدم هذه الورقة كيفية محاكاة إحصاءات المرور وتوليدها والحصول عليها من بيئة SDN. وبالإضافة إلى ذلك، تعالج المقارنة بين الأساليب المستخدمة في جمع بيانات شبكة المعرفة برمجياً لاستكشاف قدرة كل طريقة، وبالتالي تحديد البيئة المناسبة لكل طريقة. تمت محاكاة اختبار SDN باستخدام برنامج Mininet مع طوبولوجيا الأشجار ومفاتيح OpenFlow. تم توصيل وحدة تحكم RYU بإرسال التحكم. تُستخدم الأدوات الشهيرة iperf3 و ping و python scripts لجمع مجموعات بيانات الشبكة من عدة أجهزة في الشبكة. تم استخدام Wireshark وتطبيقات RYU وأمر ovs-ofctl لمراقبة مجموعة البيانات المجمعة. تظهر النتائج نجاحًا في إنشاء عدة أنواع من مقاييس الشبكة لاستخدامها في المستقبل لتدريب الآلة أو خوارزميات التعلم العميق. وخلصت إلى أنه عند توليد البيانات لغرض التحكم في الازدحام، فإن iperf3 هو أفضل أداة، في حين أن ping مفيد عند توليد البيانات لغرض الكشف عن هجمات DDoS. تعد تطبيقات RYU أكثر ملاءمة للاستفسار عن جميع تفاصيل طوبولوجيا الشبكة نظرًا لقدرتها على عرض الطوبولوجيا وخصائص التبديل وإحصائيات التبديل. كما تم استكشاف العديد من العقبات والأخطاء وإدراجها ليتم منعها عندما يحاول الباحثون إنشاء مجموعات البيانات هذه في جهودهم العلمية التالية.

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Publication Date
Thu Apr 30 2020
Journal Name
Journal Of Economics And Administrative Sciences
Rainwater Drainage Service Improvement Using a Number Of Quality Tools at the Directorate of Karbala Sewage
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The basic objective of the research is to study the quality of the water flow service in the Directorate of Karbala sewage and how to improve it after identifying the deviations of the processes and the final product and then providing the possible solutions in addressing the causes of the deviations and the associated quality gaps. A number of quality tools were used and applied to all data Stations with areas and activities related to the drainage of rainwater, as the research community determines the stations of lifting rainwater in the Directorate of the streams of Karbala holy, and the station was chosen Western station to apply the non-random sampling method intended after meeting a number of. It is one of the largest and m

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Publication Date
Sun Feb 10 2019
Journal Name
Journal Of The College Of Education For Women
The views of Ibn Kisan in the tools and grammatical vocabulary in the Book of the ErtshafAlthrab of Ibn Hayyan Andalusia
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The scholars differed very much in determining the grammatical doctrine of Ibn Qaysan. It was said that he confused between the two sects and took the two groups(1) and that he took from Abu Abbas the fox and Abu al-Abbas almabrd(2).He was descended from the two sheikhs almbrad and fox(3), This research to find out his grammatical opinions in the tools and grammatical words that appeared in the Book of Resonance of Multiplication to the many reported by Ibn Hayyan in it, he has seen the books of Ibn Kisan did not reach us.
The collection of these opinions and analysis is important for the scholars. Because the books of Ibn Kaysan specialized in grammar have lost their most important, the books that are similar to the book of Ibn al-Ha

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Publication Date
Sun Jan 01 2017
Journal Name
Dissertation/thesis
A Model To Evaluate the Online Training for Global Virtual Teams in Global Software Projects
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Publication Date
Thu Jan 31 2019
Journal Name
Journal Of The College Of Education For Women
The impact of a typical student achievement teams use and integration of fragmented information in the collection of history students at the fifth grade literary
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The goal of this research is to find the effects of both the studying students groupwhich has various educational levels and the integration of the fragmented information through or during the study of history subjects for the female students of the fifth secondary literary section.
To achieve this study or case the researcher has chosen an experimental design or test by studying three groups: two are as mentioned above and the third is just ordinary team. In addition to that, there is a test after the experiment. The researcher chose on purpose female students of the literal section from two different secondary school Al Asil and Wahran both are secondary school for girls, and both are from directorate of education- Al Karkh 2nd dist

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Publication Date
Sun Jul 09 2023
Journal Name
Journal Of Engineering
Effect of Ferric Oxide on Electricity Generation and Waste Water Treatment Using Microbial Fuel Cell Technology
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The aim of research is to show the effect of Ferric Oxide (Fe2O3) on the electricity production and wastewater treatment, since 2.5% of Ferric Oxide (Fe2O3) (heated and non heated) nanoparticles has been used. Characterization of nanoparticles was done using X-ray Diffraction (XRD) and Scan Electron Microscopy (SEM). The influence of acidity was also studied on both wastewater treatmenton the Chemical Oxygen demand (COD) and Biological Oxygen Demand (BOD) and voltage output was studied. From the results, it was infused that the dosage of 0.025 g/l and an initial pH 7 were founded to be optimum for the effective degradation of effluents. The results concluded that the treatment of anaerobic sludge wastewater using Ferric Oxide (Fe2O3) in

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Publication Date
Tue Sep 30 2025
Journal Name
International Journal Of Transport Development And Integration
Sustainable Traffic Management Strategies for Congested Intersections: Multi-Criteria Assessment of Al-Sa’a Intersection and Al-Jari Street in Hit City
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The study aims to evaluate sustainable traffic management strategies for congested intersections in medium-sized Iraqi cities, with a focus on Al-Sa’a Intersection and Al-Jari Street in Hit City. These nodes face severe traffic congestion, delays, and infrastructure limitations that compromise urban mobility and sustainability. A multi-criteria evaluation (MCE) framework was employed to analyze three categories of interventions—engineering, planning, and administrative—based on five weighted criteria: traffic efficiency (40%), delay reduction (25%), cost (20%), environmental impact (10%), and social acceptance (5%). The methodology combined field data collection (traffic counts, travel time, and delays), GIS-based spatial analysis, an

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Publication Date
Mon Oct 01 2018
Journal Name
Al–bahith Al–a'alami
The role of social networking sites of Iraqi satellite channels in prioritizing the public “Field study for the public of Dhi Qar governorate
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The study titled “The role of the social media sites of Iraqi satellite channels in prioritizing the public” is a field study for the public of Dhi Qar.
The emergence of the social networking sites we are currently experiencing has undergone radical and important changes in the role of the mass media in light of the growth and rapid spread of modern technologies Or the so-called new media، which led the media organizations to create satellite channels on the social networks، which led to bypass the traditional lines between the public and media institutions with the public gain the possibility of The purpose of the research is to determine the habits and patterns of public use of the social media sites of the Iraqi satellite cha

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Publication Date
Thu Jan 01 2026
Journal Name
Journal Of Materials Chemistry C
Hydrothermal synthesis and comprehensive DFT evaluation of Ba2PrMnO6 double perovskite nanocrystals for next-generation spintronic and optoelectronic technologies
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Amid the growing demand for multifunctional and environmentally benign materials, lead-free double perovskites have emerged as a strategically important development in advanced functional materials research. This study presents the synthesis of Ba2PrMnO6 (BPMO) double perovskite nanocrystals for the first time via a hydrothermal method, and a comprehensive evaluation has been conducted using the density functional theory (DFT) framework. Structural, thermodynamic, electronic, optical, and mechanical properties were investigated through X-ray diffraction (XRD), ultraviolet-visible (UV-vis) spectroscopy, FESEM/EDX, FTIR, and density functional theory (DFT) calculations. XRD confirms a stable tetragonal I4/m phase with experimental lattice con

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Scopus
Publication Date
Mon Jul 18 2022
Journal Name
Ieee Access
Moderately Multispike Return Neural Network for SDN Accurate Traffic Awareness in Effective 5G Network Slicing
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Due to the huge variety of 5G services, Network slicing is promising mechanism for dividing the physical network resources in to multiple logical network slices according to the requirements of each user. Highly accurate and fast traffic classification algorithm is required to ensure better Quality of Service (QoS) and effective network slicing. Fine-grained resource allocation can be realized by Software Defined Networking (SDN) with centralized controlling of network resources. However, the relevant research activities have concentrated on the deep learning systems which consume enormous computation and storage requirements of SDN controller that results in limitations of speed and accuracy of traffic classification mechanism. To fill thi

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Publication Date
Fri Mar 31 2017
Journal Name
Al-khwarizmi Engineering Journal
Big-data Management using Map Reduce on Cloud: Case study, EEG Images' Data
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Database is characterized as an arrangement of data that is sorted out and disseminated in a way that allows the client to get to the data being put away in a simple and more helpful way. However, in the era of big-data the traditional methods of data analytics may not be able to manage and process the large amount of data. In order to develop an efficient way of handling big-data, this work studies the use of Map-Reduce technique to handle big-data distributed on the cloud. This approach was evaluated using Hadoop server and applied on EEG Big-data as a case study. The proposed approach showed clear enhancement for managing and processing the EEG Big-data with average of 50% reduction on response time. The obtained results provide EEG r

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