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مقترح كشف احاسيس النصوص العربية بالاعتماد على نظام التوصية

Author name: احمد ضياء راضي
Supervisor name: ستار بدر سدخان
General topic: Computer Science
Specific topic: Software
Degree: Master
University: University of Babylon - Information Technology Collage - Department Of Software
Language: English
University location: Babylon
First pages:

كشف اختراق الشبكات باستخدام خوارزمية BFR == Network Intrusion Detection using BFR Algorithm

Author name: سعاد عبدالاله عبدالحسين مطلب
Supervisor name: وسام سمير بهية
General topic: Computer Science
Specific topic: Software
Degree: Doctorate
University: University of Babylon - Information Technology Collage - Department Of Software
Language: Arabic
University location: Babylon
First pages:

تعويض المناطق الفارغة الناتجة من الحذف في الفيديو باستخدام متعقب Mean - Shift ومكتشف Harris مع اتساق الحجب == Video Inpainting Using Mean - Shift Tracker and Harris Detector with Occlusion Consistency

Author name: مصطفى احسان محمد مطر
Supervisor name: اسراء هادي علي الشمري
General topic: Computer Science
Specific topic: Software
Degree: Master
University: University of Babylon - Information Technology Collage - Department Of Software
Language: English
University location: Babylon
First pages:

درازة صوره بانوراميه بمراى كامل لصور غير مرتبه اعتمادا على كشف هاريس للزاوية == Full View Panoramic Image Stitching for Un - ordered Images Based on Harris Corner Detection

Author name: سرمد سلمان داود صالح
Supervisor name: اسراء هادي الشمري
General topic: Computer Science
Specific topic: Software
Degree: Master
University: University of Babylon - Information Technology Collage - Department Of Software
Language: English
University location: Babylon
First pages:

نظام التوصية للاحداث الاكاديمية باستخدام خوارزمية البحث عن الارتباط التشعبي == Academic Events Recommendation Using Hyperlink - Induced Topic Search Algorithm

Author name: ايمان كاظم عبودحسون
Supervisor name: غيداء عبد الحسين بلال
General topic: Computer Science
Specific topic: Software
Degree: Master
University: University of Babylon - Information Technology Collage - Department Of Software
Language: English
University location: Babylon
First pages:

الكشف عن استدعاءات النظام الضارة باستخدام الانماط المتكررة == Detection of Malicious System Calls Using Frequency Patterns

Author name: نوفل تركي عبيس حسين
Supervisor name: وسام سمير بهيه
General topic: Computer Science
Specific topic: Software
Degree: Doctorate
University: University of Babylon - Information Technology Collage - Department Of Software
Language: English
University location: Babylon
First pages:

استخدام منهجية العنقدة المحدودة السعة لنمذجة مشكلة جمع النفايات == Capacitated Clustering Approach to Model Waste Collection Process

Author name: زينب عدنان جواد حسن
Supervisor name: سعد طالب حسون الجبوري
General topic: Computer Science
Specific topic: Software
Degree: Master
University: University of Babylon - Information Technology Collage - Department Of Software
Language: English
University location: Babylon
First pages:

تداخل مجالات التغطية المثلى في شبكات الاستشعار اللاسلكية باستخدام طريقة ميتا هيورستك == Optimal Coverage Overlapping in Wireless Sensor Network Based on Meta Heuristic Method

Author name: حيدر اياد خضير عباس
Supervisor name: سعد طالب حسون الجبوري
General topic: Computer Science
Specific topic: Software
Degree: Doctorate
University: University of Babylon - Information Technology Collage - Department Of Software
Language: English
University location: Babylon
First pages:

اكتشاف العيوب في الصور الاشعاعية باستخدام الاستدلال المضبب وشجــــرة القــــــرار == Defect Detection of Radiography Image Based on Fuzzy Inference and Decision Tree

Author name: نـور فاضل حسين سليمان
Supervisor name: وفاء محمد سعيد حازم
General topic: Computer Science
Specific topic: Software
Degree: Master
University: University of Babylon - Information Technology Collage - Department Of Software
Language: English
University location: Babylon
First pages:

فصل الكلام الاحادي باستخدام خوارزمية مركبات مستقلة امثليه == Mono Speech Signal Separation Using Optimize Independent Component Analysis Algorithm

Author name: حسين محمد سلمان حمادي
Supervisor name: نداء عبد المحسن عباس
General topic: Computer Science
Specific topic: Software
Degree: Doctorate
University: University of Babylon - Information Technology Collage - Department Of Software
Language: English
University location: Babylon
First pages:

اكتشاف المعرفة لسعر النفط ومعدل التضخيم بالاعتماد على انحدار دعم المتجه متعدد الدورات والترابط الضبابي

Author name: علي طعمة فيحان
Supervisor name: ايمان صالح الشمري
General topic: Computer Science
Specific topic: Software
Degree: Master
University: University of Babylon - Information Technology Collage - Department Of Software
Language: English
University location: Babylon
First pages:

استرجاع الصور المرفقة بمعلومات باستخدام تقنية (تخصيص ديريشلت الكامنة) == Tagged Images Retrieval using Latent Dirichlet Allocation (LDA

Author name: سها كمال عبد الائمة سلمان
Supervisor name: غيداء عبد الحسين السلطاني
General topic: Computer Science
Specific topic: Software
Degree: Master
University: University of Babylon - Information Technology Collage - Department Of Software
Language: English
University location: Babylon
First pages:

شبكة الانحدار المتكيفة العصبية لتحسين تحديد التغيير لسيل البيانات باستخدام نموذج صفحة هنكلي المحدث == Adaptive Regression Neural Network for Enhancing Drift Detection of Data Stream Based on Modified Page Hinckley Model

Author name: علياء عبد الحسين لفتة حسون
Supervisor name: نبيل هاشم الاعرجي | ايمان صالح الشمري
General topic: Computer Science
Specific topic: Software
Degree: Doctorate
University: University of Babylon - Information Technology Collage - Department Of Software
Language: English
University location: Babylon
First pages:

كشف تغيير المعلومات في شبكة البيانات المرتبطة المفتوحة باستخدام اخفاء المعلومات == Information Change Detection in Linked Open Data using Information Hiding

Author name: علياء عبد الحسين عبد اليمة كريم
Supervisor name: اسعد صباح هادي
General topic: Computer Science
Specific topic: Software
Degree: Master
University: University of Babylon - Information Technology Collage - Department Of Software
Language: English
University location: Babylon
First pages:

نقل صورة النسيج المعتمدة على طريقة الدمج المتكيفة == Texture Mapping Image Based on an Adaptive Fusion Method

Author name: علي عبد العزيز محمد باقر قزاز
Supervisor name: توفيق عبد الخالق الاسدي
General topic: Computer Science
Specific topic: Software
Degree: Doctorate
University: University of Babylon - Information Technology Collage - Department Of Software
Language: English
University location: Babylon
First pages:

نمذجة ومحاكاة شبكات التواصل الاجتماعي للمركبات == Modeling and Simulation of Vehicular Social Network

Author name: محمد عبيد مهدي ضيف
Supervisor name: سعد طالب الجبوري
General topic: Computer Science
Specific topic: Software
Degree: Doctorate
University: University of Babylon - Information Technology Collage - Department Of Software
Language: English
University location: Babylon
First pages:

الافلام الواقعية المعززة باستقرارية انارة الكائنات الافتراضية == Augmented Reality Videos with Illumination Consistency for Virtual Objects

Author name: رؤى محمد حمزة علي
Supervisor name: اسراء هادي علي الشمري
General topic: Computer Science
Specific topic: Software
Degree: Master
University: University of Babylon - Information Technology Collage - Department Of Software
Language: English
University location: Babylon
First pages:

بروتوكول ارسال لتقليل استهلاك الطاقة في شبكات المتحسس اللاسلكية == A Routing Protocol for Reducing Energy Consumption in Wireless Sensor Networks

Author name: هادي رحيم علي عيدي
Supervisor name: حسين عطية لفتة
General topic: Computer Science
Specific topic: Software
Degree: Doctorate
University: University of Babylon - Information Technology Collage - Department Of Software
Language: English
University location: Babylon
First pages:

كشف الكائن الفيديوي المخفي باستخدام تعقب متوسط الازاحة وتقنيات الخياطة == Video Hidden Object Recovery Using Mean Shift Tracking and Stitching Techniques

Author name: قاسم جليل خضير عبيس
Supervisor name: اسراء هادي علي
General topic: Computer Science
Specific topic: Software
Degree: Master
University: University of Babylon - Information Technology Collage - Department Of Software
Language: English
University location: Babylon
First pages:

الاداء الامثل لشبكات الاستشعار اللاسلكية باستخدام نماذج نشر مختلفة == An Optimal Performance of the Wireless Sensor Networks Using Various Deployment Models

Author name: عبد الناصر رياض فنجان سالم
Supervisor name: سعد طالب حسون الجبوري
General topic: Computer Science
Specific topic: Software
Degree: Doctorate
University: University of Babylon - Information Technology Collage - Department Of Software
Language: English
University location: Babylon
First pages:
Abstract: Wireless sensor networks (WSNs) today are widely used in various military and civilian applications and in the construction of a new concept called Internet of thinks (IoT), so it has been given great importance especially in recent years. In most WSNs applications sensors are deploying in random manner. Such randomness deployment produces trivial control on the network with no coverage guarantee and may achieve weakly connected network topology. Therefore, precise location can be often pursued for different nominated applications with the aim of configuring the topology of the network to reach to the requirements of preferred application. Most of the important WSN optimization techniques are to place the sensors in a deterministic manner to meet the required performance aims.In this dissertation several solutions are proposed to handle the deployment problem in WSN such as coverage, connectivity and reliability. Our suggestion depends on developing certain re - deployment approaches. These approaches are suggested and implemented in two virtual phases. In the first phase a random deployment was suggested then improves the locations of all the deployed sensors in the second phase. Once completing these phases a set of feasible locations will be available and can be used in the process of real sensor deployment.Seven algorithms are suggested, two of them were developed from the centralized optimization algorithms. The first is Particle Swarm Optimization (PSO), one of the common optimization methods. And the second is called Grid - distribution, where we considered this model to estimate the optimal number of sensors needed to cover a specific area. On the other hand, we have extracted two new models from Grid - distribution fundamentals, one of them to cover the border called barrier deployment, and the second is to cover center a certain area called center deployment.Three other optimization deployment algorithms are proposed to redeploy sensors after initial random deployment and improve coverage, connectivity and network reliability at the minimum cost. These algorithms are Distance based deployment, Markov based deployment and Angles based deployment. A mathematical model has been built for each of these proposed algorithms and has been implemented and tested by the Net Logo simulator. Each algorithm is executed in all sensors to achieve the desired objectives. The results of these algorithms were shown to be superior and dominate the results of existing algorithms such as Glowworm Swarm Optimization (GSO) and PSO_Voronoi.

تشفير الكلام بالاعتماد على دوال الفوضى المتعددة كمولد مفاتيح == A Proposed Speech Scrambling Based on Multi Chaotic Maps as key Generators

Author name: حسين علي اسماعيل
Supervisor name: ستار بدر سدخان المالكي
General topic: Computer Science
Specific topic: Software
Degree: Master
University: University of Babylon - Information Technology Collage - Department Of Software
Language: English
University location: Babylon
First pages:
Abstract: تشفير الكلام هو عملية جعل خاصية المفهومية المتبقية للكلام واطئة, بالتالي يجعل من الصعب فهم الكلام من قبل المتنصت او المهاجم. وبسبب التطور السريع والكبير الذي وقع في نظم الاتصالات تسبب في زيادة المشاكل التي تهتم بالخصوصية وامن المعلومات، لذلك تطلب من الباحثين تطوير خوارزميات التشفير لحماية البيانات بحيث تكون الخوارزمية اكثر امنا، واحدة من هذه البيانات هو البيانات صوت التي يتم ارسالها من خلال القناة عامة المعرضة الى نوعين من المشاكل الضجيج بالاضافة الى تتنصت.نظرية الفوضى هي واحدة من اهم النظريات المستخدمة في الترميز ذلك لانها تمتلك خصائص مناسبة للتشفير، حيث انها تحقق خاصيتي الانتشار والارتباك, اللتان تعتبران من الخصائص المهمة في علم التشفير. في بحثي تم استخدام مفهوم الدوال الفوضى الهجينة كما مولدات مفاتيح لتغيير معالم الخطاب، حيث كان الهدف من استخدام مفهوم هجين من الخرائط الفوضى بدلا من استخدام دالة الفوضوية واحد هو زيادة تعقيد النظام المقترح. في هذه الرسالة تم استخدام خمسة دوال الفوضوية تشمل (Logistic, Henon, Lorenz, Chen, Standard) ، حيث تم استخدام مزيج من الدوال الفوضوية المختلفة لانتاج فيض من المفتاح الثنائي الذي يمتاز بمساحة مفتاح عالية واكثر عشوائيا وكذلك يقلل المفهوم المتبقية للكلام عند استخدامه لتشفير الكلام. وتوضح النتائج ان العشوائية باستخدام المعهد الوطني للمعاييروالتكنولوجيا (NIST) مثل التردد احادي بت = 0.0586 لدالة لورينز واحدة والتردد احادي بت = 0.0113 لدالة تشن واحدة ، في حين ان التردد احادي بت = 0.7665 لدوال لورينز وتشن مع بعضهما، بالتالي نلاحظ زيادة في العشوائية.المفهومية المتبقية باستخدام مقياس الطيف القطعي لنسبة اشارة المعلومات للضوضاء (SSNR) - 16.9729= لدالة لورينز واحدة وSSNR =16.9432 - لدالة تشن واحدة بينما SSNR = 17.3716 - دوال لورينز تشن مع بعضها، بالتالي نلاحظ ان المفهومية المتبقية فيد انخفضت. كذلك مساحة المفتاح = 2^360 لدالة لورزنز وتشن معا بينما مساحة المفتاح = 2^180 لدالة تشن واحدة ومساحة المفتاح = 2^180 لدالة لورنز واحدة. الظروف الابتدائية والمتغيرات تمثل مفاتيح النظام. تم الحصول على نتائج جيدة مقارنة مع دالة فوضوية واحدة. | Speech scrambling is the process of making low residual unintelligible of speech. So, it will make difficult for understanding it by eavesdrops or attackers. Due to the rapid and great developments that have been taking place in communication systems causing increased problems that are interesting to the privacy and security of the information, so they ask the researchers to develop encryption algorithms for protecting the data to become more secure. One of this data is voice data that sends through the public channel to be exposed to noise in addition to eavesdrops.Chaos theory is one of the most important theories used in cryptography because it possesses suitable properties for encryption. These properties can be used for investigating diffusion and confusion properties, which is one of the important characteristics in cryptography. In this thesis, the concept of hybrid chaotic maps has been used as generator of keys to scramble speech. The objective has been used the concept of hybrid of chaotic maps instead of using single chaotic map so as increase the complexity of the proposed system. This thesis has used five chaotic maps as generators of keys including (Logistic, Henon, Lorenz, Chen, Standard) maps. It uses of combination of two different chaotic maps for production random keystream bits that have large of the key space, more randomness and achieving low residual intelligibility for speech. The results explain that randomness by using National Institute of Standards and Technology (NIST) tests such as the frequency mono - bit =0.0586 for Lorenz map alone and the frequency mono - bit = 0.0113 for chen map alone, while frequency mono - bit =0.7665 for Lorenz and Chen, thus they observe an increase in randomness. The residual intelligibility using Segmental Spectral Signal to Noise Ratio measure (SSNR) = - 16.9729 for Lorenz map alone and SSNR = - 16.9432 for Chen map alone while SSNR = - 17.3716 for Lorenz and chen maps, thus they observe an low residual intelligibility of speech. The key space = 2^360 for Lorenz and chen maps togethers while key space =2^180 for Chen map alone and key space = 2^180 for Lorenz map alone, the parameters and initial conditions of map represent secret keys in system. It has got better and successful results compared with single chaotic map
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