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خوارزهية التوجيه الهجينة لاتصاللات الماكنة مع ملكنة == Hybriid Routiing Allgoriithm for Machiine to Machiine Communiicatiion

Author name: باسم جميل علي
Supervisor name: سعد طالب حسون الجبوري
General topic: Computer Science
Specific topic: Computer Science
Degree: Doctorate
Language: English
University location: Babylon
First pages:
Abstract: The wireless communication devices have witnessed rapid growth in the recent years. Such growth and its useful applications led to the appearance of new applications known as "machine - to - machine" (M2M) communications. M2M plays a big role in finding the best hopeful explanation to change the current and the future smart widespread requests. Most of the smart wireless devices may perform as servers, collection of data and/or delivering the data at real time to users in a certain collaborative fashion.M2M communication domain consists of a huge number of tiny nodes and gateway (or sink) that are suffer from suffer from resource constrains like power limitation, storage capacity, radio limitation, data processing, etc.. Thus, it is necessary to find methods to increase node's lifetime as long as possible and consequently the overall sensor network. M2M devices consume considerable amount of energy due to communication process comparing to other process. This process depends on message size and the distance between the sender and the recipient. Thus reducing the packet size and finding a low energy aware routing procedure is necessary to save nodes energy.This thesis adopted compressed sensing (CS) as a modern data compression technique, modified Gossip algorithm as a flat protocol and introduced hybrid Gossip based low energy adaptive clustering hierarchy (LEACH) protocols as a new hybrid routing algorithm. CS combined with LEACH protocol named LEACHCS and the results that are reported from LEACHCS showed that the communication process can be improved in term of the channel bandwidth (B.W) utilization, increasing network throughput and saving node's communication energy.Gossip data aggregation technique is a biologically inspired paradigm of contagion inspired from behavior of the disease infection process. Its procedure is based on the help of neighboring nodes and employs the randomization technique to form a chain of the intermediary nodes (route). The modification of Gossip based on the selection operation of the next node hop. This thesis introduced three versions of modifying Gossip : a) Modify Gossip named (DGossip), in which a chain of intermediary nodes can be formed according to the relative node's energy and relative nodes displacement to the sink instance of randomization technique in the original Gossip. b) The formation of intermediary nodes based on the relative energy of neighbor nodes and nearest node to the source node called EN_Gossip. c) A hybrid of EN_Gossip and EL_Gossip named ENL_Gossip is introduced as a new version. In ENL_Gossip, a chain of intermediary nodes is collected through alternating use of both EN_Gossip first then EL_Gossip starting from the source node till reached the sink.The results showed that the DGossip is significantly better than others in term of the average remaining energy of network and latency time (in terms of number of hops), while ENL_gossip outperforms the others in term of network's live time.A new hybrid algorithm is proposed which combined Gossip as a bio - inspired technique with LEACH as a hierarchical multi - hop routing algorithm called LEACHGossip algorithm. This algorithm uses LEACH for clustering configuration purpose, while Gossip applies for each CH (or normal node) that is away (do m) from the sink (or from its associated CH). The simulation results proved that it outperforms LEACH about more times in terms of congestion between CHs and BS, node still alive and energy saving. Thus, the above mentioned procedures can be considered as efficient communication protocols for M2M communication networks in term of energy saving.

تحديد مكان وهوية المتكلم باستخدام تقنية توجيه حزم الاشارة المحسنة

Author name: علي يعكوب يوسف
Supervisor name: حسين عطية لفتة الخالدي
General topic: Computer Science
Specific topic: Computer Science
Degree: Doctorate
Language: English
University location: Babylon
First pages:
Abstract: Automatic speech recognition (ASR) systems perform well when using a close - talking microphone, However, many environments (Hands - free) where the use of such microphones is undesirable for reasons of convenience. In a hands - free environment, the noise and reverberation degrade the accuracy of recognition. An enhanced approach using microphone array for speaker localization and enhancement of speech signal input to an automatic speech identification system was proposed. The proposed system using enhanced beamforming technique based on Minimum Variance Distortionless Response (MVDR) for speaker localization with multi - microphone arrays. The strongest output beam signal corresponding to selected microphone array, used for the speaker identification. The identification phase based on using Mel Frequency Cepstrum Coefficient MFCC for feature extraction and enhance LBG algorithm for speaker modeling.Speaker identification accuracy in using proposed method were compared with conventional beamforming method, It was found that the higher recognition accuracy than previous approaches, and in experiments using speech signals that were artificially corrupted by additive noise. The proposed system provided a consistent, improvement in recognition accuracy for several experiments in simulation environments. It is also showing the benefit of usingmicrophone array processing. The localization phase evaluated using SNR, showing enhanced ratio after applying enhanced beamforming that estimate speaker location. The results showing localization accuracy 96.8% and 98.1% recognition accuracy where achieved.

نظام توصيات قائم على الويب لانتشار الاوبئة == Web - Based Recommender System for Spread Epidemics

Author name: حيدر محمد حبيب مجيد
Supervisor name: نبيل هاشم الاعرجي
General topic: Computer Science
Specific topic: Computer Science
Degree: Doctorate
Language: English
University location: Babylon
First pages:
Abstract: The usage of Online Social Networks, such as Facebook and Twitterbecomes more and more popular in order to exchange and disseminate news andinformation in real - time. Twitter in particular allows the instant dissemination ofshort messages in the form of microblogs to followers. This dissertation exploresand examine the usage of how social networks, such as the microblogging toolTwitter, can help in the detection of spreading epidemics and reducing time delaybetween the emergence of disease and report sick to the health authorities suchas World Health Organization (WHO).Text classification has been used to classify the patients and non - patients(positive / negative). Sentiment Analysis (SA) and Linear Support VectorClassifier (LSVC) have been applied in the classification patients. In thisdissertation, four diseases have examined. Diseases that have most similarity intheir symptoms have been taken in order to classify patients based on theirsymptoms by applying a recommendation system techniques. Symptoms - basedHealthcare Recommender System is new approach in this work. It uses patientsymptominstead of user - item in traditional Collaborative Recommender System.Collaborative Filtering (CF) has been applied in order to recommend whichdisease the patient may has. CF shows an indicator that users on Social Networkshave not enough knowledge to mention all symptoms for specific disease, that’sled to classify patients to more than one disease according to common symptomsthat mentioned by patients.Geolocation of users that classified as patients has been extracted in orderto recommend health authorities that there is a certain area might has a beginningof spread disease. An implicit geocoding of users has been extracted by usingGoogle Maps Geocoding API to avoid neglecting those who don’t have explicitgeolocation.IISuspected areas has been weighted by computing a Confidence Factor(cFactor) of Tweet source whatever it comes from mobile or desktop. cFactorhelp in reducing time consuming into 29% of collecting and processing data.Weighted and Geographic Symptoms - based Recommender (WGSR) model hasbeen created detect, classify and visualize patients on the map.The accuracy of WGSR model reached to %94 in the classification andmore than %80 with the real reports of World Health Organization (WHO) whichrefers as a very good and can be improved for better results.

تطوير التخويل المعتمد على البايومترك لنقل بيانات امنة عبر البيئة السحابية == Developing A Biometric Based Authentication To Secure Transferring Data Via Cloud Environment

Author name: احمد عبد الرضا عباس
Supervisor name: وسام سمير بهية
General topic: Computer Science
Specific topic: Computer Science
Degree: Doctorate
Language: English
University location: Babylon
First pages:

تقليل الاشعارات الخاطئة عند الكشف عن البرمجيات الخبيثة باستخدام تسلسل ايعازات API == Reducing False Notifications In Malware Detection Using API Calls Sequence

Author name: حسين لفتة حسين
Supervisor name: عباس محسن البكري
General topic: Computer Science
Specific topic: Computer Science
Degree: Doctorate
Language: English
University location: Babylon
First pages:

طريقة هجينه لاكتشاف وتعقب الكائنات المتحركة في ملف فيديو == A Hybrid Approach for Detection and Tracking of Moving Objects in Video File

Author name: جلال حميد عواد
Supervisor name: عامر صديق الملاح
General topic: Computer Science
Specific topic: Video Processing
Degree: Doctorate
Language: English
University location: Babylon
First pages:

اطار عمل للاستشارة التعاونية والتشخيص عن بعد بالاعتماد على الحوسبة السحابية == on cloud telecollaboration consultation and diagnosis framework based on agent

Author name: امير كاظم هادي
Supervisor name: عباس محسن البكري
General topic: Computer Science
Specific topic: Computer Networking
Degree: Doctorate
Language: English
University location: Babylon
First pages:

نظام مقترح لتقييم اداء الموظف == Proposed System For Employee Performance Evaluation

Author name: سوسن هادي عبد المنصوري
Supervisor name: عباس محسن البكري
General topic: Computer Science
Specific topic: Software
Degree: Master
Language: English
University location: Babylon
First pages:

تمييـــز الكــلام المرتبــط باستخدام تقنية ترميز التنبؤ الخطي == CONNECTED SPEECH RECOGNITION USING LINEAR BREDICTIVE CODING TECHNIQUE

Author name: اسيا مهدي ناصر الزبيدي
Supervisor name: خليل ابراهيم الطيف
General topic: Computer Science
Specific topic: Smart Apps
Degree: Master
Language: Arabic
University location: Babylon
First pages:

نظام مقترح في تمييز الوجوه اعتمادا على عزوم زرنيخ و M-MSSIM == A Proposed System For Face Recognition Based On Zernike Moments And M - Mssim

Author name: اسعد نوري هاشم الشريفي
Supervisor name: زاهر محسن حسين المالكي
General topic: Computer Science
Specific topic: Computer Science
Degree: Doctorate
Language: English
University location: Babylon
First pages:

تحسين بعض الدوال الفوضوية لتشفير الكلام == An Enhancement Of Some Chaotic Maps For Speech Encryption

Author name: رنا سعد محمد
Supervisor name: ستار بدر سدخان
General topic: Computer Science
Specific topic: Data Security
Degree: Doctorate
Language: English
University location: Babylon
First pages:

تطوير نظام فديو بانورامي واسع الزاوية == Development Of Wide - Angle Video Panoramic System

Author name: كوثر عباس صلال
Supervisor name: عبد المنعم صالح رحمة ابو طبيخ
General topic: Computer Science
Specific topic: Computer Science
Degree: Doctorate
Language: English
University location: Babylon
First pages:

Irregular Iris Identification And Verification Using Texture Methods

Author name: سهاد احمد علي
Supervisor name: لؤي ادورد جورج
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
Language: English
University location: Babylon
First pages:

التعرف على حزم النظير الى نظير باستخدام خوارزميتي كي مينز والبيرج == Peer - To - Peer Packet Identification By Using K - Means And BIRCH Algorithms

Author name: علي حسين علي
Supervisor name: صفاء عبيس المعموري
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
Language: English
University location: Babylon
First pages:

اقتراح طريقة هجينة جديدة لحماية ملف الـ (PDF) == Proposed New Hybrid Approach For PDF File Security

Author name: زید عبد الواحد عبود صالح
Supervisor name: توفيق عبد الخالق الاسدي
General topic: Computer Science
Specific topic: Data Security
Degree: Master
Language: English
University location: Babylon
First pages:

تصميم ومحاكاة منظومة اختيار افضل خوارزمية توجيه في شبكات MANET == Design And Simulation Of Optimal Manet Routing Protocol Selection System

Author name: احمد جواد كاظم
Supervisor name: سعد طالب الجبوري
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
Language: English
University location: Babylon
First pages:

تطوير اداة لرؤيا ثلاثية الابعاد في نظم المعلومات الجغرافية باستخدام مطابقة النسيج == Develop A 3D Visualization Gis Tool Using Texture Mapping

Author name: ايلاف علي عبود بيعي
Supervisor name: توفيق عبد الخالق الاسدي
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
Language: English
University location: Babylon
First pages:

محاكاة خلط الاشارة الصوتية بالاعتماد على خوارزميات محول متعدد المويجة == Simulation Of Speech Scrambling Based On Multiwavelet Transform Algorithms

Author name: ايلاف جبار عبد الرزاق الطائي
Supervisor name: محمد جاسم محمد | ليث علي عبد الرحيم
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
Language: English
University location: Babylon
First pages:

تطوير نظام التشفير المتقدم القياسي AES))لامنية بروتوكول الانترنت السادس IPv6 == Developing Aes Cryptosystem For Ipv6 Security

Author name: زينب عبد الله جاسم
Supervisor name: ستار بدر سدخان
General topic: Computer Science
Specific topic: Data Security
Degree: Master
Language: English
University location: Babylon
First pages:

منع انتحال العنوان المادي في الشبكة اللاسلكية ذات السيطرة المركزية باستخدام برمجة الـ OPNET == Prevention of MAC Spoofing Attacks in Infrastructure Wireless Network Using OPNET Programming

Author name: سمراء عدنان عبد مسلم الاسدي
Supervisor name: وسام سمير بهية
General topic: Computer Science
Specific topic: Computer Networking
Degree: Master
Language: English
University location: Babylon
First pages:

تحديث طبقة الفكتر في نظم المعلومات الجغرافية لاختيار الصرح الاثري الافضل == GIS Vector Layer Updating For Selecting The Best Monument

Author name: سميرة عبد القادر حسين
Supervisor name: توفيق عبد الخالق الاسدي
General topic: Computer Science
Specific topic: Information Technology
Degree: Master
Language: English
University location: Babylon
First pages:

تحسين خوارزمية الاستقراء الموجهة صفاتيا كاحدى خوارزميات تعدين البيانات == Enhancing Attribute Oriented Induction Data Mining Algorithm

Author name: مازن كاظم حميد
Supervisor name: سعد طالب حسون | صفاء عبيس المعموري
General topic: Computer Science
Specific topic: Information Technology
Degree: Master
Language: English
University location: Babylon
First pages:

تصميم نظام ذكي للتنقيب عن البيانات باستخدام قواعد الاقتران == Design An Intelligent System For Data Mining Using Association Rules

Author name: سماهر حسين علي الجنابي
Supervisor name: عباس محسن البكري
General topic: Computer Science
Specific topic: Information Technology
Degree: Doctorate
Language: English
University location: Babylon
First pages:

نظام شبكة بتري المضببة الخبير لتشخيص مرض القلب == A Fuzzy Petri Nets Expert System For Heart Disease Diagnosis

Author name: ود كاظم عليوي الشريفي
Supervisor name: حسين عطية لفتة
General topic: Computer Science
Specific topic: Smart Apps
Degree: Master
Language: English
University location: Babylon
First pages:

تحسين انظمة التوصية باستخدام اصطفاف السلاسل == Improving Recommendation System Using Sequence Alignment

Author name: هدى ناجي المعموري
Supervisor name: وسام سمير بهية
General topic: Computer Science
Specific topic: Computer Science
Degree: Doctorate
Language: English
University location: Babylon
First pages:
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