Show: 25 50 75 100 Results

Search results: 25 out of 1,857

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 ادوات جديدة في نظام مودل == Developing New Tools in Moodle System

Author name: نهلة فليح حساني الشويلي
Supervisor name: كاظم حسن كبان الابراهيمي
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
Language: English
University location: Dhi Qar
First pages:
Abstract: E - learning is the use of IT in learning and teaching. This usage improved the quality of learning and teaching through facilitating access to resources and remote collaboration among teachers and students. E - Learning makes it easier to create and distribute learning materials, independently of geographical or time limits. It allows students to exchange information and participation in activities.There are many systems (software) development for management of E - learning (LMS). These systems provide tools for simulation the traditional learning, development and support the electronic learning.LMS provides many tools to create, manage the examination, evaluate the grades and spread question types.The general aim of this thesis is to develop the LMS that has been increasingly used having widespread in E - Learning in many countries. This system is "Moodle" which designed to supporting electronic learning.Moodle system is not satisfying conditions of the traditional exam copybook that is used in examination committees in Iraqi universities in terms of security and accuracy."Single view" report in Moodle system allows the teacher to edit grades of "Quiz" activities.Moodle system not provided question type in which the answering method is done through selecting word from a given text; this idea is a suggested product for the development of Moodle website in 2014 and doesn't have solution yet.In this thesis, we proposed three main proposals : 1. Development of Moodle system to use it in the examinations in Iraqi Universities through designing and implementation of new module named "Teacher view" to provide "The Electronic Exam Copybook" which simulated the traditional exam copybook that is used in the examination committees in these universities for assessment of student's answers. It also presents documentation of detailed information about student's attempt on examination and calculates the student's grades. This "Electronic Exam Copybook" satisfies all conditions of the traditional exam copybook in terms of security and accuracy. Also, the proposed module provides students' results in English and Arabic languages and manual of this module.2. Overcome of the weakness in "Single view" report in Moodle system.3. Development of Moodle system through designing and implementation of a new question type called "Highlight words" in this system. The idea of answering method to this question type is highlight word from a given clickable text.We used the following requirements to design and implement the proposals tools in this thesis : 32 bit windows7 operating system, 2.30 GHz Core i3 processor, router device, WAMP server, Moodle system (version 2.9) in English language, Mozilla Firefox web browser, Macromedia Dreamweaver 8 and First object XML Editor software

تصنيف اورام الدماغ باستخدام الشبكات العصبية الاصطناعية

Author name: نور حيدر داخل
Supervisor name: حازم باقر طاهر العلي
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
Language: English
University location: Dhi Qar
First pages:
Abstract: Accelerating the pace of scientific progress and that focus in the field of human service requirements is to provide daily health and service. Health aspect is one of the most important things of science that needs to be develop it because it has an important effect on human life. Medical imaging has become one of the most important factors in the treatment of human health. A large amount of information and data can be obtained about disease by different methods of Images acquisition techniques same like Magnetic Resonance Imaging (MRI), Computed Tomography (CT).The purpose of this thesis is to discover a way to detect the brain is to suggest a system to diagnose the brain whether it is normal or abnormal (contains a tumor) by using artificial neural network technology which contain many steps. The first step of detecting the brain tumor system is the input image to the system as digital data.The processing is the second step, which includes reducing noise and removing impurities of the brain image. So as the noise is removed by using median filter and wiener filter. After processing (filtration) image segmentation. Feature extraction is the techniques that is used to measure of difference properties of image segments, given the specific features as input to the artificial neural network classified (ANN).Seeded classified databases are due to the two types of brain image, (normal or abnormal).Samples have taken from a group of patients in AL - Husain Teaching Hospital disparate ages and both ganders, which was 100 samples ,80 of them were training samples and 20 were tested .The proposed system has proven successful of the diagnostic through the results obtained on the ratio of (100% in the training phase) and (100% in the testing phase

تسريع ضغط الصور الكسوري باستخدام تقنيات مطورة == Fast Fractal Image Compression using Adaptive Techniques

Author name: حيدر عباس محسن
Supervisor name: حازم باقر طاهر العلي
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
Language: English
University location: Dhi Qar
First pages:
Abstract: Fractal Image Compression (FIC) is one of the lossy techniques. In order for fractal compression image to be encoded is partitioned into non - overlapping blocks called ranges. From this range pool creates a new array called domain pool, the data of domain is array produced from taking an average of every four (2x2) adjacent elements in the range array, the domain is divided into overlapping blocks. Each block in range pool should be matched with every large number of blocks in the domain pool in order to find minimum error and recorded its best IFS approximate. The decoder process applies the determined IFS transformations on any initial image, and the process is repeated many times until reaching the attractor. In this thesis, it presents reducing the long encoding time of FIC without making significant sacrifice in the quality. In addition to the traditional fractal compression method, four IFS coding methods have been tested.The first method is speed up encoding phase by using moment features of the domain blocks with threshold , this method it compute the moment features of domain blocks only , during the matching process, compares the ratio factor of domain block with threshold, then compute the scaling (s), offset (o) coefficients and minimum error between range and domain blocks, and storing the optimal IFS coding , the results of this method with lenna image (4x4) block size, (the encoding time = 50.29 sec), (compression ration= 4.57 ) ,(PSNR=24.04), (RTR=33.42 ). The second method is speed up encoding phase by using the entropy technique of the domain blocks only , during the matching process, compares entropy value of domain block with threshold, and storing optimal IFS coding , the results of lenna image(4x4) block size, (the encoding time = 95.47sec), (compression ration= 4.47 ) ,(PSNR= 24.08) and (RTR= 17.60) . In the third method it merges the entropy technique with moment features of domain blocks only , during the matching process, compares entropy value and moments ratio factor of domain blocks with threshold and storing IFC coding, the compression results of lenna image (4x4)block size , (encoding time = 100.90 sec), (compression ration=4.47) ,(PSNR= 24.11) and (RTR=16.66) , the flaw in this method is the encoding time of 16x16 partitioning more than 4x4 and 8x8 partitioning. In the fourth method speed up encoding phase by use moment features of the range and domain blocks, in this method it computes the moment features of range and domain blocks, during the matching process, if the moments ratio factor of range and domain blocks are equal then compute scale(s),offset(o) and error (R) .storing best IFS coding. the results of lenna image(4x4) (encoding time = 114.02 sec), (compression ration= 4.47) ,(PSNR= 24.43), (RTR=14.74), the flaw in this method is the encoding time of 16x16 partitioning more than 4x4 and 8x8 partitioning. Matlab R2008a was used as a program to designed and implemented to achieve the coding and testing tasks. The environment used for our tests is a single PC with processor (core i3 CPU 2.53GHz) and 4.00 GB RAM .

خوارزمية موازنة الاحمال المقترحة في الحوسبة السحابية == A Proposed Load Balancing Algorithm in Cloud Computing

Author name: اطياف ضاري برغش
Supervisor name: خلدون ابراهيم عارف
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
Language: English
University location: Dhi Qar
First pages:
Abstract: Cloud computing considers an important paradigm that provides services and dynamic virtual resources to the consumers over the internet.One of the main challenges and important fields for research in the cloud computing environment is load balancing. So the main goal of this thesis is to establish an effective load balancing algorithm for task scheduling. In cloud computing environment, the demands are executed into the virtual machines (VMs) and in the execution, it must be avoided a situation some of the resources are under loaded states while there are resources overloaded or heavy while achieving less the execution time of the tasks andresponse time. In this thesis, we present the Load Balancing Decision Algorithm (LBDA) which aims to achieve load balancing for reducing the : Total completion time (Makespan), Response time and Total execution time of tasks in cloud computing environment.The mechanism of LBDA is based on three functions, first : calculating the virtual machine capacity, virtual machine load then determining VM states (Under loaded, Balance, High balance, Overloaded) based on comparing VM capacity, VM load and using three thresholds : threshold upper; threshold fair; and threshold lower. Second : estimating the time required to complete executing the task in each VM. Finally, making a decision to distribute the tasks among the VMs based on VM state and task time required. Where checked task time required into VMs under states and selecting the fastest VM, when there are more than one VMs have the same time to complete a task, LBDA assigns a task to VMs which has the largest capacity. When all VMs become (Balance or High balance) states, the tasks are distributed between VMs depending on the fastest execution. The proposed LBDA was compared with Max - Min, Shortest Job First and Round Robin algorithms. We applied many experiments with various VMs’ capacity and : A different number of tasks on a different number of VMs, The same number of tasks on a different number of VMs, and A different number of tasks on a different number of VMs.The performance evaluation results implemented in cloudsim toolkit 3.0.3 and the experiments demonstrate that our proposed LBDA outperformed to other algorithms by reducing the completion time of tasks, response time, andtotal execution time of tasks.

مخطط يربط المفتاح بالقياسات الحيوية لحماية انظمة المعلومات == A Biometric Key Binding Scheme for Information Systems Protection

Author name: ابرار خلف الشريفي
Supervisor name: كاظم مهدي الموسوي | كاظم حسن الابراهيمي
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
Language: English
University location: Dhi Qar
First pages:
Abstract: Cryptosystems becomes an increasingly important feature as the most reliable tool in network and information security. However, while there are many forms of cryptosystems exist today a weak link of all systems is the secure management of the cryptographic key. And as a result of the growing interests in biometrics a new field of research has emerged, which is called "biometric cryptosystems". Within biometric cryptosystems the advantages of biometric authentication are introduced to generic cryptographic key management systems to enhance security.This work proposes a scheme to bind a cryptographic key with the face biometric by combining correlation filters based biometric recognition with a biometric key binding scheme with providing the variation tolerance, discrimination and security which are the most important requirements that apply to a cryptographic key retrieval using a biometric. In the proposed scheme the cryptographic key is generated independently of user's face image using Pseudo - Noise generator to produce a unique and long enough key (128 bits) for each user then this key is linked to the face image only through a secure block of data known as the 'protected record'. The correct key will only be derived via the interaction of this protected record with the correct user's face image during a live authentication process. The resultant key may be used in a system as cryptographic key or as a personal identification number (PIN) to overcome the need to carry, store, or remember keys for cryptosystems or any other application that are used (PIN).The proposed scheme performance has evaluated using FACE 94 facial database. The performance rate reached to 100% which is a perfect result for practical applications. The proposed scheme is implemented using (MATLAB 2008). It is executed for testing purpose on computer with processor of 1.80 GHZ dual core, i3 under Microsoft Windows 7 operating system.

Secure Email Message Using Genetic Algorithm - Based Elliptic Curve Cryptography Systems

Author name: محمد حسن حالوب
Supervisor name: Haider M. Abdul - Nabi
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
Language: English
University location: Basrah
First pages:
Abstract: Email is a service for exchanged messages between group of people (sender and receiver) using communication network. Nowadays people, companies, and business sectors are using email in the official communications. There are a lot of threats on the email service and the most importantly one is the eavesdropping. Some email messages are very important and must have a level of security during exchange of them.The current study uses hash function to add data integrity by applying Secure Hash Algorithm - 1(SHA - 1). This study uses Elliptic Curve Digital Signature Algorithm to add authentication and non - repudiation to the email message sender.Encrypt of an email message is a solution to overcome the eavesdropping. Hence, the attacker can obtain the email message but cannot read it without the key. The encryption algorithm, which is used, is Elliptic Curve Cryptography. This algorithm has a strong encryption, high level of security, and small key size compared to the RSA algorithm.The contributions of this thesis are : proposes a new method based on genetic algorithm to select the most effective parameters of the Elliptic Curve Cryptography (a,b); and proposes four encryption methods : updated symmetric Elliptic Curve Cryptography, modified Menzes - Vanston Elliptic Curve Cryptography, hybrid symmetric and asymmetric Elliptic Curve Cryptography, and hybrid Menzes - Vanston Elliptic Curve Cryptography and AlGamal Elliptic Curve Cryptography.The proposed methods are compared against previous techniques. It is found that these methods outperform the previous techniques in terms of the encryption/decryption processing time and the level of security.

Robust and High Capacity Data Hiding System Using Error Correcting Codes

Author name: نداء حسن عباس
Supervisor name: منذر التكريتي | قاسم زيدان
General topic: Computer Science
Specific topic: Computer Science
Language: English
First pages:
Abstract: اقترح هذا البحث تقنية متينة لاخفاء العلامة المائية والتي نستطيع ان نعالج من خلالها كمية كبيرة من البيانات مثل الصور ذات التدرج الرصاصي.لقد تم تحقيق موازنة بين كمية البيانات المخبئة وبين نوعية الصورة الحاوية للعلامة المائية.تهدف الخوارزمية الى جعل المتطفل يخفق في الوصول الى مكان المعلومات داخل الصورة وذلك من خلال التوزيع العشوائي لمكونات العلامة على كل الصورة. تم تطبيق الخوارزمية في مجال تحويل المويجة (Wavelet Transform) لما لهذا التحويل من فوائد عديدة والتي يمكن استغلالها في كبس الصور وكذلك في التطبيقات العملية للعلامة المائية. لقد تم تنفيذ البحث ايضا بطريقة جديدة وذلك باستخدام شفر تصحيح الخطا لتجاوز مشكلة فقدان البيانات اثناء عملية الكبس والكبس الاضافي الفاقد للبيانات. لقد تم استرجاع الصورة المخفية بشكل تام والنتائج العملية كانت مقنعة بسبب تشابه الصورة الاصلية مع الصورة الحاوية للعلامة المائية وصمود ومتانة العلامة امام الكبس الاضافي. اشارت النتائج العملية بعدم وجود تشويهات مرئية في الصورة المسترجعة حتى بعد 5 % من الكبس الاظافي علاوة على تعقيد اسلوب محاولة كشف العلامة. هذا يشير بان نظام العلامة المائية مقاوم اكثر الى هجمات الضغط ذو الخسارة العالية. | In this research, a robust watermarking system for images is proposed. The proposed scheme can handle a significantly large quantity of data such as gray scale images. A trade - off between the quantity of hidden data and the quality of the watermarked image had been achieved. The proposed algorithm aims to mislead the intruder and prevent the detection of the watermark due to the random distribution of the signature image on the entire image. The algorithm is applied in the wavelet transform domain. The wavelet transform has a number of advantages over other transforms that can be exploited for both image compression and watermarking applications. Therefore, it had been found that it is imperative to consider the wavelet transform domain for watermarking applications.1. Due to the lossy compression, some parts of the watermarking will be lost. For that the algorithm had been implemented with the new proposed approach using error correcting codes skill to overcome this drawback. The impact of different codeword lengths of BCH code is also investigated. The BCH code is effective against burst error. This approach has been compared with the case of embedding without using error correcting codes and satisfactory results were achieved, as the watermarked image was visually similar to the original. Experimental results indicated that are no visible distortions in the watermarked image, and the recovered signature is similar to the original signature even after 5% JPEG lossy compression quality factor. This indicates that the watermark system is more resistant to lossy compression attacks (JPEG).

اخفاء المعلومات في نص عربي باستخدام تقنيات معالجة اللغات الطبيعية == Information Hiding In Arabic Text Using Natural Language Processing Techniques

Author name: عبد الرحيم عبد الصاحب عبد الرحيم
Supervisor name: سهاد مال الله
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
Language: English
University location: Baghdad
First pages:
Abstract: التطور السريع للاتصالات جعل من الصعب للحفاظ على المعلومات في مامن من الاشخاص غير المخولين. بعض المعلومات مهمة وتحتاج الى ان تصنف على انها معلومات سرية مثل الاستخبارات، الاعمال التجارية، والعسكرية... الخ، وتستهدف هذه المعلومات من قبل منافسي المرسل او المت | The fast evolution of communications makes it hard to keep information safe from the unauthorized person. Some information is important and needs to be classified as secret information such as information about Intelligence, Business, Military...etc., th

نظام ادارة معلومات الطلاب == Student Information Management System

Author name: دعاء شاكر ناجي
Supervisor name: لؤي ادور جورج
General topic: Computer Science
Specific topic: Computer Science
Degree: Higher Diploma
University: University of Baghdad
Language: English
University location: Baghdad
First pages:

تطبيق الشبكة الخاصة الافتراضية باستخدام محول الشبكة TUN/TAP == A Virtual Private Network With TUN/TAP Adapter

Author name: رسول احمد كاظم
Supervisor name: عماد جاسم محمد
General topic: Computer Science
Specific topic: Computer Science
Degree: Higher Diploma
University: University of Baghdad
Language: English
University location: Baghdad
First pages:
Abstract: في هذا البحث، تم تطوير شبكة خاصة افتراضية لحل مشاكل امن المعلومات التي يتم نقلها عبر الشبكة للمستخدم، وعبور الجدران النارية المقيدة، وكذلك لربط الحواسيب مع بعضها عبر الشبكة الموسعة.النظام مصمم حسب طريقة الزبون الخادم باستخدام لغة البرمجة - C#. وهذا النظ | In this dissertation, a virtual private network has been developed to solve the issue of network security for the user, cross - over the restrictive firewall, and connect computers through the Wild Area Network (WAN). The application is designed as a clie

العلامة المائية بالاعتماد على تقنيات المسح == Image Watermarking Based on Wipe Technique

Author name: شيماء احمد رشيد
Supervisor name: فيصل غازي محمد
General topic: Computer Science
Specific topic: Computer Science
Degree: Higher Diploma
University: University of Baghdad
Language: English
University location: Baghdad
First pages:
Abstract: في السنين الاخيرة الماضية حدثت ثورة في عالم تكنولوجيا الحاسبات في مجال الـ Hardware والـ Software حيث ظهرت العديد من برامج التواصل الاجتماعي وانتشرت بشكل واسع وسريع جدا, حيث لا يكاد شخص لا يملك حساب على الفيس بوك وظهرت الجامعات التي تدرس عن بعد عن طريق ال | In the recent years happened a revolution in the world of computers technology in the field of Hardware and Software, where many of the social media programs have appeared and spread widely and very fast, which is hardly a person does not have an account

تشفير الصوت الحصصي باستخدام تحويل الجيب تمام المنقطع == Share Audio Cryptography Using DCT Transform

Author name: سارة سعد علي البغدادي
Supervisor name: عبير متي يوسف
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
Language: English
University location: Baghdad
First pages:
Abstract: الحماية الفعالة والامنة للمعلومات الحساسة هو مصدر القلق الاساسي في نظم الاتصالات او انظمة التخزين الشبكي، فمن المهم لاي معالجه معلومات هو ضمان عدم العبث بالبيانات.و لتحقيق السرية وسلامة المعلومات والوسائط المتعددة، تم وضع عدة مخططات الحصص السرية المختلفه | An Effective and secure protection of sensitive information is the primary concern in communication systems or network storage systems, it is important for any information process to ensure data is not being tampered. To achieve confidentiality and integr

تصميم وتنفيذ روبوت مخصص لانجاز مهام خاصة بالهندسة المدنية (عملية طلاء الجدران) == Design And Implementation Specified Robot For Civil Engineering Work (Wall Painting Process)

Author name: يونس صابر عثمان
Supervisor name: عبد الستار محمد خضر | معن محمد شاكر
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
Language: English
University location: Mosul
First pages:
Abstract: يعتبر تصميم وبناء روبوت تحدي كبير ويتطلب الجمع بين علوم مختلفة مثل الالكترونيات والسيطرة والبرمجة والميكانيك والاتصالات والفيزياء. كما ان تجميع وفحص اجزاء الروبوت يتطلب جهد كبير.الخطوة الاولى في هذا البحث هي تصميم روبوت متنقل يقوم بعملية طلاء جدران قاعة. | The design and implementation of a robotic system is a very big challenge. It requires different integrated fields of sciences, like electrical, control, programming, mechanical, communications, physics, and others. The assembling and testing of the parts

تشفير الرسائل القصيره باستخدام RC4 مع مفتاح متغير بالاعتماد على الاندرويد == Sms Encryption Using RC4 With Dynamic Key Based on Android

Author name: سجى طه احمد عبد
Supervisor name: لؤي ادور جورج
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Baghdad
Language: English
University location: Baghdad
First pages:
Abstract: تعد خدمة الرسائل القصيرة (اس ام اس) ھي جزء من خدمة الاتصالات المستنده على ارسال النصوص التابعة لانظمة الاتصالات المتنقلة. وبصرف النظر عن الدردشة الالكترونية، اصبحت خدمة الرسائل القصيرة اليوم مصدرا اساسيا لتبادل المعلومات السريھ او الخاصة، كما انھا تلعب دو | Short Message Service (SMS) is a text based communication service component of mobile communication systems. Apart from electronic chatting, SMS has become a fundamental source for communicating confidential or proprietary information. Also, it plays very

تقسيم وتمييز النص العربي المكتوب يدويا == Arabic Hand Written Segmentation And Recognition

Author name: منى خلف ضمد
Supervisor name: بان نديم ذنون يونس | عماد جاسم محمد
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Baghdad
Language: English
University location: Baghdad
First pages:
Abstract: The ultimate aim of handwriting recognition is to make computers able to understand human written texts, with a performance comparable to that of humans. Arabic handwriting recognition is an active research area in pattern recognition and has many practic

تجنب الحواجز للروبوت المتحرك داخليا == Barrier Avoidance For Indoor Mobile Robot

Author name: ضحى عبد الله عامر
Supervisor name: محمد صاحب مهدي الطائي | لؤي كاظم عبود
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Baghdad
Language: English
University location: Baghdad
First pages:
Abstract: The motivation of current research is addressed in establishing a robotic control system to follow a line was drawn on the ground, and then this system has been programmed to avoid the barriers on its way. Thus, the proposed robotic system is designed to

تعديل قواعد الارتباط الموزعة لتحليل الجرائم == Modification Distributed Association Rules For Crimes Analysis

Author name: ايناس محمد حسين سعيد
Supervisor name: عماد كاظم جبار الفتلي | سـكينه حسن هاشم
General topic: Computer Science
Specific topic: Computer Science
Degree: Doctorate
Language: English
University location: Baghdad
First pages:
Abstract: الجريمة منحت الاولوية القصوى من قبل جميع الحكومات لما لها تاثير كبير على المجتمع.ان تحليل الجرائم المعقدة تتطلب الذكاء البشري والخبرة. لقد باتت وكالات تطبيق القانون مثل الشرطة تواجه مشكلة الحجم الكبير للبيانات التي يجب معالجتها وتحويلها الى معلومات مفيدة | Crime is a major issue what has been given the top priority by all governments. Law enforcement agencies like that of police today are faced with large volume of data that must be processed and transformed into useful information. Accordingly to, solving

اقتراح نموذج التعدين لتحليل الشبكات الاجتماعية على الانترنت (الفيسبوك) == Proposed Mining Model For online Social Network Analysis (Facebook)

Author name: سراء موفق عبود
Supervisor name: سكينة حسن هاشم
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
Language: English
University location: Baghdad
First pages:
Abstract: شبكات التواصل الاجتماعي على الانترنت, في بعض الاحيان تسمى وسائل اجتماعية, اصبحت جزء اساسي في حياة معظم الناس اليومية من عملية فحص حسابات الفيسبوك والتويتر حتى عملية النشر فيها, وقائمة الاهتمامات وتحميل اشرطة فيديو اليوتيوب يمكن لهذه الشبكات الاستفادة للمش | Online Social Networks (OSN), sometimes called social media, have become an essential part of most people’s everyday lives, from checking Facebook and Twitter to posting blogs, interesting listings, and uploading of YouTube videos. These networks can leve

نهج جديد للمحادثة الامنه في الوقت الحقيقي == New Approach For Security Chatting In Real Time

Author name: سرى خلف اخباله
Supervisor name: علاء كاظم فرحان
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
Language: English
University location: Baghdad
First pages:
Abstract: ان اي منظمه لها موظفين فانها تكون بحاجة الى نظام اتصالات فيما بينهم ويمكن استخدام نظام محادثة خاص يعمل على الشبكة الداخلية للمنظمة )انترانت( او عام ويعمل على شبكة الويب )الانترنت( لتبادل المعلومات والاستعلام فيما بينهم. فالمحادثة هي المشاركة المتزامنه في | Any organization having any number of employees needs a communication system which could be used for private conversation on the organization's internal network (intranet) or in working on the Web (Internet) to exchange information and inquiry among its m

تصنيف صور الماموكرام باستخدام التحويلات الكنتورية == Mammogram Images Classification Using Contourlet Transform

Author name: زينب فوزي عبد
Supervisor name: مثيل عماد الدين عبد المنعم
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
Language: English
University location: Baghdad
Key words:
  • Mammogram Image
  • Classification
  • Contourlet Transform
  • Wavelet Transform
  • Otsu's Thresholding
First pages:
Abstract: Breast cancer is the most common malignancy in adult females and is the second most common disease that may lead to death. Early detection is important for manage breast cancer that give a better chance of full recovery. The detection rate can be increase

خوارزمية تصنيف شجرة القرار الامثل لمجموعة بيانات == An Optimized Decision Tree Classification Algorithm For A Data Set

Author name: احسان ا. كريم
Supervisor name: Mehdi G. Duaimi
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Baghdad
Language: English
University location: Baghdad
First pages:
Abstract: A decision tree is an important classification technique in data mining classification. Decision trees have proved to be valuable tools for the classi?cation, description, and generalization of data. Work on building decision trees for data sets exists in

ضغط البيانات باستخدام تمثيل الترميز التسلسلي == Data Compression By Using Chain Code Representation

Author name: فنر علي جودة
Supervisor name: توفيق عبد الخالق الاسدي
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
Language: English
University location: Babylon
First pages:
Abstract: In this thesis we have proposed an efficient lossless image compression system. This system consists of two parts : the first part is compression procedure that is based on two approaches of chain code representation. The first approach is Variable Vertex

طريقه جديدة لكشف واستخراج التزوير من اللوحات الفنية == New Method For Detect And Extract Forgery From Paintings

Author name: سبا راكان سالم
Supervisor name: هناء محسن احمد
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
Language: English
University location: Baghdad
First pages:
Abstract: نظرا لتوفير العديد من برامج تحرير الصور وادوات معالجتها, مما ادى الى سهوله التغير على المعلومات التي تحملها اللوحات دون ترك اي اثار واضحه عليها جراء العبث بها والتي ادت الي مشكله التحقق من الصور. ومما ادت هذة القضايا المتعلقة بامن الوسائط المتعدده في تطو | Due to availability of many image editing and processing tools, it is possible to easily change the information represented by a digital paintings without leaving any obvious traces of tampering, which led to the problem of verification the image.These i

اكتشاف العيب للصور الشعاعية مع التعليق باستخدام المربع الاصغر لماكنة الدعم الموجه وقواعد عامة وخاصة للتصنيف == Defect Detection of Radiography Image With Annotation Using Lssvm_Gsc Techniques

Author name: وفاء محمد سعيد الاسدي
Supervisor name: يحيى مهدي هادي الميالي
General topic: Computer Science
Specific topic: Computer Science
Degree: Doctorate
Language: English
University location: Babylon
Key words:
  • Image Processing
  • Weld Image Defect Detection
  • Image annotation
  • Radiography Image
First pages:
Abstract: استرشادا بالشعوربالمسؤولية ورغبة في مساعدة اكتساب معرفة عميقة حول دراسة تنوع العيوب في صور التصوير الشعاعي، لهذا سنتعرف على هذه العيوب الموجودة في هذه الصور، ومن ثم اعطاء كل صورة بعض الكلمات التي تعكس محتوياتها الرئيسية، وبناء قاعدة بيانات للصور مع الشرح | Guided by the sense of responsibility and its desire to help gain a deep knowledge and the diversity of the defects exist in the radiography images, this Dissertation recognizes the defects exist in the these images, then given each image some keywords re
1 ... 61 62 63 64 65 ... 75