البحث — المستودع الرقمي العراقي

نتائج البحث: 3 من أصل 3

نظام استرجاع الصور المشفرة بالاعتماد على تحليل الخصائص Retrieval System of Encrypted Images based on Features Analysis

اسم المؤلف: فادية فؤاد حنتوش

اسم المشرف: ميثاق طالب كاطع

الموضوع العام: علوم الحاسبات

السنة: 2017

الموضوع الدقيق: علوم الحاسبات

الدرجة: ماجستير

الجامعة: الجامعة المستنصرية - كلية العلوم - قسم الحاسوب

اللغة: الانكليزية

مكان الجامعة: بغداد

الصفحات الاولى:

المستخلص: To search in image collections based on visual content is potentially a very powerful technique. Content - based search provides an important tool for users to consume the ever - growing digital media repositories. However, since communication between digital products takes place in a public network, the necessity of security for digital images becomes vital. Hence, the design of Secure Content Based Image Retrieval (SCBIR) system is becoming an increasingly demanding task as never before.This thesis, presents a mechanism that addresses the SCBIR as a novel improvement and application for the image retrieval. The proposed system consists of six phases briefly described as follows : first, feature extraction phase, which produces the low - level quantitative description of the image (color and texture) that allows the computation of similarity measures, the definition of the ordering of the images, and the indexing of the search processes. Second, indexing phase, Hash table and Bloom filter were employed for classification. Third, feature encryption phase, where content protection is performed using Chaotic Logistic Map (CLM) and logical operations. Fourth, image encryption phase, as a security mechanism for CBIR, two research fields in computer science was combined, CBIR and image cryptography, which grow up to meet the trends of security and speed in current computer sciences, CLM and Rivest cipher 4 algorithms were applied. Fifth, retrieval phase, which provides a subset of images answering the query based on the similarity between images computed over the feature vector extracted from each image. Finally, Relevance feedback phase, a technique that attempts to capture the user’s needs through iterative feedback. Although the system proved its efficiency in security strength, computational complexity, and search performance with 88% of average precision, it does not mean the optimal system was designed, since some weakness points still can be found that are suggested to be improved as a future work.

نظام محاكاة تعليمي على نموذج الرسوم المتحركة ثلاثية الابعاد Instructional Simulation System for 3D Animation Model

اسم المؤلف: زينة عبد اللطيف سلمان

اسم المشرف: كريم قاسم حسين

الموضوع العام: علوم الحاسبات

السنة: 2017

الموضوع الدقيق: علوم الحاسبات

الدرجة: ماجستير

الجامعة: الجامعة المستنصرية - كلية العلوم - قسم الحاسوب

اللغة: الانكليزية

مكان الجامعة: بغداد

الصفحات الاولى:

المستخلص: Instructional Simulation System (ISS) is widely used because of the revolution in software and hardware computer technologies. It used as a behavior of model to get a well understanding of that action. Every discipline has its own conceptual structure of simulation.Frequent use of traditional teaching methods lacks the use of Three Dimensional (3D) Instructional Simulation (IS) of Computer Graphics (CG), and most of IS use internet.For the reason of that, the major objective of this proposed research is to build a system that has the ability to submit IS for 3D Animation Model (3DISM). This proposed research presents a practical approach of 3DISM that involves specific physics experiments for third graders at intermediate schools in Iraq.The 3DISM representation consists of four phases (analysis, design, implementation, and tests) occupied from Object Oriented Software Engineer (OOSE), and E_learning. The methodology of implementing 3DISM to produce Three Dimensional Instructional Simulation System (3DISS) consists of three stages, which appear as three main user interfaces : - 3D movies interface, 3DIS interface, and test simple examination interface.Many selected software and hardware are used to implement the system in 3D CG manner, such as Autodesk Maya 2014 program, and its algorithms to create the 3D vision of the experiments, and produce sequence of high - resolution images.iiAdobe Premiere Pro CC program is used to create 3D movies learning with voice. Tadween program is used with adobe premiere pro CC to accept Arabic language. The User Interfaces (UIs) designed by using C# in Microsoft Visual Studio 2010.The proposed 3DISS for 3DISM presents IS in specific physics theory subjected to students' need, because 3DISS is a representation of theoretical and practical approach from their study book and implemented in easy, repeatable manner. Finally, performance of the proposed ISS built and tested using OOSE in evaluating it.The successful results of 3D experiments that tested, the 3DISS is easy to use without any training and at any time, and the student is able to make repeatable computations via simulation environment.iiiList of Abbreviations Symbol Meaning 2D Two Dimensional 2DIS Two Dimensional Instructional Simulation 3D Three Dimensional 3DVW Three Dimensional Virtual World 3DCG Three Dimensional

طريقة تصنيف محسنة للكشف عن الامراض في عينات دم الانسان Improved Classification Approach to Detect Diseases in Human Blood Samples

اسم المؤلف: رنا علي سالم

اسم المشرف: جميلة حربي سعود العامري

الموضوع العام: علوم الحاسبات

السنة: 2017

الموضوع الدقيق: علوم الحاسبات

الدرجة: ماجستير

الجامعة: الجامعة المستنصرية - كلية العلوم - قسم الحاسوب

اللغة: الانكليزية

مكان الجامعة: بغداد

الصفحات الاولى:

المستخلص: Image processing technique for diagnosing diseases in medical image isconsidered very important for human life. Image classification of objectsinto a number of categories or classes is the goal of pattern recognition.Depending on the application, these objects can be images or signalwaveforms or any type of measurements that need to be classified.Microscopic images are allowed to count the classification of bloodcells which is used in evaluating and diagnosis of many diseases. Leukemiais a blood cancer that can be detected through the analysis of WBCs orleukocytes.This thesis aims to improve a classification system to process the inputmicroscope images taken for blood sample, extract the discriminatingfeatures of the White Blood cells (WBCs), and then utilize these featuresto distinguish and recognize the type of cell Leukemia or normal cell. Also,this thesis proposed a system of recognition algorithm, which discriminatesthe WBCs normal or blast cells.The proposed Acute Lymphocytic Leukemia detection andclassification (ALLDC) system for detecting and classifying ALL cells inALL - IDB1 image datasets is used in this thesis. To achieve this aim, ourproposed ALLDC system classifies all cells as ALL and noncancerouscells using two classification techniques applied separately to classify theWBCs normal or blast cells : two classifiers are suggested in our work suchas k - nearest neighbor (KNN) and Artificial Neural Networks (ANN); toclassify WBCs cells has four main steps; The first step is imagepreprocessing, image enhancement is used as preprocessing on this thesis,and that is for improving the quality of images. Nucleus segmentation isthe second step of this thesis. Segmentation of nuclei is performed by usingOtsu’s method frequently applied to segment the image. After applyingsegmentation algorithm on our images, features of nuclei are extractedfrom the result of segmentation part and because there are a high numberof features, some of them are selected as the best features. Featureextraction is considered as the third step, features extracted from nucleiincluding area, perimeter, and circularity are used in KNN classifier andarea, perimeter, circularity, form factor, and minor/major axis are used inANN classifier. The final step is the classification of cells for classificationpart.Classifications rate of defect WBCs is (66.67%), this percentage isimproved by using ANN classifier, where Classification rate of defect cellsis reached (72.22%).