البحث — المستودع الرقمي العراقي

نتائج البحث: 3 من أصل 3

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

اسم المؤلف: نهلة فليح حساني الشويلي

اسم المشرف: كاظم حسن كبان الابراهيمي

الموضوع العام: علوم الحاسبات

السنة: 2017

الموضوع الدقيق: علوم الحاسبات

الدرجة: ماجستير

الجامعة: جامعة ذي قار - كلية التربية للعلوم الصرفة - قسم الحاسبات

اللغة: الانكليزية

مكان الجامعة: ذي قار

الصفحات الاولى:

المستخلص: 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

اسم المؤلف: نور حيدر داخل

اسم المشرف: حازم باقر طاهر العلي

الموضوع العام: علوم الحاسبات

السنة: 2017

الموضوع الدقيق: علوم الحاسبات

الدرجة: ماجستير

الجامعة: جامعة ذي قار - كلية التربية للعلوم الصرفة - قسم الحاسبات

اللغة: الانكليزية

مكان الجامعة: ذي قار

الصفحات الاولى:

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

اسم المؤلف: اطياف ضاري برغش

اسم المشرف: خلدون ابراهيم عارف

الموضوع العام: علوم الحاسبات

السنة: 2017

الموضوع الدقيق: علوم الحاسبات

الدرجة: ماجستير

الجامعة: جامعة ذي قار - كلية التربية للعلوم الصرفة - قسم الحاسبات

اللغة: الانكليزية

مكان الجامعة: ذي قار

الصفحات الاولى:

المستخلص: 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.