مشاريع طلاب خريف 2024 - F24 - Toggle
بــنــاء نــظـــام ذكـــي لتقــــيـــيــم جــــــودة الخــيـــوط الــقــطــنــيــة
Building a Smart System to Evaluate the Quality of Cotton Yarns
This thesis addresses a fundamental problem in the spinning and textile industry: the subjective and inconsistent evaluation of cotton yarn appearance according to the ASTM D2255-09 standard. The traditional assessment method, which relies on human expertise and visual comparison, leads to a lack of consistency, errors in quality and price determination, and significant waste of time and resources.
This research aims to develop a fully intelligent and objective system for evaluating yarn appearance by leveraging the analytical capabilities of computer vision and artificial intelligence. To achieve complete independence from human intervention and improve assessment accuracy, five models were designed and trained using Convolutional Neural Networks (CNNs)—a key deep learning technique for image analysis—to perform accurate yarn appearance classification.
Following a comprehensive evaluation of the models, an interactive web platform was developed to enable factories to conduct professional and objective quality assessments. This system is expected to provide substantial savings in resources, time, and cost, in addition to ensuring a continuous improvement in the final product's quality. This research serves as a practical application of modern technologies in evaluating yarn properties and provides a solid foundation for future research in the textile sector.
إعداد: الطالب غـــانـــدي غــــــازي أحــمـــد
إشراف: الدكتور المهندس رائـــــوف حـــمــــــدان
بــنــاء نــظـــام ذكـــي لتقــــيـــيــم جــــــودة الخــيـــوط الــقــطــنــيــة
تصميم وتطوير نظام ذكي لتحليل وإدارة إنذارات أعطال الشبكة الخلوية في بيئة عمل MTN Syria
Design and development of an intelligent system for analyzing and managing cellular network failure alerts in MTN Syria operating environment
Cellular communication networks are the cornerstone of our modern interconnected world, having revolutionized the way individuals and businesses communicate. Since the emergence of the first generation (1G) in the late 1970s, these networks have evolved tremendously, transitioning from providing simple analog voice calls to offering high-speed data services that support complex applications like high-definition video, augmented reality, and the Internet of Things (IoT). Mobile phones and other wireless devices have become an integral part of our daily lives, making reliance on these networks critically important. As this dependency grows, so does the importance of understanding the failures and challenges facing these complex systems.
Failures in cellular communication networks can lead to service disruptions, significant economic losses, and negative impacts on the user experience. Telecommunication companies like MTN Syria face significant challenges in managing network failures due to the increasing complexity of the infrastructure and the high volume of alarms generated by the Network Operations Center (NOC).
This project aims to develop an intelligent, integrated system that uses artificial intelligence techniques to analyze and manage fault alarms from the Network Operations Center (NOC) at MTN Syria. It will link these alarms directly with a live Ticketing System to expedite the response and resolution process. The project also seeks to represent faults on an interactive map using Geographic Information Systems (GIS) to provide an accurate and immediate visual of fault locations. Additionally, it will send real-time notifications to technical support staff via an Android application, enabling them to view details and take appropriate action. The project's significance lies in its step towards automating fault management and reducing reliance on manual procedures, thereby enhancing service quality and reducing recovery time (MTTR).
إعداد: الطالب عباده عز الدين
إشراف: الدكتورة سيرا أستور
تصميم وتطوير نظام ذكي لتحليل وإدارة إنذارات أعطال الشبكة الخلوية في بيئة عمل MTN Syria
تطبيق المساعد الجامعي الشخصي
Personal University Assistant App
Managing academic life for students at the Syrian Virtual University poses a significant challenge due to the fragmentation of services across three separate platforms (SVUIS, LMS, and SVUE email system), leading to difficulties in tracking and inefficient access to educational services and resources.
To solve this issue, this project propounds the design and development of an integrated mobile application dubbed "Waseet" for the Android system with the intention of aggregating academic services and educational material in a centralized system. The application embraces an Evolutionary Prototyping approach to achieve requirements consistency and incremental development with the feedback of the users.
The application was developed using modern technologies, including the Flutter framework for the frontend, Django for the backend and APIs, SQLite for local storage, and Firebase Cloud Messaging for notifications.
The application features a set of integrated functionalities, most notably: (1) integration of core academic services (schedules, results, educational content) (2) an intelligent notification system for lectures and important deadlines (3) additional educational resources added by volunteer mentors (4) an AI-powered chatbot for answering questions (5) helper tools such as notes and an academic calendar.
The outcome is a complete product that functions as a comprehensive educational platform, benefiting all students by providing a unified and seamless experience, while enabling administrators to monitor operations and send notifications and news. The application is recommended as a scalable model applicable to other educational institutions.
إعداد: الطالب علاء عيسى علي
إشراف: الدكتور عصام سلمان
منصة كراج سيارات لإدارة الحجوزات
Parking Garage Platform for Reservation Management
Urban parking management is a serious traffic and monetary problem in highly populated cities. Conventional systems have huge operational drawbacks, such as inability to detect available spaces, time loss searching, inefficiency in the manual mode of payment, and failure by administrations to dynamically monitor occupancy or exploit the data for increased revenue.
Addressing this problem, the present thesis proposes the design and implementation of an integrated web-based platform for parking garage management. The system aims to bridge two primary gaps: enhancing the user experience, whether for occasional visitors or regular subscribers—and empowering operational management through robust monitoring and decision-making tools. The solution adopts the philosophy of e-management to transform manual processes into a centralized automated system.
The platform was built through the utilization of a suite of contemporary technologies, such as React.js and Node.js and Express.js for developing user and server-side components, and the usage of QR codes for facilitating entry and exit processes, and Twilio services for notifying and e-mailing. An iterative waterfall approach was taken by the project for managing lifecycles, allowing for flexibility in going back and forth concerning requirements and error rectification at early phases.
The system’s main contributions include: (1) search and advance reservation of parking spaces with electronic payment, (2) a comprehensive subscription management module for monthly and annual plans, (3) an all-inclusive dashboard enabling managers and staff to monitor real-time operations and generate analytical reports, and (4) flexible mechanisms for handling emergencies, such as lost QR codes.
The outcome is a fully operational, centralized system that benefits everyone involved: providing drivers with smooth and reliable experience, enabling service personnel to work effectively, and providing garage managers with effective tools for improved operational and financial success. The system is a solution that can truly exist in the real world that has the potential to reduce traffic congestion and help cities become smart and sustainable.
إعداد: الطالبة منار ياسر عسراوي
إشراف: عمار علي زقزوق
المنصة الإلكترونية المتكاملة لحلول التنقل الذكي لأطفال الاحتياجات الخاصة
Smart Bicycle Tracking System for People with Special Needs
Many children with special needs face significant challenges in independently riding traditional bicycles, due to issues such as poor balance, limited control, impaired vision, or cognitive difficulties. The risks increase when they commute alone to rehabilitation centers or schools, where incidents of getting lost or disoriented may occur. These challenges call for intelligent technological solutions that enhance safety and reduce potential hazards.
This study aims to design and develop a smart system that can be installed on a traditional bicycle, transforming it into a customized smart bike for children with disabilities. The system integrates advanced sensor units to maintain self-balance and automatically detect and avoid obstacles without the need for manual intervention, thereby reducing accident risks.
Additionally, the bike is equipped with a GPS tracking module that transmits real-time geolocation data to parents or supervisors, ensuring precise monitoring of the child’s movements—especially during commutes to and from educational or rehabilitation institutions. The accompanying mobile application allows full remote control of the bicycle, including speed adjustment, steering, and emergency stopping if needed.
This project represents a synergy between smart hardware and custom software, forming a secure and reliable system that empowers children and provides their families with greater reassurance and independence. It also opens the door to expanding the applications of smart mobility in the fields of education, healthcare, and rehabilitation.
إعداد: الطالبة هبة الله محمد نهاد إخلاصي
إشراف: الدكتور محمد مازن المصطفى
المنصة الإلكترونية المتكاملة لحلول التنقل الذكي لأطفال الاحتياجات الخاصة