ANNU Digital Library

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Recent Submissions

Noodly
(Dr. Emad Natshah & Dr. Abdullah Rashed, 2025-09-20) Shahd Hennawi; Talah Qamhieh
Instant noodles are among the most popular quick meals consumed worldwide, particularly by students and individuals with fast-paced lifestyles. However, preparing noodles manually can be time-consuming and inconsistent in quality. This inspired us to design a fully automated electromechanical system – the Noodle Machine – that prepares a complete bowl of noodles from start to finish based on user-defined preferences. The machine is designed to handle the entire preparation process automatically, from heating to serving the final product. it’s controlled via a keypad and LCD screen which the user selects one of three available flavors and specifies the desired spiciness level. The main objectives of this project are to streamline the preparation process, ensure consistency in taste and quantity, and provide a fully hands-free cooking experience. Our methodology involved integrating various hardware components including an Arduino- based controller, a piston-based dispenser system, stepper motors, relay, power supply..., All components are synchronized via embedded software to execute each task in precise order and timing. Although there are some commercial machines that partially automate noodle vending or water heating, a fully customizable and automated noodle preparation system at a personal or semi-commercial scale is still relatively rare. Our project aims to fill this gap with a compact, cost-effective, and user-friendly solution
SchoolHub
(Dr. Emad Natsha, 2026-01-27) Shahd Hennawi; Hala Maree
Abstract Managing school-related information and communication among parents, students, teachers, and administrators can be challenging when handled through fragmented systems. SchoolHub is a smart school management application designed to unify these processes within a single digital platform that enhances communication and provides real-time access to academic and administrative data. The system adopts a multi-user model that includes parents, students, teachers, school administrators, and warehouse administrators, where each user interacts with the application according to their assigned role. Parents can monitor their children’s academic progress, attendance, uniform requests, and direct communication with teachers. Students are provided with access to timetables, homeworks and exams, grades, and an integrated academic calendar to support academic organization. Teachers can efficiently manage classes by recording attendance, assigning homework, entering grades, submitting absence requests, and communicating with parents. School administrators oversee students and staff, schedules ,and official announcements, while warehouse administrators manage uniforms, stock, and related requests. The application further supports features such as grade management, exam scheduling, messaging system, smart uniform management, administrative control, posts notifications, and the generation of training quizzes with instant correction tools. Overall, SchoolHub aims to improve school operations, enhance communication, and provide a reliable digital environment that supports all stakeholders in the educational process.
Auto-Leveling Control System
(Falah Mohammed, 2026) Khalid Mujahed Jaara
In this graduation project, a low-cost camera base prototype is implemented using two independent Arduino Uno boards. Arduino A performs automatic stabilization on a single axis (Pitch) using the MPU6050 sensor and a servo motor. At startup, a reference pitch angle is captured while the platform is held still. During operation, the current pitch is filtered and compared to the reference; when the error exceeds a defined threshold, the servo is moved step-by-step to compensate and reduce the tilt. Arduino B is dedicated to user interaction and lighting. It receives Bluetooth commands (HC-05/HC-06) to manually rotate the base servo, automatically turns an LED light ON/OFF based on a digital LDR module (with optional manual override), and displays live status on a 16x2 I2C LCD. The two subsystems are intentionally not connected to simplify wiring, improve reliability, and make debugging easier.
Self-Leveling Base
(Dr. Falah Mohammed, 2024) Khalid Jaara
To be able to measure and compensate for imbalance is essential for stabilizing mechanisms. The technique is applied in everything from self-stabilizing cameras to helicopters and noise reducing equipment. This report describes the development of a self-stabilizing platform, and includes theory about sensors, filters and motor modelling, and also practical tests. The purpose is to answer how the system will behave when a load is placed asymmetrically on the platform and if it is possible to compensate for the imbalance that occurs. The tilt of the platform is measured by an IMU, a sensor combining accelerometers and gyroscopes. A Kalman filter is used to combine the data. From this a signal, with noise levels within the requirements, was obtained. A theoretical model was set up for the system. The system was modelled based on a load of 125g placed in the center of the platform. Two DC-motors compensate for the tilt around each axis. The motors are seen as separate sub systems and are controlled independently. The system is controlled by two PID-controllers which were designed based on the requirements that were set up regarding speed and stability. A short rise time and a small overshoot were essential to be able to minimize the torque on the motor shafts. The same requirements were set for each sub system. The chosen PID-parameters acquired a system which at a step input of 11.4° had a rise time of 0.75s, a settling time of 1.35s and an overshoot of 0.8%. The demonstrator that was constructed was put through a number of tests to answer the research questions. By placing the load at different distances from the center, the theoretical model was examined from its sensitivity to deviations. The test showed that a farther distance
NablusBus
(Dr. Anas Toma, 2025-02-04) Omar Ratrout; Maen Khader
IV Acknowledgment As a start, we thank God for blessing us and entrusting us with our task. wish to use the information we have gained through the kindness of God to benefit our religion and country. We would like to thank our project supervisors, Dr. Anas Toma & Dr. Ashraf Armoush, for her invaluable advice and continuous encouragement. The accomplishment of the best results and the success of this project were significantly influenced by his guidance and assistance. Also, we would want to express our gratitude to the An Najah National University Computer Engineering Department lecturers for building a supportive learning environment and dispensing profound knowledge. Lastly, we would like to extend our heartfelt thanks and appreciation to our family and friends, who stood by us throughout this journey, offering unwavering support and continuous encouragement. Their support assisted us in overcoming obstacles and challenges.