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Communities in DSpace

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Recent Submissions

OPTIFORK
(Dr. Samer Mayaleh, 2026-01-27) Ali Turabi; Anas Ismael
This project presents the design and implementation of OptiFork, an autonomous warehouse robotic system aimed at improving efficiency and organization in modern warehouse operations. The system addresses key challenges associated with manual material handling, such as slow item retrieval, high labor dependency, and unstructured transactions that may lead to errors in inventory management. OptiFork integrates embedded control systems with intelligent navigation to enable automated retrieval and delivery of items from storage shelves to designated delivery points. The system employs a dual-controller architecture, utilizing an Arduino Mega as the main motion and execution controller, and an ESP32 module for wireless communication and interaction with the warehouse management interface. This architecture ensures reliable real-time control while supporting flexible communication with external systems. The robotic platform is equipped with DC motors with gearboxes for mobility, stepper motors for precise lifting and positioning, and multiple sensors including IR sensors, ultrasonic sensors, and an MPU6050 inertial measurement unit. These components enable accurate navigation, obstacle detection, and orientation control within the warehouse environment. Unlike fixed X–Y–Z automated storage systems, OptiFork operates as a mobile robot, offering greater flexibility and reduced infrastructure cost. A key feature of the system is its structured, non-random transaction mechanism. Item requests are received through a computer-based interface managed by the warehouse supervisor, then processed and executed by the robot based on predefined shelf locations and item types. After completing each delivery, the system updates the inventory database to reflect item movement, ensuring accurate stock tracking. Experimental testing demonstrates that OptiFork achieves reliable autonomous navigation, accurate item retrieval, and efficient delivery performance. The project highlights how low-cost embedded systems and modular mechanical design can be combined to create a scalable and cost- effective warehouse automation solution, contributing to faster operations, reduced human intervention, and improved overall warehouse management.
Smart Glove Controlled Wheelchair
(Dr.Aladdin Masri,Hanal Abu Zant, 2026-06-14) Nagham Fraij; Akram Abu Aisheh
People with mobility impairments often face difficulties using traditional wheelchair control systems, especially when operating joysticks or manual controls. This project presents a Smart Glove Controlled Wheelchair that enables users to control wheelchair movement through simple hand gestures. The proposed system consists of two main units: a glove unit and a wheelchair unit. The glove unit is equipped with an Arduino Nano, an MPU6050 motion sensor, and an HC-05 Bluetooth module. The MPU6050 detects the orientation and movement of the user's hand, while the Arduino Nano processes the sensor readings and converts them into movement commands. These commands are transmitted wirelessly via Bluetooth to the wheelchair unit. The wheelchair unit consists of an Arduino Nano, an HC-05 Bluetooth module, an L298N motor driver, DC motors, an HC-SR04 ultrasonic sensor, and a buzzer. Upon receiving commands, the system controls the wheelchair movement in different directions, including forward, backward, left, right, and stop. In addition, the ultrasonic sensor continuously monitors the surrounding environment and detects obstacles to improve user safety by preventing collisions. The proposed system provides a low-cost, reliable, and user-friendly assistive mobility solution. It enhances user independence and demonstrates the practical integration of embedded systems, wireless communication, and sensor technologies in healthcare and assistive applications.
Safrly
(Dr. Hanal Abuzanat, 2026-01-27) Shahd Zuheer; Nagham Fraij
This project proposes the development of a smart tourism and transportation application designed specifically for Palestine (Safrly). The system aims to provide a centralized platform for tourists and local users to enhance their travel and hospitality experience. The application includes a comprehensive directory of hotels across various cities, displaying information such as images, prices, ratings, services, star classification, breakfast availability, and nearby landmarks. The app offers an integrated transportation service where tourists can request taxis, with the best price calculated using AI algorithms that determine the shortest routes and optimal fares. It features a user-friendly interface with options like dark mode to make navigation easier. AI is used to provide personalized recommendations for cultural, historical, and tourist sites based on user preferences. A built-in chatbot guides users through the system, making the experience interactive. Tourists can request certified tour guides, each with a detailed profile including personal information and pricing. The app also includes a translation feature to ensure communication regardless of language and supports submitting digital requests for entry into Palestinian territories with notifications upon processing. The platform incorporates a rating and review system for hotels, guides, and taxi services, flexible payment options, and a dedicated offers section. The project methodology relies on developing an easy-to-use interface, integrating AI for personalized services, and building a robust backend system. Although there are global tourism applications, there is currently no application focusing specifically on Palestine that combines integrated transportation, hotel booking, certified tour guides, AI-based multilingual support, digital entry request features, and interactive offers, making this project unique and tailored to local needs. By combining tourism services, smart transportation, multilingual support, and interactive AI features, this project seeks to deliver a comprehensive solution that facilitates tourism in Palestine and contributes to the development of the local service economy
EVALUATION OF FORMULATED PROTEIN BARS WITH SUSTAINABLE SEED-CAKES
(An-Najah National University, 2026-07-13) Sawafta Roaa
MENTAL HEALTH AND ITS ASSOCIATION WITH BIOLOGICAL, BEHAVIORAL, AND SOCIAL FACTORS AMONG ARABS IN ALMUTHALTH AREA
(An-Najah National University, 2026-07-16) Aseel Mahameed