Communities in DSpace
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Recent Submissions
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Design and fabrication of a pilot wind turbine
(2025-07-14) Qusay Mansour; Qais Awartani; Akram Alkhateeb; Waseem Ishtayeh
In response to the growing demand for clean energy and the global shift toward sustainable development, this project presents the design, fabrication, and feasibility analysis of a Savonius vertical-axis wind turbine (VAWT), designed for the wind conditions in Nassariyah, Palestine. The turbine features an S-shaped rotor design designed using SolidWorks, with key geometric parameters—such as aspect ratio, overlap ratio, and endplate dimensions—optimized based on a comprehensive literature review.
The system was physically fabricated and field-tested, demonstrating promising performance at rotation speeds of up to 1,500 rpm under moderate wind speeds. Economically, the turbine generates an annual net return of NIS 4,884, with a payback period of only 2.6 years, resulting in a net profit of NIS 84,680 over a 20-year lifespan.
This study highlights the feasibility of small-scale wind energy systems in rural Palestinian areas, offering a cost-effective and environmentally friendly solution to the region's energy challenges.
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SweepUp Stairs
(2025) Jood Hamdallah; Saleh Sawalha
This project aims to create an autonomous stair-cleaning robot capable of detecting, climbing, and cleaning stairs efficiently. Cleaning stairs manually takes a lot of time and effort, especially in buildings with many floors. Most robotic vacuum cleaners are only made for flat surfaces and cannot clean stairs. This project solves that problem by creating a robot that can move up stairs while cleaning them efficiently.
The robot uses an OAK-D camera to detect stairs accurately and guide movement. It is controlled by Arduino and Raspberry Pi, which manage the motors, sensors, and cleaning functions. Smart navigation and detection sensors help the robot move smoothly and maintain balance. The cleaning system includes rotating brushes and dust collectors to remove dust and dirt from each step automatically, reducing the need for manual work.
Tests showed that the robot can detect stairs, climb them, and clean effectively. However, some chal- lenges were found, such as high power consumption and heavy weight. Even with these issues, the robot achieved its main goal and proved that stair cleaning can be automated.
Future improvements could include making the robot go down stairs, improving battery life, and adapting it for outdoor stairs. This project shows how robotics can make cleaning easier, save time, and provide a practical solution for both homes and businesses.
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Little Hands
(2025) Jood Hamdallah; Saleh Sawalha
This project “Little Hands” presents a digital child care platform designed to connect parents with trusted
caregivers, child support specialists, and experts through a single, easy-to-use app. It helps parents find and
book the most suitable support based on their specific needs, offering access to essential services such as
babysitting, special needs care, and expert consultations—whether at home, school, or online.
The application was developed using Flutter for the frontend (user interface) and Node.js for the backend
(server side). It features dedicated user interfaces for both families and caregivers, with a secure login and
registration system. Caregivers can register, subscribe to the platform, and choose a specific role (e.g.,
babysitter, expert, or special needs supporter). Parents in turn, can search for matching caregivers, browse
detailed profiles, check availability, read reviews, exchange messages, and book sessions for the desired service
directly through the app.
Main features include guided booking flows, personalized caregiver matching, integrated feedback and rating
systems, real-time messaging, notifications, and calendar-based scheduling. In addition to live services,
the platform also offers access to valuable children-related educational content shared by expert caregivers,
helping parents stay informed and supported beyond the sessions.
By incorporating essential child care services in one platform, Little Hands offers parents a reliable, easy,
and convenient way to find professional support for their children’s health, development, and well-being.
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Sorting System
(2025) Ahmad Saadeh; Ahmed Awwad
The proposed project is an automating sorting system that sort the items according to its color or shape. The system based on image processing using raspberry pi camera that will be synchronized with a belt controlled by a DC motor.
Main Features:
1.
Real Time Object Detection and Sorting:
A Raspberry Pi camera will be used to detect the items to be sorted according to their color, size or shape. The system will lead the item into its right path that will be three servo motors, if we suppose we have three different items and three different paths, those servos will change the path of the item on the belt.
2.
Conveyor Belt and DC Motor Control:
The belt generally will be powered by a DC motor. Also, there will be sensors placed at some location to detect where the item reaches with feedback for the Arduino which is responsible to control the servo motors.
3.
Servo Motors Driven Sorting Path:
Servo motors that are responsible for pushing the products or lead them into their right path are independent. So, every servo will manage one path only. The servo will return to its normal position as the sensors in the needed path gave feedback to the control unit.
4.
Load Monitoring:
The end of any bath will lead to a specified load box. Those boxes will be designed to make sure there is no overload on them. So there will be sensors to detect the load capacity on those boxes.
5.
Strategy to Free Up the Full Boxes.
6.
Asynchronous System.
Practical Applications:
This sorting machine system is automated and could be used in various applications in industries like Logistics Warehousing to sort the items based on destination or type. Also, the Recycling Centers could use such a thing to sort recyclable materials like plastic, metal and glass.
There are more applications that could be using such a sorting system like Food and
Item
Talent Link
(2025) Ahmad Saadeh; Ahmed Awwad
Many individuals, such as students, graduates, employees, and freelancers, find it difficult to get job or training tasks that are compatible with their skill sets. Conversely, companies find it hard to discover the appropriate talent in an effective way. The objective of this project is to develop a system that utilizes a smart matching algorithm to compare existing competencies with the competencies that are required so that employment, training, and contracting with freelancers can be made more efficient.
Main Features:
1.
User and Company Profiles:
Individuals can create profiles showcasing skills, work preferences, and past projects. Companies can post opportunities (jobs, internships, freelance projects) and specify required skills.
2.
Smart Matching System:
Automatically matches individuals with suitable opportunities and companies with qualified candidates based on skills, experience, and location.
3.
Instant Application and Communication:
Enables direct applications, instant messaging, and in-platform video calls for interviews.
4.
Freelancer and Project Support:
Allows freelancers to advertise services and companies to hire for specific projects.
5.
Job and Internship Map:
Displays nearby opportunities on a map for location-based searches.
6.
Notifications:
Sends alerts for matching opportunities, new messages, and interview invitations.
7.
Rating and Feedback System:
Enables individuals and companies to rate each other after completing work or training.
This platform is not just a job board but a smart recruitment and project system that saves time and effort for individuals and companies through automated matching, freelancer support, and direct communication.