ANNU Digital Library

Photo by @inspiredimages

Communities in DSpace

Select a community to browse its collections.

Now showing 1 - 2 of 2

Recent Submissions

Performance comparison of VRF and chiller HVAC systems
(Dr. Ramiz Abdallah, 2026-09-08) Saed Shawahna; Mohammad Al-Rubu'
Project Summary This project presents a comparative study between two HVAC systems, namely the Variable Refrigerant Flow (VRF) system and the Air-to-Water Chiller system, for Sabat Wedding Hall in the West Bank. The main objective of the study is to determine the most suitable air-conditioning system based on energy consumption, operating cost, initial cost, and technical performance. The study began by analyzing the building characteristics, climatic conditions, occupancy, and cooling requirements. The cooling load was calculated manually and verified using Carrier HAP 6.2. The final cooling load adopted for the design was approximately 22.5 TR. Based on this load, both HVAC systems were designed to provide the same required cooling capacity. The results showed that the VRF system performed better in terms of energy efficiency and cost. The estimated annual energy consumption of the VRF system was 10,982.97 kWh/year, compared with 13,115.7 kWh/year for the Air-to-Water Chiller system. This represents an estimated energy saving of approximately 16.26%. At an electricity price of 0.7 NIS/kWh, the annual operating cost was estimated at 7,688.08 NIS for the VRF system, compared with 9,180.99 NIS for the chiller system, resulting in an annual saving of about 1,492.91 NIS. The initial cost comparison also favored the VRF system. The estimated initial cost was approximately $21,309 for the VRF system, while the Air-to-Water Chiller system required approximately $46,605.4. The higher chiller cost is mainly due to additional components such as pumps, chilled-water piping, FCUs, ductwork, insulation, and other mechanical equipment. Overall, the study concludes that the VRF system is the more suitable HVAC solution for Sabat Wedding Hall. Its ability to adjust cooling capacity according to the actual load makes it particularly appropriate for a wedding hall where occupancy and operating conditions vary significantly. However, the study also recognizes that chiller systems may be more suitable for larger buildings with high and relatively constant cooling demands.
FurniFlow
(Dr. Luai Malhis, 2026-06-15) Yazan Saleh; Amro Jomaa
FurniFlow is a comprehensive multi-channel furniture e-commerce and retail operations platform developed to support online shopping, in-store point-of-sale sales, warehouse fulfillment, last- mile delivery, installment financing, and customer support. The system serves multiple specialized roles—including customers, sellers, warehouse staff, warehouse managers, operations managers, drivers, cashiers, support agents, support managers, and administrators. The first main feature is Order Management, where customers browse a multilingual product catalog, manage cart and wishlist, complete checkout with Stripe payments, track order status through a multi-stage fulfillment pipeline, and view order history. The platform also supports installment purchase requests with identity-document verification and scheduled payments. The second main feature is Catalog and Inventory Management, where administrators and sellers manage products, categories, discounts, and promotions; warehouse staff verify and pack orders; and warehouse managers approve orders for pickup while monitoring stock levels and resolving issues. The third main feature is Delivery and Operations Management, where operations managers assign drivers, drivers accept jobs, upload pickup and delivery proof photos, share live GPS location, and track earnings; while cashiers process in-store POS sales through a dedicated terminal interface. FurniFlow also implements an AI-powered shopping assistant using Google Gemini for conversational product discovery, combined with a hybrid recommendation engine (behavioral events, TF-IDF content similarity, and co-purchase analysis). Support tickets with real-time WebSocket chat, product reviews with sentiment analysis, and role-based access control with JWT authentication further strengthen security and user experience. The platform is built using PostgreSQL with SQLAlchemy for relational data storage, FastAPI for the backend API, React for the web application, and Expo React Native for the mobile app, with trilingual support in English, Arabic, and French.
POPITup
(dr.imad natsheh, 2025-09-15) lama loay mletat; reem salahat
In recent years, there has been a growing demand for automated food machines that combine convenience, efficiency, and hygiene while providing an engaging user experience. Our project, Pop It Up, introduces an innovative popcorn-making machine designed to automate the entire process of producing freshly made popcorn with minimal human intervention. The system integrates multiple stages, including automated cup dispensing, precise oil and seed measurement, controlled heating and mixing, customizable flavor dispensing, and an automatic cleaning stage using an air piston to ensure cleanliness and prepare the pot for the next batch. Each stage is controlled by motors, sensors, and relays, ensuring high accuracy, speed, and safety throughout operation. This machine not only simplifies popcorn preparation but also enhances the user experience by offering different flavors and portion sizes while maintaining hygiene between cycles. With its user-friendly interface and reliable hardware design, Pop It Up provides a modern, efficient, and hygienic solution for snack preparation in cinemas, events, and public spaces. Ultimately, the project demonstrates how automation and mechatronics can transform traditional food-making processes, delivering consistency, convenience, and quality to users.
FINEESE
(DR. RAED QADI & DR. ANAS TOMA, 2026-06-14) LAMA LOAY MLETAT; A SHAKAA
Finesse is a web and mobile-based fitness and wellness platform designed to provide users with a personalized, intelligent, and engaging health management experience. The platform integrates fitness training, nutrition planning, progress tracking, artificial intelligence, and social interaction features into a single comprehensive system aimed at promoting healthier lifestyles and long-term wellness. The system supports multiple user roles, including users, coaches, nutritionists, and administrators, each with dedicated functionalities and management capabilities. Through integrated communication tools, users can connect with fitness professionals for personalized guidance and support throughout their fitness journey. Finesse provides a comprehensive exercise database containing detailed workout information, including targeted muscle groups, difficulty levels, estimated duration, calorie expenditure, and instructional videos. Based on the user's selected goal—weight loss, weight gain, or weight maintenance—the platform recommends suitable workout plans and nutritional programs. Additionally, users can generate personalized workout routines tailored to their goals, fitness levels, and preferences. The nutrition module calculates individual calorie requirements and offers meal recommendations aligned with the user's objectives. Users can track daily calorie consumption, monitor water intake, record body weight and measurements, and visualize their progress over time through detailed tracking features. A key component of the platform is its AI-powered assistant, which provides three primary services. First, it acts as a virtual fitness coach, offering personalized fitness and nutrition guidance and answering user inquiries. Second, it utilizes image analysis capabilities to estimate the calorie content of meals from uploaded food images, helping users make more informed dietary decisions. Third, it generates personalized weekly summaries that analyze user activity, progress, nutrition habits, and fitness achievements over the previous seven days, providing valuable insights and recommendations for improvement. To further enhance engagement and motivation, Finesse incorporates gamification features such as experience points (XP), achievement levels, streak tracking, and personalized motivational insights. The platform also includes a community feature where users can create posts, share experiences, interact with others, and build a supportive fitness environment. In addition, a leaderboard system ranks users according to their accumulated XP points, encouraging healthy competition and sustained participation. By combining fitness management, nutrition guidance, artificial intelligence, social interaction, and motivational tools within a unified platform, Finesse delivers a smart, adaptive, and user-centered solution that empowers individuals to achieve their health and fitness goals effectively and sustainably.
EcoGrow
(Dr.Mahmoud Asaad, 2026-01-27) Haya Hindya; Layan Barq
The smart agricultural robot aims to assist farmers in tilling their land. We designed and implemented this robot to increase agricultural production, improve crop quality, reduce human intervention, and lower operational costs. Our project integrates electronic and mechanical technologies with programming to automatically control tilling, planting, and irrigation processes. The robot tills the soil using a track mounted at its rear and plants seeds in a systematic manner, promoting plant growth. Additionally the robot measures soil moisture using humidity sensors and automatically activates water pumps when the moisture level falls below the required threshold. This helps maintain optimal conditions for crop growth and prevents drought. One of the most important components of the agricultural robot is a local web server, which allows us to control the robot's movement (forward, backward, right, left). The server also controls the plow's raising and lowering, as well as the water pump, which can be operated automatically (based on the humidity sensor) or manually. Furthermore, the server allows us to control the planting of seeds by opening and closing the servo.