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Communities in DSpace

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Recent Submissions

PopMatic
(Dr. Loai Malhis, 2025-10-07) Yazan Saleh; Anwar Baker
The rising demand for automated snack preparation machines has motivated the development of Popmatic, an automated popcorn production line designed to prepare flavored popcorn cups with minimal human intervention. The system integrates an Arduino Mega microcontroller to control the entire workflow, including corn dispensing, oil pumping, spice distribution, mixing, heating, and automated serving through a conveyor mechanism. The machine provides three operation modes accessible via a keypad: Mode 1 (corn with salt and paprika), Mode 2 (corn with salt), and Mode 3 (corn with salt & double paprika). Each mode follows a predefined sequence that begins with preparing the cooking pot, dispensing the ingredients, and activating the heater and mixing motor. During this process, a DVD-drive mechanism pushes a cup onto a conveyor belt, which stops at the correct position using an IR sensor. After cooking, a stepper motor tilts the pot to pour the popcorn into the cup, which is then transported to the output by the conveyor. To enhance usability, an LCD display is included to show the stages of operation in real-time, such as “Dispensing Corn,” “Adding Oil,” “Heating,” “Pouring,” and “Serving.” This feature improves user interaction by providing clear feedback on system status. Additional components include ultrasonic sensors to monitor corn levels, a fan for ventilation, and relays for safe heater control. The system demonstrates how embedded systems, mechatronics, and automation can be combined to design a compact, low-cost, and efficient food production prototype
KIRA MANAGEMENT SYSTEM
(Dr.Abdallah Rashed, 2026-02-05) Anwar Mustafa Baker; Nimer Ziad Assad
Kira is a management system designed for IT companies, controlling tasks and projects. It also provides a chat system for employees and trainers, allowing them to upload their files. One of its key features is an AI system that filters the resumes of trainers and job applicants based on their skills and years of experience and the other main feature is an AI assistant provided with system internally to help to users, and the user able to filter the emails depending anny thing he want like topic or title or time or whatever he want beacuse the system can be connected to the email of the user and he can arrange his emaila as he like, there are four user roles : Admin, HR, User, Trainer. and ther other platform of the kira project is personal platform which designed to help the user to manage his daily task and its open for all people to use it and manage theirtime effeictively. Kira is built using MongoDB, REST Express Nodejs Framework for the backend, React Framework for web and Expo React Native for mobile app.
LASER- ASSISTED BIOMASS-BASED ACTIVATED CARBON: PREPARATION AND APPLICATIONS
(An-Najah National University, 2026-04-15) Jabr, Ahmad Saifeddein Ameen
This study evaluated the use of Laser-Treated Activated Carbon derived from waste biomass, namely, date stones in the fields of energy storage and wastewater treatment. For these purposes, electrochemical double-layer capacitor (EDLC) assembly and Methylene Blue contaminated water were used. In this work, biochar was prepared from waste date stones through thermal carbonization process under nitrogen purge. It was chemically activated using Zinc Chloride (ZnCl2) and Potassium Hydroxide (KOH) with 1:2 impregnation weight ratio separately. Prepared powder was then laser-treated using pulsed Nd-YAG laser at its fundamental frequency (1064 nm). All laser-treated samples outperformed non-treated ones in porosity measurements especially specific surface area, micro and meso-porosities. They also showed improved surface chemistry in the form of newly developed oxygen containing functional groups. SEM micrographs revealed that laser-treated samples showed higher surface roughness coinciding with X-ray diffractograms which showed lower crystallinity ratios. For energy storage, laser-treated ZnCl2 activated carbon electrodes outperformed non-treated ones in different electrochemical tests. They showed 80% enhancement in specific capacitance, 21% reduction in equivalent series resistance, longer charging-discharging time and enhanced capacitance retention over 10000 cycles. For wastewater treatment, laser-treated KOH-activated carbon outperformed non-treated counterparts in methylene blue (MB) adsorption following Langmuir, Freundlich and Temkin isotherms. It also showed improved kinetics following pseudo 2nd order (PSO) model. Specifically, laser-treated samples showed about 350%, 398%, 369% and 406% enhancements in qmax, PSO kinetics, heterogeneity and initial adsorption rate respectively. Both testing regimes emphasize the efficacy of implanting pulsed laser energy as a single step post treatment method for tailoring the characteristics of chemically activated carbon.
اليمين المتطرف في إيطاليا وفرنسا والسويد: أنماط الصعود وتداعياته على الديمقراطية الغربية (2008-2025)
(جامعة النجاح الوطنية, 2026-04-22) طارق زياد عليان دراغمه
تتناول هذه الرسالة ظاهرة صعود قوى اليمين واليمين المتطرف في أوروبا بوصفها من أبرز التحولات السياسية التي شهدتها الديمقراطيات الغربية خلال العقدين الأخيرين، وتركّز على تفسير انتقال الاحتجاج الشعبي الناتج عن الأزمات الاقتصادية والاجتماعية نحو تيارات قومية وشعبوية بدلًا من الاتجاهات اليسارية التقليدية. كما تبحث الدراسة فيما إذا كان هذا الصعود يمثل موجة سياسية مؤقتة أم تحولًا بنيويًا طويل الأمد يعيد تشكيل المشهد السياسي الأوروبي. اعتمدت الدراسة مقاربة تحليلية مقارنة جمعت بين المنهج الوصفي التحليلي، والمنهج المقارن، وتتبع الحالة، من خلال تحليل ثلاث حالات أوروبية تمثل نماذج ديمقراطية متباينة هي: إيطاليا، وفرنسا، والسويد، ضمن إطار زمني يمتد من عام 2008 حتى عام 2025. واستند التحليل إلى إطار نظري متعدد المستويات بهدف تقديم تفسير يتجاوز القراءات الاقتصادية أو الثقافية الأحادية للظاهرة. وتوصلت الدراسة إلى أن صعود اليمين واليمين المتطرف لا يمكن فهمه باعتباره حدثًا انتخابيًا عابرًا، بل يرتبط بتحولات بنيوية عميقة شملت تراجع دولة الرفاه، وأزمة التمثيل الحزبي، وتنامي الخطابات المرتبطة بالهوية والسيادة والهجرة. كما أظهرت الدراسة أن هذه القوى لم تعد تقتصر على موقع الاحتجاج السياسي، بل أصبحت فاعلًا مؤثرًا في إعادة صياغة مفاهيم الدولة والمواطنة والديمقراطية من داخل النظام الديمقراطي نفسه. وتخلص الرسالة إلى أن الديمقراطية الأوروبية تشهد مرحلة إعادة تشكل داخلية تتخذ مسارات وطنية مختلفة، لكنها تعكس في مجملها تحولًا تدريجيًا نحو أنماط سياسية أكثر قومية وشعبوية، الأمر الذي يثير تساؤلات متزايدة حول مستقبل الديمقراطية الليبرالية في أوروبا.
WHEN AI MEETS HOSPITILITY: UNDERSTANDING CONSUMER INTENTION TOWARDS SMART RESTURANTS SERVICE
(جامعة النجاح الوطنية, 2026-03-16) رنا عزت السيد احمد
Artificial Intelligence (AI) is fundamentally transforming how restaurants engage with consumers, moving beyond traditional way of serving to create immersive and interactive experiences. Using AI in restaurants increase the engagement of consumers during their dining experience. Customers become engaged actors instead of viewers who watch thanks to such innovation, which changes the client's experience between identification to engagement. This thesis uses a complementary research approach to bridge the gap between academic theory and real-world application: 1. A quantitative study employing Structural Equation Modelling (Smart PLS 4) to assess how AI features influence consumer behaviour in real-world contexts. In addition to identifying important research gaps, this article offers businesses practical ways for addressing AI's past, present, and future effects on restaurants. Key Insights from the study: How AI Drives Consumer Behaviour A quantitative survey of 281 Palestinian consumers tested 6 hypotheses using Smart PLS 4, examining how distinct AI features influence consumer behaviour. In recent years, the corporate community has made it abundantly evident how important artificial intelligence (AI) is. By the end of the primary quarters underlying the millennium, artificial intelligence, meaning the capacity using technology to perform functions that involve our actions including reasoning, is still revolutionizing sectors, companies, authorities, medicine, in addition academia (Martin et al.,2024). The research has main objective. The study focuses on examining how some key variables would affect the intention to adopt Artificial Intelligence and technologies in Restaurants. In order to do this, an experimental study was created, were participants saw a video before answering a survey. We gathered and used Structural Equation Modelling (SEM) to analyse 281 valid replies. The results expose that there are some variables show a significant impact on consumer intentions towards the adoption of AI in restaurants. The findings show that there are relationships between food quality, service quality, information sharing of restaurants, hedonic motivation, facilitating conditions and intention. On the other hand, trust does not affect consumers’ intention to adopt AI. By expanding our knowledge of how AI influences user behaviour and aids in the creation of providing strategies in evolving social business environments, this research provides significant insights for both academic theory and corporate practice.