Mémoires de Master 2

Permanent URI for this communityhttps://dspace.univ-boumerdes.dz/handle/123456789/1553

Browse

Search Results

Now showing 1 - 10 of 67
  • Thumbnail Image
    Item
    Darsy : an E-learning Platform Using WebRTC for real-time communication
    (University M’hamed Bougara : Institute of Electrical and Electronic Engineering (IGEE), 2025) Tlemsani, Oussama; Tabti, Mohamed Nourelislam; Benmoussa, Yahia
    This thesis presents the design and development of an integrated e-learning platform that addresses the growing need for accessible, interactive, and real-time educational environ-ments. The objective of the proposed solution is to seamlessly connect students and teachers, regardless of their geographical location, through a unifi ed web-based system. Unlike traditional platforms that rely on external video conferencing tools, this solution embeds real-time communication as a core feature of the learning experience. At the heart of the platform lies WebRTC, a modern technology that enables low-latency, peer-to-peer video and audio communication directly in the browser. WebRTC off ers several built-in features critical to online education, including screen sharing, camera and microphone management, and secure encrypted channels—all without the need for plugins or additional software. These capabilities create a smooth, interactive classroom experience that mimics face-to-face instruction. Beyond communication, the platform supports full course management—from enrollment to content delivery, real-time chat, assignment submission, and grading. The system architecture follows a decoupled monolithic model, ensuring scalability and modularity. React and Vite power the frontend interface, while Django REST and Channels provide backend services, APIs, and real-time WebSocket support. Agora.io further enhances the WebRTC layer with scalable media handling for multi-user sessions. This project demonstrates how tightly integrated real-time communication can transform e-learning into a more dynamic, immersive, and inclusive experience for both students and educators. Keywords: WebRTC, E-learning, Agora.io, Django, React, Redis, Postgress, Tailwind, Locust.
  • Thumbnail Image
    Item
    Design & implementation of an energy management system
    (University M’hamed Bougara : Institute of Electrical and Electronic Engineering (IGEE), 2025) Chebah, Sarah; Kadri, Mohammed Sayah; Bentarzi, Hamid
    This project presents the design, simulation, and implementation of a energy management system (EMS) for micro-grid integrating solar photovoltaic (PV), battery storage, and grid power to ensure a stable and reliable power supply. The system monitors and controls power fl ows based on real-time conditions such as solar generation, battery state of charge (SOC), and load demand. The EMS follows a clear source priority: solar energy is used fi rst, followed by the battery, and fi nally the grid when other sources are insuffi cient. This strategy maximizes the use of renewable energy and minimizes dependence on the grid. Simulation and practical results confi rm that the system operates eff ectively in bothgrid-connected and islanded modes, offering a flexible and scalable solution for modern smart energy needs. The energy management strategy prioritizes the use of renewable sources and enables seamless switching between energy sources to ensure both reliability and efficiency. Simulation and hardware implementation results demonstrate the system’scapability to operate effectively in both grid-connected and islanded modes, providing a scalable and fl exible solution for modern smart energy systems.
  • Thumbnail Image
    Item
    السياسة الطاقوية الروسية و أثرها على الأمن الطاقوي الأوروبي الغاز الروسي نموذجا الفترة 2021-2024
    (جامعة أمحمد بوقرة بومرداس : كلية الحقوق و العلوم السياسية, 2025) سي يوسف، فريدة; عمروش، عبد الوهاب (مشرف)
  • Thumbnail Image
    Item
    مساهمة سلطات الضبط الإقتصادي في حماية المستهلك
    (جامعة أمحمد بوقرة - بومرداس : كلية الحقوق و العلوم السياسية, 2025) شايب، إكرام; غلاي، سهام; لعريبي، حيزية (مشرف)
    يعد موضوع حماية المستهلك من أبرز المواضيع التي تكتسب أهمية كبيرة نظرا لارتباطه بكافة أفراد المجتمع، فالمستهلك يعد الطرف مهم في المعاملات الاقتصادية حيث يشارك يوميا في المعاملات التجارية لتلبية احتياجاته، مما يجعله في كثير من الأحيان عرضة للغش والاحتيال، وبناء على ذلك أنشأ المشرع الجزائري هيئات رقابية أطلق عليها اسم "سلطات الضبط الاقتصادي" أو "الهيئات الإدارية المستقلة" للإشراف ومراقبة القطاعات الاقتصادية المختلفة، وقد تم إنشاء هذه الهيئات كآلية لحماية المستهلك سواء بطريقة مباشرة أو غير مباشرة من خلال فرض ضوابط تنظم عمليات التسيير والرقابة وإرساء التوازنات الضرورية لممارسة الأنشطة الاقتصادية، وذلك ضمن إطار قانوني وتشريعي يهدف إلى توفير أقصى درجات الحماية للمستهلك وتحقيق التوازن في علاقته مع الأطراف الأخرى
  • Thumbnail Image
    Item
    Modeling and simulation of a microgrid using droop control and energy management in Islanded mode
    (University M’hamed Bougara : Institute of Electrical and Electronic Engineering (IGEE), 2025) Bentaleb, Naoufel; Benbachir, Yassine; Kheldoun, Aissa
    This report addresses the modeling, control, and simulation of an islanded microgrid that consists of photovoltaic (PV) systems and a battery energy storage system (BESS). The microgrid operates in islan- ded mode, giving power supply reliability regardless of the main utility grid. Two voltage source inverters (VSIs) interfaced with PV systems are utilized, each being controlled by droop control so as to achieve decentralized power sharing. The third VSI is employed to achieve bi- directional control of the battery system, allowing both charging and discharging based on power imbalance. An energy management sys- tem (EMS) manages the overall operation by evaluating PV genera- tion, load demand, and state of charge (SoC), and then activates the appropriate control logic. The proposed system is modeled and simulated in MATLAB/Simulink. The system is evaluated for various scenarios, including dynamic load change and irradiance change. The results confir mth eeffectivene ssof the droop control for power balance and the EMS for maintaining the battery SoC within the safe ranges of operation. The research high- lights the possibility of applying intelligent control strategies in isolated microgrids for enhancing flexibility ,stability ,an denerg yautonomy.
  • Thumbnail Image
    Item
    Design and implementation of a test bench for PV panels
    (University M’hamed Bougara : Institute of Electrical and Electronic Engineering (IGEE), 2025) Menache, Mohamed Amine; Yousfi, Diae Eddine; Bentarzi, Hamid
    Maximizing the efficiency of photovoltaic (PV) panels is essential for enhancing solar energy harvesting. Key environmental factors—light intensity, temperature, and panel orientation must be precisely monitored and controlled to optimize panel performance. This project presents the design and implementation of a fully automated solar panel test bench using Lab-VIEW, enabling real-time acquisition and analysis of PV system parameters. This test bench system integrates three primary subsystems: a lighting control circuit using dimmable halogen lamps and a lux-to-irradiance conversion module for varying the irradiance; a temperature regulation unit employing 12V DC cooling fans for varying the temperature; and a motorized panel positioning mechanism driven by a Stepper motor open loop controlled, managed through a custom driver for varying the panel orientation. A LabVIEW control system ensures accurate dynamic adjustment of panel tilt for optimal sunlight capture. The hardware is orchestrated by an Arduino Mega, which interfaces with LabVIEW for synchronized control and data processing. This test bench offers a versatile and cost-effective platform for studying photovoltaic behavior under variable and programmable test conditions. It serves as a valuable tool for experimental PV characterization and analysis and controller testing for educational applications aimed at studying and improving the design and deployment of solar energy systems
  • Thumbnail Image
    Item
    Design and implementation of smart automatic voltage regulator for smart microgrid
    (UniversitM’hamed Bougara : Institute of Electrical and Electronic Engineering (IGEE), 2025) Hadjadj, Omar Hocine; Hassaim, Chakib; Bentarzi, Hamid
    This project presents the design and implementation of a Smart Automatic Voltage Regulator (AVR) tailored for modern smart microgrid applications. The proposed system incorporates a high-effi ciency DC-DC boost converter to enable fast and reliable excitation of Emergency Diesel Generators (EDGs) during startup, leveraging the distributed battery energy storage systems available within the microgrid infrastructure. To ensure optimal control under varying operating conditions, a novel control algorithm, referred to as Buff ered Adaptive Step Control (BASC), was developed and validated. The algorithm was fi rst simulated in MATLAB/Simulink, where the AVR system model was subjected to a variety of transient and steady-state scenarios. These simulations confi rmed the controller’s superior performance in voltage regulation, stability, and adaptability compared to traditional approaches. A self-excitation mechanism was also integrated into the AVR design to reduce battery dependency and enhance overall energy effi ciency. Furthermore, the AVR is equipped with a grid-following capability, allowing it to track and synchronize with grid voltage levels dynamically—an essential feature for seamless integration into is-anded or grid-connected microgrid modes. For experimental validation, the BASC-basedcontrol strategy was deployed in real time using the Simulink Arduino Support Packageon an Arduino Mega 2560, interfaced with a 2kVA synchronous generator. A series of lab-oratory tests were conducted to evaluate the system’s performance under real operatingconditions. These included: • Open- and closed-loop regulation tests under varying load profiles ,includin gboth resistive and inductive elements. • Operation in grid-following mode to assess synchronization and voltage tracking capability. • Comparative analysis of the BASC controller versus a conventional PI controller, demonstrating improved dynamic response and voltage regulation with the proposed ap- proach. The successful development of this Smart AVR contributes to enhancing the resilience, flexibility ,an denerg yefficie nc yofdistribu tedgenerat ionass etswit hinsm artmicrogrids. Its adaptive and modular architecture makes it particularly suitable for integration into next-generation energy systems that require decentralized control, autonomous operation, and intelligent coordination.
  • Thumbnail Image
    Item
    Machine learning based approach for system identification ; a cement Bag filter case study
    (University M’hamed Bougara : Institute of Electrical and Electronic Engineering (IGEE), 2025) Benlaharche, Imene; Aziz, Abderazak; Kouadri, Abdelmalek
    Traditional system identificatio nmethod shav elon gbee nfundamenta ltool sfo rmodeling dynamic systems. Rooted in system theory and statistical estimation, these approaches have proven effectiv ei nman yapplications .However, as real-world system sgro wmore complex and data-driven, conventional techniques often struggle, particularly when system dynamics are complex, nonlinear, or time-varying. System identification methods —whether based on structure dmodels or more flexi-ble learning techniques — have proven effective for modeling a wide range of dynamic systems. However, as systems become more complex, nonlinear, or time-varying, these approaches may encounter limitations. As a contribution toward addressing these challenges, this thesis proposes a data-driven modeling approach called Polynomial Kolmogorov–Arnold Networks (PolyKAN). In-spired by the Kolmogorov–Arnold representation the orem, PolyKAN employs polynomial basis functions to approximate nonlinear input–output relationships directly from sensor data, without requiring prior knowledge of the system’s structure. The method is validated through two case studies: a Three Tank pilot plant and a Cement Bag Filter system. Results show that PolyKAN effectively models the nonlinear dynamics of both systems, achieving superior performance compared to conventional methods. Interms of Root Mean Squared Error (RMSE), it reaches values as low as 4.87 × 10-3 and 2.24 × 10-2, and R 2 scores up to 0.9851 and 0.9865, respectively. These results highlight PolyKAN’s potential for accurate and more interpretable system modeling in complex environments.
  • Thumbnail Image
    Item
    البرائة الدوائية و الصحة العمومية
    (جامعة امحمد بوقرة بومرداس : كلية الحقوق و العلوم السياسية, 2025) عقبة، رانيا; ريح، خديجة; باقدي، دوجة (مشرف)
  • Thumbnail Image
    Item
    إثباث الملكية العقارية في الأراضي غير الممسوحة
    (جامعة أمحمد بوقرة بومرداس : كلية الحقوق و العلوم السياسية, 2025) حموش، حميدة; بن فاضل، ليلة; لنقار، بركاهم (مشرف)