Electronique

URI permanent de cette collectionhttps://dspacee.univ-temouchent.edu.dz/handle/123456789/760

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    Performance Comparison Between Two Perovskite Solar Cells Using SCAPS-1D Simulations
    (2026) GHITRI Abdelhamid; BOUZIANE Allaeddine; BENZINA Amina
    This work presents a numerical study of perovskite solar cells based on SCAPS-1D, focusing on the effect of absorber architecture on device performance. Single-layer MAPbI3 and bilayer MAPbI3/MASnI3 configurations are investigated using FTO/WS2/absorber/CuO/Au structures. The influence of absorber thickness, acceptor concentration, defect density, and back-contact work function on the photovoltaic parameters is systematically analyzed. A comparative assessment of the single-layer and bilayer configurations is performed in terms of carrier transport, charge collection, and power conversion efficiency. The results provide a physical understanding of the parameters governing device performance and identify suitable conditions for the optimization of bilayer perovskite solar cells.
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    Etude et Réalisation d’un Thermomètre sans Contact
    (2026) FESSIOU Said Sabeur; EL HADJ ALI Mohammed El Amin; OMARI Tahar
    Temperature measurement plays a central role in many fields, including medicine, industry, the food sector and home automation. Contact-based measurement methods, although well established, show limitations when the target is inaccessible, fragile, moving, or when a risk of contamination must be avoided. This dissertation addresses the study and realization of a non-contact thermometer based on the detection of the infrared radiation emitted by any body whose temperature is above absolute zero. The first chapter reviews the physical fundamentals of thermal radiation (Planck's, StefanBoltzmann's and Wien's laws), the notion of emissivity, and the main types of infrared sensors used in non-contact thermometry. The second chapter details the electronic design of the realized system, built around an MLX90614 infrared thermopile sensor, an Arduino microcontroller in charge of acquisition and processing, and an LCD display combined with an audible and visual alarm triggered when a temperature threshold is exceeded. The third chapter presents the practical realization of the prototype, the experimental protocol that was set up, and the results obtained, compared with those of a reference contact thermometer. The results show that the realized prototype allows fast, non-contact temperature measurement, with a limited average deviation from the reference measurement, while highlighting the influence of emissivity, distance and environment on measurement accuracy.
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    Conception d'un capteur intelligent de recul pour un véhicule
    (2026) BENCHERIF Tarek; MOULFI Mouad; BENCHERIF Kaddour
    The reversing radar, based on a smart sensor and designed to monitor reversing or assist with parking, is a system that allows the driver to estimate the distance between their vehicle and an obstacle during low-speed maneuvers. This project aims to create an automotive reversing radar using an Arduino board and Processing, capable of detecting both stationary and moving objects. The work involves a general study of reversing radar theory, electronic boards, and the Processing programming language, using an Arduino YUN Rev2 board, an ultrasonic sensor, a buzzer, resistors, and LEDs. The electronic circuit design is carried out using Proteus ISIS and ARES software, with the prototype visualized in Fritzing. Following positive simulation results, the project will proceed to practical implementation. At the end of this project, a reversing radar device will be designed and tested on real-world targets.
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    Conception et Réalisation d'un Système de Surveillance Météorologique basé sur l’Internet des Objets (IoT)
    (2026) FRIFRA Aymen; SEFIR Houcine; CHAIB Amina
    This work presents the design and implementation of an Internet of Things (IoT)-based smart weather station. The developed system, built around an Arduino Uno WiFi R3 board and several environmental sensors, enables real-time monitoring of temperature, relative humidity, light intensity, and rainfall. The acquired data are transmitted to the ThingSpeak and Blynk platforms for visualization, storage, and remote monitoring. In addition, an original web interface was developed using HTML/CSS/JavaScript to provide real-time data visualization, persistent data archiving, and automatic metrological validation based on statistical indicators. Experimental tests demonstrated good system stability, a data transmission success rate exceeding 98%, and rapid recovery after power interruptions. The obtained results confirm the technical and economic feasibility of the proposed solution for academic, educational, and local environmental monitoring applications.
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    Etude et Simulation du Fonctionnement d'un Ascenseur
    (2026) AMARA NourElhouda; RIAZI Abdelillah; ZEBENTOUT Abdel Djawad
    This thesis presents the design, programming, and simulation of the automated control of a three-story elevator. The work is based on a real educational bench developed by the Algerian company MICROTECHNOLOGIES LAB, controlled by a Schneider Electric Twido TWDLCDA24DRF compact Programmable Logic Controller (PLC) with 14 digital inputs and 10 relay outputs, programmed using the TwidoSuite V2.0 development environment. After a historical introduction tracing the evolution of lifting systems from Antiquity to contemporary gearless permanent magnet machines, the thesis details the functional architecture of a modern automated elevator (mechanical subsystems, control and command systems, and human-machine interface), the applicable international standards, and the functional safety requirements. The control system is modeled using Ladder logic. Validation is performed by simulation using the integrated Twido Simulator. All observed results conform to the specifications, demonstrating the reliability of the developed program.
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    Dispositif de Surveillance de Température basé sur une carte Arduino UNO
    (2026) BOUZOUINA Boualem; MEHIAOUI Chaimaa; AYACHE Choukria
    This project aims to design and build a digital temperature controller based on an Arduino UNO board. The system measures the local temperature using an LM35 sensor, an LCD display, and alerting components, enabling system monitoring. The device functions as an on/off thermostat: when the measured temperature exceeds a predefined setpoint, a safety mechanism is activated. A relay automatically cuts power to the connected heating element, and a red LED illuminates to indicate the alert status. The project uses the Arduino IDE programming environment and is simulated using Proteus software, allowing for functional validation of the circuit before its hardware implementation.
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    Diagnostic de Défauts des Machines par Analyse Vibratoire
    (2026) MATARI Mohamed El Amine; ABDELKADER Abdelaziz; BENTAIEB Samia
    This work presents an intelligent vibration monitoring system for rotating machinery fault diagnosis. A prototype based on two GY-LSM6DS3 sensors and a Raspberry Pi 4 was developed to acquire vibration signals under normal, imbalance, and misalignment conditions. A database of 180 signals was created and analyzed in both time and frequency domains. KNN, SVM, and DNN models were used for fault classification. A web application named VibraTech Monitor was also developed for real-time monitoring and diagnosis. The results confirm the effectiveness of the proposed system for predictive maintenance.
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    Etude et Développement d’un Système de Détection de la Somnolence chez le Conducteur
    (2026) MILOUD ABID Abir; BAHAOUS Chaimaa Fatima Zahra; BENTAIEB Samia
    This work aims to develop an intelligent system for detecting driver drowsiness while driving, with the goal of enhancing road safety through direct monitoring. This project oers an embedded solution based on computer vision and deep learning techniques. Our methodology is based on a comparative evaluation between two methods: the rst model relied on the MobileNet architecture, which showed a quick response during the training phase but did not achieve the required eectiveness during actual operation. Consequently, the second model was developed using MediaPipe technology, which proved highly accurate in studying facial landmarks during practical operation, making it the optimal choice for this system. The system's eectiveness was veried through practical tests in real driving conditions inside a vehicle, coupled with an audible alert system for immediate warning. The results highlight that relying on MediaPipe technology represents the most ecient and reliable solution, eectively contributing to the development of driver monitoring techniques and the reduction of trac accidents caused by fatigue.
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    Conception et Réalisation d’un Système de Vidéo-Surveillance dans une Maison Intelligente
    (UNIVERSITÉ OF AIN TEMOUCHENT BELHADJ BOUCHAIB, 2023) FACI Ikhlase, Radjaa
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    Surveillance et contrôle d’un bâtiment intelligent
    (2025) BOUHADDA, Mohamed; BELHARIR, Omar Azzedine; BENCHERIF, Kaddour
    The main objective of this academic master's project is the design and implementation of an interactive educational smart home model using the ESP32 board at a low cost. The system operates through three main control modes: voice control via a speech recognition module, automatic control using environmental sensors (motion, light, temperature), and mobile control via a Wi-Fi connected application. The project is structured as an educational experience under the title: "Designing an Educational Smart Home with ESP32", where users interact with the system through tasks that combine electronics, programming, and creativity.
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    Simulation Monte Carlo d’un transistor MESFET à base de ZnO
    (2025) MANKOURI, Fatna; BERRABAH, Baghdadi
    This work aims to numerically simulate the influence of high voltage and high tempera- ture on the I-V current-voltage characteristics of a ZnO-based MESFET transistor using a Monte Carlo simulator. Calculations on bulk ZnO were performed to provide information on the electron drift velocity as a function of the electric field. Results for GaAs and GaN were also presented, but mainly for comparison. Our simulation results show that, thanks to the high drain current density, the ZnO MESFET can expect superior performance in terms of power and high voltages. Clearly, wide-bandgap ZnO exhibits much lower intrinsic carrier concentrations than GaAs at high temperatures. This implies that devices intended for higher temperatures should be fabrica-ted with it. However, the results showed that for temperatures above 300 K, a reduction in drain current was observed and, consequently, a reduced output power. These results show much closer agreement with available literature data.
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    Étude et conception d’un circuit de commande pour un concentrateur d’oxygène
    (2025) BENAMAR, Cherifa; SIDI YAKOUB, Asma; OMARI, Tahar
    Medical oxygen is a vital necessity in many clinical situations, especially for patients suffering from respiratory diseases, as well as in emergency and intensive care units. Due to the logistical limitations of traditional oxygen cylinders, oxygen concentrators have emerged as a more autonomous, continuous, and secure alternative. This thesis fits within this context and focuses on the design and control of a portable oxygen concentrator using PSA (Pressure Swing Adsorption) technology, managed by an Arduino microcontroller. The system incorporates the automatic control of solenoid valves, safety sensor monitoring, and fault detection. The electronic design is simulated and validated using Proteus (ISIS & ARES), and a printed circuit board (PCB) is created to ensure optimal hardware integration. This work is structured into three main chapters:  The first chapter presents the theoretical foundations of oxygen concentrators, discussing their types, the technologies used (such as PSA and VPSA), and their general characteristics.  The second chapter focuses on the functional analysis of the PSA-based portable system, detailing its core components and proposed control architecture.  The third chapter is dedicated to the practical implementation of the system through simulation in Proteus, Arduino programming, and PCB design. The aim of this project is to deliver a compact, autonomous, and reliable solution capable of producing high-purity oxygen with accessible and low-cost resources, ideally suited for rural environments, emergency contexts, and resource-limited settings.
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    Etude du fonctionnement des machines de production du tube PEHD de la société ITP d’Oran
    (2025) BENADDA, Wafaa Kheira; HADJ KADDOUR, Yacine; ZEBENTOUT, Abdel-Djawad
    This thesis focuses on the operational study of machines involved in the production of high- density polyethylene (HDPE) pipes at the ITP factory in Oran. HDPE is widely used in water supply, gas distribution, and sanitation networks due to its mechanical strength, chemical resistance, and long service life. The work is based on field observations and a detailed technical analysis of the production stages: raw material feeding, extrusion, calibration, cooling, marking, pulling, cutting, and quality control. Particular attention is given to the CINCINNATI BETERFELD 75-40 extruder, the core of the process, equipped with sensors, a programmable logic controller (B&R PLC), and the WinCC supervision system. This study highlights the critical role of automation, parameter control, and structured industrial organization to ensure continuous, high-quality, and environmentally compliant production. A Grafcet program was presented to highlight the different stages and transitions of the extruder's operation.
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    Conception et Réalisation d’un Système d’Acquisition des Signaux Biomédicaux pour le Diagnostic Précis des Anomalies Cardiaques
    (2025) DJEBLI, Ghizlane; BENGHENIA, Hadj Abdelkader
    This thesis focuses on the design and implementation of a cardiac monitoring system that combines ECG and PPG signals to measure heart rate and extract key electrophysiological intervals such as RR, QT, and PPT. The system consists of an analog signal conditioning chain and digital processing based on an Arduino Uno board. The goal is to provide a reliable, affordable, and non-invasive solution for real-time cardiac activity monitoring. The report is structured into three chapters: a presentation of the cardiovascular system and signal basics, a study of the hardware and software design, and an analysis of the experimental tests. This project supports the development of simple and accessible health technologies adapted to modern cardiovascular monitoring needs.
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    DERMA DOCTOR Développement d'un système intelligent pour le diagnostic des maladies dermiques
    (2025) Damou, Mohamed Oussama; Belakdar, Ismail; SEKKAL, Mansouria
    This thesis presents the development of an intelligent model for automatic detection of dermatological diseases, particularly skin lesions, using Artificial Intelligence (AI) and Deep Learning techniques. Faced with challenges related to manual diagnosis, including its slowness, high costs, and potential errors, we designed a system based on a MobileNetV2 architecture, which provides a balance between accuracy and speed. Using the HAM10000 dataset, which contains images of seven types of dermatological lesions, the model was trained in two phases: an initial training with frozen layers to extract essential features, followed by fine-tuning to optimize performance. This process resulted in a global accuracy of 82%, demonstrating the effectiveness of the proposed model. The model was then integrated into an interactive web application deployed via TensorFlow.js, allowing users to submit images of lesions directly through a browser to receive instant predictions. This work marks a significant step toward an automated and accessible solution for the early detection of dermatological diseases, with potential improvements through future clinical validation and the integration of advanced features.
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    Système de Gestion Énergétique Intelligent par l’Intégration de Panneaux Solaires pour une Consommation Optimisée et Durable
    (2025) KAMLI, Mounir Tewfik; DJELLOUL BENCHERIF, Amira Ahlem; BENTAIEB, Samia
    Electricity consumption management is of crucial importance both environmentally and economically, especially in the context of the transition to renewable energy sources. In this regard, this work presents a comprehensive study on the use of artificial intelligence, and more specifically deep learning algorithms, to predict solar energy consumption and production based on historical and meteorological data. A neural network architecture has been proposed to estimate, on an hourly basis, both the electricity consumption and the production of a photovoltaic panel. The model was trained on time series data, and its performance was evaluated using metrics such as Mean Absolute Error (MAE), Root Mean Square Error (RMSE), and the coefficient of determination (R2 ). The results obtained confirm the system’s ability to deliver accurate and reliable forecasts. To demonstrate the system’s feasibility and effectiveness in a real-world context, hardware integration was carried out on the embedded platform Raspberry Pi 4 B+. A complete application was developed, allowing visualization of consumption and production curves, recording of results, and simulation of various energy scenarios. This implementation paves the way for the design of an intelligent energy management system capable of making optimal decisions to switch between photovoltaic energy and the power grid based on the predictions. This work was carried out as part of the SWITCH project entitled ’Stabilizing weak grids through machine learning: empowering farmers in end-of-line-communities in North Africa through artificial neural networks’. It is part of the Europe- Africa call for research and innovation on renewable energies, LEAP-RE.
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    Détecteur de flamme et de fumée à base d’Arduino UNO
    (2025) GARGOUA, Abdel hakim; GARGOUA, Mohamed Amine; AYACHE, Choukria
    This project focuses on the design of an intelligent flame and smoke detection system using an Arduino UNO board. It uses a flame sensor and an MQ smoke sensor to detect potential hazards, displays status information on an LCD screen, and automatically activates a water pump when danger is detected. The goal is to enhance fire safety through a simple, effective, and scalable solution that can be integrated into larger home or industrial safety systems.
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    Development and Integration of the Depropanizer Process within the Yokogawa CENTUM VP DCS System
    (2025) BELKADI, Ismail; ABDELOUAHAD, Abdelillah; BENZINA, A
    Algeria is considered one of the leading countries globally in natural gas production, ranking tenth worldwide and first in Africa. The Hassi R’Mel gas field is one of the key pillars of this sector, internationally recognized as one of the largest and most important natural gas reserves in the world. This study focuses on the development of a Distributed Control System (DCS), with a particular emphasis on the automation of the depropanizer unit operated by the national company Sonatrach, using the industrial programming platform YOKOGAWA CENTUM VP. The main objective is to automate the depropanizer unit and to design an interactive graphical interface that enables remote control and monitoring, thereby significantly reducing human intervention. This shift toward automation and remote control contributes to improving operational efficiency by accelerating startup and shutdown procedures, and minimizing human errors, especially in emergency or unexpected situations. It also enhances industrial safety by reducing the need for personnel in hazardous areas and increases system reliability through real-time response to alarms and process variables. Additionally, the system enables continuous monitoring and real-time performance analysis, allowing for fast and accurate decision-making to ensure production continuity and reduce unplanned downtime. The study also includes a detailed description of the Hassi R’Mel MPP3 facility, along with a comprehensive structural and functional analysis of the depropanizer unit.
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    Modélisation et simulation d’un redresseur triphasé avec régulateur MLI
    (2025) Moulay, Nabil; GHEZALI, Sanaa
    This thesis falls within the field of power electronics and focuses on the study, modeling, and simulation of three-phase rectifiers. The main objective is to compare the performance of conventional rectifiers (uncontrolled and controlled) with those using Pulse Width Modulation (PWM). After a theoretical analysis of various topologies, simulations were carried out using MATLAB/Simulink to evaluate the output waveforms, voltage, load current, and Total Harmonic Distortion (THD). The results show that PWM control provides better power quality and more precise regulation compared to classical methods. A comparison with PID control was also conducted, highlighting the advantages of PWM.