Electronique
Permanent URI for this collectionhttps://dspacee.univ-temouchent.edu.dz/handle/123456789/760
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Item Surveillance et contrôle d’un bâtiment intelligent(2025) BOUHADDA, Mohamed; BELHARIR, Omar Azzedine; BENCHERIF, KaddourThe 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.Item Simulation Monte Carlo d’un transistor MESFET à base de ZnO(2025) MANKOURI, Fatna; BERRABAH, BaghdadiThis 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.Item Étude et conception d’un circuit de commande pour un concentrateur d’oxygène(2025) BENAMAR, Cherifa; SIDI YAKOUB, Asma; OMARI, TaharMedical 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.Item 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-DjawadThis 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.Item Conception et Réalisation d’un Système d’Acquisition des Signaux Biomédicaux pour le Diagnostic Précis des Anomalies Cardiaques(2025) DJEBLI, Ghizlane; BENGHENIA, Hadj AbdelkaderThis 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.Item DERMA DOCTOR Développement d'un système intelligent pour le diagnostic des maladies dermiques(2025) Damou, Mohamed Oussama; Belakdar, Ismail; SEKKAL, MansouriaThis 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.Item Evaluation des performances d’un détecteur de pluie a relais a base d’un capteur résistif compatible avec Arduino(2025) Labidine, Yacine; Benahmidane, boucif abdelilleh; CHAIB, AminaItem 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, SamiaElectricity 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.Item Détecteur de flamme et de fumée à base d’Arduino UNO(2025) GARGOUA, Abdel hakim; GARGOUA, Mohamed Amine; AYACHE, ChoukriaThis 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.Item Development and Integration of the Depropanizer Process within the Yokogawa CENTUM VP DCS System(2025) BELKADI, Ismail; ABDELOUAHAD, Abdelillah; BENZINA, AAlgeria 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.Item Modélisation et simulation d’un redresseur triphasé avec régulateur MLI(2025) Moulay, Nabil; GHEZALI, SanaaThis 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.Item Etude de l’isolation dans les grands espaces d’huile(2017) MEGHERBI, WAFAA; BELABBES, ASMA; ZELMAT, SamirOur memory has been made for the calculation principle of electric field in the great distances of oil. The first step of this work to be made it is the model of simulation that établait and calculated by the comsol software 3.5a 2D to compare both cases studies: cas1 (80 mm of diameter) and cas2 (20 mm of diameter) through this change we compare the results of calculations of electric field and the safety margin. Finally we find that the good location (good financial situation) this present in him cas1, what implies a validation of insulation, and to exclude the appearance of a partial discharge.Item SleepGuard : Système portable basé sur l'ECG et le PPG pour la détection de l'apnée du sommeil(2024) BOUKRA, Mohammed; BENGHENIA, Hadj Abdelkader; DEBBAL, MohammedThis thesis presents the development of a portable cardiorespiratory monitoring system combining electrocardiography (ECG) and photoplethysmography (PPG). The objective is to offer a continuous, real-time monitoring solution for vital parameters such as heart rate, QT interval, and pulse transit time (PTT) to improve the detection of cardiac and respiratory disorders. The system uses biomedical sensors and an Arduino Nano microcontroller to provide a complete analysis of cardiac and vascular activity. It includes an IL9341 display for real-time data visualization, with the potential for remote monitoring. The system’s design is modular and cost-effective, making it suitable for both clinical and home use. Tests have demonstrated reliable accuracy across various environments. Looking ahead, the system offers promising prospects for algorithm optimization and miniaturization.Item Etude et réalisation d'un système d'alarme intelligent pour automobile(2023) DERKAOUI, Mohamed SeifEddine; CHERIFI, Mohamed Rafik; BENCHERIF, KaddourThe new requirements imposed on industrial systems in their operation and in the quality of their production, require the use of sensors and Arduino cards with a very elaborate strategy in the control of these installations. The whole difficulty is to have relevant and reliable information that makes it possible to generate an effective corrective action. Currently smart sensors are widely used for the realization of smart car alarm systems so that monitoring is very reliable. The evolution of electronics has produced considerable development in the field of surveillance and electronic security. Indeed, electronics has made it possible to facilitate almost all the tasks that were difficult to accomplish in the past thanks to programmable circuits such as microcontrollers. The microcontroller can been programmed to analyze and produce electrical signals. Classic and smart alarm systems. The design of the electronic circuit based on infrared and ultrasonic sensors via an Arduino Due card to detect the presence of people and objects; the results obtained allow us easily the design and the practical realization.Item Détection automatique et précoce de la maladie de parkinson par un classifieur neuronal(2020) AFFANE, Montaha; KELLOUCHE, abderahmane; M.BENDIMERADLe but de ce travail est d'utiliser l'intelligence artificielle représentée dans les réseaux de neurones artificiels pour la détection automatique et précoce de la maladie de Parkinson qui affecte le cerveau humain, qui est devenue un obstacle à la médecine moderne ces derniers temps. Les résultats obtenus mettent en évidence l’efficacité de notre méthode.Item Un circuit de surveillance de l’éclairage intelligent à base de microcontrôleur 16F84(2020) Bouterfas, habib; Taifour, mokhtar; Benosman, MOURAD MohammedItem Étude de réalisation de système de commande d’une machine cnc(2020) benbekhti, hamza; BENOSMAN, Mohammed MouradItem Présentation d’une méthode technologique pour évaluer la conduite d’un chauffeur(2020) MESSAOUDI, Fouad; SAIAH, Noureddine; BENOSMAN, Mohammed MouradDans l'environnement actuel où tout va très vite, les questions de sécurité routière sont considérées comme la deuxième priorité, par opposition aux déplacements d'un endroit à un autre dans les plus brefs délais. Cela conduit souvent à de possibles accidents. Afin de réduire le nombre d'accidents de la route, il convient de se concentrer sur le comportement au volant. Dans ce travail, nous discuterons de toutes les méthodes modernes et traditionnelles disponibles utilisées pour protéger le conducteur et le véhicule et mentionnerons les avantages et les inconvénients de chacune d'entre elles, puis nous proposerons deux algorithmes qui détectent les événements de conduite à l'aide d'un smartphone puisqu'il est facilement accessible et largement disponible sur le marché. Plus important encore, les algorithmes proposés classifient si ces événements sont agressifs ou non en se basant sur les données brutes de divers capteurs embarqués sur un smartphone.Item Développement d’un système de télésurveillance autonome dédié à un environnement difficile(2020) ZARA, Abou Abakar; BENOSMAN, Mohammed MouradLe développement de ce système de télésurveillance est celui de créer une alternative entre la sécurité, la réception et l’émission d’information permettant d’agir en conséquence, cette attente qui à mené à la conception de ce système qui se résume d’une camera qui visualise et d’un capteur qui capte et alerte en cas d’un constat définis et enfin d’une alarmes à travers lequel des messages son véhiculés, allant aux systèmes informatiques guidant les fonctionnalités nécessaires qui transmettent les informations, tous fonctionnant en parfaite harmonie.Item Analyse spectro-temporelle des signaux Électroencéphalogrammes(EEG)(2020) BENTSAIR, IMENE; RIAZI, NOR EL IMANE; BADIR.B.LEEG est un examen réalisé par un médecin neurologue. C‟est l‟enregistrement de l‟activité électrique cérébrale recueilli sur le scalp. Le tracé obtenu de cet examen permet d‟analyser l‟état du cerveau si c‟est normal ou s‟il souffre de maladies telles que l‟épilepsie. Dans notre travail, nous avons analysé des différents signaux EEG obtenus de la base de données MIT-CHB, puis une analyse détaillée est établie dans le domaine temporel en calculant la moyenne, l‟entropie, l‟écart type, l‟amplitude et l‟énergie. Une analyse dans le domaine spectrale a aussi été appliquée basée sur la transformée de fourrier rapide FFT et la densité spectrale de puissance DSP en utilisant l‟estimateur welche. Cette étude est faite dans un but d‟aide au diagnostic.