Télécommunication
Permanent URI for this collectionhttps://dspacee.univ-temouchent.edu.dz/handle/123456789/767
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Item Conception et réalisation d’une application web pour la gestion des laboratoires de la Faculté des Sciences et Technologies de l’Université d’Aïn Témouchent(2025) MATTALLAH, Amina Manar; SADDEK, Wissame; Hamlili, HiamDigitalization has profoundly transformed how we live, work, and interact in contemporary society. It has revolutionized the way we access information, communicate, and carry out daily tasks. This thesis presents the development of the web application "Lab Organizer", designed to facilitate the management of laboratories at Aïn Témouchent University. The application enables users to reserve rooms and equipment in an organized and efficient manner, improving coordination among different stakeholders. It also includes a complaint management system, allowing users to report any issues or malfunctions with available resources. Lab Organizer stands out with its simple and intuitive user interface, making the reservation and tracking process easier. This work highlights the technical aspects of the application and its role in enhancing resource management and optimizing operations within the university's laboratories.Item Modélisation et Simulation d’un Réseau FTTH Pour une Connectivité Haut Débit en Milieu Urbain(2025) RAHAL, Meriem Wafa; BEN SALAH, Marwane; DEBBAL, MohammedIn the context of growing urban connectivity demands, Fiber To The Home (FTTH) stands out as a key solution to deliver high-speed digital services to households and businesses. This thesis, entitled “Modeling and Simulation of an FTTH Network for High-Speed Connectivity in Urban Areas”, presents a comparative study of two WDM-PON architectures (star and tree topologies). Simulations were carried out using OptiSystem, focusing on three critical parameters : launch power, transmission distance, and bit rate. Performance metrics, including Q-factor, BER, and eye diagram analysis, highlight the superior performance of the star topology, making it more suitable for dense urban environments. This work contributes technical guidelines to optimize the deployment of high-,performance FTTH access networks.Item SmartBuoy : Conception et Réalisation d'une Bouée de Sauvetage Intelligente et Téléguidée pour les Interventions en Milieu Aquatique ‘Aquasaver’(2025) AMANI, Charaf Eddine; BERNOUSSI, Narimane; ROUANE HACENE, Nour Khaoula; MERADI, AbdelhafidThis thesis focuses on the design and development of an innovative rescue device for aquatic environments: an intelligent and remote-controlled lifebuoy. Faced with the increasing number of drowning incidents, particularly during the summer season, and the limitations of traditional rescue methods, it has become essential to develop technological solutions that can enhance the speed and efficiency of rescue operations. This project aims to build a functional and low-cost prototype suited to local needs, incorporating electronic components such as a microcontroller, sensors, motors, and a remote-control interface. The system is designed to quickly locate a drowning person, approach them either autonomously or manually, and keep them afloat until help arrives. This work combines technical, human, and environmental considerations, placing technological innovation at the heart of aquatic safety.Item Étude du phénomène d'interaction sol structure(2025) GHOMARI, NOUR EL HOUDA; MOUSSI, OuahibaThe objectif of this work is to analyze the dynamic behavior of Oued Taht concrete arch dam located in Mascara where a numerical modeling was carried out using the finite element method through ANSYS software to analyze the effect of soil-structure interaction. Two hypotheses were considered: the first assumes a rigid base, while the second accounts for soil flexibility. Modal and transient analyses were performed to evaluate the dynamic response under seismic loads. The results highlighted the importance of incorporating soil structure interaction to achieve a more accurate estimation of the dynamic behaviour and to ensure the safety of arch dams.Item Analyse comparative des performances des systèmes WDM avec compensation de dispersion pour des transmissions longue distance à 8×10 Gbps et 8×20 Gbps en modulation NRZ(2025) BOUBOSSELA, Wafaa; BOUANANI, Nada fatima zohra; Benghenia, Hadj AbdelkaderThis thesis focuses on improving the performance of high-speed optical transmissions in the presence of chromatic dispersion. It begins with a detailed presentation of optical fibers, their types, physical properties, limitations, and applications, as well as the key components of an optical transmission system (transmitters, modulators, amplifiers, receivers, WDM). The second chapter addresses dispersion phenomena and compensation techniques, particularly dispersion compensating fibers (DCF) and fiber Bragg gratings (FBG), emphasizing the different types and working mechanisms of FBGs. The third chapter is based on simulations using OptiSystem, comparing various compensation schemes (pre, post, symmetric) in both single-channel and WDM configurations. Results show that symmetric DCF–FBG compensation offers the best performance (high Q-factor, low BER) even at 20 Gbps over long distances. The study highlights the value of a hybrid approach to overcome the limitations of traditional techniques, paving the way for more reliable and efficient optical transmissions for future networks.Item DoctorMind Plateforme d’assistance Médicale Basé sur l’Intelligence Artificielle pour le Diagnostic et suivi des Patients(2025) Errouane, Zineb; Ziadi, Feryal; Ouis, saoussane; Khelladi, Zineb; Bengana, Rime; Sekkal, Mansouria; Ferouani, Souheyla; Yagoub, RedaCe mémoire s’inscrit dans le cadre du développement d’une plateforme intelligente nommée DoctorMind, conçue pour assister le personnel médical dans le diagnostic précoce, la prévention et le suivi des pathologies à l’aide de l’intelligence artificielle. Le projet vise à démontrer comment les technologies d’apprentissage automatique (machine learning) et d’apprentissage profond (deep learning) peuvent être mises au service de la santé, notamment dans des contextes où les ressources humaines et matérielles sont limitées. DoctorMind est une plateforme intelligente d’aide au diagnostic, intégrant plusieurs modules spécialisés dans l’analyse de signaux biologiques, d’images médicales et de données cliniques. Chaque fonctionnalité repose sur des modèles d’IA adaptés au type de données, entraînés sur des bases publiques reconnues, afin d’assurer des résultats fiables et pertinents. L’objectif central de ce travail est de construire un outil intelligent, accessible et évolutif, capable de renforcer les capacités de dépistage et d’aide au diagnostic dans différents domaines médicaux. Ce mémoire retrace les étapes de conception, d'entraînement, d’évaluation et d’intégration des modèles, tout en mettant l’accent sur la rigueur scientifique et l’adéquation aux besoins cliniques réels. Ce projet s’inscrit dans une vision globale de la santé connectée, où l’intelligence artificielle ne remplace pas le médecin, mais lui apporte un appui fiable, rapide et personnalisé, contribuant ainsi à une médecine plus efficace et centrée sur le patient.Item Modélisation et Simulation de la Propagation dans des Fibres Optiques Multicouches à Cœurs Concentriques avec Cristaux Photoniques : Application à la Réduction de la Diaphonie.(2025) Belkhir, Zine el abidine; Larbi Bounsabia, Sidahmed; MESSAOUDENE, MohammedCe mémoire explore l’idée innovante de l’utilisation de fibres optiques à cœurs concentriques pour le multiplexage par répartition spatiale (SDM), en particulier à travers deux nouvelles architectures : V-Sym et V-Sym-PCF. L’objectif est de surmonter le verrou technologique majeur que constitue la diaphonie dans les fibres à double cœur concentrique (DCC), tout en garantissant une compatibilité avec les technologies existantes. Les fibres optiques classiques atteignent actuellement leurs limites en termes de capacité spectrale et de densité de transmission. Les architectures DCC permettent un SDM à deux canaux, mais souffrent de diaphonie excessive, limitant leur usage. Le concept proposé dans ce mémoire repose sur une augmentation contrôlée de la séparation modale Δn_eff entre les super-modes symétrique et antisymétrique, en modifiant le profil d’indice radial de la fibre. L’objectif principal de ce mémoire est de modéliser, simuler et comparer les performances des deux architectures proposées, V-Sym et V-Sym-PCF, en termes d’isolation inter-cœur. Le mémoire est structuré en trois chapitres. Le premier présente l’état de l’art des techniques de SDM et les limites physiques des fibres DCC. Le deuxième développe le formalisme théorique basé sur la théorie des modes couplés (CMT) et la notion de super-modes. Le troisième chapitre présente les résultats de simulation sous COMSOL Multiphysics, utilisant les modules FEM et les interfaces ewbe et ewfd. Les simulations montrent que l’architecture V-Sym, grâce à un profil d’indice en « V » symétrique, permet d’atteindre une diaphonie inférieure à –44 dB. L’architecture V-Sym-PCF, qui ajoute une barrière photonique de type cristal photonique (PCF), permet un confinement encore plus fort et une meilleure isolation optique. En conclusion, les résultats valident l’efficacité des deux nouvelles architectures pour réduire la diaphonie dans les fibres concentriques. Ce travail apporte une contribution originale à la conception de fibres optiques SDM à très haut débit, avec des applications prometteuses dans les réseaux de nouvelle génération, la photonique intégrée et les systèmes de transmission à très grande capacité.Item Etude et Conception d’une Antenne 5G pour Géolocalisation des voitures(2025) Tennah, Hadj; SOUIKI, SihemThe objective of this work is the design of 5G intelligent antennas intended for the precise geolocation of vehicles. A microstrip patch antenna resonating at 1.575 GHz was modeled and simulated in CST Studio Suite in three configurations. Two architectures were studied: a MIMO configuration composed of 6 elements, and a second structure with 8 elements (4×2), designed for GPS applications. A phase-shift study revealed that the latter configuration was the most efficient, achieving a gain of 8 dBi and a reflection coefficient S11 better than −10 dB. This solution helps overcome the limitations of conventional GPS systems, especially in urban environments, and effectively meets the requirements of 5G networks for intelligent mobility.Item Food promos dz : Conception et Déploiement d'une Application Mobile Intelligente pour la Réduction du Gaspillage Alimentaire à Travers la Vente à Prix Réduit des Produits Périssables(2025) Begoug, Amina; Dr BENOSMAN Mohammed MouradThis thesis focuses on the design and development of an innovative mobile application aimed at reducing food waste through the discounted sale of perishable products. In light of increasing economic losses faced by merchants and the difficulty many citizens have in accessing quality food, it has become essential to offer digital solutions that optimize the management of unsold food items. The project seeks to create a functional and user-friendly prototype, accessible and tailored to local needs. The Food promo dz application allows merchants to publish near-expiry products in real time, and enables consumers to purchase them at reduced prices through an intuitive interface. This work follows an approach that is both social, environmental, and technological, placing digital innovation at the service of responsible consumption and local solidarity. The adopted methodology combines technical considerations (web/mobile development), economic efficiency (waste reduction), and social impact (support for low-income communities).Item RouteGuard: Design and Implementation of an intelligent system for the prevention of automobile accidents in urban areas(2025) BOUIZEM, Mohammed El Mehdi; DR.Meradi Abdelhafid; DR.Benhaddou Amina; Dr. Gherbi Sabah, ChemseddineThis thesis presents RouteGuard, an innovative system designed to improve road safety in urban environments. In light of the increasing number of traffic accidents, especially those involving light vehicles, RouteGuard offers a proactive solution based on the intelligent exchange of information between drivers. The system enables real-time tracking of user movements and issues alerts in case of potential collision risks. It combines an embedded device with a mobile application to deliver a smooth and user-friendly experience for drivers. This work explores the challenges of urban road safety, reviews existing preventive systems and their limitations, and outlines the development of a more responsive and adaptable solution. RouteGuard aims to contribute to the reduction of road accidents by enhancing driver awareness and supporting real-time decision-making.Item Topic: Development of a connected BeeHive(2025) BOUZID DAHO, RANIA HADJAR; LOURMIL, SOUMIA; MILOUD ABID, AHLEM SABRINE; BEMMOUSSAT, ChemseddineThis project introduces an innovative smart beehive system designed to improve bee colony health and assist beekeepers in hive management. The system is built around an ESP32 microcontroller, connected to a DHT11 sensor that monitors internal temperature and humidity. When the temperature exceeds a critical threshold of 35°C, a cooling fan is automatically activated to regulate the internal environment and prevent heat stress on the bees. The system is powered by a power bank, ensuring autonomous operation without dependence on external power sources. Additionally, it features a remote monitoring interface through the Blynk mobile application, allowing the beekeeper to track and control hive conditions in real-time using a Smartphone. This smart solution contributes to better colony welfare, reduces risks related to temperature fluctuations, and boosts honey production. It represents a significant step toward integrating smart technologies into modern beekeeping practices.Item BoviTrax : Conception d’un collier intelligent pour la détection préventive des maladies chez les bovins laitiers.(2025) HADDOU, Kaoutar Roumaisaa.Although dairy farming is essential to the agricultural economy, it is extremely susceptible to a number of health problems that affect both animal welfare and farm profitability. Certain diseases can cause a dramatic decrease in milk output, substantial financial losses, and considerable veterinary costs if they are not identified in a timely manner. This study offers the creation of an embedded system intended to continuously monitor the behavioral and physiological characteristics of dairy calves as a solution to this problem. In order to recognize early symptoms of common cattle diseases and detect aberrant deviations, the system uses biometric sensors that are connected to a central processing unit. Farmers can remotely view the data using a digital interface, and when abnormalities are found, they can automatically receive notifications. The system's applicability for ongoing, non-invasive monitoring is illustrated by the experimental results, which also point out its drawbacks in terms of sensor accuracy, ambient conditions, and energy efficiency.Item Arabic Image Captioning Using Neural Networks(2025) EL HABIB DAHO, Zakaria; HADDOUCHE, Wissal; MEKAMI, HayatImage captioning, which aims to generate natural language descriptions for images, represents a major challenge at the intersection of computer vision and natural language processing. While significant advances have been made for English, Arabic image captioning remains underexplored, largely due to the lack of dedicated datasets and the complexity of the Arabic language. In this thesis, we present an Arabic image captioning model based on an encoder- decoder architecture, combining the VGG16 convolutional neural network for image feature extraction with a Long Short-Term Memory (LSTM) network for sentence generation. To address the lack of Arabic resources, we constructed a new dataset by translating and refining existing English image caption datasets of flickr8K. The proposed model was trained and evaluated on this dataset. By indicating its ability to generate relevant and coherent Arabic captions. These results highlight the potential of deep learning approaches to advance Arabic image captioning and contribute to bridging the resource gap for Arabic in the field of image understanding.Item Identification et Classification d’un signal FM et GSM à l’aide du Machine Learning(2025) MAHI, Wafaa; YAGOUB . R, HeyemThis thesis focuses on the automatic identification and classification of radio frequency signals, specifically FM (Frequency Modulation) and GSM (Global System for Mobile Communications) signals. The goal is to develop an efficient system capable of distinguishing between FM, GSM, and background noise using supervised Machine Learning techniques. To achieve this, signals were captured using an RTL-SDR (Realtek Software Defined Radio), a low-cost yet powerful device capable of receiving a wide range of frequencies from VHF to UHF. The acquisition and processing were conducted through Python scripts in Google Colab. After capturing the signals, several preprocessing steps were applied (filtering, decimation, segmentation) to extract relevant features for training machine learning models. Multiple supervised algorithms were tested. The results show a high classification accuracy, confirming the robustness of the approach. This work demonstrates the potential of combining software-defined radio with artificial intelligence techniques for practical applications such as spectrum monitoring, interference detection, and cognitive radio systems.Item SafeFind: A Bluetooth Low Energy (BLE)-Based Smart tag for Preventing the Loss of Personal Belongings(2025) MEBREK, Samir Oussama; HAMLILI, HeyemThe loss of personal items such as keys, wallets, and important documents is a widespread issue, often resulting in stress, wasted time, and potential security risks. While existing tracking solutions offer post-loss recovery features, they tend to be expensive, depend on internet connectivity, and are frequently limited by proprietary ecosystems. All of these limitations ultimately make them less practical for global use, especially in countries like Algeria. This research presents ‘‘SafeFind’’, a preventative tracking system utilizing Bluetooth Low Energy (BLE) technology to effectively reduce the chances of losing belongings occurring before it happens. The SafeFind tag continuously checks the distance between the user’s phone and an item with the use of a machine learning component, a Random Forest classifier trained on real world data of BLE signal features like RSSI (Received Signal Strength Indicator). And detects patterns that signify a potential item lost situation. The system uses light sleep and deep sleep modes to maximize the battery lifetime of the tag. SafeFind additionally allows for the manual activation of an alarm, safe zone creation and the ability to support multiple devices through a cross-platform mobile app developed with Flutter.Item SafeFind: A Bluetooth Low Energy (BLE)-Based Smart tag for Preventing the Loss of Personal Belongings(2025) MEBREK, Samir Oussama; HAMLILI, HeyemThe loss of personal items such as keys, wallets, and important documents is a widespread issue, often resulting in stress, wasted time, and potential security risks. While existing tracking solutions offer post-loss recovery features, they tend to be expensive, depend on internet connectivity, and are frequently limited by proprietary ecosystems. All of these limitations ultimately make them less practical for global use, especially in countries like Algeria. This research presents ‘‘SafeFind’’, a preventative tracking system utilizing Bluetooth Low Energy (BLE) technology to effectively reduce the chances of losing belongings occurring before it happens. The SafeFind tag continuously checks the distance between the user’s phone and an item with the use of a machine learning component, a Random Forest classifier trained on real world data of BLE signal features like RSSI (Received Signal Strength Indicator). And detects patterns that signify a potential item lost situation. The system uses light sleep and deep sleep modes to maximize the battery lifetime of the tag. SafeFind additionally allows for the manual activation of an alarm, safe zone creation and the ability to support multiple devices through a cross-platform mobile app developed with Flutter.Item RouteGuard: Design and Implementation of an intelligent system for the prevention of automobile accidents in urban areas(2025) BOUIZEM, Mohammed El Mehdi; Meradi, Abdelhafid; Benhaddou, Amina; Gherbi, SabahThis thesis presents RouteGuard, an innovative system designed to improve road safety in urban environments. In light of the increasing number of traffic accidents, especially those involving light vehicles, RouteGuard offers a proactive solution based on the intelligent exchange of information between drivers. The system enables real-time tracking of user movements and issues alerts in case of potential collision risks. It combines an embedded device with a mobile application to deliver a smooth and user-friendly experience for drivers. This work explores the challenges of urban road safety, reviews existing preventive systems and their limitations, and outlines the development of a more responsive and adaptable solution. RouteGuard aims to contribute to the reduction of road accidents by enhancing driver awareness and supporting real-time decision-making.Item BoviTrax : Conception d’un collier intelligent pour la détection préventive des maladies chez les bovins laitiers(2025) HADDOU, Kaoutar Roumaisaa; BEMMOUSSAT, Chems EddineAlthough dairy farming is essential to the agricultural economy, it is extremely susceptible to a number of health problems that affect both animal welfare and farm profitability. Certain diseases can cause a dramatic decrease in milk output, substantial financial losses, and considerable veterinary costs if they are not identified in a timely manner. This study offers the creation of an embedded system intended to continuously monitor the behavioral and physiological characteristics of dairy calves as a solution to this problem. In order to recognize early symptoms of common cattle diseases and detect aberrant deviations, the system uses biometric sensors that are connected to a central processing unit. Farmers can remotely view the data using a digital interface, and when abnormalities are found, they can automatically receive notifications. The system's applicability for ongoing, non-invasive monitoring is illustrated by the experimental results, which also point out its drawbacks in terms of sensor accuracy, ambient conditions, and energy efficiency.Item Mise en œuvre d’une plateforme web pour la gestion de l’institut de Technologie (Interface)(2017) Moulkhaloua, El aldja; Smain, Chahrazed; BENOSMANE, MouradThe main objective of this work is to develop a web platform that serves the management of the institute of technology in an efficient and intelligent way. The site was designed according to the needs of students, teachers and administration. In the first and second chapters of our work, we presented the tools used to design our site (Interface and database).The third chapter is devoted to the presentation of the website.Item (Near field communication) Pour la création d’un logiciel de gestion des clients (CRM) développé pour une entreprise de distribution(2018) FEKHARDJI, Mohamed Rachid; KHATIR, Abou Bekrelseddik; BENOSMAN, MouradDistribution can be defined as a set of operations occurring between the moment the product is manufactured and the moment it is in the possession of the final consumer. The quality of the distribution of a product depends on several parameters; one of the most important parameter is the honesty of the seller in the field. Indeed, one of the biggest problems that a distributor can have is to see his sellers lying about the number of visits a day made in the store to sell a product. Our main work in this memoir is to strengthen the control of visits. Several methods exist to know if a visit really was to perform or not, including the use of GPS data, the reading of bar codes inside stores... However, all these methods have shown their weakness to the ingenuity of the salesmen to circumvent them. Our contribution is to use a new method not used until now to control and confirm a visit. The result is very promising.