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Articol A General Overview on the Current State of Computer-aided Translation(Technical University of Cluj-Napoca, 2024-04-28) SZASZ Maria Augusta , OLT Maria-CristinaComputer-aided translation software has been around for decades facilitating the production of accurate and consistent translations in all fields. The two major competitors in computer-assisted translation (Trados and MemoQ) have managed to ease the professionals’ work and help them produce more accurate translations. Machine translation as we know it today either if we use Google or DeepL Translate or even parallel corpora have made a quantum leap in the past years, being usable and useful in everyday context. This paper describes the types and categories of computer-aided translation technologies in use, their applicability, advantages and limitations. It will address the limitations openly and argue that the revision / post-editing process is key to producing quality translations. It will approach the features of the models based on the authors’ concrete examples. The examples contain excerpts from the translations made by the authors into/from English into/from Romanian and Hungarian.Articol A NUMERICAL MODEL FOR I/Q MODULATION/DEMODULATION FOR AN FPGA-ENABLED SDR PLATFORM(Technical University of Cluj-Napoca, 2023-06-21) BOTA Bianca L.M. ; BUTA Rareș ; KIREI Botond S. ; FĂRCAȘ Calin A. ; HINTEA Sorin A.This paper presents a numerical model for I/Q modulation/demodulation implemented in Matlab. This numerical model serves as a starting point for the HDL/FPGA implementation of a baseband processor for a previously developed SDR platform. The numerical model verification is carried out by performing 4, 8, 64, and 256-point QAM transmission over an additive White Gaussian Noise Channel and by comparing numerical and theoretical bit error rates. A partial HDL implementation of the baseband processor is given: the baseband processor generates a 1MHz tone signal that is mixed by the RF fronted, generating a double sideband modulated signal.Articol AI in Language Learning and Teaching through the Magnifying Glass(Technical University of Cluj-Napoca, 2024-04-28) CODREANU FlorinaThe present scene of AI development is more than ever polarized by two fundamental sides: pessimistic and gloomy on the one hand, though hopeful and enthusiastic on the other hand. ELT practitioners and professionals tend to favour the latter attitude and bring the current situation to their own advantage. In the recent years AI in language teaching and learning has conquered a few areas that before seemed reserved to teachers only. The impact is considered huge and the benefits undeniable. AI progress through the magnifying glass shows the researcher many opportunities and innovations, but also plenty of risks and even more limitations. The fore article follows, both narratively and critically, the dazzling encounter between AI tools and the ample field of teaching and learning foreign languages, especially English language. The meeting is not novel at all, nor the worrisome questions arisen along. However, a closer approach may cast some fresh light on this contradictory, still evolving matter of AI technology behind the process of teaching and learning.Articol AN ANALYSIS OF THE PERFORMANCE OF DIFFERENT DPSK MODULATION DATA FORMATS USING CROSS-POLARIZATION MODULATION BASED 80 Gb/s ALL-OPTICAL WAVELENGTH CONVERSION IN A SINGLE WIDEBAND SOA(Technical University of Cluj-Napoca, 2024-06-07) SAROJINI R; SIVANANTHA Raja; SELVENDRAN SAt key optical network nodes the efficient deployment of WDM/DWDM technologies can be made possible by wavelength conversion. In this research, Cross-Polarization Modulation (XpolM) based All-Optical Wavelength Conversion (AOWC) using wide band Semiconductor Optical Amplifier (SOA) is obtained. The effectiveness of various optical differential phase modulations on wavelength conversion is analysed. NRZ-DPSK/DPSK, 33%RZ-DPSK, 50%RZ-DPSK and 67%RZ-DPSK/CSRZ-DPSK are investigated here. The data rate is 80 Gb/s and the conversion bandwidth is 1.04 nm. The analysis is extended for Linear, Lorentzian and No-approximation material gain simulation models. The NRZ-DPSK performs better in terms of maximum coupled intensity and ellipticity. CSRZ-displays a power spectral gain of up to 12 dB and shows narrower spectral width.Articol AUDIO DENOISING USING U-NET ARCHITECTURE(Technical University of Cluj-Napoca, 2025-06-27) JIMON, L.-Daniel; VAIDA Mircea-F.Audio denoising is a pivotal task in audio signal processing. This paper presents a machine learning approach using a U-Net architecture to denoise musical audio signals affected by four distinct noise types: white noise, urban noise, reverberation, and noise cancellation artifacts. The model was evaluated on datasets derived from IRMAS and UrbanSound8K. Objective and subjective evaluation metrics were used, which show the model's effectiveness in filtering white and urban noise. However, performance on reverberation and noise cancellation artifacts is limited, indicating areas for future architectural and methodological improvements.Articol CHATBOT DESIGNED FOR INTERNATIONAL STUDENTS(Technical University of Cluj-Napoca, 2024-05-20) BULZESCU Carla-Mihaela; GRAMA LacrimioaraThe main purpose of this paper is to present a chatbot developed for international students. It provides guidance on a range of challenges, including safety, culture shock, housing, language, and academic notes. For this purpose, a dataset of 72 question-and-answer intents was developed from scratch, designed to assist students. The training phase uses the dataset to create the neural network model. The chatbot makes use of established rules and techniques for natural language processing to predict the appropriate responses to user’s demand. Two Python-based versions of the chatbot are developed: one with a user interface, designed using a Flask server connected to a front-end section, and one with a compiler-based method that can handle speech input and output. Both versions achieved high accuracy during the training phase, suggesting good forecasting for the purpose upon which the chatbot was designed.Articol DDoS ATTACK DETECTION USING SUPERVISED MACHINE LEARNING ALGORITHMS OVER THE CIDDOS2019 DATASET(Technical University of Cluj-Napoca, 2023-06-22) ZINCA Daniel; DOBROTA VirgilDistributed Denial-of-Service (DDoS) attacks are one of the most common types of cyber-attacks that can cause severe damage to networks and systems. Traditional methods to detect them rely on signature-based Intrusion Detection Systems (IDS), which are limited by the need of prior knowledge of specific patterns and by the usual ineffectiveness against zero-day attacks. However machine learning (ML) algorithms have the potential to support the detection of new and unknown attacks. This article compares the DDoS detection performance of three Machine Learning techniques: Gaussian Naïve Bayes, Logistic Regression and Random Forest, based on validation metrics such as precision, recall and F1 score. The system was trained using three datasets extracted from CICDDoS2019 database. The results proved the detection of attacks at Layer 4 (TCP SYN/ UDP flood), and at reflective Layer 7 (MSSQL, NetBIOS). The Random Forests and Logistic Regression methods achieved a precision between 93.7% and 99.4 % over these three datasets.Articol DECISION TREES-BASED ALGORITHM FOR INTELLIGENT ALLOCATION OF PROCESSES IN CLOUD(Technical University of Cluj Napoca, 2025-06-25) DOLCESCU Constantin-Valentin; BOTEZ Robert; ZINCA Daniel; DOBROTA VirgilThe paper presents a decision tree–based scheduler for intelligent cloud process allocation that evaluates features such as source area, instruction count, payload size, priority, throughput, and delay to guide real-time placement decisions. The model was trained and validated on a diverse, scenario-driven synthetic dataset covering four controlled workload conditions plus randomized fallback cases. For the training dataset, the classifier achieved 93% accuracy, while for the validation and test set, an accuracy of 92% was obtained. A Kubernetes-inspired simulation framework further visualizes and confirms the scheduler’s allocation logic under dynamic conditions. These results underscore the approach’s effectiveness, interpretability, and suitability for production-grade cloud orchestration.Articol DESIGN AND IMPLEMENTATION OF A FULL-DUPLEX GROUND STATION FOR THE QO-100 SATELLITE SYSTEM BASED ON SDR AND RASPBERRY PI(Technical University of Cluj-Napoca, 2024) CRIȘAN NicolaeAbstract: This paper proposes an approach based on the Adalm-Pluto SDR and Raspberry PI to design a ground station for geostationary satellite communications. The system is designed from modules to be versatile, agile, and scalable. In this case, the usage of modules is mandatory due to the complexity of the communications system, which simultaneously operates two radio channels at 2.4 GHz for uplink and 10 GHz for downlink. Such a combination with SDR (Software Defined Radio) and classic down and up converters benefits from using a Raspberry PI 4 with a powerful processor running under Linux. The proposed system allows the usage of GNU Radio with its powerful graphical interface written in Python. User interface UI has been undertaken by the Raspberry PI’s most versatile display with a touch screen of 7 inches. Another topic the paper addresses is using the helical antenna in front of the Horn antenna at the same focus point established by the dish reflector. The ground station proposed here has been successfully tested to transmit short radio packages containing data about temperature, atmospheric conditions, and voice.Articol Dezvoltarea competențelor lingvistice și comunicative în româna ca limbă străină (RLS) prin integrarea activităților muzicale (nivel A2)(Technical University of Cluj Napoca, 2026-04-28) HODÂRNĂU IoanaLucrarea de față analizează rolul activităților muzicale în dezvoltarea competențelor lingvistice și comunicative în predarea românei ca limbă străină, la nivel A2. Pornind de la cadre teoretice relevante din domeniul achiziției limbajului, al psihologiei cognitive și al pedagogiei moderne, studiul evidențiază faptul că muzica reprezintă un suport didactic complex, capabil să faciliteze accesul la input comprehensibil, să susțină memorarea prin ritm și repetiție, să reducă anxietatea și să stimuleze participarea activă a cursanților. Sunt valorificate perspective precum teoria inputului comprehensibil, teoria memoriei de lucru, teoria dual-coding, multimodalitatea și principiul scaffolding-ului, pentru a demonstra eficiența integrării cântecului în procesul de învățare. Aplicabilitatea practică este ilustrată prin analiza unei fișe de lucru construite pe baza cântecului 20 de ani al formației Voltaj, organizată pe etapele de preascultare, ascultare și postascultare. Exercițiile propuse urmăresc dezvoltarea receptării auditive, a vocabularului, a pronunției, a competenței discursive și a exprimării personale, într-o manieră progresivă și adaptată nivelului A2.Articol Diversificarea strategiilor și metodelor didactice în predarea limbii române ca limbă străină la Anul Pregătitor(Technical University of Cluj Napoca, 2026-04-28) MĂLUȚAN Cristina AnaPrezentul articol își propune să identifice și să analizeze câteva strategii și metode didactice aplicabile studenților care doresc să studieze limba română la Anul Pregătitor de limba română pentru cetățenii străini, într-o universitate din România. Acest program de învățare a românei ca limbă străină pregătește studenți din toată lumea pe parcursul unui an universitar pentru a se putea înscrie ulterior la o linie de studiu din România, în limba română, nivel licență, master sau doctorat. Necesitatea diversificării metodelor și strategiilor de predare și învățare este imperioasă, având în vedere faptul că studenții străini provin din medii culturale și lingvistice foarte diferite. Adaptarea demersurilor didactice de învățare a unei limbi străine este cu atât mai necesară, cu cât în anul următor studenții se vor regăsi într-o situație autentică de comunicare și învățare – mediul universitar, unde e necesar un nivel minim de cunoaștere a limbii române pentru a putea face față cursurilor la care vor participa. În momentul conceperii demersurilor didactice, profesorul de limba română ca limbă străină trebuie să țină cont de nevoile și movația studenților, dar și de obiecvele, metodele și strategiile necesare predării/învățării limbii române.Articol Élaborer une unité didactique à l’aide de l’IA – bilan d’une quête de solutions viables(Technical University of Cluj Napoca, 2026-04) BULGARU CristianaCet article défend l’idée d’une intégration réfléchie des outils d’intelligence artificielle dans l’enseignement-apprentissage des langues vivantes, ayant comme argument une expérience concrète de création de ressources didactiques pour un cours de FOS, globalement réussie malgré certaines limites. Il présente une unité didactique complète, de niveau B1, focalisée sur l’appareillage électroménager. Deux outils déjà testés avec plus ou moins de succès pour des buts similaires ont été impliqués. D’une part, ChatGPT a offert la structuration de l’unité (texte-support avec des exercices de compréhension écrite, contenus d’apprentissage expliqués et intégrés dans des exercices de fixation / consolidation, activités de production écrite et orale). D’autre part, pour la compréhension orale, un document authentique a été créé à l’aide du générateur de chansons Suno, à partir de vers de Boris Vian en accord avec la thématique abordée, puis complété par des exercices d’exploitation proposés par ChatGPT. Cette expérience a mis en évidence l’importance d’un prompt bien rédigé pour obtenir des résultats pertinents, ainsi que la nécessité d’une analyse critique et d’une adaptation des contenus générés, avant leur utilisation.Articol INTEGRATION OF THE SURICATA INTRUSION DETECTION SYSTEM AND OF THE WAZUH SECURITY INFORMATION AND EVENT MANAGEMENT FOR REAL-TIME DENIAL-OF-SERVICE AND DATA TAMPERING DETECTION AND ALERTING(Technical University of Cluj-Napoca, 2024) ANDREICA Gheorghe-Romeo ; IVANCIU Iustin-Alexandru; ZINCA Daniel; DOBROTA VirgilThis paper addresses one of the cybersecurity challenges posed by the rapid growth of IoT and intelligent transport systems. It aims to develop a security monitoring and alerting system for GPS devices in these systems, integrating the Suricata Intrusion Detection System (IDS) mechanism and the Wazuh Security Information and Event Management (SIEM). The solution is focused on detecting, alerting and real-time monitoring for Denial-of-Service (DoS) and Data Tampering attacks, ensuring robust protection against emerging cyber threats in IoT GPS tracking systemsArticol INTRODUCTION TO CYCLIC CODES AND ILLUSTRATION OF THEIR IMPLEMENTATION THROUGH LINEAR FEEDBACK SHIFT REGISTERS WITHIN A PROGRESSIVE WEB APPLICATION(Technical University of Cluj-Napoca, 2024-06-02) SOFIA Ioana LaviniaThis paper provides an introductory overview of cyclic codes of Hamming type and showcases their effectiveness in detecting and correcting errors in digital communications. Thus, a Progressive Web Application has been developed through React.js and p5.js JavaScript libraries to simulate the coding operations using Linear Feedback Shift Registers. This GUI serves an educational purpose, being used in Information Transmission Theory laboratories so that students could easier comprehend this particular coding scheme. The results obtained highlight the efficiency of developed software application in the e-learning process of cyclic code of Hamming type and its adeptness in error detection and correction within digital communications.Articol KUBERNETES CONFIGURATION FILES CREATED WITH A PYTHON QUART WEB INTERFACE FOR REAL LIFE SCENARIOS OF KUBERNETES DEPLOYMENTS(Technical University of Cluj-Napoca, 2024-11-29) DUMITRE Ioan-Alexandru; RUGINA Szabolcs-Gavril; LENGYEL Laszlo-Csongor; RUS Andrei-Bogdan; DOBROTA VirgilThis paper presents the development of a web interface using Python Quart to simplify the creation and management of Kubernetes manifest files. The interface allows users to create, update, delete, and manage Kubernetes resources through an intuitive platform. Developed using Test-Driven Development (TDD) principles, the application minimizes errors and improves reliability by ensuring that each component is rigorously tested before deployment. By leveraging Quart’s asynchronous capabilities, it handles multiple requests efficiently, enhancing scalability and performance. Performance tests with Locust and real-time monitoring with Prometheus show the system's ability to manage multiple users and highlight areas for improvement in request latency.Articol La energía renovable como tema de enseñanza del español para fines específicos (EFE)(Technical University of Cluj Napoca, 2026-04-28) POLICSEK CeciliaLa rápida transición energética impone, en el marco de la enseñanza del español para fines específicos, no solo la necesidad de insistir en un lenguaje especializado técnico, legal y comercial, sino también la de un enfoque interdisciplinario que fomente el espíritu crítico de los estudiantes que estudian ingeniería. El presente material propone una serie de actividades cuyo propósito es esbozar posibles pautas didácticas para clases centradas en el tema de la energía renovable. A través de las actividades descritas, el artículo aboga por la importancia de enseñar la terminología sobre la sostenibilidad, la tecnología de la energía renovable y los marcos regulatorios en estrecha relación a las nociones culturales y el desarrollo del pensamiento crítico.Articol MOBILE APPLICATION FOR BLE INDOOR POSITIONING(Technical University of Cluj-Napoca, 2023-12-12) MĂLUȚAN Raul; BRISC BiancaDistance estimation in indoor localization is mainly solved by Received Signal Strength Indicator (RSSI). In our approach, the RSSI is determined empirically, and it’s used to estimate the distance between the user and beacons in a mobile app solution. Trilateration and Kalman filter help obtain better accuracy. The paper proposes a classical solution for indoor localization, but with features like blueprint implementation, Google Maps integration, and manual beacon positioning.Articol Negative Auswirkungen der Nutzung künstlicher Intelligenz beim Fremdsprachenerwerb in ingenieurwissenschaftlichen Studiengängen(Technical University of Cluj Napoca, 2026-04) NEDELCU Bogdana-Cristina-LauraDieser Artikel analysiert die negativen Auswirkungen der Nutzung künstlicher Intelligenz im Prozess des Fremdsprachenerwerbs im Rahmen ingenieurwissenschaftlicher Studiengänge. Diskutiert werden Risiken wie technologische Abhängigkeit, oberflächliches Lernen, die Verringerung authentischer Interaktion, die Standardisierung der akademischen Sprache, epistemische Fehler sowie ethische Probleme im Zusammenhang mit akademischer Integrität. Die Studie argumentiert für die Notwendigkeit einer kontrollierten Integration von KI-Instrumenten, sodass diese den Bildungsprozess unterstützen, ohne die Entwicklung autonomer sprachlicher Kompetenzen zu ersetzen.Articol Pluses and Minuses in Using Popular Speeches to Improve Students’ Technical Knowledge(Technical University of Cluj Napoca, 2026-04-28) CODREANU Florina CODREANUAfter the writing skill has been unprecedentedly compromised and almost dissipated by AI revolution, in-class speaking activities seem to remain privileged ways of acquiring and building specialised knowledge as they instantly reveal students’ capabilities along with their gaps. Learning happens faster when engineering students become aware of what they know best and what they do not yet know or they have wrongly learnt it. In an attempt to address their technical needs, language teachers create speaking scenarios meant to spark and feed students’ appetite for more authentic technical knowledge. Among these creative attempts, notable speeches by engineers, scientists and high-tech leaders become handy to turn into presentations about public speaking in general and technical data delivery in particular. Thus, sophomore students learn about how successful technical figures communicate and, at the same time, they learn how to better their own communication abilities. The present paper aims to identify the gains and limitations in employing popular speeches to improve students’ technical knowledge. This reflective analysis draws mainly on their oral performance in class and subsequent written feedback.Articol Remarks on the Legitimation Discourse of Text Generation. An Analysis of Writing Teaching Programs(Technical University of Cluj-Napoca, 2024-04-28) POLICSEK CeciliaThe current article compares a number of underlying principles that have legitimized the benefit of reading and writing within the educational framework throughout the course of time with the recent discourse on Artificial Intelligence (AI) text generation. It does so by revising several ideas that have traditionally supported the study of reading and writing and contrasts them with the perceived benefits and threats of AI, as formulated by a number of important university writing programs. This contrastive consideration of the support of reading and writing, on the one hand, and the discourse on text generation, on the other, is meant to contribute to the assessment of the degree to which the notion of text generation-centered education is compatible with education, as defined by Humanistic standards.