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Tétel Korlátozottan hozzáférhető Investigating the Performance of Honey Badger Algorithm for Multi-Hop Routing Wireless Sensor NetworkKhelifi, Wajih; Gál, Zoltán; DE--Informatikai KarBy 2030, internet-connected devices are projected to exceed 30 billion, increasing the demand for efficient and sustainable Wireless Sensor Networks (WSNs). Traditional algorithms often struggle with the NP-hard optimization problems introduced by complex systems, leading to interest in nature-inspired swarm algorithms. This study explores the use of the Honey Badger Algorithm (HBA), introduced in 2020, for optimizing multi-hop routing in WSNs using Matlab 2023b. HBA selects clusters, elects cluster-heads, and designates second-layer cluster-heads to enhance data transmission. Across 12 simulated scenarios in three different area sizes, WSNs with and without HBA were compared using metrics such as network lifespan, residual energy, and packet delivery ratio. Results show that while HBA underperforms in small areas, it significantly boosts performance in larger networks, extending coverage up to 24% compared to just 1% without it.Tétel Korlátozottan hozzáférhető HTTPProxy Inclusion for Contour Ingress Controller MicroserviceHmida, Salim; Gál, Zoltán; DE--Informatikai KarCloud-native applications require efficient HTTP routing for scalable, resilient, and secure service management, especially within Kubernetes environments. Contour, an Envoy-based ingress controller, offers HTTPProxy as a more powerful alternative to traditional Kubernetes Ingress, supporting complex and modular routing scenarios. This paper focuses on the HTTPProxy Inclusion feature, which introduces reusable, hierarchical routing configurations, allowing teams to manage service-specific logic independently within a shared infrastructure. By decentralizing routing logic, HTTPProxy Inclusion enhances scalability, maintainability, and system performance under high traffic. The approach promotes team autonomy while simplifying complex ingress configurations. The study evaluates this feature’s effectiveness and proposes patterns for validating modular ingress solutions in distributed microservice architectures.Tétel Korlátozottan hozzáférhető Routing Technics in Wireless Sensor NetworkThaku, Morongwa Joyce; Gál, Zoltán; DE--Informatikai KarEnergy consumption has been a critical challenge for wireless sensor network, which has led to the development of routing protocols that aim to identify the optimal path which minimizes the use of energy on sensor nodes. My research evaluates the performance of three routing protocols, LEACH, SEP, and ZSEP using MATLAB simulation software. I analyze and contrast their energy efficiency and cluster formation dynamics under different levels of network heterogeneity and probabilities of selecting cluster heads. I aim to identify the routing protocol that effectively lowers energy consumption while providing a thorough insight into WSNs. LEACH, SEP, and ZSEP are assessed on essential performance metrics which include packets sent to the base station, average energy consumption, active node count, packet delivery costs, number of clusters and system entropy.Tétel Korlátozottan hozzáférhető Application Development for Local Crops Business - AgrTrackWaseem, Muhammad; Adamkó, Attila Tamás; DE--Informatikai KarAgrTrack is a web-based POS software application designed to manage account details for small to medium-sized businesses. The primary user of the application is the administrator, who is responsible for assigning or creating roles for other organizational entities such as employees, farmers, customers, or suppliers. The software is intended to record daily business transactions, including sales and purchases of crops, perform product quantity calculations, and store the data in a database. The purpose of building this software is to provide a platform for small to medium-sized crop shops or companies to enhance the productivity of their businesses.Tétel Korlátozottan hozzáférhető A Web-Based Car-Pooling Solution for Sustainable TravelHean, Chhinling; Youabd, Abderrahman; Tóth, Róbert; DE--Informatikai KarThe thesis introduces a web-based carpooling platform that uses innovative technology to make ride-sharing easier and more practical for everyday travel. It focuses on solving real-life transportation problems by offering a cheap and eco-friendly option for commuters, university students, and working people between the ages of 18 and 45. The platform comes with handy features like a chatbot that helps find available trips, live maps to track the driver's location in real-time, a smart system that recommends fair prices, convenient and secure payment, and a simple setup for passengers to leave their reviews. The design tries hard to keep everything clear and easy to use, even for those who are not familiar with technology. The project also shows how to put together solid and flexible systems while working as a team. All in all, the thesis puts forward a straightforward and helpful idea to make shared travel better.Tétel Korlátozottan hozzáférhető myBudgetPalShiham, Mohamed Nabhan; Tóth, Róbert; DE--Informatikai KarmyBudgetPal is a concept formulated through the personal need to have a more efficient way of tracking personal finances. The conventional means of maintaining a firm understanding of personal finances were unintuitive and complicated to maintain, therefore, the simpler model of logging one's expenses and keeping receipts in specific locations was designed and implemented through the myBudgetPal application. Additionally, the process of saving up for something or splitting bills were two aspects of financial management that could also be largely improved. Therefore, features such as 'Collaborate' and 'UOM' were implemented to help further improve the quality of life of users of the application. The application aims to improve the overall financial literacy of its users and allow people to take control of their finances in a meaningful way.Tétel Korlátozottan hozzáférhető Improving Security Measures for User Satisfaction: An Analysis of Usable SecurityEl Masri, Julia; Pintér-Huszti, Andrea; DE--Informatikai KarThe present thesis examines literature on usable security and various authentication methods, highlighting the importance of prioritizing usability in authentication design. Recognizing that users often perceive security as an obstacle to achieving their goals, this research emphasizes the integration of usability and security as complementary features rather than conflicting tradeoffs. This study explores the implementation of Double-Patterns (D-Patts) by J. Forman et al, an approach that requires users to create two patterns instead of one for enhanced security. Findings indicate that users frequently select symmetric patterns, prompting the introduction of background images to encourage the creation of asymmetric patterns. Further recommendations include implementing blocklists for commonly used patterns and adjusting the position of the grid on the screen to improve security and usability.Tétel Korlátozottan hozzáférhető Decentralized Governance in DAOs: A Study of Decision-Making and Access Management ProcessesDymov, Aleksandr; Pintér-Huszti, Andrea; DE--Informatikai KarThis paper explores governance related processes within decentralized autonomous organizations. Firstly, the concepts of blockchain and tokenization are explored to set the basis for further study. Decentralized autonomous organizations are then introduced, definition, key principles are introduced. The underlying technologies, such as smart contracts, tokenization, and layered architecture are explored. Furthermore, the voting process in decentralized environment is described with different types of consensus mechanisms defined. After setting up the environment for development of a local instance of a DAO, it is shown how smart contracts, deployment and executing scripts are created. The results of the set up voting process are provided, the opportunities and challenges related to decentralized governance are explored.Tétel Korlátozottan hozzáférhető Generative Adversarial Networks for Synthetic Cell ImagingHammoud, Haidar; Al-Hamadani, Mokhaled Noori Abd Allah; DE--Informatikai KarGenerative Adversarial Networks for Synthetic Cell Imaging discusses the topic of Generative Adversarial Networks (GAN) used for cell image generation. The thesis proposes a solution for the need of cell image data for medical research. With the use of a Deep Convolutional GAN (DCGAN) trained on a dataset of yeast cell images, I build a GAN model capable of producing synthetic data of cell images under a microscope. GANs use Deep Learning (DL) approaches and Convolutional Neural Networks (CNNs) to generate images of cells. The thesis is for my studies in Computer Science BSc, at the University of Debrecen.Tétel Korlátozottan hozzáférhető Path Following for a Car-Like Robot: Comparison of Control Techniques using Vision-Based NavigationSarabia Morales, Byron Fabricio; Sütő, József; DE--Informatikai KarSelf-driving cars integrate various technologies such as automatic control, computer vision, and more. These vehicles are a result of advanced developments in computer science, pattern recognition, and intelligent control systems. Vehicle localization relative to road lanes is essential for integrating autonomous vehicles into daily traffic. Vision-based lane line detection is a widely used method to solve this challenge. This work introduces a geometric approach to calculating the steering wheel angle based on lane detection and the implementation of an autonomous system. The robotic platform used is the Donkey Car with the NVIDIA Jetson Nano as an onboard computer. A camera, which is attached to the board, is placed in front of the car, providing frames to be processed. To focus on its kinematics, the car's speed is kept constant at a low value. Two techniques are tested before sending the signal to the Driver PCA9685, which manages the servo motor that controls the steering of the car. First, a weighted average filter is applied to smooth out the calculated steering angle. The second approach introduces a novel modification of the original scheme by applying a PID controller to achieve the same function as the filter while improving the car's response. An innovative geometric calculation for the robot’s position on the path is developed and applied for performance comparison. The performance index, Mean Squared Error (MSE), is used to compare the control techniques applied in this work. The track used in this study is a closed-loop oval. The car demonstrated solid performance, successfully staying on the path without deviating under fixed speed and lighting conditions. Both techniques enabled the robot to repeatedly complete the track. When comparing the results, the weighted average filter yielded an MSE index of 233.78. A reduction in MSE index was observed with the PID controller, dropping to 126.38, indicating better performance than the filter.Tétel Korlátozottan hozzáférhető Development of a Government-Compliant Cross-Border Payment Prototype for Bangladesh: Enhancing Economic Access for Students, SMEs, and FreelancersFaiaz, Md Azmayeen; Major, Sándor Roland; DE--Informatikai KarThis thesis proposes the development and demonstration of a government-approved cross-border payment application to solve the financial problems of Bangladeshi students abroad, small enterprises, and freelancers. While it is now possible to transfer money abroad from Bangladesh, the process is encumbered with manual processes, high documentation, and delays, resulting in user inconvenience. The prototype of the proposed application will be demonstrated to carry out a streamlined, regulation-compliant method of processing out-bound financial payments with digital means, in alignment with the vision of Digital Bangladesh. Such a demonstration reflects the economic benefits, including enhanced facilitation of remittances, external market access for business by the small and medium enterprises, and competition for the freelancers. Overall, the project is an attempt at examining the role of technology in strengthening financial inclusion and making Bangladesh more integrated into the world economy.Tétel Korlátozottan hozzáférhető Medical Image Processing with Deep LearningKoichumanova, Milana; Hajdu, András; DE--Informatikai KarThis thesis explores the application of deep learning, specifically Convolutional Neural Networks (CNNs), for medical image processing, focusing on chest X-ray classification using the NIH Chest X-ray dataset. The study employs a DenseNet121 architecture, pre-trained on ImageNet, to classify 14 thoracic pathologies. Results indicate that the model struggles with class imbalance and achieves only moderate performance, with AUC scores ranging from 0.50 to 0.62. Training for 5 epochs prioritized sensitivity, while 11 epochs improved specificity but at the cost of recall. The findings highlight challenges in accurately diagnosing rare conditions and underscore the need for techniques like advanced augmentation or ensemble methods to enhance performance.Tétel Korlátozottan hozzáférhető Healthcare Expenditure: A Comprehensive Examination of Contributing FactorsLoukil, Ahmed; Tóth, János; DE--Informatikai KarThis thesis explores the factors that impact healthcare spending, such as economic conditions, demographic shifts, the structure of healthcare systems, and behavioral influences. It features a theoretical overview and a practical analysis using Power BI to uncover patterns and relationships within the data. The main areas of focus include how income levels, age distribution of the population, insurance coverage, and public health initiatives affect healthcare costs. Additionally, the study looks at how psychological and lifestyle factors can lead to increased spending. The findings emphasize the importance of preventive measures, targeted investments in public health, and well-informed policy decisions to tackle the rising costs of healthcare.Tétel Korlátozottan hozzáférhető Quantum CryptographyAshraf, Zubair; Hannusch, Carolin; DE--Informatikai KarQuantum cryptography leverages principles from quantum mechanics to advance secure data transmission, posing significant improvements over classical cryptographic systems. As quantum computing evolves, traditional cryptographic methods reliant on complex mathematical operations, such as prime factorization and discrete logarithms, face increased vulnerability to quantum-based attacks. Quantum Key Distribution (QKD) has emerged as a vital quantum cryptographic method, allowing secure key exchanges resistant to eavesdropping and cyber threats. This study systematically reviews the role of numerical methods in enhancing quantum cryptographic protocols, particularly regarding efficiency, scalability, and security. These methods, including Monte Carlo techniques, density matrices, and quantum state tomography, play critical roles in simulating quantum states and error correction, which are crucial for QKD's reliability. Furthermore, the study examines number-theoretic functions fundamental to quantum security systems and investigates how large-scale numerical computations impact the scalability of these protocols. Findings suggest that while quantum cryptography offers unbreakable security potentials, challenges in real-world implementation persist, primarily due to computational demands and environmental noise. Future work focuses on optimizing quantum cryptographic protocols to overcome these challenges and fully harness the potential of quantum-secured networks.Tétel Korlátozottan hozzáférhető Streamlining Stock Market Analytics: Automated Data Analysis and Visualization MethodsElnemr, Salma Ibrahim Mohamed Ibrahim; Zichar, Marianna; DE--Informatikai KarThe increasing complexity of financial markets has amplified the need for accessible, data-driven tools that assist investors—particularly retail participants—in understanding stock behavior and making informed decisions. This thesis explores the automation of data analysis and visualization techniques for stock market interpretation, with a focus on improving usability for non-expert investors. The study adopts an exploratory-descriptive research design, developing a Python-based system that automates data retrieval, preprocessing, and chart generation using libraries such as yfinance, pandas, matplotlib, and dash. Key technical indicators—such as moving averages, cumulative returns, trading volume, and the Relative Strength Index (RSI)—are derived and visualized through both static plots and an interactive dashboard built using dash. This dashboard enables dynamic filtering, comparative stock analysis, and real-time data exploration via a web-based interface. The system prioritizes user accessibility, providing a modular, scalable framework that simplifies financial data analysis without requiring programming expertise. Future enhancements include live trading integration, tailored investment views, portfolio simulation, and support for multiple markets and asset classes. Overall, this research contributes to the democratization of stock market analysis by combining automation, visualization, and user-centered design.Tétel Korlátozottan hozzáférhető Modern CryptographyOgbonna, Divine Chisom; Hannusch, Carolin; DE--Informatikai KarIn recent times, cybercrime has been on the rise which has exposed vulnerabilities in the system’s security, especially in Nigerian banking institutions, raising concerns about the effectiveness of the financial technology infrastructure. The thesis covers the evolution of online banking in Nigeria, deep analysis of modern cryptographic algorithms like AES, RSA, OTP, JWT. It suggests the use of a multi-layered approach, integrating JWT with AES for authentication and encryption of tokens, Bcrypt for password encoding and TOTP for additional security. It also discusses the future of banking security by proposing artificial intelligence, blockchain and post-quantum cryptography. It contributes to the ongoing research, provides actionable insights on strengthening financial security protocols in Nigerian banks.Tétel Korlátozottan hozzáférhető Empowering Inclusivity: Real-time Sign Language ProcessingDakhli, Wiem; Fazekas, Attila; DE--Informatikai KarTrue inclusivity means ensuring every voice, spoken or signed, is heard; this thesis empowers the deaf and hard-of-hearing by translating ASL into digital language. It presents a machine-learning system that recognizes static gestures (the ASL alphabet, 100 images each) via a Random Forest classifier and dynamic gestures (“hello,” etc., 30 videos each) via an LSTM network architecture. MediaPipe and OpenCV extract key hand and body landmarks to feed both models, achieving robust real-time recognition performance across both static and dynamic ASL.Tétel Korlátozottan hozzáférhető Knapsack problem - An illustrative exampleBogdan, Anastasia; Rácz, Anett; DE--Informatikai KarIn large amusement parks like Europa Park, it is difficult for visitors to accurately plan their time while considering all restrictions. Visitors may face the challenge of choosing attractions that balance fun with safety and practicality, taking into account factors such as age, height, pregnancy restrictions, and accessibility for people with disabilities. With so many options available, optimizing the experience for each unique visitor becomes a significant task. The goal of this thesis is to apply the Knapsack problem to optimize amusement park visits by selecting the most enjoyable attractions within limited time or budget. This approach is important as it enhances decision-making in real-life situations where constraints exist.Tétel Korlátozottan hozzáférhető Cost-effective route planning in local areas public transportChen, Haoquan; Kádek, Tamás; DE--Informatikai KarThis thesis develops a public transport route planning app using AI algorithms. It helps users find not only the fastest but also the most cost-effective routes. The system is based on Taiyuan’s public transport network. It uses a multi-objective optimization method. The goal is to balance time and cost for better travel decisions. The app aims to support Taiyuan citizens in their daily commutes.Tétel Korlátozottan hozzáférhető The impact of IMF Loans and their conditions on the macroeconomic indicators of PakistanSagar, Sagar; Tömöri, Gergő; DE--Informatikai KarIn this thesis, I analyzed the impact of IMF loans and their conditions on the economy of Pakistan by using the IMF database, World bank published papers, and some other reliable study papers that completely match with my study. My study thoroughly looked at the influence of these financings by examining major macroeconomic indicators of Pakistan, including GDP growth rate, Inflation rate, exchange rate, total external debt, current account balance, and poverty rate. Moreover, how IMF policies have contributed to Pakistan's economic prosperity since its first engagement. It investigates several imposed conditions and showcases their effect, which has been a source of relief for a short while. However, in the long run it has been adversely impacted and hindered the growth. the paper also adds some arguments and discussions about the IMF's own inappropriate policies and approaches for improving developing countries that have found not suitable. In addition, Pakistan's own system has also not been favorable to implementing such harsh conditions.