https://repositorio.uema.br/jspui/handle/123456789/1906 2026-07-09T03:16:30Z https://repositorio.uema.br/jspui/handle/123456789/6250 Título: Automatização do reconhecimento de células germinativas em imagens histológicas de ovários de peixes: estudo de caso de peixes encontrados no estado do Maranhão Abstact: The state of Maranhão has significant fishing activity, making it essential to monitor the reproductive biology of fish for sustainable management. This work presents an automated approach for recognizing germ cells in histological images of fish ovaries, using digital image processing and supervised learning. The objective is to develop a tool that aids in the efficient analysis of gonads, contributing to knowledge in the field and better management of fishing resources. The methodology uses the Canny edge detection algorithm to segment cells and supervised learning techniques to classify them, overcoming the limitations of traditional manual methods. The results show gains in batch processing speed (50 images/minute) and precision (56% accuracy) with STERapp. The solution aims to increase the precision and reproducibility of analyses, positively impacting fishing sustainability in Maranhão and similar regions 2025-02-17T00:00:00Z https://repositorio.uema.br/jspui/handle/123456789/6249 Título: Sistema Web para delegacias com geração de imagens fotorrealistas baseadas em Inteligência Artificial a partir de relatos textuais Abstact: This work presents the development of a web application designed for police station management, focusing on integrating artificial intelligence (AI) to generate photorealistic images from textual descriptions to enhance criminal investigations. Built on a client-server architecture, the system employs Next.js for the front-end, Flask for the back-end, and the Stable Diffusion model for image generation. The methodology combined applied, exploratory, and experimentais approaches with incremental prototyping to ensure scalability and usability. Requirements analysis identified gaps in virtual police station systems, such as the lack of advanced visual tools, guiding the development of features like creation, management, and finalization of incident reports, secure JWT authentication, and AI integration. System modeling utilized UML, including use case, class, sequence, activity, and deployment diagrams. Integration and functional tests, conducted with tools like Postman and Cypress, validated the application's efficiency and robustness. The results demonstrate that the system meets its objectives, providing an innovative solution that streamlines suspect identification and improves incident reporting efficiency, with potential for future integration with biometric databases and further AI model adaptation 2026-01-01T00:00:00Z https://repositorio.uema.br/jspui/handle/123456789/6248 Título: Sistema escalável de resposta ativa para mitigação de ataques de força bruta em active directory com suricata Abstact: This work addresses the development and analysis of an active response system for mitigating brute-force attacks targeting the Active Directory domain controller service. The growing sophistication of cyber threats demands solutions that not only detect but also neutralize attacks in real time. The methodology employed consisted of building a virtualized lab environment featuring an attacking machine (Kali Linux), a target (Windows Server 2022 with Active Directory), and a defense system (Ubuntu Server) positioned in an in-line network topology to act as an Intrusion Prevention System (IPS). Threat detection was performed by the Suricata security engine, configured with a custom rule to identify anomalous traffic characteristic of the attack via the Service Message Block (SMB) protocol. Mitigation was automated through a Bash script, which, when triggered by Suricata alerts, dynamically blocked the attacker’s Internet Protocol (IP) address in the system firewall. The results validated the prototype’s effectiveness, demonstrating its ability to successfully detect and block the simulated attack, thereby preventing the continuation of malicious activity. It is concluded that the proposed architecture is a viable, scalable, and cost-effective solution for protecting critical infrastructures, establishing a functional framework that can be expanded to mitigate other threats and serve as a robust alternative to high-cost commercial solutions 2025-11-18T00:00:00Z https://repositorio.uema.br/jspui/handle/123456789/6187 Título: Desenvolvimento de aplicação web para rastreamento de aeronaves Abstact: This work presents the development of a web application designed for the monitoring and tracking of aircraft operated by the Tactical Air Center of the Military Police of Maranhão. The solution was built using ReactJS and integrates with a REST API to display real-time information on aircraft position, trajectory and operational data during missions. In addition to tracking, the application provides access to flight history and enables the management of missions, aircraft and users through an intuitive and responsive interface. The tests conducted demonstrated that the tool delivers stable performance, continuous data updates and good adherence to the operational needs of the CTA, highlighting the potential of web development as support for aerial operations. 2026-01-01T00:00:00Z