https://repositorio.ufba.br/handle/ri/34127 2026-05-14T10:12:05Z https://repositorio.ufba.br/handle/ri/43778 Título: Alocação otimizada de voluntários em cenários de crises integrada ao sistema Contask. Autor(es): Carmona, Victor Rafael Martinez Primeiro Orientador: Santos, Vaninha Vieira dos Abstract: This work addresses the challenge of volunteer allocation in crisis scenarios, such as natural disasters, which demand agile, efficient, and adaptable management systems. To tackle this problem, a task allocation engine was developed and integrated into Contask, a prototype system designed for context-aware task distribution. The allocation engine is based on Integer Linear Programming (ILP), combined with heuristics, with the goal of optimizing the distribution of microtasks in an efficient and context-sensitive manner. The proposal considers multiple criteria including availability, skills, location, and task priority drawing inspiration from existing microtasking models. The choice of combining ILP with heuristics was grounded in a systematic literature review, along with a comparative analysis and an evaluation of the model’s applicability to the proposed scenario. This process revealed that alternative approaches present practical limitations related to solution stability and computational cost, especially in emergency contexts where rapid and robust responses are required. The requirements elicitation was conducted through an exploratory study with 15 participants, including experienced volunteers and managers of social initiatives, using questionnaires and thematic analysis to identify key challenges and expected functionalities. Based on these requirements, Contask was redesigned with the implementation of the allocation engine, resulting in an updated prototype of the solution. This prototype was initially evaluated through usability tests and a focus group with six managers, including members of the Mãos que Ajudam project. Subsequently, controlled simulations representing critical situations were performed to further assess system performance. The results indicate strong acceptance of the tool and a preference for automatic allocation, suggesting potential practical applicability and meaningful contributions to intelligent volunteer management in emergency situations. Editora / Evento / Instituição: Universidade Federal da Bahia Tipo: Trabalho de Conclusão de Curso 2025-12-18T00:00:00Z https://repositorio.ufba.br/handle/ri/39915 Título: Helping Parents: um guia de apoio para pais e responsáveis na proteção de crianças e adolescentes no ambiente digital. Autor(es): Ramos, Wesley Jean de Jesus Primeiro Orientador: Santos, Vaninha Vieira dos Abstract: With technological advances, children are having access to electronic devices at an increasingly earlier age, causing exposure to various risks to their physical and mental integrity. It is known that there are a number of useful tools and resources for parental control on the internet, but the information is not widely disseminated and is scattered. Helping Parents is a support guide aimed at parents and guardians of children and adolescents, aiming to facilitate decision-making related to monitoring their children’s activities in the digital environment. The guide materializes in two artifacts: a website and an ebook. The objective is to gather information relevant to parental control, delivering informative and practical content so that parents have access, and from this, they can decide whether a certain control could be useful for the safety and education of their children. Based on the evaluation results, Helping Parents proved useful in helping parents protect their children online. Editora / Evento / Instituição: Universidade Federal da Bahia Tipo: Trabalho de Conclusão de Curso 2023-12-20T00:00:00Z https://repositorio.ufba.br/handle/ri/39860 Título: Análise qualitativa dos fatores que impactam a motivação dos estudantes de computação da UFBA na realização do TCC. Autor(es): Silva, Monira de Jesus Primeiro Orientador: Santos, Vaninha Vieira dos Abstract: Producing the course completion work is a very important stage of academic training, but it can become a major obstacle for the student and even make completing the course unfeasible. In the Information Systems and Computer Science courses at UFBA, a significant number of students spend a considerable amount of time producing the TCC, which results in failure, dropout and longer stay on the course. This work proposed a qualitative analysis that aims to identify factors that directly impact students' performance and motivation during the TCC. To this end, enrollment data was collected and analyzed, in addition to a focus group session and the use of a questionnaire. Editora / Evento / Instituição: Universidade Federal da Bahia Tipo: Trabalho de Conclusão de Curso 2023-07-01T00:00:00Z https://repositorio.ufba.br/handle/ri/38728 Título: Meta-heurísticas hibridizadas com variações de busca local aplicadas ao problema do caixeiro viajante com coleta de prêmios. Autor(es): Carmo, Matheus Carvalho do Primeiro Orientador: Fernandes, Islame Felipe da Costa Abstract: The Prize-Collecting Traveling Salesman Problem (PCTSP) is a variant of the traditional Traveling Salesman Problem (TSP). In PCTSP, the salesman traverses a Hamiltonian cycle within a subset of vertices and collects a prize at each visited vertex. The objective is to minimize the sum of the traveled distance and penalties associated with unvisited vertices, subject to collecting a minimum amount of prizes. PCTSP belongs to the NP-hard class and finds applications in both theoretical and practical scenarios, such as the production of steel sheets and strips. In recent years, research has demonstrated the potential of hybrid metaheuristics in finding high-quality solutions for NP-hard problems. Such techniques combine and exploit the best features of individual metaheuristics. The aim of this research is to develop hybrid metaheuristics for PCTSP. The focus is on hybridizing variations of local search with genetic algorithms and GRASP. Eight hybrid algorithms were developed, considering four local search variations: 2-opt, VNS, VND, and a combination of VNS-VND. The results obtained reveal significant insights into the performance and characteristics of hybrid metaheuristics, with particular emphasis on the memetic algorithm with VNS-VND, whose analysis suggests potential benefits in terms of solution quality and execution time. Editora / Evento / Instituição: Universidade Federal da Bahia Tipo: Trabalho de Conclusão de Curso 2023-11-29T00:00:00Z