PPGI https://repositorio.ufpb.br/jspui/handle/tede/5439 2026-08-29T15:45:26Z 2026-08-29T15:45:26Z Morais, Rafael Sobral de https://repositorio.ufpb.br/jspui/handle/123456789/38492 2026-07-24T06:10:39Z 2026-01-30T00:00:00Z

Título: Exact and heuristic approaches for single machine scheduling with inventory constraints and sequence-dependent setup times Autor(es): Morais, Rafael Sobral de Orientador: Subramanian, Anand Abstract: This work addresses the single machine scheduling problem with release dates, sequence-dependent setup times, and inventory constraints, 1|rj , sij , inv|Cmax. Four mixed-integer programming formulations are proposed: position-indexed, arc- indexed, arc-inventory-indexed, and arc-time-indexed. Computational experiments were performed, and the results show that the arc-indexed formulation provides the best performance among the models. Building on this formulation, a branch-and-cut algorithm incorporating inventory capacity cuts is developed, along with a branch-cut-and-price algorithm that extends an existing branch-and-price framework for scheduling problems. Among the exact methods, the branch-cut-and-price approach solves the largest number of instances to optimality, while the branch-and-cut method attains the lowest average gaps. Two heuristic methods based on the Iterated Local Search framework are also pro- posed, using ruin-and-recreate and SISRs-inspired perturbation strategies. Both heuristics consistently generate feasible solutions, with the ruin-and-recreate variant achieving particularly competitive performance. Editor: Universidade Federal da Paraíba Tipo: Dissertação

2026-01-30T00:00:00Z Lemos, Diego Oliveira de https://repositorio.ufpb.br/jspui/handle/123456789/38252 2026-06-30T06:11:13Z 2026-02-12T00:00:00Z

Título: Detecção e análise de dark patterns em plataformas de apostas no Brasil Autor(es): Lemos, Diego Oliveira de Orientador: Siebra, Clauirton de Albuquerque Abstract: The rapid expansion of sports betting platforms in Brazil has brought about the prolifera- tion of manipulative design techniques, known as Dark Patterns, which can compromise user autonomy and decision-making. This dissertation proposes a hybrid methodology for the identification and analysis of these practices, integrating Natural Language Processing (NLP) techniques and structural interface inspection. The methodological path involved the investigation of 22 platforms operating in the national market during the period in which the research was conducted. For textual analysis, the BERTimbau model — a Transformer-based architecture fine-tuned for Brazilian Portuguese — was used, achieving a weighted average F1-Score of 0.82 in the classification of categories such as Urgency and Social Proof. Concurrently, the inspection of style sheets (CSS) revealed more than 8,000 occurrences of the opacity:0 property, signaling the presence of potentially hidden or obstructive interface elements. The results show that platforms adapt traditional e-commerce tactics to the betting context, exploring cognitive vulnerabilities through temporal pressure and programmed technical barriers. It is concluded that the sophisti- cation of these strategies, although detectable by automated methods, demands specific regulation regarding interface design in the sector, aiming for consumer protection and the preservation of mental health in the face of predatory business models. Editor: Universidade Federal da Paraíba Tipo: Dissertação

2026-02-12T00:00:00Z Nunes, Alexandre Magno da Silva https://repositorio.ufpb.br/jspui/handle/123456789/38240 2026-06-27T06:13:20Z 2022-08-31T00:00:00Z

Título: Diagnóstico em tempo real de falhas em drones através das análises de sinais de vibração baseadas no caos usando densidade e amplitude de máximos Autor(es): Nunes, Alexandre Magno da Silva Orientador: Brito, Alisson Vasconcelos de Abstract: The Unmanned Aerial Vehicle (UAV) has become popular over the years in various ac- tivities, whether commercial or recreational. However, drones still do not have complete confidence when it comes to safety. Therefore, there is a need to create fault identification techniques that fit the limitations found. This work aims to detect and diagnose drone failu- res in real time and proposes an architecture to identify mechanical failures. The approach proposed in the work uses chaos-based signal analysis techniques using maximum density (SAC-DM) and maximum amplitude (SAC-AM). To achieve the results, data were captured from a quadcopter drone and applied classification techniques and algorithms. With SAC- DM, performances of 91% were achieved and with SAC-AM 100%. It was also possible to validate the system by diagnosing faults in real time. Editor: Universidade Federal da Paraíba Tipo: Dissertação

2022-08-31T00:00:00Z Soares Filho, José Leoberto https://repositorio.ufpb.br/jspui/handle/123456789/37836 2026-03-09T06:03:58Z 2023-08-31T00:00:00Z

Título: Videoconferência Acessível para Deficientes Auditivos com Avatar de Libras Automático Autor(es): Soares Filho, José Leoberto Orientador: Souza Filho, Guido Lemos de Abstract: Given the increased use of synchronous conferences in the daily activities of the Brazilian population, various adversities have arisen or been exacerbated through this new but already established means of communication. The lack of accessibility for individuals with some form of hearing impairment is one of the most notable challenges, because this portion of society, according to the census conducted by the Brazilian Institute of Geography and Statistics (IBGE) in the year 2010, represented approximately 9.7 million people at that time. There are several laws that ensure access to information for deaf individuals, however, professionals qualified for Portuguese to Brazilian Sign Language (Libras) translation are still a scarce group. With this in mind, this work proposes the incorporation of a Libras Avatar for translating spoken Portuguese language into sign language, while also adding the functionality of automatic captions within the Video For Health (V4H) tool. The results obtained from the proposed experiments showed that the understanding of deaf individuals in videoconferences significantly improved when using the developed tool compared to the platforms available on the internet. Editor: Universidade Federal da Paraíba Tipo: Dissertação

2023-08-31T00:00:00Z