Bacharelado em Ciência da Computação (Sede)
URI permanente desta comunidadehttps://arandu.ufrpe.br/handle/123456789/6
Siglas das Coleções:
APP - Artigo Publicado em Periódico
TAE - Trabalho Apresentado em Evento
TCC - Trabalho de Conclusão de Curso
Navegar
4 resultados
Resultados da Pesquisa
Item Um guia para a criação de jogos digitais para aprender inglês(2019) Silva, Yuri do Nascimento Farias da; Falcão, Taciana Pontual da Rocha; Marinho, Marcelo Luiz Monteiro; http://lattes.cnpq.br/3362360567612060; http://lattes.cnpq.br/5706959249737319; http://lattes.cnpq.br/1494750866798901Digital games have gained the spotlight as learning tools, whether they are educational or commercial.In the past decade, language learning has sparkled special interest concerning the benefits it can get from the usage of digital games. In the present study, we searched the literature to map studies that assessed the characteristics of games that could benefit English learning. 32studies were identified and 20characteristics were suggested. These characteristics were then analyzed and consolidated for the proposal of a set of guidelines for the development of digital games for learning English, seeking to foster its qualities as a game and learning tool.Item Gerenciamento de custo e desempenho de composição de serviços(2019) Oliveira, Inês Alves Lima de; Medeiros, Robson Wagner Albuquerque de; http://lattes.cnpq.br/3169193612606500; http://lattes.cnpq.br/8406459471271857Studying and analyzing quality attributes is increasingly important for thosewho are constantly looking for customer satisfaction and a continuous evolution of theproducts and services offered.Cost and Performance are attributes of important qualitiesfor any application and when it comes to web services, or better, the composition ofthese services as well, since, from the planning of the services choices, one can findthe best for the composition, in the case of this work have a low cost and low responsetime (performance).This work aims to propose a way to manage financial cost andperformance through techniques that are used, in the life cycle of the composition, moreprecisely in the planning phase, for this was analyzed the techniques related to themanagement of the composition and adapted a algorithm that calculates financial costand performance. After this calculation, it is possible to know which best service to usein the composition according to the chosen attributes, thus facilitating the managementof attributes in a services compositionItem Análise de desempenho e de disponibilidade do Ambiente Virtual de Aprendizagem na Nuvem Privada Apache CloudStack(2019) Silva, Alison Vinicius Gomes da; Callou, Gustavo Rau de Almeida; http://lattes.cnpq.br/3146558967986940; http://lattes.cnpq.br/8010059314855618Item Avaliação de algoritmos baseados em Deep Learning para Localizar placas veiculares brasileiras em ambientes complexos(2019) Marques, Bruno Henrique Pereira; Macário Filho, Valmir; http://lattes.cnpq.br/4346898674852080; http://lattes.cnpq.br/3847789259699701With the increase in the number of private vehicles, we can observe the increase in the number of violations of traffic laws, theft of vehicles and, thus, a better management and traffic control is necessary. A vehicle and its owner are recognized through the unique and required vehicle license plate (LP), and to be inspected and extracted data with greater efficiency, it is recommended to use automated systems for detecting and recognizing vehicle license plates. This work introduce a study and evaluation of algorithms based on Deep Learning to locate Brazilian LPs in complex environments. For the achievement of the experiments, a bank of images of Brazilian LPs was created based on problems like images with different resolution, quality, lighting and perspective of scene. Were used the Deep Learning algorithms YOLOv2 and YOLOv3, which has not yet been studied to the best of our knowledge. In addition, the Tree-structured Parzen Estimator (TPE) algorithm was used to optimize hyperparameters and maximize the performance of selected convolutional neural networks. For the evaluation, the performance metrics were used: prediction time, Intersection over Union (IoU) and confidence rate. The experiments result demonstrate that YOLOv3 presented better performance, obtaining 99.3% of vehicle license plate detection.