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
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7 resultados
Resultados da Pesquisa
Item Escrita colaborativa no ensino da computação: o uso da Wikiversidade como estratégia de aprendizagem(2022-10-07) Souza Júnior, Givanildo Alfeu de; Araújo, Carlos Julian Menezes; http://lattes.cnpq.br/3156174527107999; http://lattes.cnpq.br/4907081036880936With all the technological advances and all their modernity, some educational institutions are still using essentially the same teaching and learning strategies to try to engage students in the learning process. We know that this is not about ignoring our existing teaching structures and means, but rather that we can insert and adapt different ways of learning, in a flexible and knowledge-sharing way. In educational contexts, working with the Wikiversity platform enables the collaborative production of educational resources among teachers and students, disseminating knowledge and research in an accessible and free way. The goal of the work was to investigate that, by using collaborative writing on Wikiversity, it is possible to make information available generating open educational resources, as well as to use this activity as a tool for teaching and learning. In view of this, we decided to report on an experience with a group of students in the Distance Education curricular unit in the Undergraduate and Bachelor courses in Computer Science at the Federal Rural University of Pernambuco. The meetings took place remotely due to the Covid-19 pandemic, where we set goals. During these, there was interaction with the platform’s tools, discussions of the contributions the group hoped to make, and elaboration of collaborative writing on Wikiversity.At the end of the course it was possible to notice that Wikiversity can be used as a teaching tool with a differential through collaborative writing. We concluded this phase of action research by reflecting on the issues involved and the processes that triggered it.Item Aligning expectations about the adoption of learning analytics in a brazilian higher education institution(2021-03-01) Garcia, Samantha Millena Costa; Falcão, Taciana Pontual da Rocha; http://lattes.cnpq.br/5706959249737319; http://lattes.cnpq.br/7221410090403436Learning Analytics (LA) consists of using educational data to inform teaching strategies and management decisions, aiming to improve students’ learning. The successful implementation of LA in Higher Education Institutions (HEI) involves technical aspects and infrastructure and, but also, and very importantly, stakeholders’ acceptance. The SHEILA framework proposes instruments for diagnosis of HEI for LA adoption, including stakeholders’ views. In this paper, we present the results of the application of SHEILA’s surveys adapted to the Brazilian context, to identify the most and least important aspects in the views of students and instructors, and compare their ideal and realistic expectations about the adoption of LA. Results confirm the high interest in using LA for improving the learning experience, but with ideal expectations higher than realistic expectations, and point out key challenges and opportunities for Latin American researchers to join efforts towards building solid evidence that can inform educational policymakers and managers, and support the development of strategies for LA services in the region.Item Estudo de viabilidade de sistemas de detecção de armamentos em tempo real em linhas de ônibus urbanos(2021-12-09) Lima Junior, Cícero Pereira de; Silva, Douglas Véras e; http://lattes.cnpq.br/2969243668455081; http://lattes.cnpq.br/9901763283774954Surveillance systems are fundamental on preventing armed robberys on public busses. However, to be operated in real-time theses systems demand an unrealistic amount of people. The usage of computer vision and deep learning technics raises as a way to automate parts or even the whole surveillance process, from the weapons detection to the alarm triggering. For this process to be accomplished efficiently, allowing authorities to take more effective actions, the system needs to be able to handle a growing security cameras demand. Thus, this work analyses a bus line weapon detection system viabillity. Through simulation, this work evaluated the perfomance of YOLO algorithm, in its fourth version, on a client-server model under a growing security camera demand. The server is composed of a Tesla V80 GPU with a 12GB memory, Intel Xeon dual core processor, 61GB RAM memory and 200GB disk space. Finally, from the gathered results, its observable that the application presents a detection time increase after having introduced 16 virtual users (cameras), also the average response time cannot be considered as real-time, on bus security context.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.