TCC - Bacharelado em Ciência da Computação (Sede)

URI permanente para esta coleçãohttps://arandu.ufrpe.br/handle/123456789/415

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Resultados da Pesquisa

Agora exibindo 1 - 4 de 4
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    Comparação entre os motores de jogo Unity, Godot e GameMaker: um estudo de caso
    (2024-03-07) Fittipaldi, Mateus Meneses; Nascimento, Leandro Marques do; http://lattes.cnpq.br/9163931285515006; http://lattes.cnpq.br/8247465357821435
    Electronic games are part of the daily lives of millions of people and represent a market that generates billions of dollars annually. In addition to providing entertainment to players, game development also brings various benefits. To facilitate the creation of these products, game engines emerge as a result of decades of development in the gaming industry. Through them, creating games has never been as easy and accessible as it is today. However, given the wide variety of options available, choosing the most suitable engine for a project requires understanding its functionalities, capabilities, and suitability for the desired type of game. In this context, three of the most popular free game engines - Unity, Godot, and GameMaker - were selected for a detailed analysis of their capabilities and features. The evaluation took place through the development of the game ”Fox vs Plants” in each of the selected engines, and participation in three game jams, where it was possible to develop two more games, thereby increasing the validity of the study. The comparison results reveal that each engine has its strengths and weaknesses: Unity has more resources, Godot is easier to use, and GameMaker is learned more easily.
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    An AMR-based extractive summarization method for cohesive summaries
    (2021) Silva, Pedro Assis Xavier; Lima, Rinaldo José de; Espinasse, Bernard; http://lattes.cnpq.br/7645118086647340; http://lattes.cnpq.br/0509757461700562
    The main goal of automatic text summarization is condensing the original text into a shorter version, preserving the information content and general meaning. The extractive summarization, one of the main approaches for automatic text summarization, consists to select the most relevant sentences of a document, and generate a summary. This paper proposes a new mono-document extractive summarization method using a semantic representation of the sentence of a document expressed in AMR (Abstract Meaning Representation). In this method, AMR semantic representation is used to capture the most important concepts of each sentence (in core semantic terms), and a concept-based Integer Linear Programming (ILP) approach to select the most informative sentences improving both relevance and text cohesion of the summary. Two datasets proposed by DUC (2001 and 2002) were used to evaluate the effectiveness of our method on extrative summarirazion and commparing it with other state-of-the-art summary systems.
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    Uma análise do impacto das linguagens de programação nos custos de execução no AWS Lambda em cenários de cold start e warm start
    (2023-04-24) Andrade Júnior, Edilson Alves de; Medeiros, Robson Wagner Albuquerque de; http://lattes.cnpq.br/3169193612606500; http://lattes.cnpq.br/5131828050788518
    Public cloud computing solutions have gained visibility on the market for offering great advantages over on-premises systems. However, cloud-based management workflows also brings concerns. As well as problems related to information security and lack of skilled professionals, cost management is one of the main challenges faced by users and organizations that migrate or already have their operations on cloud. Cloud providers define variables that directly affect cost behaviors, in addition, factors such as key characteristics of programming languages can also contribute to change those behaviors. This work aimed to understand how programming languages behave in cloud services such as AWS Lambda, so that cost management is carried out more assertively and efficiently, directly contributing to the reduction of costs and financial waste when using this kind of service. The results showed that the characteristics of programming languages significantly interfere in the financial costs of execution, elucidating that the choice of a certain programming language should be considered when cost is a requirement to be met when using AWS Lambda.
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    Verificação de refinamento em diagramas de sequência com estruturas de controle
    (2019) Araújo, Daniel José Freire de; Lima, Lucas Albertins de; http://lattes.cnpq.br/0465071050875729; http://lattes.cnpq.br/5219541109924367
    The UML language offers several types of diagrams for system modeling, among themain behavioral diagrams is the sequence diagram. The sequence diagram can beused to model system use cases simply and visually. However, the UML language asa whole presents informal models that can only be verified by human experience. Thispaper refers to the continuation of a research line that aims to formalize UML sequence diagrams and perform refinement checks between diagrams.Here we propose aninitial version of a tool capable of translating UML sequence diagrams into CSP and perform-ing a refinement check using the FDR4 verifier. The differential point of this work isthe process of formalization of combined fragments that represent control structures insequence diagrams, here we will cover fragments such asoption,alternative, paralleland loop.