TCC - Bacharelado em Ciência da Computação (Sede)
URI permanente para esta coleçãohttps://arandu.ufrpe.br/handle/123456789/415
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Item Redes ópticas de acesso: uma análise comparativa entre EPON e SuperPON(2024-12-12) Silva, Marcos Antonio da; Araújo, Danilo Ricardo Barbosa de; http://lattes.cnpq.br/2708354422178489The demand for high transmission rates for Internet services has been increasing over time, resulting in a large flow of data. This project focuses on access networks, which provide quality intemet services to homes and small business. Optical fiber offers high transmission rates, both for upstream and downstream, capable of transporting several Gbps, depending on the network architecture and equipment used, such as the OLT (Optical Line Terminal). Passive optical networks are access networks that use interconnected optical fibers in a star topology and point-to-multipoint configuration, consisting only of passive optical components between the Optical Line Terminal (OLT) and the Optical Network Unit (ONU). As a technological evolution strategy, they can be used to leverage the installed base of copper cables and coaxial cables in the access network, serving as feeder cables for technologies such as Digital Subscriber Line (DSL), cable modem, and Local Multipoint Distribution System (LMDS), and, in the future, to provide optical fiber to user premises. This project aims to show the difference between EPON and SuperPON technologies, both of which are passive network technologies, and to verify the cost-effectiveness of both. In this work, we explore the particularities of both technologies, considering the size of the network. We observe that EPON (Ethernet Passive Optical Network) stands out for its significantly lower cost compared to SuperPON when expanding the network to smaller areas. This is due to the lower need for expenses with CO (Central Office) and equipment. On the other hand, SuperPON presents a cost advantage when expanding to larger areas, as it requires less CO. Therefore, it becomes a more advantageous option compared to EPON in such network expansion scenarios. Another comparison we will address is the number of ONUs (Optical Network Unit) that we can obtain compared to EPON and SuperPON. In EPON, one fiber can support up to 64 ONUs in a network with a 1:8 splitter, resulting in 8 CTOs (Optical Termination Boxes). In a network with a 1:16 splitter, we can have 4 CTOs. On the other hand, in the SuperPON network, we can accommodate up to 1024 ONUS on a single fiber with a 1:8 splitter, resulting in 128 CTOs. With a 1:16 splitter, we can have 64 CTOs.Item Uso de técnicas de detecção de comunidades para análise de redes ópticas(2021-12-09) Barros, Jonas Freire de Alcântara Marques de; Araújo, Danilo Ricardo Barbosa de; http://lattes.cnpq.br/2708354422178489; http://lattes.cnpq.br/6917406943428049The growth in the use of services on the Internet has promoted a increasing demand for high transmission rates. This demand have been met by optical networks. At the design stage of these networks, the engineer must be able to assess the performance of a given network before its actual physical implementation. In this design process, several topologies are considered. The comparison between topologies is made through metrics that indicate a certain aspect of the network. Typically the metrics considered are performance indicators, such as Throughput, Blocking Probability, Resilience and also other indicators, such as the network Cost. Performance indicators are important because they inform about the quality of a particular topology. Therefore, performance metrics are essential for the design projects of such networks. The most reliable way to calculate the values of these performance indicators is through simulations. However, simulations have a high computational cost, increasing the time needed to obtain information about topologies; since, in these projects, a very large number of different topologies must be considered. On the other hand, a large number of researches in the most diverse domains of knowledge have been carried out on the theme of community detection in graphs. However, there are no applications of these techniques in high capacity fiber-optic networks. Thus, the present work aims to investigate the existence of a correlation between the ability of a fiber-optic network to form communities and its performance indicators. More specifically, it’s Blocking Probability and indicators of Resilience. The analysis was performed comparing the Blocking Probability and Resilience of these networks and the clustering metrics using scatter plots. According to the results, there is a positive correlation between the community metrics and the network performance indicators, and comparatively a speedup of approximately 4,500 times was obtained between the community metrics and the simulations.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 Aprendizagem de máquina quântica e comitê quântico de classificadores(2019-12-02) Araujo, Ismael Cesar da Silva; Nascimento, André Câmara Alves do; Silva, Adenilton José da; http://lattes.cnpq.br/0314035098884256; http://lattes.cnpq.br/0622594061462533; http://lattes.cnpq.br/7125338940009959Quantum machine learning is a subarea of quantum computing that studies, among other things, the creation of equivalent classical classifiers. An ensemble of classifiers is a classification model in which the output is a combined result of the outputs of the classifiers contained in it. With the premiss that when using a sufficiently large ensemble with average classifiers, a good performance can still be obtained. This work investigates the differences in the performance of a quantum equivalent of an ensemble of classifiers, using trained and untrained classifiers. Where the simulation was mane, which the performance was measured through the calculation of the amplitude probabilities of the system. And the machine learning models of the ensemble were executed over benchmark datasets made available by scikitlearn library.Item Aplicação de métodos ágeis em desenvolvimento global de software(2021-07-22) Alves, Annelyelthon Ferreira; Marinho, Marcelo Luiz Monteiro; http://lattes.cnpq.br/3362360567612060; http://lattes.cnpq.br/8410367808658970Global Software Development (GSD) continues to grow and is rapidly becoming a standard, fundamentally different from local Software Engineering development. Withal, agile software development (ASD) has become an appealing choice for companies attempting to improve their performance although its methods were originally designed for small and individual teams. The current literature does not provide a cohesive picture of how the agile practices are taken into account in the distributed nature of software development: how to do it, who, and what works in practice. This study aims to highlight how ASD practices are applied in the context of GSD in order to develop a set of techniques that can be relevant in both research and practice. To answer the research question, ”how are agile practices adopted in agile global software development teams?” We conducted a systematic literature review and a survey with practitioners of the ASD and GSD literature. A synthesis of solutions found in seventysix studies provided 48 distinct practices that organizations can implement, including ”collaboration among teams”, ”agile architecture”, ”coaching”, ”system demo” and ”test automation”. These implementable practices go some way towards providing solutions to manage GSD teams, and thus to embrace agility.