Programa de Pós-Graduação em Ciência da Computação - PPGCC/ICEN

URI Permanente desta comunidadehttps://repositorio.ufpa.br/handle/2011/2351

O Programa de Pós-Graduação em Ciência da Computação (PPGCC) é um programa do Instituto de Ciências Exatas e Naturais (ICEN) da Universidade Federal do Pará (UFPA). O PPGCC foi fundando em 2005 e visa ampliar a massa crítica na região, objetivando a produção de pesquisa científica na área, na busca de resolução de problemas regionais.

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Agora exibindo 1 - 2 de 2

Acesso aberto (Open Access)
Controle energeticamente eficiente de múltiplos saltos para redes de sensores sem fio heterogêneas utilizando lógica fuzzy
(Universidade Federal do Pará, 2014-03-21) SILVA, Alexandre Márcio Melo da; SILVEIRA, Antônio Morais da; http://lattes.cnpq.br/7549503749842625
This study presents a centralized control to elect appropriate Cluster Heads (CHs), assuming three levels of heterogeneity and multi-hop communication between Cluster Heads. The centralized control uses the k-means algorithm, responsible for the division of clusters and Fuzzy Logic to elect the Cluster Head and selecting the best route of communication between elected. The results indicate that the proposal offers great advantages, allowing us to select the most suitable nodes for group leaders at each round based on the Fuzzy System values, and also the use of Fuzzy Logic as a decision tool to implement multiple hops between CHs, since it minimizes the power dissipation of the selected CHs more distant from the collection point. The insertion of three levels of heterogeneity,corresponding to normal, advanced and super sensors, contributes considerably to increasing the period of network stability. Another great contribution obtained from the is the use of a central control in base station (BS) with advantages over local information processing in each node, a process usually found in traditional algorithms for electing CHs. The proposed solution proved that the election of the more efficient CH, considering its location and energy levels discrepancies, and also, the inclusion of new heterogeneity levels, allows to increase the networkstability period, ie, the period that the network is fully functional, greatly increasing the useful lifetime in heterogeneous WSN.
Acesso aberto (Open Access)
Uma ontologia que estabelece os relacionamentos de dependência entre as práticas de gerência de requisitos e gerência de projetos constantes nos modelos MR-MPS-SW e CMMI-DEV
(Universidade Federal do Pará, 2014-04-16) YOSHIDOME, Ewelton Yoshio Chiba; OLIVEIRA, Sandro Ronaldo Bezerra; http://lattes.cnpq.br/2080791630485427
The models and standards for software quality aim to propose a set of best practices to support the software companies in order to achieve the continuous software process improvements, so, those companies may develop better products. Commonly, the software companies need to hire implementation consultants in order to support the best practices institutionalization. In this context, there are companies and novice consultants that have the difficulty to understand about the practices and the relationship between those practices in quality models. In order to resolve it, we will create a ontology. The ontology is “a set of ordered terms, by hierarchy, in order to describe a domain that can be used as a knowledge base”. Thus, this research proposes a ontology that establish the dependency relationship among the best practices of project management process and requirement management process. In order to achieve this result, we need: (1) a study about the best practices presents in MR-MPS-SW and CMMI-DEV models, in order to find the relationship among the best practices; (2) create a ontology in UML – Unified Modeling Language; (3) define the ontology axioms, in order to consolidate the meaning of dependency relationships; and (4) survey the companies that have official certification, in this survey we collected the evidences used to implement the best practices suggested in quality models, in order to instantiate the ontology for its evaluation. In the end, our outcome was a ontology (structured model and axioms) that establish the relationship of the best practices among Project Management and Requirement Management process.

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