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 - 5 de 5

Acesso aberto (Open Access)
Uma abordagem metodológica para implementação multi-modelos de teste de software adotando o MPT.Br e o TMMi
(Universidade Federal do Pará, 2014-01-20) BRITO NETO, Olavo Nylander; OLIVEIRA, Sandro Ronaldo Bezerra; http://lattes.cnpq.br/2080791630485427
Through the years software quality models and correlated has emerged and gained more space in software development organizations. These models cover the entire development process, or specific areas of the process. Due the test area qualify the result of the products generated with the reduction of defects found during the development and being an area with little attention during this development process. This work presents a methodology for implementing multi-process models of software testing. Emphasizing an approach used to create material support in implementing multi-models applied in models MPT.Br and TMMi, aligning with the present levels of maturity models, emphasizing the methodology and materials generated during this process. Generating inputs that tend to facilitate knowledge adherence to the aforesaid models and facilitating the adaptation of international organizations wishing to know the Brazil’s test culture.
Acesso aberto (Open Access)
Aplicação de sensores virtuais na estimação da concentração dos parâmetros físico-químicos e metais em corpos d’água de reservatórios de hidrelétricas: um estudo de caso na Região Amazônica
(Universidade Federal do Pará, 2014-10-23) RIBEIRO NETO, Benedito de Souza; OLIVEIRA, Terezinha Ferreira de; http://lattes.cnpq.br/6230804143692945; SILVEIRA, Antônio Morais da; http://lattes.cnpq.br/7549503749842625
This research introduces the use of virtual sensors to estimate the concentration of physico-chemical parameters and metals in monitoring water quality of reservoirs Amazon through artificial neural networks (ANN) and images of remote sensing. A factor analysis of the variables considered in the study confirmed the relationship of the first factor with Secchi disk, Total Iron, PO4, Total P, TSS and Turbidity on a single factor, as these have a high reflectance and good energy absorption by satellite sensors. These elements were determined by ANN's, producing satisfactory results approach 100% between observed and estimated. The tests resulted in a good approximation, the first band Secchi disk depth, total Fe, STS, and turbidity of the water reservoir. In the specific case of the parameters PO4 and Total P, besides the problem of the small number of sampling stations available data and the variability inherent in the hydrological cycle of the region, it was found, through the interpretation of images, lack of similarities between the data used in training and validation of RNA. Overall, the study demonstrated the effectiveness of the application of virtual sensors in monitoring water quality of reservoirs in the Amazon by satellite imagery, providing a precise and less expensive alternative resources in the process of environmental monitoring.
Acesso aberto (Open Access)
Aplicação de técnicas estatísticas e de inteligência computacional na classificação de ciclos hidrológicos em reservatórios de água na região amazônica: um estudo de caso
(Universidade Federal do Pará, 2014-05-09) FREIRE, Jean Carlos Arouche; OLIVEIRA, Terezinha Ferreira de; http://lattes.cnpq.br/6230804143692945; MORAIS, Jefferson Magalhães de; http://lattes.cnpq.br/5219735119295290
This study evaluates the quality of the water reservoir of the Hydroelectric Plant Tucuruí according to the regional hydrological cycle and the spatial arrangement of the different sampling sites distributed in areas upstream of the dam in the period 2009-2012 from the amendment of 17 parameters physico-chemical and metals from water extracted of six factors that accounted for 71.01% of total data variability. It was observed that the greatest variations of NO3, NH4, , totalP, PO4 and STS occurred in the period of floods and may be an indication of trophic status in the sampling sites due to the existence of fishing poles or population density in the vicinity these sites. Discriminant analysis, artificial neural networks, k-nearest neighbors, support vector machine with polynomial and radial core and random forest: classification of the hydrological cycle to six classifiers were used. The results indicate that the random forest classifier showed the best performance with a percentage rating of 7.80% of incorrect predictions. While Student t test indicates that random forest and k-nearest neighbors have an average rate of incorrect predictions with equal significance index set at α = 5%.
Acesso aberto (Open Access)
Estudo de algoritmos para classificação de séries temporais: uma aplicação em qualidade de energia elétrica
(Universidade Federal do Pará, 2007-08-24) MORAIS, Jefferson Magalhães de; KLAUTAU JÚNIOR, Aldebaro Barreto da Rocha; http://lattes.cnpq.br/1596629769697284
It concerns automatic classification of short circuits in transmission lines. Most trans-mission systems use three phases: A, B and C. Hence, a short-circuit between phases A and B will be identified as AB". Considering the possibility of a short-circuit to ground" (T), the task is to classify a time series into one among eleven possibilities: AT, BT, CT, AB, AC, BC, ABC, ABT, ACT, BCT, ABCT. These faults are responsible for the majority of the distur-bances in electric power systems. Each short circuit is represented by a sequence (time-series) and both online (for each short segment) and offline (taking in account the whole sequence) classification are investigated. To circumvent the current lack of labeled data, the Alternative Transient Program (ATP) simulator is used to create a public comprehensive labeled dataset. Some works in the literature fail to distinguish between ABC and ABCT faults. Then, results differentiated these two faults types adopting preprocessing techniques, different front ends (e.g., wavelets) and learning algorithms (e.g., decision trees and neural networks) are apresented. The computational cost of the some classifiers during the test stage is investigated and the choosing parameters of classiffers is done by automatic model selection. The results indicate that decision trees and neural networks outperform the other methods.
Acesso aberto (Open Access)
Reposdn: um método de organização e coordenação de aplicações em repositório para redes definidas por software
(Universidade Federal do Pará, 2014-02-28) PINHEIRO, Rômulo Silva; ABELÉM, Antônio Jorge Gomes; http://lattes.cnpq.br/5376253015721742
The adoption of the paradigm of Software Defined Networks - SDN by academic institutions and large companies like Google, Cisco, HP, among others, is already a reality. This paradigm is considered a solution to the new model of Future Internet due to its technical and economic viability. The SDN paradigm enables new perspectives in terms of abstractions, control and development applications, free from the limitations of current technologies environments. However there is still lack in the way the management and control of several existing applications in the Internet occurs. The programmability is key to successful paradigm for Software Defined Networks as it allows the separation of the data with the control plane level. However, in the context of this paradigm, manage input and output controllers for many applications is a relatively unexplored issue, since the SDN applications, routing applications such as, for example, are not organized in a controlled environment. This thesis proposes a method of organization and coordination applications in repository for software defined networks, called RepoSDN, which specifies, models and automates the processes needed for applications reaching the administrator can manage this and their uses in the network, making it simple, safe and agile. The RepoSDN presents a structure where each SDN application is managed within the network to reach out to controllers. Additionally, it contains a central repository, where any user can send their applications to share with management Software Defined Network, which use specific applications for your need. A prototype of RepoSDN, which implements the functionality of the applications repository and components designed to help in the management of applications on a programmable network was developed. The method of organization and coordination of applications repository for SDN helps the administrator to handle each application. The proposal has been validated through the development of the repository of application, which consisted in doing load testing in developed component testing. The objective of the components is becoming simpler method that applications are entered in the various types of controllers of Software Defined Networking, resulting in the proof of feasibility, scalability and exibility of RepoSDN.

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