Navegando por Assunto "Sistema computacional"

Agora exibindo 1 - 2 de 2

Acesso aberto (Open Access)
Desenvolvimento de sistema computacional para avaliação de lodo de esgoto sanitário como biomassa na geração de energia
(Universidade Federal do Pará, 2012-06) SANTOS, Yvelyne Bianca Iunes; PEREIRA, José Almir Rodrigues; http://lattes.cnpq.br/9918600634569244
Development of a computational system to assess sewage sludge sanitary as biomass to generate energy in combustion processes, taking into account Brazilian technical and environmental norms. Classes were created and implemented in the system to assess sewage sludge as energy potential and considered limits established in the norms NBR 10004/04, NBR 10004/87 and CONAMA Resolution nº 316/2002 for adverse environmental impacts, damages or risks to public health , identifying the feasibility of use of this residual as biomass to generate energy in combustion processes. The system was developed using a Model-View-Controller (MVC) software considered an architectural pattern, with method represented by logical rules, whose input data were the results from laboratory determination of sewage sludge samples, test processing and logical sequence of rules, and reports to enable the user to make a decision. To validate the system it was used results from technical work on the use of sewage sludge as biomass to generate energy in experimental scale, observing that the limits adopted in the system were appropriate as parameters to evaluate the energy potential of the sampled sludge, its toxicity and air pollution; that the explanatory and alert messages have been clearly sent; that the logical sequence of rules had been progressively implemented; and that the values obtained in the system had been compatible with the validation works. Finally, it was concluded that the system developed may be used to expedite decision-making, mainly, in waste treatment plant with large quantities of sludge.
Acesso aberto (Open Access)
Estratégias de identificação paramétrica aplicadas à modelagem dinâmica de um servidor web Apache
(2012-02) ABREU, Thiago Wanderley Matos de; BARRA JUNIOR, Walter; BARREIROS, José Augusto Lima; COSTA JÚNIOR, Carlos Tavares da
This article presents an experimental study about parametric identification techniques applied to the modeling of an Apache webserver. In order to simulate load variations at the server, an experimental arrangement was developed, which is composed of two personal computers, one used to run the Apache server and the other to generate workload by requesting services to the Apache. Auto-regressive (AR) parametric models were estimated at different operating points and workload conditions. The mean values of the MaxClients input (a parameter which is used to set the maximum number of the server's active processes) were used to define the operating points, in order to obtain the Apache server CPU utilization (in %) as output. 600 samples were collected at each operating point every 5 seconds. To proceed with the system identification, half of the data set was used for parameter estimation while the other half was used for model validation, at each operating point. A study of the most adequate system order showed that a 7th order model could be satisfactorily used for MaxClients low values operating points. However, the results showed that higher order models are needed for MaxClients higher values, due to system inherent non-linearities.