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This work faces the problem of frequency deviation in microgrid systems. The considered microgrid includes renewable energy sources such as wind and solar photovoltaic. As long as these sources provide an irregular power supply or there is a sudden change in the system load, the power system frequency deviates. In order to compensate such deviations, alternative, conventional energy sources should...
Substantial amounts of greenhouse gases (GHG) have been demonstrated to be emitted in wastewater treatment plants (WWTP). One of the GHG with a great influence is nitrous oxide (N2O), which is emitted during the nitrification and denitrification processes in a biological wastewater treatment. This paper proposes the implementation of a control strategy in order to reduce N2O emissions in the nitrification...
In this paper, a One-Degree-of-Freedom PI controller is optimized using the model reference tuning approach for a Second Order Inverse Response and Dead Time Process operating as a servo control. In addition, a graphic user interface tool that computes the PI optimized controller parameters is presented, also showing the response of the control system operating as a servo-control (the optimized one)...
This paper presents a microfluidic device which uses bead-based polymerase chain reaction (PCR) to amplify and detect genomic DNA of Bordetella Pertussis. PCR is a biochemical amplification process in which template DNA is duplicated by repeated thermal cycling and enzymatic amplification. The device uses an integrated resistive heater and temperature sensor beneath a (poly) dimethylsiloxane microfluidic...
This paper deals with the identification and robust control of a biological wastewater treatment process. The identification has been done on the basis of the minimization of an Euclidian-distance criterion, with respect to the model coefficients. The robust control of the biological wastewater treatment process has been accomplished through QFT (quantitative feedback theory) techniques. To this end...
This paper presents the development and evaluation of a time-frequency processing technique for detection and classification of buried cylindrical targets from chirp-based parametric sonar data. The software is designed to discriminate between cylindrical targets - such as cables - of different diameters, which need to be identified as different from other strong reflectors or point targets. The method...
The paper deals with the identification of a wastewater treatment process based on the sensibilities calculus. The paper also contains a study regarding the parameter relevance with the purpose to make easier the identification procedure. According to this procedure the set of parameters that must be identified is reduced, a part of the parameter vector (the parameters that are not relevant) being...
In this paper we present an approach for processing sonar signals with the ultimate goal of ocean bottom sediment classification. Work reported is based on sonar data collected by the Volume Search Sonar (VSS), one of the five sonar systems in the AN/AQS-20. Our technique is based on the Fractional Fourier Transform (FrFT), a time-frequency analysis tool which has become attractive in signal processing...
The paper deals with the identification and the control of a continuous biotechnological process using dynamic neural networks. The process considered in the paper is the growth process of Candida lipolytica population on an ammonium sulfate substrate and its model includes a mean age equation. The neural network used for identification is trained at every hour, based on the experimental data from...
In this paper we present an approach for processing of sonar signals with the ultimate goal of ocean bottom sediment classification. Work reported is based on sonar data collected by the volume search sonar (VSS) in the Gulf of Mexico, as well as on VSS synthetic data. The volume search sonar is a beam formed multibeam sonar system with 27 fore and 27 aft beams, covering almost the entire water volume...
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