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The problem of concurrent design of a mechanism can be defined as finding optimal structural parameters and control parameters for a given objective function during the same optimization process. In this paper, a general concurrent optimization methodology for kinematically complex mechanisms is tested using a Delta manipulator. This methodology intends to optimize any structure and control design,...
Gray-Box Models which combine a phenomenological model with a black box tool are useful for determining the values of not well known parameters of the model. In this work an indirect strategy for training these gray box models using least-square support vector machine and genetic algorithms is presented. The gray box model was tested in a Continuous Stirred Tank Reactor process with good results (Index...
Open-shop scheduling problems are highly complex (NP-Hard), where solution is represented by a permutation of machines order that each job must follow to be processed, and for each job, it can have a different machines order. The main goal in these problems is to reduce consumption resources, and at same time, improving several performance criteria. In this work we propose a computational strategy...
This paper proposes a new technique based on the employment of genetic algorithms to solve the inverse biomagnetic problem. The biomagnetic measurements analyzed in this paper were performed on isolated rabbit hearts and acquired by a 16-Channel SQUID system. The developed method focused on defining the single equivalent current dipole that best fits the experimental data. The genetic algorithm is...
Brain Computer Interfaces allow the interaction between a person and their environment using signals extracted directly from the brain. One of the most common non-invasive methods of brain signal acquisition is the electroencephalography (EEG). An EEG based BCI system requires the processing and translation of the EEG signal into significant features that could be converted into commands for the external...
The last decade Digital Pathology is coming as a relevant and promising area for cancer research and clinical practice thanks to two main trends, 1) the availability of whole slide scanners for complete pathology slide digitalization, and 2) the development of several computational method for histopathology image analysis. However, there are very few works addressed to analyze the whole-slide digitized...
GMI magnetometers are magnetic transducers based on Giant Magnetoimpedance sensor elements, which are ferromagnetic samples that present a large variation in their impedance as a function of the external magnetic field. The sensitivity of magnetic transducers is directly dependent on the sensitivity of their sensor elements. Consequently, one can optimize the overall sensitivity of the transducer...
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