Examinando por Autor "García Campos, Carlos Alan"

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    A comparative analysis of Gabor filters and biologically inspired learning rules for image classification implementing Spiking Neural Networks
    (Universidad Autónoma de Baja California., ) García Campos, Carlos Alan; Okuno, Hirotsugu; Morales Carbajal, Ricardo
    Plastic changes on the synapse drive by spike-timing have been of great interestas the main learning rule for spiking neural networks. Spike-timing-based rules arebuilt to model the behavior of a region on the brain related to experimental data inneuroscience, therefore can lead to differences in the moment of implementing therule within a spiking network. This work compares the performance of a pair-wiseand a triplet STDP with different spike interactions to clear an MNIST classificationtask. A bio-inspired preprocessing stage was implemented that consisted of a Gaborfilter (as a model of the simple cells mechanism orientation selectivity) and an inputnormalization for a homogeneous brightness level of each image. The highlightsof this work are 1) The consistent improvement of the model accuracy wheneverthey added the Gabor filter to the inputs; 2) The input normalization to preventthe overfitting of the model; 3) The Gabor filter helps to correct decoding of someimages of the dataset on the evaluation test.
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    Control de un mecanismo rotacional de 1GDL utilizando actuadores de aleaciones con memoria de forma y plataforma raspberry PI
    (Universidad Autónoma de Baja California, Facultad de Odontología, 2021) García Campos, Carlos Alan; Duarte Arenas, María Guadalupe
    En esta tesis se presenta la aplicación de un algoritmo PI en el control angular de un mecanismo rotacional a través de un protocolo de comunicación Bluetooth. Con el uso de una Raspberry Pi se extrajo del sensor TSS-MBT las coordenadas de su posición ang