DOMÍNGUEZ MORALES , Juan Pedro

In this work novel speech recognition and audio processing systems based on a spiking artificial cochlea and neural networks are proposed and implemented. First, the biological behavior of the animal's auditory system is analyzed and studied, along with the classical mechanisms of audio signal processing for sound classification, including Deep...

This software presents diverse utilities to perform the first post-processing layer taking the neuromorphic auditory sensors (NAS) information. The used NAS implements in FPGA a cascade filters architecture, imitating the behavior of the basilar membrane and inner hair cells and working with the sound information decomposed into its frequency...

Auscultation is one of the most used techniques for detecting cardiovascular diseases, which is one of the main causes of death in the world. Heart murmurs are the most common abnormal finding when a patient visits the physician for auscultation. These heart sounds can either be innocent, which are harmless, or abnormal, which may be a sign of...

En el presente artículo se describe una práctica de laboratorio multitarea en el ámbito de las asignaturas de sistemas empotrados en los grados de Ingeniería Informática, mediante una metodología de gestión de proyectos basada en Kanban. La práctica abarca diferentes familias de microcontroladores de distintos niveles de dificultad de...

Múltiples lesiones neurológicas, como los Accidentes Cardíacos Vasculares (ACV), provocan una degeneración y/o atrofia de la movilidad en las extremidades. La terapia pasiva se suele usar en los procesos de recuperación tras sufrir este tipo de lesiones, pero los ejercicios de brazos y manos utilizados habitualmente se basan en la realización...

Building Information Models (BIM) are essential for managing information and creating 3D digital representations, especially in the study of historic buildings. However, generating BIM models from point clouds in these structures is challenging due to complex algorithms and architectural forms. Artificial Intelligence (AI) technologies are...

In stereo-vision processing, the image-matching step is essential for results, although it involves a very high computational cost. Moreover, the more information is processed, the more time is spent by the matching algorithm, and the more ine cient it is. Spike-based processing is a relatively new approach that implements processing methods by...

The study and monitoring of the behavior of wildlife has always been a subject of great interest. Although many systems can track animal positions using GPS systems, the behavior classification is not a common task. For this work, a multi-sensory wearable device has been designed and implemented to be used in the Doñana National Park in order...

In recent years, it has been observed how the locomotion systems of vertebrate animals serve as inspiration to enhance the performance of robotic systems. These animal systems are characterized by their ability to adapt to environmental changes detected by their biological sensors. With this model in mind, our objective is to replicate this...

The use of deep learning solutions in different disciplines is increasing and their algorithms are computationally expensive in most cases. For this reason, numerous hardware accelerators have appeared to compute their operations efficiently in parallel, achieving higher performance and lower latency. These algorithms need large amounts of data...

Melanoma poses a significant global health threat, contributing to over 90% of skin cancer-related deaths. Dermoscopy aids in early melanoma diagnosis, but distinguishing between in situ and invasive melanomas remains challenging, even for experienced dermatologists. Recent strides in artificial intelligence (AI) for medical image analysis...

ste artículo presenta la metodología empleada para dotar a nuestros alumnos, alumnos de la asignatura Diseño con Microcontroladores en el contexto del Máster de Ingeniería de Computadores y Redes de la Universidad de Sevilla, de la capacidad de diseñar y desarrollar sistemas empotrados integrados con interfaz gráfica. En la actualidad se...

In this work, a novel distance estimation mechanism using received signal strength indication (RSSI) signals with ZigBee modules is designed, implemented and tested in several scenarios. This estimator was used for a research project focused on a wildlife behavioral classification system deployed in Doñana's National Park. As a supporting...

En este artículo se describe una práctica de labora torio para la docencia de sistemas operativos en tiempo real (RTOS) para microcontroladores de 32bits en el ámbito de los grados en Ingeniería de Computadores, mediante una metodología de apren dizaje basado en proyectos (ABP) [1]. En concreto esta práctica abarca la comunicación Hardwa...

In this paper, we explore the capabilities of a sound classification system that combines a Neuromorphic Auditory System for feature extraction and an artificial neural network for classification. Two models of neural network have been used: Multilayer Perceptron Neural Network and Spiking Neural Network. To compare their accuracies, both...

La sociedad avanza, y este avance favorece la aparición de nuevas necesidades, las cuales son cubiertas por profesionales especializados en campos específicos, como médicos, ingenieros, profesores, etc. Pero cada vez más, estos nuevos "problemas" requieren soluciones complejas y multidisciplinares, haciendo uso de varios campos de...

Although it is not a novel topic, pattern recognition has become very popular and relevant in the last years. Different classification systems like neural networks, support vector machines or even complex statistical methods have been used for this purpose. Several works have used these systems to classify animal behavior, mainly in an offline...

Este artículo presenta una práctica laboratorio impartida mediante una metodología de aprendizaje basado en proyectos (ABP) [1] para dotar de la capacidad de diseñar y desarrollar un monitor del estado de un ordenador, integrado en un sistema empotrado que se comunica con una aplicación de escritorio, a nuestros alumnos de la asignatura de...

Neural networks algorithms are commonly used to recognize patterns from different data sources such as audio or vision. In image recognition, Convolutional Neural Networks are one of the most effective techniques due to the high accuracy they achieve. This kind of algorithms require billions of addition and multiplication operations over all...

Prostate cancer (PCa) is a prevalent and deadly disease, necessitating advancements in diagnostic approaches with the advent of clinical digitization. This shift involves the application of Deep Learning and Convolution Neural Networks for automated PCa diagnosis through image processing. The Gleason scale is pivotal in assessing PCa...

Visualizing the output from event-based sensors and analyzing the information within it is crucial when developing new neuromorphic systems. A novel open-source, cross-platform Python package called pyNAVIS is proposed, which provides a set of functionalities to analyze and process spiking information obtained from neuromorphic cochleas, along...

The human binocular system performs very complex operations in real-time tasks thanks to neuronal specialization and several specialized processing layers. For a classic computer vision system, being able to perform the same operation requires high computational costs that, in many cases, causes it to not work in real time: this is the case...

La enseñanza de asignaturas del ámbito de la informática está experimentando un gran cambio. La motivación del alumnado se encuentra en proceso de una recesión. Ésta, históricamente, se ha relacionado con el alumnado, pero no es del todo correcto. Es obligación del profesor aportar argumentos en la docencia para facilitar esta motivación....