Deep Learning algorithms have become one of the best approaches for pattern recognition in several fields, including computer vision, speech recognition, natural language processing, and audio recognition, among others. In image vision, convolutional neural networks stand out, due to their relatively simple supervised training and their...
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January 27, 2020 (v1)PublicationUploaded on: December 4, 2022
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July 10, 2017 (v1)Publication
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...
Uploaded on: March 27, 2023 -
January 31, 2020 (v1)Publication
Deep-learning is a cutting edge theory that is being applied to many fields. For vision applications the Convolutional Neural Networks (CNN) are demanding significant accuracy for classification tasks. Numerous hardware accelerators have populated during the last years to improve CPU or GPU based solutions. This technology is commonly...
Uploaded on: March 27, 2023 -
February 5, 2020 (v1)Publication
Spiking convolutional neural networks have become a novel approach for machine vision tasks, due to the latency to process an input stimulus from a scene, and the low power consumption of these kind of solutions. Event-based systems only perform sum operations instead of sum of products of framebased systems. In this work an upgrade of a...
Uploaded on: March 27, 2023 -
December 26, 2019 (v1)Publication
This demonstration shows a Dynamic Vision Sensor able to capture visual motion at a speed equivalent to a highspeed camera (20k fps). The collected visual information is presented as normalized histogram to a CNN accelerator hardware, called NullHop, that is able to process a pre-trained CNN to play Roshambo against a human. The CNN designed...
Uploaded on: December 4, 2022 -
January 13, 2020 (v1)Publication
Deep Learning algorithms have become state-of-theart methods for multiple fields, including computer vision, speech recognition, natural language processing, and audio recognition, among others. In image vision, convolutional neural networks (CNN) stand out. This kind of network is expensive in terms of computational resources due to the large...
Uploaded on: December 5, 2022 -
January 30, 2020 (v1)Publication
Sensors Network is an integration of multiples sensors in a system to collect information about different environment variables. Monitoring systems allow us to determine the current state, to know its behavior and sometimes to predict what it is going to happen. This work presents a monitoring system for semi-wild animals that get their actions...
Uploaded on: December 5, 2022 -
January 21, 2020 (v1)Publication
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...
Uploaded on: December 4, 2022 -
January 23, 2020 (v1)Publication
In this demonstration a spiking neural network architecture for vision recognition using an FPGA spiking convolution processor, based on leaky integrate and fire neurons (LIF) and a SpiNNaker board is presented. The network has been trained with Poker-DVS dataset in order to classify the four different card symbols. The spiking convolution...
Uploaded on: December 4, 2022 -
January 31, 2020 (v1)Publication
Autonomous robots have become a very popular topic within the artificial intelligence field. These systems are able to perform difficult or risky tasks that could be dangerous when done by humans or trained animals. Vision is commonly considered the most relevant input sensor for autonomous robots and tracking systems. However, auditory...
Uploaded on: December 4, 2022 -
January 17, 2020 (v1)Publication
Neuromorphic systems are engineering solutions that take inspiration from biological neural systems. They use spike-or event-based representation and codification of the information. This codification allows performing complex computations, filters, classifications and learning in a pseudo-simultaneous way. Small incremental processing is done...
Uploaded on: December 4, 2022 -
January 23, 2020 (v1)Publication
In this paper we present a sub-system to convert audio information from low-power MEMS microphones with pulse density modulation (PDM) output into rate coded spike streams. These spikes represent the input signal of a Neuromorphic Auditory Sensor (NAS), which is implemented with Spike Signal Processing (SSP) building blocks. For this...
Uploaded on: March 27, 2023 -
June 19, 2021 (v1)Publication
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...
Uploaded on: December 4, 2022 -
November 11, 2022 (v1)Publication
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...
Uploaded on: December 4, 2022 -
January 22, 2020 (v1)Publication
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...
Uploaded on: December 4, 2022 -
July 10, 2017 (v1)Publication
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...
Uploaded on: December 4, 2022 -
January 22, 2020 (v1)Publication
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...
Uploaded on: March 27, 2023 -
January 29, 2020 (v1)Publication
Many FPGAs vendors have recently included embedded processors in their devices, like Xilinx with ARM-Cortex A cores, together with programmable logic cells. These devices are known as Programmable System on Chip (PSoC). Their ARM cores (embedded in the processing system or PS) communicates with the programmable logic cells (PL) using...
Uploaded on: March 27, 2023 -
February 13, 2020 (v1)Publication
Deep learning has significantly advanced the state of the art in artificial intelligence, gaining wide popularity from both industry and academia. Special interest is around Convolutional Neural Networks (CNN), which take inspiration from the hierarchical structure of the visual cortex, to form deep layers of convolutional operations, along...
Uploaded on: December 4, 2022 -
January 31, 2020 (v1)Publication
Deep learning has significantly advanced the state of the art in artificial intelligence, gaining wide popularity from both industry and academia. Special interest is around Convolutional Neural Networks (CNN), which take inspiration from the hierarchical structure of the visual cortex, to form deep layers of convolutional operations, along...
Uploaded on: December 2, 2022 -
November 11, 2022 (v1)PublicationIncremento de la motivación en el aprendizaje de enseñanzas informáticas mediante herramientas maker
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....
Uploaded on: March 24, 2023 -
February 6, 2020 (v1)Publication
The study and monitoring of wildlife has always been a subject of great interest. Studying the behavior of wildlife animals is a very complex task due to the difficulties to track them and classify their behaviors through the collected sensory information. Novel technology allows designing low cost systems that facilitate these tasks. There are...
Uploaded on: March 27, 2023 -
May 14, 2018 (v1)Publication
The study and monitoring of wildlife has always been a subject of great interest. Studying the behavior of wild animals is a difficult task due to the difficulties of tracking and classifying their actions. Nowadays, technology allows designing low-cost systems that make these tasks easier to carry out, and some of these systems produce good...
Uploaded on: December 5, 2022 -
January 23, 2020 (v1)Publication
In this demonstration we present a spiking neural network architecture for audio samples classification using SpiNNaker. The network consists of different leaky integrate-and-fire neuron layers. The connections between them are trained using firing rate based algorithms. Tests use sets of pure tones with frequencies that range from 130.813 to...
Uploaded on: March 27, 2023 -
February 12, 2021 (v1)Publication
Neuromorphic vision sensors detect changes in luminosity taking inspiration from mammalian retina and providing a stream of events with high temporal resolution, also known as Dynamic Vision Sensors (DVS). This continuous stream of events can be used to extract spatio-temporal patterns from a scene. A time-surface represents a spatio-temporal...
Uploaded on: March 26, 2023