VICENTE DÍAZ , Saturnino

Cuando hablamos de Tecnología de Rehabilitación (o Tecnología asistencia) nos estamos refiriendo a una nueva forma de desarrollar aplicaciones tecnológicas. Lo que pretende la Tecnología de la Rehabilitación es desarrollar aplicaciones técnicas p ara ser usadas por personas con discapacidad, mayores, sus familias o los profesionales que los...

En esta ponencia-demo se presenta una práctica donde se analiza la influencia en el tiempo de ejecución de algunas optimizaciones sobre el código máquina para procesadores reales (familia Intel Pentium). Se propone el estudio del efecto del emparejamiento de instrucciones y de las dependencias entre registros, la aceleración obtenida con el...

A shared control method, called Shared Control Dynamic Window Approach, is presented. It is inspired in the Dynamic Window Approach (DWA) for autonomous mobile robots. It takes user commands by means of the control interface and provide the most suitable and kinodinamically feasible trajectory that guarantees obstacle avoidance. It provides...

Problem-based learning (PBL) has proved to be a highly successful pedagogical model in many fields, although it is not that common in computer engineering. PBL goes beyond the typical teaching methodology by promoting student interaction. This paper presents a PBL trial applied to a course in a computer engineering degree at the University of...

TetraNauta is an electric wheelchair guidance system intended for people with heavy motion impairments (such as persons with tetraplegia). It is specially useful when impairments also affect wheelchair steering as it is able to automatically guide wheelchairs between different points in a known environment (a hospital, a school, etc),...

La reacción en cadena de la polimerasa (PCR) se apoya hoy en día en el uso de termocicladores: dispositivos capaces de realizar ciclos de temperatura rápidos y precisos. En este trabajo se ha desarrollado una técnica de calibración para un prototipo de termociclador, así como un modelado lineal por tramos, y se ha medido su impacto en la...

Address Event Representation (AER) is an emergent neuromorphic interchip communication protocol that allows for real-time virtual massive connectivity between huge number neurons located on different chips. By exploiting high speed digital communication circuits (with nano-seconds timings), synaptic neural connections can be time multiplexed,...

In this work we present a new path following control for unicycle robots that is applicable for almost all the possible desired paths and whose analysis is very straightforward. First we select the path following method that consists of two steps: choosing a ''projection'' that relates the actual posture to the desired path and imposing a...

Several authors have proposed some methods for applying path following in specific cases to mobile robots. When we try to extend the path following approach to the general problem several difficulties arise. We present a generalized technique to apply path following to a mobile robot with nonholonomic constraints. As an application example, we...

The TetraNauta project is a low cost, fully open steering system to allow people with heavy motor impairments to move in a known environments (hospitals, schools, home, etc.). It minimizes the steering effort, especially in long paths, while caring for user safety. Every TetraNauta wheelchair has a general map of the environment wherein it...

We propose a simpler and latency-reduced instruction scheduler, called chronoscheduling algorithm, which avoids large and difficult instruction wake-up in order to reduce power consumption and latencies. The key idea of this scheduler is to extract and record all possible information about the future execution of an instruction during its...

Glaucoma is a degenerative disease that affects vision, causing damage to the optic nerve that ends in vision loss. The classic techniques to detect it have undergone a great change since the intrusion of machine learning techniques into the processing of eye fundus images. Several works focus on training a convolutional neural network (CNN) by...

We propose a dynamic instruction scheduler that does not need any kind of wakeup logic, as all the instructions are "programmed" on issue stage to be executed in pre-calculated cycles. The scheduler is composed of two similar levels, each one composed of simple "stations", where the timing information is recorded. The first level is aimed to...

Robotics is an area of research in which the paradigm of Multi-Agent Systems (MAS) can prove to be highly useful. Multi-Agent Systems come in the form of cooperative robots in a team, sensor networks based on mobile robots, and robots in Intelligent Environments, to name but a few. However, the development of Multi-Agent Robotic Systems (MARS)...

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Address-Event-Representation (AER) is a communications protocol for transferring spikes between bio-inspired chips. Such systems may consist of a hierarchical structure with several chips that transmit spikes among them in real time, while performing some processing. To develop and test AER based systems it is convenient to have a set of...

When convolutional neural networks are applied to image segmentation results depend greatly on the data sets used to train the networks. Cloud providers support multi GPU and TPU virtual machines making the idea of cloud-based segmentation as service attractive. In this paper we study the problem of building a segmentation service, where images...

This dataset contains samples coming from a hydraulic block from a biomedical equipment. The block mounts 3 Thomas SR10/30 DC standard perisltaltic pumps, which were filled with distilled water. Only one pump was running at the same time during these recordings, always at maximum constant speed. The cassettes of the pumps were changed before...

Bluetooth is a suitable technology to support soft real-time applications like multimedia streams at the personal area network level. In this paper, we analytically evaluate the worst-case deadline failure probability of Bluetooth packets under co-channel interference as a way to provide statistical guarantees when transmitting soft real-time...

The COVID-19 pandemic caused by the new coronavirus SARS-CoV-2 has changed the world as we know it. An early diagnosis is crucial in order to prevent new outbreaks and control its rapid spread. Medical imaging techniques, such as X-ray or chest computed tomography, are commonly used for this purpose due to their reliability for COVID-19...

Prostate cancer is currently one of the most commonly-diagnosed types of cancer among males. Although its death rate has dropped in the last decades, it is still a major concern and one of the leading causes of cancer death. Prostate biopsy is a test that confirms or excludes the presence of cancer in the tissue. Samples extracted from biopsies...

Medical images from different clinics are acquired with different instruments and settings. To perform segmentation on these images as a cloud-based service we need to train with multiple datasets to increase the segmentation independency from the source. We also require an ef cient and fast segmentation network. In this work these two...