Publication type: Conferences

This paper describes GLOC3, a general software control architecture intended for unmanned vehicles. Applying a criterion of maximizing software maintainability and reusability, as well as fulfilling the monitoring and logging needs that arise from any experimental platform, this architecture is based on a single minimalist generic component. Besides, this software infrastructure is intended to make easier both the specification of experiments and missions at the different development stages. The case of the control architecture of an Unmanned Aerial Vehicle, to be employed as part of the robot fleet of the MINOAS project, is considered by way of illustration.

En este artículo se presenta la arquitectura propuesta en el ámbito de la sanidad pública balear para la integración de diversos sistemas de información que tienen relación con imágenes electrocardiográficas. Con este proyecto se pretende concentrar todos estos sistemas dispersos por la comunidad, con el fin de centralizar y agilizar el proceso de consulta unificada de electrocardiogramas desde Atención Primaria y facilitar la gestión de los historiales clínicos. La arquitectura propuesta se compone de una serie de integraciones de diversa índole, algunas de las cuales hacen uso de un motor de integración, que potencia
la flexibilidad y escalabilidad del sistema y facilita su monitorización.

Vessel maintenance entails periodic visual inspections of internal and external parts of the vessel hull in order to detect structural failures. Typically, this is done by trained surveyors at great cost. Clearly, assisting them during the inspection process by means of a fleet of robots capable of defect detection would decrease the inspection cost. In this paper, a novel algorithm for visual detection of coating breakdown is presented. The algorithm is based on an AdaBoost scheme to combine multiple weak classifiers based on Laws’ texture energy filter responses. After a number of enhancements, the method has proved successful, while the execution times remain contained.

Colonoscopy is one of the best methods for screening colon cancer and still is the gold standard despite advancements in the field of virtual endoscopy based on computer-tomographic imaging. As the automatic detection of polyps in endoscopic images is a challenging task for image processing, a variety of research groups have proposed methods that try to fulfill this task to develop a system which supports the doctors during examination. However, the problem can still not be assumed to be solved. This paper provides a review of the state of the art in detection methods published within the last decade. We found out that the major drawback of many approaches is the lack of representative video data, which hinders comparison and evaluation of the published methods.