Modeling a mobile robot using a grammatical model

Virtual Worlds Generator is a grammatical model that is proposed to define virtual worlds. It integrates the diversity of sensors and interaction devices, multimodality and a virtual simulation system. Its grammar allows the definition and abstraction in symbols strings of the scenes of the virtual world, independently of the hardware that is used to represent the world or to interact with it. A case study is presented to explain how to use the proposed model to formalize a robot navigation system with multimodal perception and a hybrid control scheme of the robot.

A grammatical approach to the modeling of an autonomous robot

Virtual Worlds Generator is a grammatical model that is proposed to define virtual worlds. It integrates the diversity of sensors and interaction devices, multimodality and a virtual simulation system. Its grammar allows the definition and abstraction in symbols strings of the scenes of the virtual world, independently of the hardware that is used to represent the world or to interact with it. A case study is presented to explain how to use the proposed model to formalize a robot navigation system with multimodal perception and a hybrid control scheme of the robot. The result is an instance of the model grammar that implements the robotic system and is independent of the sensing devices used for perception and interaction. As a conclusion the Virtual Worlds Generator adds value in the simulation of virtual worlds since the definition can be done formally and independently of the peculiarities of the supporting devices.

Sistema de climatización por suelo radiante coalimentado por energías renovables

Se presenta el sistema de climatización basado en suelo radiante coalimentado por fuentes de energía renovables, que es capaz de proporcionar calor o frío. Se ha modelado una instalación genérica, que ha sido particularizada e integrada en una vivienda-laboratorio de unos 54m2. El sistema está compuesto por placas termo-solares, calentador eléctrico, bomba de calor aire-agua, acumuladores, circuito de suelo radiante y fancoil. El sistema de control está basado en un autómata que integra sensores y actuadores de diversas tecnologías que permiten monitorizar el sistema, visualizar y gestionar la instalación de forma remota y realizar un control minimizando el gasto energético. El sistema de control es reactivo en tiempo real por lo que cada vez que sucede algún cambio en el entorno se desencadenas las acciones oportunas.

Representation of 2D objects with a topology preserving network

Comunicación presentada en el 2nd International Workshop on Pattern Recognition in Information Systems, Alicante, April, 2002.

Hand gesture recognition based on morphologic features

Comunicación presentada en el IX Simposium Nacional de Reconocimiento de Formas y Análisis de Imágenes, Benicàssim, Mayo, 2001.

An evolutive approach for the delineation of local labour markets

This paper presents a new approach to the delineation of local labour markets based on evolutionary computation. The main objective is the regionalisation of a given territory into functional regions based on commuting flows. According to the relevant literature, such regions are defined so that (a) their boundaries are rarely crossed in daily journeys to work, and (b) a high degree of intra-area movement exists. This proposal merges municipalities into functional regions by maximizing a fitness function that measures aggregate intra-region interaction under constraints of inter-region separation and minimum size. Real results are presented based on the latest database from the Census of Population in the Region of Valencia. Comparison between the results obtained through the official method which currently is most widely used (that of British Travel-to-Work Areas) and those from our approach is also presented, showing important improvements in terms of both the number of different market areas identified that meet the statistical criteria and the degree of aggregate intra-market interaction.

An evolutionary approach to the delineation of functional areas based on travel-to-work flows

This paper presents a new approach to the delineation of local labor markets based on evolutionary computation. The aim of the exercise is the division of a given territory into functional regions based on travel-to-work flows. Such regions are defined so that a high degree of inter-regional separation and of intra-regional integration in both cases in terms of commuting flows is guaranteed. Additional requirements include the absence of overlap between delineated regions and the exhaustive coverage of the whole territory. The procedure is based on the maximization of a fitness function that measures aggregate intra-region interaction under constraints of inter-region separation and minimum size. In the experimentation stage, two variations of the fitness function are used, and the process is also applied as a final stage for the optimization of the results from one of the most successful existing methods, which are used by the British authorities for the delineation of travel-to-work areas (TTWAs). The empirical exercise is conducted using real data for a sufficiently large territory that is considered to be representative given the density and variety of travel-to-work patterns that it embraces. The paper includes the quantitative comparison with alternative traditional methods, the assessment of the performance of the set of operators which has been specifically designed to handle the regionalization problem and the evaluation of the convergence process. The robustness of the solutions, something crucial in a research and policy-making context, is also discussed in the paper.

A memetic algorithm for the delineation of local labour markets

Given a territory composed of basic geographical units, the delineation of local labour market areas (LLMAs) can be seen as a problem in which those units are grouped subject to multiple constraints. In previous research, standard genetic algorithms were not able to find valid solutions, and a specific evolutionary algorithm was developed. The inclusion of multiple ad hoc operators allowed the algorithm to find better solutions than those of a widely-used greedy method. However, the percentage of invalid solutions was still very high. In this paper we improve that evolutionary algorithm through the inclusion of (i) a reparation process, that allows every invalid individual to fulfil the constraints and contribute to the evolution, and (ii) a hillclimbing optimisation procedure for each generated individual by means of an appropriate reassignment of some of its constituent units. We compare the results of both techniques against the previous results and a greedy method.

Los mercados locales de trabajo españoles: una aplicación del nuevo procedimiento británico

Este trabajo se ha realizado en el marco del proyecto SEJ2007-67767-C04-02, financiado por el Ministerio de Ciencia e Innovación y FEDER.

Red de coordinación y seguimiento del primer curso del Grado en Ing. Sonido e Imagen en Telecomunicación (GISIT) de la Escuela Politécnica Superior

El profesorado de la red docente durante el curso 2011/12 ha realizado un proyecto coordinar las las asignaturas del primer curso del Grado en Ingeniería en Sonido e Imagen en Telecomunicación de la Escuela Politécnica Superior. Se ha realizado una puesta en común con los coordinadores de todos los cursos para realizar las recomendaciones de matriculación a los estudiantes que realizan su matricula a tiempo parcial o no superan cada curso todos los créditos matriculados. Se ha realizado un ajuste de los temarios con las asignaturas que comienzan su implantación en el siguiente curso y por otro lado una coordinación en la evaluación para eliminar las numerosas coincidencias de evaluaciones continuas, de diferentes actividades en cada semana.

Materiales y metodologías docentes en el EEES: informe general de primer curso de la titulación de Telecomunicación

La red docente durante el curso 2006/07 ha realizado un estudio en cuanto a materiales y metodologías docentes en las asignaturas de primer curso de Ingeniería Técnica de Telecomunicación, especialidad en Sonido e Imagen. Esta titulación es impartida en la Escuela Politécnica Superior de la Universidad de Alicante. Dicho estudio está encaminado a suplir las necesidades que marca el nuevo Marco Europeo de Aprendizaje. Se ha definido una ficha de la asignatura (cuyos contenidos y estructura se detallan) que permita al alumnado una visión directa y lo más concisa posible de las actividades que se desarrollarán en cada asignatura a lo largo de su periodo lectivo. El conjunto de estas fichas conformará la denominada Agenda del Estudiante, que fomentará la organización personal de cada alumno. La puesta en común de las experiencias y conocimientos de los diversos miembros de la red debe redundar en una mayor eficacia de la docencia. En este trabajo se incluyen las experiencias de las siete asignaturas implicadas en el proceso.

Grouping genetic operators for the delineation of functional areas based on spatial interaction

The delineation of functional economic areas, or market areas, is a problem of high practical relevance, since the delineation of functional sets such as economic areas in the US, Travel-to-Work Areas in the United Kingdom, and their counterparts in other OECD countries are the basis of many statistical operations and policy making decisions at local level. This is a combinatorial optimisation problem defined as the partition of a given set of indivisible spatial units (covering a territory) into regions characterised by being (a) self-contained and (b) cohesive, in terms of spatial interaction data (flows, relationships). Usually, each region must reach a minimum size and self-containment level, and must be continuous. Although these optimisation problems have been typically solved through greedy methods, a recent strand of the literature in this field has been concerned with the use of evolutionary algorithms with ad hoc operators. Although these algorithms have proved to be successful in improving the results of some of the more widely applied official procedures, they are so time consuming that cannot be applied directly to solve real-world problems. In this paper we propose a new set of group-based mutation operators, featuring general operations over disjoint groups, tailored to ensure that all the constraints are respected during the operation to improve efficiency. A comparative analysis of our results with those from previous approaches shows that the proposed algorithm systematically improves them in terms of both quality and processing time, something of crucial relevance since it allows dealing with most large, real-world problems in reasonable time.

Biblioteca Aritmética de operaciones en Tiempo Real para Números en Coma Flotante

Lenguaje de alto nivel utilizado: Java

Trajectory-Based Morphological Operators: A Model for Efficient Image Processing

Mathematical morphology has been an area of intensive research over the last few years. Although many remarkable advances have been achieved throughout these years, there is still a great interest in accelerating morphological operations in order for them to be implemented in real-time systems. In this work, we present a new model for computing mathematical morphology operations, the so-called morphological trajectory model (MTM), in which a morphological filter will be divided into a sequence of basic operations. Then, a trajectory-based morphological operation (such as dilation, and erosion) is defined as the set of points resulting from the ordered application of the instant basic operations. The MTM approach allows working with different structuring elements, such as disks, and from the experiments, it can be extracted that our method is independent of the structuring element size and can be easily applied to industrial systems and high-resolution images.

Real time motion estimation using a neural architecture implemented on GPUs

This work describes a neural network based architecture that represents and estimates object motion in videos. This architecture addresses multiple computer vision tasks such as image segmentation, object representation or characterization, motion analysis and tracking. The use of a neural network architecture allows for the simultaneous estimation of global and local motion and the representation of deformable objects. This architecture also avoids the problem of finding corresponding features while tracking moving objects. Due to the parallel nature of neural networks, the architecture has been implemented on GPUs that allows the system to meet a set of requirements such as: time constraints management, robustness, high processing speed and re-configurability. Experiments are presented that demonstrate the validity of our architecture to solve problems of mobile agents tracking and motion analysis.