Identification of technological districts: the case of Spain

Paper submitted to the 51st European Congress of the Regional Science Association International, 37th Spanish Regional Science Association Conference, Barcelona, August 30-September 3, 2011.

Prevalence of exposure to occupational risks during preganancy in Spain

Objectives. We describe reported exposures to main categories of occupational agents and conditions in Spanish pregnant workers. Methods. Women were recruited at 12th week of pregnancy from main public gynaecological consults to be included in the INMA Spanish cohorts study (n = 2,058). Through personal interviews with structured questionnaires, information on working situation and working conditions during pregnancy was obtained. Results. Fifty percent of the women reported frequent exposure to physical load (standing, heavy lifting) and 45 % reported exposure to three or more indicators of job strain. Exposure to at least one physical agent (noise, vibrations, etc.) affected 25 % of the women. Exposure to chemicals was reported by 20 % of the women, mostly including solvents and cleaning products. Eight percent of the women worked at night shifts. Job strain was more prevalent in office workers and industrial operators. Industrial workers showed the highest prevalence of exposure to chemical and physical pollutants. Conclusions. Our data suggest that working conditions of pregnant women may need increased control in Spain.

Breaking the silence ceiling: how gender violence became into a social problem in Spain through media and politics

This research presents the explanatory model of the process of reconstruction of the ʺsocial problemʺ of Intimate Partner Violence (I.P.V) in Spain during last five years, with special attention to the role of media in this process. Using a content analysis of the three more diffused general newspapers, a content analysis of the minutes of the Parliament, and the statistics of the police reports and murders, from January of 1997 to December of 2001, it observes the relationship between the evolution of the incidence of Intimate Partner Violence (I.P.V) (measured by the number of deaths and the number of police reports) and the evolution of stories about this topic in press. It also studies the interconnection of the two previous variables with the political answer to the problem (measured by the interventions on the I.P.V. in the Senate and in the Congress). Data shows that, even though police reports have increased due to the contribution of politics and media, I.P.V murders keep on growing up.

Construcción, reconstrucción y consolidación del desaparecido Grupo Escolar “Francisco Giner de los Ríos” de Alicante (España)

La demolición del Grupo Escolar “Francisco Giner de los Ríos” supuso una pérdida incuestionable para la ciudad de Alicante (España), desapareciendo uno de los más relevantes ejemplos racionalistas, símbolo de modernidad y del desarrollo que en materia de enseñanza significó en la ciudad el “Plan de Construcción de Escuelas y Ordenación Escolar” de 1931. Con el fin de contribuir a subsanar el vacío documental que antecedió su demolición, el presente artículo muestra los resultados del estudio de las fases determinantes de la historia del edificio: proyecto (1933), construcción (1934-1935), reconstrucción y consolidación (1943-1944). Se concluyen las causas que originaron la ruina del inmueble, el alcance y magnitud de los daños y las avanzadas técnicas empleadas en su recuperación, prestando especial interés a las intervenciones de cimentación y consolidación del terreno, pilotajes e inyecciones de cemento, prácticas de relevancia internacional en el periodo de posguerra en España y Segunda Guerra Mundial.

A study of a soft computing based method for 3D scenario reconstruction

Several recent works deal with 3D data in mobile robotic problems, e.g., mapping. Data comes from any kind of sensor (time of flight, Kinect or 3D lasers) that provide a huge amount of unorganized 3D data. In this paper we detail an efficient approach to build complete 3D models using a soft computing method, the Growing Neural Gas (GNG). As neural models deal easily with noise, imprecision, uncertainty or partial data, GNG provides better results than other approaches. The GNG obtained is then applied to a sequence. We present a comprehensive study on GNG parameters to ensure the best result at the lowest time cost. From this GNG structure, we propose to calculate planar patches and thus obtaining a fast method to compute the movement performed by a mobile robot by means of a 3D models registration algorithm. Final results of 3D mapping are also shown.

GPGPU implementation of growing neural gas: application to 3D scene reconstruction

Self-organising neural models have the ability to provide a good representation of the input space. In particular the Growing Neural Gas (GNG) is a suitable model because of its flexibility, rapid adaptation and excellent quality of representation. However, this type of learning is time-consuming, especially for high-dimensional input data. Since real applications often work under time constraints, it is necessary to adapt the learning process in order to complete it in a predefined time. This paper proposes a Graphics Processing Unit (GPU) parallel implementation of the GNG with Compute Unified Device Architecture (CUDA). In contrast to existing algorithms, the proposed GPU implementation allows the acceleration of the learning process keeping a good quality of representation. Comparative experiments using iterative, parallel and hybrid implementations are carried out to demonstrate the effectiveness of CUDA implementation. The results show that GNG learning with the proposed implementation achieves a speed-up of 6× compared with the single-threaded CPU implementation. GPU implementation has also been applied to a real application with time constraints: acceleration of 3D scene reconstruction for egomotion, in order to validate the proposal.

Adiestrando a la juventud obrera: la política de formación técnica-industrial de la dictadura primorriverista

El objetivo de este trabajo es analizar cómo la dictadura de Primo de Rivera llevó a cabo la reforma de la enseñanza industrial del joven obrero a través del Estatuto de Enseñanza Industrial de 1924 y del Estatuto de Formación Profesional de 1928, dentro de la órbita ideológica del “modernismo reaccionario”. La dictadura primorriverista se encontraba en una época influida por las consecuencias de la Gran Guerra y empezaba a percibir la formación profesional técnica-industrial como un mecanismo de adoctrinamiento de la juventud obrera, a partir del cual se podía construir una identidad nacional y profesional, a la vez que modernizar la industria nacional. Por ello, la dictadura de Primo de Rivera decidió centralizar todos los canales de formación industrial del joven obrero a través de un nuevo plan de estudios técnico e industrial dentro de las escuelas industriales y de trabajo. Así intentaba controlar al movimiento obrero, formar una clase media de técnicos industriales, satisfacer las necesidades económicas del país, al mismo tiempo que mantener la jerarquización socio-política tradicional. Pero la aplicación de este proyecto educativo durante la Segunda República no cumplió con las expectativas ideológicas y políticas de la dictadura de Primo de Rivera.

Muro Mediterráneo versus movimiento moderno

Una década antes de que fuera construido el Muro Atlántico fue ejecutado un sistema de defensas a lo largo de la costa del Mediterráneo español (1936-39). La recuperación de estas construcciones (de sus documentos gráficos) y su puesta en valor pueden ayudar a consolidar una memoria propia del siglo XX. Este trabajo consiste en inventariar, medir y dibujar los planos de estas arquitecturas a fin de fijar la memoria que se diluye por la erosión del tiempo. Estas defensas militares se sitúan en muchas fronteras: ¿son propiamente arquitectura o piezas industriales? ¿Son arquitectura moderna? Estas transitan entre dos mundos: uno que proyecta arquitecturas ligeras, flexibles y con caducidad frente a otro que construye obras compactas, rígidas y eternas. También se mueven por dos épocas: una que perpetúa las hazañas épicas frente a otras que muestra los desastres. Espacio, tiempo y materia. Son las ruinas de hormigón más modernas de nuestra historia que se encuentran camufladas en la topografía: templos y tumbas a la vez. En esta reconstrucción de la memoria, resulta crucial la restitución gráfica que es donde comienza el conocimiento.

3D-based reconstruction using growing neural gas landmark: application to rapid prototyping in shoe last manufacturing

Customizing shoe manufacturing is one of the great challenges in the footwear industry. It is a production model change where design adopts not only the main role, but also the main bottleneck. It is therefore necessary to accelerate this process by improving the accuracy of current methods. Rapid prototyping techniques are based on the reuse of manufactured footwear lasts so that they can be modified with CAD systems leading rapidly to new shoe models. In this work, we present a shoe last fast reconstruction method that fits current design and manufacturing processes. The method is based on the scanning of shoe last obtaining sections and establishing a fixed number of landmarks onto those sections to reconstruct the shoe last 3D surface. Automated landmark extraction is accomplished through the use of the self-organizing network, the growing neural gas (GNG), which is able to topographically map the low dimensionality of the network to the high dimensionality of the contour manifold without requiring a priori knowledge of the input space structure. Moreover, our GNG landmark method is tolerant to noise and eliminates outliers. Our method accelerates up to 12 times the surface reconstruction and filtering processes used by the current shoe last design software. The proposed method offers higher accuracy compared with methods with similar efficiency as voxel grid.

A methodology for evacuation route planning inside buildings using geospatial technology

Evacuation route planning is a fundamental task for building engineering projects. Safety regulations are established so that all occupants are driven on time out of a building to a secure place when faced with an emergency situation. As an example, Spanish building code requires the planning of evacuation routes on large and, usually, public buildings. Engineers often plan these routes on single building projects, repeatedly assigning clusters of rooms to each emergency exit in a trial-and-error process. But problems may arise for a building complex where distribution and use changes make visual analysis cumbersome and sometimes unfeasible. This problem could be solved by using well-known spatial analysis techniques, implemented as a specialized software able to partially emulate engineer reasoning. In this paper we propose and test an easily reproducible methodology that makes use of free and open source software components for solving a case study. We ran a complete test on a building floor at the University of Alicante (Spain). This institution offers a web service (WFS) that allows retrieval of 2D geometries from any building within its campus. We demonstrate how geospatial technologies and computational geometry algorithms can be used for automating the creation and optimization of evacuation routes. In our case study, the engineers’ task is to verify that the load capacity of each emergency exit does not exceed the standards specified by Spain’s current regulations. Using Dijkstra’s algorithm, we obtain the shortest paths from every room to the most appropriate emergency exit. Once these paths are calculated, engineers can run simulations and validate, based on path statistics, different cluster configurations. Techniques and tools applied in this research would be helpful in the design and risk management phases of any complex building project.

3D reconstruction of medical images from slices automatically landmarked with growing neural models

In this study, we utilise a novel approach to segment out the ventricular system in a series of high resolution T1-weighted MR images. We present a brain ventricles fast reconstruction method. The method is based on the processing of brain sections and establishing a fixed number of landmarks onto those sections to reconstruct the ventricles 3D surface. Automated landmark extraction is accomplished through the use of the self-organising network, the growing neural gas (GNG), which is able to topographically map the low dimensionality of the network to the high dimensionality of the contour manifold without requiring a priori knowledge of the input space structure. Moreover, our GNG landmark method is tolerant to noise and eliminates outliers. Our method accelerates the classical surface reconstruction and filtering processes. The proposed method offers higher accuracy compared to methods with similar efficiency as Voxel Grid.

Paleogene-Aquitanian Tectonic Breakup in the Eastern External Betic Zone (Alicante, SE Spain)

Six Paleogene-Aquitanian successions have been reconstructed in the Alicante area (eastern External Betic Zone). The lithofacies association evidences “catastrophic” syn-sedimentary tectonic processes consisting of slumps, mega-olisthostromes, “pillow-beds” and turbiditic deposits. This kind of sedimentation is related to unconformity surfaces delimiting sequence and para-sequence cycles in the stratigraphic record. The data compiled have enabled the reconstruction of the Paleogene-Aquitanian paleogeographic and geodynamic evolution of this sector of the External Betics. During the Eocene the sedimentary basin is interpreted as a narrow trough affected by (growth) folding related to blind thrust faulting with a source area from the north-western margin, while the southeastern margin remained inactive. During the Oligocene-Aquitanian, the sourcing margin becames the southeastern margin of the basin affected by a catastrophic tectonic. The activity of the margins is identified from specific sediment source areas for the platform-slope-trough system and from tectofacies analysis. The southeastern South Iberian Margin is thought to be closer to the Internal Betic Zone, which was tectonically pushing towards the South Iberian Margin. This pushing could generate a lateral progressive elimination of subbetic paleogeographic domains in the eastern Betics. This geodynamic frame could explain the development of such “catastrophic” tectono-sedimentary processes during the Late Oligocene-Early Miocene.

X lberoamerican Conference on Phase Equilibria and Fluid Properties for Process Design (EQUIFASE): June 28-July 1, 2015 - Alicante (Spain): Book of Abstracts

The general purpose of the EQUIFASE Conference is to promote the Scientific and Technologic exchange between people from both the academic and the industrial environment in the field of Phase Equilibria and Thermodynamic Properties for the Design of Chemical Processes. Topics: Measurement of Thermodynamic Properties. Phase Equilibria and Chemical Equilibria. Theory and Modelling. Alternative Solvents. Supercritical Fluids. Ionic Liquids. Energy. Gas and oil. Petrochemicals. Environment and sustainability. Biomolecules and Biotechnology. Product and Process Design. Databases and Software. Education.

3D model reconstruction using neural gas accelerated on GPU

In this work, we propose the use of the neural gas (NG), a neural network that uses an unsupervised Competitive Hebbian Learning (CHL) rule, to develop a reverse engineering process. This is a simple and accurate method to reconstruct objects from point clouds obtained from multiple overlapping views using low-cost sensors. In contrast to other methods that may need several stages that include downsampling, noise filtering and many other tasks, the NG automatically obtains the 3D model of the scanned objects. To demonstrate the validity of our proposal we tested our method with several models and performed a study of the neural network parameterization computing the quality of representation and also comparing results with other neural methods like growing neural gas and Kohonen maps or classical methods like Voxel Grid. We also reconstructed models acquired by low cost sensors that can be used in virtual and augmented reality environments for redesign or manipulation purposes. Since the NG algorithm has a strong computational cost we propose its acceleration. We have redesigned and implemented the NG learning algorithm to fit it onto Graphics Processing Units using CUDA. A speed-up of 180× faster is obtained compared to the sequential CPU version.

Construction of 17-19th century domes in the province of Alicante (Spain): the case of San Juan Bautista in Cox

From the late seventeenth to early nineteenth centuries, many religious temples have been built in the province of Alicante (south east of Spain) with brick domes as their main characteristic feature. Often, the limited data available about these remarkable constructions make rehabilitation interventions become into real research projects, with a high value for their historic conservation over time. The aim of this paper is to show a detailed refurbishment analysis of a religious temple built in 1778, showing the need of preservation of historic buildings as a part of the architectural heritage by establishing a common pattern of materials, geometry and constructive systems, specifically in their domes. In most cases, there was not an architectural project for the construction, that is why the analysis of any documentary and archival sources available is essential to find different ways to proceed on the use and maintenance of these religious buildings.