7 resultados para Socio-Environmental image
em Universidad Politécnica de Madrid
Resumo:
Ante la cuestión ¿La universidad debe amoldarse a la realidad ambiental o debe precursar nuevas realidades? se propone demostrar la factibilidad de alcanzar aproximaciones objetivables hacia el desarrollo sostenible, mediante la cooperación universitaria transfronteriza en ambientes urbanos insulares y costeros de la subregión del Caribe y Centroamérica. Se desarrolla el estudio en cuatro momentos: momento proyectivo en el cual se delimita el problema y se contextualiza su significación en el plano teórico de las sub-áreas implicadas. Fue reconocida la existencia de un problema social que, más allá de significar una actuación negativa intencional humana, revela una insuficiencia en el aprovechamiento de un potencial conocido y estratégico cuyos síntomas suelen ser: crisis ambiental generalizada; poca capacidad de respuesta por parte de las universidades ante las exigencias del desarrollo sostenible; incipientes estrategias de cooperación interinstitucional con refuerzo negativo en la atomización de esfuerzos materiales y comunicacionales. Se contrastaron enfoques y se adoptó una postura ante un hecho determinante: La universidad como articulador del desarrollo sostenible; hecho concretado en un objeto investigable: la cooperación universitaria como estrategia aún no focalizada en acercamientos al desarrollo sostenible. En la estrategia de abordaje de la investigación, la gestión fue considerada hipótesis de trabajo no positivista, generando en consecuencia la aplicación de adaptaciones a metodologías reconocidas, contextualizadas dentro de una particular visión sobre del hecho investigado. En el momento metodológico se describe el diseño concreto y los procedimientos de abordaje del problema en todas sus fases. En el momento técnico, fueron aplicados instrumentos y técnicas para obtener los datos diagnósticos e iniciar el diseño de un modelo de cooperación universitaria para el desarrollo sostenible. El diagnóstico se basó en estrategias cuali-cuantitativas que permitieron el análisis de resultados en la aplicación de encuestas, entrevistas a expertos, análisis prospectivo estructural, situacional e integrado. La construcción del modelo se desarrolló con fundamento en experiencias de cooperación previas, adoptando modelos de gestión de relevante alcance científico como referencias de aplicación. Se trata de una investigación socio-ambiental cuyo objeto de estudio la identifica como no experimental, aplicada; basada en el análisis descriptivo de datos cualicuantitativos, conducidos en un diseño de campo devenido finalmente en un proyecto factible. La información se recolectada por observación de campo, aplicación de instrumentos y dinámicas inspiradas en grupos de enfoque a escala local y nacional; con sujetos pertenecientes al sistema de educación universitaria e instancias gubernamentales y sociales propias del ámbito seleccionado. Conduce el estudio a la presentación del modelo MOP-GECUDES, descrito en cuanto a sus dimensiones, variables, estrategias; con 166 indicadores clasificados en 49 categorías, expresados en metas. Se presenta en 24 procedimientos, apoyados en 47 instrumentos específicos consistentes en aplicaciones prácticas, hojas metodológicas o manual de instrucciones para la operacionalización del modelo. Se complementa el diseño con un sistema de procedimientos surgidos de la propia experiencia, lo que le atribuye el modelo diseñado el rasgo particular de haber sido diseñado bajo sus propios principios. Faced with the question: Does the college must conform to the environmental reality or has to should promote new realities? This research aims to demonstrate the feasibility of achieving objectifiable approaches towards sustainable development through cross-border university cooperation in urban, coastal and islands space" of Caribbean and Central American. This study is developed in four stages: projective moment, in which delimits the problem, and contextualizes its importance in their theoretical subareas. It was recognized that there is a social problem, that beyond an intentional human action negative, reveals a deficience ability in exploiting potential strategic known and whose symptoms are: widespread environmental crisis, poor ability to answer on the part of universities to the demands of sustainable development; emerging interagency cooperation strategies with the aggravating fragmentation of resources. Were contrasted Approaches and was been adopted a stance before a triggering event: The university as articulator of sustainable development. Fact materialized in a study object: university cooperation as a strategy that yet has not been focused on approaches to sustainable development. In research approach, the management was considered as a working-hypothesis not positivist, consequently, were applied adjustments recognized methodologies that were contextualized within the author's personal view on the matter under investigation. En el momento metodológico se describe el diseño concreto y los procedimientos de abordaje del problema en todas sus fases. At the methodological time, describes the design and procedures to address the problem in all its phases. At the technical time, were applied tools directed to obtain diagnostic data and start designing a model of university cooperation for sustainable development. The diagnosis was based on qualitative and quantitative strategies that allowed the analysis of findings in the surveys, expert interviews, prospective analysis, and structural situational and integrated. Construction of the model was developed on the basis of cooperation experiences of the author, adopting management models relevant scientific scope and application references. It is a socio-environmental research with a not-experimental focus of study, applied, based on the descriptive analysis of qualitative and quantitative data, conducted in a field design that finally was been become a feasible project. The information is collected by field observation, application of instruments inspired in dynamic focus groups at local and national levels, with individual-subjects of the university education system; the government bodies and the social groups of the selected area. The Study leads to the presentation of the model MOP-GECUDES, described in terms of their dimensions, variables, strategies; with 166 indicators classified in 49 categories, expressed in its activities and goals. It comes in 24 procedures, supported by 47 specific instruments consisting of practical applications, methodology sheets or instructions for the operationalization of the model. Design is complemented with a system of procedures arising from the own experience. This have the particular attribute of generate a model than has been designed under its own principles.
Resumo:
Population growth, economic globalization, improving living standards and urbanization are causing important changes in the global food system and modifying the dietary habits in many parts of the world (Molden, 2007; Godfray et al., 2010). The nutritional transition (linked to the development of countries and the increasing wealth of its population) implies a shift away from traditional staple food such as roots and tuber vegetables and a rise in consumption of meat and milk products, refined and processed foods, as well as sugars, oils and fats (Ambler-Edwards et al., 2009). The contemporary food system puts significant pressure on natural resources, especially on land and water, because the growing food demand pushes the agricultural frontier beyond, causing large impacts on ecosystems (Ambler-Edwards et al. 2009: 11-18). Also, the trend towards richer diets in animal proteins and processed food adds further pressure on the environment, since it requires larger amount of water and land to be produced (Allan, 2011; Mekonnen and Hoekstra, 2012).
Resumo:
Monument conservation is related to the interaction between the original petrological parameters of the rock and external factors in the area where the building is sited, such as weather conditions, pollution, and so on. Depending on the environmental conditions and the characteristics of the materials used, different types of weathering predominate. In all, the appearance of surface crusts constitutes a first stage, whose origin can often be traced to the properties of the material itself. In the present study, different colours of “patinas” were distinguished by defining the threshold levels of greys associated with “pathology” in the histogram. These data were compared to background information and other parameters, such as mineralogical composition, porosity, and so on, as well as other visual signs of deterioration. The result is a map of the pathologies associated with “cover films” on monuments, which generate images by relating colour characteristics to desired properties or zones of interest.
Resumo:
Mining in the Iberian Pyrite Belt (IPB), the biggest VMS metallogenetic province known in the world to date, has to face a deep crisis in spite of the huge reserves still known after ≈5 000 years of production. This is due to several factors, as the difficult processing of complex Cu-Pb-Zn-Ag- Au ores, the exhaustion of the oxidation zone orebodies (the richest for gold, in gossan), the scarce demand for sulphuric acid in the world market, and harder environmental regulations. Of these factors, only the first and the last mentioned can be addressed by local ore geologists. A reactivation of mining can therefore only be achieved by an improved and more efficient ore processing, under the constraint of strict environmental controls. Digital image analysis of the ores, coupled to reflected light microscopy, provides a quantified and reliable mineralogical and textural characterization of the ores. The automation of the procedure for the first time furnishes the process engineers with real-time information, to improve the process and to preclude or control pollution; it can be applied to metallurgical tailings as well. This is shown by some examples of the IPB.
Resumo:
Industrial applications of computer vision sometimes require detection of atypical objects that occur as small groups of pixels in digital images. These objects are difficult to single out because they are small and randomly distributed. In this work we propose an image segmentation method using the novel Ant System-based Clustering Algorithm (ASCA). ASCA models the foraging behaviour of ants, which move through the data space searching for high data-density regions, and leave pheromone trails on their path. The pheromone map is used to identify the exact number of clusters, and assign the pixels to these clusters using the pheromone gradient. We applied ASCA to detection of microcalcifications in digital mammograms and compared its performance with state-of-the-art clustering algorithms such as 1D Self-Organizing Map, k-Means, Fuzzy c-Means and Possibilistic Fuzzy c-Means. The main advantage of ASCA is that the number of clusters needs not to be known a priori. The experimental results show that ASCA is more efficient than the other algorithms in detecting small clusters of atypical data.
Resumo:
In the framework ofthe National Research Plan2008-2011, our research poses estrategy for the design and evaluation of plans and programmes of urban integrated regeneration. The objective is to develop a study on the role of rehabilitation of buildings in concepts like urban integration, social cohesion and environmental responsibility. The research proposes a methodological tool for evaluating urban regeneration processes from a holistic perspective that can serve as a guide for governments and technical teams to address intervention in consolidated urban areas with physical and socio-economic problems. The development of the tool has inevitably led to delve into different areas where you can intervene but has not lost sight of the complex interplay of factors involved in the process.It is an open source tool to visualize Urban Integrated Rehabilitation processes.
Resumo:
The new generation of artificial satellites is providing a huge amount of Earth observation images whose exploitation can report invaluable benefits, both economical and environmental. However, only a small fraction of this data volume has been analyzed, mainly due to the large human resources needed for that task. In this sense, the development of unsupervised methodologies for the analysis of these images is a priority. In this work, a new unsupervised segmentation algorithm for satellite images is proposed. This algorithm is based on the rough-set theory, and it is inspired by a previous segmentation algorithm defined in the RGB color domain. The main contributions of the new algorithm are: (i) extending the original algorithm to four spectral bands; (ii) the concept of the superpixel is used in order to define the neighborhood similarity of a pixel adapted to the local characteristics of each image; (iii) and two new region merged strategies are proposed and evaluated in order to establish the final number of regions in the segmented image. The experimental results show that the proposed approach improves the results provided by the original method when both are applied to satellite images with different spectral and spatial resolutions.