1,720,968 research outputs found

    Assessment of coastal erosion susceptibility at the national scale: The Italian case

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    To improve the present national and local sustainable planning capability for the coastal zone a GI application for the Italian Coastal Susceptibility Assessment was planned within an institutional agreement between ENEA and the Land Defence Service of the Italian Ministry of Environment. Taking into account previous European actions a suitable methodology to assess, in a quantitative way, the susceptibilty of beaches to be eroded has been set up. The methodology balances the coastline trend as evaluated for a defined time period with the present coastal areas morphology and land use, this in order to derive a value that expresses the evolutionary process in terms of probability of the loss of goods within the 'Homogeneous Coastal Tracts'. The trend in the movement of the sea-land line has been used as geo-indicator of a complex dynamic balance that refers both to marine and inland systems, and a vector GI application was built and locally applied in southern Italian coastal areas. The present shoreline position and some other information describing the intrinsic beach morphologies, and having significance for the coastal erosion hazard assessment, have been derived from the national 1:10.000 ortho-images of the National Cartographic Reference System provided by the Italian Ministry of Environment. The illustrated GI application - CoSTAT - keeps the nominal scale of all data collected or produced. In this analysis the coastal dune presence is analysed as factor limiting coastal erosion susceptibility. Applying a matrix calculation a quantitative evaluation of erosion susceptibility degree was achieved and plans were made to develop new information for a suitable use of Italian coastal areas. The work describes the methodology, the conceptual framework and the results of a local application

    BATHIMETRIC EVOLUTION ANALYSIS OF "COMACCHIO WATLAND" BY IRF-K CO-REGIONALIZATION

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    The "Valli di Comacchio" are a vast Italian wetland which has been declared a protected natural reserve. The behaviour of its bed was measured by means of two heterotopic sampling campaigns conducted 20 years apart. The order of magnitude of the changes in bed features which must be taken into account if one wants to foresee and prevent irreversible upsets in natural balances is of only a few centimeters and, in order to achieve such a degree of precision, a FAI-k co-regionalization study was carried out. The purpose was to estimate, by means of direct FAI-k cokriging, the variations of the bed at the nodes of a grid. The study explains why such a procedure isnecessary if estimation variance is to be calculated coherently through the combination of FAI-k krigings that pertain to different but correlated variables, such as those involved in bed changes; covariances, moreover, have to be used to solve the problems raised by the heterotopic sampling. After the discussion and review of the results, the study discusses the operativeness of the FAI-k cokriging tool

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    A new collaborative model for a holistic and sustainable metropolitan planning

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    The purpose of our contribution is to provide insight into an innovative, shared and transferable model to assist the evolution and sustainable planning of an urban-industrial metropolitan area through a bottom-up involvement of the industrial community and local stakeholders. The presence of industrial urban districts has become a typical feature in Italy as a result of urban spreading. The presence of SMEs in urban ecosystems is a new fundamental opportunity for the design and planning of spaces as well as for the planning of smart energy systems and life quality in the cities. We tested this approach in Roveri, a historical industrial district in transition located within the urban boundary of Bologna. This paper describes the first results obtained with a number of tools and actions aimed at making the community and stakeholders conscious of the district’s potential and to enable them to lead its development

    Advanced methodologies for modelling in GIS: The recent evolution of Comacchio wetland

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    The results of a study on the recent evolution of the “Comacchio wetland” are presented. Natural and human subsidence till now involving this area near the Po delta region (Northern Italy), that has been locally and timely reclaimed. Last drainage dated the year 1960. The land altimetrical variations in the last preserved salt water basin has been observed with reference to data collected in different times. This phenomenon has been caused by complex factors, not yet characterized: therefore it has been studied integrating geostatistical methodologies and GIS spatial analysis tools. Geostatistical models of spatial variability have been identified and their evolution through the time analysed. Also the modeling of altimetrical variation over the time interval considered (20 last years) has been spatially modeled. The approach of IRF-k theory was adopted., integrated with “external drift” based on knowledge of relevant morphological elements

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    NLCMAP: A FRAMEWORK FOR THE EFFICIENT MAPPING OF NON-LINEAR CONVOLUTIONAL NEURAL NETWORKS ON FPGA ACCELERATORS

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    This paper introduces NLCMap, a framework for the mapping space exploration targeting Non-Linear Convolutional Networks (NLCNs). NLCNs [1] are a novel neural network model that improves performances in certain computer vision applications by introducing a non-linearity in the weights computation. NLCNs are more challenging to efficiently map onto hardware accelerators if compared to traditional Convolutional Neural Networks (CNNs), due to data dependencies and additional computations. To this aim, we propose NLCMap, a framework that, given an NLC layer and a generic hardware accelerator with a certain on-chip memory budget, finds the optimal mapping that minimizes the accesses to the off-chip memory, which are often the critical aspect in CNNs acceleration
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