1,722,718 research outputs found
Abitare il dialogo.Società e culture dell'amicizia nel Mediterraneo
Risposta a quanti vanno profetizzando imminenti ‘scontri di civiltà’, l’esperienza del dialogo interculturale ed interreligioso, in controtendenza, si prospetta come la strada privilegiata per governare il pluralismo che ormai caratterizza la società europea. In tal senso il Mediterraneo, da sempre laboratorio di fecondi e complessi intrecci culturali, è – per eredità storica e per collocazione geografica – la naturale cornice dell’incontro fra esperienze religiose diverse.
Il dialogo interreligioso, che nel testo emerge in tutta la sua complessità, obbliga a ripensare politiche culturali ed educative che tengano conto dei cambiamenti in atto nella società europea, raccogliendo altresì l’eredità dello scenario mediterraneo. L’Università si presenta come luogo di sperimentazione di una prassi dialogica, autentica sfida per le nuove generazioni.
Da tale prospettiva nasce la necessità di far dialogare saperi diversi, ma soprattutto si fa viva l’urgenza di mettere in relazione il piano della riflessione teorica con quello del racconto esperienziale, dando così piena voce alla fatica e alla bellezza dell’incontro con l’altro.
I saggi riportati nel volume, risultato del ciclo di Seminari internazionali “Dialoghi religiosi e culturali nel Mediterraneo”, promossi dal Laboratorio sul “Pluralismo culturale” (PLUC) privilegiano, come soggetti del dialogo, studiosi di rilevanza internazionale cristiani, ebrei e musulmani; una particolare attenzione è dedicata al mondo islamic
Going Beyond Counting First Authors in Author Co-citation Analysis
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
Variations on the Author
“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
Smartphone and low-cost sensors systems for geospatial data acquisition in terrestrial and water scenarios and processing methods
Il documento finale “The future we want” e l’Agenda 2030 per lo Sviluppo Sostenibile riconoscono l’importanza dei dati geospaziali in quanto elementi di supporto per il raggiungimento dello sviluppo sostenibile. I dati geospaziali supportano la definizione di politiche, programmi e progetti dedicati allo sviluppo sostenibile fornendo informazioni per la pianificazione, la valutazione, il monitoraggio e la previsione. Purtroppo, la raccolta di dati geospaziali su scala locale in situ è un’operazione spesso costosa a causa della strumentazione da utilizzare, del personale specializzato impiegato nelle operazioni di rilievo e della logistica coinvolta. L’aspetto economico può rappresentare un problema per i Paesi più vulnerabili che da una parte hanno necessità di dati su scala locale per sostenere i propri progetti di sviluppo sostenibile ma dall’altra hanno un problema di scarsità di dati e di “digitale divide” rispetto ai paesi più sviluppati. Inoltre, il fattore economico può rappresentare un ostacolo anche alla creazione di progetti di citizen science utili per il raggiungimento dello sviluppo sostenibile secondo i principi dell’inclusività, della trasparenza e della partecipazione.
Sulla base di queste osservazioni, per il lavoro di tesi, è stato realizzato un progetto di ricerca dedicato allo studio di smartphone, tablet e sensori low-cost esterni (interfacciabili con dispositivi mobili) per l’acquisizione di dati geospaziali a basso costo in ambienti terrestri e acquatici. Il progetto di ricerca si è composto di quattro parti i cui obbiettivi principali sono stati: valutazione del posizionamento tramite Global Navigation Satellite System (GNSS) con smartphones; valutazione dei sensori di profondità integrati sui dispositivi mobili; implementazione di un sistema sonar low-cost basato sugli smartphones per la raccolta di dati batimetrici e sviluppo di un metodo di modellazione per la successiva ricostruzione 3D dei dati raccolti; infine studio della GNSS-aided photogrammetry implementata attraverso smartphones e sensori low-cost.
In particolare, nella prima parte del progetto di ricerca, attraverso un metodo di analisi statistica potenzialmente applicabile a tutti i dispositivi Android dotati di un ricevitore GNSS integrato, è stata valutata la qualità del posizionamento GNSS in post-processing con sole misure di pseudorange degli smartphone Android.
Nella seconda parte del progetto di ricerca, sono state valutate le performance dei sensori di profondità dei dispositivi mobili Android e Apple attraverso l’analisi delle nuvole di punti da essi prodotte usando sia metodi visivi (analisi delle sezioni della nuvola di punti) che descrittori matematici (eigenfeatures: planarity, omnivariance e surface variation).
Nella terza parte del progetto di ricerca, è stato implementato un sistema sonar formato da sensori low-cost chiamato GNSS > Sonar > Phone System (G > S > P Sys) capace di raccogliere dati batimetrici in acque poco profonde ed è stato sviluppato un metodo per la modellazione 3D dei dati batimetrici raccolti basato sulla mappatura attraverso un metodo di machine learning.
Nella quarta parte del progetto di ricerca, è stata studiata la GNSS-aided photogrammetry attraverso video per la produzione di nuvole di punti e modelli 3D mesh automaticamente scalati e georeferenziati. La GNSS-aided photogrammetry è stata implementata utilizzando lo smartphone e alcuni sensori low-cost considerando due sistemi e tre approcci diversi.
Infine, osservando i risultati ottenuti si può dedurre che l’uso di smartphone e tablet per l’acquisizione di dati geospaziali di buona e alta qualità è possibile solo individuando il metodo più idoneo per il posizionamento dei dispositivi. In base alle applicazioni sperimentate nel progetto di ricerca, il problema del posizionamento dei dispositivi mobili è stato risolto tramite un ricevitore GNSS esterno low-cost per smartphone. Ciò non esclude la possibilità di altri metodi di posizionamento da esplorare in ricerche future.The outcome document “The future we want” and the 2030 Agenda for Sustainable Development recognise the importance of geospatial data as an supporting elements for achieving the sustainable development. Geospatial data support the definition of policies, programmes and projects dedicated to sustainable development by providing information for planning, assessment, monitoring and forecasting. Sadly, the collection of geospatial data on a local scale in situ is often an expensive operation due to the instruments to be used, the specialised staff employed in the survey operations and the logistics involved. The economic side can be a problem for the most vulnerable nations, that on the one hand need data on a local scale to support their sustainable development projects, but on the other hand have problems of data scarcity and a “digital divide” compared to more developed nations. Furthermore, the economic side can be an obstacle for the creation of citizen science projects useful for the achievement of sustainable development according to the principles of inclusiveness, transparency and participation.
Based on these observations, a research project dedicated to the study of smartphones, tablets and low-cost external sensors (which can be interfaced with mobile devices) for cost-effective geospatial data acquisition in terrestrial and water environments was realised for the thesis work. The research project consisted of four parts, the principal aims of which were: evaluation of smartphones Global Navigation Satellite System (GNSS) positioning; evaluation of depth sensors integrated on mobile devices; implementation of a low-cost sonar system based on smartphones for collecting bathymetric data and development of a modelling method for the subsequent 3D reconstruction of the collected data; and finally, study of GNSS-aided photogrammetry via smartphones and low-cost sensors.
In particular, in the first part of the research project, through a statistical analysis method potentially applicable to all Android devices with an integrated GNSS receiver, the quality of GNSS positioning in post-processing with only pseudorange measurements of Android smartphones was evaluated.
In the second part of the research project, the performances of the depth sensors of Android and Apple mobile devices were evaluated by analysing the point clouds produced by them using both visual methods (analysis of point cloud sections) and mathematical descriptors (eigenfeatures: planarity, omnivariance and surface variation).
In the third part of the research project, a sonar system consisting of low-cost sensors called GNSS > Sonar > Phone System (G > S > P Sys) able to collect bathymetric data in shallow water was implemented, and a method for 3D modelling of the collected data based on mapping via a machine learning approach was developed.
In the fourth part of the research project, GNSS-aided photogrammetry via video was studied for the production of automatically scaled and georeferenced point clouds and 3D mesh models. GNSS-aided photogrammetry was implemented using the smartphone and various low-cost sensors considering two systems and three different approaches.
Finally, observing the results obtained, it can be deduced that the use of smartphones and tablets for the acquisition of good and high quality geospatial data is possible only by finding the most appropriate method for the positioning the devices. Based on the applications experimented in the research project, the problem of mobile device positioning was solved using a low-cost external GNSS receiver for smartphones. However, this does not exclude the possibility of exploring other positioning methods in future research
From point cloud to parametric 3D model: polygonal modelling approach for optimising Scan to H-BIM and Scan to H-FEM processes
3D parametric modelling is a current and important research topic for the digitisation of cultural heritage in order to preserve the evolution and historical identity of an area over time; for this reason, cultural heritage assets must be subjected to continuous maintenance and monitoring, as well as valorisation and promotion. In addition, a considerable amount of these assets are often exposed to a high risk of damage caused by natural disasters and a poor state of care and neglect that leads to inevitable loss. In this context, in order to adopt all safeguarding and preservation measures in the field of CH, new sensors, digital acquisition technologies and suitable methodological approaches make it possible to create high-performance three-dimensional models, capable of increasing the detail and representation of particulars and enriching these models with heterogeneous information. However, such 3D models are often difficult to manage as they require very high processing and storage capacities. Therefore, it is necessary to define a suitable methodology that is capable of simplifying and optimising the three-dimensional models obtained from a photogrammetric or TLS approach, preserving their accuracy and metric rigour and, at the same time, performing efficiently in BIM (Building Information Modeling) and/or FEM (Finite Element Analysis) applications. The aim of this work is to identify a suitable process that is able, starting from a point cloud obtained by means of geomatic techniques, to generate three-dimensional surface models that are subsequently decimated and optimised according to the complexity of the case and the desired output. To achieve these objectives, a semi-automatic process is described that is capable of transforming a TIN (Triangulated Irregular Network) surface model into a quad-mesh polygonal model and then converting it into NURBS (Non-Uniform Rational Basis-Splines) for subsequent import into a BIM software or FEM solver for finite element calculations. As well as the optimisation requirements, this approach also pursues the objective of improving the quality of the final model, providing metrics (validated by means of suitable algorithms) and geometric resolution, resolving all the topological errors of the generated meshes (open surfaces, holes, edges, etc.), as well as optimising the computational aspects, sharing and interoperability between the different software and platforms used. The experimentation was carried out on two different case studies, and in particular a 14th-century church and a bronze statue, demonstrating the efficiency of the optimisation and management of complex geometries and validating, through a study on the repeatability of the approach considered, an efficient and accurate Scan to BIM and Scan to FEM process applied to existing cultural heritage
Appropriate Similarity Measures for Author Cocitation Analysis
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
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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