1,721,000 research outputs found
Umanesimo Digitale e Bene Comune? Linee guida e riflessioni per una salvezza possibile / Digital humanities and Commons: guidelines and recflections for a possible salvation
No full textIl COVID ha evidenziato in maniera drammatica la condizione di totale fragilità della cultura e, in particolare, del nostro patrimonio artistico e storico, tangibile e intangibile. Una fragilità determinata sostanzialmente dall’assenza di relazioni, di cui invece il patrimonio vive nel susseguirsi storico delle società che lo conservano e lo condividono. Ai tempi del COVID, in cui tutti i musei, i siti archeologici e i luoghi della cultura erano chiusi, si è posta con urgenza la riflessione su come mantenere vive queste relazioni, attraverso il digitale. L’articolo tratteggia riflessioni teoriche e metodologiche per un manifesto di buone pratiche operative e scientifiche, a partire dalle numerose esperienze condotte in ambito di Umanesimo Digitale. Vengono esplicitati i quattro passaggi, intimamente connessi, su cui far leva per una filiera digitale consapevole e sostenibile: digitalizzazione scientifica, nuove forme di interazione virtuale, misurazione del gradimento dei pubblici, formazione di nuove competenze.The pandemic crisis dramatically highlighted the fragility of culture and, in particular, of our tangible and intangible, artistic and historical heritage. A fragility determined substantially by the absence of relations, of which the heritage lives on in the historical succession of the societies that preserve and share it. In the days of Covid, when all museums, archaeological sites and places of culture were closed, there was an urgent need to reflect on how to keep these relationships alive, through digital technologies. The article outlines theoretical and methodological reflections for a manifesto of good operative and scientific practices, starting from several experiences conducted in the field of Digital Humanities. Four closely connected steps on which to leverage for a conscious and sustainable digital supply chain are explained: scientific digitization, new forms of virtual interaction, measurement of public acceptance, training of new skills
SCIRES-IT Volume 6, Issue 2 (2016)
No full textThis number of SCIRES-IT summarises the most significant outcomes from the conference Landscape & Archaeology - En Route, held in June 2016 in Italy. The conference aimed at undertaking smart and sustainable experiences linking landscape and archaeology. The key topics, discussed during the itinerant event were: Smart Landscape, Archaeology and digital documentation and Smart Industrial Archaeology. Furthermore, a special session has been devoted to sheed some light on the sustainable valorisation of heritages and on the Cultural Districts initiative. This paper presents an overview of the papers, trying to highlight links and differences in multidisplinary approaches to “Landcape&archaeology”
Ideal geometries in the military architecture of F. di Giorgio Martini. the defence system fortress-tower of Cagli
No full textThe subject of the military architecture was widely studied and analyzed by the architect Francesco di Giorgio Martini (1439-1501), who created important defensive works in the duchy of Montefeltro. A defensive line connects a series of medieval villages of the Marches: b Between the Martini's fortifications, Cagli has still a fortified tower perfectly preserved and some traces of the fortress. The analysis conducted on them involves the information inferable by the essay, by historical surveys and the recent laser scanner survey. The aim of the research was to identify the generating geometry of the architecture: taking the precepts of Vitruvius, in the Renaissance period geometry was synonymous with proportion, order and symmetry. Two are subjects: the first one is the in-depth knowledge of the tower through the digital data obtained from the point cloud, the other one is the reconstruction of a global image of the complex tower-fortress
A Method for Determining the Shape Similarity of Complex Three-Dimensional Structures to Aid Decay Restoration and Digitization Error Correction
Full text linkThis paper introduces a new method for determining the shape similarity of complex three-dimensional (3D) mesh structures based on extracting a vector of important vertices, ordered according to a matrix of their most important geometrical and topological features. The correlation of ordered matrix vectors is combined with perceptual definition of salient regions in order to aid detection, distinguishing, measurement and restoration of real degradation and digitization errors. The case study is the digital 3D structure of the Camino Degli Angeli, in the Urbino’s Ducal Palace, acquired by the structure from motion (SfM) technique. In order to obtain an accurate, featured representation of the matching shape, the strong mesh processing computations are performed over the mesh surface while preserving real shape and geometric structure. In addition to perceptually based feature ranking, the new theoretical approach for ranking the evaluation criteria by employing neural networks (NNs) has been proposed to reduce the probability of deleting shape points, subject to optimization. Numerical analysis and simulations in combination with the developed virtual reality (VR) application serve as an assurance to restoration specialists providing visual and feature-based comparison of damaged parts with correct similar examples. The procedure also distinguishes mesh irregularities resulting from the photogrammetry process
From TLS to FE analysis: points cloud exploitation for structural behaviour definition. The San Ciriaco's bell tower
Full text linkICT driven platform for high-quality virtual contents creation and sharing with e-Tourism purposes. The interreg IT-HR REMEMBER project
No full textThis paper describes REMEMBER, an EU project which aims at establishing a network for joint valorization of 8 ports in Italy and Croatia, trying to shift the paradigm of touristic flows toward a sustainable tourism. The key point is an innovative ICT architecture, modular and scalable, to share information at different system levels of detail and fruition, with an interoperable and multi-channel approach. Given its flexibility, contents can be conveniently displayed in different ways: Web portals, fixed installations, mobile devices etc. This infrastructure enables a great number of Digital Experiences (DEs) that can be exploited at both global and local scale. Since the project is on going, the paper presents a first overview of the instantiate methodology, as well as briefly introduces the DEs that are currently designed and, finnaly, reports a prospective outlook related to the post-pandemic scenario
GRAPH CNN with RADIUS DISTANCE for SEMANTIC SEGMENTATION of HISTORICAL BUILDINGS TLS POINT CLOUDS
Full text linkPoint clouds obtained via Terrestrial Laser Scanning (TLS) surveys of historical buildings are generally transformed into semantically structured 3D models with manual and time-consuming workflows. The importance of automatizing this process is widely recognized within the research community. Recently, deep neural architectures have been applied for semantic segmentation of point clouds, but few studies have evaluated them in the Cultural Heritage domain, where complex shapes and mouldings make this task challenging. In this paper, we describe our experiments with the DGCNN architecture to semantically segment historical buildings point clouds, acquired with TLS. We propose a variation of the original approach where a radius distance based technique is used instead of K-Nearest Neighbors (KNN) to represent the neighborhood of points. We show that our approach provides better results by evaluating it on two real TLS point clouds, representing two Italian historical buildings: the Ducal Palace in Urbino and the Palazzo Ferretti in Ancona
Apprendimento da dati sintetici di nuvole di punti per la segmentazione semantica di edifici storici
No full textNel panorama della ricerca sul patrimonio storico, la segmentazione semantica delle nuvole di punti 3D sta guadagnando sempre più attenzione, poiché permette di riconoscere automaticamente gli elementi architettonici storici. Tuttavia, la segmentazione semantica è particolarmente difficile nell'architettura storica e classica, a causa della complessità delle forme e della limitata ripetibilità di elementi in edifici diversi, che rende difficile definire modelli comuni all'interno della stessa classe architettonica. Inoltre, poiché i modelli di deep learning richiedono una quantità considerevolmente grande di dati annotati per essere addestrati al fine di gestire adeguatamente nuove scene, la mancanza di sufficientemente ampi data set di nuvole di punti annotate pubblicamente disponibili per edifici storici è un problema enorme, tanto da costituire un collo di bottiglia nella ricerca. D’altra parte, la creazione di una massa critica di nuvole di punti etichettate mediante annotazione manuale è molto dispendiosa in termini di tempo e poco pratica. A tal fine, in questo lavoro viene esplorata l'idea di sfruttare i dati sintetici delle nuvole di punti per addestrare modelli di deep learning che eseguono la segmentazione semantica delle nuvole di punti. Per raggiungere questo scopo, viene presentata una versione migliorata della Dynamic Graph CNN (DGCNN) denominata RadDGCNN. Negli esperimenti presentati in questo lavoro, i modelli vengono addestrati su dataset sintetici (disponibili pubblicamente) di due diversi edifici storici: Palazzo Ducale di Urbino e il Palazzo Ferretti ad Ancona. La filiera si imposta sui modelli degli stessi edifici acquisiti tramite Laser Scanner Terrestre. La rete RadDGCNN produce buoni risultati, dimostrando migliori prestazioni di segmentazione sui dataset reali
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
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