1,720,971 research outputs found
Apprendimento da dati sintetici di nuvole di punti per la segmentazione semantica di edifici storici
Nel 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
Facsimili digitali del patrimonio architettonico per nuove forme di fruizione, gestione e valorizzazione. Il caso esemplare del Palazzo Ducale di Urbino
La digitalizzazione del patrimonio culturale è un processo multidimen-sionale necessario per salvaguardare i beni storico-artistici, per averne una cono-scenza profonda e per gestirli nel modo più completo possibile. Il caso studio presentato mostra il primo stimolante obiettivo di un progetto di ricerca multidi-sciplinare che intende migliorare un oggetto architettonico esemplare a partire dalla sua completa digitalizzazione e proporre soluzioni di godimento multisen-soriale. Questo articolo mostra i primi risultati nel campo del rilievo architetto-nico, della modellazione e della parametrizzazione. L'integrazione di diverse tec-niche è necessaria per ottenere un prodotto finale valido che possa costituire una base per la conservazione e la valorizzazione del Patrimonio Culturale. Il flusso di lavoro della digitalizzazione comprende sensori e scale diverse, come laser scanner statici e portatili, immagini 360 e HD. L'obiettivo raggiunto è un modello digitale, scientificamente validato, ad alta accuratezza che contenga dati 3D e che si configuri come punto di partenza per la ricostruzione delle fasi storiche dell'ar-tefatto e per le applicazioni VR / AR. La ricerca mostra un approccio solido e interdisciplinare applicato al caso studio: le attività e le sfide affrontate indicano che possono dimostrare problemi multilivello
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
THE INTEGRATED SURVEY OF NARROW SPACES AND UNDERGROUND ARCHITECTURE: THE CASE STUDY OF CAMPANA CAVES BAS-RELIEFS
Italian Cultural Heritage is rich in fascinating Underground Heritage (UH) to be protected and preserved because of its fragility and historical importance. An accurate and high-resolution 3D model is essential to reach an appropriate level of knowledge to safeguard caves but there are several obstacles to face. Underground data acquisition and following elaborations are problematic due to environmental conditions such as lack of homogeneous light sources, highly absorbing and unstable surfaces, narrow spaces and complex geometry. For these reasons, the integration of different techniques is mandatory to achieve a valid final product that could be an important basis for consolidation, preservation and valorization of the UH. In this paper, an integrated survey method is tested for a realistic digital reconstruction of hypogeal spaces. In addition to outputs for experts of conservation, the creation of multimedia products for a wider audience of non-professionals users is investigated as a way to preserve UH from decay. Thanks to VR, visitors virtually walk through the underground galleries observing and interacting, making accessible also fragile environments with forbidden access due to preservation policies
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
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
Carateristiche delle fibre muscolari e valutazione della presenza di fibre giganti in due ibridi di pollo da carne
Samples of three different muscles were collected from 20 chickens, 10 Kabir hybrids and 10 Ross hybrids that differ for growth speed. The aim of this study was to determine the muscle fibre characteristics of the animals and the percentage of giant fibres found in the muscles. Muscle fibre distribution, percentage of giant fibres and muscle fibre diameter were different in the two hybrids. In particular, Ross broiler chickens had a higher
percentage of giant fibres than Kabir chickens, especially in the breast muscle (3.17% versus 0.56%)
Prevalence of Campylobacter jejuni and Campylobacter coli in chicken hybrids with different growth rates, reared according to conventional and "free-range" production methods.
Effect of genotype and rearing system on chicken behavior and muscle fiber characteristics
The effect of the organic production system and genotype on chicken behavior and muscle fiber characteristics was assessed. Three hundred day-old male chicks from slow-growing (Leghorn), medium-growing (Kabir), and fast-growing (Ross 208) genotypes were assigned to 2 different production systems: conventional, housing in an indoor pen (0.12 m2/bird); and organic, housing in an indoor pen (0.12 m2/bird) with access to a grass paddock (4 m2/bird). Behavioral observations were recorded from 73 to 80 d of age in the morning and afternoon. At 81 d of age, blood samples were collected to measure lactate dehydrogenase and creatine kinase, and 20 birds per strain and rearing system were slaughtered. Samples of pectoralis major, ileotibialis lateralis, and semimembranosus muscles were obtained for histological evaluations. Behavioral observations showed that genetic selection of animals for a better growth rate modified their behavior, reducing kinetic activity. Indeed, Leghorn birds were characterized by moving activities, whereas Kabir and Ross strains were discriminated on the basis of their lying, standing, and eating activities, and these activities were strongly associated with energy conservation, growth, and muscle fiber characteristics. Fiber characteristics and muscle enzyme functions were affected by rearing system only in animals adapted to the organic system. Interesting results relative to Leghorn chickens are the presence of α-Red fiber in breast muscle and the increased cross-sectional area of the ileotibialis lateralis muscle, which together with behavioral data could affirm that this genotype is the most adapted to the organic rearing system
- …
