scholarly journals THE ETRUSCAN CITY GATES OF PERUGIA: GEOMATIC TECHNIQUES FOR THE DOCUMENTATION AND STUDY OF AN URBAN HISTORY HERITAGE

2021 ◽  
Author(s):  
Fabio Radicioni ◽  
Pietro Matracchi ◽  
Aurelio Stoppini ◽  
Grazia Tosi ◽  
Laura Marconi
Keyword(s):  
Residential Buildings ◽  
Point Clouds ◽  
Loss Of Function ◽  
Research Project ◽  
City Wall ◽  
Terrestrial Lidar ◽  
City Gates ◽  
Dense Point ◽  
University Of Florence ◽  
The University

The Engineering Department of the University of Perugia and the Architecture Department of the University of Florence have started a research project on the ancient city gates of Perugia, belonging to the Etruscan city, dating between the third and second centuries b.C., and to the subsequent city wall completed in the twelfth century. In this paper, focus is placed on three Etruscan gates - Porta Eburnea (also called Porta della Mandorla), Porta Cornea and Porta Trasimena – which have in common profound Middle Age transformations and further significant context changes following the loss of function as defensive walls. Due to the decommissioning of this urban infrastructure, the gates have assumed a marginal role; nowadays they are almost completely absorbed by residential buildings, almost losing the memory of their origins and of the important Etruscan remains that are still preserved in the gates. Geomatic surveys on the three Etruscan gates were carried out by the Geomatics Laboratory of Perugia University in the frame of a research project financed by the Cassa di Risparmio di Perugia Foundation. The survey was carried out by means of a coordinated use of more Geomatic techniques: GNSS, Total Station, Terrestrial LIDAR and Digital Photogrammetry. From LIDAR and photogrammetry were derived dense point clouds, beside CAD plans, sections and elevations. The information acquired with these detailed surveys provide a completely new and accurate documentary evidence of the gates’ consistency, allowing to identify the actions and interventions that have changed their structure over time.

scholarly journals Digital Competence and Web Technologies: Analysis of a Research Project and its Instruments

10.28945/3245 ◽  
2008 ◽  
Author(s):  
Antonio Cartelli
Keyword(s):  
Digital Divide ◽  
Digital Literacy ◽  
Knowledge Society ◽  
Testing System ◽  
Digital Competence ◽  
Research Project ◽  
Web Technologies ◽  
Literacy Support ◽  
University Of Florence ◽  
The University

The paper reports on the features of the framework for digital literacy support and documentation, developed within a research project the author is working on, with some colleagues in other Italian universities. First a short introduction on the features of today society often called “knowledge society” is reported, and the problems of digital divide and digital literacy are discussed. Soon after the research project, planned and carried out under the coordination of the University of Florence, for the development of the instruments to be devoted to the construction of a digital competence is drafted. To let the reader better understand how the project situates in the panorama of today studies, a synthesis of the international works on those topics is described, with a special attention to the connections between them and the new generations’ digital basic skills. The description of the general features of the project and of the instruments the author hypothesized for the hitting of the attained results are then discussed, while paying attention to the information systems to be used for the creation of an online testing system and for the management of digital literacy bibliography. The paper ends with some considerations on the evolution of the project and the possible results from it as regards informing science.

scholarly journals THE GAMHER RESEARCH PROJECT FOR METRIC DOCUMENTATION OF CULTURAL HERITAGE: CURRENT DEVELOPMENTS

2019 ◽  
Vol XLII-2/W11 ◽  
pp. 239-246 ◽  
Author(s):  
G. Bitelli ◽  
C. Balletti ◽  
R. Brumana ◽  
L. Barazzetti ◽  
M. G. D'Urso ◽  
...  
Keyword(s):  
Cultural Heritage ◽  
3D Models ◽  
Digital Data ◽  
Urban Landscapes ◽  
Research Groups ◽  
Research Project ◽  
Built Heritage ◽  
Primary Focus ◽  
University Of Florence ◽  
The University

<p><strong>Abstract.</strong> GAMHer (Geomatics data Acquisition and Management for landscape and built Heritage in a European perspective) is a three-year research project financed under the Italian PRIN 2015 framework (Progetti di Ricerca di Rilevante Interesse Nazionale). The project, started in February 2017 under the University of Bologna coordination, links other 5 Italian research groups mainly involved in Cultural Heritage (CH) documentation and data management: Politecnico di Milano, Politecnico di Torino, IUAV Venice, University of Florence, University of Cassino and Southern Lazio and University of Bergamo.</p><p>GAMHer aims at exploiting some research and practical challenges in those disciplines devoted to generate 3D models for objects related to both landscape and built heritage; primary focus is then on digital photogrammetry and 3D scanning. These techniques are more and more applied in different contexts, having as the main subjects monuments, buildings, natural and urban landscapes. Some critical points however remain for their implementation, also facing to the new European directives, strictly connected to the requirement of the Digital Agenda for Europe. A wider use of digital data has to be achieved, in Europe as well as internationally, and therefore an analysis of the current developments is significant, together with a critical assessment of their performances.</p>

Andres Neumann’s Theatrical Archive. Sources for the History of Contemporary Performing Arts

2021 ◽  
Vol 66 (2) ◽  
pp. 95-110
Author(s):  
Andrea Giovanni Strangio
Keyword(s):  
Twentieth Century ◽  
Performing Arts ◽  
First Year ◽  
Research Project ◽  
Contemporary Theatre ◽  
Peter Brook ◽  
History Of ◽  
University Of Florence ◽  
The University ◽  
Pina Bausch

"The paper, at the conclusion of the work conducted during the first year of the PhD course in Storia delle Arti e dello Spettacolo (History of Cinema, Music, Fine and Performing Arts) at the University of Florence, briefly describes the structure and content of the theatrical archive of Andres Neumann, preserved at the il Funaro Centro Culturale of Pistoia. The fund is a precious instrument of historiography, because it contains documents relating to the main plays of the international theatre of the last thirty years of the twentieth century. After having presented and discussed some examples of documentary types contained in the archive, in particular regarding Tadeusz Kantor and Anatoly Vasiliev, the paper illustrates the prospects for development of this research project. Keywords: Andres Neumann, contemporary theatre, Tadeusz Kantor, Peter Brook, Pina Bausch, Anatoly Vasiliev, il Funaro Centro Culturale, Rondò di Bacco. "

scholarly journals La multifunzionalità dell'agricoltura nelle zone montane marginali

2013 ◽  
Keyword(s):  
Sustainable Development ◽  
Science And Technology ◽  
Fundamental Aspect ◽  
Engineering Science ◽  
Research Project ◽  
Multiple Functions ◽  
Primary Activity ◽  
Scientific Results ◽  
University Of Florence ◽  
The University

This report contains the scientific results of the research project co-funded by Regione Toscana entitled "La multifunzionalità dell'agricoltura nelle zone montane marginali: una valutazione qualitativa, quantitativa e monetaria degli impatti ambientali, economici e sociali". The project involved various partners, whose skills enabled the activity to take an integrated, multi-disciplinary bent; the University of Florence Department of Farming and Forestry Economics, Engineering, Science and Technology – DEISTAF – took responsibility for the scientific side, while the local partners counted the municipality of San Godenzo, L'Unione dei Comuni della Montagna Fiorentina and the Consorzio Marrone del Mugello IGP. The general aim of the whole research project was to prepare guidelines for the endogenous and sustainable development of outlying areas, while extending knowledge of a fundamental aspect of farming, the primary activity, namely its multiple functions.

MOBIS-COVID19/06: Results as of 11/05/2020

2020 ◽  
Author(s):  
Joseph Molloy ◽  
Christopher Tchervenkov ◽  
Thomas Schatzmann ◽  
Beaumont Schoeman ◽  
Beat Hintermann ◽  
...  
Keyword(s):  
Everyday Life ◽  
Research Project ◽  
Daily Mobility ◽  
The University ◽  
At Home

To slow down the spread of the Coronavirus, the population has been instructed to stay<br>at home if possible. This measure consequently has a major impact on our daily mobility<br>behaviour. But who is being affected, and how? The MOBIS-COVID-19 research project,<br>an initiative of ETH Zurich and the University of Basel, is a continuation of the original<br>MOBIS study. The aim of the project is to get a picture of how the crisis is affecting<br>mobility and everyday life in Switzerland.

scholarly journals Individual Tree Extraction from Terrestrial LiDAR Point Clouds Based on Transfer Learning and Gaussian Mixture Model Separation

2021 ◽  
Vol 13 (2) ◽  
pp. 223
Author(s):  
Zhenyang Hui ◽  
Shuanggen Jin ◽  
Dajun Li ◽  
Yao Yevenyo Ziggah ◽  
Bo Liu
Keyword(s):  
Transfer Learning ◽  
Gaussian Mixture Model ◽  
Mixture Model ◽  
Principal Component ◽  
Point Clouds ◽  
Gaussian Mixture ◽  
Individual Tree ◽  
Terrestrial Lidar ◽  
Initial Segmentation ◽  
Tree Extraction

Individual tree extraction is an important process for forest resource surveying and monitoring. To obtain more accurate individual tree extraction results, this paper proposed an individual tree extraction method based on transfer learning and Gaussian mixture model separation. In this study, transfer learning is first adopted in classifying trunk points, which can be used as clustering centers for tree initial segmentation. Subsequently, principal component analysis (PCA) transformation and kernel density estimation are proposed to determine the number of mixed components in the initial segmentation. Based on the number of mixed components, the Gaussian mixture model separation is proposed to separate canopies for each individual tree. Finally, the trunk stems corresponding to each canopy are extracted based on the vertical continuity principle. Six tree plots with different forest environments were used to test the performance of the proposed method. Experimental results show that the proposed method can achieve 87.68% average correctness, which is much higher than that of other two classical methods. In terms of completeness and mean accuracy, the proposed method also outperforms the other two methods.

scholarly journals Insights into the Predictors of Attitude toward Entomophagy: The Potential Role of Health Literacy: A Cross-Sectional Study Conducted in a Sample of Students of the University of Florence

2021 ◽  
Vol 18 (10) ◽  
pp. 5306
Author(s):  
Chiara Lorini ◽  
Laura Ricotta ◽  
Virginia Vettori ◽  
Marco Del Riccio ◽  
Massimiliano Alberto Biamonte ◽  
...  
Keyword(s):  
Data Analysis ◽  
Health Literacy ◽  
Potential Role ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
University Of Florence ◽  
The University ◽  
Self Administered Questionnaire

In Western countries, one of the main barriers to entomophagy is repulsion toward insects. Few studies have investigated the factors that influence attitudes toward entomophagy. Therefore, we conducted a cross-sectional study involving a sample of 248 university students, focusing on disgust and other potential attributes that can influence insect consumption, including health literacy. We used a 17-item self-administered questionnaire. Consistent with the literature, two items were chosen as outcome variables to evaluate the predictors of the propensity to consume insects: “Have you ever eaten insects or insect-based products?” and “How disgusting do you find eating insects?” The data analysis shows that having already eaten insects is inversely associated with the level of disgust (OR: 0.1, p < 0.01); and it is positively associated with higher levels of health literacy (OR: 3.66, p > 0.01). Additionally, having some knowledge and information about entomophagy is inversely associated with a higher level of disgust (OR: 0.44, p = 0.03 and OR: 0.25, p = 0.03, respectively), while being female is positively associated with disgust (OR: 3.26, p < 0.01). Our results suggest the potential role of health literacy, in addition to other factors, in influencing the willingness to taste insects. However, further studies involving larger and non-convenience samples are needed to confirm our hypothesis.

scholarly journals Towards footwear manufacturing 4.0: shoe sole robotic grasping in assembling operations

2021 ◽  
Author(s):  
Guillermo Oliver ◽  
Pablo Gil ◽  
Jose F. Gomez ◽  
Fernando Torres
Keyword(s):  
Industry 4.0 ◽  
Laser Scanner ◽  
Point Clouds ◽  
Average Score ◽  
Low Density ◽  
Contour Extraction ◽  
Shoe Industry ◽  
Simulated Environment ◽  
Dense Point ◽  
Different Shapes

AbstractIn this paper, we present a robotic workcell for task automation in footwear manufacturing such as sole digitization, glue dispensing, and sole manipulation from different places within the factory plant. We aim to make progress towards shoe industry 4.0. To achieve it, we have implemented a novel sole grasping method, compatible with soles of different shapes, sizes, and materials, by exploiting the particular characteristics of these objects. Our proposal is able to work well with low density point clouds from a single RGBD camera and also with dense point clouds obtained from a laser scanner digitizer. The method computes antipodal grasping points from visual data in both cases and it does not require a previous recognition of sole. It relies on sole contour extraction using concave hulls and measuring the curvature on contour areas. Our method was tested both in a simulated environment and in real conditions of manufacturing at INESCOP facilities, processing 20 soles with different sizes and characteristics. Grasps were performed in two different configurations, obtaining an average score of 97.5% of successful real grasps for soles without heel made with materials of low or medium flexibility. In both cases, the grasping method was tested without carrying out tactile control throughout the task.

scholarly journals Estimating tree stem diameters and volume from smartphone photogrammetric point clouds

2019 ◽  
Vol 93 (3) ◽  
pp. 411-429 ◽  
Author(s):  
Maria Immacolata Marzulli ◽  
Pasi Raumonen ◽  
Roberto Greco ◽  
Manuela Persia ◽  
Patrizia Tartarino
Keyword(s):  
Low Cost ◽  
Three Dimensional ◽  
Laser Scanner ◽  
Point Clouds ◽  
Stem Volume ◽  
Forest Plot ◽  
3D Point Clouds ◽  
Dense Point ◽  
Minimum Number ◽  
Scale Point

Abstract Methods for the three-dimensional (3D) reconstruction of forest trees have been suggested for data from active and passive sensors. Laser scanner technologies have become popular in the last few years, despite their high costs. Since the improvements in photogrammetric algorithms (e.g. structure from motion—SfM), photographs have become a new low-cost source of 3D point clouds. In this study, we use images captured by a smartphone camera to calculate dense point clouds of a forest plot using SfM. Eighteen point clouds were produced by changing the densification parameters (Image scale, Point density, Minimum number of matches) in order to investigate their influence on the quality of the point clouds produced. In order to estimate diameter at breast height (d.b.h.) and stem volumes, we developed an automatic method that extracts the stems from the point cloud and then models them with cylinders. The results show that Image scale is the most influential parameter in terms of identifying and extracting trees from the point clouds. The best performance with cylinder modelling from point clouds compared to field data had an RMSE of 1.9 cm and 0.094 m3, for d.b.h. and volume, respectively. Thus, for forest management and planning purposes, it is possible to use our photogrammetric and modelling methods to measure d.b.h., stem volume and possibly other forest inventory metrics, rapidly and without felling trees. The proposed methodology significantly reduces working time in the field, using ‘non-professional’ instruments and automating estimates of dendrometric parameters.

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