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  • Open Access
    Authors: 
    Biagini, Carlo; Bongini, Andrea; Ottobri, Paolo; Verdiani, Giorgio;
    Publisher: Universidad Politécnica de Cartagena
    Countries: Spain, Italy

    The implementation of BIM methodologies for historical buildings presupposes not only the collection of data and information related to its geometric configuration and to the technical parameters of its constituent elements, but more generally the identification of those semantic values which make it part of the historical-cultural heritage shared in a specific context. It is therefore essential that the modelling objectives are explicitly defined in relation to the specific BIM uses required, in order to avoid risks of over-modelling. This paper proposes a process of geometric validation of building information models of high morphological complexity implemented through Scan-to-BIM procedures. By means of a controlled and interoperable workflow, a chain of software applications is defined that is able to determine the level of geometric accuracy (LOA) of the information model with respect to the numerical model derived from the point cloud. Two case studies of H-BIM modelling of historical monumental complexes dating back to the Romanesque period in Sardinia (Italy) are illustrated: the churches of Sant'Efisio a Nora (Cagliari) and Santa Maria del Regno (Sassari). In the discussion of the results, the need for a prior definition of modelling strategies in relation to the expected BIM uses is highlighted. The digital survey was carried out as a part of the research project titled, “The Romanesque and the territory. Construction materials of the Sardegna Giudicale”, and coordinated by prof. Stefano Columbu. The BIM model was developed by a students’ team as part of the teaching activities of the Architectural Drawing course at the School of Engineering, University of Florence. The imagines are extracted from the drawings of the students, Valeria Siddi, Elena Pastorelli, Liuba Gabrielli, Simone Riccio, Elisa Ricotti.

  • Publication . Conference object . Article . 2022
    Open Access
    Authors: 
    Alessandro Spennato; Simone Zurli;
    Publisher: Municipality of Alanya
    Country: Italy

    During the mid-1990s and the first two decades of the 2000s, the Netherlands underwent a super zoning programme called VINEX to redevelop peripheral areas. The initial objective is to change to an urban landscape design project for high-density housing, favouring places that tend to be elitist. This research looks first at the evolution of VINEX on urban landscape design and then at how the recent NR development programme has sought to correct housing speculation. Finally, by comparing the objectives of VINEX and the NR programme, this research aims to highlight how land reclamation can also be achieved through new policies of green landscape and social inclusion and not only through land consumption, a peculiar characteristic of Dutch planning.

  • Open Access
    Authors: 
    Romeo Bandinelli; Andrea Nunziatini; Virginia Fani; Bianca Bindi;
    Publisher: European Council for Modelling and Simulation
    Country: Italy

    The paper deals with the development of a data-driven simulation model for the process optimization of an automatic electroplating plant in the fashion industry. Starting from the process mapping of the production process using the Business Process Modelling and Notation (BPMN standard), an object-oriented simulation model has been defined using the commercial software AnyLogic®. Finally, the model has been validated and the plant has been optimized.

  • Publication . Conference object . Other literature type . Article . 2022
    Open Access English
    Authors: 
    E. Pellis; A. Murtiyoso; A. Masiero; G. Tucci; M. Betti; P. Grussenmeyer;
    Countries: Italy, Switzerland

    The interest in high-resolution semantic 3D models of historical buildings continuously increased during the last decade, thanks to their utility in protection, conservation and restoration of cultural heritage sites. The current generation of surveying tools allows the quick collection of large and detailed amount of data: such data ensure accurate spatial representations of the buildings, but their employment in the creation of informative semantic 3D models is still a challenging task, and it currently still requires manual time-consuming intervention by expert operators. Hence, increasing the level of automation, for instance developing an automatic semantic segmentation procedure enabling machine scene understanding and comprehension, can represent a dramatic improvement in the overall processing procedure. In accordance with this observation, this paper aims at presenting a new workflow for the automatic semantic segmentation of 3D point clouds based on a multi-view approach. Two steps compose this workflow: first, neural network-based semantic segmentation is performed on building images. Then, image labelling is back-projected, through the use of masked images, on the 3D space by exploiting photogrammetry and dense image matching principles. The obtained results are quite promising, with a good performance in the image segmentation, and a remarkable potential in the 3D reconstruction procedure. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVI-2/W1-2022 ISSN:2194-9034 ISSN:1682-1777 ISSN:1682-1750

  • Open Access
    Authors: 
    A. Conti; L. Fiorini; G. Tucci;
    Publisher: International Society for Photogrammetry and Remote Sensing
    Country: Italy

    Abstract. The ambon by Giovanni Pisano in the church of Sant'Andrea in Pistoia (Italy) consists of a hexagonal platform raised on slender columns standing on bases and sculptures with different heights. In the 17th century, it was disassembled and placed in a different location and, also for this reason, is currently in an endangered condition. As part of a multi-disciplinary programme of investigations and monitoring, a 3D survey was requested. The challenging aspect of the survey is related with the material of the work of art, as it is completely made of different kinds of white and red marbles. These materials are translucent and light diffuses through them, so the laser beam scatters beyond the surface and biases measurements in an unpredictable way. Tests were carried out, comparing two scanners with different characteristics and digital photogrammetry. The results show significant differences between the three technologies, identify the best solution in relation to the desired objectives, and highlight how different acquisition techniques affect the suitability of models for subsequent applications.

  • Publication . Conference object . Article . Other literature type . 2022
    Open Access English
    Authors: 
    Jürg Meierhofer; Rodolfo Benedech; Lukas Schweiger; Cosimo Barbieri; Mario Rapaccini;
    Publisher: EDP Sciences
    Countries: Italy, Switzerland

    The provision of advanced services becomes a relevant differentiation for manufacturing companies, in particular for SMEs (small and medium-sized enterprises). These services, also referred to as smart services, require the collection and processing of data from equipment, customers, and processes, as well as the development of analytics models and the interpretation of their results for improved service value propositions. These steps require significant engagement of the firms in terms of technical and human resources, skills, and new types of value creation processes, which is a major hurdle especially for SMEs. As the value that can be achieved when leveraging the information inherent in the data is not known a priori, the enterprises are not sufficiently informed for taking the decision to engage. Consequently, they are missing out on relevant business opportunities due to a lack of quantitative models for assessing the value of data. In this paper, we discuss the existing literature on data valuation models and explore the state of practice through an interview-based field study. We develop a model for the utility-based valuation of data that helps companies expand their fund of knowledge and skills about the value of their data and thus make better-informed investment decisions. A simulation-based model is developed to support companies in this assessment by providing quantitative insights in the value potential of the data in various use cases. This model opens a series of new research questions for the further elaboration of the data valuation models.

  • Open Access
    Authors: 
    Franco Angotti; Matteo Guiglia; Piero Marro; Maurizio Orlando;
    Publisher: Springer
    Country: Italy
  • Open Access
    Authors: 
    Tyc, Jakub; Parisi, Erica Isabella; Tucci, Grazia; Hensel, Defne Sunguroğlu; Hensel, Michael Ulrich;
    Publisher: Wichmann Verlag
    Country: Italy
  • Publication . Article . Conference object . 2022
    Open Access
    Authors: 
    Carletti, Cristina; Cellai, Gianfranco; Piselli, Cristina; Sciurpi, Fabio; Russo, Giuseppe; Schmidt, Eike D.;
    Publisher: EDP Sciences
    Country: Italy

    In museums, poor indoor air quality combined with unsuitable thermal and hygrometric conditions can affect the visitors and staff wellbeing as well as cause the deterioration processes of the exhibit objects. In order to assess indoor air quality of the museum, a survey was carried out in some rooms of the Uffizi Gallery of Florence by the researchers of the Laboratory of Environmental Physics of the University of Florence. Indoor temperature, relative humidity, chemical and microbiological pollutants were sampled, and the results analyzed and discussed. To do that a general methodology of investigation and evaluation of the results was defined and applied to several rooms of the Gallery. The presence of critical pollutant concentration was underlined and proper investigations on the HVAC system were scheduled. In this paper the results regarding a representative room are shown and discussed.

  • Open Access
    Authors: 
    Corona, P.; Cantiani, P.; Battistel, G. A.; Becagli, C.; Carbone, F.; Chianucci, F.; Chiarabaglio, P. M.; Ciolli, M.; Ferrara, C.; Migliorini, D.; +4 more
    Publisher: Consiglio per la ricerca in agricoltura e l’analisi dell’economia agraria (CREA)
    Country: Italy
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