Sharing high-resolution models and information on web: The web module of bim3dsg system

BIM3DSG system is described here. It is an ad hoc designed BIM system created for Cultural Heritage applications. It proposes some solutions to solve some issues related to the use of BIM in this field. First, it tries to resolve the problem of managing huge, complex, high resolution and heterogeneous 3D models, and then it offers a practical, easy and efficient solution for a wide sharing of data and information

A NEW IDEA OF BIM SYSTEM FOR VISUALIZATION, WEB SHARING AND USING HUGE COMPLEX 3D MODELS FOR FACILITY MANAGEMENT.

The work is the final part of a multi-year research project on the Milan Cathedral, which focused on the complete survey and threedimensional modeling of the Great Spire (Fassi et al., 2011) and the two altars in the transept. The main purpose of the job was to prepare support data for the maintenance operations involving the cathedral since 2009 and still in progress. The research job had begun addressing our efforts to identify which methods would allow an expeditious but comprehensive measure of complex architectural structure as a whole. (Achille et al., 2012) The following research works were focused mainly to find an efficient method to visualize, use and share the realized 3D mode

BIM SYSTEM FOR THE CONSERVATION AND PRESERVATION OF THE MOSAICS OF SAN MARCO IN VENICE

The Basilica of San Marco in Venice is a well-known masterpiece of World Heritage. It is a real multi-faceted architecture. The management of the church and its construction site is very complicated, and requires an efficient system to collect and manage different kinds of data. The BIM approach appeared to be the most suitable to collect multi-source data, to monitor activities and guarantee the well-timed operations inside the church. The purpose of this research was to build a BIM of the Basilica, considering all aspects that characterize it and that require particular care.Many problems affected the phase of the acquisition of data, and forced the team to establish a clear working pipeline that allowed the survey simultaneously, hand in hand, with all the usual activities of the church. The fundamental principle for the organization of the whole work was the subdivision of the entire complex in smaller parts, which could be managed independently, both in the acquisition and the modelling stage. This subdivision also reflects the method used for the photogrammetric acquisition. The complexity of some elements, as capitals and statues, was acquired with different Level of Detail (LoD) using various photogrammetric acquisitions: from the most general ones to describe the space, to the most detailed one 1:1 scale renderings. In this way, different LoD point clouds correspond to different areas or details.As evident, this pipeline allows to work in a more efficient way during the survey stage, but it involves more difficulties in the modelling stage. Because of the complexity of the church and the presence of sculptural elements represented by a mesh, from the beginning the problem of the amount of data was evident: it is nonsense to manage all models in a single file.The challenging aspect of the research job was the precise requirement of the Procuratoria di San Marco: to obtain the 1:1 representation of all the mosaics of the Basilica. This requirement significantly increased the effort in the acquisition stage, because it was necessary to reach a submillimetre resolution in the photographic images sufficient to distinguish perfectly each single tessera, also in the highest domes (28 meters). Furthermore, it introduced a new problem about the management of the gigapixel - orthophotos.The BIM approach presented in this paper tries to offer a solution to all these problems. The BIM application is based not on commercial software, but on a self-implemented system, which was previously tested on the Main Spire of Milano Cathedral. The multi-scale and multi-area approach have also been maintained in the BIM construction phase.In the case of Basilica di San Marco, the most important requirement was the management of the orthophotos of each single element. It was necessary to give the user the possibility to recover, for each item, not only the geometric model, but also the raster representation -orthophoto- of its surface: in order to do it, the BIM model acts as a three-dimensional catalogue

VR for Cultural Heritage. A VR-WEB-BIM for the future maintenance of Milan’s Cathedral.

The work presented here is the final step of a multidisciplinary research project conducted on the Milan Cathedral for eight years (2008–2015). Three main topics, consequentially related, will be here addressed: (i) the survey of the structure, meant to update the old drawings; (ii) the construction of an accurate and detailed 3D model to be used to produce measurements at a 1:20–1:50 representation scale; (iii) the development of a Building Information System (BIM) to collect all the data relating to the restoration projects, as well as all information relating to past, current and future maintenance activities of the cathedral. The result of this research project is a complex and accurate digital 3D model of the main spire of the cathedral and of other parts of the building. This model can be visualized, navigated and used by the Veneranda Fabbrica technicians as an info-data catalogue, thanks to a common web browser connected with the remote BIM System Server and the modelling software where ad hoc I/O plugins are implemented. The last step of this long project was to take advantage of the nascent potential of immersive visualization techniques and to transpose the BIM system in a VR environment, thus obtaining two main results. The first was a high-appeal visualization system that allows a virtual visit of the Main Spire of the cathedral, the building’s highest part that has been closed to visitors since the beginning of the XX century. The second was the possibility to use this technology to virtually explore the cathedral from a technical point of view: by using an immersive visualization technology, operators can improve their understanding of the structure and obtain real-time information about the state of conservation, including current and past maintenance activities, in a sort of “augmented reality system in a virtual environment”

Sleep in Neurodegenerative Diseases: An Integrated Approach to Diagnosis and Monitoring

L'abstract è presente nell'allegato / the abstract is in the attachmen

La mediazione penale: esperienza italiana e spagnola a confronto.

L'elaborato tratta dei modelli di giustizia riparativa, in particolare della mediazione penale, quali tecniche di risoluzione del conflitto penale a margine del processo. Lo sviluppo di paradigmi in grado di offrire, tanto all'indagato che alla vittima, l'opportunità di confrontarsi, di accedere ad un dialogo diretto ed interpersonale, accompagnato dalla figura di un mediatore, terzo ed imparziale rispetto alle parti stesse, rappresenta un'esigenza ormai imprescindibile, dal momento che obblighi di adempimento in tal senso ci derivano tanto dal diritto internazionale che comunitario. Oltre a comportare notevoli vantaggi sul piano della mera economia processuale (riduzione tempi/costi del processo penale), la mediazione penale consente alle parti di esternare i propri sentimenti relativi ai fatti accaduti, elemento di vantaggio tanto per la vittima, che potrà così accedere ad una personale riparazione del danno subito, che per l'autore, che arriverà ad un maggiore grado di responsabilizzazione, con risvolti positivi circa la possibilità di recidiva. Nel presente lavoro di ricerca, svolto in gran parte presso l'Università Complutense di Madrid (attraverso il programma di studio Erasmus+ per tesi all'estero), si mettono a confronto le modalità e gli istituti attraverso i quali la mediazione penale sta cominciando ad affermarsi nella realtà processual-penalistica italiana e spagnola. Ad un primo capitolo di introduzione circa l'origine ed i contenuti della giustizia riparativa, vista alla luce del diritto internazionale e comunitario, segue la specifica trattazione dell'argomento rispetto ai due Paesi in esame. Il modello seguito per l'elaborazione di questi ultimi è uniforme: partendo dall'analisi dei principi costituzionali che potrebbero apparentemente trovarsi in contrasto con l'ingresso della mediazione penale all'interno degli ordinamenti giuridici dei due Stati, si vanno ad analizzare le modalità concrete con cui l'istituto sta - poco a poco - affermandosi, tanto nella realtà processual-penalistica dei minori che in quella degli adulti, denotando come, per i primi, siano già stati fatti notevoli passi in avanti, dettati, forse, da una maggiore esigenza di trovare soluzioni capaci di allontanare il più in fretta possibile il minore dalla realtà processuale (essendo in Spagna già ampiamente disciplinato l'istituto della mediazione penale all'interno della LO 5/2000); viceversa, per quanto riguarda il mondo adulto, ancora molti sono i passi da fare, tanto in Italia che, ancor di più, nel Paese iberico, per poter dotare i rispettivi ordinamenti penal-processuali di una organica regolamentazione legale della materia, la quale trova, al momento, il suo palcoscenico più grande nella prassi dei tribunali

Sleep Quality through Vocal Analysis: a Telemedicine Application

Voice is a reservoir of valuable health data. Recent studies highlighted its efficacy in predicting sleep quality, and its potential as biomarker of neurodegeneration. This study assesses the feasibility of a Telemedicine system for the evaluation of sleep quality through brief vocal recordings. Machine Learning models were employed in the binary classification between good and poor sleepers, with great performance in scoring poor sleep quality - 88% and 85% F-1 score on a 5-fold Cross Validation (CV) for females and males, respectively. Moreover, the correlation between perceived sleep quality and a validated global score was studied, as well as the influence of external factors and sleep-wake schedule

The Sign and the Word. Exploring the Art of Emotional Communication

In the fall of 2024, the P.A.T.H.O.S. project (Perception of Architecture, Territory, and Heritage. Observation and Sensation) was launched as a collaboration between the University of Genoa and the University of Pisa. The research aims to explore the emotional relationship that inevitably develops between an individual and the territory, as well as the communication of this emotion through its representation. Drawings and texts –either in the form of keywords or extended expressions of the subject’s sensations and observations– created by students from the two universities were chosen as the means of communication. These drawings and words were presented to external observers through an online test and will undergo specific evaluations to identify the elements indicative of emotions, as well as to determine what worked most effectively in terms of graphic and verbal representation. The goal is to fill gaps in the psychological scientific literature, which lacks specific categories of words, emotions, and images related to the urban-architectural environment

Objective Assessment of the Finger Tapping Task in Parkinson's Disease and Control Subjects using Azure Kinect and Machine Learning

Parkinson's disease (PD) is characterised by a progressive worsening of motor functionalities. In particular, limited hand dexterity strongly correlates with PD diagnosis and staging. Objective detection of alterations in hand motor skills would allow, for example, prompt identification of the disease, its symptoms and the definition of adequate medical treatments. Among the clinical assessment tasks to diagnose and stage PD from hand impairment, the Finger Tapping (FT) task is a well-established tool. This preliminary study exploits a single RGB-Depth camera (Azure Kinect) and Google MediaPipe Hands to track and assess the Finger Tapping task. The system includes several stages. First, hand movements are tracked from FT video recordings and used to extract a series of clinically-relevant features. Then, the most significant features are selected and used to train and test several Machine Learning (ML) models, to distinguish subjects with PD from healthy controls. To test the proposed system, 35 PD subjects and 60 healthy volunteers were recruited. The best-performing ML model achieved a 94.4% Accuracy and 98.4% Fl score in a Leave-One-Subject-Out validation. Moreover, different clusters with respect to spatial and temporal variability in the FT trials among PD subjects were identified. This result suggests the possibility of exploiting the proposed system to perform an even finer identification of subgroups among the PD population