6 resultados para 3D virtual human
em AMS Tesi di Laurea - Alm@DL - Università di Bologna
Resumo:
Il presente elaborato descrive la realizzazione, presso il Laboratorio di Realtà Virtuale e Simulazione della Seconda Facoltà di Ingegneria, di un RVE (Reconfigurable Virtual Environment), per applicazioni nei settori dell’ingegneria industriale. La tesi ripercorre la fase di progettazione del sistema basato sull'integrazione di componenti COTS. E' definito, inoltre, un insieme di applicazioni target nei settori dell'ingegneria industriale di cui si valuta la compatibilità con il Virtual Environment. L'elaborato si conclude con la presentazione dei risultati e dei possibili sviluppi futuri.
Resumo:
A proposal for a virtual museum of computer science
Resumo:
In the present thesis we address the problem of detecting and localizing a small spherical target with characteristic electrical properties inside a volume of cylindrical shape, representing female breast, with MWI. One of the main works of this project is to properly extend the existing linear inversion algorithm from planar slice to volume reconstruction; results obtained, under the same conditions and experimental setup are reported for the two different approaches. Preliminar comparison and performance analysis of the reconstruction algorithms is performed via numerical simulations in a software-created environment: a single dipole antenna is used for illuminating the virtual breast phantom from different positions and, for each position, the corresponding scattered field value is registered. Collected data are then exploited in order to reconstruct the investigation domain, along with the scatterer position, in the form of image called pseudospectrum. During this process the tumor is modeled as a dielectric sphere of small radius and, for electromagnetic scattering purposes, it's treated as a point-like source. To improve the performance of reconstruction technique, we repeat the acquisition for a number of frequencies in a given range: the different pseudospectra, reconstructed from single frequency data, are incoherently combined with MUltiple SIgnal Classification (MUSIC) method which returns an overall enhanced image. We exploit multi-frequency approach to test the performance of 3D linear inversion reconstruction algorithm while varying the source position inside the phantom and the height of antenna plane. Analysis results and reconstructed images are then reported. Finally, we perform 3D reconstruction from experimental data gathered with the acquisition system in the microwave laboratory at DIFA, University of Bologna for a recently developed breast-phantom prototype; obtained pseudospectrum and performance analysis for the real model are reported.
Resumo:
Gaze estimation has gained interest in recent years for being an important cue to obtain information about the internal cognitive state of humans. Regardless of whether it is the 3D gaze vector or the point of gaze (PoG), gaze estimation has been applied in various fields, such as: human robot interaction, augmented reality, medicine, aviation and automotive. In the latter field, as part of Advanced Driver-Assistance Systems (ADAS), it allows the development of cutting-edge systems capable of mitigating road accidents by monitoring driver distraction. Gaze estimation can be also used to enhance the driving experience, for instance, autonomous driving. It also can improve comfort with augmented reality components capable of being commanded by the driver's eyes. Although, several high-performance real-time inference works already exist, just a few are capable of working with only a RGB camera on computationally constrained devices, such as a microcontroller. This work aims to develop a low-cost, efficient and high-performance embedded system capable of estimating the driver's gaze using deep learning and a RGB camera. The proposed system has achieved near-SOTA performances with about 90% less memory footprint. The capabilities to generalize in unseen environments have been evaluated through a live demonstration, where high performance and near real-time inference were obtained using a webcam and a Raspberry Pi4.
Resumo:
Lo studio condotto è relativo allo sviluppo del Digital Twin di macchine automatiche finalizzato all’implementazione del cosiddetto Virtual Commissioning, cioè simulazioni virtuali della messa in servizio delle macchine per la verifica preliminare e/o ottimizzazione dei codici di controllo (Part Program o G-code). In particolare, il caso di studio trattato in questa tesi è la macchina F2F prodotta dall’Azienda GIULIANI (gruppo Bucci Automations S.p.a., Faenza – RA), con centro di lavoro bi-mandrino con tavola rotante azionato tramite controllore Fanuc. Dopo aver creato il Digital Twin della macchina, che ha richiesto come primo passo la digitalizzazione di alcuni componenti di cui non si avevano a disposizione i modelli CAD 3D, sono state effettuate simulazioni di cicli di lavoro di diversi semigrezzi, così da validare il modello in modo approfondito sulla base dell’esame di varie casistiche. In questa tesi si analizzano nel dettaglio il processo di sviluppo del modello e le procedure di simulazioni di Virtual Commissioning implementate sul software Eureka Virtual Machining (Roboris S.r.l., Pisa), delle quali vengono presentati i maggiori problemi riscontrati e illustrate le relative soluzioni. L’obiettivo è quello di fornire linee guida di carattere generale per affrontare anche in futuro le criticità più significative durante la fase di digitalizzazione delle macchine prodotte dall’Azienda. Inoltre, come applicazione particolare delle simulazioni Virtual Commissiong, è stata svolta un’attività di ottimizzazione per la riduzione del tempo di ciclo di lavoro di un pezzo, con lo scopo di incrementare la produttività della macchina. Infine, si fa notare che il produttore del software ha eseguito modifiche alla versione corrente di Eureka sulla base delle criticità che sono state riscontrate e segnalate durante lo sviluppo di questa tesi.
Resumo:
As a witness on the industrialization in Bologna, since its first generation was born in the late 1760, the Battiferro lock has been coping with the innovation that the city experienced throughout the centuries, until it has lost its functionality due to the technological development for which Bologna’s canals were gradually covered starting from the 1950s under Giuseppe Dozza ’s administration, as part of the reconstruction, reclamation and urban requalification that was carried out in the aftermath the World War II and which involved the whole city. The interest of the research carried out on this case study was primarily to reintroduce the landmark that is still intact, to what is considered to be the fourth generation of the industrial revolution, namely in the construction field, which is recognized as Construction 4.0, by means of the Historic (or Heritage) Information Modeling HBIM and Virtual Reality (VR) application. A scan-to-BIM approach was followed to create 3D as-built BIM model, as a first step towards the storytelling of the abandoned industrial built asset in VR environment, or as a seed for future applications such as Digital Twins (DT), heritage digital learning, sustainable impact studies, and/or interface with other interfaces such as GIS. Based on the HBIM product, examples of the primary BIM deliverables such as 2D layouts is given, then a workflow to VR is proposed and investigated the reliability of data and the type of users that may benefit of the VR experience, then the potential future development of the model is investigated, with comparison of a relatively similar experience in the UK.