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Статті в журналах з теми "Interazione 3D"
Tagliagambe, Silvano. "Il Metaverso come ambiente e risorsa." EDUCAZIONE SENTIMENTALE, no. 37 (September 2022): 28–42. http://dx.doi.org/10.3280/eds2022-037003.
Повний текст джерелаДисертації з теми "Interazione 3D"
RINALDI, MONICA FERNANDA. "Modellazione dell’impatto del cambiamento climatico sulla interazione pianta - patogeni a livello regionale nel Trentino – Italia." Doctoral thesis, Università Cattolica del Sacro Cuore, 2013. http://hdl.handle.net/10280/1747.
Повний текст джерелаControl of agricultural pests and diseases is often based on forecasting models commonly based on real time monitoring of inputs variables. This information generally combines meteorological local databases and mathematical models designed to forecast pest and disease risk. The decision process starts when an alert or a potential risk event from the outputs of the models is issued. Epidemiological models based on local datasets have been created and validated worldwide, for example in USA, the University of California developed the online Integrated Pest Management (IPM) program where each farmer can consult with his own database and make the pest management decision based on site-specific conditions. Difficulties arise when no data from a close weather station are available, in mountain areas where weather conditions highly depend on the altimetry, or if data are not in a standard format to feed the model. In a view of having a regional vision and an increased accuracy in the pest control management, the goal of this thesis was to run contemporaneously epidemiological (the pest Lobesia botrana and the pathogen causing Powdery mildew Erysiphe necator) and phenological models (grapevine cv. chardonnay) using environmental variables as temperature and to create maps at regional level, with 200 meters of resolution and daily scale or frequency. Running both models together helps to be more precise in the sensibility period of the host versus the pest or the disease and to understand the real final risk. After calibrating and validating the models in the Trentino-Alto Adige Region (Italy) with local weather data, the forecasted climate was projected and statistically downscaled, based on the output of the Hadley Centre climate model - HadAM3 (Pope et al., 2000) under scenarios A2 and B2. The statistical downscaling algorithm was “transfer function method” (Eccel et al., 2009) at daily resolution. In order to complete the analysis, the downscaled scenario from ENSEMBLES was also used with the datasets of 49 weather stations from FEM and the “RMAWGEN” packages (Cordano et al., 2012) created for this project in R statistical open source software (Gentleman et al., 1997). In order to map the models, a friendly modular WEB-GIS platform called ENVIRO was developed. Modules are Open Source, follow international Open Geospatial Consortium (OGC) standards and were implemented as follows: i) enviDB is the database for spatial temporal data, ii) enviGRID allows users to navigate through data and model in space and time, iii) enviMapper is the web interface for decision makers, a state of the art client to map vulnerability to climate change at different aggregation scales in time and space; finally, iv) enviModel is the web interface for researchers that provides a platform to process and share environmental risk models using web geo-processing technologies (WPS) following OGC standards. With the aim of being even more accurate in pests and diseases spraying volumes and according with the Directive 2009/128/EC, the current work shows that the LIDAR sensor can be used to characterize the geometry of the grapevine and the Leaf Area Index (LAI) at each growth stage and calculate the Tree Row Volume (TRV) visualized in 3D maps in GRASS (Neteler et al., 2008, Neteler et al., 2012).
RINALDI, MONICA FERNANDA. "Modellazione dell’impatto del cambiamento climatico sulla interazione pianta - patogeni a livello regionale nel Trentino – Italia." Doctoral thesis, Università Cattolica del Sacro Cuore, 2013. http://hdl.handle.net/10280/1747.
Повний текст джерелаControl of agricultural pests and diseases is often based on forecasting models commonly based on real time monitoring of inputs variables. This information generally combines meteorological local databases and mathematical models designed to forecast pest and disease risk. The decision process starts when an alert or a potential risk event from the outputs of the models is issued. Epidemiological models based on local datasets have been created and validated worldwide, for example in USA, the University of California developed the online Integrated Pest Management (IPM) program where each farmer can consult with his own database and make the pest management decision based on site-specific conditions. Difficulties arise when no data from a close weather station are available, in mountain areas where weather conditions highly depend on the altimetry, or if data are not in a standard format to feed the model. In a view of having a regional vision and an increased accuracy in the pest control management, the goal of this thesis was to run contemporaneously epidemiological (the pest Lobesia botrana and the pathogen causing Powdery mildew Erysiphe necator) and phenological models (grapevine cv. chardonnay) using environmental variables as temperature and to create maps at regional level, with 200 meters of resolution and daily scale or frequency. Running both models together helps to be more precise in the sensibility period of the host versus the pest or the disease and to understand the real final risk. After calibrating and validating the models in the Trentino-Alto Adige Region (Italy) with local weather data, the forecasted climate was projected and statistically downscaled, based on the output of the Hadley Centre climate model - HadAM3 (Pope et al., 2000) under scenarios A2 and B2. The statistical downscaling algorithm was “transfer function method” (Eccel et al., 2009) at daily resolution. In order to complete the analysis, the downscaled scenario from ENSEMBLES was also used with the datasets of 49 weather stations from FEM and the “RMAWGEN” packages (Cordano et al., 2012) created for this project in R statistical open source software (Gentleman et al., 1997). In order to map the models, a friendly modular WEB-GIS platform called ENVIRO was developed. Modules are Open Source, follow international Open Geospatial Consortium (OGC) standards and were implemented as follows: i) enviDB is the database for spatial temporal data, ii) enviGRID allows users to navigate through data and model in space and time, iii) enviMapper is the web interface for decision makers, a state of the art client to map vulnerability to climate change at different aggregation scales in time and space; finally, iv) enviModel is the web interface for researchers that provides a platform to process and share environmental risk models using web geo-processing technologies (WPS) following OGC standards. With the aim of being even more accurate in pests and diseases spraying volumes and according with the Directive 2009/128/EC, the current work shows that the LIDAR sensor can be used to characterize the geometry of the grapevine and the Leaf Area Index (LAI) at each growth stage and calculate the Tree Row Volume (TRV) visualized in 3D maps in GRASS (Neteler et al., 2008, Neteler et al., 2012).
Ranalli, Luca. "Sviluppo di metodologie per l'interazione tra un sistema di ausilio a ipovedenti e dispositivi iOS." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2016.
Знайти повний текст джерелаPINI, STEFANO. "Tecniche di Visione Artificiale per l'Interazione Uomo-Veicolo." Doctoral thesis, Università degli studi di Modena e Reggio Emilia, 2022. http://hdl.handle.net/11380/1271181.
Повний текст джерелаIn recent years, the widespread adoption of digital devices in all aspects of everyday life has led to new research opportunities in the field of Human-Computer Interaction. In the automotive field, where infotainment systems are becoming more and more important to the final user, the availability of inexpensive miniaturized cameras has enabled the development of vision-based Natural User Interfaces, paving the way for novel approaches to the Human-Vehicle Interaction. In this thesis, we investigate computer vision techniques, based on both visible light and non-visible spectrum, that can form the foundation of the next generation of in-vehicle infotainment systems. As sensing technology, we focus on infrared-based devices, such as depth and thermal cameras. They provide reliable data under different illumination conditions, making them a good fit for the mutable automotive environment. Using these acquisition devices, we collect two novel datasets: a facial dataset, to investigate the impact of sensor resolution and quality in changing acquisition settings, and a dataset of dynamic hand gestures, collected with several synchronized sensors within a car simulator. As vision approaches, we adopt state-of-the-art deep learning techniques, focusing on efficient neural networks that can be easily deployed on computing devices on the edge. In this context, we study several computer vision tasks to cover the majority of human-car interactions. First, we investigate the usage of depth cameras for the face recognition task, focusing on how depth-map representations and deep neural models affect the recognition performance. Secondly, we address the problem of in-car dynamic hand gesture recognition in real-time, using depth and infrared sensors. Then, we focus on the analysis of the human body, both in terms of the 3D human pose estimation and the contact-free estimation of anthropometric measurements. Finally, focusing on the area surrounding the vehicle, we explore the 3D reconstruction of objects from 2D images, as a first step towards the 3D visualization of the external environment from controllable viewpoints.
GIACARDI, Alberto. "L’ABITAZIONE TEMPORANEA SECONDO I PRINCIPI DELLA SOSTENIBILITA’. Soluzioni costruttive lignee “a montaggio semplificato reversibile” e sistemi di comunicazione ed interazione multimediali." Doctoral thesis, Politecnico di Torino, 2003. http://hdl.handle.net/11583/2498427.
Повний текст джерелаIACOLINA, SAMUEL ALDO. "Interactive Spaces Natural interfaces supporting gestures and manipulations in interactive spaces." Doctoral thesis, Università degli Studi di Cagliari, 2014. http://hdl.handle.net/11584/266505.
Повний текст джерелаTorsani, Andrea. "Analisi dell'interazione terreno-struttura per la progettazione di una fondazione su pali di una pila da ponte." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2013. http://amslaurea.unibo.it/5392/.
Повний текст джерелаMarinelli, Michela. "Realizzazione di un gioco mediante Unity e Blender." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/12982/.
Повний текст джерелаGAUDIO, DOMENICO. "Interazione dinamica terreno - struttura di pozzi di fondazione di pile di ponti e viadotti." Doctoral thesis, 2017. http://hdl.handle.net/11573/947638.
Повний текст джерелаIn this thesis, the behaviour of bridge-pier caisson foundations subjected to high-intensity seismic events is studied. After a critical review of papers available in the scientific literature, the role of elasto-plastic soil behaviour on bridge performance is investigated, by evaluating maximum and permanent values of displacements and rotations attained during and at the end of the seismic event. Specifically, a parametric study is performed by carrying out finite element coupled dynamic analyses in the time domain and in three-dimensional conditions. Seismic input motions are applied at the bedrock depth in terms of real acceleration time histories. Soil behaviour is described by an elasto-plastic constitutive model with isotropic hardening, to get a fair estimate of nonlinear soil behaviour and hysteretic damping under cyclic loading conditions. The coupled dynamic analyses are carried out under undrained conditions in terms of effective stresses. The influence of several key factors on the performance of the system is addressed: piers and caisson foundations with varying dimensions are considered, as well as different seismic input motions characterised by different frequency content and significant duration but similar values of the Arias intensity; furthermore, the effect of caisson construction stages and of the model adopted for bridge piers on the performance of the system is evaluated. All caisson foundations are characterised by the same value of the static safety factor against bearing capacity, to evaluate the performance of the systems starting from the same initial conditions. From the results obtained by performing the 3D coupled dynamic analyses, the equivalent seismic coefficient to be used in a pseudo-static analysis to check the safety of bridge-pier caisson foundations against geotechnical ultimate limit states is evaluated; moreover, the effect of foundation mass on dynamic properties of the system is addressed through modal analyses carried out considering soil foundation compliance.