87,764 research outputs found
Iniziativa Specifica dell'Istituto Nazionale di Fisica Nucleare denominata RM31
The RM31 project started in 2005-2006, following its precedessor FI31
which started in 2002. The research scope is wide, the main focus being on
relativistic heavy ion physics and related theoretical problems as well as on
QCD at finite temperature and density.
There is an ongoing collaboration between Firenze (F. Becattini, L. Del Zanna,
G. Inghirami), Ferrara (A. Drago, V. Rolando) and Torino (A. De Pace, A. Beraudo)
aimed at providing the italian community working on heavy ion physics with a numerical
hydrodynamical code in 3+1 dimensions endowed with dissipative corrections
(ECHO-QGP project, see web page http://www.arcetri.astro.it/~gabriele/echo/)
This is an important tool for the analysis of the data collected by LHC experiments;
for this special purpose, we are taking advantage of the support of PRIN2009
project (involving Firenze, Catania, Torino)
ALICE physics: Theoretical overview
Alessandro B, Aurenche P, Baier R, Becattini F, Botje M. ALICE physics: Theoretical overview. CERN-Alice-Internal-Note. 2002;2002-025
Understanding Human Reactions Looking at Facial Microexpressions With an Event Camera
With the establishment of Industry 4.0 , machines are now required to interact with workers. By observing biometrics they can assess if humans are authorized, or mentally and physically fit to work. Understanding body language, makes human–machine interaction more natural, secure, and effective. Nonetheless, traditional cameras have limitations; low frame rate and dynamic range hinder a comprehensive human understanding. This poses a challenge, since faces undergo frequent instantaneous microexpressions. In addition, this is privacy-sensitive information that must be protected. We propose to model expressions with event cameras, bio-inspired vision sensors that have found application within the Industry 4.0 scope. They capture motion at millisecond rates and work under challenging conditions like low illumination and highly dynamic scenes. Such cameras are also privacy-preserving, making them extremely interesting for industry. We show that using event cameras, we can understand human reactions by only observing facial expressions. Comparison with red-green-blue (RGB)-based modeling demonstrates improved effectiveness and robustness
Joint-Based Action Progress Prediction
Action understanding is a fundamental computer vision branch for several applications, ranging from surveillance to robotics. Most works deal with localizing and recognizing the action in both time and space, without providing a characterization of its evolution. Recent works have addressed the prediction of action progress, which is an estimate of how far the action has advanced as it is performed. In this paper, we propose to predict action progress using a different modality compared to previous methods: body joints. Human body joints carry very precise information about human poses, which we believe are a much more lightweight and effective way of characterizing actions and therefore their execution. Estimating action progress can in fact be determined based on the understanding of how key poses follow each other during the development of an activity. We show how an action progress prediction model can exploit body joints and integrate it with modules providing keypoint and action information in order to be run directly from raw pixels. The proposed method is experimentally validated on the Penn Action Dataset
Direct thrombin inhibitors for the prevention of venous thromboembolism after major orthopaedic surgery
Canonical strangeness enhancement
Sollfrank J, Becattini F, Redlich K, Satz H. Canonical strangeness enhancement. In: Nuclear Physics A. NUCLEAR PHYSICS A. Vol 638. ELSEVIER SCIENCE BV; 1998: 399C-402C.According to recent experimental data and theoretical developments we discuss three distinct topics related to strangeness enhancement in nuclear reactions. We investigate the compatibility of multi-strange particle ratios measured in a restricted phase space with thermal model parameters extracted recently in 4 pi. We study the canonical suppression as a possible reason for the observed strangeness enhancement and argue that a connection between QGP formation and the undersaturation of strangeness is not excluded
«Introduzione. Prospettive dello sviluppo locale sotto forma di esame critico di dieci anni di incontri artiminesi»
Engineering designers’ CAD performance when modelling from isometric and orthographic projections
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