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Institution

Polytechnic University of Turin

EducationTurin, Piemonte, Italy
About: Polytechnic University of Turin is a education organization based out in Turin, Piemonte, Italy. It is known for research contribution in the topics: Finite element method & Computer science. The organization has 11553 authors who have published 41395 publications receiving 789320 citations. The organization is also known as: POLITO & Politecnico di Torino.


Papers
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Journal ArticleDOI
TL;DR: In this article, a questionnaire-based survey on a sample of companies in NW Italy was carried out with the aim of investigating which operational performance indicators (according to ISO 14031) are used in their EMS, whether EMS implementation has contributed to an increased commitment towards environmental performance and what the entity of the achieved improvements is.

175 citations

Journal ArticleDOI
TL;DR: In this article, it was shown that the functions on a Siegel domain that depend only on the distance from the identity form a commutative convolution algebra, which makes S an example of a harmonic manifold, not necessarily symmetric.
Abstract: To each groupN of Heisenberg type one can associate a generalized Siegel domain, which for specialN is a symmetric space This domain can be viewed as a solvable extensionS =NA ofN endowed with a natural left-invariant Riemannian metric We prove that the functions onS that depend only on the distance from the identity form a commutative convolution algebra This makesS an example of a harmonic manifold, not necessarily symmetric In order to study this convolution algebra, we introduce the notion of “averaging projector” and of the corresponding spherical functions in a more general context We finally determine the spherical functions for the groupsS and their Martin boundary

175 citations

Journal ArticleDOI
TL;DR: In this article, the authors proposed a model to explain how a gamma-ray burst can take place days or years after a supernova explosion, based on the conversion of a pure hadronic star (neutron star) into a star made at least in part of deconfined quark matter.
Abstract: We propose a model to explain how a gamma-ray burst can take place days or years after a supernova explosion. Our model is based on the conversion of a pure hadronic star (neutron star) into a star made at least in part of deconfined quark matter. The conversion process can be delayed if the surface tension at the interface between hadronic and deconfined quark matter phases is taken into account. The nucleation time (i.e., the time to form a critical-size drop of quark matter) can be extremely long if the mass of the star is small. Via mass accretion the nucleation time can be dramatically reduced and the star is finally converted into the stable configuration. A huge amount of energy, on the order of 1052-1053 ergs, is released during the conversion process and can produce a powerful gamma-ray burst. The delay between the supernova explosion generating the metastable neutron star and the new collapse can explain the delay inferred in GRB 990705 and in GRB 011211.

175 citations

Journal ArticleDOI
31 Mar 2015-Energies
TL;DR: In this article, the state of the art of calibration methodologies in the domain of building energy performance assessment is presented. But the calibration of building simulation models is of growing interest.
Abstract: Buildings do not usually perform during operation as well as predicted during the design stage. Disagreement between simulated and metered energy consumption represents a common issue in building simulation. For this reason, the calibration of building simulation models is of growing interest. Sensitivity and uncertainty analyses play an important role in building model accuracy. They can be used to identify the building model parameters most influent on the energy consumption. Given this, these analyses should be integrated within calibration methodologies and applications for tuning the parameters. This paper aims at providing a picture of the state of the art of calibration methodologies in the domain of building energy performance assessment. First, the most common methodologies for calibration are presented, emphasizing criticalities and gaps that can be faced. In particular the main issues to be addressed, when carrying out calibrated simulation, are discussed. The standard statistical criteria for considering the building models calibrated and for evaluating their goodness-of-fit are also presented. Second, the commonly used techniques for investigating uncertainties in building models are reviewed. Third, a review of the latest main studies in the calibrated simulation domain is presented. Criticalities and recommendations for new studies are finally provided.

175 citations

Journal ArticleDOI
TL;DR: Several very large scale integration (VLSI) architectures suitable for turbo decoder implementation are proposed and compared in terms of complexity and performance; the impact on the VLSI complexity of system parameters like the state number, number of iterations, and code rate are evaluated for the different solutions.
Abstract: A great interest has been gained in recent years by a new error-correcting code technique, known as "turbo coding", which has been proven to offer performance closer to the Shannon's limit than traditional concatenated codes. In this paper, several very large scale integration (VLSI) architectures suitable for turbo decoder implementation are proposed and compared in terms of complexity and performance; the impact on the VLSI complexity of system parameters like the state number, number of iterations, and code rate are evaluated for the different solutions. The results of this architectural study have then been exploited for the design of a specific decoder, implementing a serial concatenation scheme with 2/3 and 3/4 codes; the designed circuit occupies 35 mm/sup 2/, supports a 2 Mb/s data rate, and for a bit error probability of 10/sup -6/, yields a coding gain larger than 7 dB, with ten iterations.

175 citations


Authors

Showing all 11854 results

NameH-indexPapersCitations
Rodney S. Ruoff164666194902
Silvia Bordiga10749841413
Sergio Ferrara10572644507
Enrico Rossi10360641255
Stefano Passerini10277139119
James Barber10264242397
Markus J. Buehler9560933054
Dario Farina9483232786
Gabriel G. Katul9150634088
M. De Laurentis8427554727
Giuseppe Caire8282540344
Christophe Fraser7626429250
Erasmo Carrera7582923981
Andrea Califano7530531348
Massimo Inguscio7442721507
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023210
2022487
20212,789
20202,969
20192,779
20182,509