186,286 research outputs found
Influence of thermal treatment on crystallization behaviour of Li2O-Al2O3-SiO2 glass-ceramic.
An OpenMP Parallel Genetic Algorithm for Design Space Exploration of Heterogeneous Multi-processor Embedded Systems
Matlab/Simulink Modeling of SiC Power MOSFETs
Simulation and rapid prototyping of power converters requires accurate models of all passive and active elements, which take into account most important physical parameters and not only electrical quantities. Their availability is fundamental to verify the expected behaviour of the complete system including its control algoritm without building any prototype. For this reason, due to the wide use of Simulinkr in simulation of complex systems, this paper attempts to study the main characteristics of a typical Silicon Carbide (SiC) power MOSFETs and proposes its Simulinkr model. The static and dynamic characteristics of the device are described by voltage and current sources which behaviour depend on temperature values. Switching power losses are considered by introducing parasitic capacitances in its equivalent circuit, thus obtaining a dynamic characteristic of the device. The proposed model has been validated using a typical 4H-SiC MOSFET (1200V, 20A) in an illustrative example consisting of a 5-level cascaded inverter.Simulation and rapid prototyping of power converters requires accurate models of all
passive and active elements, which take into account most
important physical parameters and not
only electrical quantities. Their availability is fundamental to verify the expected behaviour of the
complete system including its control algorithm without building any prototype. For this reason,
due to the wide use of Simulink ® in simulation of complex systems, this paper attempts to study the
main characteristics of a typical Silicon Carbide (SiC) power MOSFETs and proposes its Simulink ®
model. The static and dynamic characteristics of the device are described by voltage
and current sources which behaviour depend on temperature values. Switching power losses are
considered by introducing parasitic capacitances in its equivalent circuit, thus obtaining a
dynamic characteristic of the device. The proposed model has been validated using a typical 4H-
SiC MOSFET (1200V, 20A) in an illustrative example consisting of a 5-level cascaded inverter
Kinetic Monte Carlo simulation of the classical nucleation process
We implemented a kinetic Monte Carlo computer simulation of the nucleation process in the framework of the coarse grained scenario of the Classical Nucleation Theory (CNT). The computational approach is efficient for a wide range of temperatures and sample sizes and provides a reliable simulation of the stochastic process. The results for the nucleation rate are in agreement with the CNT predictions based on the stationary solution of the set of differential equations for the continuous variables representing the average population distribution of nuclei size. Time dependent nucleation behavior can also be simulated with results in agreement with previous approaches. The method, here established for the case in which the excess free-energy of a crystalline nucleus is a smooth-function of the size, can be particularly useful when more complex descriptions are required
An early-stage statement-level metric for energy characterization of embedded processors
This work presents an early stage statement-level metric for energy characterization of embedded processors. Definition and the framework for metric evaluation are provided. In particular, such a metric is based on an existing assembly-level analysis and some profiling activities performed on a given C benchmark, and it is related to the average energy consumption of a generic C statement, for a given target processor. Its evaluation is performed with a one-time effort and, once available, it can be used to rapidly estimate the energy consumption of a given C function for all the considered processors. Two reference embedded processors are then considered in order to show an example of usage of the proposed metric and framework. (C) 2020 The Author(s). Published by Elsevier B.V
E-MAO-MB0-INA-CIDL-001_01 MAORY Configuration Item Data List
E-MAO-MB0-INA-CIDL-001_01 MAORY Configuration Item Data Lis
Statement-Level Timing Estimation for Embedded System Design Using Machine Learning Techniques
During the initial design phases of an embedded system, the ability to support designers using metrics, obtained through a preliminary analysis, is of fundamental importance. Knowing which initial parameters of the embedded system (HW or SW) influence such metrics is even more important. The main characteristic of an embedded system that typically designers need to measure is the embedded SW (i.e., functions) execution time, used to describe the final system's performance (i.e., timing performance metric). The evaluation of such a metric is often a critical task, relying on several different techniques at different abstraction levels. Furthermore, in the era of Big Data, the use of Machine Learning methods can be a valid alternative to the classic methods used to evaluate or estimate metrics for temporal performance. In such a context, this paper describes a framework, based on the use of Machine Learning methods, to calculate a statement-level embedded software timing performance metric. Results are compared with those obtained with different approaches. They show that the proposed method improves the estimation accuracy for specific processor classes while also reducing estimation time
Comportamento strutturale dei calcestruzzi autocompattanti
In questo articolo sono esposti i risultati di una campagna sperimentale effettuata su 28 campioni di nodo trave-pilastro in c.a. confezionati utilizzando due miscele di calcestruzzo ordinarie, di cui una vibrata, e una autocompattante. I campioni sono stati sottoposti a storie di carico cicliche fino a rottura
A PageRank-based preferential attachment model for the evolution of the World Wide Web
We propose a model of network growth aimed at mimicking the evolution of theWorld Wide Web. To this purpose, we take as a key quantity, in the network evolution, the centrality or importance of a vertex as measured by its PageRank. Using a preferential attachment rule and a rewiring procedure based on this quantity, we can reproduce most of the topological properties of the system. Copyright © EPLA, 2010
A geoarchaeological study of the metaponto coastal belt, southern Italy, based on geomorphological mapping and gis-supported classification of landforms
In this work we tried to infer the settlement rules and archaeological site patterns in pilot coastal area with high
“archaeological potential” through the analysis of the spatial relationships between landform unit maps deriving from a
GIS-supported procedure of landform extraction integrated with geomorphological analyses and archaeological
evidence. This approach has been tested in the coastal Ionian sector of the Basilicata region, where a detailed
geoarchaeological research has been carried out in the frame of the multidisciplinary MeTIBas project (the Italian
acronyms for Innovative Methods and Technologies for the Cultural Heritages in the Basilicata region), funded by the
European Community. The study area extends on the southernmost part of the Bradano Foredeep, southern Italy, and
roughly coincides with the Greek settlement territory of Metaponto and its Chora (the area of influence of Greek
colonists). Archaeological investigations, regarding about 1400 sites, consisted of a re-examination of literature data
and new field surveys. The relationships between landscape elements deriving from the procedure here proposed and
archaeological sites have been statistically investigated to derive settlement patterns and rules. Results highlight a
preferential distribution of the identified categories of archaeological sites on gently-dipping marine terrace surfaces
and near their edges, thus implying that settlement dynamics of the Metaponto territory partially driven by the
topographic position
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