1.

Record Nr.

UNISA990005853410203316

Autore

LENCI, Mauro

Titolo

A destra, oltre la destra : la cultura politica del neofascimo italiano : 1945-1999 / Mauro Lenci

Pubbl/distr/stampa

Pisa : Pisa University Press, 2012

ISBN

978-88-6741-049-1

Descrizione fisica

112 p. ; 21 cm

Collana

Didattica e ricerca , Saggi e studi

Disciplina

320.5330945

Soggetti

Neofascismo - Italia - 1945-1995

Collocazione

X.3.B. 6865

Lingua di pubblicazione

Italiano

Formato

Materiale a stampa

Livello bibliografico

Monografia



2.

Record Nr.

UNINA9910383838103321

Autore

Leschke André

Titolo

Algorithm Concept for Crash Detection in Passenger Cars / / by André Leschke

Pubbl/distr/stampa

Wiesbaden : , : Springer Fachmedien Wiesbaden : , : Imprint : Springer Vieweg, , 2020

ISBN

3-658-29392-6

Edizione

[1st ed. 2020.]

Descrizione fisica

1 online resource (XXXIV, 271 p. 157 illus., 56 illus. in color.)

Disciplina

629.2042

Soggetti

Automotive engineering

Electrical engineering

Computer simulation

Automotive Engineering

Electrical Engineering

Simulation and Modeling

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

State of the art: Vehicle Structure, Restraint Systems, Electronic Systems and Algorithm for Crash Detection -- Model Proposal for the Description of Threshold-based Algorithms -- Simulation Model for Component-specific Local Loading -- New Algorithm Concept for Crash Detection based on Local Component-specific Loads and for the Classification of Load Cases.

Sommario/riassunto

State-of-the-art airbag algorithms make a decision to fire restraint systems in a crash by evaluating the deceleration of the entire vehicle during the single events of the accident. In order to meet the ever increasing requirements of consumer test organizations and global legislators, a detailed knowledge of the nature and direction of the crash would be of great benefit. The algorithms used in current vehicles can only do this to a limited extent. André Leschke presents a completely different algorithm concept to solve these problems. In addition to vehicle deceleration, the chronological sequence of an accident and the associated local and temporal destruction of the vehicle are possible indicators for an accident’s severity. Contents State



of the art: Vehicle Structure, Restraint Systems, Electronic Systems and Algorithm for Crash Detection Model Proposal for the Description of Threshold-based Algorithms Simulation Model for Component-specific Local Loading New Algorithm Concept for Crash Detection based on Local Component-specific Loads and for the Classification of Load Cases Target Groups Scientists and students in the field of automotive and mechanical engineering Engineers working in industrial research and development of vehicle safety About the Author Dr. André Leschke has earned his doctoral degree from Tor-Vergata University of Rome, Italy. Currently, he is working as head of a team of vehicle safety developers in the German automotive industry.