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[null,"1.","Record Nr.",null,"UNINA9910704963703321"]
[null,null,"Autore",null,"Pesaran Ahmad"]
[null,null,"Titolo",null,"Progress of Computer-Aided Engineering of Electric Drive Vehicle Batteries (CAEBAT) / / Ahmad A. Pesaran [and five others]"]
[null,null,"Pubbl/distr/stampa",null,"[Golden, Colo.] : , : National Renewable Energy Laboratory, , 2013"]
[null,null,"Descrizione fisica",null,"1 online resource (35 pages) : color illustrations"]
[null,null,"Collana",null,"NREL/PR ; ; 5400-58202"]
[null,null,"Soggetti",null,"Computer-aided engineering"]
[{"$nulls":4},"Electric vehicles - Batteries - Research"]
[{"$nulls":4},"Electric vehicles - Batteries - Testing"]
[{"$nulls":4},"Conference papers and proceedings."]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Title from title screen (viewed on Dec. 22, 2014)."]
[{"$nulls":4},"\"May 14, 2013.\""]
[{"$nulls":4},"\"Presented at the 2013 U.S. DOE Vehicle Technologies Office, Annual Merit Review & Peer Evaluation Meeting, Arlington, VA, 13-17 May 2013.\""]
[null,"2.","Record Nr.",null,"UNINA9910346764003321"]
[null,null,"Autore",null,"Moßgraber Jürgen"]
[null,null,"Titolo",null,"Ein Rahmenwerk für die Architektur von Frühwarnsystemen"]
[null,null,"Pubbl/distr/stampa",null,"KIT Scientific Publishing, 2017"]
[null,null,"ISBN",null,"1-000-06650-9"]
[null,null,"Descrizione fisica",null,"1 online resource (VIII, 303 p. p.)"]
[null,null,"Collana",null,"Karlsruher Schriften zur Anthropomatik / Lehrstuhl für Interaktive Echtzeitsysteme, Karlsruher Institut für Technologie ; Fraunhofer-Inst. für Optronik, Systemtechnik und Bildauswertung IOSB Karlsruhe"]
[null,null,"Lingua di pubblicazione",null,"Tedesco"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Sommario/riassunto","Early warning systems are supposed to deliver information about an emerging threat in order to allow persons and organizations to react accordingly. The design of an early warning system presents complex challenges to the system architects. For this, the present work provides a framework for the architecture of future early warning systems. Particular attention is paid to solve various architectural problems by means of semantic technologies and the automation of workflows."]