Event pattern detection embedded de carlson jan (3 resultados)

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Librería: preigu, Osnabrück, Alemaniapreigu
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Taschenbuch. Condición: Neu. Event Pattern Detection for Embedded Systems | A Resource-efficient Event Algebra | Jan Carlson | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639184440 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: p…reigu.

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Librería: moluna, Greven, Alemaniamoluna
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Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Carlson JanJan Carlson is a researcher at Maelardalen University in Sweden. He received his M.Sc. degree in Computer Science from Linkoeping University, Sweden, and his doctoral… degree from Maelardalen University in 2007. In addition to.

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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Events play an important role in many computer systems, from small reactive embedded applications to large distributed systems. They provide a robust basis for communication and synchronisation between independent subsystems, or for capt…uring important changes within the system or its environment. In some applications, individual event occurrences are not the main point of concern. Instead, the system should respond to certain event patterns, such as 'the start button being pushed, followed by a temperature alarm within two seconds'. One way to specify such event patterns is by means of an event algebra with operators for combining the simple events of a system into specifications of complex patterns. This work presents an event algebra with two important characteristics. First, it complies with a number of algebraic laws, which shows that the algebra operators behave as expected. Second, any pattern represented by an expression in this algebra can be efficiently detected with bounded resources in terms of memory and time, which is particularly important when event pattern detection is used in embedded systems, where resource efficiency and predictability are crucial.