ISBN: 9781461413509
This book introduces resource-aware data fusion algorithms to gather and combine data from multiple sources (e.g., sensors) in order to achieve inferences. These techniques can be used i… Mehr…
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This book introduces resource-aware data fusion algorithms to gather and combine data from multiple sources (e.g., sensors) in order to achieve inferences. These techniques c… Mehr…
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ISBN: 9781461413509
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ISBN: 9781461413509
This book introduces resource-aware data fusion algorithms to gather and combine data from multiple sources (e.g., sensors) in order to achieve inferences. These techniques can be used i… Mehr…
Ahmed Abdelgawad#Magdy Bayoumi:
Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks - neues Buch2012, ISBN: 9781461413509
This book introduces resource-aware data fusion algorithms to gather and combine data from multiple sources (e.g., sensors) in order to achieve inferences. These techniques c… Mehr…
2002
ISBN: 9781461413509
This book introduces resource-aware data fusion algorithms to gather and combine data from multiple sources (e.g, sensors) in order to achieve inferences. These techniques can be used in … Mehr…
ISBN: 9781461413509
This book introduces resource-aware data fusion algorithms to gather and combine data from multiple sources (e.g, sensors) in order to achieve inferences. These techniques can be used in … Mehr…
ISBN: 9781461413509
Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks: ab 117.49 € eBooks > Sachthemen & Ratgeber > Technik Springer-Verlag GmbH, Springer-Verlag GmbH
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Detailangaben zum Buch - Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks
EAN (ISBN-13): 9781461413509
ISBN (ISBN-10): 1461413508
Erscheinungsjahr: 2012
Herausgeber: Springer New York
140 Seiten
Sprache: eng/Englisch
Buch in der Datenbank seit 2012-12-26T19:47:37+01:00 (Berlin)
Detailseite zuletzt geändert am 2022-06-09T17:17:05+02:00 (Berlin)
ISBN/EAN: 9781461413509
ISBN - alternative Schreibweisen:
1-4614-1350-8, 978-1-4614-1350-9
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: bayo
Titel des Buches: wireless sensor networks, fusion, algorithms
Daten vom Verlag:
Autor/in: Ahmed Abdelgawad; Magdy Bayoumi
Titel: Lecture Notes in Electrical Engineering; Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks
Verlag: Springer; Springer US
108 Seiten
Erscheinungsjahr: 2012-02-15
New York; NY; US
Sprache: Englisch
96,29 € (DE)
99,00 € (AT)
118,00 CHF (CH)
Available
XVI, 108 p.
EA; E107; eBook; Nonbooks, PBS / Technik/Elektronik, Elektrotechnik, Nachrichtentechnik; Schaltkreise und Komponenten (Bauteile); Verstehen; Data Fusion; Embedded Systems; Multisensor data fusion; Remote measuring; Wireless Sensor Networks; B; Electronic Circuits and Systems; Signal, Speech and Image Processing; Algorithms; Engineering; Elektronik; Digitale Signalverarbeitung (DSP); Algorithmen und Datenstrukturen; BC
This book introduces resource-aware data fusion algorithms to gather and combine data from multiple sources (e.g., sensors) in order to achieve inferences. These techniques can be used in centralized and distributed systems to overcome sensor failure, technological limitation, and spatial and temporal coverage problems. The algorithms described in this book are evaluated with simulation and experimental results to show they will maintain data integrity and make data useful and informative. Describes techniques to overcome real problems posed by wireless sensor networks deployed in circumstances that might interfere with measurements provided, such as strong variations of pressure, temperature, radiation, and electromagnetic noise; Uses simulation and experimental results to evaluate algorithms presented and includes real test-bed;Includes case study implementing data fusion algorithms on a remote monitoring framework for sand production in oil pipelines.Describes techniques to overcome real problems posed by wireless sensor networks deployed in circumstances that might interfere with measurements provided, such as strong variations of pressure, temperature, radiation, and electromagnetic noise Uses simulation and experimental results to evaluate algorithms presented and includes real test-bed Includes case study implementing data fusion algorithms on a remote monitoring framework for sand production in oil pipelines Includes supplementary material: sn.pub/extras
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