Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks (Lecture Notes in Electrical Engineering, 118, Band 118) - gebonden uitgave, pocketboek
2012, ISBN: 9781461413493
Springer, Gebundene Ausgabe, Auflage: 2012, 124 Seiten, Publiziert: 2012-02-15T00:00:01Z, Produktgruppe: Buch, 1 kg, Informatik, IT-Ausbildung & -Berufe, Computer & Internet, Kategorien, … Meer...
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Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks (Lecture Notes in Electrical Engineering, 118) - gebonden uitgave, pocketboek
2012, ISBN: 1461413494
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Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks (Lecture Notes in Electrical Engineering, 118) - gebonden uitgave, pocketboek
2012, ISBN: 1461413494
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2012, ISBN: 1461413494
[EAN: 9781461413493], Gebraucht, guter Zustand, [PU: Springer US], MULTISENSOR DATA FUSION,WIRELESS SENSOR NETWORKS,EMBEDDED SYSTEMS,DATA FUSION,REMOTE MEASURING,, Buchschnitt verkürzt - … Meer...
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2012, ISBN: 1461413494
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Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks (Lecture Notes in Electrical Engineering, 118, Band 118) - gebonden uitgave, pocketboek
2012, ISBN: 9781461413493
Springer, Gebundene Ausgabe, Auflage: 2012, 124 Seiten, Publiziert: 2012-02-15T00:00:01Z, Produktgruppe: Buch, 1 kg, Informatik, IT-Ausbildung & -Berufe, Computer & Internet, Kategorien, … Meer...
Ahmed Abdelgawad, Magdy Bayoumi:
Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks (Lecture Notes in Electrical Engineering, 118) - gebonden uitgave, pocketboek2012, ISBN: 1461413494
[EAN: 9781461413493], Gebraucht, sehr guter Zustand, [PU: Springer], Light rubbing wear to cover, spine and page edges. Very minimal writing or notations in margins not affecting the text… Meer...
Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks (Lecture Notes in Electrical Engineering, 118) - gebonden uitgave, pocketboek
2012
ISBN: 1461413494
[EAN: 9781461413493], Gebraucht, sehr guter Zustand, [PU: Springer], Light rubbing wear to cover, spine and page edges. Very minimal writing or notations in margins not affecting the text… Meer...
2012, ISBN: 1461413494
[EAN: 9781461413493], Gebraucht, guter Zustand, [PU: Springer US], MULTISENSOR DATA FUSION,WIRELESS SENSOR NETWORKS,EMBEDDED SYSTEMS,DATA FUSION,REMOTE MEASURING,, Buchschnitt verkürzt - … Meer...
2012, ISBN: 1461413494
Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks ab 138.99 € als gebundene Ausgabe: Auflage 2012. Aus dem Bereich: Bücher, Wissenschaft, Technik, Medien > Bücher, Spring… Meer...
Bibliografische gegevens van het best passende boek
auteur: | |
Titel: | |
ISBN: |
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.
Gedetalleerde informatie over het boek. - Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks (Lecture Notes in Electrical Engineering, 118, Band 118)
EAN (ISBN-13): 9781461413493
ISBN (ISBN-10): 1461413494
Gebonden uitgave
Verschijningsjaar: 20120218
Uitgever: Springer
124 Bladzijden
Gewicht: 0,356 kg
Taal: Englisch
Boek bevindt zich in het datenbestand sinds 2012-06-15T14:57:34+02:00 (Amsterdam)
Detailpagina laatst gewijzigd op 2024-03-12T03:48:32+01:00 (Amsterdam)
ISBN/EAN: 1461413494
ISBN - alternatieve schrijfwijzen:
1-4614-1349-4, 978-1-4614-1349-3
alternatieve schrijfwijzen en verwante zoekwoorden:
Auteur van het boek: bayo
Titel van het boek: wireless sensor networks, algorithms, fusion
Gegevens van de uitgever
Auteur: Ahmed Abdelgawad; Magdy Bayoumi
Titel: Lecture Notes in Electrical Engineering; Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks
Uitgeverij: Springer; Springer US
108 Bladzijden
Verschijningsjaar: 2012-02-15
New York; NY; US
Gedrukt / Gemaakt in
Taal: Engels
106,99 € (DE)
109,99 € (AT)
118,00 CHF (CH)
POD
XVI, 108 p.
BB; Hardcover, Softcover / Technik/Elektronik, Elektrotechnik, Nachrichtentechnik; Schaltkreise und Komponenten (Bauteile); Verstehen; Data Fusion; Embedded Systems; Multisensor data fusion; Remote measuring; Wireless Sensor Networks; Electronic Circuits and Systems; Signal, Speech and Image Processing; Algorithms; 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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