RSM to Model and Optimize Vibration Energy Harvester to Power WSN - Couverture souple

Aloufi, Mansour

9786202343862: RSM to Model and Optimize Vibration Energy Harvester to Power WSN

Couverture souple

ISBN 10 : 6202343869 ISBN 13 : 9786202343862

Editeur : Noor Publishing, 2017

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The emerging technologies of ambient energy harvesting attracted intensive attention of design automation researchers. Due to the universal presence of vibrations on machines, among the different mechanisms available to obtain electrical power from surrounding energy, the vibration-based harvesters have been the subject of particularly extensive development. A vibration-based (kinetic) harvester simply converts vibrations in the environment surrounding a wireless sensor node into electrical energy. This enables the wireless sensor node to be placed anywhere in the environment with no need for future access to facilitate battery replacement. The idea of harvesting environmental energy looks very promising concept especially with evolution of industrial internet of things (IIoT), because the typical wireless sensor nodes used in IIoT is normally placed in a harsh difficult to access locations. This book will discuss vibration energy harvester modeling and performance based optimization.

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�diteur: Noor Publishing
Date d'�dition: 2017
Langue: anglais
ISBN 10: 6202343869
ISBN 13: 9786202343862
Reliure: Broch�
Nombre de pages: 232
Coordonn�es du fabricant: non disponible
Personne responsable: non disponible

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RSM to Model and Optimize Vibration Energy Harvester to Power WSN

Mansour Aloufi

Edit� par Noor Publishing Okt 2017, 2017

ISBN 10 : 6202343869 ISBN 13 : 9786202343862

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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The emerging technologies of ambient energy harvesting attracted intensive attention of design automation researchers. Due to the universal presence of vibrations on machines, among the different mechanisms available to obtain electrical power from surrounding energy, the vibration-based harvesters have been the subject of particularly extensive development. A vibration-based (kinetic) harvester simply converts vibrations in the environment surrounding a wireless sensor node into electrical energy. This enables the wireless sensor node to be placed anywhere in the environment with no need for future access to facilitate battery replacement. The idea of harvesting environmental energy looks very promising concept especially with evolution of industrial internet of things (IIoT), because the typical wireless sensor nodes used in IIoT is normally placed in a harsh difficult to access locations. This book will discuss vibration energy harvester modeling and performance based optimization. 232 pp. Englisch. N� de r�f. du vendeur 9786202343862

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RSM to Model and Optimize Vibration Energy Harvester to Power WSN

Mansour Aloufi

Edit� par Noor Publishing, 2017

ISBN 10 : 6202343869 ISBN 13 : 9786202343862

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The emerging technologies of ambient energy harvesting attracted intensive attention of design automation researchers. Due to the universal presence of vibrations on machines, among the different mechanisms available to obtain electrical power from surrounding energy, the vibration-based harvesters have been the subject of particularly extensive development. A vibration-based (kinetic) harvester simply converts vibrations in the environment surrounding a wireless sensor node into electrical energy. This enables the wireless sensor node to be placed anywhere in the environment with no need for future access to facilitate battery replacement. The idea of harvesting environmental energy looks very promising concept especially with evolution of industrial internet of things (IIoT), because the typical wireless sensor nodes used in IIoT is normally placed in a harsh difficult to access locations. This book will discuss vibration energy harvester modeling and performance based optimization. N� de r�f. du vendeur 9786202343862

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RSM to Model and Optimize Vibration Energy Harvester to Power WSN

Mansour Aloufi

Edit� par Noor Publishing, 2017

ISBN 10 : 6202343869 ISBN 13 : 9786202343862

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Aloufi MansourMansour E. Aloufi, (BSc, MSc, Phd) Electrical Electronics Engineering. Assistant research Professor at KACST, Saudi Arabia.The emerging technologies of ambient energy harvesting attracted intensive attention of des. N� de r�f. du vendeur 175752743

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RSM to Model and Optimize Vibration Energy Harvester to Power WSN

Mansour Aloufi

Edit� par Noor Publishing Okt 2017, 2017

ISBN 10 : 6202343869 ISBN 13 : 9786202343862

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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -The emerging technologies of ambient energy harvesting attracted intensive attention of design automation researchers. Due to the universal presence of vibrations on machines, among the different mechanisms available to obtain electrical power from surrounding energy, the vibration-based harvesters have been the subject of particularly extensive development. A vibration-based (kinetic) harvester simply converts vibrations in the environment surrounding a wireless sensor node into electrical energy. This enables the wireless sensor node to be placed anywhere in the environment with no need for future access to facilitate battery replacement. The idea of harvesting environmental energy looks very promising concept especially with evolution of industrial internet of things (IIoT), because the typical wireless sensor nodes used in IIoT is normally placed in a harsh difficult to access locations. This book will discuss vibration energy harvester modeling and performance based optimization.Books on Demand GmbH, �berseering 33, 22297 Hamburg 232 pp. Englisch. N� de r�f. du vendeur 9786202343862

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