The prevalence of smartphone technology and the emergence of wearable devices embedded with body sensors has allowed for services that utilise health data obtained from physiological sensors. When these sensors are converged with IoT devices, there is expected to be an increased demand of health data required, which can cause rapid battery consumption and increased bandwidth usage. It is therefore crucial to save and conserve power consumption. This book provides a novel approach and solution to reduce data transactions and conserve battery usage in personal health devices whilst still allowing for the transfer of crucial data in real-time.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
The prevalence of smartphone technology and the emergence of wearable devices embedded with body sensors has allowed for services that utilise health data obtained from physiological sensors. When these sensors are converged with IoT devices, there is expected to be an increased demand of health data required, which can cause rapid battery consumption and increased bandwidth usage. It is therefore crucial to save and conserve power consumption. This book provides a novel approach and solution to reduce data transactions and conserve battery usage in personal health devices whilst still allowing for the transfer of crucial data in real-time.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The prevalence of smartphone technology and the emergence of wearable devices embedded with body sensors has allowed for services that utilise health data obtained from physiological sensors. When these sensors are converged with IoT devices, there is expected to be an increased demand of health data required, which can cause rapid battery consumption and increased bandwidth usage. It is therefore crucial to save and conserve power consumption. This book provides a novel approach and solution to reduce data transactions and conserve battery usage in personal health devices whilst still allowing for the transfer of crucial data in real-time. 272 pp. Englisch. N° de réf. du vendeur 9786202061605
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Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kang JamesDr James Kang is passionate for education and teaches Information Technology in Melbourne, Australia as a Senior Lecturer. His research area is in Health Informatics, Smart environments, Sensor networks and Low Power Wide A. N° de réf. du vendeur 385923899
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. Intelligent Mobile Health Networks | An Inference System Framework for Personal Sensor Devices in Mobile Health and Internet of Things Networks | James Kang | Taschenbuch | 272 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9786202061605 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 110465527
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -The prevalence of smartphone technology and the emergence of wearable devices embedded with body sensors has allowed for services that utilise health data obtained from physiological sensors. When these sensors are converged with IoT devices, there is expected to be an increased demand of health data required, which can cause rapid battery consumption and increased bandwidth usage. It is therefore crucial to save and conserve power consumption. This book provides a novel approach and solution to reduce data transactions and conserve battery usage in personal health devices whilst still allowing for the transfer of crucial data in real-time.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 272 pp. Englisch. N° de réf. du vendeur 9786202061605
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The prevalence of smartphone technology and the emergence of wearable devices embedded with body sensors has allowed for services that utilise health data obtained from physiological sensors. When these sensors are converged with IoT devices, there is expected to be an increased demand of health data required, which can cause rapid battery consumption and increased bandwidth usage. It is therefore crucial to save and conserve power consumption. This book provides a novel approach and solution to reduce data transactions and conserve battery usage in personal health devices whilst still allowing for the transfer of crucial data in real-time. N° de réf. du vendeur 9786202061605
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Vendeur : Revaluation Books, Exeter, Royaume-Uni
Paperback. Etat : Brand New. 272 pages. 8.66x5.91x0.62 inches. In Stock. N° de réf. du vendeur zk620206160X
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