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Sinopsis
While it may be attractive to view sensors as simple transducers which convert physical quantities into electrical signals, the truth of the matter is more complex. The engineer should have a proper understanding of the physics involved in the conversion process, including interactions with other measurable quantities. A deep understanding of these interactions can be leveraged to apply sensor fusion techniques to minimize noise and/or extract additional information from sensor signals.
Advances in microcontroller and MEMS manufacturing, along with improved internet connectivity, have enabled cost-effective wearable and Internet of Things sensor applications. At the same time, machine learning techniques have gone mainstream, so that those same applications can now be more intelligent than ever before. This book explores these topics in the context of a small set of sensor types.
We provide some basic understanding of sensor operation for accelerometers, magnetometers, gyroscopes, and pressure sensors. We show how information from these can be fused to provide estimates of orientation. Then we explore the topics of machine learning and sensor data analytics.
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Acerca del autor
Michael Stanley received his B.S.E. from Michigan State University in 1980 and his M.S. from Arizona State University in 1986. His career spans over three decades at Motorola Semiconductor, Freescale Semiconductor, and NXP Semiconductor. He is a Senior Member of the IEEE and is listed as inventor or co-inventor on seven patents. Mike was a contributor to the IEEE Standard for Sensor Performance Parameter Definitions (IEEE Std 2700-2014) as well as the 2nd edition of the Measurements, Instrumentation, and Sensors Handbook by CRC Press. He was inducted into the MEMS & Sensors Industry Group Hall of Fame in 2015 and he is an active member of the Industry Advisory Board for the Sensor, Signal, and Information Processing Center (SenSIP) at Arizona State University.Jongmin Lee is a Systems & Architecture Engineer at NXP Semiconductor. He received his Ph.D. in Electrical Engineering from Arizona State University in 2017. Previously, he was a graduate research associate at the Sensor,Signal, and Information Processing Center (SenSIP) at Arizona State University. His research interests include signal processing, communications, and machine learning.
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Sensor Analysis for the Internet of Things
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Berlin Springer International Publishing Springer Feb 2018, 2018
ISBN 10: 3031000145
ISBN 13: 9783031000140
Nuevo
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -While it may be attractive to view sensors as simple transducers which convert physical quantities into electrical signals, the truth of the matter is more complex. The engineer should have a proper understanding of the physics involved in the conversion process, including interactions with other measurable quantities. A deep understanding of these interactions can be leveraged to apply sensor fusion techniques to minimize noise and/or extract additional information from sensor signals.Advances in microcontroller and MEMS manufacturing, along with improved internet connectivity, have enabled cost-effective wearable and Internet of Things sensor applications. At the same time, machine learning techniques have gone mainstream, so that those same applications can now be more intelligent than ever before. This book explores these topics in the context of a small set of sensor types.We provide some basic understanding of sensor operation for accelerometers, magnetometers, gyroscopes, and pressure sensors. We show how information from these can be fused to provide estimates of orientation. Then we explore the topics of machine learning and sensor data analytics. 113 pp. Englisch. Nº de ref. del artículo: 9783031000140
Cantidad disponible: 2 disponibles
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Sensor Analysis for the Internet of Things
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Springer, Berlin, Springer International Publishing, Morgan & Claypool, Springer, 2018
ISBN 10: 3031000145
ISBN 13: 9783031000140
Nuevo
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - While it may be attractive to view sensors as simple transducers which convert physical quantities into electrical signals, the truth of the matter is more complex. The engineer should have a proper understanding of the physics involved in the conversion process, including interactions with other measurable quantities. A deep understanding of these interactions can be leveraged to apply sensor fusion techniques to minimize noise and/or extract additional information from sensor signals.Advances in microcontroller and MEMS manufacturing, along with improved internet connectivity, have enabled cost-effective wearable and Internet of Things sensor applications. At the same time, machine learning techniques have gone mainstream, so that those same applications can now be more intelligent than ever before. This book explores these topics in the context of a small set of sensor types.We provide some basic understanding of sensor operation for accelerometers, magnetometers,gyroscopes, and pressure sensors. We show how information from these can be fused to provide estimates of orientation. Then we explore the topics of machine learning and sensor data analytics. Nº de ref. del artículo: 9783031000140
Cantidad disponible: 2 disponibles
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Sensor Analysis for the Internet of Things (Synthesis Lectures on Algorithms and Software in Engineering)
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Hardback or Cased Book. Condición: New. Sensor Analysis for the Internet of Things 1.01. Book. Nº de ref. del artículo: BBS-9783031000140
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Sensor Analysis for the Internet of Things
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Springer, Berlin|Springer International Publishing|Morgan & Claypool|Springer, 2018
ISBN 10: 3031000145
ISBN 13: 9783031000140
Nuevo
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Librería: moluna, Greven, Alemania
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. While it may be attractive to view sensors as simple transducers which convert physical quantities into electrical signals, the truth of the matter is more complex. The engineer should have a proper understanding of the physics involved in the conversion. Nº de ref. del artículo: 608128791
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Sensor Analysis for the Internet of Things
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Sensor Analysis for the Internet of Things (Synthesis Lectures on Algorithms and Software in Engineering)
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Condición: As New. Unread book in perfect condition. Nº de ref. del artículo: 44573521
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