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Sensing Technology: Current Status and Future Trends I Softcover reprint of the original 1st ed. 2014 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 327 pages, height x width: 235x155 mm, weight: 5153 g, 221 Illustrations, black and white; X, 327 p. 221 illus., 1 Paperback / softback
  • Sērija : Smart Sensors, Measurement and Instrumentation 7
  • Izdošanas datums: 27-Aug-2016
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3319344048
  • ISBN-13: 9783319344041
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  • Mīkstie vāki
  • Cena: 91,53 €*
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Sensing Technology: Current Status and Future Trends I Softcover reprint of the original 1st ed. 2014Palielināt
  • Formāts: Paperback / softback, 327 pages, height x width: 235x155 mm, weight: 5153 g, 221 Illustrations, black and white; X, 327 p. 221 illus., 1 Paperback / softback
  • Sērija : Smart Sensors, Measurement and Instrumentation 7
  • Izdošanas datums: 27-Aug-2016
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3319344048
  • ISBN-13: 9783319344041
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783319344041.html
Keywords:
This book describes the current state of the art in sensing technology, particularly from the applied perspective. Offers a broad overview of recent developments, and discusses the process through which researchers develop sensors and related systems.

This book is written for academic and industry professionals working in the field of sensing, instrumentation and related fields, and is positioned to give a snapshot of the current state of the art in sensing technology, particularly from the applied perspective. The book is intended to give a broad overview of the latest developments, in addition to discussing the process through which researchers go through in order to develop sensors, or related systems, which will become more widespread in the future.

From the Contents: A Novel Smart Sensing Platform for Vital Signs and Motor Activity Monitoring.- Real-Time Monitoring of Respiratory Diseases of Distantly Located Elderly Impaired Patients.- Real-Time Position Sensing for Biofeedback-Based Gait Training.- A Comprehensive Seven Layer Sensor Model: Cyber-Physical System.- Small-Signal Analysis of the Nonlinear Acoustic Behavior of Vented Vessels.