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Sensing Technology: Current Status and Future Trends II [electronic resource] / edited by Alex Mason, Subhas Chandra Mukhopadhyay, Krishanthi Padmarani Jayasundera, Nabarun Bhattacharyya.

By: Contributor(s): Material type: TextTextSeries: Smart Sensors, Measurement and Instrumentation ; 8Publisher: Cham : Springer International Publishing : Imprint: Springer, 2014Description: VIII, 265 p. 131 illus., 5 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783319023151
Subject(s): Additional physical formats: Printed edition:: No titleDDC classification:
  • 621.381 23
LOC classification:
  • TK7800-8360
  • TK7874-7874.9
Online resources:
Contents:
From the Contents: Cochlear Implant Electrode Improvement for Stimulation and Sensing -- Machine Vision Based Techniques for Automatic Mango Fruit Sorting and Grading Based on Maturity Level and Size.-Region Adaptive, Unsharp Masking Based Lanczos-3 Interpolation for 2-D Up-Sampling: Crisp-Rule versus Fuzzy-Rule Based Approach -- Gaze-controlled Stereo Vision to Measure Position and Track a Moving Object: Machine Vision for Crane Control.
In: Springer eBooksSummary: 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.  
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Item type Current library Call number Status Date due Barcode
E-Book E-Book Central Library Available E-41253

From the Contents: Cochlear Implant Electrode Improvement for Stimulation and Sensing -- Machine Vision Based Techniques for Automatic Mango Fruit Sorting and Grading Based on Maturity Level and Size.-Region Adaptive, Unsharp Masking Based Lanczos-3 Interpolation for 2-D Up-Sampling: Crisp-Rule versus Fuzzy-Rule Based Approach -- Gaze-controlled Stereo Vision to Measure Position and Track a Moving Object: Machine Vision for Crane Control.

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.  

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