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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.

Contributor(s): Mason, Alex [editor.] | Mukhopadhyay, Subhas Chandra [editor.] | Jayasundera, Krishanthi Padmarani [editor.] | Bhattacharyya, Nabarun [editor.] | SpringerLink (Online service)Material type: TextTextSeries: Smart Sensors, Measurement and InstrumentationPublication details: 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 resourceISBN: 9783319023151Subject(s): engineering | Analytical biochemistry | electronics | Telecommunication | Engineering | Electronics and Microelectronics, Instrumentation | Communications Engineering, Networks | Analytical ChemistryDDC classification: 621.381 LOC classification: TK7800-8360TK7874-7874.9Online resources: Click here to access online
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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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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