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Sensing technology [electronic resource] : current status and future trends. III / Alex Mason, Subhas Chandra Mukhopadhyay, Krishanthi Padmarani Jayasundera, editors.

Mason, Alex, editor.; Mukhopadhyay, Subhas Chandra, editor.; Jayasundera, Krishanthi P., editor.
2014
TK7835
Available Online
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Title
Sensing technology [electronic resource] : current status and future trends. III / Alex Mason, Subhas Chandra Mukhopadhyay, Krishanthi Padmarani Jayasundera, editors.
ISBN
9783319109480 electronic book
3319109480 electronic book
9783319109473
DOI
https://doi.org/10.1007/978-3-319-10948-0
Published
Cham : Springer, 2014.
Language
English
Description
1 online resource.
Item Number
10.1007/978-3-319-10948-0 doi
Call Number
TK7835
Dewey Decimal Classification
621.381
Summary
This book contains a collection of selected works stemming from the 2013 International Conference on Sensing Technology (ICST), which was held in Wellington, New Zealand. The purpose of the book is to distill the highlights of the conference, and therefore track the latest developments in sensing technologies. The book contents are broad, since sensors can be applied in many different areas. Therefore the book gives 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.
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Access limited to authorized users.
Source of Description
Description based on print version record.
Added Author
Mason, Alex, editor.
Mukhopadhyay, Subhas Chandra, editor.
Jayasundera, Krishanthi P., editor.
Series
Smart sensors. measurement and instrumentation ; volume 11.
Available in Other Form
Sensing Technology: Current Status and Future Trends
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From the Contents: Review of the use of the optical fibers for safety applications in tunnels and car parks: pollution monitoring, fire and explosive gas detection
Evanescent wave absorption based fiber-optic sensor
cascading of bend and tapered geometry for enhanced sensitivity
Design of High-Resolution Optical Systems for Fast and Accurate Surface Reconstruction
On the use of light sensors and pattern recognition techniques for automated detection of street lighting lamps.

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