Low dimensionality spectral sensing for low cost material discrimination and identification
Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2013.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2013
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| Online Access: | http://hdl.handle.net/1721.1/79331 |
| _version_ | 1811069683192823808 |
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| author | Bardagjy, Andrew Matthew |
| author2 | V. Michael Bove, Jr. |
| author_facet | V. Michael Bove, Jr. Bardagjy, Andrew Matthew |
| author_sort | Bardagjy, Andrew Matthew |
| collection | MIT |
| description | Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2013. |
| first_indexed | 2024-09-23T08:14:21Z |
| format | Thesis |
| id | mit-1721.1/79331 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T08:14:21Z |
| publishDate | 2013 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/793312022-01-18T17:20:07Z Low dimensionality spectral sensing for low cost material discrimination and identification Bardagjy, Andrew Matthew V. Michael Bove, Jr. Massachusetts Institute of Technology. Department of Architecture. Program in Media Arts and Sciences. Program in Media Arts and Sciences (Massachusetts Institute of Technology) Architecture. Program in Media Arts and Sciences. Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2013. Cataloged from PDF version of thesis. Includes bibliographical references (p. 191-193). Spectroscopy is a powerful tool in material identification, characterization and discrimination. Unfortunately industrial and laboratory spectrometers are typically very large, costly, and inconvenient. The aim of this thesis is to broaden the awareness and appeal of spectroscopic sensing modalities by exploring specialized, rather than general purpose instruments. Rather than sensing the entire spectrum, these devices work by observing just the particular spectral features needed to perform identification or discrimination. This approach greatly simplifies the instrument reducing the cost, size, power consumption, and analysis complexity by many orders of magnitude. In this work the anatomy of such specialized sensors is explored by way of a thorough discussion of illuminators, current sources, photodetectors, photodiode amplifiers, control systems and part selection. In the following chapters, instruments are designed and fabricated, and their tradeoffs are enumerated and discussed. Finally, these building-blocks are combined to construct several working prototypes which are informally characterized. by Andrew Matthew Bardagjy. S.M. 2013-06-17T19:56:47Z 2013-06-17T19:56:47Z 2013 2013 Thesis http://hdl.handle.net/1721.1/79331 847630222 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 193 p. application/pdf Massachusetts Institute of Technology |
| spellingShingle | Architecture. Program in Media Arts and Sciences. Bardagjy, Andrew Matthew Low dimensionality spectral sensing for low cost material discrimination and identification |
| title | Low dimensionality spectral sensing for low cost material discrimination and identification |
| title_full | Low dimensionality spectral sensing for low cost material discrimination and identification |
| title_fullStr | Low dimensionality spectral sensing for low cost material discrimination and identification |
| title_full_unstemmed | Low dimensionality spectral sensing for low cost material discrimination and identification |
| title_short | Low dimensionality spectral sensing for low cost material discrimination and identification |
| title_sort | low dimensionality spectral sensing for low cost material discrimination and identification |
| topic | Architecture. Program in Media Arts and Sciences. |
| url | http://hdl.handle.net/1721.1/79331 |
| work_keys_str_mv | AT bardagjyandrewmatthew lowdimensionalityspectralsensingforlowcostmaterialdiscriminationandidentification |