Abstract/Details

Design and implementation of pattern recognition algorithms for the detection of chemicals with a microcantilever sensor array


2007 2007

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Abstract (summary)

Nowadays, we are witnesses to the noticeable success in the development of a new class of chemical and biological sensors – microfabricated cantilever sensor arrays actuated at their resonance frequencies and functionalized by polymer coatings. The major advantages of such miniature sensors are their small size, fast response, remarkably high sensitivity, and the endless possibilities of reaching high selectivity via customized combination of polymer coatings. These devices are inexpensive, portable, and have the ability to operate in various environments, such as vacuum, air and liquids. The areas of applications of microfabricated cantilever sensor arrays are almost countless, including a variety of scientific research in physics, chemistry, biochemistry, biology, and genetics, food and beverage industry, perfume industry, pharmacology, medicine, environmental monitoring, and most recently, related to the national security due to a high risk of terrorist attacks.

However, despite the remarkable achievements in fabrication of microcantilever sensor arrays, creating an accurate and reliable pattern recognition algorithm as a part of the sensory system is still an essential and not yet completely solved problem. Most pattern analysis algorithms that have been used with the cantilever sensor arrays today are highly customized, ad hoc algorithms. They often lack generality and cannot be easily carried from one set of experimental data to another. Therefore, the main goal of the current work was developing a pattern recognition algorithm that can be highly effective on a given set of sensory data and easily adjustable to any new set of data.

Indexing (details)


Subject
Computer science
Classification
0984: Computer science
Identifier / keyword
Applied sciences
Title
Design and implementation of pattern recognition algorithms for the detection of chemicals with a microcantilever sensor array
Author
Nikitina, Asya F.
Number of pages
139
Publication year
2007
Degree date
2007
School code
0139
Source
MAI 46/03M, Masters Abstracts International
Place of publication
Ann Arbor
Country of publication
United States
ISBN
9780549337652
Advisor
Nicolescu, Monica
Committee member
Cline, Joseph I.; Nicolescu, Mircea
University/institution
University of Nevada, Reno
Department
Computer Science
University location
United States -- Nevada
Degree
M.S.
Source type
Dissertations & Theses
Language
English
Document type
Dissertation/Thesis
Dissertation/thesis number
1447605
ProQuest document ID
304839057
Copyright
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Document URL
http://search.proquest.com/docview/304839057
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