Task-driven Adaptive Sensing on Quadrupole Mass Filter Systems for Classification

Evan Xuguang Chen; Wenzhao Lian; Lawrence Carin; David J. Brady

Task-driven Adaptive Sensing on Quadrupole Mass Filter Systems for Classification

Evan Xuguang Chen, Wenzhao Lian, Lawrence Carin, David J. Brady^*

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

An information-theoretical adaptive sensing and classification framework is proposed for Quadrupole mass filter systems. Simulation results demonstrate significant reduction in number of measurement and improvement of classification accuracy using the adaptive approach compared with baselines.

Original language	English (US)
Title of host publication	Computational Optical Sensing and Imaging, COSI 2015
Publisher	Optica Publishing Group (formerly OSA)
ISBN (Electronic)	9781557528209
State	Published - 2015
Externally published	Yes
Event	Computational Optical Sensing and Imaging, COSI 2015 - Arlington, United States Duration: Jun 7 2015 → Jun 11 2015

Publication series

Name	Optics InfoBase Conference Papers

Conference

Conference	Computational Optical Sensing and Imaging, COSI 2015
Country/Territory	United States
City	Arlington
Period	06/7/15 → 06/11/15

Bibliographical note

Publisher Copyright:
© 2015 OSA.

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Mechanics of Materials

Cite this

@inproceedings{789e651df0c54414a600383b95e944ea,

title = "Task-driven Adaptive Sensing on Quadrupole Mass Filter Systems for Classification",

abstract = "An information-theoretical adaptive sensing and classification framework is proposed for Quadrupole mass filter systems. Simulation results demonstrate significant reduction in number of measurement and improvement of classification accuracy using the adaptive approach compared with baselines.",

author = "Chen, {Evan Xuguang} and Wenzhao Lian and Lawrence Carin and Brady, {David J.}",

note = "Publisher Copyright: {\textcopyright} 2015 OSA.; Computational Optical Sensing and Imaging, COSI 2015 ; Conference date: 07-06-2015 Through 11-06-2015",

year = "2015",

language = "English (US)",

series = "Optics InfoBase Conference Papers",

publisher = "Optica Publishing Group (formerly OSA)",

booktitle = "Computational Optical Sensing and Imaging, COSI 2015",

}

Task-driven Adaptive Sensing on Quadrupole Mass Filter Systems for Classification. / Chen, Evan Xuguang; Lian, Wenzhao; Carin, Lawrence et al.
Computational Optical Sensing and Imaging, COSI 2015. Optica Publishing Group (formerly OSA), 2015. CTh2E.3 (Optics InfoBase Conference Papers).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Task-driven Adaptive Sensing on Quadrupole Mass Filter Systems for Classification

AU - Chen, Evan Xuguang

AU - Lian, Wenzhao

AU - Carin, Lawrence

AU - Brady, David J.

PY - 2015

Y1 - 2015

N2 - An information-theoretical adaptive sensing and classification framework is proposed for Quadrupole mass filter systems. Simulation results demonstrate significant reduction in number of measurement and improvement of classification accuracy using the adaptive approach compared with baselines.

AB - An information-theoretical adaptive sensing and classification framework is proposed for Quadrupole mass filter systems. Simulation results demonstrate significant reduction in number of measurement and improvement of classification accuracy using the adaptive approach compared with baselines.

UR - http://www.scopus.com/inward/record.url?scp=85136277257&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85136277257

T3 - Optics InfoBase Conference Papers

BT - Computational Optical Sensing and Imaging, COSI 2015

PB - Optica Publishing Group (formerly OSA)

T2 - Computational Optical Sensing and Imaging, COSI 2015

Y2 - 7 June 2015 through 11 June 2015

ER -

Task-driven Adaptive Sensing on Quadrupole Mass Filter Systems for Classification

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus subject areas

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Cite this