University of Illinois Urbana-Champaign

Radiation source detection from mobile sensor networks using principal component analysis

Zhao, Jifu

Content Files
ZHAO-THESIS-2016.pdf

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https://hdl.handle.net/2142/92861

Description

Title
Radiation source detection from mobile sensor networks using principal component analysis
Author(s)
Zhao, Jifu
Issue Date
2016-07-18
Director of Research (if dissertation) or Advisor (if thesis)
Sullivan, Clair J.
Committee Member(s)
Mohaghegh, Zahra
Department of Study
Nuclear, Plasma, & Rad Engr
Discipline
Nuclear, Plasma, Radiolgc Engr
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Date of Ingest
2016-11-10T17:55:16Z
Keyword(s)
  • Radiation detection
  • mobile sensor networks
  • principal component analysis
Abstract
Detecting the presence of possible illicit radioactive materials in large areas is challenging because of changing background radiation, shielding effects and short collection time, especially when the radioactive materials are moving. The concept of mobile sensor networks is put forward to solve this problem. In this thesis, a small mobile sensor network is established using commercially available radiation detectors and cell phones. A spectrum decomposition and reconstruction method based on Principal Component Analysis (PCA) is proposed to work with mobile sensor networks. Two experiments are designed to test this method's performance on real-world data. The PCA-based method's performance is analyzed using receiver operating characteristic, or ROC curves. Further study finds that although the PCA-based method doesn't work well on current mobile sensor networks, its performance can be improved by increasing the radiation spectral quality.
Graduation Semester
2016-08
Type of Resource
text
Permalink
http://hdl.handle.net/2142/92861
Copyright and License Information
Copyright 2016 Jifu Zhao

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