2026-09-20T09:55:30Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/92861 2023-07-11 col_2142_5131 com_2142_5130

Sullivan, Clair J. Mohaghegh, Zahra Zhao, Jifu 2016-11-10T17:55:16Z 2016-11-10T17:55:16Z 2016-07-18 2016-08 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. Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2016-11-09 without embargo terms The student, Jifu Zhao, accepted the attached license on 2016-07-18 at 09:17. The student, Jifu Zhao, submitted this Thesis for approval on 2016-07-18 at 09:31. This Thesis was approved for publication on 2016-07-18 at 14:23. DSpace SAF Submission Ingestion Package generated from Vireo submission #9979 on 2016-11-09 at 10:25:19 Made available in DSpace on 2016-11-10T17:55:16Z (GMT). No. of bitstreams: 2 ZHAO-THESIS-2016.pdf: 7679647 bytes, checksum: 1349d6d4bc796b765339b40557843c47 (MD5) LICENSE.txt: 4206 bytes, checksum: 7a47ec65ea7e455b7dde22f78e3f4c14 (MD5) Previous issue date: 2016-07-18 application/pdf http://hdl.handle.net/2142/92861 en Copyright 2016 Jifu Zhao Radiation detection mobile sensor networks principal component analysis Radiation source detection from mobile sensor networks using principal component analysis text text Nuclear, Plasma, & Rad Engr Nuclear, Plasma, Radiolgc Engr University of Illinois at Urbana-Champaign Thesis M.S.