NDLI: Developing Intelligent Radiation Analysis Systems: A Hybrid Wave-Fuzzy Methodology for Analysis of Radiation Spectra

Content Provider	IEEE Xplore Digital Library
Author	Alamaniotis, M. Tsoukalas, L.H.
Copyright Year	2015
Description	Author affiliation: Appl. Intell. Syst. Lab., Purdue Univ., West Lafayette, IN, USA (Alamaniotis, M.; Tsoukalas, L.H.)
Abstract	Analysis of measured radiation spectra is performed using specialized algorithms developed to identify isotopic signature patterns that indicate the presence of specific radioisotopes in the presence of a radiation background signal. In this paper an intelligent methodology for detection of signature patterns in measured radiation spectra is presented. In particular, the methodology performs signature detection by implementing two computational tools: i) wavelet processing, and ii) fuzzy logic inference. Initially, wavelet processing is applied to identify spectral maxima in the measured signal, subsequently a fuzzy logic inference engine is employed to match detected maxima to known entries in a isotope peak library. The library is comprised of entries that represent the known energy of characteristic peaks for specific isotopic signatures. The presented methodology is benchmarked against a multiple linear regression (MLR) spectrum fitting algorithm applied to a set of synthesized gamma-ray spectra taken with a low resolution NaI radiation detector while the presented methodology outperforms MLR in the vast majority of the tests by providing correct detections with high confidence, and a low number of false detections.
Starting Page	1114
Ending Page	1121
File Size	554355
Page Count	8
File Format	PDF
ISSN	10823409
e-ISBN	9781509001637
DOI	10.1109/ICTAI.2015.158
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-11-09
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Isotopes Gamma-rays Fuzzy logic Libraries Continuous wavelet transforms spectrum analysis fuzzy logic wavelets radiation signals
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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