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Active Interrogation in Nuclear Security pp 249–278Cite as

Data Interpretation and Algorithms

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Abstract

Detection of nuclear threats such as the presence and movement of materials that could be used to construct nuclear weapons is essential to nuclear security and may be accomplished by advanced active interrogation sensing systems. A key to performance of these sensing systems is the ability to analyze and interpret the acquired data. This chapter discusses the analysis and interpretation algorithms applied to data collected by sensing systems in the context of nuclear security. The structure of the chapter is as follows: Sect. 8.1 briefly discusses data analysis in nuclear security. Section 8.2 presents planar and tomographic imaging systems, and the following Sect. 8.3 presents data reduction techniques with the main focus on principal components. Section 8.4 introduces data unfolding methods, while Sect. 8.5 introduces sensor networks and distributed detection algorithms. The main conclusions are summarized at the end of the chapter.

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Author information

Authors and Affiliations

  1. Purdue University, West Lafayette, IN, USA

    Miltiadis Alamaniotis

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  1. Miltiadis Alamaniotis
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Correspondence to Miltiadis Alamaniotis .

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Editors and Affiliations

  1. Department of Nuclear Engineering and Radiological Sciences, University of Michigan, Ann Arbor, Michigan, USA

    Igor Jovanovic

  2. Nuclear & Radiological Engineering Program, G.W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA

    Anna S. Erickson

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Alamaniotis, M. (2018). Data Interpretation and Algorithms. In: Jovanovic, I., Erickson, A. (eds) Active Interrogation in Nuclear Security. Advanced Sciences and Technologies for Security Applications. Springer, Cham. https://doi.org/10.1007/978-3-319-74467-4_8

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