Change Point Detection

Chiwoo Park () and Yu Ding ()
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Chiwoo Park: Florida State University
Yu Ding: Industrial & Systems Engineering

Chapter Chapter 9 in Data Science for Nano Image Analysis, 2021, pp 241-275 from Springer

Abstract: Abstract In situ TEM and other dynamic imaging instruments alter the landscape of materials science and engineering. The unique and unprecedented ability to observe the transformation of nanoscale objects as it occurs is unparalleled in comparison to other material characterization methods, and is of tremendous value to material scientists and engineers who study matter at nanoscale dimensions. One important task in such effort is to detect changes in the evolving nano objects, typically associated with their morphological features, i.e., size and shape. The changes to be detected are the significant ones that cannot be explained by random fluctuation and should be associated with assignable causes. These significant change points are believed to delineate an evolution process of nano objects. In other words, the governing dynamics or evolution mechanisms, before and after a change point, are supposed to differ. It is of interest to detect both size change and shape change in nano objects. After laying out some basic knowledge about change point detection in Sect. 9.1, the rest of the chapter presents a method for detecting size-only changes in Sect. 9.2 and a second method for detecting both size and shape changes in Sects. 9.3 and 9.4.

Date: 2021
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DOI: 10.1007/978-3-030-72822-9_9

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