IDEAS home Printed from https://ideas.repec.org/h/spr/isochp/978-3-030-72822-9_7.html
   My bibliography  Save this book chapter

State Space Modeling for Size Changes

In: Data Science for Nano Image Analysis

Author

Listed:
  • Chiwoo Park

    (Florida State University)

  • Yu Ding

    (Industrial & Systems Engineering)

Abstract

In situ transmission electron microscope is a promising instrument to explore for the nanoscale world, allowing motion pictures to be taken while nano objects are initiating, crystalizing, and morphing into different sizes and shapes. To enable in-process control of nanocrystal production, this technology innovation needs a data science solution addressing the capability of online tracking of the underlying stochastic process of nanocrystal growth. A dynamic, time-varying probability distribution is used to reflect the collective behavior of nanocrystal growth, rather than the change in size and shape of individual particles. Chapter 7 focuses on dynamic modeling of size changes, whereas Chap. 8 presents dynamic modeling for shape changes or for both size and shape changes. Since no known parametric density function can adequately describe the evolving distribution associated with a multi-stage growth process, a nonparametric approach is inevitable. As such, the online tracking problem discussed in this chapter becomes the data science problem of modeling, estimating, and updating of a nonparametric, time-varying probability density distribution.

Suggested Citation

  • Chiwoo Park & Yu Ding, 2021. "State Space Modeling for Size Changes," International Series in Operations Research & Management Science, in: Data Science for Nano Image Analysis, chapter 0, pages 177-213, Springer.
    • Handle: RePEc:spr:isochp:978-3-030-72822-9_7
    DOI: 10.1007/978-3-030-72822-9_7
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:isochp:978-3-030-72822-9_7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.