Estimation of Plasma Emission Transition Using Hidden Markov Model-Reference-Cited by-同舟云学术

Estimation of Plasma Emission Transition Using Hidden Markov Model

Published:2018-09-25 Issue:0 Volume:13 Page:3405117-3405117
ISSN:1880-6821
Container-title:Plasma and Fusion Research
language:en
Short-container-title:Plasma and Fusion Research

Author:

NAKAGAWA Shota¹,HOCHIN Teruhisa¹²,NOMIYA Hiroki¹,NAKANISHI Hideya²

Affiliation:

1. Kyoto Institute of Technology

2. National Institute for Fusion Science

Publisher

Japan Society of Plasma Science and Nuclear Fusion Research

Subject

Condensed Matter Physics

Link

https://www.jstage.jst.go.jp/article/pfr/13/0/13_3405117/_pdf

Reference8 articles.

1. [1] Large Helical Device Project Home Page, http://www.lhd.nifs.ac.jp/ (reference 12-21-2017).

2. [2] M. Shoji, K. Yamazaki and S. Yamaguchi, “Development of the Real-time lmage Data Acquisition System for Observing the Plasma Dynamic Behavior of LHD Long-pulse Discharges”, J. Plasma Fusion Res. SERIES 3, 440 (2000).

3. [3] J. Bilmes, “A gentle tutorial on the EM algorithm and its application to parameter estimation for Gaussian mixture and hidden markov models” (Technical Report ICSI-TR-97-02, University of Berkeley, 1997).

4. [4] H. Woo, Y. Ji, H. Kono and Y. Tamura, “Estimation Method for Lane Changes of Other Traffic Participants Using State-Unit based Hidden Markov Models”, Robotics Symposia proceedings 21, 222 (2016).

5. [5] H. Ohya and S. Morishima, “Automatic Music Video Generating System by Learning Existing Contents Based on Hidden Markov Model”, Music and computer (MUS) Technical Report 2012-MUS-95, 1 (2012).

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