Event-based feature extraction for analyzing the first damage of coral under temperature and light intensity stressor

Wahjoe Tjatur Sesulihatien, Sompop Rungsupa, Aran Hansuebai, Petchporn Chawkitchareon, Shiori Sasaki, Yasushi Kiyoki

研究成果: Conference contribution

1 引用 (Scopus)

抜粋

This paper deals with event-based feature extraction to analyze the incubation time of coral under two stressor: Temperature and light intensity. The study is conducted in Kho Sichang Island, Thailand during hot season. The method for extracting the important events is Hilbert Huang Transform (HHT). The event as a result of Empirical Mode Decomposition (EMD) and Instantaneous Frequency (IF) are confirmed with the time duration of first symptom appearance in Acrophora Hummilis coral. The result shows variation of incubation time of coral disease under different event combination. The important finding in this research is incubation time of coral disease under different situation. It is important for early warning in coral damage.

元の言語English
ホスト出版物のタイトル2016 International Conference on Knowledge Creation and Intelligent Computing, KCIC 2016
出版者Institute of Electrical and Electronics Engineers Inc.
ページ113-119
ページ数7
ISBN(電子版)9781509052318
DOI
出版物ステータスPublished - 2017 3 20
イベント5th International Conference on Knowledge Creation and Intelligent Computing, KCIC 2016 - Manado, Indonesia
継続期間: 2016 11 152016 11 17

Other

Other5th International Conference on Knowledge Creation and Intelligent Computing, KCIC 2016
Indonesia
Manado
期間16/11/1516/11/17

    フィンガープリント

ASJC Scopus subject areas

  • Computer Science Applications
  • Artificial Intelligence

これを引用

Sesulihatien, W. T., Rungsupa, S., Hansuebai, A., Chawkitchareon, P., Sasaki, S., & Kiyoki, Y. (2017). Event-based feature extraction for analyzing the first damage of coral under temperature and light intensity stressor. : 2016 International Conference on Knowledge Creation and Intelligent Computing, KCIC 2016 (pp. 113-119). [7883634] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/KCIC.2016.7883634