3D Visualization of Earthquake Big Data

Lieu Hen Chen, Hao Ming Hung, Chun Yu Chen, Hsiao Kuang Wu, Yasufumi Takama, Toru Yamaguchi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Visualization is one of the most intuitive and perceptible way for information representation. It is especially true for data which is too complex, or too large to be easily handled. Many visualization techniques are developed for effectively representing different type of information. However, few of them dealt with the earthquake big data. In recent year, strong earthquake disasters occur very frequently around the world. Many scientists suggested that earth has entered the active seismic period. Taiwan is located in a seismically active zone, too. Therefore, in this project, we developed a 3D visualization system which aims to further enhance users' awareness of earthquakes in Taiwan.

Original languageEnglish
Title of host publicationProceedings - 2017 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages72-75
Number of pages4
ISBN (Electronic)9781538642030
DOIs
StatePublished - 9 May 2018
Event2017 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2017 - Taipei, Taiwan
Duration: 1 Dec 20173 Dec 2017

Publication series

NameProceedings - 2017 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2017

Conference

Conference2017 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2017
Country/TerritoryTaiwan
CityTaipei
Period1/12/173/12/17

Keywords

  • Big Data
  • Earthquake
  • information representation
  • Visualization

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