An Offline-Based On-Demand Visualization System of Large-Scale Particle Simulation for Tsunami Disaster Prevention

Masaharu Isshiki, Mitsuteru Asai, Shimon Eguchi, Yoshiya Miyagawa

研究成果: Contribution to journalArticle査読

抄録

After the Great East Japan Earthquake Tsunami, new Tsunami disaster-prevention and mitigation methods for the next millennium Tsunami are actively being discussed. Consequently, the methods have highlighted the importance of both hard disaster-prevention method, which means direct prevention using infrastructure such as breakwater, and soft disaster-prevention method, including disaster-prevention education. In this paper, a visualization and polygonization system that can be effectively utilized for Tsunami disaster prevention is proposed for large-scale particle simulation. The system includes two important features, such as engineering-purposed visualization and polygonization for hard and soft tsunami disaster-prevention methods, respectively. Moreover, the system can handle the large-scale particle simulation data that are computed by a high-performance computer via an offline on-demand tool without data transfer.

本文言語英語
ページ(範囲)55-62
ページ数8
ジャーナルElectronics and Communications in Japan
101
4
DOI
出版ステータス出版済み - 4 2018

All Science Journal Classification (ASJC) codes

  • 信号処理
  • 物理学および天文学(全般)
  • コンピュータ ネットワークおよび通信
  • 電子工学および電気工学
  • 応用数学

フィンガープリント

「An Offline-Based On-Demand Visualization System of Large-Scale Particle Simulation for Tsunami Disaster Prevention」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル