| Project/Area Number |
15K00103
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Software
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| Research Institution | The University of Aizu |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
Brine John 会津大学, コンピュータ理工学部, 教授 (60247624)
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| Co-Investigator(Renkei-kenkyūsha) |
渡部 有隆 会津大学, コンピュータ理工学部, 上級准教授 (30510408)
吉岡 廉太郎 会津大学, コンピュータ理工学部, 上級准教授 (00360008)
中里 直人 会津大学, コンピュータ理工学部, 上級准教授 (00392051)
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| Research Collaborator |
Mikhail Lavrentiev Novosibirsk State University, Professor
Andrey Marchuk ICM&MG SO RAN, Professor
Alexey Romanenko Novosibirsk State University, Associate Professor
Gordon Bateson Kochi University of Technology, Professor
Marcin Paprzycki Systems Research Institute of PAS, Professor
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2017: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2016: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2015: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Keywords | e-Learning / Tsunami-modeling / 高機能計算 / Digital Badges / 津波モデリング / 高性能計算 |
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| Outline of Final Research Achievements |
Based on the original Virtual-MVC paradigm, the main components of the on-line English Learning Management System (LMS) with Digital Badges were designed. The system has a convenient graphical interface for awarding points to students rapidly and repeatedly. The points accumulate and contribute toward digital badges, which are used as the mechanism for recording and recognizing achievements in an English village project at a university in Japan. The Tsunami Modeling and Education Environment is oriented to study and design methods of observing, measuring, collecting and processing GIS and tsunami data. The system allows the user to tune/edit bathymetric and Tsunami Source Data containing artificial underwater barriers, specify modeling scenario, distribute data over computational resources, execute the modeling process as well represent results. The pipelined Tsunami Modeling Infrastructure supports high-speed tsunami modeling on computers with rather limited computational resources.
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