High Precision and Realtime Sensing of Underground Target by Ultrafast Analysis on GPU Cluster
| Project/Area Number |
24510259
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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 |
Natural disaster science
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| Research Institution | Sendai National College of Technology |
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Principal Investigator |
SONODA Jun 仙台高等専門学校, 知能エレクトロニクス工学科, 教授 (30290696)
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| Project Period (FY) |
2012-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥5,590,000 (Direct Cost: ¥4,300,000、Indirect Cost: ¥1,290,000)
Fiscal Year 2014: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2013: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2012: ¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
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| Keywords | 地中レーダ / 地下変位検出 / 不均質大地 / FDTD法 / GPUクラスタ / 地中探査 / 大規模自然災害 / 航空機搭載レーダ / 工学的捜索手法 / 地下構造推定 / 超高速シミュレーション / 地下構造解析 / 自然災害 / 誘電率測定 |
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| Outline of Final Research Achievements |
In this study, we have analyzed detection characteristics of a subsurface displacement by ground penetrating radar (GPR) using the finite-difference time-domain (FDTD) simulation with graphic processing units (GPUs) cluster. Inhomogeneous subsurface with many randomly placed scatters which are different in size and electric permittivity have been modeled, we have computed detection characteristics of subsurface displacement in the inhomogeneous subsurface models using the FDTD method. We have estimated the detection of subsurface displacement by cross correlation value between homogeneous and inhomogeneous GPR profiles. Moreover, we have shown that the use of GPU cluster is much more faster and practical than conventional method.
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Report
(4 results)
Research Products
(44 results)
