作者
Goutham Kamath, Wen-Zhan Song, Paritosh Ramanan, Lei Shi, Junjie Yang
发表日期
2015/10/1
研讨会论文
2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing (CIT/IUCC/DASC/PICOM)
页码范围
1244-1251
出版商
IEEE Computer Society
简介
Seismic tomographic imaging is a complex process for imaging the subsurface geological structures. It involves massive data acquisition, signal processing and computing. Traditionally, the voluminous data is logged in each station then manually gathered to a centralized location for post processing. It may take months to see the subsurface image. To see real-time subsurface dynamics, we developed a Distributed Real-Time In-Situ Seismic Tomographic Imaging (DRISTI) system. Unlike the traditional system, it has smart in-situ processing and computing capability that can compute seismic images in real-time. Additionally, each station is equipped with a low-power radio unit that enables collaborative signal processing via a mesh network. We demonstrate the capability of this system by performing experiments with real seismic data traces as well as outdoor experiments. The evaluation shows that the DRISTI …
引用总数
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G Kamath, WZ Song, P Ramanan, L Shi, J Yang - 2015 IEEE International Conference on Computer and …, 2015