News
Would You Like a Large Shake with that Little Mac?
Published March 25, 2008
For Immediate Release
Media Contacts:
Jan Zverina
SDSC Communications
858 534-5111 or
jzverina@sdsc.edu
Warren R. Froelich
SDSC Communications
858 822-3622 or
froelich@sdsc.edu
What began as a way to prevent damage to the hard drive from a dropped laptop has led to an innovative project that lets seismology and engineering students or researchers study, store and share data to better understand the science of structural dynamics - be it a gentle tap or a full blown temblor.
Shake Per View
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While free downloads of the SeisMac 2.0 software, developed under a separate grant from the National Science Foundation, are available to turn Apple's OS X application laptops into real-time seismographs, the SDSC's iSeismograph project was envisioned as providing researchers with a data acquisition system for acceleration measurement using a widely available, cost-efficient and compact platform - a laptop computer.
"We believe this initiative has strong potential as an educational and research tool to stimulate interest in engineering and science at the earliest levels, and to promote the development of future leaders, particularly in the field of earthquake research," said Lelli Van Den Einde, assistant director of the NEESit program based at SDSC, an organized research unit at the University of California, San Diego. "In addition, the combination of commercially available technology and open source software creates an ideal environment for worldwide collaboration and access at the university and post-graduate levels."
SDSC researchers have already conducted a pilot classroom project with about 90 UCSD students participating as part of an undergraduate earthquake engineering course. The students, who had little or no experience in measuring structural dynamics, benefited from the visual and quantitative demonstrations, enabling researchers to suggest curriculums for future classroom demonstrations and study.
Specifically, SDSC researchers found a way to link the existing accelerometer and video sensor in all newer Macintosh laptops to its NEESit Real-time Data Viewer (RDV), which provides a graphical display of the movement. That, in turn, was linked to the Open Source Data Turbine, a streaming middleware system funded by the National Science Foundation used for sensor-based observing of a full range of environmental events, from structural analysis to weather data.
Once data from an event is captured in the Data Turbine server's archive, it is automatically transferred using the laptop's wireless network interface into the NEEScentral database repository, where students and researchers can collaborate on a global scale by analyzing, processing and sharing information. NEEScentral is a high-level data storage model that is universal to all earthquake engineering disciplines and contains information on how to archive and share data.
Software from the iSeismograph project for installation in any MacBook laptop can be downloaded for free. Data can be shared through the NEESit Data Repository (NEEScentral) after a user account is established online.
Researchers are scheduled to present full details of the iSeismograph project this October at the 38th annual ASEE/IEEE "Frontiers in Education" conference in Saratoga Springs, New York.
The iSeismograph initiative was funded by the NSF through the NEES Consortium, Inc., which manages NEES as a national, shared-use research facility encompassing 15 universities for the earthquake engineering community.
In addition to Van Den Einde, other SDSC researchers for the iSeismograph project include Wei Deng, production infrastructure support manager, and Paul Hubbard, with the Cyberinfrastructure Laboratory for Environmental Observing Systems (CLEOS) group. Additional members include Professor Ahmed Elgamal and graduate student Patrick Wilson, with UCSD's Jacobs School of Engineering; Terry Weymouth, an associate research scientist with the University of Michigan; and Jason Hanley, formerly with the University at Buffalo.
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Related Links
Open Source Data Turbine Initiative: www.dataturbine.org
National Science Foundation - www.nsf.gov