| Utilization of departmental computing GRID system for development of an artificial intelligent tapping inspection method, tapping sound analysis |
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Conference on High Performance Networking and Computing
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Proceedings of the 2002 ACM/IEEE conference on Supercomputing
table of contents
Baltimore, Maryland
Pages: 1 - 17
Year of Publication: 2002
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Authors
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Seung Jo Kim
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Seoul National University, Korea and San 56-1, Shilliom-dong Kwanak-gue, Seoul, Korea
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Joon-Seok Hwang
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Seoul National University, Korea
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Chang Sung Lee
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Seoul National University, Korea
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Sangsan Lee
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High Performance Computing and Networking Supercomputing Center, KISTI, Korea and Korean Institute of Science and Technology Information, Taejon, Korea
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IEEE Computer Society Press
Los Alamitos, CA, USA
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Downloads (6 Weeks): 2, Downloads (12 Months): 16, Citation Count: 1
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ABSTRACT
Tapping Sound Analysis is a new NDE method, which determines the existence of subsurface defects by comparing the tapping sound of test structure and original healthy structure. The tapping sound of original healthy structure is named sound print of the structure and is obtained through high precision computation. Because many tapping points are required to obtain the exact sound print data, many times of tapping sound simulation are required. The simulation of tapping sound requires complicated numerical procedures. Departmental Computing GRID system was utilized to run numerical simulations. Three cluster systems and one PC-farm system comprise DCG system. Tapping sound simulations were launched and monitored through Globus and CONDOR. A total of 160 Tera floating-point (double-precision) operations was performed and the elapsed time was 41,880 sec. From the numerical experiments, Grid computing technology reduced the necessary time to make sound print database and made TSA a feasible and practical methodology.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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Globus Project Team, Globus Project, World Wide Web, http://www.globus.org
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CONDOR Team, CONDOR High Throughput Computing, World Wide Web, http://www.cs.wisc.edu/condor
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CITED BY
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Jinyuan Jia , Kai Tang , Ki-wan Kwok, A novel algorithm for computing intersections of two surfaces of revolution, Geometric modeling: techniques, applications, systems and tools, Kluwer Academic Publishers, Norwell, MA, 2004
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