@article{oai:ipsj.ixsq.nii.ac.jp:00011788,
 author = {Susumu, Date and YukoMizuno-Matsumoto and Youki, Kadobayashi and Shinji, Shimojo and Susumu, Date and Yuko, Mizuno-Matsumoto and Youki, Kadobayashi and Shinji, Shimojo},
 issue = {12},
 journal = {情報処理学会論文誌},
 month = {Dec},
 note = {Recently  the lack of computational power for analyzing scientific data  and the distribution of knowledge (by scientists) and technologies (for advanced scientific devices) are two major problems which are common in every scientific field. Emerging grid technology provides a new computational platform for a variety of scientific problems. MEG (magnetoencephalography) data analysis is an important research topic in brain science. In MEG data analysis  the lack of computational  power and the distribution of knowledge and technologies lead to inefficient diagnoses and analyses of brain functions.  In this research  we have built an MEG data analysis system on a grid environment  simulated with Globus grid toolkit  which is an implementation of grid technology. In this system  we attempted to reduce analysis time and to seamlessly integrate computational resources. Our evaluation results show that the system was highly efficient in reducing analysis time. Furthermore  we succeeded in integrating computers on our grid environment to seamlessly transfer data between each other. We believe that grid technology is effective and promising for real-life medical and scientific problems., Recently, the lack of computational power for analyzing scientific data, and the distribution of knowledge (by scientists) and technologies (for advanced scientific devices) are two major problems which are common in every scientific field. Emerging grid technology provides a new computational platform for a variety of scientific problems. MEG (magnetoencephalography) data analysis is an important research topic in brain science. In MEG data analysis, the lack of computational  power and the distribution of knowledge and technologies lead to inefficient diagnoses and analyses of brain functions.  In this research, we have built an MEG data analysis system on a grid environment, simulated with Globus grid toolkit, which is an implementation of grid technology. In this system, we attempted to reduce analysis time and to seamlessly integrate computational resources. Our evaluation results show that the system was highly efficient in reducing analysis time. Furthermore, we succeeded in integrating computers on our grid environment to seamlessly transfer data between each other. We believe that grid technology is effective and promising for real-life medical and scientific problems.},
 pages = {2952--2962},
 title = {An MEG Data Analysis System Using Grid Technology},
 volume = {42},
 year = {2001}
}