An MEG Data Analysis System Using Grid Technology

• Item type: Journal(1)
• 公開日: 2001-12-15
• タイトル: An MEG Data Analysis System Using Grid Technology
• タイトル / 言語: en
• タイトル: An MEG Data Analysis System Using Grid Technology
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: 特集：次世代のインターネット／分散システムの構築・運用技術
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_6501
• 資源タイプ: journal article
• その他タイトル / その他のタイトル: 分散システム
• 著者所属: Department of Information Systems Engineering Graduate School of Engineering Osaka University
• 著者所属: Division of Interdisciplinary Image Analysis OsakaUniversity Graduate School of Medicine
• 著者所属: Graduate School of Information Science Nara Instituteof Science an
• 著者所属(英): en
• 著者所属(英): Department of Information Systems Engineering, Graduate School of Engineering, Osaka University
• 著者所属(英): en
• 著者所属(英): Department of Information Systems Engineering, Graduate School of Engineering, Osaka University/Osaka Jonan Women's University/Division of Interdisciplinary Image Analysis, Osaka University Graduate School of Medicine
• 著者所属(英): en
• 著者所属(英): Graduate School of Information Science, Nara Instituteof Science and Technology
• 著者所属(英): en
• 著者所属(英): Cybermedia Center, Osaka University
• 著者名: Susumu, Date; YukoMizuno-Matsumoto; Youki, Kadobayashi; Shinji, Shimojo
• 著者名(英): Susumu, Date; Yuko, Mizuno-Matsumoto; Youki, Kadobayashi; Shinji, Shimojo
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: 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.
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: 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.
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AN00116647
• 書誌情報: 情報処理学会論文誌; 巻 42, 号 12, p. 2952-2962, 発行日 2001-12-15
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 1882-7764