Re-sensing Infrastructure of Hidden Big-data Based on Archaeology Approach

2014 Fiscal Year Final Research Report

• Project/Area Number: 25540038
• Research Category: Grant-in-Aid for Challenging Exploratory Research
• Allocation Type: Multi-year Fund
• Research Field: Multimedia database
• Research Institution: Shizuoka University
• Principal Investigator: YOKOYAMA Shohei 静岡大学, 情報学研究科, 講師 (20443236)
• Co-Investigator(Kenkyū-buntansha): ISHIKAWA Hiroshi 首都大学東京, システムデザイン学部, 教授 (60326014)
• Co-Investigator(Renkei-kenkyūsha): YAMAMOTO Yukio 独立行政法人宇宙航空研究開発機構, 宇宙科学研究所, 助教 (50425790) ; YAMADA Ryuhei 独立行政法人国立天文台, RISE月惑星探査検討室, 研究員 (60647379)
• Project Period (FY): 2013-04-01 – 2015-03-31
• Keywords: 宇宙科学データ / ソーシャルデータ

Outline of Final Research Achievements

Large-scale seismic data were obtained from seismometers located on the Moon by the NASA Apollo missions from 1969 to 1977. We developed a web system for visualizing moonquakes considering the waveform similarity to progress study of moonquake classification. Our system maps moonquakes data to two dimensional output space using Self-Organizing Map (SOM). We implemented parallel-SOM based on Hadoop and Spark as back-end of moonquake analysis. We also evaluated several features based on classified data and discovered effective features from seismic data stream. Our visualization system can help researchers of moon quake to discover new knowledge of moon.

Free Research Field

データ工学