JpGU Meeting 2018
Session outline| Multidisciplinary and Interdisciplinary(M) | ||
|---|---|---|
| Session Sub-category | Applied Geosciences | |
| Session ID | M-AG32 | |
| Related Fields | S, P, A | |
| Title | Marine Earth Informatics | |
| Short Title | Matine Earth Informatics | |
| Main Convener | Name | Seiji Tsuboi |
| Affiliation | JAMSTEC, Center for Earth Information Science and Technology | |
| Co-Convener 1 | Name | Keiko Takahashi |
| Affiliation | Japan Agency for Marine and Earth Science and Technology | |
| Co-Convener 2 | Name | Masaki Kanao |
| Affiliation | National Institute of Polar Research | |
| Session Language | EJ | |
| Scope | In advancing the research of marine Earth science, observation and computer simulation is an essential element. In recent years, the performance of the observation apparatus is dramatically improved, along with the means of observation is diversified. It is becoming possible to observe in a resolution, which was not imaginable so far. Such data to be generated from the observation is tremendously large in quantity and its quality is drastically improved. To handle these huge and high quality dataset for data analysis, we need to have a high speed and large memory computer system but such a system now becomes within reach in our hands by the recent dramatic improvement of high performance computer system. On the other hand, researchers who can use this kind of large-scale computer in their studies are still quite limited. In this session, we try to review the situation of observation data that has undergone a dramatic change regarded with both quality and quantity in recent years of marine Earth science research. We also try to review the situation from a professional standpoint of simulation about the status of the high performance computer system to analyze these 'big data'. Also we focus on the state of the art data analysis technique and aim to share the outlook from the professional standpoint of computational science and professional position of observation science about the future direction of the marine Earth informatics research. | |
| Presentation Format | Oral and Poster presentation | |
| Invited Authors |
| |
| Time | Presentation No | Title | Presenter | Abstract |
|---|---|---|---|---|
| Oral Presentation May 23 PM1 | ||||
| 13:45 - 14:05 | MAG32-01 | Visualization technology for machines to understand Bigdata: Automatic selection of feature vectors and barbarization of data analysis methods | Tomoyuki Higuchi | Abstract |
| 14:05 - 14:20 | MAG32-02 | Utilization of Deep Learning in mapping of the ocean floor: Extraction of brittle stars by image recognition, seagrass distribution using image to image translation | Takehisa Yamakita | Abstract |
| 14:20 - 14:35 | MAG32-03 | Development of Drilling Data Acquisition System and Attempt of Anomaly Detection from Drilling Data with Machine Learning | Tomoya Inoue | Abstract |
| 14:35 - 14:50 | MAG32-04 | Scientific Visualization of Climate Simulation Data for Deep Convolutional Neural Network | Daisuke Matsuoka | Abstract |
| 14:50 - 15:10 | MAG32-05 | Recent advances of deep learning for HPC and GPU computer systems | Kazuhiro Yamasaki | Abstract |
| Oral Presentation May 23 PM2 | ||||
| 15:30 - 15:45 | MAG32-06 | To extract “right” information from a huge marine biodiversity information pool | Hosono Takashi | Abstract |
| 15:45 - 16:00 | MAG32-07 | Multiscale-Multilayer Data Assimilation System for Smart Weather Forecasting | Onishi Ryo | Abstract |
| 16:00 - 16:15 | MAG32-08 | A study on the thermal environment of "Yato" area in hilly city -Analyzing air temperature and wind distribution by observation and numerical calculation- | Makoto Yokoyama | Abstract |
| 16:15 - 16:30 | MAG32-09 | Thermal environment in sea faced district | Tooru Sugiyama | Abstract |
| 16:30 - 16:45 | MAG32-10 | Ocean Data Publication for Broad Utilization in JAMSTEC | Tomoki Sasaki | Abstract |
| 16:45 - 17:00 | MAG32-11 | Seismic observations at Syowa Station and surrounding region of Antarctica - Sciece targets and data management for long-term monitoring - | Masaki Kanao | Abstract |
| Presentation No | Title | Presenter | Abstract |
|---|---|---|---|
| Poster Presentation May 23 Core Time | |||
| MAG32-P01 | Near real-time forecasts using global nonhydrostatic model on the Earth Simulator during intensive observations. | Mikiko Ikeda | Abstract |
| MAG32-P02 | Detection and identification of multiple-type earthquakes based on deep learning approach | Masaru Nakano | Abstract |
| MAG32-P03 | Earth Sciences big data analysis using Unsupervised Deep Learning, and challenge to "Earth Search". | Daisuke Sugiyama | Abstract |
| MAG32-P04 | Data visualization service for the earth science | Koji Imai | Abstract |
| MAG32-P05 | CAVELibWrapper: Development of a CAVELib Compatible Library for HMD-type VR Systems | Shintaro Kawahara | Abstract |
| MAG32-P06 | Seamless Visualization of Weather Forecast Information with Nested Structure on Digital Globe | Shintaro Kawahara | Abstract |
| MAG32-P07 | Geological Evolution of JAMSTEC DARWIN Database | Takayuki Tomiyama | Abstract |
| MAG32-P08 | Quasi-Real-Time Surface Current Information of the Eastern Tsugaru Strait via Ocean Radar data Site "MORSETS" | Hiroki Horikawa | Abstract |