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NAGAO Hiromichi  長尾 大道

Researcher Number 80435833
Other IDs
  • ORCIDhttps://orcid.org/0000-0003-4314-5093
Affiliation (Current) 2025: 東京大学, 地震研究所, 准教授
Affiliation (based on the past Project Information) *help 2013 – 2025: 東京大学, 地震研究所, 准教授
2011 – 2012: 統計数理研究所, データ同化研究開発センター, 特任准教授
2006 – 2008: 海洋研究開発機構, 地球内部変動研究センター, 研究員
2006 – 2007: 独立行政法人海洋研究開発機構, 地球内部変動研究センター, 研究員
Review Section/Research Field
Principal Investigator
Medium-sized Section 60:Information science, computer engineering, and related fields / Statistical science / Complex systems / Sensitivity informatics/Soft computing / Solid earth and planetary physics
Except Principal Investigator
Broad Section J / Basic Section 60030:Statistical science-related / Statistical science / High performance computing / Environmental dynamic analysis / Structural engineering/Earthquake engineering/Maintenance management engineering / Statistical science / Solid earth and planetary physics
Keywords
Principal Investigator
データ同化 / 地震 / ベイズ統計学 / Ginzburg-Landau方程式 / 4次元変分法 / マルコフ連鎖モンテカルロ法 / 疎性モデリング / モデリング / 不確実性評価 / レプリカ交換モンテカルロ法 … More / スパースモデリング / 逐次ベイズフィルタ / データ駆動型モデリング / lasso / 粒子フィルタ / スロー地震 / ビッグデータ / 深層学習 / 国際共同研究 / 人工知能 / 代替関数 / サロゲートモデル / サンプリング / 情報統計 / フェーズフィールドモデル / 地震波伝播 / 摩擦 / 地震波 / 時系列解析 / 最適化 / 非凸最適化 / 正則化 / フェーズフィールド法 / 首都圏地震観測網 / モデル選択 / クリギング / プレート境界 / 火山 / 固体地球科学 / 次元圧縮 / 地震動イメージング / ベイズ統計 / グラフィカルユーザインターフェース / ライブラリ / 細胞質流動 / 並列計算 / 微気圧 / 事後分布 / マルコフ連鎖モンテカルロ / 南海トラフ地震 / 地震音波 / クラウドコンピューティング / GPS-TEC / 大気振動 / GPS / 電離層 / 地球自由振動 … More
Except Principal Investigator
データ同化 / 機械学習 / 自動チューニング / 地震動 / 地球観測 / 混合精度演算 / 精度保証 / 高性能・高信頼性・省電力アルゴリズム / エクサスケールシステム / 計算科学・データ科学・機械学習の融合 / ヘテロジニアス環境 / 混合精度演算・精度保証 / データ駆動型アプローチ / 大規模シミュレーション / 「計算・データ・学習」融合 / ヘテロジニアスコンピューテイング / ヘテロジニアスコンピューティング / 低精度・混合精度・変動精度演算 / 計算科学 / スーパーコンピューティング / パワー寄与率 / 多変量時系列 / 時系列の分解 / R / 統計ソフトウェア / 状態空間モデル / 多変量解析 / 季節調整法 / 自然災害 / エコーステートネットワーク / 動径基底関数ネットワーク / ガウス過程モデル / 台風 / リスク解析 / 時空間統計 / 通信削減 / 通信回避アルゴリズム / メニーコア / 性能モデル / ハイパフォーマンス・コンピューティング / 疎行列反復解法 / 通信回避アリゴリズム / スレッド並列化 / ポストムーア / マルチコア / 時空間ブロッキング / ループ変換 / 通信削減アルゴリズム / 波動伝播モデリング / 波浪脈動 / 南極域 / 可聴下波動 / 極地 / 環境変動 / 環境分析 / 物理相互作用 / 雪氷圏変動 / 地球温暖化 / 微気圧変動 / 多圏融合物理現象 / 氷震微動 / 脈動波浪 / インフラサウンド / 温暖化 / 氷河地震 / 効率的可視化 / 求解高速化 / 構造力学 / 連続体力学 / メタモデリング理論 / 地震被害 / 地震災害 / 地理情報システム(GIS) / 統合計算 / 大規模数値計算 / 地理情報システム(GIS) / モデル自動構築 / 地震防災・減災 / 都市シミュレーション / 大規模数値解析 / 地震被害推定 / 地震災害推定 / 波動方程式 / 地震応答 / 地震災害・被害予測 / 都市モデル / 高性能計算 / 地震防災 / ベイズモデル / 並列計算 / ベイズモデリング / コンピュータ支援統計 / 統計計算 / 地球、惑星内部構造 / GDS / ネットワークMT / スタグナントスラブ / 大陸縁辺部 / 地殻マントル物質 / 地球・惑星内部構造 / 地球 / 地球電磁気 Less
  • Research Projects

    (18 results)
  • Research Products

    (349 results)
  • Co-Researchers

    (65 People)
  •  未知の地震現象発見とその物理プロセス解明に資する革新的数理プロトコルの開拓Principal Investigator

    • Principal Investigator
      長尾 大道
    • Project Period (FY)
      2025 – 2028
    • Research Category
      Grant-in-Aid for Challenging Research (Pioneering)
    • Review Section
      Medium-sized Section 60:Information science, computer engineering, and related fields
    • Research Institution
      The University of Tokyo
  •  Mathematical Foundation for Seismic Modeling Pioneered by Information StatisticsPrincipal Investigator

    • Principal Investigator
      長尾 大道
    • Project Period (FY)
      2023 – 2027
    • Research Category
      Grant-in-Aid for Scientific Research (A)
    • Review Section
      Medium-sized Section 60:Information science, computer engineering, and related fields
    • Research Institution
      The University of Tokyo
  •  International Joint Research on Seismological Big Data Analysis Techniques Using Artificial IntelligencePrincipal Investigator

    • Principal Investigator
      長尾 大道
    • Project Period (FY)
      2023 – 2026
    • Research Category
      Fund for the Promotion of Joint International Research (International Collaborative Research)
    • Review Section
      Medium-sized Section 60:Information science, computer engineering, and related fields
    • Research Institution
      The University of Tokyo
  •  Development of a sequential/non-sequential hybrid-type data assimilation methodPrincipal Investigator

    • Principal Investigator
      長尾 大道
    • Project Period (FY)
      2020 – 2024
    • Research Category
      Grant-in-Aid for Challenging Research (Exploratory)
    • Review Section
      Medium-sized Section 60:Information science, computer engineering, and related fields
    • Research Institution
      The University of Tokyo
  •  Innovative Methods for Scientific Computing in the Exascale Era by Integrations of (Simulation+Data+Learning)

    • Principal Investigator
      Nakajima Kengo
    • Project Period (FY)
      2019 – 2023
    • Research Category
      Grant-in-Aid for Scientific Research (S)
    • Review Section
      Broad Section J
    • Research Institution
      The University of Tokyo
  •  Research and development of multivariate seasonal adjustment method

    • Principal Investigator
      Kitagawa Genshiro
    • Project Period (FY)
      2018 – 2021
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 60030:Statistical science-related
    • Research Institution
      Meiji University
  •  Innovative four-dimensional variation method for data assimilation based on large-scale modelsPrincipal Investigator

    • Principal Investigator
      Nagao Hiromichi
    • Project Period (FY)
      2017 – 2019
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Research Field
      Statistical science
    • Research Institution
      The University of Tokyo
  •  Development of risk assesment techniques for natural disasters based on data-driven simulator

    • Principal Investigator
      Nakano Shin'ya
    • Project Period (FY)
      2017 – 2021
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Research Field
      Statistical science
    • Research Institution
      The Institute of Statistical Mathematics
  •  Observation matrix design based on sparse modeling beneficial to rapid data assimilationPrincipal Investigator

    • Principal Investigator
      長尾 大道
    • Project Period (FY)
      2016 – 2017
    • Research Category
      Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
    • Review Section
      Complex systems
    • Research Institution
      The University of Tokyo
  •  A Novel Development of Auto-tuning Technologies for Communication Avoiding and Reducing Algorithms

    • Principal Investigator
      KATAGIRI TAKAHIRO
    • Project Period (FY)
      2016 – 2018
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Research Field
      High performance computing
    • Research Institution
      Nagoya University
  •  疎性モデリングとの融合によるデータ同化研究の新展開Principal Investigator

    • Principal Investigator
      長尾 大道
    • Project Period (FY)
      2014 – 2015
    • Research Category
      Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
    • Review Section
      Complex systems
    • Research Institution
      The University of Tokyo
  •  Study on physical interaction between multi-sphere and evaluation of global warming in the Antarctic by using propagation characteristics of subaudio frequency waves

    • Principal Investigator
      Kanao Masaki
    • Project Period (FY)
      2014 – 2018
    • Research Category
      Grant-in-Aid for Scientific Research (A)
    • Research Field
      Environmental dynamic analysis
    • Research Institution
      National Institute of Polar Research
  •  Construction of next-generation data assimilation for the solid Earth sciencePrincipal Investigator

    • Principal Investigator
      Nagao Hiromichi
    • Project Period (FY)
      2014 – 2017
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Research Field
      Statistical science
    • Research Institution
      The University of Tokyo
  •  Assessment of Earthquake Disasters Based on Multiple-Earthquake Scenarios for Next Generation Urban Area Model

    • Principal Investigator
      Hori Muneo
    • Project Period (FY)
      2013 – 2017
    • Research Category
      Grant-in-Aid for Scientific Research (S)
    • Research Field
      Structural engineering/Earthquake engineering/Maintenance management engineering
    • Research Institution
      The University of Tokyo
  •  Research on advancement of computer-intensive methods for statistical estimations along with Graphical Processing Units and development of application software

    • Principal Investigator
      HIGUCHI Tomoyuki
    • Project Period (FY)
      2011 – 2013
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Research Field
      Statistical science
    • Research Institution
      The Institute of Statistical Mathematics
  •  Development of data assimilation system using cloud computing technologyPrincipal Investigator

    • Principal Investigator
      NAGAO Hiromichi
    • Project Period (FY)
      2011 – 2014
    • Research Category
      Grant-in-Aid for Young Scientists (B)
    • Research Field
      Sensitivity informatics/Soft computing
    • Research Institution
      The University of Tokyo
      The Institute of Statistical Mathematics
  •  Elucidation of wide and deep electrical conductivity structure beneath the marginal region of the Eurasian Continent

    • Principal Investigator
      UYESHIMA Makoto
    • Project Period (FY)
      2006 – 2008
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Research Field
      Solid earth and planetary physics
    • Research Institution
      The University of Tokyo
  •  電離層全電子数データを用いた常時地球自由振動励起源の探索Principal Investigator

    • Principal Investigator
      長尾 大道
    • Project Period (FY)
      2006 – 2007
    • Research Category
      Grant-in-Aid for Young Scientists (Start-up)
    • Research Field
      Solid earth and planetary physics
    • Research Institution
      Japan Agency for Marine-Earth Science and Technology

All 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2008 2007 Other

All Journal Article Presentation Book

  • [Book] Stacking strategy for acquisition of an Accurately Controlled Routinely Operated Signal System transfer function, Active Geophysical Monitoring (2nd Edition)2020

    • Author(s)
      Nagao, H., T. Nakajima, and T. Kunitomo
    • Total Pages
      338
    • Publisher
      Elsevier
    • ISBN
      9780081026847
    • Data Source
      KAKENHI-PROJECT-18H03210
  • [Book] Active Geophysical Monitoring (2nd Edition)2019

    • Author(s)
      Junzo Kasahara, Michael S. Zhdanov, Hitoshi Mikada(編), Hiromichi Nagao(分担執筆)
    • Total Pages
      646
    • Publisher
      Elsevier
    • ISBN
      9780081026847
    • Data Source
      KAKENHI-PROJECT-17H01703
  • [Book] Stacking strategy for acquisition of an Accurately Controlled Routinely Operated Signal System transfer function, Active Geophysical Monitoring (2nd Edition)2019

    • Author(s)
      Nagao, H., T. Nakajima, and T. Kunitomo
    • Total Pages
      16
    • Publisher
      Elsevier
    • Data Source
      KAKENHI-PROJECT-19H05662
  • [Journal Article] Observation site selection for physical model parameter estimation towards process-driven seismic wavefield reconstruction2023

    • Author(s)
      Nakai, K., T. Nagata, K. Yamada, Y. Saito, T. Nonomura, M. Kano, S. Ito and H. Nagao
    • Journal Title

      Geophysical Journal International

      Volume: 234 Issue: 3 Pages: 1786-1805

    • DOI

      10.1093/gji/ggad165

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-20K21785, KAKENHI-PROJECT-19H05662, KAKENHI-PROJECT-23H00466
  • [Journal Article] Observation site selection for physical model parameter estimation toward process-driven seismic wavefield reconstruction2023

    • Author(s)
      Nakai, K., T. Nagata, K. Yamada, Y. Saito, T. Nonomura, M. Kano, S. Ito and H. Nagao
    • Journal Title

      Geophysical Journal International

      Volume: -

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-20K21785
  • [Journal Article] Seismic wavefield reconstruction based on compressed sensing using data-driven reduced-order model2023

    • Author(s)
      Nagata, T., K. Nakai, K. Yamada, Y. Saito, T. Nonomura, M. Kano, S. Ito, and H. Nagao
    • Journal Title

      Geophysical Journal International

      Volume: 233(1) Issue: 1 Pages: 33-50

    • DOI

      10.1093/gji/ggac443

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-20K21785, KAKENHI-PROJECT-19H05662
  • [Journal Article] Wishart Mixture-based Multiple Clustering for Selecting Seismic Stations for Low-frequency Earthquake Detection2023

    • Author(s)
      徳田智磯, 長尾大道
    • Journal Title

      Ouyou toukeigaku

      Volume: 52 Issue: 2 Pages: 99-112

    • DOI

      10.5023/jappstat.52.99

    • ISSN
      0285-0370, 1883-8081
    • Language
      Japanese
    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-23KK0181, KAKENHI-PROJECT-19H05662, KAKENHI-PROJECT-23H00466
  • [Journal Article] Detection of deep low-frequency tremors from continuous paper records at a station in southwest Japan about 50 years ago based on convolutional neural network2023

    • Author(s)
      Kaneko, R., H. Nagao, S. Ito, H. Tsuruoka, and K. Obara
    • Journal Title

      Journal of Geophysical Research Solid Earth

      Volume: 128(2) Issue: 2

    • DOI

      10.1029/2022jb024842

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-20K21785, KAKENHI-PLANNED-21H05205, KAKENHI-PROJECT-19H05662
  • [Journal Article] Adjoint-based data assimilation for reconstruction of thermal convection in a highly viscous fluid from surface velocity and temperature snapshots2023

    • Author(s)
      Nakao, A., T. Kuwatani, S. Ito, and H. Nagao
    • Journal Title

      Geophysical Journal International

      Volume: 236 Issue: 1 Pages: 379-394

    • DOI

      10.1093/gji/ggad417

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-20K21785, KAKENHI-PROJECT-22K14131, KAKENHI-PROJECT-22K03542, KAKENHI-PROJECT-19H05662, KAKENHI-PROJECT-23H00466
  • [Journal Article] Seismic-phase detection using multiple deep learning models for global and local representations of waveforms2023

    • Author(s)
      Tokuda, T. and H. Nagao
    • Journal Title

      Geophysical Journal International

      Volume: 235 Issue: 2 Pages: 1163-1182

    • DOI

      10.1093/gji/ggad270

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-23KK0181, KAKENHI-PROJECT-19H05662, KAKENHI-PROJECT-23H00466
  • [Journal Article] Adjoint-based uncertainty quantification for inhomogeneous friction on a slow-slipping fault2022

    • Author(s)
      Ito Shin-ichi、Kano Masayuki、Nagao Hiromichi
    • Journal Title

      Geophysical Journal International

      Volume: 232 Issue: 1 Pages: 671-683

    • DOI

      10.1093/gji/ggac354

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-22K03542, KAKENHI-PROJECT-20K21785, KAKENHI-PROJECT-19K14671, KAKENHI-PROJECT-19H05662
  • [Journal Article] Detection of low-frequency earthquakes by the matched filter technique using the product of mutual information and correlation coefficient2021

    • Author(s)
      Kurihara, R., A. Kato, S. Kurata, and H. Nagao
    • Journal Title

      Earth, Planets and Space

      Volume: 73 Issue: 1 Pages: 225-225

    • DOI

      10.1186/s40623-021-01534-w

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-20K21785, KAKENHI-PLANNED-21H05205, KAKENHI-PROJECT-19H05662
  • [Journal Article] Forecasting temporal variation of aftershocks immediately after a main shock using Gaussian process regression2021

    • Author(s)
      Morikawa, K., H. Nagao, S. Ito, Y. Terada, S. Sakai, and N. Hirata
    • Journal Title

      Geophysical Journal International

      Volume: - Issue: 2 Pages: 1018-1035

    • DOI

      10.1093/gji/ggab124

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-20K21785, KAKENHI-PROJECT-19K14592, KAKENHI-PROJECT-17H01703, KAKENHI-PROJECT-18H03210, KAKENHI-PROJECT-17H01704, KAKENHI-PROJECT-20K19756
  • [Journal Article] Convolutional Neural Network to Detect Deep Low-Frequency Tremors from Seismic Waveform Images2021

    • Author(s)
      Kaneko Ryosuke、Nagao Hiromichi、Ito Shin-ichi、Obara Kazushige、Tsuruoka Hiroshi
    • Journal Title

      Lecture Notes in Computer Science

      Volume: 12705 Pages: 31-43

    • DOI

      10.1007/978-3-030-75015-2_4

    • ISBN
      9783030750145, 9783030750152
    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-18H03210, KAKENHI-PROJECT-20K21785, KAKENHI-PROJECT-19H05662, KAKENHI-PROJECT-17H01704
  • [Journal Article] 材料科学に資するデータ同化2021

    • Author(s)
      長尾 大道
    • Journal Title

      ふぇらむ

      Volume: 26

    • Data Source
      KAKENHI-PROJECT-20K21785
  • [Journal Article] Phase prediction method for pattern formation in time-dependent Ginzburg-Landau dynamics for kinetic Ising model without a priori assumptions of domain patterns2021

    • Author(s)
      Anzaki, R., S. Ito, H. Nagao, M. Mizumaki, M. Okada, and I. Akai
    • Journal Title

      Physical Review B

      Volume: 103 Issue: 9 Pages: 1-8

    • DOI

      10.1103/physrevb.103.094408

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-20K21785, KAKENHI-PROJECT-19K14671, KAKENHI-PROJECT-17H01703, KAKENHI-PROJECT-18H03210, KAKENHI-PROJECT-19H05662, KAKENHI-PROJECT-17H01704
  • [Journal Article] Deepening of Data Assimilation and Its Application to Seismology2021

    • Author(s)
      長尾 大道
    • Journal Title

      The Journal of The Institute of Electrical Engineers of Japan

      Volume: 141 Issue: 6 Pages: 345-349

    • DOI

      10.1541/ieejjournal.141.345

    • NAID

      130008046298

    • ISSN
      1340-5551, 1881-4190
    • Year and Date
      2021-06-01
    • Language
      Japanese
    • Data Source
      KAKENHI-PROJECT-20K21785
  • [Journal Article] Bayesian Modeling of the Equation of State for Liquid Iron in Earth's Outer Core2021

    • Author(s)
      Matsumura T.、Kuwayama Y.、Ueki K.、Kuwatani T.、Ando Y.、Nagata K.、Ito S.、Nagao H.
    • Journal Title

      Journal of Geophysical Research: Solid Earth

      Volume: 126 Issue: 12 Pages: 1-10

    • DOI

      10.1029/2021jb023062

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-19K04027, KAKENHI-PROJECT-18H03210, KAKENHI-PROJECT-19K04026, KAKENHI-PROJECT-20K21785, KAKENHI-PROJECT-19H05662, KAKENHI-PROJECT-17H01704
  • [Journal Article] Development of Data-Driven System in Materials Integration2020

    • Author(s)
      Inoue, J., M. Okada, H. Nagao, H. Yokota, Y. Adachi
    • Journal Title

      MATERIALS TRANSACTIONS

      Volume: 61 Issue: 11 Pages: 2058-2066

    • DOI

      10.2320/matertrans.MT-MA2020006

    • NAID

      130007930270

    • ISSN
      1345-9678, 1347-5320
    • Year and Date
      2020-11-01
    • Language
      English
    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-20K21785, KAKENHI-PROJECT-17H01703, KAKENHI-PROJECT-18H03210, KAKENHI-PROJECT-17H01704
  • [Journal Article] h3-Open-BDEC: Innovative Software Platform for Scientific Computing in the Exascale Era by Integrations of (Simulation + Data + Learning)2020

    • Author(s)
      Iwashita, T, Nakajima, K., Shimokawabe, T., Nagao, H., Ogita, T., Katagiri, T., Yashiro, H., Matsuba
    • Journal Title

      Project Poster, ISC-HPC 2020

      Volume: N/A Pages: 1-1

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-19H05662
  • [Journal Article] Stacking strategy for acquisition of an Accurately Controlled Routinely Operated Signal System transfer function2020

    • Author(s)
      H. Nagao, T. Nakajima, T. Kunitomo
    • Journal Title

      Active Geophysical Monitoring

      Volume: 2nd Edition Pages: 373-388

    • DOI

      10.1016/b978-0-08-102684-7.00017-0

    • ISBN
      9780081026847
    • Data Source
      KAKENHI-PROJECT-17H01704
  • [Journal Article] Bayesian inference of grain growth prediction via multi-phase-field models2019

    • Author(s)
      S. Ito, H. Nagao, T. Kurokawa, T. Kasuya, and J. Inoue
    • Journal Title

      Physical Review Materials

      Volume: 3 Issue: 5 Pages: 053404-053404

    • DOI

      10.1103/physrevmaterials.3.053404

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-17H01704, KAKENHI-PROJECT-18H03210, KAKENHI-PROJECT-19H05662
  • [Journal Article] Optimizing Forward Computation in Adjoint Method via Multi-level Blocking2018

    • Author(s)
      Tomoya Ikeda, Shin-ichi Ito, Hiromichi Nagao, Takahiro Katagiri, Toru Nagai, Masao Ogino
    • Journal Title

      Proc. of ACM International Conference on High Peformance Computing in Asia-Pacific Region (HPC Asia2018)

      Volume: - Pages: 98-107

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16H02823
  • [Journal Article] 時空間ブロッキングを用いたアジョイント法の高性能化 ~ForwardとBackward計算~2018

    • Author(s)
      池田朋哉、伊藤伸一、長尾大道、片桐孝洋、永井亨、荻野正雄
    • Journal Title

      情報処理学会論文誌:ACS

      Volume: 11 Pages: 12-26

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16H02823
  • [Journal Article] Diffusion creep and grain growth in forsterite+ 20 vol% enstatite aggregates: 2. Their common diffusional mechanism and its consequence for weak‐temperature‐dependent viscosity.2018

    • Author(s)
      Nakakoji, T., & Hiraga, T.
    • Journal Title

      Journal of Geophysical Research

      Volume: 123 Issue: 11 Pages: 9513-9527

    • DOI

      10.1029/2018jb015818

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18H03734, KAKENHI-PROJECT-17H01704, KAKENHI-PROJECT-18H03210, KAKENHI-PLANNED-15H05827, KAKENHI-PROJECT-17H01703
  • [Journal Article] Data assimilation for phase-field models based on the ensemble Kalman filter2018

    • Author(s)
      K. Sasaki, A. Yamanaka, S. Ito, and H. Nagao
    • Journal Title

      Computational Materials Science

      Volume: 141 Pages: 141-152

    • DOI

      10.1016/j.commatsci.2017.09.025

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-26280006, KAKENHI-PROJECT-18H03210
  • [Journal Article] Recovering the past history of natural recording media by Bayesian inversion2018

    • Author(s)
      Kuwatani T, Nagao H, Ito SI, Okamoto A, Yoshida K Okudaira T
    • Journal Title

      Physical Review E

      Volume: 98 Issue: 4 Pages: 043311-043311

    • DOI

      10.1103/physreve.98.043311

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-16K05613, KAKENHI-PROJECT-18K18778, KAKENHI-PROJECT-16K17835, KAKENHI-PLANNED-26109004, KAKENHI-PROJECT-17H01704, KAKENHI-PROJECT-17H02981, KAKENHI-PROJECT-18H03210, KAKENHI-PROJECT-15K20864, KAKENHI-PROJECT-16H06347, KAKENHI-PROJECT-17H01703
  • [Journal Article] 不確実性評価が可能な新しい4次元変分法2017

    • Author(s)
      長尾 大道, 伊藤 伸一
    • Journal Title

      地盤工学会誌

      Volume: 65 Pages: 2-5

    • Data Source
      KAKENHI-PROJECT-17H01703
  • [Journal Article] 不確実性評価が可能な新しい4次元変分法2017

    • Author(s)
      長尾 大道, 伊藤 伸一
    • Journal Title

      地盤工学会誌

      Volume: 65 Pages: 2-5

    • Data Source
      KAKENHI-PROJECT-26280006
  • [Journal Article] 大規模自由度系におけるデータ同化のための2nd-order adjoint法に基づく不確実評価法2017

    • Author(s)
      伊藤 伸一, 長尾 大道, 山中 晃徳, 塚田 祐貴, 小山 敏幸, 加納 将行, 井上 純哉
    • Journal Title

      月刊海洋 号外

      Volume: 59 Pages: 76-82

    • Data Source
      KAKENHI-PROJECT-26280006
  • [Journal Article] 不確実性評価が可能な新しい4次元変分法2017

    • Author(s)
      長尾大道, 伊藤伸一
    • Journal Title

      地盤工学会誌

      Volume: Vol. 65, No. 10 Pages: 2-5

    • Data Source
      KAKENHI-PROJECT-16H02823
  • [Journal Article] MPIと通信削減アルゴリズムによるアジョイント法の高性能化2017

    • Author(s)
      池田朋哉、伊藤伸一、長尾大道、片桐孝洋、永井亨、荻野正雄
    • Journal Title

      研究報告ハイパフォーマンスコンピューティング(HPC)

      Volume: 162-HPC-2017 Pages: 1-10

    • Data Source
      KAKENHI-PROJECT-16H02823
  • [Journal Article] Seismic wavefield imaging based on the replica exchange Monte Carlo method2017

    • Author(s)
      Kano, M., H. Nagao, D. Ishikawa, S. Ito, S. Sakai, S. Nakagawa, M. Hori, and N. Hirata
    • Journal Title

      Geophys. J. Int.

      Volume: 208 Issue: 1 Pages: 529-545

    • DOI

      10.1093/gji/ggw410

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PUBLICLY-16H01536, KAKENHI-PROJECT-25220202, KAKENHI-PROJECT-26280006
  • [Journal Article] スパースモデリングとの融合によるデータ同化研究の新展開2017

    • Author(s)
      長尾 大道, 伊藤 伸一, 加納 将行
    • Journal Title

      システム制御情報学会誌「システム/制御/情報」

      Volume: 61 Pages: 132-137

    • NAID

      130006784468

    • Data Source
      KAKENHI-PUBLICLY-16H01536
  • [Journal Article] 大規模自由度系におけるデータ同化のための2nd-order adjoint法に基づく不確実評価法2017

    • Author(s)
      伊藤 伸一, 長尾 大道, 山中 晃徳, 塚田 祐貴, 小山 敏幸, 加納 将行, 井上 純哉
    • Journal Title

      月刊海洋 号外

      Volume: 59 Pages: 76-82

    • Data Source
      KAKENHI-PUBLICLY-16H01536
  • [Journal Article] Seismic wavefield imaging of long-period ground motion in the Tokyo Metropolitan area, Japan2017

    • Author(s)
      M. Kano, H. Nagao, K. Nagata, S. Ito, S. Sakai, S. Nakagawa, M. Hori, and N. Hirata
    • Journal Title

      Journal of Geophysical Research: Solid Earth

      Volume: 122 Issue: 7 Pages: 5435-5451

    • DOI

      10.1002/2017jb014276

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PUBLICLY-16H01536, KAKENHI-PROJECT-17H01704, KAKENHI-PROJECT-25330283
  • [Journal Article] Bayesian Inference of Forces Causing Cytoplasmic Streaming in Caenorhabditis elegans Embryos and Mouse Oocytes.2016

    • Author(s)
      Niwayama R., Nagao H., Kitajima T. S., Hufnagel L., Shinohara K., Higuchi T., Ishikawa T., Kimura A.
    • Journal Title

      PLoS ONE

      Volume: 11 Issue: 7 Pages: e0159917-e0159917

    • DOI

      10.1371/journal.pone.0159917

    • Peer Reviewed / Acknowledgement Compliant / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PUBLICLY-16H00816, KAKENHI-PUBLICLY-16H01226, KAKENHI-PUBLICLY-16H01536, KAKENHI-PROJECT-15H04372, KAKENHI-PROJECT-16H06161, KAKENHI-PROJECT-26280010, KAKENHI-PROJECT-26650072, KAKENHI-PROJECT-15KT0083, KAKENHI-ORGANIZER-25112001
  • [Journal Article] Data assimilation for massive autonomous systems based on a second-order adjoint method2016

    • Author(s)
      Ito, S., H. Nagao, A. Yamanaka, Y. Tsukada, T. Koyama, M. Kano, and J. Inoue
    • Journal Title

      Phys. Rev. E

      Volume: 94 Issue: 4

    • DOI

      10.1103/physreve.94.043307

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PUBLICLY-16H01536, KAKENHI-PROJECT-26280006
  • [Journal Article] アジョイント法におけるForward modelへの階層ブロッキング適用による高性能化2016

    • Author(s)
      池田朋哉(名古屋大学),伊藤伸一,長尾大道,片桐孝洋,永井亨,荻野正雄
    • Journal Title

      研究報告ハイパフォーマンスコンピューティング(HPC)

      Volume: 2016-HPC-157 Pages: 1-8

    • Acknowledgement Compliant
    • Data Source
      KAKENHI-PROJECT-16H02823
  • [Journal Article] 大地震によって励起される気圧変動から震源パラメータを推定する一方法2015

    • Author(s)
      長尾大道
    • Journal Title

      月刊地球

      Volume: 37 Pages: 376-383

    • Data Source
      KAKENHI-PROJECT-26241010
  • [Journal Article] Estimating cellular parameters through optimization procedures: elementary principles and applications2015

    • Author(s)
      Kimura, A., A. Celani, H. Nagao, T. Stasevich and K. Nakamura
    • Journal Title

      Frontiers in Physiology

      Volume: -- Pages: 1-9

    • DOI

      10.3389/fphys.2015.00060

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-23700278, KAKENHI-PROJECT-25870803, KAKENHI-PUBLICLY-26120510, KAKENHI-PROJECT-26280006, KAKENHI-PROJECT-26289162
  • [Journal Article] 大地震によって励起される気圧変動から震源パラメータを推定する一方法2015

    • Author(s)
      長尾大道
    • Journal Title

      月刊地球

      Volume: 37 Pages: 376-383

    • Data Source
      KAKENHI-PROJECT-26280006
  • [Journal Article] 大地震によって励起される気圧変動から震源パラメータを推定する一方法2015

    • Author(s)
      長尾大道
    • Journal Title

      月刊地球

      Volume: 37 Pages: 376-383

    • Data Source
      KAKENHI-PUBLICLY-26120510
  • [Journal Article] What is required for data assimilation that is applicable to big data in the solid Earth science?2014

    • Author(s)
      Nagao, H.
    • Journal Title

      The Proceedings of 17th International Conference on Information Fusion

      Volume: -- Pages: 1-6

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23700278
  • [Journal Article] What is required for data assimilation that is applicable to big data in the solid Earth science?2014

    • Author(s)
      Nagao, H.
    • Journal Title

      The Proceedings of 17th International Conference on Information Fusion

      Volume: -- Pages: 1-6

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PUBLICLY-26120510
  • [Journal Article] What is required for data assimilation that is applicable to big data in the solid Earth science?2014

    • Author(s)
      Nagao, H.
    • Journal Title

      The Proceedings of 17th International Conference on Information Fusion

      Volume: -- Pages: 1-6

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-26280006
  • [Journal Article] Data assimilation system for seismoacoustic waves2013

    • Author(s)
      Hiromichi Nagao, Tomoyuki Higuchi
    • Journal Title

      Proceedings of 16th International Conference on Information Fusion

      Volume: ― Pages: 1372-1377

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23300108
  • [Journal Article] マルコフ連鎖モンテカルロ法を利用したトレーサー試験からフラクチャーの物理パラメータを推定する方法2013

    • Author(s)
      長尾大道, 佐藤光三, 樋口知之
    • Journal Title

      石油技術協会誌

      Volume: Vol.78,No.2 Pages: 197-209

    • NAID

      10031159326

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23300108
  • [Journal Article] データ同化-モデルパラメータの分布推定-2013

    • Author(s)
      長尾大道, 樋口知之
    • Journal Title

      日本機械学会誌

      Volume: Vol.116, No.1131 Pages: 23-26

    • Data Source
      KAKENHI-PROJECT-23300108
  • [Journal Article] 震音波データ同化システムの開発 -双子実験による検証-2013

    • Author(s)
      長尾大道, 樋口知之
    • Journal Title

      統計数理

      Volume: Vol.61,No.2 Pages: 257-270

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23300108
  • [Journal Article] 固体地球科学に資するデータ同化の創出に向けた提言 ―シミュレーション/データ両駆動型データ同化へ―2013

    • Author(s)
      長尾大道
    • Journal Title

      シミュレーション

      Volume: 32 Pages: 18-24

    • Data Source
      KAKENHI-PROJECT-23700278
  • [Journal Article] データ同化 -モデルパラメータの分布推定-2013

    • Author(s)
      長尾大道, 樋口知之
    • Journal Title

      日本機械学会誌

      Volume: 116 Pages: 89-92

    • Data Source
      KAKENHI-PROJECT-23700278
  • [Journal Article] 地震音波データ同化システムの開発 ―双子実験による検証―2013

    • Author(s)
      長尾大道, 樋口知之
    • Journal Title

      統計数理

      Volume: Vol. 61, No. 2 Pages: 257-270

    • NAID

      120006020786

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23300108
  • [Journal Article] 地震音波データ同化システムの開発 ―双子実験による検証―2013

    • Author(s)
      長尾大道, 樋口知之
    • Journal Title

      統計数理

      Volume: 61 Pages: 257-270

    • NAID

      120006020786

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23700278
  • [Journal Article] Time-series modeling of tide gauge records for monitoring of the crustal activities related to oceanic trench earthquakes around Japan2013

    • Author(s)
      Nagao, H., T. Higuchi, S. Miura, and D. Inazu
    • Journal Title

      Computer Journal

      Volume: 56 Issue: 3 Pages: 355-364

    • DOI

      10.1093/comjnl/bxs139

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23700278
  • [Journal Article] Data assimilation system for seismoacoustic waves2013

    • Author(s)
      H. Nagao, T. Higuchi
    • Journal Title

      Proceedings of 16th International Conference on Information Fusion

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23300108
  • [Journal Article] データ同化-モデルパラメータの分布推定-2013

    • Author(s)
      長尾大道, 樋口知之
    • Journal Title

      日本機械学会誌

      Volume: Vol.116,No.1131 Pages: 23-26

    • Data Source
      KAKENHI-PROJECT-23300108
  • [Journal Article] クラウドコンピューティングを利用した統計計算サービス2013

    • Author(s)
      長尾大道
    • Journal Title

      システム制御情報学会誌

      Volume: 57 Pages: 160-165

    • Data Source
      KAKENHI-PROJECT-23700278
  • [Journal Article] 事例研究「状態空間モデルによるインターネット広告のクリック率予測」2012

    • Author(s)
      本橋永至, 磯崎直樹, 長尾大道, 樋口知之
    • Journal Title

      オペレーションズ・リサーチ

      Volume: Vol.57,No.10 Pages: 574-583

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23300108
  • [Journal Article] 地球地殻の活動監視を目的とした粒子フィルタ法による長期潮位変動解析2012

    • Author(s)
      長尾大道, 樋口知之, 三浦哲, 稲津大祐
    • Journal Title

      日本統計学会誌

      Volume: 42 Pages: 119-133

    • NAID

      110009543882

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23700278
  • [Journal Article] Fault parameter estimation with data assimilation on infrasound variations due to big earthquakes2011

    • Author(s)
      H. Nagao, N. Kobayashi, S. Nakano, T. Higuchi
    • Journal Title

      Proceedings of 14th International Conference on Information Fusion (FUSION 2011)

      Volume: ISBN: 978-1-4577-0267-9 Pages: 1-6

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23700278
  • [Presentation] 最適輸送理論に基づく地震波形データからのイベント検出とその分類2024

    • Author(s)
      柳田 真輝, 徳田 智磯, 加藤 慎也, 長尾 大道
    • Organizer
      日本統計学会春季集会
    • Data Source
      KAKENHI-PROJECT-19H05662
  • [Presentation] Detection of deep low-frequency tremors from continuous paper records at a station in southwest Japan about 50 years ago based on convolutional neural network2023

    • Author(s)
      Kaneko, R., H. Nagao, S. Ito, H. Tsuruoka, and K. Obara
    • Organizer
      The International Union of Geodesy and Geophysics, The 28th General Assembly
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H05662
  • [Presentation] Foundation of data assimilation and its application to phase-field models2023

    • Author(s)
      Nagao, H. and S. Ito
    • Organizer
      MRM2023/IUMRS-ICA2023
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H05662
  • [Presentation] 混合ウイシャートモデルに基づくマルチプル・クラスタリングによる低周波地震検出のための観測点選択2023

    • Author(s)
      徳田智磯, 長尾大道
    • Organizer
      統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-23KK0181
  • [Presentation] 4次元変分法データ同化の理論深化と応用展開2023

    • Author(s)
      長尾大道
    • Organizer
      ものづくり企業に役立つ応用数理手法の研究会
    • Invited
    • Data Source
      KAKENHI-PROJECT-20K21785
  • [Presentation] Detection of deep low-frequency tremors from continuous paper records at a station in southwest Japan about 50 years ago based on convolutional neural network2023

    • Author(s)
      Nagao, H., R. Kaneko, S. Ito, H. Tsuruoka, and K. Obara
    • Organizer
      European Geosciences Union General Assembly
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23H00466
  • [Presentation] 混合ウイシャートモデルに基づくマルチプル・クラスタリングによる低周波地震検出のための観測点選択2023

    • Author(s)
      徳田智磯, 長尾大道
    • Organizer
      統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-23H00466
  • [Presentation] Seismic-phase detection using multiple deep learning models for global and local representations of waveforms2023

    • Author(s)
      Tokuda, T. and H. Nagao
    • Organizer
      The International Union of Geodesy and Geophysics, The 28th General Assembly
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23H00466
  • [Presentation] Detection of deep low-frequency tremors from continuous paper records at a station in southwest Japan about 50 years ago based on convolutional neural network2023

    • Author(s)
      Kaneko, R., H. Nagao, S. Ito, H. Tsuruoka, and K. Obara
    • Organizer
      The International Union of Geodesy and Geophysics, The 28th General Assembly
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23KK0181
  • [Presentation] SpMとの融合に基づくデータ同化の深化と計測への展開2023

    • Author(s)
      長尾 大道
    • Organizer
      データ駆動科学と情報計測の新展開(DDIMA)
    • Data Source
      KAKENHI-PROJECT-19H05662
  • [Presentation] Forecasting aftershocks immediately after the large main shock with epidemic-type aftershock detection function2023

    • Author(s)
      森川耕輔, 長尾大道, 平田直
    • Organizer
      日本地球惑星科学連合大会
    • Data Source
      KAKENHI-PROJECT-23H00466
  • [Presentation] 残差学習に基づく地震波形紙記録からの低周波微動の検出2023

    • Author(s)
      金子亮介, 長尾大道, 伊藤伸一, 鶴岡弘, 小原一成
    • Organizer
      人工知能学会全国大会
    • Data Source
      KAKENHI-PROJECT-23H00466
  • [Presentation] Seismic-phase detection using multiple deep learning models for global and local representations of waveforms2023

    • Author(s)
      Tokuda, T. and H. Nagao
    • Organizer
      The International Union of Geodesy and Geophysics, The 28th General Assembly
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H05662
  • [Presentation] データ同化と機械学習の接点2023

    • Author(s)
      長尾 大道
    • Organizer
      電子情報通信学会
    • Data Source
      KAKENHI-PROJECT-19H05662
  • [Presentation] Two-stage approach for transfer learning of seismic-phase detection model to a small sample size data via multiple-clustering-based classification2023

    • Author(s)
      Tokuda, T. and H. Nagao
    • Organizer
      American Geophysical Union Fall Meeting
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23H00466
  • [Presentation] Detection of deep low-frequency tremors from continuous paper records at a station in southwest Japan about 50 years ago based on convolutional neural network2023

    • Author(s)
      金子亮介, 長尾大道, 伊藤伸一, 鶴岡弘, 小原一成
    • Organizer
      日本地球惑星科学連合大会
    • Data Source
      KAKENHI-PROJECT-23KK0181
  • [Presentation] データ同化と機械学習の接点2023

    • Author(s)
      長尾 大道
    • Organizer
      電子情報通信学会
    • Data Source
      KAKENHI-PROJECT-20K21785
  • [Presentation] プロセス駆動型地震波動場再構成に向けた物理モデルパラメタ推定のための観測点選択2023

    • Author(s)
      中井公美, 永田貴之, 山田圭吾, 齋藤勇士, 野々村拓, 加納将行, 伊藤伸一, 長尾大道
    • Organizer
      日本地球惑星科学連合大会
    • Data Source
      KAKENHI-PROJECT-20K21785
  • [Presentation] Deep Learning to Extract Earthquakes and Low-Frequency Tremors in Continuous Seismic Waveforms2023

    • Author(s)
      Hiromichi Nagao
    • Organizer
      International Workshop on "Integration of Simulation/Data/Learning and Beyond" (45th ASE Seminar)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H05662
  • [Presentation] Seismic-phase detection using multiple deep learning models for global and local representations of waveforms2023

    • Author(s)
      Tokuda, T. and H. Nagao
    • Organizer
      Asia Oceania Geosciences Society, The 20th Annual Meeting
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23KK0181
  • [Presentation] Foundation of data assimilation and its application to phase-field models2023

    • Author(s)
      Nagao, H. and S. Ito
    • Organizer
      MRM2023/IUMRS-ICA2023
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23H00466
  • [Presentation] 人工知能による地震研究の新展開2023

    • Author(s)
      長尾大道
    • Organizer
      人工知能学会全国大会
    • Invited
    • Data Source
      KAKENHI-PROJECT-23H00466
  • [Presentation] Detection of deep low-frequency tremors from continuous paper records at a station in southwest Japan about 50 years ago based on convolutional neural network2023

    • Author(s)
      Nagao, H., R. Kaneko, S. Ito, H. Tsuruoka, and K. Obara
    • Organizer
      European Geosciences Union General Assembly
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H05662
  • [Presentation] 少量データに適用可能な地震波検出モデルの転移学習:マルチプル・クラスタリングを用いた二段階アプローチ2023

    • Author(s)
      徳田智磯, 長尾大道
    • Organizer
      日本地震学会秋季大会
    • Data Source
      KAKENHI-PROJECT-23H00466
  • [Presentation] Foundation of data assimilation and its application to phase-field models2023

    • Author(s)
      Nagao, H. and S. Ito
    • Organizer
      MRM2023/IUMRS-ICA2023
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K21785
  • [Presentation] 4次元変分法データ同化の理論深化と応用展開2023

    • Author(s)
      長尾大道
    • Organizer
      ものづくり企業に役立つ応用数理手法の研究会
    • Invited
    • Data Source
      KAKENHI-PROJECT-23H00466
  • [Presentation] You Only Search Once: An alternative framework to detect slow earthquakes2023

    • Author(s)
      Gerardo Manuel Mendo Pérez, 長尾 大道
    • Organizer
      日本地震学会秋季大会
    • Data Source
      KAKENHI-PROJECT-23H00466
  • [Presentation] 混合ウイシャートモデルに基づくマルチプル・クラスタリングによる低周波地震検出のための観測点選択2023

    • Author(s)
      徳田 智磯, 長尾 大道
    • Organizer
      統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-19H05662
  • [Presentation] データ同化:理論深化と応用展開2023

    • Author(s)
      長尾 大道
    • Organizer
      データ駆動科学と情報計測の新展開(DDIMA)
    • Data Source
      KAKENHI-PROJECT-19H05662
  • [Presentation] データ同化:理論深化と応用展開2023

    • Author(s)
      長尾 大道
    • Organizer
      データ駆動科学と情報計測の新展開(DDIMA)
    • Data Source
      KAKENHI-PROJECT-20K21785
  • [Presentation] 少量データに適用可能な地震波検出モデルの転移学習:マルチプル・クラスタリングを用いた二段階アプローチ2023

    • Author(s)
      徳田 智磯, 長尾 大道
    • Organizer
      日本地震学会秋季大会
    • Data Source
      KAKENHI-PROJECT-19H05662
  • [Presentation] 少量データに適用可能な地震波検出モデルの転移学習:マルチプル・クラスタリングを用いた二段階アプローチ2023

    • Author(s)
      徳田智磯, 長尾大道
    • Organizer
      日本地震学会秋季大会
    • Data Source
      KAKENHI-PROJECT-23KK0181
  • [Presentation] Detection of deep low-frequency tremors from continuous paper records at a station in southwest Japan about 50 years ago based on convolutional neural network for seismogram images2023

    • Author(s)
      Nagao, H., R. Kaneko, S. Ito, H. Tsuruoka, and K. Obara
    • Organizer
      American Geophysical Union Fall Meeting
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H05662
  • [Presentation] Seismic-phase detection using multiple deep learning models for global and local representations of waveforms2023

    • Author(s)
      Tokuda, T. and H. Nagao
    • Organizer
      Asia Oceania Geosciences Society, The 20th Annual Meeting
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23H00466
  • [Presentation] Forecasting aftershocks immediately after the large main shock with epidemic-type aftershock detection function2023

    • Author(s)
      Morikawa, K., H. Nagao, and N. Hirata
    • Organizer
      Asia Oceania Geosciences Society, The 20th Annual Meeting
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23H00466
  • [Presentation] 地震波形の全体・局所領域に対する複数の深層学習モデルを統合した地震検出手法2023

    • Author(s)
      徳田智磯, 長尾大道
    • Organizer
      日本地球惑星科学連合大会
    • Data Source
      KAKENHI-PROJECT-23H00466
  • [Presentation] 地震波形の全体・局所領域に対する複数の深層学習モデルを統合した地震検出手法2023

    • Author(s)
      徳田智磯, 長尾大道
    • Organizer
      日本地球惑星科学連合大会
    • Data Source
      KAKENHI-PROJECT-23KK0181
  • [Presentation] プロセス駆動型地震波動場再構成に向けた物理モデルパラメタ推定のための観測点選択2023

    • Author(s)
      中井公美, 永田貴之, 山田圭吾, 齋藤勇士, 野々村拓, 加納将行, 伊藤伸一, 長尾大道
    • Organizer
      日本地球惑星科学連合大会
    • Data Source
      KAKENHI-PROJECT-23H00466
  • [Presentation] Detection of deep low-frequency tremors from continuous paper records at a station in southwest Japan about 50 years ago based on convolutional neural network2023

    • Author(s)
      Kaneko, R., H. Nagao, S. Ito, H. Tsuruoka, and K. Obara
    • Organizer
      Asia Oceania Geosciences Society, The 20th Annual Meeting
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H05662
  • [Presentation] Seismic-phase detection using multiple deep learning models for global and local representations of waveforms2023

    • Author(s)
      Tokuda, T. and H. Nagao
    • Organizer
      The International Union of Geodesy and Geophysics, The 28th General Assembly
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23KK0181
  • [Presentation] 人工知能による地震研究の新展開2023

    • Author(s)
      長尾大道
    • Organizer
      人工知能学会全国大会
    • Invited
    • Data Source
      KAKENHI-PROJECT-23KK0181
  • [Presentation] Detection of deep low-frequency tremors from continuous paper records at a station in southwest Japan about 50 years ago based on convolutional neural network2023

    • Author(s)
      Nagao, H., R. Kaneko, S. Ito, H. Tsuruoka, and K. Obara
    • Organizer
      European Geosciences Union General Assembly
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23KK0181
  • [Presentation] 残差学習に基づく地震波形紙記録からの低周波微動の検出2023

    • Author(s)
      金子 亮介,長尾 大道,伊藤 伸一,鶴岡 弘,小原 一成
    • Organizer
      人工知能学会全国大会
    • Data Source
      KAKENHI-PROJECT-19H05662
  • [Presentation] 人工知能による地震研究の新展開2023

    • Author(s)
      長尾 大道
    • Organizer
      人工知能学会全国大会
    • Invited
    • Data Source
      KAKENHI-PROJECT-19H05662
  • [Presentation] 残差学習に基づく地震波形紙記録からの低周波微動の検出2023

    • Author(s)
      金子亮介, 長尾大道, 伊藤伸一, 鶴岡弘, 小原一成
    • Organizer
      人工知能学会全国大会
    • Data Source
      KAKENHI-PROJECT-23KK0181
  • [Presentation] 地震学と情報地質学の接点2023

    • Author(s)
      長尾 大道
    • Organizer
      日本情報地質学会シンポジウム
    • Invited
    • Data Source
      KAKENHI-PROJECT-19H05662
  • [Presentation] Two-stage approach for transfer learning of seismic-phase detection model to a small sample size data via multiple-clustering-based classification2023

    • Author(s)
      Tokuda, T. and H. Nagao
    • Organizer
      American Geophysical Union Fall Meeting
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23KK0181
  • [Presentation] SpMとの融合に基づくデータ同化の深化と計測への展開2023

    • Author(s)
      長尾 大道
    • Organizer
      データ駆動科学と情報計測の新展開(DDIMA)
    • Data Source
      KAKENHI-PROJECT-20K21785
  • [Presentation] Detection of deep low-frequency tremors from continuous paper records at a station in southwest Japan about 50 years ago based on convolutional neural network2023

    • Author(s)
      Kaneko, R., H. Nagao, S. Ito, H. Tsuruoka, and K. Obara
    • Organizer
      Asia Oceania Geosciences Society, The 20th Annual Meeting
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23H00466
  • [Presentation] Detection of deep low-frequency tremors from continuous paper records at a station in southwest Japan about 50 years ago based on convolutional neural network2023

    • Author(s)
      金子亮介, 長尾大道, 伊藤伸一, 鶴岡弘, 小原一成
    • Organizer
      日本地球惑星科学連合大会
    • Data Source
      KAKENHI-PROJECT-23H00466
  • [Presentation] Seismic-phase detection using multiple deep learning models for global and local representations of waveforms2023

    • Author(s)
      Tokuda, T. and H. Nagao
    • Organizer
      Asia Oceania Geosciences Society, The 20th Annual Meeting
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H05662
  • [Presentation] Seismic-phase detection using multiple deep learning models for global and local representations of waveforms2023

    • Author(s)
      Kaneko, R., H. Nagao, S. Ito, H. Tsuruoka, and K. Obara
    • Organizer
      Asia Oceania Geosciences Society, The 20th Annual Meeting
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23KK0181
  • [Presentation] You Only Search Once: An alternative framework to detect slow earthquakes2023

    • Author(s)
      Gerardo Manuel Mendo Pérez, 長尾 大道
    • Organizer
      日本地震学会秋季大会
    • Data Source
      KAKENHI-PROJECT-23KK0181
  • [Presentation] 4次元変分法データ同化の理論深化と応用展開2023

    • Author(s)
      長尾 大道
    • Organizer
      ものづくり企業に役立つ応用数理手法の研究会
    • Invited
    • Data Source
      KAKENHI-PROJECT-19H05662
  • [Presentation] Two-stage approach for transfer learning of seismic-phase detection model to a small sample size data via multiple-clustering-based classification2023

    • Author(s)
      Tokuda, T. and H. Nagao
    • Organizer
      American Geophysical Union Fall Meeting
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H05662
  • [Presentation] Detection of deep low-frequency tremors from continuous paper records at a station in southwest Japan about 50 years ago based on convolutional neural network2023

    • Author(s)
      Kaneko, R., H. Nagao, S. Ito, H. Tsuruoka, and K. Obara
    • Organizer
      The International Union of Geodesy and Geophysics, The 28th General Assembly
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23H00466
  • [Presentation] 機械学習の基礎2022

    • Author(s)
      長尾 大道
    • Organizer
      日本機械学会 熱工学部門講習会
    • Invited
    • Data Source
      KAKENHI-PROJECT-18H03210
  • [Presentation] プロセス駆動型地震波動場再構成に向けた物理モデルパラメタ推定のための観測点選択手法の提案2022

    • Author(s)
      中井 公美,永田 貴之,山田 圭吾,齋藤 勇士,野々村 拓,加納 将行,伊藤 伸一,長尾 大道
    • Organizer
      日本地球惑星科学連合大会
    • Data Source
      KAKENHI-PROJECT-20K21785
  • [Presentation] Towards integration of data assimilation and deep learning beneficial to seismology2022

    • Author(s)
      Nagao, H.
    • Organizer
      SIAM International Conference on Data Mining
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H05662
  • [Presentation] Data science techniques to extract information from image data2022

    • Author(s)
      Nagao, H., S. Ito, and R. Kaneko
    • Organizer
      IIW Annual Assembly and International Conference
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H05662
  • [Presentation] 機械学習の基礎2022

    • Author(s)
      長尾 大道
    • Organizer
      日本機械学会 熱工学部門講習会
    • Invited
    • Data Source
      KAKENHI-PROJECT-17H01704
  • [Presentation] Data science techniques to extract information from image data2022

    • Author(s)
      Nagao, H., S. Ito, and R. Kaneko
    • Organizer
      IIW Annual Assembly and International Conference
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K21785
  • [Presentation] データサイエンスによる地震研究の深化2022

    • Author(s)
      長尾 大道,伊藤 伸一,金子 亮介
    • Organizer
      人工知能学会全国大会
    • Data Source
      KAKENHI-PROJECT-19H05662
  • [Presentation] 畳み込みニューラルネットワークによる地震波形古記録からの深部低周波微動の検出2022

    • Author(s)
      金子 亮介,長尾 大道,伊藤 伸一,鶴岡 弘,小原 一成
    • Organizer
      日本地球惑星科学連合大会
    • Data Source
      KAKENHI-PROJECT-20K21785
  • [Presentation] Towards integration of data assimilation and deep learning beneficial to seismology2022

    • Author(s)
      Nagao, H.
    • Organizer
      SIAM International Conference on Data Mining
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K21785
  • [Presentation] 畳み込みニューラルネットワークによる地震波形古記録からの深部低周波微動の検出2022

    • Author(s)
      金子 亮介,長尾 大道,伊藤 伸一,鶴岡 弘,小原 一成
    • Organizer
      日本地球惑星科学連合大会
    • Data Source
      KAKENHI-PROJECT-19H05662
  • [Presentation] シンプレクティックアジョイント法に基づくスロースリップ断層面上の摩擦空間不均一性の不確実性評価2022

    • Author(s)
      伊藤 伸一,加納 将行,長尾 大道
    • Organizer
      日本地球惑星科学連合大会
    • Data Source
      KAKENHI-PROJECT-20K21785
  • [Presentation] 地震学と情報地質学の接点2022

    • Author(s)
      長尾 大道
    • Organizer
      日本情報地質学会シンポジウム
    • Invited
    • Data Source
      KAKENHI-PROJECT-20K21785
  • [Presentation] 人工知能と自然知能の対話・協働による地震研究の新展開2022

    • Author(s)
      長尾 大道
    • Organizer
      統計関連学会連合大会
    • Invited
    • Data Source
      KAKENHI-PROJECT-19H05662
  • [Presentation] データ駆動型低次元モデルとスパース観測による地震波動場再構成手法の提案2022

    • Author(s)
      永田 貴之,中井 公美,山田 圭吾,齋藤 勇士,野々村 拓,加納 将行,伊藤 伸一,長尾 大道
    • Organizer
      日本地球惑星科学連合大会
    • Data Source
      KAKENHI-PROJECT-20K21785
  • [Presentation] Fast and high-precision estimation for temporal variation of aftershocks immediately after a main shock with Gaussian process regression2022

    • Author(s)
      森川 耕輔,長尾 大道,伊藤 伸一,酒井 慎一,平田 直
    • Organizer
      日本地球惑星科学連合大会
    • Data Source
      KAKENHI-PROJECT-20K21785
  • [Presentation] データ同化の基礎と応用2022

    • Author(s)
      長尾 大道
    • Organizer
      システム制御情報学会
    • Invited
    • Data Source
      KAKENHI-PROJECT-20K21785
  • [Presentation] 人工知能と自然知能の対話・協働による地震研究の新展開2022

    • Author(s)
      長尾 大道
    • Organizer
      統計関連学会連合大会
    • Invited
    • Data Source
      KAKENHI-PROJECT-20K21785
  • [Presentation] プロセス駆動型地震波動場再構成に向けた物理モデルパラメタ感度に基づく観測点選択手法の開発2022

    • Author(s)
      中井 公美,永田 貴之,山田 圭吾,齋藤 勇士,野々村 拓,加納 将行,伊藤 伸一,長尾 大道
    • Organizer
      日本地震学会
    • Data Source
      KAKENHI-PROJECT-20K21785
  • [Presentation] 畳み込みニューラルネットワークに基づく西南日本で得られた地震波形紙記録からの深部低周波微動の検出2022

    • Author(s)
      金子 亮介,長尾 大道,伊藤 伸一,鶴岡 弘,小原 一成
    • Organizer
      日本地震学会
    • Data Source
      KAKENHI-PROJECT-19H05662
  • [Presentation] データ同化の基礎と応用2022

    • Author(s)
      長尾 大道
    • Organizer
      システム制御情報学会
    • Invited
    • Data Source
      KAKENHI-PROJECT-19H05662
  • [Presentation] データ駆動型低次元モデルを用いた圧縮センシングの地震波動場再構成への適用2022

    • Author(s)
      永田 貴之,中井 公美,山田 圭吾,齋藤 勇士,野々村 拓,加納 将行,伊藤 伸一,長尾 大道
    • Organizer
      日本地震学会
    • Data Source
      KAKENHI-PROJECT-20K21785
  • [Presentation] 機械学習の基礎2022

    • Author(s)
      長尾 大道
    • Organizer
      日本機械学会 熱工学部門講習会
    • Invited
    • Data Source
      KAKENHI-PROJECT-20K21785
  • [Presentation] h3-Open-BDEC: Innovative Software Infrastructure for Scientific Computing in the Exascale Era by Integrations of (Simulation + Data + Learning)2022

    • Author(s)
      Nakajima, K., Iwashita, T., Yashiro, H., Nagao, H., Shimokawabe, T., Matsuba, H., Ogita, T., Katagiri, T.
    • Organizer
      The 31st International Toki Conference on Plasma and Fusion Research (ITC31)
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H05662
  • [Presentation] 畳み込みニューラルネットワークによる地震波形古記録からの深部低周波微動の検出2022

    • Author(s)
      金子 亮介,長尾 大道,伊藤 伸一,鶴岡 弘,小原一成
    • Organizer
      日本統計学会春季集会
    • Data Source
      KAKENHI-PROJECT-20K21785
  • [Presentation] Seasonal Adjustment Method with Multi-Seasonal Components2022

    • Author(s)
      長尾 大道,羽場 智哉,伊藤 伸一
    • Organizer
      統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-19H05662
  • [Presentation] Detection of deep low-frequency tremors from continuous paper records at a station in southwest Japan about 50 years ago based on convolutional neural network for seismogram images2022

    • Author(s)
      Nagao, H, R. Kaneko, S. Ito, H. Tsuruoka, and K. Obara
    • Organizer
      American Geophysical Union Fall Meeting
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K21785
  • [Presentation] 畳み込みニューラルネットワークに基づく西南日本で得られた地震波形紙記録からの深部低周波微動の検出2022

    • Author(s)
      金子 亮介,長尾 大道,伊藤 伸一,鶴岡 弘,小原 一成
    • Organizer
      日本地震学会
    • Data Source
      KAKENHI-PROJECT-20K21785
  • [Presentation] Robust seismic phase detection method modeling both global and local representations of waveform2022

    • Author(s)
      Tokuda, T. and H. Nagao
    • Organizer
      American Geophysical Union Fall Meeting
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K21785
  • [Presentation] シンプレクティックアジョイント法に基づくスロースリップ断層面の摩擦不均一性の不確実性評価2022

    • Author(s)
      伊藤 伸一,加納 将行,長尾 大道
    • Organizer
      日本地震学会
    • Data Source
      KAKENHI-PROJECT-20K21785
  • [Presentation] データサイエンスによる地震研究の深化2022

    • Author(s)
      長尾 大道,伊藤 伸一,金子 亮介
    • Organizer
      人工知能学会全国大会
    • Data Source
      KAKENHI-PROJECT-20K21785
  • [Presentation] Seasonal adjustment method with multi-seasonal components2022

    • Author(s)
      長尾 大道,羽場 智哉,伊藤 伸一
    • Organizer
      統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-20K21785
  • [Presentation] Convolutional neural network to detect deep low-frequency tremors from seismic waveform images2021

    • Author(s)
      Kaneko, R., H. Nagao, S. Ito, K. Obara, and H. Tsuruoka
    • Organizer
      Asia Oceania Geosciences Society
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K21785
  • [Presentation] ガウス過程回帰を用いた本震直後における余震分布の推定2021

    • Author(s)
      森川 耕輔,長尾 大道,伊藤 伸一,寺田 吉壱,酒井 慎一,平田 直
    • Organizer
      2021年度 統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-18H03210
  • [Presentation] 双極子間相互作用を含む時間依存Ginzburg-Landau方程式によるパターン形成における相分類の提案と解析的な相予測2021

    • Author(s)
      安崎 遼路,伊藤 伸一,長尾 大道,水牧 仁一朗,岡田 真人,赤井 一郎
    • Organizer
      第68回 応用物理学会 春季学術講演会
    • Data Source
      KAKENHI-PROJECT-17H01703
  • [Presentation] Optimization and uncertainty quantification based on the four-dimensional variational method2021

    • Author(s)
      Nagao, H.
    • Organizer
      International Workshop on the Integration of (Simulation + Data + Learning): Towards Society 5.0 by h3-Open-BDEC
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K21785
  • [Presentation] Forecasting temporal variation of aftershocks immediately after a main shock using Gaussian process regression2021

    • Author(s)
      Morikawa, K., H. Nagao, S. Ito, Y. Terada, S. Sakai, and N. Hirata
    • Organizer
      Asia Oceania Geosciences Society
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H03210
  • [Presentation] Pattern formation via the time-dependent Ginzburg-Landau equation in spin systems2021

    • Author(s)
      Anzaki, R., S. Ito, H. Nagao M. Mizumaki, M. Okada, and I. Akai
    • Organizer
      Asia Oceania Geosciences Society
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K21785
  • [Presentation] 地震連続波形画像からの深部低周波微動検出に向けた畳み込みニューラルネットワークの構築2021

    • Author(s)
      金子 亮介,長尾 大道,伊藤 伸一,小原 一成,鶴岡 弘
    • Organizer
      日本地震学会2021年度秋季大会
    • Data Source
      KAKENHI-PROJECT-20K21785
  • [Presentation] Convolutional neural network to detect deep low-frequency tremors from seismic waveform images2021

    • Author(s)
      Kaneko, R., H. Nagao, S. Ito, K. Obara, and H. Tsuruoka
    • Organizer
      Asia Oceania Geosciences Society
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H03210
  • [Presentation] Convolutional neural network to detect deep low-frequency tremors from seismic waveform images2021

    • Author(s)
      Kaneko, R., H. Nagao, S. Ito, K. Obara, and H. Tsuruoka
    • Organizer
      PAKDD2021 Workshop on Machine Learning for Measurement Informatics
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H03210
  • [Presentation] ガウス過程回帰を用いた本震直後における余震分布の推定2021

    • Author(s)
      森川 耕輔,長尾 大道,伊藤 伸一,寺田 吉壱,酒井 慎一,平田 直
    • Organizer
      2021年度 統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-20K21785
  • [Presentation] 地震連続波形画像からの深部低周波微動検出に向けた 畳み込みニューラルネットワークの構築2021

    • Author(s)
      金子 亮介,長尾 大道,伊藤 伸一,小原 一成,鶴岡 弘
    • Organizer
      日本地震学会2021年度秋季大会
    • Data Source
      KAKENHI-PROJECT-18H03210
  • [Presentation] Convolutional neural network to detect deep low-frequency tremors from seismic waveform images2021

    • Author(s)
      Kaneko, R., H. Nagao, S. Ito, K. Obara, and H. Tsuruoka
    • Organizer
      Asia Oceania Geosciences Society
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01704
  • [Presentation] Wisteria/BDEC-01 & h3-Open-BDEC: Innovative Scientific Computing in the Exascale Era2021

    • Author(s)
      Nakajima K., Iwashita T., Yashiro H., Shimokawabe T., Nagao H., Matsuba H., Ogita T., Katagiri T.
    • Organizer
      ARM SVE for HPC, 18th ACM International Conference on Computing Frontiers (CF’21)
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H05662
  • [Presentation] Optimization and uncertainty quantification based on the four-dimensional variational method2021

    • Author(s)
      H. Nagao
    • Organizer
      International Workshop on the Integration of (Simulation+Data+Learning): Towards Society 5.0 by h3-Open-BDEC
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01704
  • [Presentation] Integration of 3D Earthquake Simulation & Real-Time Data Assimilation on h3-Open-BDEC2021

    • Author(s)
      Nakajima, K., Matsuba, K., Hanawa, T., Furumura, T., Tsuruoka, H., Nagao, H.
    • Organizer
      Conference on Advanced Topics and Auto Tuning in High-Performance Scientific Computing (ATAT in HPSC)
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H05662
  • [Presentation] Optimization and uncertainty quantification based on the four-dimensional variational method2021

    • Author(s)
      Nagao, H.
    • Organizer
      International Workshop on the Integration of (Simulation + Data + Learning): Towards Society 5.0 by h3-Open-BDEC
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H05662
  • [Presentation] Forecasting temporal variation of aftershocks immediately after a main shock using Gaussian process regression2021

    • Author(s)
      Morikawa, K., H. Nagao, S. Ito, Y. Terada, S. Sakai, and N. Hirata
    • Organizer
      Asia Oceania Geosciences Society
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K21785
  • [Presentation] 畳み込みニューラルネットワークを用いた地震波形画像からの深部低周波微動の検出2021

    • Author(s)
      金子 亮介,長尾 大道,伊藤 伸一,小原 一成,鶴岡 弘
    • Organizer
      2021年度 統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-20K21785
  • [Presentation] Convolutional neural network to detect deep low-frequency tremors from seismic waveform images2021

    • Author(s)
      Kaneko, R., H. Nagao, S. Ito, K. Obara, and H. Tsuruoka
    • Organizer
      PAKDD2021 Workshop on Machine Learning for Measurement Informatics
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H05662
  • [Presentation] Optimization and uncertainty quantification based on the four-dimensional variational method2021

    • Author(s)
      Nagao, H.
    • Organizer
      nternational Workshop on the Integration of (Simulation + Data + Learning): Towards Society 5.0 by h3-Open-BDEC
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H03210
  • [Presentation] 畳み込みニューラルネットワークを用いた地震波形画像からの深部低周波微動の検出2021

    • Author(s)
      金子 亮介,長尾 大道,伊藤 伸一,小原 一成,鶴岡 弘
    • Organizer
      2021年度 統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-17H01704
  • [Presentation] 「計算・データ・学習」融合スーパーコンピュータシステム「Wisteria/BDEC- 01」の概要2021

    • Author(s)
      中島研吾,塙敏博,下川辺隆史,伊田明弘,芝隼人,三木洋平,星野哲也,有間英志,河合直聡,坂本龍一,近藤正章,岩下武史,八代尚,長尾大道,松葉浩也,荻田武史,片桐孝洋,古村孝志,鶴岡弘,市村強,藤田航平
    • Organizer
      情報処理学会研究報告(2021-HPC-179-1)
    • Data Source
      KAKENHI-PROJECT-19H05662
  • [Presentation] Convolutional neural network to detect deep low-frequency tremors from seismic waveform images2021

    • Author(s)
      Kaneko, R., H. Nagao, S. Ito, K. Obara, and H. Tsuruoka
    • Organizer
      PAKDD2021 Workshop on Machine Learning for Measurement Informatics
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K21785
  • [Presentation] ガウス過程回帰を用いた本震直後における余震分布の推定2021

    • Author(s)
      森川 耕輔,長尾 大道,伊藤 伸一,寺田 吉壱,酒井 慎一,平田 直
    • Organizer
      2021年度 統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-17H01704
  • [Presentation] 相互情報量と相関係数の積を用いたマッチドフィルタ法による深部低周波地震の検出2021

    • Author(s)
      栗原 亮,加藤 愛太郎,倉田 澄人,長尾 大道
    • Organizer
      2021年度 統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-20K21785
  • [Presentation] Forecasting temporal variation of aftershocks immediately after a main shock using Gaussian process regression2021

    • Author(s)
      Morikawa, K., H. Nagao, S. Ito, Y. Terada, S. Sakai, and N. Hirata
    • Organizer
      Asia Oceania Geosciences Society
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01704
  • [Presentation] Integration of 3D Earthquake Simulation & Real-Time Data Assimilation on h3-Open-BDEC2021

    • Author(s)
      Nakajima, K., Matsuba, K., Hanawa, T., Furumura, T., Tsuruoka, H., Nagao, H.
    • Organizer
      SIAM Conference on Computational Science & Engineering (CSE21)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H05662
  • [Presentation] 地震連続波形画像からの深部低周波微動検出に向けた 畳み込みニューラルネットワークの構築2021

    • Author(s)
      金子 亮介,長尾 大道,伊藤 伸一,小原 一成,鶴岡 弘
    • Organizer
      日本地震学会2021年度秋季大会
    • Data Source
      KAKENHI-PROJECT-17H01704
  • [Presentation] ガウス過程回帰を用いた本震直後における余震分布の推定2021

    • Author(s)
      森川 耕輔,長尾 大道,伊藤 伸一,寺田 吉壱,酒井 慎一,平田 直
    • Organizer
      日本地震学会2021年度秋季大会
    • Data Source
      KAKENHI-PROJECT-17H01704
  • [Presentation] Convolutional neural network to detect deep low-frequency tremors from seismic waveform images2021

    • Author(s)
      Kaneko, R., H. Nagao, S. Ito, K. Obara, and H. Tsuruoka
    • Organizer
      Asia Oceania Geosciences Society Annual Meeting
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H05662
  • [Presentation] ガウス過程回帰を用いた本震直後における余震分布の推定2021

    • Author(s)
      森川 耕輔,長尾 大道,伊藤 伸一,寺田 吉壱,酒井 慎一,平田 直
    • Organizer
      日本地震学会2021年度秋季大会
    • Data Source
      KAKENHI-PROJECT-18H03210
  • [Presentation] 相互情報量と相関係数の積を用いたマッチドフィルタ法による深部低周波地震の検出2021

    • Author(s)
      栗原 亮,加藤 愛太郎,倉田 澄人,長尾 大道
    • Organizer
      日本地震学会2021年度秋季大会
    • Data Source
      KAKENHI-PROJECT-20K21785
  • [Presentation] 双極子間相互作用を含む時間依存Ginzburg-Landau方程式によるパターン形成における相分類の提案と解析的な相予測2021

    • Author(s)
      安崎 遼路,伊藤 伸一,長尾 大道,水牧 仁一朗,岡田 真人,赤井 一郎
    • Organizer
      第68回応用物理学会 春季学術講演会
    • Data Source
      KAKENHI-PROJECT-20K21785
  • [Presentation] 畳み込みニューラルネットワークを用いた地震波形画像からの深部低周波微動の検出2021

    • Author(s)
      金子 亮介,長尾 大道,伊藤 伸一,小原 一成,鶴岡 弘
    • Organizer
      2021年度 統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-18H03210
  • [Presentation] 時間依存Ginzburg-Landau方程式による2次元スピン系でのパターン形成に関する理論的研究2021

    • Author(s)
      安崎 遼路,伊藤 伸一,長尾 大道,水牧 仁一朗,岡田 真人,赤井 一郎
    • Organizer
      日本物理学会 第76回年次大会
    • Data Source
      KAKENHI-PROJECT-17H01703
  • [Presentation] ガウス過程回帰を用いた本震直後における余震分布の推定2021

    • Author(s)
      森川 耕輔,長尾 大道,伊藤 伸一,寺田 吉壱,酒井 慎一,平田 直
    • Organizer
      日本地震学会2021年度秋季大会
    • Data Source
      KAKENHI-PROJECT-20K21785
  • [Presentation] Integration of (Simulation +Data+Learning) for Innovative Scientific Computing by h3-Open-BDEC on Wisteria/BDEC-012021

    • Author(s)
      Nakajima K., Iwashita T., Yashiro H., Shimokawabe T., Nagao H., Matsuba H., Ogita T., Katagiri T.
    • Organizer
      Arm HPC User’s Group (AHUG) Workshop, ISC High Performance 2021 Digital
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H05662
  • [Presentation] 時間依存Ginzburg-Landau方程式による2次元スピン系でのパターン形成に関する理論的研究2021

    • Author(s)
      安崎 遼路,伊藤 伸一,長尾 大道,水牧 仁一朗,岡田 真人,赤井 一郎
    • Organizer
      日本物理学会 第76回年次大会
    • Data Source
      KAKENHI-PROJECT-20K21785
  • [Presentation] データ同化によるフェーズフィールドモデリングの深化2020

    • Author(s)
      長尾大道,伊藤伸一,糟谷正,井上純哉
    • Organizer
      第33回 日本放射光学会年会・放射光科学合同シンポジウム
    • Invited
    • Data Source
      KAKENHI-PROJECT-17H01704
  • [Presentation] Twin experiment of 4DVar capable of uncertainty quantification based on seismic wavefield propagation2020

    • Author(s)
      Nagao, H., Ito, S., Kano, M., Matsumura
    • Organizer
      日本地球惑星科学連合2020年大会
    • Data Source
      KAKENHI-PROJECT-19H05662
  • [Presentation] Decomposition of multiple seasonal components in a seasonal adjustment model2020

    • Author(s)
      Nagao, H.
    • Organizer
      Joint Statistical Meetings
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H03210
  • [Presentation] 畳み込みニューラルネットワークに基づく地震波形画像からの深部低周波微動検出に向けた数値実験2020

    • Author(s)
      金子 亮介,長尾 大道,伊藤 伸一,小原 一成,鶴岡 弘
    • Organizer
      日本地震学会2020年度秋季大会
    • Data Source
      KAKENHI-PROJECT-17H01703
  • [Presentation] データ同化によるフェーズフィールドモデリングの深化2020

    • Author(s)
      長尾 大道,伊藤 伸一,糟谷 正,井上 純哉
    • Organizer
      第33回 日本放射光学会年会・放射光科学合同シンポジウム
    • Invited
    • Data Source
      KAKENHI-PROJECT-17H01703
  • [Presentation] Twin experiment of 4DVar capable of uncertainty quantification based on seismic wavefield propagation2020

    • Author(s)
      Nagao, H., S. Ito, M. Kano, and M. Matsumura
    • Organizer
      日本地球惑星科学連合2020年大会
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01703
  • [Presentation] Twin experiment of 4DVar capable of uncertainty quantification based on seismic wavefield propagation2020

    • Author(s)
      H. Nagao
    • Organizer
      JpGU-AGU Joint Meeting 2020
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01704
  • [Presentation] h3-Open-BDEC: Innovative Software Platform for Scientific Computing in the Exascale Era by Integrations of (Simulation + Data + Learning)2020

    • Author(s)
      Iwashita, T, Nakajima, K., Shimokawabe, T., Nagao, H., Ogita, T., Katagiri, T., Yashiro, H., Matsuba, H.
    • Organizer
      International Conference on High Performance Computing in Asia-Pacific Region (HPC Asia 2020) (poster)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H05662
  • [Presentation] Twin experiment of 4DVar capable of uncertainty quantification based > on seismic wavefield propagation2020

    • Author(s)
      Nagao, H.
    • Organizer
      日本地球惑星科学連合2020年大会
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H03210
  • [Presentation] (計算+データ+学習)融合によるエクサスケール時代の革新的シミュレーション手法2020

    • Author(s)
      中島研吾,岩下武史,八代尚,下川辺隆史,松葉浩也,長尾大道,荻田武史,片桐孝洋
    • Organizer
      第25回計算工学講演会
    • Data Source
      KAKENHI-PROJECT-19H05662
  • [Presentation] Decomposition of multiple seasonal components in a seasonal adjustment model2020

    • Author(s)
      Haba, T., Nagao, H., Ito, S
    • Organizer
      Joint Statistical Meetings
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H05662
  • [Presentation] 畳み込みニューラルネットワークに基づく地震波形画像からの深部低周波微動検出に向けた数値実験2020

    • Author(s)
      金子 亮介,長尾 大道,伊藤 伸一,小原 一成,鶴岡 弘
    • Organizer
      日本地震学会2020年度秋季大会
    • Data Source
      KAKENHI-PROJECT-20K21785
  • [Presentation] Decomposition of multiple seasonal components in a seasonal adjustment model2020

    • Author(s)
      Haba, T., H. Nagao, and S. Ito
    • Organizer
      Joint Statistical Meetings
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01703
  • [Presentation] Decomposition of multiple seasonal components in a seasonal adjustment model2020

    • Author(s)
      H. Nagao
    • Organizer
      Joint Statistical Meetings
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01704
  • [Presentation] Decomposition of multiple seasonal components in a seasonal adjustment model2020

    • Author(s)
      Haba, T., H. Nagao, and S. Ito
    • Organizer
      Joint Statistical Meetings
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K21785
  • [Presentation] (計算+データ+学習)融合によるエクサスケール時代の革新的シミュレーション手法2020

    • Author(s)
      中島研吾,岩下武史,八代尚,下川辺隆史,長尾大道,荻田武史,片桐孝洋,松葉浩也
    • Organizer
      第12回 自動チューニング技術の現状と応用に関するシンポジウム(ATTA2020)
    • Data Source
      KAKENHI-PROJECT-19H05662
  • [Presentation] Bayesian inference for phase-field models with non-time-series data2019

    • Author(s)
      Nagao, H. and S. Ito
    • Organizer
      27th International Union of Geodesy and Geophysics (IUGG) General Assembly
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01703
  • [Presentation] Decomposition of multiple seasonal components in a seasonal adjustment model2019

    • Author(s)
      Haba, T., H. Nagao, and S. Ito
    • Organizer
      16th Annual Meeting, Asia Oceania Geosciences Society (AOGS)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01703
  • [Presentation] データ同化の基礎と応用2019

    • Author(s)
      長尾大道
    • Organizer
      日本鉄鋼協会 材料の組織と特性部会
    • Invited
    • Data Source
      KAKENHI-PROJECT-17H01704
  • [Presentation] (計算+データ+学習)融合によるエクサスケール時代の革新的シミュレーション手法2019

    • Author(s)
      中島研吾,岩下武史,八代尚,下川辺隆史,長尾大道,荻田武史,片桐孝洋,松葉浩也
    • Organizer
      第11回 自動チューニング技術の現状と応用に関するシンポジウム(ATTA2019)
    • Data Source
      KAKENHI-PROJECT-19H05662
  • [Presentation] Uncertainty quantification for parameters and time series forecasting based on data assimilation2019

    • Author(s)
      H. Nagao and S. Ito
    • Organizer
      12th International Conference on the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2019)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01704
  • [Presentation] フェーズフィールド法に基づくデータ同化研究の最前線2019

    • Author(s)
      長尾 大道
    • Organizer
      第7回材料系ワークショップ
    • Invited
    • Data Source
      KAKENHI-PROJECT-17H01704
  • [Presentation] Uncertainty quantification for inhomogeneous frictional features in a slow-slipping fault based on a large-scale four-dimensional variational data assimilation2019

    • Author(s)
      Ito, S., M. Kano, and Nagao, H.
    • Organizer
      American Geophysical Union (AGU) Fall Meeting
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01703
  • [Presentation] Uncertainty quantification based on 4DVar data assimilation for massive simulation models2019

    • Author(s)
      Ito, S., M. Kano, and H. Nagao
    • Organizer
      11th International Workshop on Statistical Seismology (StatSei11)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H05662
  • [Presentation] Implementation of replica exchange Monte Carlo on 4DVar for global optimization2019

    • Author(s)
      Nagao, H., S. Ito, K. Hasegawa, M. Kano, M. Okada, H. Hino, K. Nagata, and N. Hirata
    • Organizer
      American Geophysical Union (AGU) Fall Meeting
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01703
  • [Presentation] Seismic wavefield imaging of long-period ground motion in the Tokyo Metropolitan area, Japan2019

    • Author(s)
      Nagao, H., M. Kano, K. Nagata, S. Ito, S. Sakai, S. Nakagawa, M. Hori, and N. Hirata
    • Organizer
      International Conference on Mathematical Modeling and Applications
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01703
  • [Presentation] フェーズフィールド法に基づくデータ同化モデリング2019

    • Author(s)
      長尾 大道
    • Organizer
      第2回計測インフォマティクス研究会(人工知能学会第2種研究会)
    • Invited
    • Data Source
      KAKENHI-PROJECT-17H01703
  • [Presentation] フェーズフィールド法に基づくデータ同化モデリング2019

    • Author(s)
      長尾大道
    • Organizer
      第2回計測インフォマティクス研究会(人工知能学会第2種研究会)
    • Invited
    • Data Source
      KAKENHI-PROJECT-17H01704
  • [Presentation] Seismic Wavefield Imaging of Long-Period Ground Motion in the Tokyo Metropolitan Area, Japan2019

    • Author(s)
      Nagao, H
    • Organizer
      ICMMA 2018"Data Science, Time Series Modeling and Applications
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H03210
  • [Presentation] Uncertainty quantification based on 4DVar data assimilation for massive simulation models2019

    • Author(s)
      Ito, S., M. Kano, and H. Nagao
    • Organizer
      11th International Workshop on Statistical Seismology (StatSei11)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01703
  • [Presentation] Seismic wavefield imaging of long-period ground motion in the Tokyo Metropolitan area2019

    • Author(s)
      Nagao, H., M. Kano, K. Nagata, S. Ito, S. Sakai, S. Nakagawa, M. Hori, and N. Hirata
    • Organizer
      International Conference on Mathematical Modeling and Applications (ICMMA)
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01704
  • [Presentation] Uncertainty quantification based on 4DVar data assimilation for massive simulation models2019

    • Author(s)
      Ito, S. and H. Nagao
    • Organizer
      Frontiers of Statistical Physics (FSP2019)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01703
  • [Presentation] Uncertainty quantification for parameters and time series forecasting based on data assimilation2019

    • Author(s)
      Nagao, H. and S. Ito
    • Organizer
      12th International Conference on the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2019)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H03210
  • [Presentation] 地震ビッグデータ解析の過去・現在・未来2019

    • Author(s)
      長尾大道
    • Organizer
      滋賀大学データサイエンスセミナー
    • Invited
    • Data Source
      KAKENHI-PROJECT-19H05662
  • [Presentation] Bayesian inference of grain growth prediction via multi-phase-field models2019

    • Author(s)
      Nagao, H., S. Ito, T. Kurokawa, T. Kasuya, and J. Inoue
    • Organizer
      European Geosciences Union (EGU) General Assembly
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01703
  • [Presentation] フェーズフィールド法に基づくデータ同化研究の最前線2019

    • Author(s)
      長尾 大道
    • Organizer
      第7回材料系ワークショップ
    • Invited
    • Data Source
      KAKENHI-PROJECT-16H02823
  • [Presentation] 地震ビッグデータ解析の過去・現在・未来2019

    • Author(s)
      長尾大道
    • Organizer
      滋賀大学データサイエンスセミナー
    • Invited
    • Data Source
      KAKENHI-PROJECT-17H01704
  • [Presentation] データ同化の基礎と応用2019

    • Author(s)
      長尾大道
    • Organizer
      材料の組織と特性部会
    • Invited
    • Data Source
      KAKENHI-PROJECT-19H05662
  • [Presentation] Uncertainty quantification for parameters and time series forecasting based on data assimilation2019

    • Author(s)
      Nagao, H. and S. Ito
    • Organizer
      12th International Conference on the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2019)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H05662
  • [Presentation] Bayesian inference of grain growth prediction via multi-phase-field models2019

    • Author(s)
      Ito, S., Nagao, H., T. Kurokawa, T. Kasuya, and J. Inoue
    • Organizer
      16th Annual Meeting, Asia Oceania Geosciences Society (AOGS)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01703
  • [Presentation] 4次元変分法データ同化2019

    • Author(s)
      長尾 大道
    • Organizer
      第20回 京都大学 情報学シンポジウム「数理・計算科学の挑戦」
    • Invited
    • Data Source
      KAKENHI-PROJECT-17H01703
  • [Presentation] 4次元変分法データ同化の新展開2019

    • Author(s)
      長尾 大道,伊藤 伸一,長谷川 慶
    • Organizer
      統計関連学会連合大会
    • Invited
    • Data Source
      KAKENHI-PROJECT-17H01703
  • [Presentation] Bayesian inference of grain growth prediction via multi-phase-field models2019

    • Author(s)
      Ito, S., Nagao, H., T. Kurokawa, T. Kasuya, and J. Inoue
    • Organizer
      NIMS WEEK 2019
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01703
  • [Presentation] 4次元変分法データ同化の新展開2019

    • Author(s)
      長尾大道,伊藤伸一,長谷川慶
    • Organizer
      2019年度統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-19H05662
  • [Presentation] ータ同化によるフェーズフィールドモデリングの深化2019

    • Author(s)
      長尾大道,伊藤伸一,糟谷正,井上純哉
    • Organizer
      第33回日本放射光学会年会・放射光科学合同シンポジウム
    • Invited
    • Data Source
      KAKENHI-PROJECT-19H05662
  • [Presentation] Bayesian inference for phase-field models with non-time-series data2019

    • Author(s)
      H. Nagao and S. Ito
    • Organizer
      27th IUGG General Assembly
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01704
  • [Presentation] Bayesian inference of grain growth prediction via multi-phase-field models2019

    • Author(s)
      Ito, S., Nagao, H., T. Kasuya, and J. Inoue
    • Organizer
      7th International Symposium on Data Assimilation (ISDA)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01704
  • [Presentation] 大規模4次元変分法データ同化に基づくスロースリップ断層面における摩擦特性不均一性の不確実性評価2019

    • Author(s)
      伊藤 伸一,加納 将行,長尾 大道
    • Organizer
      日本地震学会2019年度秋季大会
    • Data Source
      KAKENHI-PROJECT-17H01703
  • [Presentation] フェーズフィールド法に基づくデータ同化研究の最前線2019

    • Author(s)
      長尾 大道
    • Organizer
      第7回材料系ワークショップ
    • Invited
    • Data Source
      KAKENHI-PROJECT-17H01703
  • [Presentation] Uncertainty quantification for parameters and time series forecasting based on data assimilation2019

    • Author(s)
      Nagao, H. and S. Ito
    • Organizer
      12th International Conference on the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2019)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01703
  • [Presentation] Uncertainty quantification based on 4DVar data assimilation for massive simulation models2019

    • Author(s)
      Ito, S., M. Kano, and Nagao, H.
    • Organizer
      日本地球惑星科学連合2019年大会
    • Data Source
      KAKENHI-PROJECT-17H01703
  • [Presentation] 4次元変分法データ同化の新展開2019

    • Author(s)
      長尾大道,伊藤伸一,長谷川慶
    • Organizer
      2019年度 統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-18H03210
  • [Presentation] フェーズフィールド法に基づくデータ同化モデリング2019

    • Author(s)
      長尾 大道
    • Organizer
      第2回計測インフォマティクス研究会
    • Invited
    • Data Source
      KAKENHI-PROJECT-16H02823
  • [Presentation] Bayesian inference for phase-field models with non-time-series data2019

    • Author(s)
      Nagao, H. and S. Ito
    • Organizer
      27th International Union of Geodesy and Geophysics (IUGG) General Assembly
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H03210
  • [Presentation] 4次元変分法データ同化の新展開2019

    • Author(s)
      長尾大道,伊藤伸一,長谷川慶
    • Organizer
      2019年度 統計関連学会連合大会
    • Invited
    • Data Source
      KAKENHI-PROJECT-17H01704
  • [Presentation] Bayesian inference of grain growth prediction via multi-phase-field models2019

    • Author(s)
      Nagao, H., S. Ito, T. Kurokawa, T. Kasuya, and J. Inoue
    • Organizer
      American Physical Society March Meeting 2018
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01703
  • [Presentation] Data assimilation for grain growth prediction via multi-phase-field models2019

    • Author(s)
      Nagao, H., S. Ito, T. Kasuya, and J. Inoue
    • Organizer
      The International Conference on Computational & Experimental Engineering and Sciences
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01703
  • [Presentation] Bayesian inference of grain growth prediction via multi-phase-field models2019

    • Author(s)
      H. Nagao, S. Ito, T. Kurokawa, T. Kasuya, and J. Inoue
    • Organizer
      EGU General Assembly
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01704
  • [Presentation] Bayesian inference of grain growth prediction via multi-phase-field models2019

    • Author(s)
      Ito, S., Nagao, H., T. Kurokawa, T. Kasuya, and J. Inoue
    • Organizer
      日本地球惑星科学連合2019年大会
    • Data Source
      KAKENHI-PROJECT-17H01703
  • [Presentation] 4次元変分法データ同化のための不確実性評価法2018

    • Author(s)
      長尾 大道, 伊藤 伸一
    • Organizer
      第12回 日本統計学会春季集会
    • Invited
    • Data Source
      KAKENHI-PROJECT-17H01703
  • [Presentation] 4次元変分法データ同化のための不確実性評価法2018

    • Author(s)
      長尾大道,伊藤伸一
    • Organizer
      第12回 日本統計学会春季集会
    • Data Source
      KAKENHI-PROJECT-16H02823
  • [Presentation] 4次元変分法データ同化のための不確実性評価法2018

    • Author(s)
      長尾 大道,伊藤 伸一
    • Organizer
      第12回 日本統計学会春季集会
    • Invited
    • Data Source
      KAKENHI-PROJECT-26280006
  • [Presentation] 計測と計算を融合するデータ同化の地震ビッグデータへの応用2018

    • Author(s)
      長尾 大道
    • Organizer
      公開シンポジウム 「新たな発見をもたらす科学における計測と予知・予測」
    • Invited
    • Data Source
      KAKENHI-PROJECT-17H01703
  • [Presentation] 計測と計算を融合するデータ同化の地震ビッグデータへの応用2018

    • Author(s)
      長尾 大道
    • Organizer
      公開シンポジウム 「新たな発見をもたらす科学における計測と予知・予測」
    • Invited
    • Data Source
      KAKENHI-PROJECT-17H01704
  • [Presentation] Data assimilation based on four-dimensional variational method: Optimization and uncertainty quantification2018

    • Author(s)
      Nagao, H. and S. Ito
    • Organizer
      3rd International Symposium on Research and Education of Computational Science (RECS 2018)
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01704
  • [Presentation] Data assimilation for massive autonomous systems based on a second-order adjoint method2018

    • Author(s)
      Nagao, H. and S. Ito
    • Organizer
      2nd International Conference on Econometrics and Statistics (EcoSta 2018)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16H02823
  • [Presentation] Data assimilation based on four-dimensional variational method: Optimization and uncertainty quantification2018

    • Author(s)
      Nagao, H. and S. Ito
    • Organizer
      3rd International Symposium on Research and Education of Computational Science (RECS 2018)
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16H02823
  • [Presentation] Model selection of material structure based on empirical Bayes method2018

    • Author(s)
      Ito, S., H. Nagao, T. Kasuya, and J. Inoue
    • Organizer
      9th Japanese Data Assimilation Workshop
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01704
  • [Presentation] 4次元変分法データ同化の数理2018

    • Author(s)
      長尾 大道, 伊藤 伸一
    • Organizer
      第2回RCMSサロン
    • Invited
    • Data Source
      KAKENHI-PROJECT-17H01703
  • [Presentation] Pressure-Temperature-Time Path Inversion from Zoned Minerals Using Data Assimilation2018

    • Author(s)
      Kuwatani, T., H. Nagao, A. Okamoto, K. Yoshida, S. Ito, and T. Okudaira
    • Organizer
      Asia Oceania Geoscience Society 15th Annual Meeting
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01703
  • [Presentation] データ同化:大規模モデルと大容量データの融合2018

    • Author(s)
      長尾 大道
    • Organizer
      ポスト「京」重点課題(7) 研究集会「データ駆動科学と高速計算科学」
    • Invited
    • Data Source
      KAKENHI-PROJECT-17H01703
  • [Presentation] 物理モデルと観測データとの融合による地震波動場推定法2018

    • Author(s)
      長尾 大道
    • Organizer
      大阪大学 数理・データ科学教育研究センターセミナー
    • Invited
    • Data Source
      KAKENHI-PROJECT-17H01703
  • [Presentation] 4次元変分法データ同化の数理2018

    • Author(s)
      長尾 大道,伊藤 伸一
    • Organizer
      第2回RCMSサロン
    • Invited
    • Data Source
      KAKENHI-PROJECT-16H02823
  • [Presentation] 多変量季節調整法の開発2018

    • Author(s)
      北川源四郎,国友直人,田野倉葉子,佐藤整尚,長尾大道
    • Organizer
      2018年度統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-18H03210
  • [Presentation] データ同化:大規模モデルと大容量データの融合2018

    • Author(s)
      長尾 大道
    • Organizer
      ポスト「京」重点課題(7) 研究集会「データ駆動科学と高速計算科学」
    • Invited
    • Data Source
      KAKENHI-PROJECT-16H02823
  • [Presentation] 情報計測の高度化に向けた統計的・機械学習的アプローチの今後の展望2018

    • Author(s)
      長尾 大道, 日野 英逸
    • Organizer
      2018年度 統計関連学会連合大会
    • Invited
    • Data Source
      KAKENHI-PROJECT-17H01703
  • [Presentation] Uncertainty quantification for massive autonomous systems based on a second-order adjoint method2017

    • Author(s)
      S. Ito, H. Nagao, and M. Kano
    • Organizer
      European Geosciences Union, General Assembly 2017
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-26280006
  • [Presentation] Data assimilation for massive autonomous systems based on a second-order adjoint method2017

    • Author(s)
      Nagao, H. and S. Ito
    • Organizer
      Asia Oceania Geoscience Society, 14th Annual Meeting
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16H02823
  • [Presentation] フェーズフィールド法への4次元変分法データ同化の展開2017

    • Author(s)
      長尾 大道
    • Organizer
      第9回 自動チューニング技術の現状と応用に関するシンポジウム
    • Invited
    • Data Source
      KAKENHI-PROJECT-26280006
  • [Presentation] フェーズフィールドモデルに基づく4次元変分法データ同化2017

    • Author(s)
      長尾 大道, 伊藤 伸一
    • Organizer
      日本機械学会 第30回計算力学講演会
    • Invited
    • Data Source
      KAKENHI-PROJECT-26280006
  • [Presentation] Data assimilation for massive autonomous systems based on a second-order adjoint method2017

    • Author(s)
      H. Nagao and S. Ito
    • Organizer
      Asia Oceania Geoscience Society, Annual Meeting 2017
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-26280006
  • [Presentation] Data assimilation for massive autonomous systems based on a second-order adjoint method2017

    • Author(s)
      H. Nagao and S. Ito
    • Organizer
      Taiwan-Japan Joint Workshop on Inverse Problems in Kanazawa 2017
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01703
  • [Presentation] Seismic wavefield imaging in the Tokyo Metropolitan area based on the replica exchange Monte Carlo method2017

    • Author(s)
      Kano, M., H. Nagao, K. Nagata, S. Ito, S. Sakai, S. Nakagawa, M. Hori, and N. Hirata
    • Organizer
      2017年度 統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-17H01704
  • [Presentation] Uncertainty quantification based on second-order adjoint method for data assimilation using massive autonomous systems2017

    • Author(s)
      Ito, S., H. Nagao, A. Yamanaka, Y. Tsukada, T. Koyama, M. Kano, and J. Inoue
    • Organizer
      RIKEN International Symposium on Data Assimilation
    • Place of Presentation
      理化学研究所 計算科学研究機構(兵庫県神戸市)
    • Year and Date
      2017-02-28
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-26280006
  • [Presentation] Data assimilation for massive autonomous systems based on a second-order adjoint method2017

    • Author(s)
      Nagao, H. and S. Ito
    • Organizer
      Taiwan-Japan Joint Workshop on Inverse Problems in Kanazawa 2017
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16H02823
  • [Presentation] フェーズフィールド法への4次元変分法データ同化の展開2017

    • Author(s)
      長尾 大道
    • Organizer
      第9回 自動チューニング技術の現状と応用に関するシンポジウム
    • Invited
    • Data Source
      KAKENHI-PROJECT-17H01703
  • [Presentation] Data assimilation based on 4DVar for structural materials2017

    • Author(s)
      Nagao, H., S. Ito, T. Kasuya, and J. Inoue
    • Organizer
      American Physical Society March Meeting
    • Place of Presentation
      New Orleans, USA
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16H02823
  • [Presentation] Data assimilation for massive autonomous systems based on a second-order adjoint method2017

    • Author(s)
      H. Nagao and S. Ito
    • Organizer
      Taiwan-Japan Joint Workshop on Inverse Problems in Kanazawa 2017
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-26280006
  • [Presentation] フェーズフィールド法への4次元変分法データ同化の展開2017

    • Author(s)
      長尾大道
    • Organizer
      第9回 自動チューニング技術の現状と応用に関するシンポジウム (ATTA2017)
    • Invited
    • Data Source
      KAKENHI-PROJECT-16H02823
  • [Presentation] データ同化の基礎と応用,そしてデータ駆動科学2017

    • Author(s)
      長尾 大道
    • Organizer
      新学術領域研究「スパースモデリングの深化と高次元データ駆動科学の創成」第4回チュートリアル講演会
    • Invited
    • Data Source
      KAKENHI-PUBLICLY-16H01536
  • [Presentation] Optimizing Forward and Backward computations in the adjoint method via Multi-level Blocking2017

    • Author(s)
      Tomoya Ikeda, Shin-ichi Ito, Hiromichi Nagao, Takahiro Katagiri, Toru Nagai, Masao Ogino
    • Organizer
      Second International Workshop on Deepening Performance Models for Automatic Tuning (DPMAT)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16H02823
  • [Presentation] Seismic wavefield imaging of long-period ground motion in the Tokyo metropolitan area, Japan2017

    • Author(s)
      Nagao, H.*, M. Kano, K. Nagata, S. Ito, S. Sakai, S. Nakagawa, M. Hori, and N. Hirata
    • Organizer
      AGU 2017 Fall Meeting
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01704
  • [Presentation] フェーズフィールドモデルに基づく4次元変分法データ同化2017

    • Author(s)
      長尾大道, 伊藤伸一
    • Organizer
      日本機械学会 第30回計算力学講演会
    • Invited
    • Data Source
      KAKENHI-PROJECT-16H02823
  • [Presentation] レプリカ交換モンテカルロ法に基づく首都圏地震動イメージング ~高速化に向けて~2017

    • Author(s)
      長尾 大道
    • Organizer
      新学術領域研究「スパースモデリング」 2017年度第1回公開シンポジウム
    • Data Source
      KAKENHI-PUBLICLY-16H01536
  • [Presentation] シミュレーション/データ両駆動型データ同化法の創出へ2017

    • Author(s)
      長尾 大道, 伊藤 伸一
    • Organizer
      SCI'17
    • Data Source
      KAKENHI-PUBLICLY-16H01536
  • [Presentation] Parameter estimation for two-dimensional phase-field simulation using ensemble Kalman filter2017

    • Author(s)
      K. Sasaki, A. Yamanaka, S. Ito, and H. Nagao
    • Organizer
      4th World Congress on Integrated Computational Materials Engineering (ICME 2017)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-26280006
  • [Presentation] Uncertainty quantification for massive autonomous systems based on a second-order adjoint method2017

    • Author(s)
      S. Ito, H. Nagao, and M. Kano
    • Organizer
      European Geosciences Union General Assembly 2017
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01703
  • [Presentation] 大自由度系のデータ同化のための2nd-order adjoint法を用いた高速不確実性評価法2017

    • Author(s)
      伊藤伸一, 長尾大道, 加納将行, 黒河天
    • Organizer
      科研費シンポジウム「統計的モデリングと計算アルゴリズムの数理と展開」
    • Place of Presentation
      名古屋大学(愛知県名古屋市)
    • Data Source
      KAKENHI-PROJECT-16H02823
  • [Presentation] Data assimilation for massive autonomous systems based on a second-order adjoint method2017

    • Author(s)
      H. Nagao and S. Ito
    • Organizer
      Asia Oceania Geoscience Society Annual Meeting 2017
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01703
  • [Presentation] Towards a generation of the simulation-/data-driven data assimilation2017

    • Author(s)
      H. Nagao
    • Organizer
      第55回 日本生物物理学会年会
    • Invited
    • Data Source
      KAKENHI-PUBLICLY-16H01536
  • [Presentation] 地震研究に貢献する統計科学2016

    • Author(s)
      長尾 大道
    • Organizer
      2016年度 統計関連学会連合大会 市民講演会
    • Place of Presentation
      石川県教育会館(石川県金沢市)
    • Year and Date
      2016-09-04
    • Invited
    • Data Source
      KAKENHI-PUBLICLY-16H01536
  • [Presentation] Observation site selection strategy based on DC programming beneficial to seismic wave field imaging utilizing dense seismic array data2016

    • Author(s)
      Nagao, H., D. Ishikawa, and M. Kano
    • Organizer
      Asia Oceania Geoscience Society 13th Annual Meeting
    • Place of Presentation
      China National Convention Centre (Beijing, China)
    • Year and Date
      2016-08-02
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-26280006
  • [Presentation] クリギング法のための非凸最適化に基づく観測点選択2016

    • Author(s)
      石川 大智, 加納 将行, 長尾 大道
    • Organizer
      日本地球惑星科学連合2016年大会
    • Place of Presentation
      幕張メッセ(千葉県幕張市)
    • Year and Date
      2016-05-22
    • Data Source
      KAKENHI-PUBLICLY-16H01536
  • [Presentation] 地震研究に貢献する統計科学2016

    • Author(s)
      長尾 大道
    • Organizer
      統計関連学会連合大会 市民講演会
    • Place of Presentation
      石川県教育会館(石川県金沢市)
    • Year and Date
      2016-09-04
    • Invited
    • Data Source
      KAKENHI-PROJECT-26280006
  • [Presentation] Observation site selection strategy based on DC programming beneficial to seismic wave field imaging utilizing dense seismic array data2016

    • Author(s)
      Nagao, H., D. Ishikawa, and M. Kano
    • Organizer
      Asia Oceania Geoscience Society 13th Annual Meeting
    • Place of Presentation
      China National Convention Center (Beijing, China)
    • Year and Date
      2016-08-02
    • Int'l Joint Research
    • Data Source
      KAKENHI-PUBLICLY-16H01536
  • [Presentation] Seismic wavefield imaging based on the replica exchange Monte Carlo2016

    • Author(s)
      Kano, M., H. Nagao, D. Ishikawa, S. Sakai, S. Nakagawa, M. Hori, and N. Hirata
    • Organizer
      Asia Oceania Geoscience Society 13th Annual Meeting
    • Place of Presentation
      China National Convention Centre (Beijing, China)
    • Year and Date
      2016-08-05
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-26280006
  • [Presentation] Selection of observation points in kriging based on non-convex programming2016

    • Author(s)
      Ishikawa, D., M. Kano, S. Ito, and H. Nagao
    • Organizer
      American Geophysical Union Fall Meeting 2016
    • Place of Presentation
      Moscone Center, San Francisco, USA
    • Year and Date
      2016-12-14
    • Int'l Joint Research
    • Data Source
      KAKENHI-PUBLICLY-16H01536
  • [Presentation] クリギング法のための非凸最適化に基づく観測点選択2016

    • Author(s)
      石川 大智, 加納 将行, 伊藤 伸一, 長尾 大道
    • Organizer
      2016年度 統計関連学会連合大会
    • Place of Presentation
      金沢大学角間キャンパス(石川県金沢市)
    • Year and Date
      2016-09-05
    • Data Source
      KAKENHI-PUBLICLY-16H01536
  • [Presentation] Selection of observation points in kriging based on non-convex programming2016

    • Author(s)
      Ishikawa, D., M. Kano, S. Ito, and H. Nagao
    • Organizer
      American Geophysical Union Fall Meeting 2016
    • Place of Presentation
      Moscone Center (San Francisco, USA)
    • Year and Date
      2016-12-14
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-26280006
  • [Presentation] Imaging ground motions in the Tokyo metropolitan area from MeSO-net seismograms based on LASSO2015

    • Author(s)
      Mizusako, S., H. Nagao, K. Hirose, M. Kano, and M. Hori
    • Organizer
      The 4th International Symposium on Data Assimilation
    • Place of Presentation
      理化学研究所(兵庫県神戸市)
    • Year and Date
      2015-02-24
    • Data Source
      KAKENHI-PUBLICLY-26120510
  • [Presentation] Azimuth verification of the MeSO-net accelerographs ---towards the imaging of ground motions in the Tokyo metropolitan area---2015

    • Author(s)
      Kano, M., H. Nagao, K. Shiomi, S. Sakai, S. Nakagawa, S. Mizusako, M. Hori, and N. Hirata
    • Organizer
      26th General Assembly of the International Union of Geodesy and Geophysics
    • Place of Presentation
      プラハ(チェコ共和国)
    • Year and Date
      2015-06-27
    • Int'l Joint Research
    • Data Source
      KAKENHI-PUBLICLY-26120510
  • [Presentation] Region dividing method to clarify frictional properties in plate subduction zone with adjoint data assimilation2015

    • Author(s)
      Suzuki, A., M. Kano, H. Nagao and F. Komaki
    • Organizer
      The 4th International Symposium on Data Assimilation
    • Place of Presentation
      理化学研究所(兵庫県神戸市)
    • Year and Date
      2015-02-24
    • Data Source
      KAKENHI-PROJECT-26280006
  • [Presentation] Lasso-based imaging of ground motions in the Tokyo metropolitan area excited by large earthquakes2015

    • Author(s)
      Nagao, H.
    • Organizer
      The 24th South Taiwan Statistics Conference and 2015 Chinese Institute of Probability and Statistics Annual Meeting
    • Place of Presentation
      彰化(台湾)
    • Year and Date
      2015-06-27
    • Int'l Joint Research
    • Data Source
      KAKENHI-PUBLICLY-26120510
  • [Presentation] Lasso-based imaging of ground motions in the Tokyo metropolitan area excited by large earthquakes2015

    • Author(s)
      Nagao, H.
    • Organizer
      The 24th South Taiwan Statistics Conference and 2015 Chinese Institute of Probability and Statistics Annual Meeting
    • Place of Presentation
      彰化(台湾)
    • Year and Date
      2015-06-27
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-26280006
  • [Presentation] Lassoに基づく首都圏地震動分布のデータ駆動型イメージング2015

    • Author(s)
      水迫覚信, 長尾大道, 廣瀬慧, 加納将行, 堀宗朗, 酒井慎一, 中川茂樹, 本多亮, 木村尚紀, 平田直
    • Organizer
      日本地球惑星科学連合2015年大会
    • Place of Presentation
      幕張メッセ(千葉県・幕張市)
    • Year and Date
      2015-05-27
    • Data Source
      KAKENHI-PUBLICLY-26120510
  • [Presentation] Simulation-/data-driven data assimilation project toward "Terra Forecasting"2015

    • Author(s)
      Nagao, H., M. Kano, S. Mizusako, and A. Suzuki
    • Organizer
      The 4th International Symposium on Data Assimilation
    • Place of Presentation
      理化学研究所(兵庫県神戸市)
    • Year and Date
      2015-02-25
    • Data Source
      KAKENHI-PUBLICLY-26120510
  • [Presentation] Simulation-/data-driven data assimilation project toward "Terra Forecasting"2015

    • Author(s)
      Nagao, H., M. Kano, S. Mizusako and A. Suzuki
    • Organizer
      The 4th International Symposium on Data Assimilation
    • Place of Presentation
      理化学研究所(兵庫県神戸市)
    • Year and Date
      2015-02-25
    • Data Source
      KAKENHI-PROJECT-26280006
  • [Presentation] Region dividing method to clarify frictional properties in plate subduction zone with adjoint data assimilation2015

    • Author(s)
      Suzuki, A., M. Kano, H. Nagao, and F. Komaki
    • Organizer
      The 4th International Symposium on Data Assimilation
    • Place of Presentation
      理化学研究所(兵庫県神戸市)
    • Year and Date
      2015-02-24
    • Data Source
      KAKENHI-PUBLICLY-26120510
  • [Presentation] Data-driven imaging of seismic wave field in the Tokyo metropolitan area based on lasso2015

    • Author(s)
      Mizusako, S., H. Nagao, K. Hirose, M. Kano, M. Hori, S. Sakai, S. Nakagawa, R. Honda, H. Kimura, and N. Hirata
    • Organizer
      12th Annual Meeting of Asia Oceania Geoscience Society
    • Place of Presentation
      シンガポール(シンガポール共和国)
    • Year and Date
      2015-08-05
    • Int'l Joint Research
    • Data Source
      KAKENHI-PUBLICLY-26120510
  • [Presentation] Data-driven approaches beneficial to data assimilation in earthquake researches2015

    • Author(s)
      Nagao, H., M. Kano, S. Mizusako, and A. Suzuki
    • Organizer
      26th General Assembly of the International Union of Geodesy and Geophysics
    • Place of Presentation
      プラハ(チェコ共和国)
    • Year and Date
      2015-06-22
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-26280006
  • [Presentation] 首都圏地震動イメージング2015

    • Author(s)
      長尾大道, 加納将行, 堀宗朗, 酒井慎一, 中川茂樹, 平田直, 水迫覚信, 廣瀬慧, 本多亮, 木村尚紀
    • Organizer
      2015年度 統計関連学会連合大会
    • Place of Presentation
      岡山大学(岡山県・岡山市)
    • Year and Date
      2015-09-08
    • Data Source
      KAKENHI-PUBLICLY-26120510
  • [Presentation] データ同化 ~シミュレーション/データ両駆動型モデリングへ~2015

    • Author(s)
      長尾大道
    • Organizer
      スパースモデリングが生み出す自然科学ビッグデータ革命
    • Place of Presentation
      徳島大学工業会館(徳島県・徳島市)
    • Year and Date
      2015-09-14
    • Data Source
      KAKENHI-PUBLICLY-26120510
  • [Presentation] Data-driven approaches beneficial to data assimilation in earthquake researches2015

    • Author(s)
      Nagao, H., M. Kano, S. Mizusako, and A. Suzuki
    • Organizer
      26th General Assembly of the International Union of Geodesy and Geophysics
    • Place of Presentation
      プラハ(チェコ共和国)
    • Year and Date
      2015-07-01
    • Int'l Joint Research
    • Data Source
      KAKENHI-PUBLICLY-26120510
  • [Presentation] データ同化の基礎理論とその応用2015

    • Author(s)
      長尾大道
    • Organizer
      土木学会応用力学委員会 応用力学講演会2015
    • Place of Presentation
      土木会館(東京都・新宿区)
    • Year and Date
      2015-12-08
    • Invited
    • Data Source
      KAKENHI-PUBLICLY-26120510
  • [Presentation] Seismic wave field imaging in the Tokyo metropolitan area based on LASSO2015

    • Author(s)
      Nagao, H., S. Mizusako, K. Hirose, M. Kano, M. Hori, S. Sakai, S. Nakagawa, R. Honda, H. Kimura, and N. Hirata
    • Organizer
      International Meeting on "High-Dimensional Data Driven Science"
    • Place of Presentation
      メルパルク京都(京都府・京都市)
    • Year and Date
      2015-12-16
    • Int'l Joint Research
    • Data Source
      KAKENHI-PUBLICLY-26120510
  • [Presentation] Imaging ground motions in the Tokyo metropolitan area from MeSO-net seismograms based on LASSO2015

    • Author(s)
      Mizusako, S., H. Nagao, K. Hirose, M. Kano and M. Hori
    • Organizer
      The 4th International Symposium on Data Assimilation
    • Place of Presentation
      理化学研究所(兵庫県神戸市)
    • Year and Date
      2015-02-24
    • Data Source
      KAKENHI-PROJECT-26280006
  • [Presentation] Cloud services to release techniques of data assimilation2014

    • Author(s)
      Nagao, H. and T. Higuchi
    • Organizer
      11th Annual Meeting of Asia Oceania Geosciences Society
    • Place of Presentation
      ロイトン札幌(北海道札幌市)
    • Year and Date
      2014-07-29
    • Data Source
      KAKENHI-PROJECT-23700278
  • [Presentation] データ同化による余効すべり発生域の摩擦パラメータ推定 ~パラメータ分布の空間解像度の検証~2014

    • Author(s)
      鈴木皓博, 長尾大道, 加納将行, 宮崎真一, 駒木文保
    • Organizer
      日本測地学会 第122回講演会
    • Place of Presentation
      つくばサイエンス・インフォメーションセンター(茨城県つくば市)
    • Year and Date
      2014-11-06
    • Data Source
      KAKENHI-PROJECT-26280006
  • [Presentation] What is required for data assimilation that is applicable to big data in the solid Earth science?2014

    • Author(s)
      Nagao, H.
    • Organizer
      17th International Conference on Information Fusion
    • Place of Presentation
      Palacio de Congresos(スペイン・サラマンカ)
    • Year and Date
      2014-07-08
    • Data Source
      KAKENHI-PROJECT-26280006
  • [Presentation] データ同化による余効すべり発生域の摩擦パラメータ推定 ~パラメータ分布の空間解像度の検証~2014

    • Author(s)
      鈴木皓博, 長尾大道, 加納将行, 宮崎真一, 駒木文保
    • Organizer
      日本測地学会 第122回講演会
    • Place of Presentation
      つくばサイエンス・インフォメーションセンター(茨城県つくば市)
    • Year and Date
      2014-11-06
    • Data Source
      KAKENHI-PUBLICLY-26120510
  • [Presentation] データ同化 ~シミュレーションと観測をつなぐ計算基盤技術~2014

    • Author(s)
      長尾大道
    • Organizer
      JSIAM研究会
    • Place of Presentation
      筑波大学東京キャンパス(東京都文京区)
    • Year and Date
      2014-06-09
    • Invited
    • Data Source
      KAKENHI-PROJECT-26280006
  • [Presentation] クラウドサービスによるデータ同化技術の公開2014

    • Author(s)
      長尾大道, 樋口知之
    • Organizer
      日本地球惑星科学連合2014年大会
    • Place of Presentation
      パシフィコ横浜(神奈川県横浜市)
    • Year and Date
      2014-04-30
    • Data Source
      KAKENHI-PROJECT-23700278
  • [Presentation] 構造物即時被害予測のためのスパースモデリングに基づく地震動分布推定アルゴリズムの開発2014

    • Author(s)
      水迫覚信, 長尾大道, 廣瀬慧, 加納将行, 堀宗朗
    • Organizer
      日本地球惑星科学連合2014年大会
    • Place of Presentation
      パシフィコ横浜(神奈川県横浜市)
    • Year and Date
      2014-05-01
    • Data Source
      KAKENHI-PUBLICLY-26120510
  • [Presentation] Time-series modeling to infer properties of fractures/faults within the Earth's crust2013

    • Author(s)
      H. Nagao
    • Organizer
      Joint Meeting of the IASC Satellite Conference for the 59th ISI WSC and the 8th Conference of the Asian Regional Section of the IASC
    • Place of Presentation
      Yonsei University(Soul, Korea)
    • Year and Date
      2013-08-22
    • Data Source
      KAKENHI-PROJECT-23300108
  • [Presentation] Data assimilation on seismoacoustic waves excited by great earthquakes2012

    • Author(s)
      H. Nagao
    • Organizer
      ISM SYMPOSIUM2012: Statistical Modeling and its Applications for Risk Analysis Joint International Symposium with Statistical Researchers from Prague
    • Place of Presentation
      統計数理研究所
    • Data Source
      KAKENHI-PROJECT-23700278
  • [Presentation] Hybrid Bayesian filter algorithm for multivariate time-series modellings on cloud computing systems2011

    • Author(s)
      H. Nagao, R. Yoshida, T. Higuchi
    • Organizer
      Yeditepe International Research Conference on Bayesian Learning (YIRCoBL'11)
    • Place of Presentation
      Istanbul, Turkey
    • Data Source
      KAKENHI-PROJECT-23700278
  • [Presentation] The first results of mantle electric structure beneath east part of China from geomagneticobservatorydata2008

    • Author(s)
      Tang, J, Uveshima, M., Zhao, G., Xu, G., Utada, H., Chen, X., Yang, D., Man, Y., Xiao, Q., Toh, H., Yamaguchi, S., Nagao, H.
    • Organizer
      日本地球惑星科学連合2008年大会
    • Place of Presentation
      幕張
    • Year and Date
      2008-05-28
    • Data Source
      KAKENHI-PROJECT-18403005
  • [Presentation] The first results of mantle electric structure beneath east part of China from geomagnetic observatory data.2008

    • Author(s)
      Tang, J, 上嶋誠, Zhao G., Xu, G., 歌田久司, Chen, X., Yang, D., Zhan,Y., Xiao, Q.,藤浩明,山口覚,長尾大道
    • Organizer
      日本地球惑星科学連合2008年大会
    • Place of Presentation
      千葉県幕張
    • Year and Date
      2008-05-28
    • Data Source
      KAKENHI-PROJECT-18403005
  • [Presentation] Upper constraint on the mantle conductance estimated from the geomagnetic jerks2007

    • Author(s)
      長尾 大道
    • Organizer
      地球電磁気・地球惑星圏学会
    • Place of Presentation
      名古屋大学
    • Year and Date
      2007-09-28
    • Data Source
      KAKENHI-PROJECT-18840050
  • [Presentation] Characteristic parameters of geomagnetic jerks related to mantle conductivity2007

    • Author(s)
      Nagao H.
    • Organizer
      IUGG Perugia 2007
    • Place of Presentation
      イタリア・ペルージャ
    • Year and Date
      2007-07-02
    • Data Source
      KAKENHI-PROJECT-18840050
  • [Presentation] マントル電気伝導度に関連した地磁気ジャークの特性パラメータ2007

    • Author(s)
      長尾 大道
    • Organizer
      地球惑星科学関連学会2007年連合大会
    • Place of Presentation
      幕張メッセ
    • Year and Date
      2007-05-19
    • Data Source
      KAKENHI-PROJECT-18840050
  • [Presentation] Constraint on the heterogeneity of mantle conductivity structure obtained from the geomagnetic jerks2007

    • Author(s)
      Nagao H.
    • Organizer
      AGU Fall Meeting
    • Place of Presentation
      サンフランシスコ
    • Year and Date
      2007-12-09
    • Data Source
      KAKENHI-PROJECT-18840050
  • [Presentation] 高空間分解能を持つ地震動分布を推定するためのアルゴリズム開発

    • Author(s)
      長尾大道, 水迫覚信, 加納将行, 堀宗朗, 廣瀬慧
    • Organizer
      2014年度統計関連学会連合大会
    • Place of Presentation
      東京大学本郷キャンパス(東京都文京区)
    • Year and Date
      2014-09-13 – 2014-09-16
    • Data Source
      KAKENHI-PUBLICLY-26120510
  • [Presentation] 大地震発生に伴う微気圧・電離層変動のモデリング-2008年岩手・宮城内陸地震の場合-

    • Author(s)
      長尾大道
    • Organizer
      「青い地球の地震学」研究会
    • Place of Presentation
      東京大学地震研究所
    • Data Source
      KAKENHI-PROJECT-23700278
  • [Presentation] Data assimilation system for seismoacoustic waves

    • Author(s)
      H. Nagao, T. Higuchi
    • Organizer
      The 16th International Conference on Information Fusion
    • Place of Presentation
      トルコ・イスタンブール・Askeri Museum
    • Data Source
      KAKENHI-PROJECT-23700278
  • [Presentation] 地震音波データ同化システムの開発

    • Author(s)
      長尾大道, 樋口知之
    • Organizer
      統計関連学会連合大会
    • Place of Presentation
      大阪・大阪大学豊中キャンパス
    • Data Source
      KAKENHI-PROJECT-23700278
  • [Presentation] スパースモデリングによる首都圏における地震動分布推定手法の開発

    • Author(s)
      水迫覚信, 長尾大道, 廣瀬慧, 加納将行, 堀宗朗
    • Organizer
      第34回地震工学研究発表会
    • Place of Presentation
      まちなかキャンパス長岡(新潟県長岡市)
    • Year and Date
      2014-10-09 – 2014-10-10
    • Data Source
      KAKENHI-PROJECT-26280006
  • [Presentation] 粒子フィルタ法を利用した日本沿岸部における潮位の長期変動解析

    • Author(s)
      長尾大道, 樋口知之, 三浦哲, 稲津大祐
    • Organizer
      第1回データ同化ワークショップ
    • Place of Presentation
      気象研究所
    • Data Source
      KAKENHI-PROJECT-23700278
  • [Presentation] スパースモデリングによる首都圏における地震動分布推定手法の開発

    • Author(s)
      水迫覚信, 長尾大道, 廣瀬慧, 加納将行, 堀宗朗
    • Organizer
      第34回地震工学研究発表会
    • Place of Presentation
      まちなかキャンパス長岡(新潟県長岡市)
    • Year and Date
      2014-10-09 – 2014-10-10
    • Data Source
      KAKENHI-PUBLICLY-26120510
  • [Presentation] Foundation of data assimilation and its application to intracellular fluid dynamics

    • Author(s)
      H. Nagao, R. Niwayama, A. Kimura, and T. Higuchi
    • Organizer
      International Workshop on Quantitative Biology
    • Place of Presentation
      東京大学
    • Invited
    • Data Source
      KAKENHI-PROJECT-23700278
  • [Presentation] 大地震に伴う微気圧変動および電離層変動のモデリング

    • Author(s)
      長尾大道, 小林直樹, 深尾良夫, 冨澤一郎, 樋口知之
    • Organizer
      IUGONET研究集会
    • Place of Presentation
      名古屋大学
    • Data Source
      KAKENHI-PROJECT-23700278
  • [Presentation] Time-series modeling to infer properties of fractures/faults within the Earth's crust

    • Author(s)
      H. Nagao, T. Higuchi
    • Organizer
      IASC Satellite Conference for the 59th ISI WSC
    • Place of Presentation
      韓国・ソウル・延世大学
    • Invited
    • Data Source
      KAKENHI-PROJECT-23700278
  • [Presentation] 2008 年岩手・宮城内陸地震に伴う微気圧変動および電離層変動のモデリング

    • Author(s)
      長尾大道, 樋口知之, 小林直樹, 深尾良夫, 冨澤一郎
    • Organizer
      新領域融合研究センター若手研究集会
    • Place of Presentation
      統計数理研究所
    • Data Source
      KAKENHI-PROJECT-23700278
  • [Presentation] 地震によって励起された電離層変動のモデリング

    • Author(s)
      長尾大道, 小林直樹, 深尾良夫, 冨澤一郎, 樋口知之
    • Organizer
      第61回理論応用力学講演会
    • Place of Presentation
      東京大学駒場キャンパス
    • Data Source
      KAKENHI-PROJECT-23700278
  • [Presentation] 高空間分解能地震動分布を推定するためのアルゴリズム開発

    • Author(s)
      長尾大道, 水迫覚信, 加納将行, 堀宗朗, 廣瀬慧
    • Organizer
      第63回理論応用力学講演会
    • Place of Presentation
      東京工業大学大岡山キャンパス(東京都目黒区)
    • Year and Date
      2014-09-26 – 2014-09-28
    • Data Source
      KAKENHI-PUBLICLY-26120510
  • [Presentation] Imaging ground motions in the Tokyo metropolitan area based on MeSO-net using lasso

    • Author(s)
      Mizusako, S., H. Nagao, M. Kano, K. Hirose, and M. Hori
    • Organizer
      American Geophysical Union Fall Meeting
    • Place of Presentation
      Moscone Center(米国・サンフランシスコ)
    • Year and Date
      2014-12-15 – 2014-12-19
    • Data Source
      KAKENHI-PUBLICLY-26120510
  • [Presentation] クラウドコンピューティングを利用したデータ同化システムの開発 (序)

    • Author(s)
      長尾大道, 樋口知之
    • Organizer
      2011年度統計関連学会連合大会
    • Place of Presentation
      九州大学伊都キャンパス
    • Data Source
      KAKENHI-PROJECT-23700278
  • [Presentation] 大地震によって励起される地震音波の伝搬特性

    • Author(s)
      長尾大道, 小林直樹, 深尾良夫, 樋口知之, 石原靖, 坪井誠司
    • Organizer
      電離圏・磁気圏モデリングとデータ同化研究集会
    • Place of Presentation
      名古屋大学
    • Data Source
      KAKENHI-PROJECT-23700278
  • [Presentation] What is required for data assimilation that is applicable to big data in the solid Earth science?

    • Author(s)
      Nagao, H.
    • Organizer
      17th International Conference on Information Fusion
    • Place of Presentation
      Palacio de Congresos(スペイン・サラマンカ)
    • Year and Date
      2014-07-07 – 2014-07-10
    • Data Source
      KAKENHI-PUBLICLY-26120510
  • [Presentation] データ同化ライブラリの開発

    • Author(s)
      長尾大道, 斎藤正也, 中野慎也, 樋口知之
    • Organizer
      ナノ・ライフ合同シンポ
    • Place of Presentation
      神戸
    • Data Source
      KAKENHI-PROJECT-23700278
  • [Presentation] 地震波・地震音波データ同化による2008年岩手・宮城内陸地震の断層パラメータ推定

    • Author(s)
      長尾大道, 中野慎也, 樋口知之
    • Organizer
      日本地球惑星科学連合2011年
    • Place of Presentation
      幕張メッセ
    • Data Source
      KAKENHI-PROJECT-23700278
  • [Presentation] Particle filter algorithm to analyze long-term tide gauge records for monitoring the Earth's crustal activities

    • Author(s)
      H. Nagao, T. Higuchi, S. Miura, and D. Inazu
    • Organizer
      ISCS & ISIS 2012, Satellite Event
    • Place of Presentation
      神戸
    • Invited
    • Data Source
      KAKENHI-PROJECT-23700278
  • [Presentation] クラウドコンピューティングシステムを利用した地球物理データの多変量時系列解析

    • Author(s)
      長尾大道, 樋口知之
    • Organizer
      日本地球惑星科学連合2013年大会
    • Place of Presentation
      千葉・幕張メッセ
    • Data Source
      KAKENHI-PROJECT-23700278
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