Updated on 2025/03/13

写真a

 
IIDA Yusuke
 
Organization
Academic Assembly Institute of Science and Technology JOUHOU DENSHI KOUGAKU KEIRETU Associate Professor
Faculty of Engineering Department of Engineering Associate Professor
Title
Associate Professor
Contact information
メールアドレス
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Degree

  • 博士(理学) ( 2012.7 )

  • 修士(理学) ( 2009.3 )

Research Interests

  • Astronomy

  • Solar Physics

  • Image Processing

  • Machine Learning

  • Space Weather

  • Data Science

Research Areas

  • Natural Science / Astronomy

  • Informatics / Statistical science

  • Natural Science / Space and planetary sciences

Research History (researchmap)

  • Niigata University   Graduate School of Science and Technology, Course Electrical and Information Engineering   Associate Professor

    2019.10

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  • Daido University

    2019

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    Notes:力学I

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  • Kwansei Gakuin University   School of Science and Technology Department of Physics

    2016.4 - 2019.10

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  • Kanagawa University   Faculty of Engineering

    2015 - 2016

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    Country:Japan

    Notes:宇宙科学I,宇宙科学II

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  • Sojo University   Faculty of Engineering, Department of Aerospace Systems Engineering

    2013.4 - 2016.3

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  • 日本学術振興会   日本学術振興会特別研究員

    2012.8 - 2013.3

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Research History

  • Niigata University   Faculty of Engineering Department of Engineering   Associate Professor

    2019.10

Education

  • The University of Tokyo   Graduate School, Division of Science   Department of Earth and Planetary Science

    2007.4 - 2012.7

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    Country: Japan

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  • The University of Tokyo   Faculty of Science   Earth and Planetary Physics

    2005.4 - 2007.3

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    Country: Japan

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  • The University of Tokyo   College of Arts and Sciences   理科I類

    2003.4 - 2005.5

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Professional Memberships

  • The Japanese Society for Artificial Intelligence

    2023

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  • IAU

    2020

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  • The Institute of Electronics, Information and Communication Engineers

    2019

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  • Institute of Electrical and Electronics Engineers

    2019

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  • Astronomical Society of Japan

    2006

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  • Japan Geoscience Union

    2005

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Committee Memberships

  • IEEE Shin-etsu Section   Secretary  

    2025.1   

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    Committee type:Academic society

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  •   SIG-GeoSciAI  

    2024.6   

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    Committee type:Academic society

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  • 日本地球惑星科学連合   GeoSciAIタスクフォース  

    2024.6   

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    Committee type:Academic society

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  • 日本地球惑星科学連合   人工知能学会コンペティションワーキンググループ  

    2023.6 - 2024.6   

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    Committee type:Academic society

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  • 燕市   燕市DX推進ラボアドバイザー  

    2023.4 - 2024.3   

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    Committee type:Municipal

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  • 日本地球惑星科学連合   セクションサイエンスボード(宇宙惑星)  

    2022.6   

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    Committee type:Academic society

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  • Japan Geoscience Union   Representative  

    2022.4   

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    Committee type:Academic society

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  • The Institute of Electronics, Information and Communication Engineers   Financial secretary of Shinetsu-branch  

    2021.4 - 2023.3   

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  • 日本地球惑星科学連合   オンライン開催検討小委員会  

    2020.8   

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    Committee type:Academic society

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  • Japan Geoscience Union   Meeting Organizing Committee  

    2018   

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    Committee type:Academic society

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  • 日本地球惑星科学連合   パブリックセッション小委員会  

    2017.10   

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    Committee type:Academic society

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  • 日本地球惑星科学連合   広報普及委員会  

    2016.10   

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  • Space Science Commitee   Member  

    2016   

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    Committee type:Other

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  • Japan Geoscience Union   Representative  

    2013.4 - 2015.3   

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    Committee type:Academic society

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Papers

  • Compression method for solar polarization spectra collected from Hinode SOT/SP observations Reviewed

    J. Batmunkh, Y. Iida, T. Oba, H. Iijima

    Astronomy and Computing   51   100929 - 100929   2025.4

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    Publishing type:Research paper (scientific journal)   Publisher:Elsevier BV  

    DOI: 10.1016/j.ascom.2025.100929

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  • Autoencoder-Based Detection of Anomalous Stokes V Spectra in the Flare-Producing Active Region 13663 Using Hinode/SP Observations Reviewed

    BATMUNKH Jargalmaa, IIDA Yusuke, OBA Takayoshi

    Journal of Space Science Informatics Japan   15   2025

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    Language:English  

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  • Method for optical adjustment with deep learning to quantitatively predict misalignment in optics Reviewed

    Ryo Hashimoto, Shuji Matsuura, Yusuke Iida

    Applied Optics   63 ( 25 )   6794 - 6794   2024.8

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    Publishing type:Research paper (scientific journal)   Publisher:Optica Publishing Group  

    We developed a method for optical adjustment using a deep learning model to quantitatively predict misalignment of optical components. The proposed model predicts the misalignment parameters using only through-focus images of a point source, while conventional methods require specialized measurements or extensive manual analysis. There is no need for special preparation for measurements, and quantitative prediction will reduce the cost of optical adjustment. A distinctive aspect of our method is that the training dataset is not obtained through measurements but generated using ray-tracing simulation, which produces through-focus images with various type of aberrations. By applying the method to a simple parabolic mirror and a reflecting telescope, we demonstrated its prediction accuracy. The through-focus images obtained from simulated optics, according to the predicted misalignment parameters, matched the measured images. We adjusted two optics and confirmed that the measured images after adjustment were in good agreement with the simulation images of the designed optics.

    DOI: 10.1364/ao.532265

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  • Discrimination of male-sterility and male-fertility in Japanese cedar (Cryptomeria japonica) using near-infrared diffuse transmission spectroscopy Reviewed

    Yu Obata, Yoshito Saito, Riku Miyakawa, Takumi Murai, Kotaro Nakane, Yusuke Iida, Yoshinari Moriguchi

    Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy   315   124243 - 124243   2024.7

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    Publishing type:Research paper (scientific journal)   Publisher:Elsevier BV  

    DOI: 10.1016/j.saa.2024.124243

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  • Analysis of Correlation between Electron Diffraction Images of Corneocytes and Skin Barrier Properties by Multilayer Perceptron and Convolutional Neural Network Reviewed

    Yoshifumi Takahashi, Yusuke Iida, Hiromitsu Nakazawa

    Sensors and Materials   36 ( 6 )   2557 - 2557   2024.6

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    Publishing type:Research paper (scientific journal)   Publisher:MYU K.K.  

    DOI: 10.18494/sam5013

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  • Numerical estimation method for misalignment of optical systems using machine learning Reviewed

    Ryo Hashimoto, Shuji Matsuura, Yusuke Iida

    Optical Design and Testing XIII   10698   74 - 74   2023.11

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    Publishing type:Research paper (international conference proceedings)   Publisher:SPIE  

    DOI: 10.1117/12.2688930

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  • 深層学習を用いた太陽フィラメント自動検出手法の開発

    佐藤智哉, 飯田佑輔, 安藤秀一, 佐々木明良

    人工知能学会全国大会論文集   37   2023.7

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    Publishing type:Research paper (conference, symposium, etc.)  

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  • 関数同定アルゴリズムAI-Feynmanの流体方程式への適用

    森永貴藤, 飯田佑輔, 加納龍一

    人工知能学会全国大会論文集   37   2023.7

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    Publishing type:Research paper (conference, symposium, etc.)  

    DOI: 10.11517/pjsai.JSAI2023.0_4Xin121

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  • A compression method of solar polarization data with autoencoder

    Jargalmaa Batmunkh, Yusuke Iida, Takayoshi Oba, Haruhisa Iijima

    Proceeding of the Annual Conderence of JSAI   37   2023.7

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    Publishing type:Research paper (conference, symposium, etc.)  

    DOI: 10.11517/pjsai.JSAI2023.0_3Xin424

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  • Relationship between magnetic field properties and statistical flow using numerical simulation and magnetic feature tracking on solar photosphere Reviewed

    K Takahata, H Hotta, Y Iida, T Oba

    Monthly Notices of the Royal Astronomical Society   503 ( 3 )   3610 - 3616   2021.4

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    Publishing type:Research paper (scientific journal)   Publisher:Oxford University Press (OUP)  

    <title>ABSTRACT</title>
    We perform radiative magnetohydrodynamic calculations for the solar-quiet region to investigate the dependence of statistical flow on magnetic properties and the three-dimensional structure of magnetic patches in the presence of large-scale flow that mimics differential rotation. It has been confirmed that strong magnetic field patches move faster in the longitudinal direction at the solar surface. Consequently, strong magnetic patches penetrate deeper into the solar interior. The motion of the deep-rooted magnetic patches is influenced by the faster differential rotation in the deeper layer. In this study, we perform realistic radiative magnetohydrodynamic calculations using r2d2 code to validate that stronger patches have deeper roots. We also add large-scale flow to mimic the differential rotation. The magnetic patches are automatically detected and tracked, and we evaluate the depth of 30 000 magnetic patches. The velocities of 2.9 million magnetic patches are then measured at the photosphere. We obtain the dependence of these values on the magnetic properties, such as field strength and flux. Our results confirm that strong magnetic patches tend to show deeper roots and faster movement, and we compare our results with observations using the point spread function of instruments at the Hinode and Solar Dynamics Observatory (SDO). Our result is quantitatively consistent with previous observational results of the SDO.

    DOI: 10.1093/mnras/stab710

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    Other Link: http://academic.oup.com/mnras/article-pdf/503/3/3610/36855183/stab710.pdf

  • Average Radial Structures of Gas Convection in the Solar Granulation Reviewed

    T. Oba, Y. Iida, T. Shimizu

    The Astrophysical Journal   890 ( 2 )   141 - 141   2020.2

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    Publishing type:Research paper (scientific journal)   Publisher:American Astronomical Society  

    DOI: 10.3847/1538-4357/ab6a90

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    Other Link: https://iopscience.iop.org/article/10.3847/1538-4357/ab6a90

  • Analytical Solution of the Hanle Effect in View of CLASP and Future Polarimetric Solar Studies Reviewed

    Motoshi Goto, Ryohko Ishikawa, Yusuke Iida, Saku Tsuneta

    Atoms   7 ( 2 )   55 - 55   2019.6

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    Publishing type:Research paper (scientific journal)   Publisher:{MDPI} {AG}  

    DOI: 10.3390/atoms7020055

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  • Statistical Relation between Solar Flares and Coronal Mass Ejections with Respect to Sigmoidal Structures in Active Regions Reviewed

    Yusuke Kawabata, Yusuke Iida, Takafumi Doi, Sachiko Akiyama, Seiji Yashiro, Toshifumi Shimizu

    The Astrophysical Journal   869 ( 2 )   99 - 99   2018.12

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    Publishing type:Research paper (scientific journal)   Publisher:American Astronomical Society  

    DOI: 10.3847/1538-4357/aaebfc

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    Other Link: http://stacks.iop.org/0004-637X/869/i=2/a=99?key=crossref.00e9647cb345c28f6a46ce2b8d141e68

  • Influence of the Atmospheric Model on Hanle Diagnostics Reviewed

    Ryohko Ishikawa, Han Uitenbroek, Motoshi Goto, Yusuke Iida, Saku Tsuneta

    Solar Physics   293 ( 5 )   2018.5

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Springer Netherlands  

    We clarify the uncertainty in the inferred magnetic field vector via the Hanle diagnostics of the hydrogen Lyman-α line when the stratification of the underlying atmosphere is unknown. We calculate the anisotropy of the radiation field with plane-parallel semi-empirical models under the nonlocal thermal equilibrium condition and derive linear polarization signals for all possible parameters of magnetic field vectors based on an analytical solution of the atomic polarization and Hanle effect. We find that the semi-empirical models of the inter-network region (FAL-A) and network region (FAL-F) show similar degrees of anisotropy in the radiation field, and this similarity results in an acceptable inversion error (e.g., ∼40G instead of 50 G in field strength and ∼100∘ instead of 90 ∘ in inclination) when FAL-A and FAL-F are swapped. However, the semi-empirical models of FAL-C (averaged quiet-Sun model including both inter-network and network regions) and FAL-P (plage regions) yield an atomic polarization that deviates from all other models, which makes it difficult to precisely determine the magnetic field vector if the correct atmospheric model is not known (e.g., the inversion error is much larger than 40% of the field strength
    &gt
    70G instead of 50G). These results clearly demonstrate that the choice of model atmosphere is important for Hanle diagnostics. As is well known, one way to constrain the average atmospheric stratification is to measure the center-to-limb variation of the linear polarization signals. The dependence of the center-to-limb variations on the atmospheric model is also presented in this paper.

    DOI: 10.1007/s11207-018-1293-6

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  • The Small-scale Structure of Photospheric Convection Retrieved by a Deconvolution Technique Applied to Hinode/SP Data Reviewed

    T. Oba, T. L. Riethmüller, S. K. Solanki, Y. Iida, C. Quintero Noda, T. Shimizu

    The Astrophysical Journal   849 ( 1 )   7 - 7   2017.11

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    DOI: 10.3847/1538-4357/aa8e44

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  • Height-dependent Velocity Structure of Photospheric Convection in Granules and Intergranular Lanes with Hinode/SOT Reviewed

    Yusuke Iida

    The Astrophysical Journal   2017.2

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

    DOI: 10.3847/1538-4357/836/1/40

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  • Tracking of magnetic flux concentrations over a five-day observation, and an insight into surface magnetic flux transport Reviewed

    Yusuke Iida

    Space Weather and Space Climate   6   2016.6

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:EDP Sciences  

    The solar dynamo problem is the question of how the cyclic variation in the solar magnetic field is maintained. One of the important processes is the transport of magnetic flux by surface convection. To reveal this process, the dependence of the squared displacement of magnetic flux concentrations on the elapsed time is investigated in this paper via a feature-recognition technique and a continual five-day magnetogram. This represents the longest time scale over which a satellite observation has ever been performed for this problem. The dependence is found to follow a power law and differ significantly from that of diffusion transport. Furthermore, there is a change in the behavior at a spatial scale of 103.8 km. A super-diffusion behavior with an index of 1.4 is found at smaller scales, while changing to a sub-diffusion behavior with an index of 0.6 on larger ones. We interpret this difference in the transport regime as coming from the network-flow pattern.

    DOI: 10.1051/swsc/2016022

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  • DETECTION OF FLUX EMERGENCE, SPLITTING, MERGING, AND CANCELLATION OF NETWORK FIELDS. II. APPARENT UNIPOLAR FLUX CHANGE AND CANCELLATION Reviewed

    Y. Iida, H. J. Hagenaar, T. Yokoyama

    The Astrophysical Journal   814 ( 2 )   134 - 134   2015.11

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:{IOP} Publishing  

    In this second paper in the series, we investigate occurrence frequencies of apparent unipolar processes, cancellation, and emergence of patch structures in quiet regions. Apparent unipolar events are considerably more frequent than cancellation and emergence, per our definition, which is consistent with Lamb et al. Furthermore, we investigate the frequency distributions of changes in flux during apparent unipolar processes and find that they concentrate around the detection limit of the analysis. Combining these findings with the results of our previous paper, Iida et al., which found that merging and splitting are more dominant than emergence and cancellation, these results support the understanding that apparent unipolar processes are actually interactions with and among patches below the detection limit and that there still are numerous flux interactions between the flux range in this analysis and below the detection limit. We also investigate occurrence frequency distributions of flux decrease during cancellation. We found a relatively strong dependence, 2.48 +/- 0.26 as a power-law index. This strong dependence on flux is consistent with the model, which was suggested in the previous paper.

    DOI: 10.1088/0004-637X/814/2/134

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  • PHOTOSPHERIC FLOW FIELD RELATED TO THE EVOLUTION OF THE SUN'S POLAR MAGNETIC PATCHES OBSERVED BY HINODE SOLAR OPTICAL TELESCOPE International journal

    Yusuke Iida

    The Astrophysical Journal   2015.1

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    Publishing type:Research paper (scientific journal)  

    DOI: 10.1088/0004-637X/799/2/139

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  • Comparison between Hinode/SOT and SDO/HMI, AIA Data for the Study of the Solar Flare Trigger Process Reviewed

    Yumi Bamba, Kanya Kusano, Shinsuke Imada, Yusuke Iida

    PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF JAPAN   66 ( SP1 )   S169   2014.7

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:OXFORD UNIV PRESS  

    To elucidate the flare trigger mechanism, we have analyzed several flare
    events which were observed by Hinode/Solar Optical Telescope (SOT), in our
    previous study. Because of the limitation of SOT field of view, however, only
    four events in the Hinode data sets have been utilizable. Therefore, increasing
    the number of events is required for evaluating the flare trigger models. We
    investigated the applicability of data obtained by the Solar Dynamics
    Observatory (SDO) to increase the data sample for a statistical analysis of the
    flare trigger process. SDO regularly observes the full disk of the sun and all
    flares although its spatial resolution is lower than that of Hinode. We
    investigated the M6.6 flare which occurred on 13 February 2011 and compared the
    analyzed data of SDO with the results of our previous study using Hinode/SOT
    data. Filter and vector magnetograms obtained by the Helioseismic and Magnetic
    Imager (HMI) and filtergrams from the Atmospheric Imaging Assembly (AIA) 1600A
    were employed. From the comparison of small-scale magnetic configurations and
    chromospheric emission prior to the flare onset, we confirmed that the trigger
    region is detectable with the SDO data. We also measured the magnetic shear
    angles of the active region and the azimuth and strength of the flare-trigger
    field. The results were consistent with our previous study. We concluded that
    statistical studies of the flare trigger process are feasible with SDO as well
    as Hinode data. We also investigated the temporal evolution of the magnetic
    field before the flare onset with SDO.

    DOI: 10.1093/pasj/psu091

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    arXiv

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    Other Link: http://arxiv.org/pdf/1407.1887v1

  • Formation of a Flare-Productive Active Region: Observation and Numerical Simulation of NOAA AR 11158

    Shin Toriumi, Yusuke Iida, Yumi Bamba, Kanya Kusano, Shinsuke Imada, Satoshi Inoue

    SOLAR PHYSICS   289 ( 9 )   3351 - 3369   2014.3

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:SPRINGER  

    We present a comparison of the Solar Dynamics Observatory (SDO) analysis of NOAA Active Region (AR) 11158 and numerical simulations of flux-tube emergence, aiming to investigate the formation process of this flare-productive AR. First, we use SDO/Helioseismic and Magnetic Imager (HMI) magnetograms to investigate the photospheric evolution and Atmospheric Imaging Assembly (AIA) data to analyze the relevant coronal structures. Key features of this quadrupolar region are a long sheared polarity inversion line (PIL) in the central delta-sunspots and a coronal arcade above the PIL. We find that these features are responsible for the production of intense flares, including an X2.2-class event. Based on the observations, we then propose two possible models for the creation of AR 11158 and conduct flux-emergence simulations of the two cases to reproduce this AR. Case 1 is the emergence of a single flux tube, which is split into two in the convection zone and emerges at two locations, while Case 2 is the emergence of two isolated but neighboring tubes. We find that, in Case 1, a sheared PIL and a coronal arcade are created in the middle of the region, which agrees with the AR 11158 observation. However, Case 2 never builds a clear PIL, which deviates from the observation. Therefore, we conclude that the flare-productive AR 11158 is, between the two cases, more likely to be created from a single split emerging flux than from two independent flux bundles.

    DOI: 10.1007/s11207-014-0502-1

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  • Magnetic Systems Triggering the M6.6-class Solar Flare in NOAA Active Region 11158 Reviewed

    Shin Toriumi, Yusuke Iida, Yumi Bamba, Kanya Kusano, Shinsuke Imada, Satoshi Inoue

    ASTROPHYSICAL JOURNAL   773 ( 2 )   2013.6

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:IOP PUBLISHING LTD  

    We report a detailed event analysis on the M6.6-class flare in the active
    region (AR) NOAA 11158 on 2011 February 13. AR 11158, which consisted of two
    major emerging bipoles, showed prominent activities including one X- and
    several M-class flares. In order to investigate the magnetic structures related
    to the M6.6 event, particularly the formation process of a flare-triggering
    magnetic region, we analyzed multiple spacecraft observations and numerical
    results of a flare simulation. We observed that, in the center of this
    quadrupolar AR, a highly sheared polarity inversion line (PIL) was formed
    through proper motions of the major magnetic elements, which built a sheared
    coronal arcade lying over the PIL. The observations lend support to the
    interpretation that the target flare was triggered by a localized magnetic
    region that had an intrusive structure, namely a positive polarity penetrating
    into a negative counterpart. The geometrical relationship between the sheared
    coronal arcade and the triggering region was consistent with the theoretical
    flare model based on the previous numerical study. We found that the formation
    of the trigger region was due to a continuous accumulation of the small-scale
    magnetic patches. A few hours before the flare occurrence, the series of
    emerged/advected patches reconnected with a preexisting fields. Finally, the
    abrupt flare eruption of the M6.6 event started around 17:30 UT. Our analysis
    suggests that, in a triggering process of a flare activity, all magnetic
    systems of multiple scales, not only the entire AR evolution but also the fine
    magnetic elements, are altogether involved.

    DOI: 10.1088/0004-637X/773/2/128

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    arXiv

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    Other Link: http://arxiv.org/pdf/1306.2451v1

  • MAGNETIC FIELD STRUCTURES TRIGGERING SOLAR FLARES AND CORONAL MASS EJECTIONS Reviewed

    K. Kusano, Y. Bamba, T. T. Yamamoto, Y. Iida, S. Toriumi, A. Asai

    ASTROPHYSICAL JOURNAL   760 ( 1 )   id.31   2012.11

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:IOP PUBLISHING LTD  

    Solar flares and coronal mass ejections, the most catastrophic eruptions in our solar system, have been known to affect terrestrial environments and infrastructure. However, because their triggering mechanism is still not sufficiently understood, our capacity to predict the occurrence of solar eruptions and to forecast space weather is substantially hindered. Even though various models have been proposed to determine the onset of solar eruptions, the types of magnetic structures capable of triggering these eruptions are still unclear. In this study, we solved this problem by systematically surveying the nonlinear dynamics caused by a wide variety of magnetic structures in terms of three-dimensional magnetohydrodynamic simulations. As a result, we determined that two different types of small magnetic structures favor the onset of solar eruptions. These structures, which should appear near the magnetic polarity inversion line (PIL), include magnetic fluxes reversed to the potential component or the nonpotential component of major field on the PIL. In addition, we analyzed two large flares, the X-class flare on 2006 December 13 and the M-class flare on 2011 February 13, using imaging data provided by the Hinode satellite, and we demonstrated that they conform to the simulation predictions. These results suggest that forecasting of solar eruptions is possible with sophisticated observation of a solar magnetic field, although the lead time must be limited by the timescale of changes in the small magnetic structures.

    DOI: 10.1088/0004-637X/760/1/31

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  • Surface Magnetic Flux Maintenance In Quiet Sun Reviewed

    Yusuke Iida

    2012.7

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    Language:English   Publishing type:Doctoral thesis  

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  • DETECTION OF FLUX EMERGENCE, SPLITTING, MERGING, AND CANCELLATION OF NETWORK FIELD. I. SPLITTING AND MERGING International journal

    Yusuke Iida

    The Astrophysical Journal   752 ( 2 )   2012.6

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:IOP PUBLISHING LTD  

    Frequencies of magnetic patch processes on the supergranule boundary, namely, flux emergence, splitting, merging, and cancellation, are investigated through automatic detection. We use a set of line-of-sight magnetograms taken by the Solar Optical Telescope (SOT) on board the Hinode satellite. We found 1636 positive patches and 1637 negative patches in the data set, whose time duration is 3.5 hr and field of view is 112 '' x 112 ''. The total numbers of magnetic processes are as follows: 493 positive and 482 negative splittings, 536 positive and 535 negative mergings, 86 cancellations, and 3 emergences. The total numbers of emergence and cancellation are significantly smaller than those of splitting and merging. Further, the frequency dependence of the merging and splitting processes on the flux content are investigated. Merging has a weak dependence on the flux content with a power-law index of only 0.28. The timescale for splitting is found to be independent of the parent flux content before splitting, which corresponds to similar to 33 minutes. It is also found that patches split into any flux contents with the same probability. This splitting has a power-law distribution of the flux content with an index of -2 as a time-independent solution. These results support that the frequency distribution of the flux content in the analyzed flux range is rapidly maintained by merging and splitting, namely, surface processes. We suggest a model for frequency distributions of cancellation and emergence based on this idea.

    DOI: 10.1088/0004-637X/752/2/149

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  • ESTIMATION OF TURBULENT DIFFUSIVITY WITH DIRECT NUMERICAL SIMULATION OF STELLAR CONVECTION

    Yusuke Iida

    Astrophysical Journal Letter   2012.5

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1088/2041-8205/751/1/L9

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  • Numerical calculation of convection with reduced speed of sound technique (Research Note) Reviewed

    H. Hotta, M. Rempel, T. Yokoyama, Y. Iida, Y. Fan

    ASTRONOMY & ASTROPHYSICS   539   A30   2012.3

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:EDP SCIENCES S A  

    Context. The anelastic approximation is often adopted in numerical calculations with low Mach numbers, such as those including stellar internal convection. This approximation requires so-called frequent global communication, because of an elliptic partial differential equation. Frequent global communication is, however, negative factor for the parallel computing performed with a large number of CPUs.
    Aims. We test the validity of a method that artificially reduces the speed of sound for the compressible fluid equations in the context of stellar internal convection. This reduction in the speed of sound leads to longer time steps despite the low Mach number, while the numerical scheme remains fully explicit and the mathematical system is hyperbolic, thus does not require frequent global communication.
    Methods. Two- and three-dimensional compressible hydrodynamic equations are solved numerically. Some statistical quantities of solutions computed with different effective Mach numbers (owing to the reduction in the speed of sound) are compared to test the validity of our approach.
    Results. Numerical simulations with artificially reduced speed of sound are a valid approach as long as the effective Mach number (based on the lower speed of sound) remains less than 0.7.

    DOI: 10.1051/0004-6361/201118268

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  • Statistical Analysis of Doppler Velocity Field and Magnetic Structure around Cancellations in the Quiet Sun Reviewed

    Y. Iida, T. Yokoyama, K. Ichimoto

    HINODE-3: THE 3RD HINODE SCIENCE MEETING   454   43 - 46   2012

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    The cancellation is a convergence and a disappearance of the two opposite polarities and is thought as a main process of the flux disappearance in the photosphere. We investigate the spatial structures and time evolutions of Doppler velocity field around the cancellations in the quiet Sun by using Filtergram (FG) onboard Hiltode. We found the characteristic redshifts in 7 cancellations, blue shifts in 2 cancellations, and no characteristic Doppler velocity in 3 events. It is found that the stable downflow is coincident with the flux decrease. These results suggest that the Omega-loop submergence is a dominant scenario in the cancellation of the quiet Sun.

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  • Detection of Flux Emergence, Splitting, Merging, and Cancellation in the Quiet Sun Reviewed

    Y. Iida, H. Hagenaar, T. Yokoyama

    4TH HINODE SCIENCE MEETING: UNSOLVED PROBLEMS AND RECENT INSIGHTS   455   169 - +   2012

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    We investigate the frequency of magnetic activities, namely flux emergence, splitting, merging, and cancellation, through an automatic detection in order to understand the generation of the power-law distribution of magnetic flux reported by Parnell et al. (2009). Quiet Sun magnetograms observed in the Na I 5896 angstrom line by the Hinode Solar Optical Telescope are used in this study. The longitudinal fluxes of the investigated patches range from approximate to 10(17) Mx to approximate to 10(19) Mx. Emergence and cancellation are much less frequent than merging and splitting. The time scale for splitting is found to be approximate to 33 minutes and independent of the flux contained in the splitting patch. Moreover magnetic patches split into any flux contents with equal probability. It is shown that such a fragmentation process leads to a distribution with a power-law index -2. Merging has a very weak dependence on flux content, with a power-law index of only -0.33. These results suggest that (1) magnetic patches are fragmented by splitting, merging, and tiny cancellation; and (2) flux is removed from the photosphere through tiny cancellations after these fragmentations.

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  • VECTOR MAGNETIC FIELDS AND DOPPLER VELOCITY STRUCTURES AROUND A CANCELLATION SITE IN THE QUIET SUN Reviewed International journal

    Y. Iida, T. Yokoyama, K. Ichimoto

    The Astrophysical Journal   713 ( 1 )   325 - 329   2010.3

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    A cancellation is thought to be a basic process of the photospheric magnetic field and plays an important role in magnetic flux budget and in various solar activities. There are two major theoretical scenarios for this phenomena, the "U-loop emergence" and the "Omega-loop submergence" models. It is important to clarify which is the dominant process during the cancellation for the estimation of the solar magnetic flux transport through the surface. We study the vector magnetic field and velocity structures around a quiet-Sun cancellation by using the Solar Optical Telescope on board the Hinode satellite. Transverse magnetic field connecting the canceling magnetic features and strong long-lasting Doppler redshift signal are found. The transverse field is observed in the first spectropolarimetric observation after the occurrence of the cancellation while the redshift is clearly delayed to the cancellation by 20 minutes. These results indicate that the observed cancellation is an "Omega-loop submergence."

    DOI: 10.1088/0004-637X/713/1/325

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Books

MISC

  • 深層学習を用いたキルギス・天山山脈における氷河湖マッピング

    山田 奈穂, 奈良間 千之, 飯田 佑輔, M. Daiyrov

    2024.3

  • 高感度太陽紫外線分光観測衛星Solar-C(EUVST)の最新状況

    清水敏文, 今田晋亮, 原弘久, 末松芳法, 都築俊宏, 勝川行雄, 久保雅仁, 石川遼子, 渡邊鉄哉, 川手朋子, 川手朋子, 鳥海森, 鄭祥子, 松崎恵一, 横山央明, 一本潔, 永田伸一, 浅井歩, 草野完也, 渡邉恭子, 飯田佑輔

    日本天文学会年会講演予稿集   2021   2021

  • Rotating Mechanism for Space Telescopes: Long Lifetime Performance in Vacuum Environment Reviewed

    清水敏文, 渡邉恭子, 川畑佑典, 大場崇義, 飯田佑輔, LEE Kyoung-Sun, 加納龍一, 石川真之介, 土井崇史, 長谷川隆祥, NODA Carlos Quintero

    宇宙航空研究開発機構研究開発報告 JAXA-RR-(Web)   18 ( 18-003 )   2018.10

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    Language:Japanese  

    J-GLOBAL

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  • Impact of Hinode Observation on Our Understanding of Solar Surface Magneto-Convection

    109 ( 9 )   632 - 636   2016.9

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    Language:Japanese   Publishing type:Article, review, commentary, editorial, etc. (scientific journal)  

    CiNii Article

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  • SOLAR-C 活動状況 出張報告

    飯田佑輔

    1 - 1   2015.4

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    Publishing type:Meeting report  

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  • High Accuracy Measurements of the Outgassing Properties of a Rotating Mechanism for the Space Telescope Reviewed

    渡邉恭子, 渡邉恭子, 清水敏文, 飯田佑輔, LEE Kyoung-Sun, 大場崇義

    宇宙航空研究開発機構研究開発報告 JAXA-RR-   ( 14-008 )   2015

  • Development of Linear Motion Mechanism for High-Precision Space Telescopes: Performance Assessment with a Large Number of Operations in Vacuum Environments

    大場崇義, 西塚直人, 西塚直人, 渡邉恭子, 渡邉恭子, LEE Kyoung-Sun, 飯田佑輔, 田島崇男, 中山聡, 清水敏文

    宇宙航空研究開発機構研究開発報告 JAXA-RR-   ( 14-006 )   2015

  • 宇宙望遠鏡用に開発された回転駆動機構からのアウトガス:1.5年にわたる実測結果

    川畑佑典, 渡邉恭子, 飯田佑輔, LEE Kyoung-Sun, 大場崇義, 加納龍一, 石川真之介, 清水敏文

    宇宙科学技術連合講演会講演集(CD-ROM)   59th   2015

  • 26pEA-2 Trigger Mechanism and Predictability of Solar Flares

    Kusano Kanya, Bamba Yumi, Yamamoto Tetsuya, Iida Yusuke, Toriumi Shin, Asai Ayumi

    Meeting abstracts of the Physical Society of Japan   68 ( 1 )   263 - 263   2013.3

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  • 太陽静穏領域における磁束量頻度分布の維持機構 ̶-磁極素過程の頻度分布から迫る̶

    飯田 佑輔

    天文月報   2013.1

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  • 次期太陽観測衛星Solar-C搭載用機器のアウトガス性能とその測定

    渡邉恭子, 清水敏文, 飯田佑輔, 今田晋亮, 原弘久, 坂東貴政

    宇宙科学技術連合講演会講演集(CD-ROM)   57th   2013

  • 27pSA-13 The analysis of magnetic and velocity structures at the cancellation sites

    Iida Y., Yokoyama T., Ichimoto K.

    Meeting abstracts of the Physical Society of Japan   64 ( 1 )   201 - 201   2009.3

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  • [研究活動]ドームレス太陽望遠鏡(DST)共同利用: 光球磁場キャンセレーション領域における磁場・速度構造の変化観測

    飯田 佑輔, 横山 央明

    京都大学大学院理学研究科附属天文台年次報告   2007   13 - 14   2008.11

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    Language:Japanese   Publisher:京都大学大学院理学研究科附属天文台  

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Presentations

  • 遺跡出土砥石の粒度推定を目指したサンドペーパーの粒度推定方法の開発

    益戸幸哉,飯田佑輔,森貴教,早坂圭司

    電子情報通信学会総合大会  2025.3 

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    Venue:東京都市大学  

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  • 粗視化解析によるヒト培養口腔粘膜上皮細胞シートの新たな非侵襲的品質評価法の開発

    三沼蓮,Witsanu Yortchan,相澤有香,小林亮太,泉健次,飯田佑輔,山﨑達也

    第24回日本再生医療学会総会  2025.3 

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    Venue:パシフィコ横浜  

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  • 機械学習を用いた香粧品データの解析 Invited

    飯田佑輔

    SPRUC研究会  2025.3 

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    Venue:星薬科大学  

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  • 励起蛍光マトリクスに基づく雄性不稔スギの判別

    小畑悠,村井匠,飯田佑輔,森口喜成,斎藤嘉人

    2025年農業施設学会学生・若手研究発表会  2025.2 

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    Venue:千葉大学  

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  • 蛍光分光法を用いたスギの雄性不稔判別

    小畑悠, 戸張輝希, 飯田佑輔, 森口喜成, 斎藤嘉人

    第82回 農業食料工学会 年次大会  2024.9 

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    Venue:山形大学  

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  • Deep Learning Compression of Solar Polarization Spectra for Solar Flare Prediction

    Jargalmaa Batmunkh, Yusuke Iida, Haruhisa Iijima, Takayoshi Oba

    情報科学技術との融合による太陽圏物理学の新展開  2024.9 

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    Venue:名古屋大学  

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  • AI-Feynmanを用いた微分方程式導出と黒点崩壊への適用

    森永貴藤,飯田佑輔

    情報科学技術との融合による太陽圏物理学の新展開  2024.9 

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    Venue:名古屋大学  

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  • ノイズデータに対する深層学習のふるまい

    飯田佑輔

    情報科学技術との融合による太陽圏物理学の新展開  2024.9 

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    Venue:名古屋大学  

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  • 深層学習を用いた正常リンパ細胞と慢性リンパ性白血病細胞の画像分類

    剛嘉鴻,山﨑達也,飯田佑輔,山田隆

    電子情報通信学会ソサイエティ大会  2024.9 

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    Venue:日本工業大学  

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  • 深層学習による光学系のミスアライメントの数値的予測を用いた光学調整法

    橋本遼,松浦周二,飯田佑輔

    日本天文学会2024年秋季年会  2024.9 

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    Venue:関西学院大学  

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  • 深層学習を用いた表面磁気パターンからの黒点出現予測

    福原亮,飯田佑輔,金子岳史

    電子情報通信学会信越支部大会  2024.9 

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    Venue:新潟大学  

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  • 深層学習による銀河合体シミュレーションの銀河初期相対速度の推定

    丹治太一, 飯田佑輔, 大井渚

    電子情報通信学会信越支部大会  2024.9 

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    Venue:新潟大学  

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  • Automatic Recognition in Hallux Valgus Angle on Digital Photographs with a Deep Convolutional Neural Network

    Yichin Chu, Yusuke Iida, Hirokazu Okada

    電子情報通信学会信越支部大会  2024.9 

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    Venue:新潟大学  

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  • 深層学習を用いた太陽コロナホールの成長予測モデルの開発

    七久保直紀, 飯田佑輔

    電子情報通信学会信越支部大会  2024.9 

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    Venue:新潟大学  

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  • ブラインドデコンボリューションを用いた長期間における太陽観測衛星ひのでSPの光学系劣化診断

    布施 智進,飯田 佑輔,大場 崇義

    電子情報通信学会信越支部大会  2024.9 

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    Venue:新潟大学  

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  • データ圧縮手法を用いた太陽大気現象での深層学習モデリング

    飯田佑輔,Jargalmaa Batmunkh,久保友樹

    MTI研究会  2024.9 

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    Venue:九州工業大学  

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  • Deep Learning Compression of Solar Polarization Spectra from Hinode SOT/SP

    Jargalmaa Batmunkh, Yusuke Iida, Haruhisa Iijima, Takayoshi Oba

    AOGS2024  2024.6 

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    Venue:Pyeongchang, South Korea  

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  • Automatic detection of Sigmoidal structures in solar X-ray images using Machine Learning models

    Hibiki Iwanaga, Satoshi Nakahira, Yusuke Iida

    JpGU2024  2024.5 

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    Venue:幕張メッセ  

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  • 地球惑星科学の深層学習モデル開発にチャレンジ!

    高橋 幸弘,長尾 大道,中野 満寿男,飯田 佑輔

    JSAI2024  2024.5 

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    Venue:アクトシティ浜松  

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  • A compression method of solar polarization spectra from Hinode SOT/SP for solar flare prediction

    Jargalmaa Batmunkh, Yusuke Iida, Takayoshi Oba, Haruhisa Iijima

    JpGU2024  2024.5 

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    Venue:幕張メッセ  

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  • Forecast of CIR-driven geomagnetic storms using the deep neural networks

    Naoko Takahashi, Naoto Nishizuka, Yusuke Iida, So Fujiya

    JpGU2024  2024.5 

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    Venue:幕張メッセ  

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  • 深層学習を用いたキルギス・天山山脈における氷河湖マッピング

    山田奈穂, 奈良間千之, 飯田佑輔, Mirlan Daiyrov

    JpGU2024  2024.5 

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    Venue:幕張メッセ  

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  • Comparison of simple U-Net model and U-Net models with Attention mechanism in detecting solar coronal hole regions from magnetic field images.

    Kirito Murayama, Yusuke Iida

    JpGU2024  2024.5 

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    Venue:幕張メッセ  

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  • Improvement of solar wind prediction model using segmentation images of coronal holes

    So Fujiya, Yusuke Iida, Naoto Nishizuka, Naoko Takahashi

    JpGU2024  2024.5 

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    Venue:幕張メッセ  

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  • Data smoothing using neural networks for symbolic regression in sunspot decay

    Takafuji Morinaga, Yusuke Iida

    JpGU2024  2024.5 

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    Venue:幕張メッセ  

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  • Solar flare prediction modeling using feature compression with convolutional autoencoder

    Tomoki Kubo, Yusuke Iida, Takuma Tadokoro

    JpGU2024  2024.5 

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    Venue:幕張メッセ  

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  • Spectroscopic analysis of gas compression/expansion and its relation to the reversed granulation

    T. Oba, Mark Cheung, T. Shimizu, Y. Iida

    EclipseSA  2024.4 

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    Venue:Courtyard San Antonio, Texas, USA  

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  • 深層学習を用いたキルギス・天山山脈における氷河湖マッピング

    山田奈穂, 奈良間千之, 飯田佑輔, Mirlan Daiyrov

    日本地理学会年会  2024.3 

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    Venue:青山学院大学  

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  • Effects of allopolyploidization on homoeologous gene expression under cold treatment in synthetic hexaploid wheat

    Y. Obata, Y. Saito, R. Miyakawa, T. Murai, K. Nakane, Y. Iida, Y. Moriguchi

    KAAB international Symposium 2024  2024.3 

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    Venue:Niigata University  

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  • 太陽X線画像におけるシグモイド構造自動検出のための機械学習モデル開発

    岩永響生(大阪公立大), 飯田佑輔(新潟大学)

    日本天文学会2024年春季年会  2024.3 

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    Venue:オンライン  

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  • 物理学の視点からの深層学習の利用 ~角質細胞の電子線回折像からの皮膚物性予測~ Invited

    飯田佑輔

    第41回コロイド界面技術シンポジウム  2024.1 

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    Venue:同志社東京オフィス  

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  • 近赤外分光法を用いたスギの雄性不稔判別

    小畑 悠, 斎藤嘉人, 宮川璃空, 村井 匠, 中根昂太郎, 飯田佑輔, 森口喜成

    第39回近赤外フォーラム  2023.11 

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    Venue:東京大学  

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  • Numerical estimation method for misalignment of optical systems using machine learning

    Ryo Hashimoto, Shuuji Matsuura, Yusuke Iida

    SPIE2023  2023.10 

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    Venue:Beijing, China  

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  • 近赤外分光法を用いた雄性不稔スギの判別

    小畑悠,斎藤嘉人,宮川璃空,村井匠,中根昂太郎,飯田佑輔,森口喜成

    農業環境工学関連学会 2023年合同大会  2023.9 

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    Venue:つくば国際会議場  

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  • GANを用いた太陽活動領域成長の画像予測手法の開発

    横山光輝, 飯田佑輔, 加納龍一

    日本天文学会2023年秋季年会  2023.9 

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    Venue:名古屋大学  

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  • SDO/HMIの連続光画像を用いた超粒状斑の面積の太陽周期依存性

    長谷川幸大, 飯田佑輔

    日本天文学会2023年秋季年会  2023.9 

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    Venue:名古屋大学  

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  • 撮像画質差が深層学習による合体銀河分類器に与える影響と原因の調査

    町田瑞樹,大井渚,飯田佑輔

    日本天文学会2023年秋季年会  2023.9 

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    Venue:名古屋大学  

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  • SOLAR-C 計画における科学運用・データ処理・地上系システムの検討状況

    鳥海森, 清水敏文, 松崎恵一, 加藤秀樹, 内山瑞穂, 備後博生, 山崎大輝(宇宙航空研究開発機構), 原 弘久, 石川遼子, 浦口史寛, 大場崇義, 岡本丈典, 勝川行雄, 川畑佑典, 久保雅仁, 篠田一也, 下条圭美, 都築俊宏, 鄭祥子, 成影典之, 光武正明(国立天文台), 飯田佑輔(新潟大学), 今田晋亮(東京大学), 増田智, 草野完也(名古屋大学), 永田伸一, 横山央明(京都大学), 渡邉恭子(防衛大学校)

    日本天文学会2023年秋季年会  2023.9 

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    Venue:名古屋大学  

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  • 深層学習による角質細胞の電子線回折像と皮膚物性の相間解析

    髙橋佳史、飯田佑輔、中沢寛光

    第74回コロイドおよび界面化学討論会(2023)  2023.9 

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    Venue:信州大学長野(工学)キャンパス  

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  • Basic of Deep Learning Modeling and Application to Image data

    Yusuke Iida

    Astro AI with Fugaku  2023.9 

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    Venue:筑波大学東京キャンパス  

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  • 深層学習を用いた背景処理を行わない白血球画像の分類

    剛嘉鴻 ,山﨑達也,飯田佑輔,山田隆,中川真奈美

    電子情報通信学会信越支部大会  2023.9 

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    Venue:online  

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  • Time-Series Prediction of SDO Ultraviolet Full-disk Images using a Video Prediction Method with Deep Learning

    A. Sasaki(Niigata U.), Y. Iida (Niigata U.)

    Hinode-16/IRIS-13  2023.9 

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    Venue:Toki Messe  

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  • Development of a coronal hole detection method from extreme ultraviolet images using U-Net

    So Fujiya(Niigata U.), Yusuke Iida(Niigata U.)

    Hinode-16/IRIS-13  2023.9 

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    Venue:Toki Messe  

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  • Solving filament fragmentation problem in the deep learning model by optimizing training settings

    T. Sato(Niigata U.), Y iida(Niigata U.), S. Ando(Niigata U.), A. Sasaki(Niigata U.)

    Hinode-16/IRIS-13  2023.9 

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    Venue:Toki Messe  

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  • Compressing Hinode SOT/SP spectral data using autoencoder

    J. Batmunkh (Niigata U.), Y. Iida (Niigata U.), T. Oba (NAOJ), H. Iijima (Nagoya U.)

    Hinode-16/IRIS-13  2023.9 

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    Venue:Toki Messe  

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  • Distribution of HINODE arcihve data and development of new web tool by DARTS

    S. Nakahira (ISAS/JAXA), Y. Iida (Niigata U.), K. Inada (ISAS/JAXA), H. A. Uchida (ISAS/JAXA) and K. Matsuzaki (ISAS/JAXA)

    Hinode-16/IRIS-13  2023.9 

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    Venue:Toki Messe  

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  • 深層学習による動画予測手法を用いたSDO紫外線画像の全球時系列予測

    佐々木明良,飯田佑輔

    SGEPSS2023年秋季年会  2023.9 

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    Venue:東北大学  

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  • 深層学習を用いた太陽紫外線画像からのコロナホール検出手法の開発

    藤谷壮, 飯田佑輔

    SGEPSS2023年秋季年会  2023.9 

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    Venue:東北大学  

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  • 機械学習を用いたスギ雄花画像からの無花粉判別モデルの開発

    WANG RUIQI, 飯田佑輔, 森口喜成, 斎藤嘉人

    電気情報通信学会信越支部大会  2023.9 

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    Venue:online  

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  • 出穂期を基準とした圃場SPAD値推定モデルの開発

    鈴木颯斗, 益戸幸哉, 佐藤智哉, 樋口泰浩(新潟県農業総合研究所)溝口雅哉(CEC新潟情報サービス株式会社), 小島幸奈(CEC新潟情報サービス株式会社), 飯田佑輔

    電気情報通信学会信越支部大会  2023.9 

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    Venue:online  

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  • 深層学習による角質細胞の電子線回折像と皮膚物性の相間解析

    髙橋佳史、飯田佑輔、中沢寛光

    電気情報通信学会信越支部大会  2023.9 

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    Venue:online  

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  • 太陽物理学と人工知能分野の融合に向けて

    飯田佑輔

    人工知能学会  2023.6 

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    Venue:熊本城ホール  

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  • 深層学習を用いた太陽フィラメント自動検出手法の開発

    佐藤 智哉, 飯田 佑輔, 安藤 秀一, 佐々木 明良

    人工知能学会  2023.6 

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    Venue:熊本城ホール  

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  • 関数同定アルゴリズムAI-Feynmanの流体方程式への適用

    森永貴藤, 飯田佑輔, 加納龍一

    人工知能学会  2023.6 

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    Venue:熊本城ホール  

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  • A compression method of solar polarization data with autoencoder

    Jargalmaa Batmunkh, Yusuke Iida, Takayoshi Oba, Haruhisa Iijima

    JSAI2023  2023.6 

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    Venue:Kumamoto-jo Hall  

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  • Detection Characteristics of Glacial Lakes in Mountainous Asia Using PlanetScope Satellite Data and Deep Learning

    Naho Yamada, Chiyuki Narama, Yusuke Iida

    JpGU2023  2023.5 

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    Venue:幕張メッセ  

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  • Development of an automatic solar filament detection method using deep learning

    Tomoya Sato, Yusuke Iida, Shuichi Ando, Akira Sasaki

    JpGU2023  2023.5 

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    Venue:幕張メッセ  

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  • Accuracy of area detection in Coronal hole detection model using U-net

    So Fujiya, Yusuke Iida

    JpGU2023  2023.5 

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    Venue:onlline  

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  • Time-Series Prediction of SDO Ultraviolet Full Disk Images using a Video Prediction Method with Deep Learning

    Akira Sasaki, Yusuke Iida

    JpGU2023  2023.5 

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    Venue:幕張メッセ  

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  • Development of image prediction method for solar active region evolution usgn GAN

    Koki Yokoyama, Yusuke Iida, Ryuichi Kanoh

    JpGU2023  2023.5 

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    Venue:幕張メッセ  

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  • A compression method of Hinode SOT/SP solar polarization data

    Jargalmaa Batmunkh, Yusuke Iida, Takayoshi Oba, Haruhisa Iijima

    JpGU2023  2023.5 

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    Venue:幕張メッセ  

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  • 深層学習による太陽高解像度画像の復元:様々な観測条件における検証

    福満翔, 勝川行雄, 石川遼太郎, 一本潔, 飯田佑輔

    日本天文学会2023年春季年会  2023.3 

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    Venue:立教大学  

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  • 機械学習による太陽フレア・黒点の予測とその先へ

    飯田佑輔, 田所拓馬, 横山光輝, 森永貴藤

    2022年度ISEE研究集会「太陽地球圏環境予測のためのモデル研究の展望」  2023.3 

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    Venue:online  

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  • 深層学習による動画予測手法を用いたSDO紫外線画像の全球時系列予測

    佐々木明良,飯田佑輔

    日本天文学会2023年春季年会  2023.3 

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    Venue:立教大学  

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  • A compression method for solar spectro-polarimetry data accumulated by Hinode SOT/SP

    Jargalmaa Batmunkh, Yusuke Iida, Takayoshi Oba, Haruhisa Iijima

    ASJ2023-Spring  2023.3 

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    Venue:Rikkyo University  

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  • SOLAR-C衛星のデータ利用・運用・地上系システムに関する検討状況

    鳥海森,松崎恵一,清水敏文,飯田佑輔,今田晋亮

    宇宙科学シンポジウム  2023.1 

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    Venue:宇宙科学研究所  

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  • Building an efficient compression method for solar spectro-polarimetry data accumulated by Hinode/SP

    Jargalmaa Batmunkh, Yusuke Iida, Takayoshi Oba, Haruhisa Iijima

    SPW10  2022.11 

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    Venue:online  

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  • Development of coronal hole detection method from LOS magnetograms with deep learning

    Ryo Takebe, Yusuke Iida

    ISEE-5  2022.11 

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    Venue:Nagoya University  

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  • A compression method for Stokes I and V polarimetric parameters of solar spectral data accumulated by Hinode/SP

    Jargalmaa Batmunkh, Yusuke Iida, Takayoshi Oba, Haruhisa Iijima

    ISEE-5  2022.11 

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    Venue:Nagoya University  

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  • 深層学習によるフィラメント自動検出における分割問題の解消

    安藤 秀一, 飯田 佑輔, 佐々木 明良

    日本天文学会2022年秋季年会  2022.9 

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    Venue:新潟大学  

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  • 深層学習を用いた圃場画像からのSPAD値推定手法の開発

    佐藤智哉, 飯田佑輔, 今井康貴

    電子情報通信学会信越支部大会  2022.9 

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    Venue:online  

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  • 深層学習を用いた人の表皮画像からの肌パラメータ診断手法の開発

    前澤健一, 飯田佑輔, 中沢寛光

    電気情報通信学会信越支部大会  2022.9 

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    Venue:online  

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  • ブラインドデコンボリューションを用いた宇宙望遠鏡の劣化診断手法の提案

    杉原侑剛, 飯田佑輔, 大場崇義

    電気情報通信学会信越支部大会  2022.9 

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    Venue:online  

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  • Study of the relation between the reversed granulation and the gas compression/expansion

    Takayoshi Oba, Mark Cheung, Yusuke Iida, Toshifumi Shimizu

    Hinode14/IRIS11  2022.9 

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    Venue:online  

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  • 深層学習を用いたPhoto-z推定におけるデータインバランス改善手法の検討

    津田 和輝, 飯田 佑輔, 大井 渚

    日本天文学会2022年秋季年会  2022.9 

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    Venue:online  

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  • 太陽輝点の機械学習による自動検出手法の比較

    渡邊 健斗, 飯田佑輔

    日本天文学会  2022.9 

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    Venue:online  

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  • オートエンコーダによるデータ圧縮を用いた太陽フレア発生予測手法の開発

    田所 拓馬, 飯田 佑輔, 小松 耀人

    日本天文学会2022秋季年会  2022.9 

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    Venue:新潟大学  

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  • 機械学習を利用した反射スペクトルからのにんにく病理診断 (Diagnosis of Garlic health status from reflectance spectral data using machine learning)

    安藤 秀一、飯田 佑輔、高橋 幸弘、成瀬 延康、石田 百合乃

    JpGU2022  2022.6 

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    Venue:online  

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  • Automatic detection of glacial lakes in mountainous regions of Asia using PlanetScope satellite data and deep learning

    Naho Yamada, Chiyuki Narama, Yusuke Iida

    JpGU2022  2022.6 

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    Venue:online  

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  • Development of coronal hole detection method from LOS magnetograms with deep learning

    Ryo Takebe, Yusuke Iida

    JpGU2022  2022.5 

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    Venue:online  

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  • Development of a Compression Method for Sunspot Magnetograms Using Autoencoders

    Takuma Tadokoro, Yusuke Iida, Akito Komatsu

    JpGU2022  2022.5 

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    Venue:online  

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  • Reversed Granulationの生成機構に関する研究

    大場崇義, Mark Cheung, 飯田佑輔, 清水敏文

    太陽研究者連絡会シンポジウム  2022.3 

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    Venue:online  

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  • 粒状斑反転構造の生成に関する観測的研究

    大場崇義, Mark Cheung, 飯田佑輔, 清水敏文

    日本天文学会2022年春季年会  2022.3 

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    Venue:online  

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  • 深層学習を用いた太陽磁場画像でのコロナホール検出

    竹部 良, 飯田 佑輔

    2021年度太陽研連・太陽スペース研究シンポジウム  2022.2 

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    Venue:online  

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  • 深層学習を用いた太陽全球磁気画像からのend-to-endな太陽フレア予測モデル構築

    小松 耀人, 飯田 佑輔

    2021年度太陽研連・太陽スペース研究シンポジウム  2022.2 

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    Venue:online  

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  • Solar-C (EUVST)における地上支援システムに関する検討

    飯田 佑輔,鳥海 森,清水 敏文,原 弘久,今田 晋亮,松崎 恵一,下条 圭美,岡本 丈典,大場 崇義

    ISASシンポジウム  2022.1 

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    Venue:online  

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  • Horizontal flow structure and dynamics in the granulation

    Takayoshi Oba, Yusuke Iida, Toshifumi Shimizu

    Hinode14/IRIS11  2021.10 

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    Venue:online  

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  • 畳み込みニューラルネットワークを用いた太陽活動領域の成長予測モデル構築

    大沼 伊織, 飯田 佑輔

    日本天文学会2021年秋季年会  2021.9 

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    Venue:online  

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  • 空間解像度差のあるデータセットを用いた深層学習による銀河形状分類精度

    本間 裕也, 飯田 佑輔, 大井 渚

    日本天文学会2021年秋季年会  2021.9 

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    Venue:online  

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  • Solar-C (EUVST) における地上支援システムに関する検討

    飯田 佑輔,鳥海 森,清水 敏文,原 弘久,今田 晋亮,松崎 恵一,下条 圭美,岡本 丈典,大場 崇義

    日本天文学会2021年秋季年会  2021.9 

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    Venue:online  

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  • Mask R-CNNを用いた活動領域の検出における空間解像度への依存性の検証

    小松 耀人, 飯田 佑輔

    日本天文学会2021年秋季年会  2021.9 

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  • Design of a Corona Mass Ejection Predictor from X-ray Sigmoidal Structures Using Machine Learning

    Suzuki Shojima, Shota Monno, Hiroyoshi Miwa, Yusuke Iida

    AOGS2021  2021.8 

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    Venue:online  

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  • Active region detection in the HMI magnetograms using the Mask R-CNN technique

    Akito Komatsu, Yusuke Iida

    JpGU2021  2021.6 

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    Venue:online  

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  • 深層学習を用いた活動領域の成長予測モデル構築

    大沼 伊織, 飯田 佑輔

    日本天文学会2021年春季年会  2021.3 

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    Venue:online  

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  • Mask R-CNNを用いた活動領域の検出

    小松 耀人, 飯田 佑輔

    日本天文学会2021年春季年会  2021.3 

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  • Solar-C(EUVST)における科学運用とデータ処理

    鳥海森、清水敏文、松崎恵一、鄭 祥子(JAXA/ISAS)、今田晋亮(名古屋大学)、川手朋子(核融合研)、 一本 潔、永田伸一、浅井 歩(京都大学)、末松芳法、原 弘久、勝川行雄、久保雅仁、渡邊鉄哉(国立天文台)、渡邉恭子(防衛大学校)、横山央明(東京大学)、飯田佑輔(新潟大学)、ほかSolar-C WG

    ISASシンポジウム  2021.1 

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    Venue:online  

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  • Mask R-CNNを用いた太陽磁気画像からの活動領域検出

    小松 耀人, 飯田 佑輔

    2020年度太陽研連・太陽スペース研究シンポジウム  2020.12 

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    Venue:online  

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  • Solar-C計画における運用体制構築と成果創出へ向けた最近の取り組み

    鳥海森、清水敏文、松崎恵一、鄭 祥子(JAXA/ISAS)、今田晋亮(名古屋大学)、川手朋子(核融合研)、 一本 潔、永田伸一、浅井 歩(京都大学)、末松芳法、原 弘久、勝川行雄、久保雅仁、渡邊鉄哉(国立天文台)、渡邉恭子(防衛大学校)、横山央明(東京大学)、飯田佑輔(新潟大学)、ほかSolar-C WG

    日本天文学会2020年秋季年会  2020.9 

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    Venue:online  

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  • Investigation of statistical relationships between loop structures in X-ray coronal image and CME using automatic recognition of coronal loops

    Yusuke Iida, Yusuke Kawabata, Toshifumi Shimizu

    JpGU2020  2020.5 

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  • X線ループ構造パラメータとコロナ質量放出の統計解析

    飯田 佑輔,川畑佑典,清水敏文

    日本天文学会2020年秋季年会  2020.3 

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    Venue:online  

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  • 衛星観測ビッグデータで迫る太陽ダイナモ問題

    飯田 佑輔

    量子コンピュータ研究開発の現在とこれから  2020.1 

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    Venue:理化学研究所  

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  • First Detection of Lyman-Alpha Scattering Polarization in Off-Limb Spicules and Its Constraint on Their Magnetic Field

    Masaki Yoshida, Y. Suematsu, R. Ishikawa, J. Trujillo Bueno, Y. Iida, M. Goto, R. Kano, N. Narukage, T. Bando, A. Wineberger, K. Kobayashi, F. Auchere

    Hinode-13/IPELS 2019  2019.9 

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    Venue:東京大学  

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  • Temporal and Spatial Variations of Linear Polarization in Lyman-α Spicules Observed by CLASP

    Masaki Yoshida, Y. Suematsu, R. Ishikawa, J. Trujillo Bueno, Y. Iida, M. Goto, R. Kano, N. Narukage, T. Bando, A. Wineberger, K. Kobayashi, F. Auchere

    Solar Polarization Workshop 9  2019.8 

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    Venue:Max Planck Institute for Solar System Research  

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Industrial property rights

  • 解析方法、解析装置及びプログラム

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    Applicant:Niigata University

    Application no:特願2024-066110  Date applied:2024.4

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Research Projects

  • 情報科学技術との融合による太陽表面磁場輸送のデータ駆動型モデリング

    2025.4 - 2028.3

    System name:科学研究費助成事業

    Research category:基盤研究(C)

    Awarding organization:日本学術振興会

    飯田佑輔

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    Authorship:Principal investigator 

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  • 天山山脈北部地域における氷河湖モニタリングの実践適用

    Grant number:24KK0018

    2024.9 - 2029.3

    System name:科学研究費助成事業

    Research category:国際共同研究加速基金(海外連携研究)

    Awarding organization:日本学術振興会

    奈良間 千之

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    Authorship:Coinvestigator(s) 

    Grant amount:\20800000 ( Direct Cost: \16000000 、 Indirect Cost:\4800000 )

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  • 細胞運動能を指標とする間葉系幹細胞の非破壊品質評価法の規格化

    Grant number:24K03319

    2024.4 - 2027.3

    System name:科学研究費助成事業

    Research category:基盤研究(B)

    Awarding organization:日本学術振興会

    泉 健次

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    Authorship:Coinvestigator(s) 

    Grant amount:\18590000 ( Direct Cost: \14300000 、 Indirect Cost:\4290000 )

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  • 画像イメージングを応用した角膜移植用培養口腔粘膜上皮細胞シートの品質評価法の開発

    Grant number:24K15822

    2024.4 - 2027.3

    System name:科学研究費助成事業

    Research category:基盤研究(C)

    Awarding organization:日本学術振興会

    小林 亮太

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    Authorship:Coinvestigator(s) 

    Grant amount:\4680000 ( Direct Cost: \3600000 、 Indirect Cost:\1080000 )

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  • ライブイメージ解析による上皮細胞シート非破壊品質評価法の確立

    2024.1 - 2025.3

    System name:III研究助成金

    Research category:再生医療研究

    Awarding organization:公益財団法人テルモ生命科学振興財団

    泉健治, 山﨑達也

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    Authorship:Principal investigator 

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  • Observation method and hazard level evaluation for short-lived glacial lake in the northern Tien Shan

    Grant number:22H00751

    2022.4 - 2026.3

    System name:Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (B)

    Research category:Grant-in-Aid for Scientific Research (B)

    Awarding organization:Japan Society for the Promotion of Science

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    Grant amount:\17290000 ( Direct Cost: \13300000 、 Indirect Cost:\3990000 )

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  • 深層学習による構造検出モデル構築における人の知覚利用基盤形成

    2021.7 - 2022.3

    System name:研究助成

    Research category:試験研究費(社会的課題解決型)

    Awarding organization:公益財団法人新潟工学振興会

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  • 画像認識と深層学習を用いた太陽X線画像ビッグデータからのコロナ質量放出予測モデルの構築

    2019.4 - 2020.3

    System name:笹川科学研究助成

    Research category:数物・工学系

    Awarding organization:公益財団法人日本科学協会

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    Authorship:Principal investigator 

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  • Observational verification of the solar dynamo model based on image recognition

    Grant number:18K13583

    2018.4 - 2021.3

    System name:Grants-in-Aid for Scientific Research Grant-in-Aid for Early-Career Scientists

    Research category:Grant-in-Aid for Early-Career Scientists

    Awarding organization:Japan Society for the Promotion of Science

    Iida Yusuke

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    Grant amount:\4160000 ( Direct Cost: \3200000 、 Indirect Cost:\960000 )

    In this research, we try to verify the validation of the current solar dynamo theory model, flux transport dynamo, using big data accumulated by the solar satellite observations. The key point of this study is the automatic tracking algorithm of magnetic elements on the solar surface, which is developed by the principal investigator so far. We developed the code more efficient to make it possible to detect such small motions of the solar surface magnetic field that are about 1/100 of the image pixels. This technique enabled us to detect the meridional flow more directly, and we showed the validity of the treatment of the meridional flow in the current solar dynamo model.

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  • Demonstration of UV Spectro-Polarimetery as a Solar Magnetic Field Diagnostics Tool by Sounding Rocket Experiment

    Grant number:16H03963

    2016.4 - 2019.3

    System name:Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (B)

    Research category:Grant-in-Aid for Scientific Research (B)

    Awarding organization:Japan Society for the Promotion of Science

    Ishikawa Ryohko, KANO ryouhei, SONG donguk, YOSHIDA masaki, ISHIKAWA shin-nosuke, KUBO masahito, NARUKAGE noriyuki, GOTO motoshi, IIDA yusuke

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    Grant amount:\18200000 ( Direct Cost: \14000000 、 Indirect Cost:\4200000 )

    The magnetic fields in the solar chromosphere and the transition region, which are interface layers between the photosphere and the corona, are considered to be key parameters to control the solar dynamical activities. Therefore, its measurement is one of new frontiers in solar observations. We developed the sounding rocket experiment CLASP2 (Chromospheric LAyer Spectro-Polarimeter) to perform the spectro-polarimetric observations in Mg II lines at 280 nm and succeeded in the observations for the first time. The success of CLASP2 has opened up a new window of UV Spectro-Polarimetry to measure the magnetic fields in the upper solar atmosphere.

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  • Approach to understand the solar coronal and chromospheric heating --- from Hinode, IRIS & CLASP to SOLAR-C

    Grant number:25220703

    2013.5 - 2018.3

    System name:Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (S)

    Research category:Grant-in-Aid for Scientific Research (S)

    Awarding organization:Japan Society for the Promotion of Science

    Tsuneta Saku, KANO Ryouhei, KUBO Masahito, ISHIKAWA Ryohko, BANDO Takamasa, NARUKAGE Noriyuki, OKAMOTO Takenori, GOTO Motoshi, HARA Hirohisa, SAKAO Taro, ISHIKAWA Shinnosuke, SUEMATSU Yoshinori, IMADA Shinsuke, KATO Yoshiaki, IIDA Yusuke, GIONO Gabriel, YOSHIDA Masaki, SONG Donguk, TRUJILLO BUENO Javier, KOBIKI Toshihiko, DE PONTIEU Bart, ANTOLIN Patrick, LEE Kyoung-Sun, TEI Akiko, KONO Shunya, CARLSSON Mats, LEENAARTS Jorrit, PEREIRA Tiago

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    Grant amount:\196170000 ( Direct Cost: \150900000 、 Indirect Cost:\45270000 )

    The innovative precision UV polarimeters CLASP1 and CLASP2 developed in this research and launched onboard two NASA sounding rockets discovered quantum atomic polarization and the quantum Hanle effect in the solar transition region and chromosphere for the first time. These confirmed quantum-mechanical phenomena provide us with new means to measure magnetic fields in the solar corona, transition region, and chromosphere. These magnetic fields have been very difficult to measure with the classical Zeeman effect alone. These new observation methods will facilitate new research, such as obtaining critical information about the propagation and dissipation of magnetohydrodynamic waves throughout the chromosphere/transition region all the way to the corona. These methods will also enable the identification of magnetic neutral points/lines, from which solar flares emanate, to better understand and predict solar activity which affects modern civilization and humanity.

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  • 太陽光球磁極活動の定量化とそのダイナミクス

    Grant number:11J00609

    2011 - 2012

    System name:科学研究費助成事業 特別研究員奨励費

    Research category:特別研究員奨励費

    Awarding organization:日本学術振興会

    飯田 佑輔

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    Grant amount:\1300000 ( Direct Cost: \1300000 )

    本年度は、まず昨年度の研究成果について論文として出版した。この成果は、米国科学誌Astrophysical Journal、754号に受理され出版された。
    昨年度の段階では磁極の消滅現象と出現現象について判別された数が少なかったため、より統計的な結果を得られるように、2つの面から研究手法を改良した。
    1つは、より多くのイベントを含んでいるようなデータがないか、ひので衛星による観測データのデータサーベイを行った。データサーベイの結果、時間間隔は解析データよりも長いが(昨年度データは1分間隔、新データは5分程度の間隔)観測期間が長いデータが存在した。しかし、昨年度開発したコードはこのデータに適用できなかった。なぜならば、5分の観測間隔の間に磁極はひので衛星の空間分解能よりも大きく動いてしまうため、時間間での磁極追跡ができないからである。そこで、申請者達は、連続画像間で磁極の比較をするときに空間的な余白をとれるように改良した。その結果、5分の観測間隔を持つデータにも適用できるようになった。
    もう1つは磁極内に含まれる磁束量について、その時間発展を追う際の手法を改良した。開発したコードでは、磁極内の磁束量変化においてその増加傾向と減少傾向から消滅現象と出現現象を判断している。その際の磁束量変化検出精度の向上により、これらの検出精度向上を目指した。試行錯誤の結果、磁極内に含まれる磁束量の時間方向についてメディアンフィルターとアヴェレージフィルターを組み合わせて用いることで、両現象の自動判別効率を格段に向上させることに成功した。
    これらの磁極判別・追跡コードの改良と新たな観測データサーベイにより、消滅現象と出現現象についてより統計性を増した結果を得た。

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Teaching Experience (researchmap)

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Teaching Experience

  • 量子研究の最前線

    2023
    Institution name:新潟大学

  • エンジニアのためのデータサイエンス入門(情報電子分野)

    2023
    Institution name:新潟大学

  • 機械学習

    2023
    Institution name:新潟大学

  • マルチメディアコンピューティング

    2023
    Institution name:新潟大学

  • 研究室体験実習

    2022
    Institution name:新潟大学

  • データ分析特論

    2021
    Institution name:新潟大学

  • 人工知能特論

    2021
    Institution name:新潟大学

  • コンピュータ基礎

    2020
    Institution name:新潟大学

  • データサイエンス概論

    2020
    Institution name:新潟大学

  • 情報システム基礎実習

    2020
    Institution name:新潟大学

  • データマネジメント工学

    2020
    Institution name:新潟大学

  • 工学リテラシー入門(情報電子分野)

    2020
    Institution name:新潟大学

  • データサイエンス総論Ⅱ

    2020
    Institution name:新潟大学

  • データサイエンス総論Ⅰ

    2020
    Institution name:新潟大学

  • 知能情報システム実験III

    2020
    -
    2022
    Institution name:新潟大学

  • プログラミングAI

    2020
    -
    2022
    Institution name:新潟大学

  • プログラミングAII

    2020
    -
    2022
    Institution name:新潟大学

  • 知能情報システム実験IV

    2020
    -
    2022
    Institution name:新潟大学

  • 情報工学実験II

    2020
    -
    2021
    Institution name:新潟大学

  • リメディアル演習

    2020
    Institution name:新潟大学

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Social Activities

  • 新大×附属長岡中★スプリングセッション

    Role(s): Lecturer, Organizing member

    新潟大学  2025.3

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    Audience: Junior students

    研究者へのキャリアパス

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  • 産学官共創ものづくり推進事業 データサイエンスの実践成果報告会

    Role(s): Lecturer

    新潟県工業技術総合研究所  2025.2

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    実データ分析を通した気づきの方法 〜データサイエンスの視点から〜

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  • 新潟大学ELSIセンター サイエンスカフェ AIと私たちの未来

    Role(s): Appearance, Lecturer

    異人館池カフェ  2024.11

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    AIはどうやって「考える」の?

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  • 新大×刈羽中★サマーセッション

    Role(s): Lecturer, Organizing member

    新潟大学  2024.9

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    AI技術で革新する宇宙天気予報

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  • にいがた市民大学講座「 人工知能や生成 AI と私たちの生活 」

    Role(s): Lecturer

    新潟市生涯学習センター  2024.2

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    人工知能のナカミ

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  • 新潟大学公開講座「新時代の宇宙研究」

    Role(s): Lecturer

    ときめいと  2023.12

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    身近な天体、太陽の謎

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  • NINNOACADEMIA「機械学習モデルの構築と実装」講師

    Role(s): Lecturer

    NINNOプラーカ3  2023.11

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  • 太陽研究最前線ツアー

    Role(s): Lecturer

    オンライン  2023.3

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    太陽データの機械学習実習

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  • 新大×附属長岡中★サマーセッション

    Role(s): Lecturer

    新潟大学  2022.9

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    Audience: Junior students

    AI技術で革新する宇宙天気予報

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  • 実社会における数理・データサイエンス・AIの活用事例について

    Role(s): Lecturer

    新潟大学BDA研究センター  オンライン  2022.9

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    Audience: General

    AI技術で革新する宇宙天気予報

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  • NASA-JAXAハイパーウィール講演会 @ JpGU2019

    Role(s): Presenter, Lecturer, Planner, Organizing member

    2019.5

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    Audience: Schoolchildren, Junior students, High school students, College students, Graduate students, Teachers, General

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Academic Activities

  • ISEE研究集会「情報科学技術と太陽圏物理学」 世話人

    Role(s): Planning, management, etc., Panel moderator, session chair, etc.

    2024.9

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    Type:Academic society, research group, etc. 

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  • JpGU2024 U-12 人工知能が拓く地球惑星科学の将来 共同コンビーナ

    Role(s): Planning, management, etc., Panel moderator, session chair, etc.

    日本地球惑星科学連合  2024.5

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    Type:Academic society, research group, etc. 

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  • Hinode-16/IRIS-13 LOC

    Role(s): Planning, management, etc.

    2023.9

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    Type:Academic society, research group, etc. 

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