KUNITA Itsuki

写真a

Title

Associate Professor

Researcher Number(JSPS Kakenhi)

20645478

Laboratory Address

1 Senbaru,Nishihara,Okinawa

Laboratory Phone number

+81-98-895-8711

Current Affiliation Organization 【 display / non-display

  • Duty   University of the Ryukyus   Faculty of Engineering   School of Engineering_Computer Science and Intelligent Systems Program   Associate Professor  

  • Concurrently   University of the Ryukyus   Graduate School of Engineering and Science   Computer Science and Intelligent Systems   Associate Professor  

External Career 【 display / non-display

  • 2011.06
    -
    2013.09

    Future University Hakodate (Faculty of Systems Information Science) PD  

  • 2013.10
    -
    2015.03

    Hokkaido University (Research institute for Electronic Science) PD  

  • 2015.04
    -
    2016.11

    Kumamoto University (International Research Center for Medical Sciences) PD  

  • 2016.12
    -
    2017.03

    University of the Ryukyus (Department of Information Engineering, Faculty of Engineering) Instructor  

  • 2017.01
    -
    2021.03

     

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Research Interests 【 display / non-display

  • 複雑系科学

  • 生物物理学

  • 生体医工学

  • 画像処理工学

Research Areas 【 display / non-display

  • Informatics / Intelligent informatics

  • Informatics / Intelligent robotics

  • Natural Science / Biophysics, chemical physics and soft matter physics

  • Life Science / Biomedical engineering

  • Informatics / Life, health and medical informatics

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Published Papers 【 display / non-display

  • Dynamic remodeling model based on chemotaxis of slime molds

    Uza, M; Kunita, I

    BIOINSPIRATION & BIOMIMETICS ( Bioinspiration and Biomimetics )  19 ( 5 )   2024.09 [ Peer Review Accepted ]

    Type of publication: Research paper (scientific journal)

     View Summary

    Social infrastructure networks, essential for daily life and economic activities, encompass utilities such as water, electricity, roads, and telecommunications. Dynamic remodeling of these systems is crucial for responding to continuous changes, unexpected events, and increased demand. This study proposes a new dynamic remodeling model inspired by biological mechanisms, focusing on a model based on the chemotaxis of slime molds. Slime molds adapt spontaneously to environmental changes by remodeling through the growth and degeneration of tubes. This capability can be applied to optimizing and dynamic remodeling social infrastructure networks. This study elucidated the chemotactic response characteristics of slime molds using biological experiments. The mold’s response was observed by considering changes in the concentration of chemicals as environmental changes, confirming that slime molds adapt to environmental changes by shortening their periodic cycles. Subsequently, based on this dynamic response, we propose a new dynamic model (oscillated Physarum solver, O-PS) that extends the existing Physarum solver (PS). Numerical simulations demonstrated that the O-PS possesses rapid and efficient path-remodeling capabilities. In particular, within a simplified maze network, the O-PS was confirmed to have the same shortest-path searching ability as the PS, while being capable of faster remodeling. This study offers a new approach for optimizing and dynamically remodeling social infrastructure networks by mimicking biological mechanisms, enabling the rapid identification of solutions considering multiple objectives under complex constraints. Furthermore, the variation in convergence speed with oscillation frequency in the O-PS suggests flexibility in responding to environmental changes. Further research is required to develop more effective remodeling strategies.

  • Estimating individual exposure to predation risk in group-living baboons, Papio anubis.

    Suire A, Kunita I, Harel R, Crofoot M, Mutinda M, Kamau M, Hassel JM, Murray S, Kawamura S, Matsumoto-Oda A

    PloS one ( Public Library of Science (PLoS) )  18 ( 11 ) e0287357 - e0287357   2023 [ Peer Review Accepted ]

    Type of publication: Research paper (scientific journal)

     View Summary

    In environments with multiple predators, vulnerabilities associated with the spatial positions of group-living prey are non-uniform and depend on the hunting styles of the predators. Theoretically, coursing predators follow their prey over long distances and attack open areas, exposing individuals at the edge of the group to predation risk more than those at the center (marginal predation). In contrast, ambush predators lurk unnoticed by their prey and appear randomly anywhere in the group; therefore, isolated individuals in the group would be more vulnerable to predators. These positions of vulnerability to predation are expected to be taken by larger-bodied males. Moreover, dominant males presumably occupy the center of the safe group. However, identifying individuals at higher predation risk requires both simultaneous recording of predator location and direct observation of predation events; empirical observations leave ambiguity as to who is at risk. Instead, several theoretical methods (predation risk proxies) have been proposed to assess predation risk: (1) the size of the individual ‘unlimited domain of danger’ based on Voronoi tessellation, (2) the size of the ‘limited domain of danger’ based on predator detection distance, (3) peripheral/center position in the group (minimum convex polygon), (4) the number and direction of others in the vicinity (surroundedness), and (5) dyadic distances. We explored the age-sex distribution of individuals in at-risk positions within a wild baboon group facing predation risk from leopards, lions, and hyenas, using Global Positioning System collars. Our analysis of the location data from 26 baboons revealed that adult males were consistently isolated at the edge of the group in all predation risk proxies. Empirical evidence from previous studies indicates that adult male baboons are the most frequently preyed upon, and our results highlights the importance of spatial positioning in this.

  • A Three-Dimensional Scanning System for Digital Archiving and Quantitative Evaluation of Arabidopsis Plant Architectures.

    Kunita I, Morita MT, Toda M, Higaki T

    Plant & cell physiology     2021.05 [ Peer Review Accepted ]

    Type of publication: Research paper (scientific journal)

  • Three-dimensional reconstruction of Arabidopsis plant architecture

    Kunita Itsuki, Kinjo Airi, Toda Masashi, Higaki Takumi

    PLANT MORPHOLOGY ( The Japanese Society of Plant Morphology )  33 ( 1 ) 67 - 69   2021

    Type of publication: Research paper (scientific journal)

     View Summary

    <p>Non-destructive three-dimensional reconstruction is required to precisely determine plant morphology and its changes. We developed a space-efficient and low-cost three-dimensional reconstruction system for plant architecture of <i>Arabidopsis thaliana,</i> which can be easily obtained in laboratories specializing in plant science. In this system, images of a plant rotating at low speed on a rotator are captured by a camera from multiple directions and a three-dimensional image is reconstructed based on the visual volume intersection method. The accuracy of the three-dimensional reconstruction was verified using a three-dimensional model of known size and shape. It was observed that 360 images captured at intervals of approximately 1° were sufficient to obtain accurate three-dimensional images with submillimeter resolution and high shape reproducibility. Our system is expected to contribute to the promotion of multi-dimensional phenotyping of plant architectures.</p>

  • Millimeter-sized belt-like pattern formation of actin filaments in solution by interacting with surface myosin in vitro

    Kentaro Ozawa, Hirotaka Taomori, Masayuki Hoshida, Itsuki Kunita, Shigeru Sakurazawa, Hajime Honda

    Biophysics and Physicobiology ( Biophysics and Physicobiology )  16   1 - 8   2019.01 [ Peer Review Accepted ]

    Type of publication: Research paper (scientific journal)

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Other Papers 【 display / non-display

  • Cellular Ethological Dynamics in Diorama Environments

    Nishigami, Y; Kunita, I; Sato, K; Nakagaki, T

    JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN ( Journal of the Physical Society of Japan )  92 ( 12 )   2023.12  [Refereed]

     

    DOI

  • Proposal of a self-organizing formation building Model based on difference in behavior due to Baboon sexage attributes

    Nonoka HOMMA, Akiko MATSUMOTO, Itsuki KUNITA

        1F2-02   2023.12  [Refereed]

     

  • A customer behavior classification method using trajectory clustering

    Kanon MIYAZATO, Itsuki KUNITA

        2E2-06   2023.12  [Refereed]

     

  • The physarum model by membrane potential change proceed growing

    Megumi UZA, Itsuki KUNITA

        2B2-02   2023.12  [Refereed]

     

  • Effects of interactions between agents on swarm control in multi-shephering.

    Keigo NAKADA, Akiko MATSUMOTO, Itsuki KUNITA

        1F2-04   2023.12  [Refereed]

     

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Presentations 【 display / non-display

  • Reforming network routes using phase changes in slime molds

    Megumi Uza, Itsuki Kunita

    SCIS&ISIS 2024  2024.11  -  2024.11 

  • Impact of Shepherd Interaction on Flock Dynamics in MultiShepherding

    Keigo Nakada, Akiko Matsumoto-Oda, Itsuki Kunita

    SCIS&ISIS 2024  2024.11  -  2024.11 

  • Relationship between the Proportion of Agents with Different Repulsion Distances and Their Spatial Arrangement

    Nonoka Homma, Akiko Matsumoto-Oda, Itsuki Kunita

    SCIS&ISIS 2024  2024.11  -  2024.11 

  • Biological rhythm in the acorn barnacle Fistulobalanus albicostatus: The cirrus behavior synchronizing to light-dark and tidal cycles

    Aoi Katayama, Hiroki Takekata, Itsuki Kunita, Akihiro Takemura

    OIST-CNRS Joint Symposium on West Pacific Marine Biology  2024.04  -  2024.04 

  • アクチンフィラメントの末端を数ナノメートルの精度で観察

    圓福 光, 三谷 隆大, 國田 樹, 本多 元

    第61回 日本生物物理学会年会  2023.11  -  2023.11 

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Academic Awards 【 display / non-display

  • Best Paper Award

    2015.09   The 6th Japan-China-Korea MEMS/NEMS 2015   Angiogenic sprouts form perfusable vascular networks inside multicellular spheroid

    Winner: Yuji Nashimoto, Itsuki Kunita, Akiko Nakamasu, Yusuke Torisawa, Hisako Imamura-Takigawa, Hidetoshi Kotera, Koichi Nishiyama, Takashi Miura, Ryuji Yokokawa

Grant-in-Aid for Scientific Research 【 display / non-display

  • Grant-in-Aid for Scientific Research(C)

    Project Year: 2023.04  -  2027.03 

    Direct: 3,600,000 (YEN)  Overheads: 4,680,000 (YEN)  Total: 1,080,000 (YEN)

  • Heuristic algorithm of exploration and exploitation to the space geometry in ciliates and amoebae

    Grant-in-Aid for Transformative Research Areas (A)

    Project Year: 2021.09  -  2026.03 

    Direct: 92,400,000 (YEN)  Overheads: 120,120,000 (YEN)  Total: 27,720,000 (YEN)

  • Grant-in-Aid for Scientific Research(C)

    Project Year: 2019.04  -  2023.03 

    Direct: 3,400,000 (YEN)  Overheads: 4,420,000 (YEN)  Total: 1,020,000 (YEN)

  • Imaging analysis on cell geometry during mechanical optimization in leaves

    Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)

    Project Year: 2018.06  -  2023.03 

    Direct: 44,200,000 (YEN)  Overheads: 57,460,000 (YEN)  Total: 13,260,000 (YEN)

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SDGs 【 display / non-display

  • 生物の多様性と行動、農作物の栽培技術向上