2024年度 研究発表論文一覧

著書・編著 / Book

  • Shin'ichi Arakawa, Field Experiments on Private 5G Communication Systems, ch. 8.3.2 of Cyber-netic Avatar, pp. 284–290. Springer Singapore, November 2024.
  • 学術論文誌 / Journal

    1. Naoki Nishio, Tatsuya Otoshi, and Masayuki Murata, “Predictive beamforming with active infer-ence in constant channel condition change,” submitted for publication.
    2. Hao Su, Arakawa Shin'ichi and Masayuki Murata, “Enabling occlusion-aware trajectory planning for connected and automated vehicles: A geometric method based on occluded area tracking,” sub-mitted for publication.
    3. Daichi Kominami and Masayuki Murata, “Energy-efficient self-organized coverage control in Lo-RaWAN inspired by satellite behavior of Japanese tree frogs,” submitted for publication.
    4. Suyong Eum, Shin'ichi Arakawa and Masayuki Murata, “Deterministic and Probabilistic Schedul-ing for Latency Guarantees in B5G/6G Network Management,” submitted for publication.
    5. Hao Su, Shin'ichi Arakawa and Masayuki Murata, “Cooperative 3D multi-object tracking with cross-agent data association for connected and automated vehicles,” submitted for publication.
    6. Ryoga Seki, Daichi Kominami, Hideyuki Shimonishi, Masayuki Murata, and Masaya Fujiwaka, “Object recognition method for digital twin inspired by multimodal information processing in the human brain,” submitted for publication.
    7. Akishige Ikoma, Yuichi Ohsita and Masayuki Murata, “Resource aware deep learning model parti-tioning and allocation for inference task in clusters with heterogeneous graphics processing units,” submitted for publication.
    8. Tatsuya Otoshi and Masayuki Murata, “Coordinated multi-point by distributed hierarchical active inference with sensor feedback,” Computer Networks, vol. 257, p. 110989, February 2025.
    9. Ade Kurniawan, Yuichi Ohsita, and Masayuki Murata, “Detection of sensors used for adversarial examples against machine learning models,” Results in Engineering, Volume 24, December 2024, No. 103021.
    10. Hideyuki Shimonishi, Daichi Kominami, Yuichi Ohsita, Hiroshi Yoshida, Kousuke Nogami, Dai Kanemoto and Masayuki Murata, “Probabilistic representation and its application of digital-twin of spatio-temporal real-world toward trustable cyber-physical interactions,” IEEE Network, vol. 38, no. 6, pp. 130–137, November 2024.
    11. Akishige Ikoma, Yuichi Ohsita and Masayuki Murata, “Optical network topology design to execute many tasks simultaneously in a disaggregated data center,” IEEE/OSA Journal of Optical Commu-nications and Networking, vol. 16, no. 7, pp. 764–780, July 2024.
    12. Akishige Ikoma, Yuichi Ohsita and Masayuki Murata, “Resource allocation considering impact of network on performance in a disaggregated data center,” IEEE Access, vol. 12, pp. 67600–67618, May 2024. [pdf]
    13. Betty Wutzl, Kenji Leibnitz and Masayuki Murata, “An analysis of the correlation between the asymmetry of different EEG-sensor locations in diverse frequency bands and short-term subjective well-being changes,” Brain Sciences, vol. 14, no. 3, March 2024. [pdf]

    国際会議議事録 / International Conference Proceedings

    1. Eito Kosuga, Shin'ichi Arakawa and Masayuki Murata, “Evaluation of person search system using multidirectional cameras and a drone based on active inference,” submitted for presentation.
    2. Hoang Thi Huong Giang, Kohei Shiomoto, Tatsuya Otoshi and Masayuki Murata, “Adapting topic modeling for network behavior analysis,” submitted for presentation.
    3. Hao Su, Arakawa Shin'ichi and Masayuki Murata, “Occlusion-aware planning for connected and automated vehicles with cooperative perception at unsignalized intersection,” submitted for presentation.
    4. Akishige Ikoma, Yuichi Ohsita and Masayuki Murata, “Dynamic resource allocation considering workload changes in a disaggregated data center,” in Proceedings of 2025 IEEE 15th Annual Computing and Communication Workshop and Conference (IEEE CCWC), January 2025. [pdf] [slide]
    5. Betty Wutzl, Kenji Leibnitz and Masayuki Murata, “Do posterior EEG asymmetries also correlate to short-term subjective well-being?,” 2024 Annual OHBM Australia Meeting (poster presentation), November 2024. [poster]
    6. Naoki Nishio, Tatsuya Otoshi, and Masayuki Murata, “Predictive beamforming with active infer-ence in hierarchical codebooks,” in Proceedings of 2024 20th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), pp. 563–569, October 2024. [pdf] [slide]
    7. Harumasa Tada, Masayuki Murata, and Masaki Aida, “A model of net flaming caused by news propagation in online social networks,” in Proceedings of the 16th International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2024), September 02-05, 2024.
    8. Hiroyuki Tsuda, Ryogo Kubo, Masayuki Iwase, Masahito Morimoto, Keisuke Kawahara, Daisuke Noguchi, Yasushi Amamiya, Yongwi Kim, Yoshiaki Nakano, Takuo Tanemura, Masayuki Murata and Shinichi Arakawa, “Demonstration of a highly reliable si-photonics-based in-vehicle optical network (SiPhON) for autonomous driving,” in Proceedings of the 50th European Conference on Optical Communications (ECOC), September 2024.
    9. Narumi Shigekiyo, Masaaki Yamauchi, Hiroshi Tsuji, Hideyuki Shimonishi, Masayuki Murata, Miwa Sugita and Michihiro Kita, “Estimating anxiety intensity of dementia patients using phrases, facial expressions, and behaviors,” in Proceedings of 2024 IEEE International Symposium on Consumer Technology (ISCT), pp. 213–219, August 2024. [pdf]
    10. Betty Wutzl, Kenji Leibnitz and Masayuki Murata, “The correlation between subjective Well-Being and EEG Frontal Asymmetry in different frequency bands,” 2024 Annual Meeting of the Organiza-tion for Human Brain Mapping (OHBM) (poster presentation), June 2024. [poster]
    11. Hao Su, Shin'ichi Arakawa and Masayuki Murata, “Cooperative 3D multi-object tracking for con-nected and automated vehicles with complementary data association,” in Proceedings of 2024 IEEE Intelligent Vehicles Symposium (IV), pp. 285–291, June 2024.
    12. Tatsuya Otoshi, Hideyuki Shimonishi, Tetsuya Shimokawa and Masayuki Murata, “Power efficient edge-cloud cooperation by value-sensitive Bayesian attractor model,” in Proceedings of The Sixth International Workshop on Intelligent Cloud Computing and Networking (ICCN 2024), May 2024 [pdf] [slide]

    講演 / Lecture

    1. 小南 大智, “人の行う情報認識処理を模した、ロボットによる物体認識,” 第9 回【おウチで】大阪大学ロボットサイエンスカフェ, March 2025.
    2. 荒川 伸一, “アバター共生社会実現に向けた無線・ネットワークの現状と課題.” 第五回電波利活用強靭化に向けた電波COE シンポジウム, 招待講演.
    3. Betty Wutzl, Kenji Leibnitz and Masayuki Murata, “Types of cognitive biases and how to measure them,” The 10th CiNet Conference (poster presentation), December 2024.
    4. Betty Wutzl, Kenji Leibnitz and Masayuki Murata, “Correlation between EEG signals and subjec-tive well-being,” The 9th CiNet Conference (poster presentation), February 2024.

    口頭発表(国内研究会など)/ Domestic Conference

    1. 小南 大智, 合原 一究, 村田 正幸, “自由エネルギー原理を用いたニホンアマガエルの発声行動のモデル化と GF-NOMA への応用,” 電子情報通信学会ネットワークシステム研究会(発表予定), March 2025.
    2. 川口 椋太郎, 大下 裕一, 原 博子, 下西 英之, 村田 正幸, "室内環境や作業内容による快-不快および覚醒度の変化の個人別モデル化," 電子情報通信学会コミュニケーションクオリティ研究会, pp. 69-74, March 2025.
    3. 福山 敦也, 大下 裕一, 村田 正幸, “能動推論に基づく搬送ロボット制御手法の提案,” 電子情報通信学会コミュニケーションクオリティ研究会, vol. 124, no. 368, pp. 49–54, January 2025. [pdf] [slide]
    4. 大歳 達也, “能動的推論によるセンシングと通信の統合型ビームフォーミング制御,” 電子情報通信学会技術研究報告(IN2024-59), vol. 124, no. 312, pp. 26–29, December 2024. [pdf]
    5. 小菅 瑛斗, 荒川 伸一, 村田 正幸, “能動推論に基づく広域エリア人物探索手法の有効性の評価,” 電子情報通信学会情報ネットワーク研究会, vol. 124, no. 199, pp. 65–70, October 2024. [pdf] [slide]
    6. 生駒 昭繁, 大下 裕一, 村田 正幸, “リソース分離型データセンターにおける処理負荷やネットワークの変化を考慮した動的資源割当手法,” 電子情報通信学会情報ネットワーク研究会, vol. 124, no. 180, pp. 1–6, September 2024. [pdf] [slide]
    7. 山田 翔太, 大歳 達也, 村田 正幸, “位置情報を利用した能動推論による基地局間連携ビームフォーミング手法,” 電子情報通信学会技術研究報告(RCS2024-14), vol. 52, no. 124, pp. 1–6, May 2024. [pdf] [slide]

    博士学位論文・修士学位論文・特別研究報告 / Thesis

    博士学位論文 / Doctoral Dissertation

    1. Akishige Ikoma, Optical Micro Disaggregated Data Centers Capable of Executing Many Tasks Simultaneously. PhD thesis, Graduate School of Information Science and Technology, Osaka Uni-versity, December 2024. [pdf] [slide]

    修士学位論文 / Master's Thesis

    1. Haruhito Ando, “Human perception inspired multimodal object recognition by considering time-dependent reliance on modalities,” Master’s thesis, Graduate School of Information Science and Technology, Osaka University, February 2025. [pdf] [slide]
    2. Yang Yu, “Proposal and evaluation of robot navigation methods utilizing radio wave simulators in a private 5G environment,” Master’s thesis, Graduate School of Information Science and Technology, Osaka University, February 2025. [pdf]
    3. Rui Geng, “Indoor multimodal object recognition with mmWave sensing and RGB vision for pri-vate 5G networks,” Master’s thesis, Graduate School of Information Science and Technology, Osa-ka University, February 2025.
    4. Atsuhisa Hazama, “Proposal and evaluation of wireless signal mapping and navigation for mobile robotic cellular base stations,” Master’s thesis, Graduate School of Information Science and Tech-nology, February 2025. [pdf] [slide]
    5. Keita Hara, “Real-time indoor environmental control method for improving personal thermal com-fort using multimodal biometric information,” Master’s thesis, Graduate School of Information Science and Technology, February 2025. [pdf] [slide]
    6. Taikei Mori, “QoE estimation method for video streaming using power spectral density of EEG and its application to adaptive bitrate control for QoE improvement,” Master’s thesis, Graduate School of Information Science and Technology, February 2025. [pdf]

    特別研究報告 / Bachelor's Thesis

    1. 伊藤 碧, “個人ごとのウェルビーイング空間実現のためのアンカリングバイアスを含む温熱感覚の時間変化のモデル化と検証,” 大阪大学基礎工学部情報科学科特別研究報告, Feb-ruary 2025. [pdf] [slide]
    2. 大島 良介, “操作者の認知バイアスを推定し支援する VR 型訓練システムの実装と有効性の評価,” 大阪大学基礎工学部情報科学科特別研究報告, February 2025. [pdf] [slide]
    3. 関澤 和希, “モバイルネットワークのスライス埋め込み問題を対象とした量子遺伝子制御ネットワークアルゴリズムの適用手法,” 大阪大学基礎工学部情報科学科特別研究報告, February 2025. [pdf] [slide]
    4. 橋本 悠平, “実時間ビームフォーミング実現のための能動推論を用いたネットワークデジタルツインの動的更新手法の検討,” 大阪大学基礎工学部情報科学科特別研究報告, February 2025. [pdf] [slide]
    5. 前野 仁愛, “能動推論を用いた IoT センサ情報収集と実世界の状態推定を同時に解決する偽情報判定手法の提案と評価,” 大阪大学基礎工学部情報科学科特別研究報告, February 2025. [pdf] [slide]