2020年度 研究発表論文一覧

著書・編著 / Book

  1. Masayuki Murata and Kenji Leibnitz (Eds.), Fluctuation-Induced Network Control and Learning: Applying the Yuragi Principle of Brain and Biological Systems of Brain and Biological Systems, Springer, April 15th, 2021.
  2. Shin’ichi Arakawa and Tatsuya Otoshi, “Introduction to Yuragi Learning,” Chapter 4 of Fluctua-tion-Induced Network Control and Learning: Applying the Yuragi Principle of Brain and Biological Systems, Springer, April 15th, 2021.
  3. Onur Alparslan and Shin’ichi Arakawa, “Fast/Slow-Pathway Bayesian Attractor Model for IoT Networks Based on Software-Defined Networking with Virtual Network Slicing,” Chapter 5 of Fluctuation-Induced Network Control and Learning: Applying the Yuragi Principle of Brain and Biological Systems, Springer, April 15th, 2021.
  4. Yuichi Ohsita, “Application to IoT Network Control: Predictive Network Control based on Real-World Information,” Chapter 6 of Fluctuation-Induced Network Control and Learning: Applying the Yuragi Principle of Brain and Biological Systems, Springer, April 15th, 2021.
  5. Daichi Kominami, “Another Prediction Method and Application to Low-Power Wide-Area Networks,” Chapter 7 of Fluctuation-Induced Network Control and Learning: Applying the Yuragi Principle of Brain and Biological Systems, Springer, April 15th, 2021.
  6. Tatsuya Otoshi, “Bias-Free Yuragi Learning,” Chapter 9 of Fluctuation-Induced Network Control and Learning: Applying the Yuragi Principle of Brain and Biological Systems, Springer, April 15th, 2021.

学術論文誌 / Journal

  1. Shuya Abe, Go Hasegawa, Satoshi Hasegawa, Shin’ichi Arakawa, and Masayuki Murata, “User-oriented network slicing architecture for beyond-5G networks,” submitted for publication, December 2020.
  2. Shuya Abe, Go Hasegawa, and Masayuki Murata, “Performance analysis of mobile cellular networks accommodating cellular-IoT communications with immediate release of radio resources,” submitted for publication, November 2020.
  3. Daichi Kominami, Masayoshi Iwamoto, Tatsuya Otoshi, and Masayuki Murata, “Adaptive rate control based on a human cognitive model toward individual user QoE improvement,” submitted for publication, October 2020.
  4. Yushi Hosokawa, Daichi Kominami, Ikkyu Aihara, and Masayuki Murata, “Localization method for multiple vocalizing animals using a wireless acoustic sensor network,” submitted for publication, October 2020.
  5. Shiori Takagi, Shin’ichi Arakawa, and Masayuki Murata, “Design, implementation and evaluation of core/periphery-based network-oriented mixed reality services,” submitted for publication, August 2020. [ pdf ]
  6. Naomi Kuze, Shu Ishikura, Takeshi Yagi, Daiki Chiba, and Masayuki Murata, “Classification of Diversified Web Crawler Accesses Inspired by Biological Adaptation,” to appear in International Journal of Bio-Inspired Computation, 2021.
  7. 鈴木 敏明, 正村 雄介, 村田 正幸, “マイクログリッド間での高効率な電力利用を可能とする蓄放電機能配備および送電管理方式,” 情報処理学会論文誌, Vol. 62, No. 1, pp.12-25, January, 2021.
  8. Harumasa Tada, Masayuki Murata, and Masaki Aida, “Mitigation of Flash Crowd in Web Services By Providing Feedback Information to Users,” IEICE Transactions on Information and Systems, Vol. E104.D, No. 1, pp. 63-75, January 2021.
  9. Lu Chen and Masayuki Murata, “Enhancing network modularity to mitigate catastrophic forgetting,” Applied Network Science, Vol. 5, Paper No. 94, 2020.
  10. Yuki Tsukui, Shin’ichi Arakawa, Shiori Takagi, and Masayuki Murata, “Design and placements of virtualized network functions for dynamically changing service requests based on a core/periphery structure,” IEEE Access, vol. 8, pp. 166294–166303, 10 September 2020. [ pdf ]
  11. Onur Alparslan, Shin’ichi Arakawa and Masayuki Murata, “SDN-based control of IoT network by brain-inspired Bayesian attractor model and network slicing,” Applied Sciences, vol. 10, p. 5773, August 2020. [ pdf ]
  12. Masaaki Yamauchi, Yuichi Ohsita, Masayuki Murata, Kensuke Ueda, and Yoshiaki Kato, “Anomaly Detection in Smart Home Operation from User Behaviors and Home Conditions,” IEEE Transactions on Consumer Electronics, vol. 66, pp. 183–192, May 2020. [ pdf ]

国際会議議事録 / International Conference Proceedings

  1. Tatsuya Otoshi, Shin’ichi Arakawa, Masayuki Murata, Takeo Hosomi and Toshiyuki Kanoh, “Method for flexible updating of attractors in virtual network topology control with Bayesian attractor model,” to be presented at IEEE International Conference on Communications, June 2021.
  2. Go Hasegawa, Shin’ichi Arakawa, Satoshi Hasegawa and Masayuki Murata, “UONA: User-Oriented Network Slicing Architecture for Beyond-5G networks,” to be presented at IEEE International Conference on Communications, June 2021.
  3. Semin An, Yuichi Ohsita, and Masayuki Murata, “Evaluation of Network Resource Allocation Based on Monitored Traffic Condition inspired by Human Brain Cognition Process,” in Proceedings of 2020 International Conference on Emerging Technologies for Communications, December 2020. [ pdf ] [ slide ]
  4. Kasumi Kitao, Daichi Kominami, and Masayuki Murata, “GA-based feature selection for QoE estimation using EEG during video viewing,” in Proceedings of 2020 International Conference on Emerging Technologies for Communications (ICETC 2020), December 2020. [ pdf ] [ slide ]
  5. Go Hasegawa, Masayuki Murata, Yoshihiro Nakahira, Masayuki Kashima, and Shingo Ata, “Optimizing functional split of baseband processing on TWDM-PON based fronthaul network,” in Proceedings of The 16th International Conference on Mobility, Sensing and Networking (IEEE MSN 2020), December 2020. [ pdf ] [ slide ]
  6. Takio Uesugi, Yoshinobu Shijo, and Masayuki Murata, “Design and Evaluation of Privacy-preserved Supply Chain System based on Public Blockchain,” 2020 International Conference on Big Data and Blockchain (ICBDB 2020), November 2020. (Best Paper Award) [ pdf ] [ slide ]
  7. Yuichi Ohsita, and Masayuki Murata, “Predictive traffic engineering incorporating real-world information inspired by the cognitive process of the human brain,” in Proceedings of International Conference on Emerging Technologies for Communications, December 2020.
  8. Daichi Kominami, Yohei Hasegawa, Kosuke Nogami, Hideyuki Shimonishi, Masayuki Murata, “Bayesian-based channel quality estimation method for LoRaWAN with unpredictable interference,” in Proceedings of IEEE Global Communications Conference (GLOBECOM), December 2020. [ pdf ] [ slide ]
  9. Mami Sugiura, Shinichi Arakawa, Masayuki Murata, Satoshi Imai, Toru Katagiri, and Motoyoshi Sekiya, “Utility analysis of API economy based on multi-sided platform markets model,” in Proceedings of International Conference on Digital Ecosystems and Technologies (ICDET2020), (Paris), pp. 1306–1311, October 2020. (Best Presentation Award) [ pdf ] [ slide ]
  10. Masaaki Yamauchi, Yuichi Ohsita, and Masayuki Murata, “Platform Utilizing Others’ Behavior Data to Detect Anomalous Operation Hiding Private Information,” in Proceedings of 7th IEEE International Conference on Consumer Electronics, (Taoyuan, Taiwan), September 2020. [ pdf ] [ slide ]
  11. Masaki Aida, Ayako Hashizume, Chisa Takano and Masayuki Murata, “Polarization model of online social networks based on the concept of spontaneous symmetry breaking,”' in Proceedings of The 32nd International Teletraffic Congress (ITC 32), September 22-24, 2020.
  12. Masaaki Yamauchi, Masahiro Tanaka, Yuichi Ohsita, Masayuki Murata, Kensuke Ueda, and Yoshiaki Kato, “Modeling Home IoT Traffic using Users’ in-Home Activities for Detection of Anomalous Operations,” in Proceedings of 32nd International Teletraffic Congress (ITC32) - PhD workshop, (Osaka, Japan), September 2020. [ pdf ] [ slide ]
  13. Tatsuya Otoshi, Shin’ichi Arakawa, Masayuki Murata, Kai Wang, Takeo Hosomi, and Toshiyuki Kanoh, “Method for flexible updating of attractors in virtual network topology control with Bayesian attractor model,” in Proceedings of 1st IEEE International Conference on Human-Machine Systems, September 2020. [ pdf ] [ slide ]
  14. Shuya Abe, Go Hasegawa, and Masayuki Murata, “Performance analysis of periodic cellular-IoT communication with immediate release of radio resources,” in Proceedings of IEEE CQR 2020, May 2020. (Best Paper Award) [ pdf ] [ slide ]

講演 / Lecture

  1. 荒川伸一, “サイバー世界を創出する情報ネットワークシステム,” 第10 回CiNet シンポジウム脳サイバーインタフェースの拓く未来, November 2020.
  2. Masayuki Murata, “Towards Bio- and Brain-Inspired Computing and Networking: Fluctuation-induced Yuragi Control and Learning,” The 2nd International Workshop on Intelligent Cloud Computing and Networking (IEEE ICCN 2020), July 2020. (Keynote Speech)

口頭発表(国内研究会など)/ Domestic Conference

  1. 大下裕一, 村田正幸, “脳の情報処理基盤にもとづく交通状況認知とネットワーク制御の連携方法に関する一検討,” 電子情報通信学会技術研究報告, March 2021. [ pdf ]
  2. 大下裕一, 村田正幸, “脳の情報処理機構にもとづく車両への経路提案手法,” 電子情報通信学会技術研究報告, March 2021. [ pdf ]
  3. 荒川伸一, 杉浦満美, 村田正幸, “API エコシステムにおけるプラットフォーム効用の最大化戦略,” 電子情報通信学会総合大会, March 2021. [ pdf ]
  4. 高木詩織, 荒川伸一, 村田正幸, “コア/ペリフェリー構造に基づく環境適応性をもつネットワークサービスの実装と評価,” 電子情報通信学会ネットワークシステム研究会, March 2021. [ pdf ]
  5. Fan Yun, Toshiki Shibahara, Yuichi Ohsita, Daiki Chiba, Mitsuaki Akiyama, Masayuki Murata, “Understanding machine learning model updates based on changes in feature attributions,” 情報処理学会CSEC 研究会, December 2020. [ pdf ] [ slide ]
  6. 八千古嶋龍, 荒川伸一, 荻野長生, 北原武, 長谷川剛, 村田正幸, “4G セルラーシステムを用いたV2X プラットフォーム,” 電子情報通信学会デジタルサービス・プラットフォーム技術特別研究専門委員会, November 2020. [ slide ]
  7. 長谷川剛, 村田正幸, 中平佳裕, 鹿嶋正幸, 阿多信吾, “TWDM-PON における遅延及びサーバ性能制約を考慮したベースバンド処理機能の配置最適化,” 電子情報通信学会技術研究報告(CQ2020-31), vol. 120, pp. 51–56, July 2020. [ pdf ] [ slide ]
  8. 西澤夏実, 大歳達也, 村田正幸, “動画視聴ユーザを対象とした画質変化の前後における認知バイアスのモデル化,” 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, July 2020. [ pdf ] [ slide ]
  9. 生駒昭繁, 大下裕一, 村田正幸, “リソース分離型マイクロデータセンターにおけるリモートメモリ活用手法の性能評価と考察,” 電子情報通信学会技術研究報告(IN2020-6), vol. 120, pp. 25–30, May 2020. [ pdf ] [ slide ]

博士論文・修士論文・特別研究報告 / Thesis

修士論文 / Master's Thesis

  1. Koki Nishida, “Fast and accurate virtual network reconfiguration using two-pathway bayesian attractor model: Design and evaluation,” Master’s thesis, Graduate School of Information Science and Technology, Osaka University, January 2021. [ pdf ] [ slide ]
  2. Mami Sugiura, “On the effectiveness of growth and profit strategies for platform providers in API economy based on multi-sided model,” Master’s thesis, Graduate School of Engineering, Osaka University, January 2021. [ pdf ] [ slide ]
  3. Kasumi Kitao, “Real-time QoE estimation method using EEG for video delivery services,” Master’s thesis, Graduate School of Information Science and Technology, Osaka University, January 2021. [ pdf ] [ slide ]
  4. Fan Yun, “Understanding machine learning model updates in malware detection systems based on feature attribution changes,” Master’s thesis, Graduate School of Engineering, Osaka University, January 2021. [ pdf ] [ slide ]
  5. Semin An, “Network resource allocation using real-world traffic flow information inspired by human brain cognition process,” Master’s thesis, Graduate School of Engineering, Osaka University, January 2021. [ pdf ] [ slide ]
  6. Yukiko Tsunoda, “On an adversarial example attack by partially monitoring and tampering input features to machine learning models; its possibilities and countermeasures,” Master’s thesis, Graduate School of Information Science and Technology, Osaka University, January 2021. [ pdf ] [ slide ]

特別研究報告 / Bachelor's Thesis

  1. 佐藤広章, “三次元点群データを用いた実空間確率場表現に基づく物体推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 2021. [ pdf ] [ slide ]
  2. 内田悠斗, “実空間確率場表現を利用したネットワーク型仮想現実サービスのためのレンダリング手法の提案と評価,” 大阪大学基礎工学部情報科学研究科特別研究報告”, February 2021. [ pdf ] [ slide ]
  3. 山田諒真, “IoT プラットフォーム連携に基づく実世界センシングによる実環境の異常検知システムの実装と評価,” 大阪大学基礎工学情部報科学科特別研究報告, February 2021. [ pdf ] [ slide ]
  4. 木村一貴, “クラウド‐エッジ間連携による条件付き確率場を用いた実世界のリアルタイム推定手法,” 大阪大学基礎工学部情報科学科特別研究報告, February 2021. [ pdf ] [ slide ]
  5. 細川健, “ゆらぎ学習を用いた生理学的データのマルチモーダル統合処理による精神的な負荷の推定手法,” 大阪大学基礎工学情部報科学科特別研究報告, February 2021.