研究業績

業績リスト(2023年)

＜学術論文＞

  • Takahiro Sato, Kota Watanabe, "A Data-Driven Automatic Design of Induction Motors Based on Tree Search and Reinforcement Learning Considering Multiple Objectives," IEEE Transactions on Magnetics, vol. 60, no. 3, 2024, art. no 8201204.
  • Zhen Sun, Hiroto Otsuki, Takahiro Sato, Kota Watanabe, "Topology Optimization of a Switched Reluctance Machine by Electromagnetic-Structural Multiphysics Finite Element Analysis," IEEE Transactions on Magnetics, vol. 60, no. 3, 2024, art. no 8100205.
  • Zhen Sun, Takahiro Sato, Kota Watanabe, "Topology optimization and parameter optimization hybridized by mesh smoothing for IPMSM design," COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, Vol. 42, No. 5, pp. 1131-1145, 2023.
  • Zhen Sun, Takahiro Sato, Kota Watanabe, "An efficient combination of topology optimization and parameter optimization for electromagnetic devices," International Journal of Applied Electromagnetics and Mechanics, Vol. 71, No. S1, pp. 47-56, 2023.
  • Takahiro Sato, Kota Watanabe, "An Evolutional Topology Optimization of Electric Machines for Local Shape Modification and Visualization of Sensitivity Distribution Based on CMA-ES," IEEJ Transactions on Electrical and Electronic Engineering, Vol. 18, No. 2, pp. 286-293, 2023.

＜国際学会発表＞

  • Takahiro Sato, "NUMERICAL SIMULATION OF WAVE ENERGY CONVERTER BASED ON STOCHASTIC RESONANCE AND VARIABLE MAGNETIZATION," 21st International Symposium on Applied Electromagnetics and Mechanics, OA-A1: 4, Nov., 2023.
  • Takahiro Sato, Kota Watanabe, "A Topology Optimization of on-chip Planer Inductor Based on Evolutional on/off Method and CMA-ES," OIPE2023, ID111, Sep., 2023.
  • Takahiro Sato, Kota Watanabe, "A Data-driven Automatic Design Method of Induction Motors Based on Tree Search and Reinforcement Learning Considering Multiple Objectives," Compumag2023, PC-M1-1, May., 2023.
  • Yuki Hidaka, Takeki Miyamura, Takahiro Sato, Kengo Sugahara, "Topology Optimization Method for Electrical Machines Using QUBO-type Response Surface and Quantum Annealing," Compumag2023, PA-A3-11, May., 2023.
  • Takahiro Sato, Hidenori Sasaki, Yuki Sato, "A Fast Physics-informed Neural Network Based on Extreme Learning Machine for Solving Magnetostatic Problems," Compumag2023, PB-M2-4, May., 2023.

＜国内学会発表＞

  • 佐藤孝洋，"木探索型強化学習と進化計算の併用による強い変数間依存性のあるMixed-Integer問題のデータ駆動型最適化," 進化計算シンポジウム2023, P2-05, Dec., 2023.
  • 髙橋征也, 佐藤孝洋, 泉井一浩, 渡邉真也，"トポロジー最適化におけるGANによる事前知識活用の検討," 進化計算シンポジウム2023, P4-10, Dec., 2023.
  • 佐藤孝洋，"機械学習を応用した電気機器の自動設計に向けて," 令和5年度 電気・情報関係学会北海道支部連合大会, Oct., 2023(招待講演).
  • 佐藤孝洋，"2質量系カオス振動発電機の電磁界解析による性能評価," 第36回計算力学講演会（CMD2023）, OS-1708, Oct., 2023.
  • 佐藤孝洋,渡邉真也，"基底縮約を用いた永久磁石同期モータの磁石分布トポロジー最適化に関する検討," 2023年 電気学会 電子・情報・システム部門大会, MC2-3, Sep., 2023.
  • 佐藤孝洋，"パラメトリック関数としてガウス過程回帰を用いた電気機器トポロジー最適化法," 電気学会静止器回転機合同研究会, SA23066,RM23065, Aug., 2023.
  • 佐藤孝洋, 佐藤佑樹, 佐々木秀徳，"Deep Operator Networkを用いた応答局面作成に関する検討," 電気学会静止器回転機合同研究会, SA23067,RM23066, Aug., 2023.
  • 佐々木秀徳, 岩田和久, 佐藤孝洋, 佐藤佑樹，"畳込み処理を活用したDeep Operator Networkによるモータトルクマップ推定に関する検討," 電気学会静止器回転機合同研究会, SA-23-079, RM-23-078, Aug., 2023.
  • 佐藤孝洋，"確率共振系を利用した浮体式波力発電機に関する基礎検討," 令和５年電気学会全国大会, 243-B2, Mar., 2023.
  • 佐藤孝洋，佐々木秀徳，佐藤佑樹, "Extreme Learning Machineを用いた磁界系Physics-informedニューラルネットワークの検討," 電気学会静止器回転機合同研究会, SA-23-023,RM-23-023, Mar., 2023.
  • 日高勇気，宮村武暉，佐藤孝洋，菅原賢悟, "非線形磁気特性を考慮した量子アニーリングによるIPMモータのトポロジー最適化," 電気学会静止器回転機合同研究会, SA-23-027,RM-23-027, Mar., 2023.