Rihito Shoda and Seiji Miyoshi,
Improved anomaly detection using efficient GAN and mapping consistency,
IEICE Transactions on Information and Systems
,
vol.E108-D, no.10, pp.-, Oct. 2025. (in press)
[2024]
P-55.
Seiji Miyoshi and Yua Yamaguchi,
Exact equality of the MSEs for two types of nonlinear adaptive systems: Saturation and dead-zone types,
IEEE Access
,
vol.12,
pp.181704-181717
, Dec. 2024.
DOI: 10.1109/ACCESS.2024.3510422
P-54.
Kimiko Motonaka and Seiji Miyoshi,
Navigation of a quadrotor based on Voronoi division calculated from local information,
Journal of Robotics and Mechatronics
,
vol.36, no.5,
pp.1072-1081
, Oct. 2024.
DOI: 10.20965/jrm.2024.p1072
P-53.
Koyo Kugiyama and Seiji Miyoshi,
Statistical-mechanical analysis of adaptive Volterra filter for nonwhite input signals,
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences,
vol.E107-A, no.1,
pp.87-95
, Jan. 2024.
DOI: 10.1587/transfun.2023KEP0009
[2023]
P-52.
Kimiko Motonaka and Seiji Miyoshi,
Obstacle avoidance using buffered Voronoi cells based on local information from a laser range scanner,
Advanced Robotics
,
Vol. 37, Issue 1, Jan. 2023.
(Published online: 14 Sep. 2022)
DOI: 10.1080/01691864.2022.2121616
Kimiko Motonaka, Takuya Watanabe, Yufwan Kwon, Masaaki Nagahara, and Seiji Miyoshi,
Control of a quadrotor group based on maximum hands-off distributed control,
International Journal of Mechatronics and Automation (IJMA)
,
Vol.8, No.4, pp.200-207, Jan. 2022.
DOI: 10.1504/IJMA.2021.120377
[2021]
P-49.
Kimiko Motonaka, Tomoya Koseki, Yoshinobu Kajikawa, and Seiji Miyoshi,
Statistical-Mechanical Analysis of Adaptive Volterra Filter with the LMS algorithm,
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences,
Vol.E104-A, No.12,
pp.1665-1674
,
Dec. 2021.
DOI: 10.1587/transfun.2021EAP1013
P-48.
本仲 君子,三好 誠司
BVCを用いたクワッドロータの障害物回避手法の検討,
Obstacle avoidance using BVC for a quadrotor,
日本ロボット学会誌,Vol.39,No.5,
pp.459-462
, June 2021.
DOI: 10.7210/jrsj.39.459
[2020]
P-47.
中川 健人,権 裕煥,本仲 君子,三好 誠司
ボロノイ分割を用いた複数のクワッドロータの相互衝突回避に関する数値的検証,
Numerical verification on collision avoidance of multiple quadrotors using Voronoi
division,
計測自動制御学会論文集,Vol.56,No.1,pp.31-36, Jan. 2020.
[2019]
P-46.
Kimiko Motonaka and Seiji Miyoshi,
Connecting PM and MAP in Bayesian spectral deconvolution by
extending exchange Monte Carlo method and using multiple data sets,
Neural Networks
,
Vol.118, pp.159-166
, Oct. 2019. (available online 15 May 2019.)
DOI: 10.1016/j.neunet.2019.05.004
Kazushi Ikeda, Arata Honda, Hiroaki Hanzawa, and Seiji Miyoshi,
Non-monotonic convergence of online learning algorithms for
Perceptrons with noisy teacher,
Neural Networks
,
Vol.102
,
pp.21-26
,
June 2018. (available online 21 Feb. 2018.)
DOI: 10.1016/j.neunet.2018.02.009
P-43.
邨田朋生,梶川嘉延,三好誠司,
マルチチャネル型能動騒音制御の統計力学的解析,
Statistical-mechanical analysis of multi-channel active noise control,
システム制御情報学会論文誌
,
Vol.31, No.5, pp.184-190, May 2018.
P-42.
寺内清訓,本仲君子,梶川嘉延,三好誠司,
能動騒音制御の適応速度とその評価尺度に関する統計力学的解析,
Statistical-mechanical analysis on adaptation rate and its measures of active noise control,
電気学会論文誌C,
Vol.138, No.4,
pp.369-374
, April 2018.
DOI: 10.1541/ieejeiss.138.369
[2017]
P-41.
Takashi Fujii, Hidetaka Ito, and Seiji Miyoshi,
Statistical mechanics of on-line learning using correlated examples and its optimal scheduling,
Journal of the Physical Society of Japan
,
Vol.86, No.8,
084804 (5 pages)
,
July 14, 2017.
DOI: 10.7566/JPSJ.86.084804
P-40.
Takashi Fujii, Hidetaka Ito, and Seiji Miyoshi,
Statistical-mechanical analysis connecting supervised learning and semi-supervised learning,
Journal of the Physical Society of Japan
,
Vol.86, No.6,
063801 (4 pages)
,
May 17, 2017.
DOI: 10.7566/JPSJ.86.063801
Takashi Fujii, Hidetaka Ito, and Seiji Miyoshi,
Statistical-mechanical analysis of semi-supervised learning and its optimal scheduling,
Journal of the Physical Society of Japan
,
Vol.85, No.8,
084802 (6 pages)
,
July 14, 2016.
DOI: 10.7566/JPSJ.85.084802
Takahiro Nabetani and Seiji Miyoshi,
Online learning through moving ensemble teachers
-An exact solution of a linear model-,
Journal of the Physical Society of Japan
,
Vol.83, No.5,
054801 (6 pages)
, April 15, 2014.
DOI: 10.7566/JPSJ.83.054801
Ryota Hasegawa, Ken Takiyama, Masato Okada, and Seiji Miyoshi,
Image segmentation and restoration using switching state-space model
and variational Bayesian method,
Journal of the Physical Society of Japan
,
Vol.81, No.9,
094802 (7 pages)
,
Aug. 2012.
Tatsuya Uezu, Seiji Miyoshi, Mika Izuo, and Masato Okada,
Theory of time domain ensemble on-line learning of
perceptron under the existence of external noise,
Journal of the Physical Society of Japan
,
Vol.76, No.11,
114006 (8 pages)
,
Nov. 2007.
三好誠司,原一之,岡田真人,
オンライン学習理論に基づく単純パーセプトロンの
アンサンブル学習の解析,
電子情報通信学会論文誌 DII,
Vol.J87-D-II, No.7,
pp.1391-1401
, July 2004.
(This paper was selected and translated to
Seiji Miyoshi, Kazuyuki Hara and Masato Okada,
Analysis of ensemble learning using simple perceptrons
based on on-line learning theory,
Systems and Computers in Japan,
John Wiley & Sons, vol.36, no.12, pp.63-74,
Nov. 2005.)
P-7.
Seiji Miyoshi, Hiro-Fumi Yanai, and Masato Okada,
Associative memory by recurrent neural networks
with delay elements,
Neural Networks
,
vol.17, no.1,
pp.55-63
, Jan. 2004.
[arXiv:
cond-mat/0209258
]
[2002]
P-6.
三好誠司,岡田真人,
遅延と切断を有するニューラルネットワークによる連想記憶,
電子情報通信学会論文誌 A,
Vol.J85-A, No.1,
pp.124-133
, Jan. 2002.
(This paper was selected and translated to
Seiji Miyoshi and Masato Okada,
Associative memory by neural networks with delays and pruning,
Electronics and Communication in Japan Part 3:
Fundamental Electronic Science, John Wiley & Sons, vol.86, no.6, pp.48-58,
June 2003.)
三好誠司,池田和司,中山謙二,
基本パーセプトロンの等比学習とその収束条件,
電子情報通信学会論文誌 A,vol.J81-A, no.5,
pp.844-853
, May 1998.
(This paper was selected and translated to
Seiji Miyoshi, Kazushi Ikeda, and Kenji Nakayama,
Geometric learning algorithm for elementary perceptron and its convergence condition,
Electronics and Communication in Japan Part 3:
Fundamental Electronic Science, John Wiley & Sons, vol.82, no.9, pp.29-38,
Sep. 1999.)
P-3.
三好誠司,池田和司,中山謙二,
対称学習によるパターン分類の収束特性,
電子情報通信学会論文誌 A,vol.J81-A,no.3,
pp.361-368
,March 1998.
(This paper was selected and translated to
Seiji Miyoshi, Kazushi Ikeda, and Kenji Nakayama,
Convergence properties of symmetric learning algorithm for
pattern classification,
Electronics and Communication in Japan Part 3:
Fundamental Electronic Science, John Wiley & Sons, vol.82, no.4, pp.18-25,
Apr. 1999.)
早ノ瀬信彦,田村市朗,三好誠司,石川本雄,卯本重郎,
ダイアゴナル形MHD発電機とインバータ送電線連系システムの検討,
電気学会論文誌 B, vol.109, no.7, pp.307-314, July 1989.
(This paper was selected and translated to
Nobuhiko Hayanose, Ichiro Tamura, Seiji Miyoshi, Motoo Ishikawa, and Juro Umoto,
Diagonal-type MHD generator interconnected to the transmission line
through an inverter,
Electrical Engineering in Japan, John Wiley & Sons,
vol.109, no.4, pp.55-63, Apr. 1990.)
Kimiko Motonaka, Shota Inada, and Seiji Miyoshi,
Implementation of mutual collision avoidance algorithm for leader-follower
control of multiple quadrotors,
SICE Annual Conference 2023
,
SaPMT5.7,
Tsu, Mie, Japan, Sept. 9, 2023.
Kimiko Motonaka, Takuya Watanabe, Yufwan Kwon, Masaaki Nagahara, and Seiji Miyoshi,
Application of maximum hands-off distributed control to a quadrotor group,
IEEE International Conference on Mechatronics and Automation (IEEE ICMA 2021)
,
pp.657-662,
Takamatsu, Japan, (Hybrid), Aug.9, 2021.
[This paper was selected for the "Best Paper Award in Automation."]
I-47.
Yasuaki Kuroe, Seiji Miyoshi, Hiroomi Hikawa, Hidetaka Ito,
Kimiko Motonaka, and Yutaka Maeda,
A Synthesis Method of Spiking Neural Oscillators with Considering Asymptotic Stability
2021 International Joint Conference on Neural Networks (IJCNN2021)
,
667 (6 pages),
Shenzhen, China, (Online), July 19, 2021.
I-46.
Yuhwan Kwon, Takumi Kaneko, Yoshihisa Tsurumine, Hikaru Sasaki, Kimiko Motonaka, Seiji Miyoshi, Takamitsu Matsubara,
Combining Model Predictive Path Integral with Kalman Variational Auto-encoder for Robot Control from Raw Images,
2020 IEEE/SICE International Symposium on System Integration
(SII2020)
, pp.271-276,
Honolulu, Hawaii, Jan.13, 2020.
Proceedings paper was published in
Springer International Publishing AG 2016
A. Hirose et al. (Eds.): ICONIP 2016, Part II, LNCS 9948, pp. 28-36, 2016.
DOI: 10.1007/978-3-319-46672-9_4
[This paper was selected for the "Excellent Paper Award."]
I-39.
Norihiro Ishibushi, Yoshinobu Kajikawa, and Seiji Miyoshi(Speaker),
Statistical mechanics of feedforward active noise control,
STATPHYS26
,
Poster presentation P-8-61,
Palais des Congres - Lyon, France, July 18-22, 2016.
Kyouhei Sakai, Yutaka Maeda, Seiji Miyoshi and Hiroomi Hikawa,
Visual feedback robot system via fuzzy control,
Proc.
SICE Annual Conference 2010
,
Taipei, Taiwan, pp.1462-1465, August 21, 2010.
I-27.
Takahiro Yamada, Yutaka Maeda, Seiji Miyoshi and Hiroomi Hikawa,
Simultaneous perturbation particle swarm optimization and FPGA realization,
Proc.
SICE Annual Conference 2010
,
Taipei, Taiwan, pp.3264-3267, August 20, 2010.
I-26.
Hiroomi Hikawa, Seito Yamazaki, Tatsuya Ando, Seiji Miyoshi and Yutaka Maeda,
Comparison of Range Check Classifier and Hybrid Network Classifier for Hand Sign Recognition System,
Proc.
2010 International Conference on Neural Networks (IJCNN2010)
,
Barcelona, Spain, pp.1308-1315, July 19, 2010.
Kazuyuki Hara, Yoichi Nakayama, Seiji Miyoshi, and Masato Okada,
Mutual learning with many linear perceptrons; on-line learning theory,
19th International Conference on Artificial Neural Networks (ICANN2009)
,
Limassol, Cyprus, 14 September, 2009.
Proceedings paper was published in
Lecture Notes in Computer Science (LNCS) 5768, pp.171-180, Springer.
I-23.
Yutaka Maeda, Taku Hiramatsu, Seiji Miyoshi and Hiroomi Hikawa,
Pulse Coupled Oscillator with Learning
Capability Using Simultaneous Perturbation and
Its FPAA Implementation,
Proc.
ICROS-SICE International Joint Conference 2009 (ICCAS-SICE 2009)
,
Fukuoka, Japan, pp.3142-3145, Aug. 20, 2009.
Miyoshi,S. and Okada,M.,
Statistical mechanics of online learning for ensemble teachers,
Proc. Int. Joint Conf. on Neural Networks
(IJCNN2006),
Vancouver
,
Canada
,
pp.1729-1734, July 17, 2006.
(
pdf
,
poster
,
photo
)
Miyoshi,S., Hara,K., and Okada,M.,
Analysis of ensemble learning using simple
perceptrons based on online learning theory,
Proc. Int. Joint Conf. on Neural Networks
(
IJCNN2004
),
Budapest
,
Hungary
,
pp.1151-1156, July 2004.
(
pdf
,
poster
,
photo
)
I-14.
Miyoshi,S., Hara,K., and Okada,M.,
Analysis of ensemble learning using simple perceptrons
based on online learning theory,
Statistical Physics of Disordered Systems and Its Applications
(
SPDSA2004
),
Hayama
, Japan,
July 2004.
(Proceedings paper was published as
Miyoshi,S., Hara,K., and Okada,M.,
Analysis of ensemble learning using simple perceptrons
based on online learning theory,
Progress of Theoretical Physics
,
Supplement
,
No.157
,
pp.270-274
,
Apr. 2005.)
I-13.
Invited talk
Miyoshi,S. and Okada,M.,
A theory of associative memory model with synaptic delay and pruning,
Proc. Symp. on Nonlinear & Linear Information Processing Systems
(NLIPS),
Nagaoka
, Japan,
vol.1 of 1, pp.44-51, Nov. 2002.
(
pdf
,
slide
)
I-12.
Miyoshi,S., Yanai,H.F., and Okada,M.,
Associative memory by recurrent neural networks with delay elements,
Proc. 9th Int. Conf. on Neural Information Processing
(ICONIP'02),
Singapore
,
vol.1 of 5, pp.70-74, Nov. 2002.
(
pdf
,
slide
)
I-11.
Ikeda,K., Miyoshi,S. and Nakayama,K.,
Block-size optimization of block orthogonal projection algorithm for linear dichotomies,
Proc. Int. Conf. on Neural Information Processing (ICONIP'98),
Kitakyushu
, Japan,
pp.1215-1218, Oct. 1998.
I-10.
Ikeda,K., Miyoshi,S. and Nakayama,K.,
Convergence Analysis of Block Orthogonal Projection Algorithm for Linear Dichotomies,
Proc. Int. Symp. on Nonlinear Theory and its Applications
(NOLTA'98),
Le Regent, Crans-Montana,
Switzerland
,
pp.359-362, Sep. 1998.
I-9.
Miyoshi,S., Ikeda,K. and Nakayama,K.,
Convergence properties of symmetric learning algorithm for pattern classification,
Proc. IEEE&INNS Int. Joint Conf. on Neural Networks (IJCNN'98),
Anchorage,
Alaska
, USA,
pp.2340-2345, May 1998.
I-8.
Ikeda,K., Miyoshi,S. and Nakayama,K.,
Conditions for convergence of the normalized LMS algorithm in neural learning,
Proc. Int. Symp. on Nonlinear Theory and its Applications
(NOLTA'97),
Honolulu
,
Hawaii
, USA,
pp.743-746, Nov./Dec. 1997.
I-7.
Miyoshi,S. and Nakayama,K.,
A geometric learning algorithm for elementary perceptron and its convergence analysis,
Proc. IEEE Int. Conf. on Neural Networks
(ICNN'97),
Houston
,
Texas
, USA,
pp.1913-1918, June 1997.
I-6.
Miyoshi,S. and Nakayama,K.,
Probabilistic memory capacity of recurrent neural networks,
Proc. IEEE Int. Conf. on Neural Networks (ICNN'96),
Washington DC
, USA,
pp.1291-1296, June 1996.
(
photo
)
I-5.
Miyoshi,S. and Nakayama,K.,
A recurrent neural network with serial delay elements for memorizing limit cycles,
Proc. IEEE Int. Conf. on Neural Networks (ICNN'95),
Perth,
Australia
,
pp.1955-1960, Nov. 1995.
(
photo
)
I-4.
Hayanose,N., Tamura,I., Miyoshi,S., Ishikawa,M. and Umoto,J.,
Comparison of subsonic and supersonic diagonal type generators combined with synchronous generator, line-commutated inverter and transmission system,
Proc. 10th Int. Conf. on Magnetohydrodynamic Electrical Power Generation,
vol.3, XIII., pp.29-36, Dec. 1989.
I-3.
Hayanose,N., Ishikawa,M., Yoshimura,R., Miyoshi,S. and Umoto,J.,
Application of current source PWM inverter to MHD-transmission system,
Proc. 10th Int. Conf. on Magnetohydrodynamic Electrical Power Generation,
vol.3, XIII., pp.21-28, Dec. 1989.
I-2.
Hayanose,N., Tamura,I., Miyoshi,S., Ishikawa,M. and Umoto,J.,
Gasdynamical behavior of diagonal type MHD generator linked to inverter transmission system,
Proc. AIAA 19th Fluid Dynamics, Plasma Dynamics and Lasers Conference,
AIAA-87-1215, June 1987.
I-1.
Hayanose,N., Ishikawa,M., Miyoshi,S., Tamura,I. and Umoto,J.,
Analysis of interaction between MHD generator and inverter - power transmission system,
Proc. 9th Int. Conf. on MHD, 13.12, Nov. 1986.
岡田真人,原一之,三好誠司,
[チュートリアル講演]
アンサンブル学習,
電子情報通信学会技術研究報告,NC2003-35, pp.7-12, 2003.7
(
pdf
)
I-13.
Invited talk
Miyoshi,S. and Okada,M.,
A theory of associative memory model with synaptic delay and pruning,
Proc. Symp. on Nonlinear & Linear Information Processing Systems
(
NLIPS
),
Nagaoka
, Japan,
vol.1 of 1, pp.44-51, Nov. 2002.
(
pdf
,
slide
)
三好誠司
非線形な未知システムを含む適応信号処理の理論,
A theory of adaptive signal processing with nonlinear unknown system,
電子情報通信学会 非線形問題研究会(大阪大学豊中キャンパス ),
2025.1.29
電子情報通信学会技術研究報告, NLP2024-103(2025-01), pp.59-64
D-207.
井上翔介,本仲君子,三好誠司
複数のUAVが飛行する屋内倉庫環境におけるボロノイ分割とRRT*Connectを用いた衝突回避,
Collision Avoidance Using Voronoi Division and RRT*Connect in an Indoor Warehouse Environment with Multiple UAVs,
第25回計測自動制御学会 システムインテグレーション部門講演会(アイーナ いわて県民情報交流センター)
,
2G4-02(ポスター発表),2024.12.19
D-206.
久保田景,本仲君子,三好誠司
モデル予測経路積分制御によるクワッドロータの移動障害物回避,
Avoidance of a moving obstacle for a quadrotor with Model Predictive Path Integral Control,
第25回計測自動制御学会 システムインテグレーション部門講演会(アイーナ いわて県民情報交流センター)
,
2G4-01(ポスター発表),2024.12.19
D-205.
三好誠司
未知システムが非線形な適応信号処理に関する解析,
An analysis of adaptive signal processing with nonlinear unknown system,
第39回 信号処理シンポジウム(北大)
,
C8-2(口頭発表), 2024.12.18
D-204.
伊原大地,本仲君子,三好誠司
未知システムと適応フィルタが飽和特性を有する適応信号処理システムの解析,
Analysis of adaptive signal processing systems with saturation-type unknown system and adaptive filter,
第39回 信号処理シンポジウム(北大)
,
P2-16(ポスター発表), 2024.12.17
D-203.
庄田理人,本仲君子,三好誠司
マッピングの一貫性を考慮したEfficientGANによる異常検知,
Anomaly detection using efficientGAN with mapping consistency,
第39回 信号処理シンポジウム(北大)
,
P1-07(ポスター発表), 2024.12.17
D-202.
山本敬介,三好誠司
欠損値を含むデータに対する近似的全状態探索と変数選択,
Approximate exhaustive search and feature selection for data with missing values,
第39回 信号処理シンポジウム(北大)
,
P1-06(ポスター発表), 2024.12.17
D-201.
三好誠司,山口結愛
二種類の非線形な適応信号処理システムのMSEの厳密な一致 −飽和型と不感帯型−,
Equality of the MSEs for two types of nonlinear adaptive systems,
電子情報通信学会 信号処理研究会(新潟大学駅南キャンパス ),
2024.6.6
電子情報通信学会技術研究報告, SIP2024-3(2024-06), pp.13-18
D-200.
松山慎之介,本仲君子,三好誠司
小型クワッドロータのカメラ画像とYOLOを用いた移動障害物回避手法の提案,
Moving obstacle avoidance for a small quadrotor using camera images processed by YOLO,
ロボティクス・メカトロニクス講演会 ROBOMECH2024(ライトキューブ宇都宮)
,
2A2-L05(ポスター発表), 2024.5.31
DOI: 10.1299/jsmermd.2024.2A2-L05
三好誠司,
飽和特性を有する適応フィルタの統計力学,
Statistical mechanics of adaptive filtering with saturation,
日本物理学会春季大会(オンライン)
,25aL2-2,2023.3.25
D-185.
岡田健吾,本仲君子,三好誠司,
動的空間における複数のクワッドロータのRRT*FNDによる移動制御,
RRT*FND-based control of multiple quadrotors in dynamic environments,
第23回計測自動制御学会 システムインテグレーション部門講演会(幕張メッセ)
,
3P3-F13, 2022.12.16
D-184.
塩見将貴,久保田景,本仲君子,三好誠司,
風外乱環境下におけるクワッドロータのモデル予測経路積分制御に関する検証,
Verification of model predictive path integral control for a quadrotor under wind disturbances,
第23回計測自動制御学会 システムインテグレーション部門講演会(幕張メッセ)
,
3P3-F12, 2022.12.16
D-183.
三好誠司,
二種類の飽和型適応フィルタに関する解析,
Analysis of two types of saturated adaptive filters,
信号処理シンポジウム(新潟)
,
A16-3, 2022.12.15
三好誠司,
クリッピング型飽和特性を有する適応フィルタの統計力学,
Statistical mechanics of adaptive filtering with clipping saturation,
日本物理学会年次大会(岡山大学,オンライン)
,15aB14-5,2022.3.15
D-178.
塩見将貴,本仲君子,三好誠司,
ドライデンモデルによる風外乱環境下におけるクワッドロータのモデル予測経路積分制御,
An analysis of adaptive filter with clipping-type saturation,
第22回計測自動制御学会 システムインテグレーション部門講演会
(オンライン)
,
1H4-05,2021.12.15
D-177.
三好誠司,
クリッピング型飽和特性を有する適応フィルタの解析,
An analysis of adaptive filter with clipping-type saturation,
信号処理シンポジウム(東京,オンライン)
,
pp.56-61, 2021.11.10
D-176.
久木山航洋,本仲君子,梶川嘉延,三好誠司,
時変な未知システムに対する適応ボルテラフィルタの統計力学的解析,
Statistical-mechanical analysis of adaptive Volterra filter for time-varying unknown system,
信号処理シンポジウム(東京,オンライン)
,
pp.50-55, 2021.11.10
藤田宙,本仲君子, 四方博之,三好誠司,
ガウス過程回帰を用いた大量運動者の心拍データ送信制御法,
Gaussian process-based heart-rate data transmission control for a large number of exercisers,
信号処理シンポジウム(とりぎん文化会館)
,
P17, 2019.11.14
中川健人,権裕煥,本仲君子,三好誠司,
BVCに基づく複数クワッドロータの相互衝突回避手法の検証,
Verification on collision avoidance of multiple quadrotors using buffered voronoi cells,
ロボティクス・メカトロニクス講演会 ROBOMECH2019(広島)
,
2A2-C12, 2019.6.7
D-169.
権裕煥,鶴峯義久,本仲君子,三好誠司,松原崇充,
モデル予測経路積分制御と深層経路コスト予測器による高次元観測モデルベース強化学習,
Model-based RL with High Dimensional Observations using MPPI and Deep Path-cost Predictor,
ロボティクス・メカトロニクス講演会 ROBOMECH2019(広島)
,
2A2-C05, 2019.6.7
D-168.
中川健人,本仲君子,三好誠司,
ボロノイ分割を用いた複数のクワッドロータの相互衝突回避に関する数値的検証,
Numerical verification on collision avoidance of multiple quadrotors using Voronoi division,
第19回 計測自動制御学会
システムインテグレーション部門講演会(SI2018)(大阪工業大学)
,
pp.2216-2218, 2018.12.15
[優秀講演賞と若手奨励賞を受賞]
D-167.
藤田宙,本仲君子, 四方博之,三好誠司,
変化検知手法を用いた大量運動者の心拍データ送信制御法,
Change detection-based heart-rate data transmission control for a large number of exercisers,
信号処理シンポジウム(東京電機大)
,
P-12, pp.57-58, 2018.11.7
権裕煥,本仲君子,松原崇充,三好誠司,
数値実験による情報論的モデル予測制御の性能検証,
Empirical Verification of Model Predictive Control Based on Information Theory,
第62回システム制御情報学会研究発表講演会 (SCI'18.京都テルサ)
,
215-2 (5 pages),2018.5.17
寺内清訓,本仲君子,梶川嘉延,三好誠司,
ANCシステムの適応速度とその評価尺度に関する統計力学的解析,
Statistical-Mechanical Analysis on Adaptation Rate and Its Measures of ANC system,
信号処理シンポジウム(盛岡)
,
A7-3,2017.11.10
D-160.
本仲君子,三好誠司,
交換モンテカルロ法を用いたスペクトル分解の精度に関する検討,
Investigation on performance of spectral decomposition by exchange Monte Carlo,
信号処理シンポジウム(盛岡)
,
A6-2,2017.11.10
D-159.
本仲君子,三好誠司,
複数のデータセットを用いるスペクトル分解と交換モンテカルロ法に関する検討,
Investigation on spectral decomposition using multiple data sets and exchange Monte Carlo,
電子情報通信学会 ニューロコンピューティング研究会(大阪電気通信大学),2017.10.7
電子情報通信学会技術研究報告, Vol.117, No.231, NC2017-24, pp.25-30
Masaki Shiomi, Kimiko Motonaka, and Seiji Miyoshi,
Model predictive path integral control for a quadrotor
in an environment with time-variant wind disturbance,
The 15th international Symposium in Science and Technology at Kansai University,
Japan
2021.8.5-6
E-68.
Koyo KUGIYAMA, Kimiko MOTONAKA, Yoshinobu KAJIKAWA, and Seiji MIYOSHI,
Statistical-Mechanical Analysis of Adaptive Volterra Filter
for Time-Varying Unknown System,
The 15th international Symposium in Science and Technology at Kansai University,
Japan
2021.8.5-6
E-67.
Sora FUJITA, Kimiko MOTONAKA, Hiroyuki YOMO, and Seiji MIYOSHI,
Heart-rate data transmission control using change detection methods for densely-located exercisers,
The 14th international Symposium in Science and Technology at Chulalongkorn University,
Thailand
2019.8.7-9
E-66.
Kento Nakagawa, Yuhwan Kwon, Kimiko Motonaka and Seiji Miyoshi,
Verification of collision avoidance method for multiple quadrotors using
buffered Voronoi cells,
The 14th international Symposium in Science and Technology at Chulalongkorn University,
Thailand
2019.8.7-9
E-65.
Yuhwan Kwon, Kimiko Motonaka, Takamitsu Matsubara, and Seiji Miyoshi,
Empirical Verification of Model Predictive Path Integral Control,
The 14th international Symposium in Science and Technology at Chulalongkorn University,
Thailand
2019.8.7-9
K. Shimonishi, H. Ishihara, and S. Miyoshi,
Singular Value Decomposition and Filtering for Image Processing,
Proc. The 4th International Symposium on Electrical Engineering
and Computer Science, Osaka, Japan,
2017.9.4-6
E-62.
T. Murata, K. Motonaka, Y. Kajikawa, and S. Miyoshi,
Analysis of the FXLMS algorithm for Multi-channel Active Noise Control,
Proc. on 11th International Symposium in Science and Technology,
Kansai University, Japan,
2016.7.26-28
E-61.
K. Terauchi, K. Motonaka, Y. Kajikawa, and S. Miyoshi,
Analysis of Adaptation Rate of the FXLMS Algorithm,
Proc. on 11th International Symposium in Science and Technology,
Kansai University, Japan,
2016.7.26-28
E-60.
K. Shimonishi, K. Motonaka, and S. Miyoshi,
Image Restoration using Singular value Decomposition,
Proc. on 11th International Symposium in Science and Technology,
Kansai University, Japan,
2016.7.26-28
E-59.
K. Matsumoto, K. Motonaka, and S. Miyoshi,
Bayesian Restoration and Segmentation of Poissonian Degraded Image using Region-based Latent Variables,
Proc. on 11th International Symposium in Science and Technology,
Kansai University, Japan,
2016.7.26-28
E-58.
T. Fujii, K. Motonaka, H. Ito, and S. Miyoshi,
Theoretical Analysis of Semi-supervised Learning and Its Optimal Scheduling,
Proc. on 11th International Symposium in Science and Technology,
Kansai University, Japan,
2016.7.26-28
E-57.
N. Ishibushi, K. Motonaka, Y. Kajikawa, and S. Miyoshi,
Theoretical Analysis of LMS Algorithm for Time-Varying Unknown System,
Proc. on 11th International Symposium in Science and Technology,
Kansai University, Japan,
2016.7.26-28
Yamazaki, T. and Miyoshi, S.,
Counting Solution of Constraint Satisfaction Problem using
Replica Exchange Markov Chain Monte Carlo Method,
Proc. on 8th International Symposium in Science and Technology,
p.325, Kansai University, Japan,
2013.8.23
E-54.
Tanaka, K. and Miyoshi, S.,
A Study on Bayesian Image Super-Resolution with a Compound
Markov Random Field and Registration Parameters,
Proc. on 8th International Symposium in Science and Technology,
p.324, Kansai University, Japan,
2013.8.23
E-53.
Kato, H., Okada, M., and Miyoshi, S.,
Statistical mechanical analysis of CDMA communication,
Proc. on 7th International Symposium in Science and Technology,
pp.270-271, Pulau Pinang, Malaysia,
2012.8.30
E-52.
Kayano, K., Hasegawa, R., Takiyama, K., Okada, M., and Miyoshi, S.,
Statistical image processing using switching state-space model and variational Bayesian method,
Proc. on 7th International Symposium in Science and Technology,
pp.200-203, Pulau Pinang, Malaysia,
2012.8.30
Kato, H., Okada, M., and Miyoshi, S.,
Self-Consistent Signal-to-Noise Analysis of CDMA Communication,
International Symposium in Science and Technology at Kansai University 2011,
p.263, IT-P-09,
2011.8.26
E-48.
Kayano, K., Hasegawa, R., Okada, M., and Miyoshi, S.,
Image segmentation and restoration by variational Bayesian method and MCMC,
International Symposium in Science and Technology at Kansai University 2011,
p.262, IT-P-08,
2011.8.26
E-47.
Kinoshita, T., Okada, M., and Miyoshi, S.,
Fast Bayesian Image Super-Resolution and its Performance Evaluation,
International Symposium in Science and Technology at Kansai University 2011,
p.261, IT-P-07,
2011.8.26