Faculty Profiles - DOKI, Shinji

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Study on Clustering Method of Driving Behavior Data Based on Variational Auto Encoder and Coupled-GP-HSMM International conference

Hashimoto, K; Yanagihara, D; Kuniyuki, H; Doki, K; Funabora, Y; Doki, S

2022 IEEE 20TH INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN) 2022 IEEE International Conference on Industrial Informatics (INDIN)

Event date： 2022

Language：English Presentation type：Oral presentation (general)

In Japan, where the population is aging, traffic accidents caused by elderly drivers have become a social problem. The main cause of the accident is a decline in cognitive ability, and there is an urgent need to develop technology for early detection of decline in the ability. The authors have been developing a technology to evaluate the cognitive ability of a driver from the driving behavior data. In the driving behavior data, there are some scenes where the cognitive ability can be evaluated and some scenes where the cognitive ability cannot be evaluated. Therefore, in this paper, we propose a clustering method for driving behavior data. Here, it is considered that the cognitive ability is the accuracy of the operation for the surrounding situation, and it is useful to cluster the relationship pattern between the situation and the operation for the driving behavior data as a group. In this method, Coupled-GP-HSMM and Convolutional Variational Auto Encoder are applied as a time series clustering method. This method realizes clustering of the relationship pattern between the time-series data representing the situation and the time-series data representing the operation.

DOI： 10.1109/INDIN51773.2022.9976135

Scopus

Control Method of Dual Parallel Surface-Mounted Permanent-Magnet Synchronous Motor Systems with Different Parameters Using Single Inverter International conference

Park, C; Doki, S

2022 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE) 2022 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022

Event date： 2022

Language：English Presentation type：Oral presentation (general)

This paper presents a control method for different dual-parallel-SPMSMs systems with a single inverter. Disturbance causes a torque difference between the two motors when one inverter drives two SPMSMs. This may lead to the motor's mechanical and electrical resonance. Several damping control methods have been proposed to suppress this resonance. However, such methods consider that the parameters of the two motors are identical. When one inverter controls two motors with different parameters, the damping control performance deteriorates. Additionally, the motor's resonance sound and motor current ripple increase. To solve these problems, this paper proposes a control method for dual parallel Surface Permanent Magnet Synchronous Motor (SPMSM) drive systems with a single inverter.

DOI： 10.1109/ECCE50734.2022.9947789

Scopus

Current Vector Control System Based on a New Discrete dq-Axis IM Model for High Speed Drive International conference

Takeuchi, T; Doki, S

2022 INTERNATIONAL POWER ELECTRONICS CONFERENCE (IPEC-HIMEJI 2022- ECCE ASIA) 2022

Implementation of Vector Control System On Multi-Core Processor by Using Model-Based Parallelization Tool International conference

Kim, J; Sagae, S; Edahiro, M; Honda, S; Doki, S

2022 INTERNATIONAL POWER ELECTRONICS CONFERENCE (IPEC-HIMEJI 2022- ECCE ASIA) 2022

Stability Improvement Method of Position Sensorless Control for Single Inverter Dual Parallel IPMSMs Drive System by Using Signal Injection International conference

Park, C; Doki, S

2022 INTERNATIONAL POWER ELECTRONICS CONFERENCE (IPEC-HIMEJI 2022- ECCE ASIA) 2022

Operator Assistance for Remote Driving with Augmented Image based on Gaze Information International conference

Doki, K; Suzuki, K; Funabora, Y; Doki, S; Yano, Y

2022 IEEE 31ST INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE) 2022 IEEE International Symposium on Industrial Electronics

Event date： 2022

Language：English Presentation type：Oral presentation (general)

The authors have been aiming to realize a remote driving system with an HMD(Head Mounted Display) and a 360-degree camera to decrease the task load of the operator. Therefore, we have been tackling an operator assistance method of remote driving applying Augmented Reality(AR). In the previously proposed methods, AR video presented to the operator is generated based on sensing information of 3D LiDAR to deal with the communication delay. In this paper, a new generation method of AR image is proposed, in which Gaze information of the operator is used to create a 3D object to draw his attention to a hazard that might cause a traffic accident. The usefulness of the proposed method has been evaluated based on the results of the experiments using a driving simulator which has a scenario of a person jumping out from a park.

DOI： 10.1109/ISIE51582.2022.9831663

Scopus

Performance Evaluation of Startup and Driving Strategy at Overall Speed with Extended ElectroMotive Force for Position Sensorless Permanent Magnet Synchronous Motor International conference

Hao, RJ; Kozakura, T; Doki, S

2022 INTERNATIONAL POWER ELECTRONICS CONFERENCE (IPEC-HIMEJI 2022- ECCE ASIA) 2022

布状アクチュエータを用いた腕部に対する感覚想起の検討

坂井佑輔, 中川滉貴, 舟洞佑記, 青山忠義, 道木慎二

第21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 2021.12.17 計測自動制御学会システムインテグレーション部門

複数センサで推定した相対移動の類似性に基づく自律移動ロボットのセンサ有用性評価

森川祥平, 舟洞佑記, 道木慎二, 道木加絵, 山隅允裕

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 2021.12.15 計測自動制御学会システムインテグレーション部門

UAV を用いた橋梁の外観点検用画像収集自動化の実現に向けたカメラジンバル活用のための斜め方向撮影の空間分解能検証

羽根田雅也, 舟洞佑記, 道木慎二, 道木加絵

第21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 2021.12.16 計測自動制御学会　システムインテグレーション部門

PMSMを用いたねじり振動制御装置の開発

河原祥吾, 平沢和也, 井上剛志, 赤塚弘恭, 道木慎二, 高木賢太郎

Dynamics and Design Conference 2021（D&D2021） 2021.9.17

E3-6 6 軸力覚センサを用いた布状アクチュエータの固定状態変化による発揮力特性変化計測

中川滉貴, 舟洞佑記, 道木慎二

令和三年度電気・電子・情報関係学会東海支部連合大会 2021.9.7 電気学会東海支部

E2-4 全身装着型ロボットにおける接触状態を直接制御する手法の検討

正岡真一, 舟洞佑記, 道木慎二, 道木加絵

令和三年度電気・電子・情報関係学会東海支部連合大会 2021.9.7 電気学会東海支部

二重三相巻線モータ駆動システムにおけるモデル予測制御を用いたコンデンサ電流低減法の提案

鈴木昭義, 道木慎二, 今井幸司, 近藤孔亮, 青木康明

2021年電気学会産業応用部門大会 2021.8.27 電気学会産業応用部門

拡張誘起電圧における位置センサレス制御を用いた永久磁石同期モータフリーラン状態からの再起動法の性能評価

ハオロンジャオ・小櫻崇雅・道木慎二

2021年電気学会産業応用部門大会 2021.8.25 電気学会産業応用部門

高周波電流重畳を用いた SynRM の低速時の位置センサレス制御におけるインダクタンス誤差の影響

林　立喜, 片岡浩輝, 冨田睦雄, 長谷川　勝, 道木慎二

2021年電気学会産業応用部門大会 2021.8.26 電気学会産業応用部門

弱め界磁領域でインバータ過変調領域まで動作可能な多相電動機のベクトル制御系

赤塚弘恭, 道木慎二

2021年電気学会産業応用部門大会 2021.8.27 電気学会産業応用部門

視線情報に基づく拡張現実による遠隔運転支援 ―有効視野の周辺領域へのAR情報提示―

道木加絵, 鈴木建哉, 舟洞佑記, 道木慎二, 鳥井昭宏, 元谷卓

ロボティクス・メカトロニクス講演会2021 2021.6 一般社団法人日本機械学会ロボティクス・メカトロニクス部門

6軸力覚センサを用いた布状アクチュエータの発揮力計測

中川滉貴, 舟洞佑記, 道木慎二

ロボティクス・メカトロニクス講演会2021 2021.6 一般社団法人日本機械学会ロボティクス・メカトロニクス部門

UAVを用いた橋梁の外観自動点検における飛行可能性を考慮した撮影計画

羽根田雅也, 舟洞佑記, 道木慎二, 道木加絵

ロボティクス・メカトロニクス講演会2021 2021.6 一般社団法人日本機械学会ロボティクス・メカトロニクス部門

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<DOKI, Shinji>

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