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Engineering educational research section Mechanical and Intelligent Engineering Program |
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KAWAMURA Ryusuke
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Degree 【 display / non-display 】
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Doctor (Engineering) ( 2007.2 Osaka Prefecture University )
Research Areas 【 display / non-display 】
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Manufacturing Technology (Mechanical Engineering, Electrical and Electronic Engineering, Chemical Engineering) / Mechanics of materials and materials
Papers 【 display / non-display 】
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Proposal of a Muscle Training Method using EMG Visualization via Machine Learning Reviewed International journal
Yu Oshikawa, Takumi Ishimaru, Shizuki Nokura, Satoshi Ikeda, Kenji Aoki, Kaoru Ohe, Amane Takei, Ryuusuke Kawamura, Makoto Sakamoto
Proceedings of the 2026 International Conference on Artificial Life and Robotics 426 - 429 2026.1
Language：English Publishing type：Research paper (scientific journal) Publisher：Proceedings of the 2026 International Conference on Artificial Life and Robotics
Strength training is essential for maintaining health and building an attractive physique, yet many people struggle to stick with it. One reason for this is that they fail to feel the effects of strength training. To maximize the effects of strength training, mastering proper form is essential. Therefore, I embarked on this research to reduce the number of people who quit strength training by visualizing muscle load in real time during workouts.We are developing a system that uses machine learning to visualize muscle load from user form, enabling muscle load visualization without requiring electromyography. At present, it is possible to estimate muscle load, but the accuracy of this estimation is low. Therefore, we are currently experimenting to improve the accuracy of muscle load estimation.
Other Link： https://alife-robotics.co.jp/members2026/icarob/
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Broadening Access-to Creative Experience with MR 3D Painting Reviewed International journal
Takumi Ishimaru, Yu Oshikawa, Shizuki Nokura, Satoshi Ikeda, Kenji Aoki, Kaoru Ohe, Amane Takei, Ryuusuke Kawamura, Makoto Sakamoto
Proceedings of the 2026 International Conference on Artificial Life and Robotics 421 - 425 2026.1
Language：English Publishing type：Research paper (scientific journal) Publisher：Proceedings of the 2026 International Conference on Artificial Life and Robotics
Access to arts experiences varies by income and locality, creating an experience divide. We present a low-barrier mixed-reality (MR) 3D-painting system on Meta Quest 3 that renders strokes in the user’s surrounding space in passthrough MR. We conducted two complementary studies: an in-the-wild festival study with local children (MR 3D free creation) and a controlled study with university students enabling within-participant comparisons across free 2D drawing, free 3D drawing (with depth), and prompted 3D drawing. After each condition, participants rated immersion, accomplishment, perceived creativity, self-efficacy, intention to continue, and usability (plus two free creation items) on 5-point Likert scales, and collaboration was assessed in paired tasks. We report condition-wise medians and within-participant median differences. Results suggest that MR can deliver meaningful creative experiences with minimal setup in everyday spaces and inform how task framing supports depth-oriented 3D creation.
Other Link： https://alife-robotics.co.jp/members2026/icarob/
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Unsupervised Defect Detection for Automatic Shiitake Sorting Reviewed International journal
Kenji Aoki, Kaoru Ohe, Amane Takei, Ryuusuke Kawamura, Makoto Sakamoto
Proceedings of the 2026 International Conference on Artificial Life and Robotics 430 - 433 2026.1
Language：English Publishing type：Research paper (scientific journal) Publisher：Proceedings of the 2026 International Conference on Artificial Life and Robotics
Automated shiitake sorting faces severe data imbalance (1,731 good vs. 241 defective images) and annotation difficulties. We compared data augmentation and unsupervised detection. First, augmenting scarce defective data with GANs failed; models either lost subtle defect features (e.g., discoloration) during pre-processing or overfit to augmentation patterns, proving label-less augmentation difficult. We then shifted to unsupervised anomaly detection (VAE+OC-SVM) trained only on good data. This model achieved perfect Recall (100%) for the defective class, identifying all bad items without a single miss. This Recall 100% capability demonstrates its high practical utility as a primary screening tool for quality control, particularly where preventing defective product leakage is prioritized (albeit with low precision). This approach highlights a path for automated sorting in data-scarce agricultural settings and suggests high transferability to other products (e.g., tomato, potato) with similar data constraints.
Other Link： https://alife-robotics.co.jp/members2026/icarob/
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Investigation of Features for Mango Yield Prediction using Long Short-Term Memory Networks Reviewed International journal
Hiroshi Kurita, Kazunori Yamaguchi, Ryuusuke Kawamura, Makoto Sakamoto
Proceedings of the 2026 International Conference on Artificial Life and Robotics 457 - 461 2026.1
Authorship：Corresponding author Language：English Publishing type：Research paper (scientific journal) Publisher：Proceedings of the 2026 International Conference on Artificial Life and Robotics
In mango cultivation in Miyazaki Prefecture, much of the production management relies on the empirical rules and intuitive judgments of agricultural workers. This study predicts daily mango yield using a Long Short-Term Memory (LSTM) network model and investigates the impact of explanatory variables on prediction accuracy. A model developed using weather and harvest data from 2017 to 2024 demonstrated an approximate one-day error in predicting the peak harvest date; however, the overall trend in predicted yield closely aligned with the observed data. Through a comparison of feature selection, excluding unnecessary variables resulted in the highest prediction accuracy, demonstrating the importance of appropriate variable selection.
Other Link： https://alife-robotics.co.jp/members2026/icarob/
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Tensile Properties of HDPE/Microencapsulated Paraffin Composites Evaluated by Tensile Testing International journal
Soma Orimoto, Yasutaka Kai, Koshi Torihara and Ryuusuke Kawamura
Proceedings of the International Joint Conference on Advanced Mechatronics 2025 48 - 49 2025.11
Authorship：Corresponding author Language：English Publishing type：Research paper (international conference proceedings) Publisher：Proceedings of the International Joint Conference on Advanced Mechatronics 2025
This study has fabricated composite sheets using microencapsulated paraffin (MPCM) and high density polyethylene (HDPE) to address the thermal issues of mobile devices. The fabricated sheets demonstrate a temperature rise suppression effect of approximately 2–3°C compared to pure HDPE. However, the addition of MPCM increases the material's brittleness, and as the MPCM content increases, tensile strength and elongation at
break decrease. This deterioration in mechanical properties has been attributed to internal voids and MPCM agglomerates.
Books 【 display / non-display 】
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Ryuusuke Kawamura, Kozo Onoue, Yoshinori Nagase, Shigeki Tomomatsu（ Role： Joint author , Experimental and Analytical Examination in Solid Sensible Cylindrical Heat Storage Block Consisted of Ferronickel Slag）
Springer Nature Switzerland 2019
Total pages：204 Responsible for pages：75-86 Language：English Book type：Scholarly book
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大学院材料力学入学試験問題集2018―主要大学機械工学系大学院材料力学入試問題集―
畑 俊明，伊藤勝悦，土田栄一郎，須見尚文，辻 知章，小畑良洋，石原正行，河村隆介，森本卓也（ Role： Joint author , 神戸大学 平成29年度）
NPO法人 固体の力学研究会 2018.6
Language：Japanese Book type：Textbook, survey, introduction
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大学院材料力学入学試験問題集2017―主要大学機械工学系大学院材料力学入試問題集―
畑 俊明，伊藤勝悦，土田栄一郎，須見尚文，辻 知章，小畑良洋，石原正行，河村隆介，森本卓也（ Role： Joint author , 神戸大学 平成28年度）
NPO法人 固体の力学研究会 2017.6
Language：Japanese Book type：Textbook, survey, introduction
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Dynamics and Control of Advanced Structures and Machines
Ryuusuke Kawamura, Yoshinori Nagase, Shigeki Tomomatsu（ Role： Joint author , Effect of Material Layers in a Compound Circular Receiver Model Design for Concentrating Solar Power）
Springer International Publishing Switzerland 2017
Total pages：233 Responsible for pages：125-136 Language：English Book type：Scholarly book
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大学院材料力学入学試験問題集2016―主要大学機械工学系大学院材料力学入試問題集―
畑 俊明，伊藤勝悦，土田栄一郎，須見尚文，辻 知章，小畑良洋，石原正行，河村隆介，森本卓也（ Role： Joint author , 神戸大学 平成27年度）
NPO法人 固体の力学研究会 2016.6
Language：Japanese Book type：Textbook, survey, introduction
MISC 【 display / non-display 】
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特別講座：機械系大学院入試問題演習（26）材料力学：神戸大学2021年夏季実施より Reviewed
河村 隆介
機械の研究 74 ( 11 ) 911 - 918 2022.11
Authorship：Lead author, Corresponding author Language：Japanese Publishing type：Article, review, commentary, editorial, etc. (scientific journal) Publisher：㈱養賢堂
本稿では，神戸大学大学院工学研究科機械工学専攻2020年夏季実施の問題IIに対する解答者のコメント，解法のための公式および解答を提示する．
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特別講座：機械系大学院入試問題演習（24）材料力学：神戸大学2021年夏季実施より Reviewed
河村 隆介
機械の研究 74 ( 10 ) 819 - 824 2022.10
Authorship：Lead author, Corresponding author Language：Japanese Publishing type：Article, review, commentary, editorial, etc. (scientific journal) Publisher：㈱養賢堂
本稿では，神戸大学大学院工学研究科機械工学専攻2020年夏季実施の問題IIに対する解答者のコメント，解法のための公式および解答を提示する．
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河村 隆介，村社 英秋，荻原 英範（株式会社宮防）
酪農宮崎 597 3 - 4 2022.8
Authorship：Lead author Language：Japanese Publishing type：Article, review, commentary, editorial, etc. (other) Publisher：宮崎県経済農業協同組合連合会
遮熱塗料を畜舎屋根に塗布すると、塗膜は太陽光を反射し、畜舎の温度上昇を抑える効果があります。著者らの共同研究の結果によれば、畜舎屋根への遮熱塗装によって畜舎の温度上昇は２～４℃抑えられることが実証されています。ただし、夏季の生乳生産量の改善に及ぼす畜舎屋根への遮熱塗装による効果は明らかになっていませんでした。そこで、畜舎屋根への遮熱塗装による乳量の季節変化を、ニューラルネットワークを用いたシミュレーションによって推定しました。その結果、畜舎屋根への遮熱塗装は、夏季の乳量減少を改善し、生乳生産性を向上させる効果があることがわかりました。
ここでは、その研究成果について紹介します。 -
農畜産関連アイテム エビデンス集
河村 隆介，小林 郁雄
株式会社宮防 商品カタログ 2022.3
Language：Japanese Publishing type：Rapid communication, short report, research note, etc. (scientific journal)
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特別講座：機械系大学院入試問題演習（13）材料力学：神戸大学2020年夏季実施より Reviewed
河村 隆介
機械の研究 73 ( 12 ) 967 - 974 2021.12
Authorship：Lead author, Corresponding author Language：Japanese Publishing type：Article, review, commentary, editorial, etc. (scientific journal) Publisher：㈱養賢堂
本稿では，神戸大学大学院工学研究科機械工学専攻2020年夏季実施の問題IIに対する解答者のコメント，解法のための公式および解答を提示する．
Presentations 【 display / non-display 】
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Investigation of Features for Mango Yield Prediction using Long Short-Term Memory Networks International conference
Hiroshi Kurita, Ryuusuke Kawamura, Kazunori Yamaguchi, Makoto Sakamoto
The 2026 International Conference on Artificial Life and Robotics (ICAROB2026) 2026.1.31
Event date： 2026.1.29 - 2026.2.1
Language：English Presentation type：Oral presentation (general)
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Unsupervised Defect Detection for Automatic Shiitake Sorting International conference
Shizuki Nokura, Leona Kimura, Takumi Ishimaru, Yu Oshikawa, Satoshi Ikeda, Kenji Aoki, Kaoru Ohe, Amane Takei, Ryuusuke Kawamura, Makoto Sakamoto, Kazuhide Sugimoto
The 2026 International Conference on Artificial Life and Robotics (ICAROB2026) 2026.1.31
Event date： 2026.1.29 - 2026.2.1
Language：English Presentation type：Oral presentation (general)
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Proposal of a Muscle Training Method using EMG Visualization via Machine Learning International conference
Yu Oshikawa, Takumi Ishimaru, Shizuki Nokura, Satoshi Ikeda, Kenji Aoki, Kaoru Ohe, Amane Takei, Ryuusuke Kawamura, Makoto Sakamoto
The 2026 International Conference on Artificial Life and Robotics (ICAROB2026) 2026.1.31
Event date： 2026.1.29 - 2026.2.1
Language：English Presentation type：Oral presentation (general)
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Broadening Access to Creative Experiences with MR 3D Painting International conference
Takumi Ishimaru, Yu Oshikawa, Shizuki Nokura, Satoshi Ikeda, Kenji Aoki, Kaoru Ohe, Amane Takei, Ryuusuke Kawamura, Makoto Sakamoto
The 2026 International Conference on Artificial Life and Robotics (ICAROB2026) 2026.1.31
Event date： 2026.1.29 - 2026.2.1
Language：English Presentation type：Oral presentation (general)
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Tensile Properties of HDPE/Microencapsulated Paraffin Composites Evaluated by Tensile Testing International conference
Soma Orimoto, Yasutaka Kai, Ryuusuke Kawamura, Koshi Torihara
International Joint Conference on Advanced Mechatronics 2025 (IJCAM 2025) (On line) 2025.11.28 Faculty of Engineering, University of Miyazaki, Japan & College of Mechanical Engineering, Chongqing University of Technology, China
Event date： 2025.11.28
Language：English Presentation type：Oral presentation (general)
Venue：On line Country：Japan
This study has fabricated composite sheets using microencapsulated paraffin (MPCM) and high-density polyethylene (HDPE) to address the thermal issues of mobile devices. The fabricated sheets demonstrate a temperature rise suppression effect of approximately 2–3°C compared to pure HDPE. However, the addition of MPCM increases the material's brittleness, and as the MPCM content increases, tensile strength and elongation at break decrease. This deterioration in mechanical properties has been attributed to internal voids and MPCM agglomerates.
Awards 【 display / non-display 】
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Best Silver Oral Presenter Award
2025.10 The 9th International Conference on Green Agro-Industry and Bioeconomy (ICGAB 2025) Application of Thermal Energy Strorage into Food Drying Technology
Raditya Helmi Fakhruddin, Mochamad Hermanto, La Choviya Hawa, Yoshinori Nagase, Osamu Ohnishi, Ken Masuya, Ryuusuke Kawamura
Award type：Award from international society, conference, symposium, etc. Country：Indonesia
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Best Oral Presentation Award
2025.9 Conference Chairs of 2025 International Conference on "Physics and Mechanics of New Materials and Their Applications" (PHENMA 2025) Mathematical Analysis of Damped Vibrations of a Piezoelectric Vibration Energy Harvester under Base Excitation
Ryuusuke Kawamura, Yusaku Yoshizako, Yasuhiro Bonkobara, Ryoya Miyasaka
Award type：International academic award (Japan or overseas)
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優秀講演賞 第55回日本機械学会九州学生会学生員卒業研究発表講演会
2024.3 日本機械学会九州支部 弾性体を内蔵した自転車用ギヤクランクの力学的特性に関する研究
甲斐 渉，盆子原 康博，古賀 涼介，河村 隆介，友松 重樹，浜元 陽一郎，浜元 真規子
Award type：Award from Japanese society, conference, symposium, etc. Country：Japan
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優秀講演賞 第54回日本機械学会九州学生会学生員卒業研究発表講演会
2023.3 日本機械学会九州支部 酪農畜舎屋根遮熱塗装による乳量の予測精度の向上
UMMI UMAIRAH BINTI ZURIN，三船滉季，村社英秋，荻原英範，須﨑哲也，河村隆介
Award type：Award from Japanese society, conference, symposium, etc. Country：Japan
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Best PaperAward
2018.9 International Conference on Science, Technology & Education 2018 (ICSTE 2018)
前田順登，長瀬慶紀，友松重樹，福井雄大，赤坂重尭，野村文椰，河村隆介
Award type：Award from international society, conference, symposium, etc. Country：Thailand
「Improving Uniformity ofTemperature Distribution
in Heating Medium of a Solar-Particle Receiver」と題した論文を発表し、優秀であると認められたため、Best PaperAward が授与された．
Grant-in-Aid for Scientific Research 【 display / non-display 】
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BD太陽集光装置のための蓄熱槽を備えた蓄熱粒子循環型熱交換システムの開発
Grant number：22K05007 2022.04 - 2025.03
独立行政法人日本学術振興会 科学研究費基金 基盤研究(C)
河村 隆介，友松 重樹
Authorship：Coinvestigator(s)
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BD太陽集光装置のための蓄熱粒子流動型太陽光レシーバの開発
Grant number：19K05354 2019.04 - 2022.03
科学研究費補助金 基盤研究(C)
Authorship：Coinvestigator(s)
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ビームダウン式太陽集光装置のための固体顕熱蓄熱システムの研究開発
Grant number：15K05680 2015.04 - 2018.03
科学研究費補助金 基盤研究(C)
河村隆介、尾上幸造，長瀬慶紀，友松重樹
Authorship：Principal investigator
本研究では、鉄鋼スラグを蓄熱材料として用いる固体顕熱蓄熱槽の蓄熱特性と高温下での力学的強度を調査する。ビームダウン式太陽集光装置のための固体顕熱蓄熱槽の解析方法と最適設計方法の確立を図る。ビームダウン式太陽集光装置を用いた実験を行い、固体顕熱蓄熱槽を開発し、蓄熱性能及び高温強度を評価し、その有効性について検討する。
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機能性不均質導電構造物の電磁熱誘起振動と電磁熱衝撃の数理解析
Grant number：22560086 2010.04 - 2013.03
科学研究費補助金 基盤研究(C)
Authorship：Principal investigator
本研究は磁場の周期的および衝撃的時間変化により誘起される渦電流損の熱負荷とローレンツ力を同時に受ける不均質導電材料からなる構造物の電磁熱弾性問題の数理解析方法の確立を図り，数値計算による定量的評価を行って，電磁熱弾性応力と変形の準静的挙動，電磁熱誘起振動と電磁熱衝撃の動的応答に及ぼす不均質材料物性の効果の解明を目指すものである．
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機能性不均質柔軟構造物の熱負荷による動的応答と非線形不安定挙動に関する数理解析
Grant number：17560077 2005.04 - 2007.03
科学研究費補助金 基盤研究(C)
谷川義信、河村隆介
Authorship：Coinvestigator(s)
傾斜機能材料(FGMs)や複合材料に代表される機能性不均質弾性体からなる柔軟構造物を対象として，本研究課題は外力や加熱による圧縮負荷を受ける場合の座屈，座屈後という非線形不安定挙動および，外力や加熱の周期的変化を受ける場合の熱誘起振動という動的応答の問題に関する数理解析に取り組もうとしたものである．そして，機能性不均質弾性体からなる種々の柔軟構造モデルの座屈や振動に及ぼす外力や加熱の条件，不均質材料特性および幾何学的形状等の影響を系統的に明らかにしている．
Available Technology 【 display / non-display 】
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機能材料・構造の力学問題解析とその応用
遮熱塗料による温熱環境改善と農業生産性向上，塗装施工技術の開発
太陽熱エネルギー蓄熱技術の開発Home Page： 宮崎大学工学部工学科 機械知能工学プログラム
Related fields where technical consultation is available：材料構造解析，建築環境シミュレーション，熱解析，深層学習
Message：材料と構造の解析・設計，伝熱・建築環境シミュレーションの諸課題，ものづくり・農業・環境分野への深層学習の活用に取り組んでいます。ご気軽にご相談ください。