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JACIII Best Paper and Young Researcher Awards 2020

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JACIII BEST PAPER AWARD 2020

Crystalizing Effect of Simulated Annealing on Boltzmann Machine

Hiroki Shibata, Hiroshi Ishikawa, and Yasufumi Takama
Vol.23 no.3 p.474-484 2019

Hiroki ShibataYasufumi TakamaHiroshi Ishikawa
Hiroki Shibata
Graduate School of System Design, Tokyo Metropolitan University
Yasufumi Takama
Graduate School of System Design, Tokyo Metropolitan University
Hiroshi Ishikawa
Graduate School of System Design, Tokyo Metropolitan University
JACIII Best Paper and Young Researcher Awards 2020

Fig. Dr. Hiroki Shibata received a plaque and a certificate of the JACIII Best Paper Award 2020 on behalf of the authors.

Message from the Winner

It is our honor to receive the JACIII’s Best Paper Award 2020, and we would sincerely like to thank the JACIII editorial office, reviewers, and all who supported this study. The work that received this honor was the “Crystalizing Effect of Simulated Annealing on Boltzmann Machine.” In this work, a method of obtaining an accurate estimate of the posterior distribution of a stacked Boltzmann machine (deep Boltzmann machine) is studied. It applies to simulated annealing the same analogy of the oating zone method that was employed to generate silicon crystals in material science and engineering. Additionally, we investigated the reason behind its capacity for high accuracy, concluding that it comes from the restricting effect of information flow of simulated annealing with non-uniform temperature distribution. Again, we would like to express our appreciation to the JACIII for giving us a chance to publish this work. We hope the results contained in the paper will encourage future scientic work. We will continue to carry out investigations based on these results, further contributing to humanity.


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JACIII YOUNG RESEARCHER AWARD 2020

Swimming Style Classification Based on Ensemble Learning and Adaptive Feature Value by Using Inertial Measurement Unit

Yuto Omae, Yoshihisa Kon, Masahiro Kobayashi, Kazuki Sakai, Akira Shionoya, Hirotaka Takahashi, Takuma Akiduki, Kazufumi Nakai, Nobuo Ezaki, Yoshihisa Sakurai, and Chikara Miyaji
Vol.21 no.4 p.616-631 2017

Yuto OmaeYoshihisa KonMasahiro KobayashiKazuki SakaiAkira Shionoya
Yuto Omae
Department of Industrial Engineering and Management, College of Industrial Technology, Nihon University
Yoshihisa Kon
Department of Information and Management Systems Engineering, Nagaoka University of Technology
Masahiro Kobayashi
Department of Information and Management Systems Engineering, Nagaoka University of Technology
Kazuki Sakai
Department of Information Science and Control Engineering, Nagaoka University of Technology
Akira Shionoya
Department of Information and Management Systems Engineering, Nagaoka University of Technology

Hirotaka TakahashiTakuma AkidukiKazufumi NakaiNobuo EzakiYoshihisa SakuraiChikara Miyaji
Hirotaka Takahashi
Department of Information and Management Systems Engineering, Nagaoka University of Technology
Takuma Akiduki
Toyohashi University of Technology
Kazufumi Nakai
National Institute of Technology, Toba College
Nobuo Ezaki
National Institute of Technology, Toba College
Yoshihisa Sakurai
Sports Sensing Co., LTD.
Chikara Miyaji
Department of Creative Informatics, The University of Tokyo
JACIII Best Paper and Young Researcher Awards 2020

Fig. Dr. Yuto Omae holding a plaque of the JACIII Young Researcher Award 2020.

Message from the Winner

I am honored to receive the JACIII Young Researcher Award 2020 and grateful to the JACIII editorial board/office, reviewers, and co-authors of our paper. In this paper, I present a method of classifying swimming styles that is based on Random Forest and Out-of-Bag features selection and uses a single inertial sensor attached to a swimmer. I also develop a support system for swimmers. I hope that our system helps many swimmers to improve their performance. If the paper interests you, please read it. Beside this, I am interested in using adaptive data analysis methods, including machine learning and artificial intelligence, on various kinds of data, such as signals, images, and natural languages.
I have been an Assistant Professor in the Department of Industrial Engineering and Management, College of Industrial Technology, Nihon University, Japan since April 2019. Because there are many students interested in soft computing at this institute, I teach them various soft computing methods. I hope that my activities and research help to make for a better society. I also hope for the continued development of soft computing.


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JACIII YOUNG RESEARCHER AWARD 2020

Approach to Clustering with Variance-Based XCS

Caili Zhang, Takato Tatsumi, Masaya Nakata, and Keiki Takadama
Vol.21 no.5 p.885-894 2017

Caili ZhangTakato TatsumiMasaya NakataKeiki Takadama
Caili Zhang
The University of Electro-Communications
Takato Tatsumi
The University of Electro-Communications
Masaya Nakata
The University of Electro-Communications
Keiki Takadama
The University of Electro-Communications
JACIII Best Paper and Young Researcher Awards 2020

Fig. Mr. Caili Zhang took time out from his busy schedule to participate in the ceremony.


JACIII Best Paper and Young Researcher Awards 2020

Fig. The award ceremony was held online in order to prevent spreading of COVID-19. Winners, editorial boards, and editorial staffs on the online ceremony. First row from left to right: Prof. Kewei Chen and Prof. Fangyan Dong, Prof. Syoji Kobashi, Prof. Kaoru Hirota (Editor-in-Chief), Prof. Keigo Watanabe, and Prof. Kazuteru Miyazaki. Second: Prof. Tomomi Hashimoto (image), Dr. Hiroki Shibata (the BPA winner), Dr. Yuto Omae (the YRA winner), Mr. Caili Zhang (the YRA winner), and Prof. Tomohiro Yoshikawa. Third: Prof. Jinhua She, Dr. Seiki Ubukata, Prof. Yoichiro Maeda, Prof. Yasufumi Takama, and Prof. Masafumi Hagiwara. Fourth: Dr. Zhenni Pan, editorial staffs, and Prof. Kiyohiko Uehara (image).











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Last updated on Oct. 27, 2021