single-award.php
JACIII Best Paper and Young Researcher Awards 2020
 |
JACIII BEST PAPER AWARD 2020 Crystalizing Effect of Simulated Annealing on Boltzmann Machine Hiroki Shibata, Hiroshi Ishikawa, and Yasufumi Takama |
 |  |  |
| 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 |
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.
|
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 |
 |  | | | |  |
| 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 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 |
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.
|
JACIII YOUNG RESEARCHER AWARD 2020 Approach to Clustering with Variance-Based XCS Caili Zhang, Takato Tatsumi, Masaya Nakata, and Keiki 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 |
Fig. Mr. Caili Zhang took time out from his busy schedule to participate in the ceremony.
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).