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JACIII Best Paper, Young Researcher, and Best Review Paper Awards 2019

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JACIII BEST PAPER AWARD 2019

Analyzing Potential of Personal Values-Based User Modeling for Long Tail Item Recommendation

Yasufumi Takama, Yu-Sheng Chen, Ryori Misawa, and Hiroshi Ishikawa
Vol.22 no.4 p.506-513 2018

Yasufumi TakamaYu-Sheng ChenRyori MisawaHiroshi Ishikawa
Yasufumi Takama
Graduate School of System Design, Tokyo Metropolitan University
Yu-Sheng Chen
Graduate School of System Design, Tokyo Metropolitan University
Ryori Misawa
Graduate School of System Design, Tokyo Metropolitan University
Hiroshi Ishikawa
Graduate School of System Design, Tokyo Metropolitan University
JACIII Best Paper, Young Researcher, and Best Review Paper Awards 2019

Fig. From From Prof. Kaoru Hirota, the JACIII Editor-in-Chief, Prof. Yasufumi Takama received a certificate of the JACIII Best Paper Award 2019 on behalf of the authors.

Message from the Winner

We are very honored to receive the JACIII’s Best Paper Award 2019. We would like to thank the award committee for this great honor. We have proposed a user modeling method based on personal values. The method is called Rating Matching Rate (RMRate), which was reported in our previous publication on the JACIII. Using RMRate, personal values are modeled as the effect of an item’s attributes on a user’s rating. Assuming that the personal values strongly affect our evaluation of unpopular items, this paper examines its effectiveness for long tail item recommendation. The proposed long tail item recommendation consists of RMRate, user-based collaborative filtering, and a strategy for selecting long tail items. The experimental results show incorporating personal values enables the recommendation of long tail items while maintaining recommendation accuracy. As introducing personal values into recommender systems is a relatively new idea, we decided to submit our papers related to RMRate to the JACIII, which encourages the submission of reports on pioneering studies. We would like to submit our papers to the JACIII to report on subsequent studies in the future.


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JACIII YOUNG RESEARCHER AWARD 2019

Characteristics of Rough Set C-Means Clustering

Seiki Ubukata, Keisuke Umado, Akira Notsu, and Katsuhiro Honda
Vol.22 no.4 p.551-564 2018

Seiki UbukataKeisuke UmadoAkira NotsuKatsuhiro Honda
Seiki Ubukata
Osaka Prefecture University
Keisuke Umado
Osaka Prefecture University
Akira Notsu
Osaka Prefecture University
Katsuhiro Honda
Osaka Prefecture University
JACIII Best Paper, Young Researcher, and Best Review Paper Awards 2019

Fig. Dr. Seiki Ubukata received a certificate and a plaque of the JACIII Young Researcher Award 2019.

Message from the Winner

I am very honored to receive this prestigious award, the “JACIII Young Researcher Award 2019.” I am deeply grateful to the JACIII editorial board/office, reviewers, co-authors, and all supporters of this paper, “Characteristics of Rough Set C-Means Clustering.” This award is highly encouraging to my further study. My research interests include cluster analysis (clustering) and soft computing, especially rough set theory. This paper introduces the perspective of rough set theory to hard C-means (HCM; k-means) clustering to deal with uncertainty. The proposed method, rough set C-means (RSCM), is a clustering model based on the object space granulated by a binary relation. RSCM uses the rough set to approximate each temporal cluster and considers whether it is positive, possible, or uncertain that an object belongs to each cluster. While fuzzy clustering has been well studied and widely used, rough set-based clustering has not been well studied, leaving room for further investigation. Since cluster structures in the real-world dataset are not always clear, the handling of uncertainty based on rough sets is a very important and interesting subject. I hope that this study will contribute to the development of both clustering and rough set theory, and that rough set-based clustering will be promoted and widely used in the future. I also wish for the development of JACIII and the field of computational intelligence and intelligent informatics. Thank you.


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JACIII BEST REVIEW PAPER AWARD 2019

A Survey of Video-Based Crowd Anomaly Detection in Dense Scenes

Junjie Ma, Yaping Dai, and Kaoru Hirota
Vol.21 no.2 p.235-246 2017

Junjie MaYaping DaiKaoru Hirota
Junjie Ma
School of Automation, Beijing Institute of Technology
Yaping Dai
School of Automation, Beijing Institute of Technology
Kaoru Hirota
School of Automation, Beijing Institute of Technology
JACIII Best Paper, Young Researcher, and Best Review Paper Awards 2019

Fig. Mr. Junjie Ma received a certificate of the JACIII Review Paper Award 2019 on behalf of the authors.

Message from the Winner

I would like to thank the award committee of the JACIII of Fuji Technology Press for granting me this award. It is a great honor and an affirmation of my current academic level.

I am now a Ph.D. candidate at the Beijing Institute of Technology, China. When my supervisor, Professor Yaping Dai, notified me by email that my paper had been selected to win the JACIII Best Review Paper Award, I was amazed and excited. As this is my first time to win a best paper award issued by a famous international journal, I would also like to share my happiness with my labmates, friends, and family members.

This paper was written with the help of Professors Yaping Dai and Kaoru Hirota. I would like to thank them for enhancing the quality of the paper, modifying the English in it, and providing meaningful academic advice in general. The main purpose of this paper was to survey recent prominent works on crowd counting and anomaly detection based on the analysis of pedestrians. These two tasks are significant research areas that have been gathering attention in the fields of intelligent surveillance systems and public security. In fact, by the end of 2019, top computer vision conferences such as CVPR and ICCV will have published more than 20 papers on crowd counting alone. I hope that this paper can provide some meaningful basic knowledge to those who are interested and would like to learn more about crowd counting and anomaly detection.

I continue to do research on the task of crowd counting and have already finished some additional works. I would very much appreciate the opportunity to discuss related issues with experts in this field and to collaborate, if possible.











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JACIII Best Paper and Young Researcher Awards 2018

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JACIII BEST PAPER AWARD 2018

Bloch Sphere-Based Representation for Quantum Emotion Space

Fei Yan, Abdullah M. Iliyasu, Zhen-Tao Liu, Ahmed S. Salama, Fangyan Dong, and Kaoru Hirota
Vol.19 no.1 p.134-142 2015

Fei YanAbdullah M. IliyasuZhen-Tao LiuAhmed S. SalamaFangyan DongKaoru Hirota
Fei Yan
School of Computer Science and Technology, Changchun University of Science and Technology, Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology
Abdullah M. Iliyasu
Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, College of Engineering, Salman Bin Abdulaziz University
Zhen-Tao Liu
School of Automation, China University of Geosciences
Ahmed S. Salama
College of Engineering, Salman Bin Abdulaziz University
Fangyan Dong
Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology
Kaoru Hirota
Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology
JACIII Best Paper and Young Researcher Awards 2018

Fig. From Prof. Kaoru Hirota (left), JACIII Editor-in-Chief, Prof. Fei Yan received a plaque and a certificate of the JACIII Best Paper Award 2018 on behalf of the authors at ISCIIA&ITCA2018, Nov. 4, Shandong, China.

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JACIII YOUNG RESEARCHER AWARD 2018

XCSR Learning from Compressed Data Acquired by Deep Neural Network

Kazuma Matsumoto, Takato Tatsumi, Hiroyuki Sato, Tim Kovacs, and Keiki Takadama
Vol.21 no.5 p.856-867 2017

Kazuma MatsumotoTakato TatsumiHiroyuki SatoTim KovacsKeiki Takadama
Kazuma Matsumoto
The University of Electro-Communications
Takato Tatsumi
The University of Electro-Communications
Hiroyuki Sato
The University of Electro-Communications
Tim Kovacs
The University of Bristol
Keiki Takadama
The University of Electro-Communications
JACIII Best Paper and Young Researcher Awards 2018

Fig. Prof. Keiki Takadama received a certificate and a plaque of the JACIII Young Researcher Award 2018 on behalf of Mr. Kazuma Matsumoto.





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JACIII Best Paper and Young Researcher Awards 2017

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JACIII BEST PAPER AWARD 2017

Multi-Robot Behavior Adaptation to Humans’ Intention in Human-Robot Interaction Using Information-Driven Fuzzy Friend-Q Learning

Lue-Feng Chen, Zhen-Tao Liu, Min Wu, Fangyan Dong, and Kaoru Hirota
Vol.19 no.2 p.173-184 2015

Lue-Feng ChenZhen-Tao LiuMin WuFangyan DongKaoru Hirota
Lue-Feng Chen
Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology
Zhen-Tao Liu
School of Automation, China University of Geosciences
Min Wu
School of Automation, China University of Geosciences
Fangyan Dong
Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology
Kaoru Hirota
Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology
JACIII Best Paper and Young Researcher Awards 2017

Fig. From Prof. Kaoru Hirota (right), JACIII Editor-in-Chief, Dr. Lue-Feng Chen received a plaque of the JACIII Best Paper Award 2017 on behalf of the authors.

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JACIII YOUNG RESEARCHER AWARD 2017

AEGA: A New Real-Coded Genetic AlgorithmTaking Account of Extrapolation

Kento Uemura and Isao Ono
Vol.20 no.3 p.429-437 2016

Kento UemuraIsao Ono
Kento Uemura
Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology
Isao Ono
Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology
JACIII Best Paper and Young Researcher Awards 2017

Fig. Prof. Isao Ono received a certificate and a plaque of the JACIII Young Researcher Award 2017 on behalf of Mr. Kento Uemura.

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JACIII YOUNG RESEARCHER AWARD 2017

An Improved Particle Swarm Optimization Deployment for Wireless Sensor Networks

Shuxin Ding, Chen Chen, Jie Chen, and Bin Xin
Vol.18 no.2 p.107-112 2014

Shuxin DingChen ChenJie ChenBin Xin
Shuxin Ding
School of Automation, Beijing Institute of Technology, Key Laboratory of Intelligent Control and Decision of Complex Systems
Chen Chen
School of Automation, Beijing Institute of Technology, Key Laboratory of Intelligent Control and Decision of Complex Systems
Jie Chen
School of Automation, Beijing Institute of Technology, Key Laboratory of Intelligent Control and Decision of Complex Systems
Bin Xin
School of Automation, Beijing Institute of Technology, Key Laboratory of Intelligent Control and Decision of Complex Systems
JACIII Best Paper and Young Researcher Awards 2017

Fig. Dr. Shuxin Ding,  the awardee of the JACIII Young Researcher Award 2017, received a certificate and a plaque. Award ceremony took place at IWACIII2017, Nov. 4, Beijing, China.







 

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JACIII Best Paper and Young Researcher Awards 2016

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JACIII BEST PAPER AWARD 2016

Discovering Emotion-Inducing Music Features Using EEG Signals

Rafael Cabredo, Roberto Legaspi, Paul Salvador Inventado, and Masayuki Numao
Vol.17 no.3 p.362-370 2013

Rafael CabredoRoberto LegaspiPaul Salvador InventadoMasayuki Numao
Rafael Cabredo
College of Computer Studies, De La Salle University, Manila
Roberto Legaspi
The Institute of Scientific and Industrial Research, Osaka University
Paul Salvador Inventado
The Institute of Scientific and Industrial Research (ISIR), Osaka University
Masayuki Numao
The Institute of Scientific and Industrial Research, Osaka University
JACIII Best Paper and Young Researcher Awards 2016

Fig. From Prof. Kaoru Hirota (right), JACIII Editor-in-Chief, Prof. Kenichi Fukui received the certificates and a plaque of the JACIII Best Paper Award 2016 on behalf of the authors.

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JACIII YOUNG RESEARCHER AWARD 2016

Fuzzy Inference Based Vehicle to Vehicle Network Connectivity Model to Support Optimization Routing Protocol for Vehicular Ad-Hoc Network (VANET)

Chehung Lin, Fangyan Dong, and Kaoru Hirota
Vol.18 no.1 p.9-21 2014

Chehung LinFangyan DongKaoru Hirota
Chehung Lin
Tokyo Institute of Technology
Fangyan Dong
Tokyo Institute of Technology
Kaoru Hirota
Tokyo Institute of Technology
JACIII Best Paper and Young Researcher Awards 2016

Fig. Dr. Chehung Lin, the awardee of the JACIII Young Researcher Award 2016, received a certificate and a plaque. Award ceremony took place at SCIS&ISIS2016, Aug. 27, Sapporo, Japan.





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JACIII Best Paper and Young Researcher Awards 2015

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JACIII BEST PAPER AWARD 2015

Landmark FN-DBSCAN: An Efficient Density-Based Clustering Algorithm with Fuzzy Neighborhood

Hao Liu, Satoshi Oyama, Masahito Kurihara, and Haruhiko Sato
Vol.17 no.1 p.60-73 2013

Hao LiuSatoshi OyamaMasahito KuriharaHaruhiko Sato
Hao Liu
Ph.D. Student, Graduate School of Information Science and Technology, Hokkaido University
Satoshi Oyama
Associate Professor, Graduate School of Information Science and Technology, Hokkaido University
Masahito Kurihara
Professor, Graduate School of Information Science and Technology, Hokkaido University
Haruhiko Sato
Assistant Professor, Graduate School of Information Science and Technology, Hokkaido University
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JACIII YOUNG RESEARCHER AWARD 2015

Incorporating Renewable Energy Resources in a Smart Grid with Power Line Communication Using Matlab/Simulink

Md. Atikur Rahman Sarker, Yuki Ueno, Chi-Hung Kelvin Chu, and Ken Nagasaka
Vol.17 no.1 p.103-108 2013

Md. Atikur Rahman SarkerYuki UenoChi-Hung Kelvin ChuKen Nagasaka
Md. Atikur Rahman Sarker
Ph.D. Student, Tokyo University of Agriculture and Technology
Yuki Ueno
Student, Tokyo University of Agriculture and Technology
Chi-Hung Kelvin Chu
Senior Planning Analyst, Con Edison of NY, Inc.
Ken Nagasaka
Associate Professor, Department of Electrical and Electronics Engineering, Tokyo University of Agriculture and Technology
JACIII Best Paper and Young Researcher Awards 2015

Fig. From Prof. Kaoru Hirota (right), the JACIII Editor-in-Chief, Prof. Ken Nagasaka received a plaque of the JACIII Young Researcher Award 2015 on behalf of Mr. Md. Atikur Rahman Sarker.

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JACIII YOUNG RESEARCHER AWARD 2015

A Three-Dimensional Evaluation of EndoButton Displacement Direction After Anterior Cruciate Ligament Reconstruction in CT Image Using Tunnel Axis

Yosuke Uozumi, Kouki Nagamune, Naoki Nakano, Kanto Nagai, Yuichiro Nishizawa, Yuichi Hoshino, Takehiko Matsushita, Ryosuke Kuroda, and Masahiro Kurosaka
Vol.18 no.5 p.830-838 2014

Yosuke UozumiKouki NagamuneNaoki NakanoKanto NagaiYuichiro Nishizawa
Yosuke Uozumi
Advanced Interdisciplinary of Science and Technology, Graduate School of Engineering, University of Fukui
Kouki Nagamune
Associate Professor, Department of Human and Artificial Intelligent Systems, Graduate School of Engineering, University of Fukui
Naoki Nakano
Graduate School of Medicine, Kobe University
Kanto Nagai
Graduate School of Medicine, Kobe University
Yuichiro Nishizawa
Researcher, Kobe University
Yuichi HoshinoTakehiko MatsushitaRyosuke KurodaMasahiro Kurosaka
Yuichi Hoshino
Researcher, Kobe University
Takehiko Matsushita
Researcher, Kobe University
Ryosuke Kuroda
Associate Professor, Kobe University
Masahiro Kurosaka
Professor, Orthopaedic Laboratory, Graduate School of Medicine, Kobe University
JACIII Best Paper and Young Researcher Awards 2015

Fig. Mr. Yosuke Uozumi, the awardee of the JACIII Young Researcher Award 2015, received a certificate from Prof. Hirota.







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JACIII Best Paper and Young Researcher Awards 2014

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JACIII BEST PAPER AWARD 2014

Heuristic Algorithm for Attribute Reduction Based on Classification Ability by Condition Attributes

Yasuo Kudo and Tetsuya Murai
Vol.15 no.1 p.102-109 2011

Yasuo KudoTetsuya Murai
Yasuo Kudo
Associate Professor, Graduate School of Engineering, Muroran Institute of Technology
Tetsuya Murai
Associate Professor, Graduate School of Information Science and Technology, Hokkaido University
JACIII Best Paper and Young Researcher Awards 2014

Fig. Assoc. Prof. Yasuo Kudo (right), the awardee of the Best Paper Award 2014, received a certificate from Prof. Kaoru Hirota (left), JACIII Editor-in-Chief, at the award ceremony on Dec. 5, 2014 in Kitakyushu, Japan.

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JACIII YOUNG RESEARCHER AWARD 2014

Interest-Based Ordering for Fuzzy Morphology on White Blood Cell Image Segmentation

Chastine Fatichah, Martin Leonard Tangel, Muhammad Rahmat Widyanto, Fangyan Dong, and Kaoru Hirota
Vol.16 no.1 p.76-86 2012

Chastine FatichahMartin Leonard TangelMuhammad Rahmat WidyantoFangyan DongKaoru Hirota
Chastine Fatichah
Department of Computational Jc16-1-11_fatichah.jpg
Martin Leonard Tangel
Department of Computational, Intelligence and Systems Science, Tokyo Institute of Technology
Muhammad Rahmat Widyanto
Research Coordinator and Lecturer, Faculty of Computer Science, University of Indonesia
Fangyan Dong
Assistant Professor, Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology
Kaoru Hirota
Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology
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JACIII YOUNG RESEARCHER AWARD 2014

Concept of Fuzzy Atmosfield for Representing Communication Atmosphere and its Application to Humans-Robots Interaction

Zhen-Tao Liu, MinWu, Dan-Yun Li, Lue-Feng Chen, Fang-Yan Dong, Yoichi Yamazaki, and Kaoru Hirota
Vol.17 no.1 p.3-17 2013

Zhen-Tao LiuMin WuDan-Yun LiLue-Feng ChenFang-Yan Dong
Zhen-Tao Liu
Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, School of Information Science and Engineering, Central South University
Min Wu
Dean and Professor, School of Information Science and Engineering, Central South University
Dan-Yun Li
School of Information Science and Engineering, Central South University
Lue-Feng Chen
Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology
Fang-Yan Dong
Assistant Professor, Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology
Yoichi YamazakiKaoru Hirota
Yoichi Yamazaki
Assistant Professor, Department of Electrical, Electronic & Information Engineering, Kanto Gakuin University
Kaoru Hirota
Professor, Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology






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Last updated on Nov. 21, 2019