Online edition: ISSN 2432-6380
[TOP] | [2018] | [2019] | [2020] | [2021] | [2022] | [2023] | [2024] | [Japanese] / [English]
MSS2021-17
Design and Implementation of a Distributed Building Control Simulator for Federated Learning
Shugo Fujimura, Koki Fujita, Yuwei Sun, Hiroshi Esaki, Hideya Ochiai (UTokyo)
pp. 1 - 6
MSS2021-18
A Proposal of the Control Method for Multiple Buildings with AI Techiques
Koki Fujita, Shugo Fujimura, Yuwei Sun, Hiroshi Esaki, Hideya Ochiai (UTokyo)
pp. 7 - 12
MSS2021-19
Parallelization Efficiency-Aware Multi-Person Tracking Method Based on Person Re-Identification
Satoshi Yamazaki, Jianquan Liu (NEC)
pp. 13 - 18
MSS2021-20
Cycle-based local update method for minimizing maximal edge-load factor on unsplittable multicommodity flow problem
Fumiya Onogi, Norihiko Shinomiya (Soka Univ.)
pp. 19 - 23
MSS2021-21
Shortest cycles on a WRSN model provided by a WSN routing
Yoshihiro Kaneko, Keisuke Murase (Gifu Univ.)
pp. 24 - 27
MSS2021-22
Evaluation of Accuracy in Frequency Domain Equalization with Equivalent Low-pass Model of Distributed Amplifier
Taiki Okuma, Sota Ikeo, Umeda Yohtaro (Tokyo University of Science)
pp. 28 - 33
MSS2021-23
Distortion Analysis of RF Power Amplifier Using Probability Density of Input Signal and AM-AM Characteristics
Satoshi Tanaka (Murata Manufacturing)
pp. 34 - 39
MSS2021-24
Proposal of a Human Body Model of Traditional Chinese Medicine Including Qi, Blood, and Fluid
Quan Gan (Yamaguchi Univ.), Ren Wu (Yamaguchi Junior College), Mitsuru Nakata, Qi-Wei Ge (Yamaguchi Univ.)
pp. 40 - 45
MSS2021-25
Estimating Internal Organs States Based on Traditional Chinese Medicine Interviews and the Scores of Qi, Blood and Fluid
Soya Murata (Yamaguchi Univ), Ren Wu (Yamaguchi Junior College), Mitsuru Nakata, Qi-Wei Ge (Yamaguchi Univ)
pp. 46 - 51
MSS2021-26
On Application of Machine Learning for Deciding Acupuncture and Moxibustion Treatment Based on Symptoms
Hang Yang (Yamaguchi Univ.), Ren Wu (Yamaguchi Junior College), Mitsuru Nakata, Qi-Wei Ge (Yamaguchi Univ.)
pp. 52 - 57
MSS2021-27
MILP Formulation for Optimal Resource Assignment Problems with Multiple Resource Requirements based on Timed Colored Petri Nets
Tomoya Ushihara, Morikazu Nakamura (Univ. of the Ryukyus)
pp. 58 - 63
MSS2021-28
Ising Model Formulation for Job-shop Scheduling Problems based on Petri Nets Modeling
Kohei Kaneshima, Morikazu Nakamura (Univ. of the Ryukyus)
pp. 64 - 69
MSS2021-29
Bounded synthesis based reinforcement learning of optimal path for surveillance robots under LTL specifications
Ryohei Oura, Toshimitsu Ushio (Osaka Univ)
pp. 70 - 75
MSS2021-30
Multi-Agent Surveillance Based on Travel Cost Minimization
Kyohei Murakata, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.)
pp. 76 - 79
Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.