Rchr
J-GLOBAL ID：201901010942369396
Update date: Apr. 30, 2024
liu zhongda
リュウ チュウタツ | liu zhongda
Affiliation and department：
Research field (1)：
Information security
Research theme for competitive and other funds (2)：
- 2022 - 2026 Development of Artificial Intelligence that Simulates Human Kansei for Melodies Written in Music Notation
- 2018 - 2021 Estimating the tempo of a musical performance by simulating the sensory information that humans add to the notes of a musical score using machine learning
Papers (7)：
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Satoshi KAWAMURA, Zhongda LIU, Takeshi MURAKAMI, Ken’ichi WATANABE, Masanori HASEGAWA, Katsushi USHIWATA, Hitoaki YOSHIDA. 吹奏楽器演奏者5名が楽譜を吹奏楽器での吹奏時に推定したテンポの深層ニューラルネットワークによる模擬. Transactions of Japan Society of Kansei Engineering. 2024. 23. 2. 141-151
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Zhongda Liu, Takeshi Murakami, Satoshi Kawamura, Hitoaki Yoshida. Chaotic and random neural network cipher for in-vehicle network security. IEICE Communications Express. 2021. 10. 12. 1026-1031
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Zhongda Liu, Takeshi Murakami, Satoshi Kawamura, Hitoaki Yoshida. Fast Stream Cipher based Chaos Neural Network for Data Security in CAN Bus. Advances in Science, Technology and Engineering Systems Journal. 2020. 5. 5. 63-68
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Satoshi Kawamura, Zhongda Liu, Hitoaki Yoshida. Estimation of the Kansei Information obtained from Musical Scores via Machine Learning Algorithms. 2019 IEEE 10TH INTERNATIONAL CONFERENCE ON AWARENESS SCIENCE AND TECHNOLOGY (ICAST 2019). 2019. 288-292
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Zhongda Liu, Takeshi Murakami, Satoshi Kawamura, Hitoaki Yoshida. Parallel Implementation of Chaos Neural Networks for an Embedded GPU. 2019 IEEE 10TH INTERNATIONAL CONFERENCE ON AWARENESS SCIENCE AND TECHNOLOGY (ICAST 2019). 2019. 34-39
ｍore...
MISC (4)：
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