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 (6):
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
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
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
Education on Information Ethics and Information Security. Journal for academic computing and networking. 2010. 14. 171-175
Yi Haibo, Liu Zhongda, Sugawara Kei, Nakaya Naoshi, Koi Yuji. A-7-1 The Automatic Generation System of Computer Virus Vaccine Software. Proceedings of the Society Conference of IEICE. 2006. 2006. 131-131