Zobrazeno 1 - 10 of 16 pro vyhledávání: '"Megumi Aibara"'
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Akademický článek
The walking and running control of a human musculoskeletal model using a low-power consumption hardware central pattern generator model
Autor: Kenji Takeda, Mikihito Hayakawa, Motokuni Ishibashi, Minori Ishihara, Takumi Ishihama, Megumi Aibara, Minami Kaneko, Fumio Uchikoba
Publikováno v: International Journal of Advanced Robotic Systems, Vol 19 (2022)
Applying a control system with low energy consumption and low load of motion control to robots, similar to living organisms, is considered to be one of the most important issues in robot development. We have been studying systems that use pulse-type
Externí odkaz: https://doaj.org/article/2c0dc25c63224108af2295734fe8186a
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3
Hardware CPG Model That Generates Time Series Neural Signal Patterns for Controlling Human Walking and Running
Autor: Kenji Takeda, Tatsumi Goto, Takumi Ishihama, Motokuni Ishibashi, Kentaro Yamazaki, LYU SHUXIN, Megumi Aibara, Minami Kaneko, Fumio Uchikoba
A hardware CPG model for biped gait control using pulse-type hardware neural networks(P-HNNs) composed of analog electronic circuits to generate time-series neural signal patterns for controlling human walking and running is reported. Human walking a
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::33b3a52d1bc520eb0e12ae81b2eadc28
https://doi.org/10.21203/rs.3.rs-2406912/v1
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6
Pulse-type hardware neural network mimicking spinal cord function
Autor: Motokuni Ishibashi, Minami Kaneko, Mikihito Hayakawa, Ken Saito, Fumio Uchikoba, Megumi Aibara, Kenji Takeda, Kaito Tanami
Publikováno v: Artificial Life and Robotics. 26:450-456
There is a lot of research on the application of artificial neural networks as a control method for robots to achieve bio-mimetic movements. In this paper, we have designed, fabricated, and measured a pulse-type hardware neural network that mimics sp
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::00b3ef947bbb031f696388fd51d7ef2b
https://doi.org/10.1007/s10015-021-00691-1
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9
Mandibular premolar identification system based on a deep learning model
Autor: Yuriko Igarashi, Shintaro Kondo, Sora Kida, Megumi Aibara, Minami Kaneko, Fumio Uchikoba
Publikováno v: Journal of oral biosciences. 64(3)
For constructing an isolated tooth identification system using deep learning, Igarashi et al. (2021) began constructing a learning model as basic research to identify the left and right mandibular first and second premolars. These teeth were chosen f
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7722fbe40686d96b10040f2cbc8c0f66
https://pubmed.ncbi.nlm.nih.gov/35618231
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10
Research and Development of MEMS Turbine Generator for Miniature Organic Rankine Cycle System
Autor: Minami Kaneko, Megumi Aibara, Yuya Kobayashi, Fumio Uchikoba, Katsuyuki Tanaka, Kenji Takeda
Publikováno v: ISIE
This paper proposes miniature turbine structures that are aimed for a miniature Rankine cycle generator. For the IoT (Internet of Things) society, maintenance free, and miniaturized power source is demanded. Among several candidate, we have researche
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::85f75defb3427e8ced779bb3499c0681
https://doi.org/10.1109/isie45552.2021.9576264
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