Zobrazeno 1 - 10 of 20 pro vyhledávání: '"Takuya Toyoshi"'
1
Akademický článek
Two-dimensional stress field prediction using deep learning technique and relative frequency equalized data augmentation method
Autor: Takuya TOYOSHI, Yoshitaka WADA
Publikováno v: Nihon Kikai Gakkai ronbunshu, Vol 90, Iss 935, Pp 24-00072-24-00072 (2024)
This paper presents a data augmentation method for generating a surrogate model of numerical analysis results. The proposed method focuses on the relative frequency of learning data for generating a learning model using deep learning techniques. Gene
Externí odkaz: https://doaj.org/article/231993d4814644e88a48a918dcd48b1d
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2
Akademický článek
Prediction of fatigue crack growth using convolutional neural network (2nd Report, Prediction of crack propagation on different levels)
Autor: Rekisei OZAWA, Takuya TOYOSHI, Ryuhei TAICHI, Yoshitaka WADA
Publikováno v: Nihon Kikai Gakkai ronbunshu, Vol 89, Iss 924, Pp 23-00032-23-00032 (2023)
In this paper, the prediction of crack propagation with two cracks using machine learning is described. The analysis results of crack propagation by s-version FEM (s-FEM), which combines the automatic mesh generation technique, are used for generatio
Externí odkaz: https://doaj.org/article/43ac7b06aad845a88f56c5df98b9c70c
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3
Akademický článek
Prediction of fatigue crack growth using convolutional neural network (1st Report, Prediction for a single crack with angle)
Autor: Takuya TOYOSHI, Rekisei OZAWA, Ryuhei TAICHI, Yoshitaka WADA
Publikováno v: Nihon Kikai Gakkai ronbunshu, Vol 88, Iss 915, Pp 22-00188-22-00188 (2022)
This paper presents a method for predicting the crack growth shape and the number of cycles of a two-dimensional fatigue crack under cyclic loading using a convolutional neural network. All of data sets for train are generated by s-version FEM for fa
Externí odkaz: https://doaj.org/article/a5f86f213e3249a087aea2fc913f8b67
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4
Akademický článek
Project-Based Learning of Mechanical Design Utilizing CAE Structural Analyses
Autor: Atsushi Kondo, Hiroyuki Hayashi, Takuya Toyoshi
Publikováno v: Education Sciences, Vol 13, Iss 7, p 687 (2023)
A university course on mechanical design utilizing CAE structural analyses is reported. To develop students’ skills to solve practical open-ended engineering problems, a project-based learning (PBL) approach was adopted. The course taught not only
Externí odkaz: https://doaj.org/article/135b590c9f0942b884d12170a3c6cf55
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5
Residual displacement and residual strain measurement for steel frame under seismic load by integrated dot centroid tracking method
Autor: Takuya Toyoshi
Publikováno v: Measurement. 145:444-452
The applicability of the image-based method for residual displacement and strain measurement in a structure which is damaged by seismic load was experimentally investigated. A specimen of steel frame was constructed and was subjected to seismic excit
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::cec1772ff126a3226d658b51270b6534
https://doi.org/10.1016/j.measurement.2019.05.066
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6
Relationship between vertical acceleration and autocorrelation function during jumping rope
Autor: Takuya Toyoshi, Tianyi Wang, Tetsutaro Koda, Masanobu Manno, Nao Miyamoto, Daisuke Goto, Shima Okada, Naruhiro Shiozawa
Publikováno v: LifeTech
Jumping Rope (JR) is a consecutive jump exercise and needs upper and lower body movements skills with the rope. JR requires an effective vertical take-off from ground and landing on ground to maintain successive coordination of whole body movements.
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8da9330833356a69de905d87060c0de9
https://doi.org/10.1109/lifetech52111.2021.9391893
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9
Study on Performance Evaluation of MEMS Sensors and Data Integration Methods for Expected Use to Determine Damage Degrees of Existing Structures
Autor: Takuya Toyoshi, Takuzo Yamashita, Tomohiro Sasaki, Koichi Kajiwara
Publikováno v: Journal of Disaster Research. 12:858-867
The shake table test of small-scaled steel frame structure was conducted using large-scale earthquake simulator at the National Research Institute for Earth Science and Disaster Resilience (NIED) in Tsukuba, Ibaragi. This paper presents the performan
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e229c916dd8730bb773df953cc7cef1e
https://doi.org/10.20965/jdr.2017.p0858
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10
Flexible Multifunctional Sensors for Wearable and Robotic Applications
Autor: Kyohei Hisano, Min Pan, Takuya Toyoshi, Sadao Kawamura, Mengying Xie, Shima Okada, Christopher R. Bowen, Osamu Tsutsumi, Mingzhu Zhu
Publikováno v: Xie, M, Hisano, K, Zhu, M, Toyoshi, T, Pan, M, Okada, S, Tsutsumi, O, Kawamura, S & Bowen, C 2019, ' Flexible Multifunctional Sensors for Wearable and Robotic Applications ', Advanced Materials Technologies, vol. 4, no. 3, 1800626, pp. 1-29 . https://doi.org/10.1002/admt.201800626
This review provides an overview of the current state-of-the-art of the emerging field of flexible multifunctional sensors for wearable and robotic applications. In these application sectors, there is a demand for high sensitivity, accuracy, reproduc
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a02ed396abac92bc70d46aa80b60dd99
https://purehost.bath.ac.uk/ws/files/189493371/first_submission.docx
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