Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Crino Shin"'
Publikováno v:
IEEE Access, Vol 7, Pp 145095-145103 (2019)
This study proposes an automated brittle fracture rate (BFR) estimator using deep learning. As the demand for line-pipes increases in various industries, the need for BFR estimation through drop-weight tear test (DWTT) increases to evaluate steel's p
Externí odkaz:
https://doaj.org/article/e6e65e200db743b2aea6885ebafa913d
Publikováno v:
Journal of Manufacturing Systems. 55:317-324
Recent efforts to create a smart factory have inspired research that analyzes process data collected from Internet of Things (IOT) sensors, to predict product quality in real time. This requires an automatic defect inspection system that quantifies p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e947f2cfea6b8e67a32343546f643236
https://doi.org/10.1016/j.jmsy.2020.03.009
https://doi.org/10.1016/j.jmsy.2020.03.009
Publikováno v:
2020 20th International Conference on Control, Automation and Systems (ICCAS).
In this paper, we propose a corrupted data filtering method for MIMIC III dataset based on the convolutional autoencoder. The convolutional autoencoder is employed to restore the corrupted data, and using the restoration error, the degree of data con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dcba17ec903d5d9a969d2792137816db
https://doi.org/10.23919/iccas50221.2020.9268224
https://doi.org/10.23919/iccas50221.2020.9268224
Publikováno v:
IEEE Access, Vol 7, Pp 145095-145103 (2019)
This study proposes an automated brittle fracture rate (BFR) estimator using deep learning. As the demand for line-pipes increases in various industries, the need for BFR estimation through drop-weight tear test (DWTT) increases to evaluate steel's p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e7d8520215a81a7d4f18d2115bffdf9
https://ieeexplore.ieee.org/document/8859257/
https://ieeexplore.ieee.org/document/8859257/
Publikováno v:
ICCE
This paper presents a state estimator design method using multi-rate sampled-data for autonomous vehicle driving system. The proposed state estimator is designed by using an affine matched T-S fuzzy model with the sampling information of each sensors
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3cf03592455b763990e3afc11ddb2a2
https://doi.org/10.1109/icce.2019.8661985
https://doi.org/10.1109/icce.2019.8661985
Predicting Unmeasured Region of the Efficiency Map of a Speed Reducer Using a Denoising Auto-Encoder
Publikováno v:
2018 3rd International Conference on Computational Intelligence and Applications (ICCIA).
This paper presents a Remaining Useful Life (RUL) prediction method for a speed reducer based on denoising au- to-encoder (DAE). Constructing the efficiency map of the re- ducer is an important process for predicting the life span. However, due to th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05d90d6ba8bff98caf9681c9523acc58
https://doi.org/10.1109/iccia.2018.00030
https://doi.org/10.1109/iccia.2018.00030
Publikováno v:
Optical Engineering; Feb2019, Vol. 58 Issue 2, p1-9, 9p