Zobrazeno 1 - 10
of 124
pro vyhledávání: '"Tzu-Liang Tseng"'
Mechanical response of shape-recovering metamaterial structures fabricated by additive manufacturing
Publikováno v:
Materials Research Express, Vol 8, Iss 11, p 115801 (2021)
Three different metamaterial structures were fabricated using stereolithography 3D printing and a shape recovering material. Mechanical properties and recovery efficiency were assessed after compression testing. All three structures exhibited similar
Externí odkaz:
https://doaj.org/article/141f5230c9434daeb2505a15c78ca04a
Publikováno v:
CIRP Journal of Manufacturing Science and Technology. 33:176-187
The properties of fiber-reinforced composite materials greatly depend on the morphology of reinforcing fibers within the base materials, i.e., spatial uniformity, orientation, and length distribution. Accurately extracting this information in an auto
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0af69cf68f6ec818e4c593901f305a7b
https://doi.org/10.1016/j.cirpj.2021.03.010
https://doi.org/10.1016/j.cirpj.2021.03.010
Autor:
Tomonobu Senjyu, Donna AlHakeem, Paras Mandal, Yuxin Wen, Tzu Liang Tseng, Yuan-Kang Wu, Sumit Paudyal, Shantanu Chakraborty
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 31:1134-1144
This paper presents two probabilistic approaches based on bootstrap method and quantile regression (QR) method to estimate the uncertainty associated with solar photovoltaic (PV) power point forecasts. Solar PV output power forecasts are obtained usi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc1102933a466cac1b7fd51e9d05c603
https://doi.org/10.1109/tnnls.2019.2918795
https://doi.org/10.1109/tnnls.2019.2918795
Publikováno v:
Proceedings of the 38th International MATADOR Conference ISBN: 9783319649429
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f631828cc4623052ddb7af62784a892
https://doi.org/10.1007/978-3-319-64943-6_44
https://doi.org/10.1007/978-3-319-64943-6_44
Publikováno v:
2021 ASEE Virtual Annual Conference Content Access Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b52720d7836a4f9465d35f0fcd497f9
https://doi.org/10.18260/1-2--36680
https://doi.org/10.18260/1-2--36680
Publikováno v:
2021 ASEE Virtual Annual Conference Content Access Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::943bcdf51d6cea664dbe71c65da5a2a8
https://doi.org/10.18260/1-2--36947
https://doi.org/10.18260/1-2--36947
Publikováno v:
Technometrics. 62:499-512
Initialization bias truncation is critically important for system performance assessment and warm-up length estimation in discrete-event simulations. Most of the existing methods are for univariate...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c9479ef04d1d6b0371431f747bebb65
https://doi.org/10.1080/00401706.2019.1665590
https://doi.org/10.1080/00401706.2019.1665590
Publikováno v:
IEEE Transactions on Automation Science and Engineering. 16:613-628
Prognostics play an increasingly important role in modern engineering systems for smart maintenance decision-making. In parametric regression-based approaches, the parametric models are often too rigid to model degradation signals in many application
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::862d21e6620a8feebb215485069e9021
https://doi.org/10.1109/tase.2018.2844204
https://doi.org/10.1109/tase.2018.2844204
Publikováno v:
2012 ASEE Annual Conference & Exposition Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9167f02cf429bd976d937c91e658c1f4
https://doi.org/10.18260/1-2--21893
https://doi.org/10.18260/1-2--21893
Autor:
Tzu-Liang Tseng, Noe Vargas Hernandez, Richard Chiou, Paras Mandal, Maria Gonzalez, Juan Venegas
Publikováno v:
2012 ASEE Annual Conference & Exposition Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b097edfa006640f3dc008aede7527769
https://doi.org/10.18260/1-2--21561
https://doi.org/10.18260/1-2--21561