Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Yu-lin Zheng"'
Publikováno v:
PhytoKeys, Vol 114, Iss , Pp 11-25 (2018)
The existence of intermediate types is a major obstacle that can hinder the circumscription of species. Elucidating the mechanism responsible for intermediate types is essential for achieving a reasonable taxonomical treatment. In this study, we expl
Externí odkaz:
https://doaj.org/article/fd3c37a0a2a842319ff2b9332888e0eb
Autor:
Wen-Fei Cao, Yi-Zheng Zhen, Yu-Lin Zheng, Shuai Zhao, Feihu Xu, Li Li, Zeng-Bing Chen, Nai-Le Liu, Kai Chen
Publikováno v:
Entropy, Vol 22, Iss 10, p 1083 (2020)
Quantum key distribution (QKD) networks hold promise for sharing secure randomness over multi-partities. Most existing QKD network schemes and demonstrations are based on trusted relays or limited to point-to-point scenario. Here, we propose a flexib
Externí odkaz:
https://doaj.org/article/b73ed654d4dc409990af9f76e83dea8b
Autor:
Yu-lin Zheng, 鄭郁霖
104
The control of injection speed,holding pressure and the transition between them in a hydraulic injection molding machine with hydraulic servo valve were investigated in this research. Dynamic model for the injection-holding process was bui
The control of injection speed,holding pressure and the transition between them in a hydraulic injection molding machine with hydraulic servo valve were investigated in this research. Dynamic model for the injection-holding process was bui
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/83328330138060086006
Autor:
Yu-lin Zheng, 鄭鈺霖
98
In this thesis, an automated system was built for electrocardiogram (ECG) arrhythmias classification that use ECG’s Lead II and V1 signals as input. Two problems must be overcome how to pick up ECG’QRS position and how to classify differe
In this thesis, an automated system was built for electrocardiogram (ECG) arrhythmias classification that use ECG’s Lead II and V1 signals as input. Two problems must be overcome how to pick up ECG’QRS position and how to classify differe
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/52805492809679568641
Publikováno v:
International Journal of Acarology. :1-10
Autor:
Yu-Lin Zheng, 鄭鈺霖
103
In recent years, due to searching engines and social networks, the explosive growth of web-related/network-related data lets cloud computing be more popular. Since cloud computing supports parallel processing and high scalability for handlin
In recent years, due to searching engines and social networks, the explosive growth of web-related/network-related data lets cloud computing be more popular. Since cloud computing supports parallel processing and high scalability for handlin
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/a2vfp2
Publikováno v:
Journal of Environmental Chemical Engineering. 10:108647
Autor:
Yi-Zheng Zhen, Wen-Fei Cao, Yu-Lin Zheng, Nai-Le Liu, Zeng-Bing Chen, Feihu Xu, Shuai Zhao, Kai Chen, Li Li
Publikováno v:
Entropy, Vol 22, Iss 1083, p 1083 (2020)
Entropy
Volume 22
Issue 10
Entropy
Volume 22
Issue 10
Quantum key distribution (QKD) networks hold promise for sharing secure randomness over multi-partities. Most existing QKD network schemes and demonstrations are based on trusted relays or limited to point-to-point scenario. Here, we propose a flexib
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::030ddc1490f4b275e7b4eab121c57249
http://arxiv.org/abs/2009.13439
http://arxiv.org/abs/2009.13439
Autor:
Yuchuan Chen, Zailin Zeng, Xinpeng Zhou, Na-Xin Guo, Zheng Zhao, Zhong-Yi Liu, Hong-Yuan Zhang, Yu-Lin Zheng
Publikováno v:
Ore Geology Reviews. 93:404-412
The Yinkeng orefield is located in the eastern Nanling region, South China. The Nanling region hosts numerous W(-Sn)-dominant, polymetallic deposits related to the widely distributed Mesozoic granites, making it one of the most important W-Sn polymet
Publikováno v:
Chinese Physics B. 30:040306
Recent advances in quantum technology have led to the development and the manufacturing of programmable quantum annealers that promise to solve certain combinatorial optimization problems faster than their classical counterparts. Semi-supervised lear