Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Xiaokang Xie"'
Publikováno v:
Applied Sciences, Vol 13, Iss 24, p 13326 (2023)
For high ground-stress soft-rock tunnels surrounding rock with large deformation, rapid deformation rate, a long creep time, and a high likelihood of to causing initial and secondary lining damage, the yielding and relief-pressure support technology
Externí odkaz:
https://doaj.org/article/8a1ef67505ac45b6a98eef05a378f85f
Autor:
Jawei Kong, Siqi Liu, Baojia Li, Xiaokang Xie, Min Wang, Deyun Li, Zuqing Zhu, Bin Niu, Shaofei Tang
Publikováno v:
Journal of Lightwave Technology. 37:4426-4438
Recently, with the development of IP and elastic optical networks (EONs), the network control and management (NC&M) scheme for IP-over-EONs, which can facilitate effective cross-layer orchestration (XLyr-O), has become an interesting but challenging
Publikováno v:
ICC
This paper considers the emergency backup in an inter-datacenter (inter-DC) network whose topology is time-variant due to the progress of a disaster. We first transform the dynamic backup into a static flow problem through building a variable time-ex
Publikováno v:
CICTP 2016.
With the development of mobile network technology, many kinds of taxi systems based on application (APP) are appearing, which provides convenience for travelers and makes taxi-pooling possible. But the taxi systems are working almost based on indepen
Publikováno v:
SPIE Proceedings.
Blurred face recognition is still remaining as a challenge task, but with wide applications. Image blur can largely affect recognition performance. The local phase quantization (LPQ) was proposed to extract the blur-invariant texture information. It
Publikováno v:
ICIP
Blurred image recognition is still remaining as a challenging task, while with the wide applications. One principal way for solving this problem is to extract the blur-invariant visual descriptor. To this end, local phase quantization (LPQ) was ever
Publikováno v:
ICIP
Image blurring significantly degrades the image recognition performance. In this paper, we novelly address the blurred image recognition task from the perspective of domain adaptation (DA). The scenario is that, the training set (source domain) only
Publikováno v:
CICTP 2016; 2016, p89-98, 10p