Zobrazeno 1 - 10
of 72
pro vyhledávání: '"ZHAO LI"'
Publikováno v:
IEEE Access, Vol 9, Pp 128870-128876 (2021)
Quantum cryptography is a major ingredient of the future quantum internet that promises various secure communication tasks. Quantum conference key agreement (CKA) is an important cryptographic primitive of quantum cryptography, which provides the con
Externí odkaz:
https://doaj.org/article/2869b465ee714ba9b54a90a1723a2d00
Publikováno v:
IEEE Access, Vol 8, Pp 64591-64602 (2020)
Existing recommender systems usually generate personalized recommendation lists based on the estimation of the preference scores over user-item pairs, while ignoring the impacts of the entire display list that plays a central part in the decision mak
Externí odkaz:
https://doaj.org/article/2f3172a083fc4416a7d11e9799ca794c
Autor:
Yangyang Ma, Fugui Qi, Pengfei Wang, Fulai Liang, Hao Lv, Xiao Yu, Zhao Li, Huijun Xue, Jianqi Wang, Yang Zhang
Publikováno v:
IEEE Access, Vol 8, Pp 121572-121583 (2020)
Distinguishing between humans and common animals through a wall is necessary for facilitating successful rescue of survivors and enhancing the confidence of rescuers in post-disaster search and rescue operations. However, few existing solutions are a
Externí odkaz:
https://doaj.org/article/95e2d6cfa2084cbbbc113825175248a3
Publikováno v:
IEEE Access, Vol 8, Pp 13561-13572 (2020)
With the rapid development of wireless communication technologies, interference has become a key impediment in the improvement of network capacity. In practice, although dense deployment of network can effectively increase the spectrum efficiency, se
Externí odkaz:
https://doaj.org/article/fe5048707b764b58886a0241040bbca2
Autor:
Mingyao Liu, Jingliang Wang, Yi Liu, Yuegang Tan, Kang Yun, Liu Hong, Han Song, Xiangsheng Zeng, Ping Xia, Zhao Li
Publikováno v:
IEEE Access, Vol 8, Pp 32412-32420 (2020)
This paper proposes a curvature demodulation of Mach-Zehnder interferometer (MZI) sensors based on complete spectral information. An MZI sensor composed of two waist-enlarged single mode fibers (SMFs) was fabricated. To research the spectral characte
Externí odkaz:
https://doaj.org/article/b9272d5d52f94c108e1b978234e922c6
Publikováno v:
IEEE Access, Vol 7, Pp 1694-1705 (2019)
Network data traffic has increased dramatically with the rapid development of the Internet of Brain Things, and the host-based IP network Internet of Brain Things architecture is gradually unable to adapt to the new situation, and the information-cen
Externí odkaz:
https://doaj.org/article/9920d016c16a4143a579ee4f1b96ae42
Publikováno v:
IEEE Access, Vol 7, Pp 56890-56903 (2019)
Measurement and characterization of acoustic noise in water pipeline systems across the 10 Hz to 100 kHz acoustic frequency band are reported in this paper. The motivation for the noise characterization is to support the development of acoustic signa
Externí odkaz:
https://doaj.org/article/a1142a2f6b784bedab39b8dfb3e7b83f
Publikováno v:
IEEE Access, Vol 7, Pp 176317-176328 (2019)
Link prediction is a demanding task in real-world scenarios, such as recommender systems, which targets to predict the unobservable links between different objects by learning network-structured data. In this paper, we propose a novel multi-view grap
Externí odkaz:
https://doaj.org/article/1d9996a078c0498dbb647a041b160d3b
Publikováno v:
IEEE Access, Vol 7, Pp 73790-73803 (2019)
The low-cost and easy-deployable mobile ad hoc networks (MANETs) have great potential to serve as the underlay network architecture for implementing lots of critical applications. In order to support different demands in such applications, understand
Externí odkaz:
https://doaj.org/article/1b0e6db313c5407c9b1061d1d058fdab
Publikováno v:
IEEE Access, Vol 7, Pp 99161-99176 (2019)
Currently, with the growth of the Internet of Things devices and the emergence of massive edge resources, security protection content has not only empowered IoT devices with the accumulation of networked computing and storage as a flexible whole but
Externí odkaz:
https://doaj.org/article/6c438d475f1740609c9534aa5c51fffd