scispace - formally typeset
Search or ask a question
Institution

Beijing University of Posts and Telecommunications

EducationBeijing, Beijing, China
About: Beijing University of Posts and Telecommunications is a education organization based out in Beijing, Beijing, China. It is known for research contribution in the topics: MIMO & Quality of service. The organization has 39576 authors who have published 41525 publications receiving 403759 citations. The organization is also known as: BUPT.


Papers
More filters
Journal ArticleDOI
TL;DR: A simple encoding method is established, which can concurrently ease the selection of quantum states and ensure the scheme's security, i.e., even if the ($k,n$)-level judgment spaces of the selected quantum states are not equal, these states can still be used for defeating the unambiguous attack.
Abstract: In this study, we propose the concept of judgment space to investigate the quantum-secret-sharing scheme based on local distinguishability (called LOCC-QSS). Because of the proposing of this conception, the property of orthogonal mutiqudit entangled states under restricted local operation and classical communication (LOCC) can be described more clearly. According to these properties, we reveal that, in the previous ($k,n$)-threshold LOCC-QSS scheme, there are two required conditions for the selected quantum states to resist the unambiguous attack: (i) their $k$-level judgment spaces are orthogonal, and (ii) their ($k\ensuremath{-}1$)-level judgment spaces are equal. Practically, if $kln$ (this is almost always true in the LOCC-QSS scheme), it is very difficult to satisfy the two conditions simultaneously. In the current study, we further establish a simple encoding method, which can concurrently ease the selection of quantum states and ensure the scheme's security, i.e., even if the ($k\ensuremath{-}1$)-level judgment spaces of the selected quantum states are not equal, these states can still be used for defeating the unambiguous attack. With this encoding method, we propose a more secure ($k,n$)-threshold LOCC-QSS scheme, and give two specific examples for illustration.

88 citations

Proceedings ArticleDOI
15 Dec 2013
TL;DR: Experimental results indicate that the improved particle swarm optimization approach significantly outperforms other approaches, and can lessen 13%-23% energy consumption in the context of this paper.
Abstract: A critical research issue is to lower the energy consumption of a virtualized data center by means of virtual machine placement optimization while satisfying the resource requirements of the cloud services. In this paper, we focus on different existing schemes and on the energy-aware virtual machine placement optimization problem of a heterogeneous virtualized data center. We attempt to explore a better alternative approach to minimizing the energy consumption, and we observe that particle swarm optimization (PSO) has considerable potential. However, the PSO must be improved to solve an optimization problem. The improvement includes redefining the parameters and operators of the PSO, adopting an energy-aware local fitness first strategy and designing a novel coding scheme. Using the improved PSO, an optimal virtual machine replacement scheme with the lowest energy consumption can be found. Experimental results indicate that our approach significantly outperforms other approaches, and can lessen 13%-23% energy consumption in the context of this paper.

88 citations

Journal ArticleDOI
01 Mar 2020
TL;DR: In this article, a core-satellite BaTiO3-CoFe2O4 (BT-CF) structures with a BT core of 100nm and CF satellites on the surface of the BT particle were prepared.
Abstract: Dielectric polymer-based nanocomposites with high dielectric constant and energy density have attracted extensive attention in modern electronic and electrical applications. Core-satellite BaTiO3-CoFe2O4 (BT-CF) structures with a BT core of ~ 100 nm and CF satellites (~ 28 nm) on the surface of the BT particle were prepared. The dielectric properties and energy storage density of PVDF nanocomposites were enhanced by BT-CF heterostructures at a small loading of CF nanoparticles. Compared to the general adopted BT/PVDF composites, the dielectric constant can be effectively improved with no additional loss by introducing a small amount of CF nanoparticles to the BT/PVDF composite. Moreover, the energy density and efficiency of the BT/PVDF nanocomposites were also improved by the small loading of CF. The discharged energy density of the BT-CF/PVDF nanocomposites with 7 wt.% CF nanoparticles showed that the maximal energy density value is 5.60 J/cm3 at the electric field of 263 kV/mm. The results showed that the small amount of CF nanoparticles has beneficial effects on enhancing the dielectric constant and energy storage of the BT/PVDF nanocomposites.

88 citations

Journal ArticleDOI
TL;DR: This paper optimizes the PCA algorithm for dimension reduction of image feature extraction by deep learning, aiming at the problem that it is difficult to process high-dimensional sparse big data based on PCA algorithms.

88 citations

Journal ArticleDOI
TL;DR: In this article, a method for the closed-form forward displacement analysis (FDA) of the Stewart platform mechanism (SPM) with coplanar ball-joints is presented.

88 citations


Authors

Showing all 39925 results

NameH-indexPapersCitations
Jie Zhang1784857221720
Jian Li133286387131
Ming Li103166962672
Kang G. Shin9888538572
Lei Liu98204151163
Muhammad Shoaib97133347617
Stan Z. Li9753241793
Qi Tian96103041010
Xiaodong Xu94112250817
Qi-Kun Xue8458930908
Long Wang8483530926
Jing Zhou8453337101
Hao Yu8198127765
Mohsen Guizani79111031282
Muhammad Iqbal7796123821
Network Information
Related Institutions (5)
Beihang University
73.5K papers, 975.6K citations

88% related

National Chiao Tung University
52.4K papers, 956.2K citations

87% related

Harbin Institute of Technology
109.2K papers, 1.6M citations

87% related

Tsinghua University
200.5K papers, 4.5M citations

87% related

Southeast University
79.4K papers, 1.1M citations

86% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202394
2022533
20213,009
20203,720
20193,817
20183,297