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Institution

Hengyang Normal University

EducationHengyang, China
About: Hengyang Normal University is a education organization based out in Hengyang, China. It is known for research contribution in the topics: Graphene & Adsorption. The organization has 1087 authors who have published 1280 publications receiving 13850 citations. The organization is also known as: Hengyang Teachers' College & Héngyáng Shīfàn Xuéyuàn.


Papers
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Journal Article
TL;DR: In this article, the authors introduce the method of building ARMA model,Modeling on the history of Long Ping Gaoke yield sequence data and using EVIEWS software and SPSS software as analysis tools.
Abstract: This paper mainly introduces the method of building ARMA model,Modeling on the history of Long Ping Gaoke yield sequence data and using EVIEWS software and SPSS software as analysis tools.The results shows that the model has plays a very good guiding roles in the short-term investment decision-making.

4 citations

Journal ArticleDOI
TL;DR: In this paper, a simple method is proposed to transform the PSHE from momentum space to position space by rational design of the optical path through two identical Pancharatnam-Berry phase metasurfaces.
Abstract: Photonic spin Hall effect (PSHE) in momentum space can lead to a giant spin-dependent splitting (SDS). However, the SDS in momentum space increases linearly with beam propagation distance, which limits its applications. In this work, a simple method is proposed to transform the PSHE from momentum space to position space. We first theoretically analyze the feasibility of the transformation. The results show that the transformation can be realized when a light wave passes through two identical Pancharatnam–Berry phase metasurfaces. Then an experimental setup is established to verify the theoretical results. Through rational design of the optical path, only one metasurface is needed to complete the transformation of PSHE from momentum space to position space. The experimental results agree well with theoretical calculations. We believe that these results are helpful for the design of photonics devices based on PSHE.

4 citations

Journal ArticleDOI
TL;DR: A smoothing SQP algorithm is proposed for solving a new class of optimization problems arising from power systems, known as nonlinear programs with stability constraints (NPSC), and the global convergence of algorithm is established.
Abstract: This paper investigates a new class of optimization problems arising from power systems, known as nonlinear programs with stability constraints (NPSC), which is an extension of ordinary nonlinear programs. Since the stability constraint is described generally by eigenvalues or norm of Jacobian matrices of systems, this results in the semismooth property of NPSC problems. The optimal conditions of both NPSC and its smoothing problem are studied. A smoothing SQP algorithm is proposed for solving such optimization problem. The global convergence of algorithm is established. A numerical example from optimal power flow (OPF) is done. The computational results show efficiency of the new model and algorithm.

3 citations

Journal ArticleDOI
TL;DR: Some sufficient and realistic conditions for the existence of positive periodic solution of a general neutral impulsive -species competitive model with feedback control are acquired by applying some analysis techniques and a new existence theorem, which is different from Gaines and Mawhin's continuation theorem and abstract continuation theory for -set contraction.
Abstract: We acquire some sufficient and realistic conditions for the existence of positive periodic solution of a general neutral impulsive -species competitive model with feedback control by applying some analysis techniques and a new existence theorem, which is different from Gaines and Mawhin's continuation theorem and abstract continuation theory for -set contraction. As applications, we also examine some special cases, which have been studied extensively in the literature, some known results are improved and generalized.

3 citations

Journal ArticleDOI
TL;DR: This paper investigates the dynamical behaviors of a novel class of Cohen-Grossberg neural networks with not only mixed time delays, i.e., time varying delays and distributed delays, but also discontinuous activations, which may be unbounded or nonmonotonic.

3 citations


Authors

Showing all 1097 results

NameH-indexPapersCitations
Jian Liu117209073156
Jin-Heng Li442275749
He-Xiu Xu37933620
Wei Zhou351914238
Lixin Xiao331865300
Xiaohui Ling31903197
Junhua Li28772205
Shan Zou27912894
Xiaojiang Peng23732860
Ying Yan21691163
Zhifeng Xu21341490
Fulong Chen20721009
Zhifeng Yang20341923
Man-Sheng Chen20291568
Lei Wang191581466
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20234
202227
2021145
2020175
2019116
2018102