Institution
Xuzhou Institute of Technology
Educationā¢Xuzhou, Chinaā¢
About: Xuzhou Institute of Technology is a education organization based out in Xuzhou, China. It is known for research contribution in the topics: Catalysis & Adsorption. The organization has 1696 authors who have published 1521 publications receiving 13541 citations.
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TL;DR: In this article, the authors introduced a new system of Jacobi rational functions, which is mutually orthogonal with respect to the weight function on the half line, and proved their convergence.
Abstract: We introduce a new system of Jacobi rational functions, which is mutually orthogonal with respect to the weight function $$x^\beta $$
on the half line. Some properties and approximation results on Jacobi rational functions are established. The Jacobi rational spectral methods are proposed for various elliptic boundary value problems on unbounded domains and their convergence is proved. Numerical results demonstrate the spectral accuracy of these approaches.
5Ā citations
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TL;DR: In this paper, the authors present existence criteria for positive solution of an Ē«-point singular Laplacian dynamic equation on time scales with the sign changing nonlinearity.
Abstract: By using the well-known Schauder fixed point theorem and upper and lower solution method, we present some existence criteria for positive solution of an š-point singular š-Laplacian dynamic equation on time scales with the sign changing nonlinearity. These results are new even for the corresponding differential (š=ā) and difference equations (š=ā¤), as well as in general time scales setting. As an application, an example is given to illustrate the results.
5Ā citations
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TL;DR: In this article, a Hilbert polarization imaging method was proposed to locate the broken wing seam ahead of the tunneling face with high precision, using the spatial density distribution of the diffraction points as a criterion.
5Ā citations
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TL;DR: A regression analysis between hyperparameters and GCN performance shows that there is the obvious optimal point ofhyperparameters, and some empirical suggestion is given to adjust theHyperparameters based on the simulation results.
Abstract: Smart transportation is an essential component of the smart city. Traffic prediction is an important issue in smart transportation. The convolutional neural networks (GCN) are an effective approach for traffic prediction. However, the GCN meets some challenges, such as stability of prediction precision and computation cost, in traffic prediction. The hyperparameters significantly affect the performance of GCN. We conduct a regression analysis between hyperparameters and GCN performance. Our simulation results show that there is the obvious optimal point of hyperparameters. Some empirical suggestion is given to adjust the hyperparameters based on the simulation results.
5Ā citations
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TL;DR: In this paper, the tunable multiple plasmon-induced transparency (PIT) effect was investigated numerically in a metal-insulator-metal (MIM) waveguide with three side-coupled rectangular resonators.
Abstract: The tunable multiple plasmon-induced transparency (PIT) effect is investigated numerically in a metal-insulator-metal (MIM) waveguide with three side-coupled rectangular resonators. The system exhibits dual-mode PIT effects in the visible and near-infrared regions. By adjusting the geometrical parameters of the structure, we can manipulate not only each single PIT window, but also the double PIT windows simultaneously. Our structures may have potential applications for optical communication, integrated optics, and optical information processing. The finite element method (FEM) illustrates our theoretical design.
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Authors
Showing all 1711 results
Name | H-index | Papers | Citations |
---|---|---|---|
Peng Wang | 108 | 1672 | 54529 |
Qiong Wu | 51 | 316 | 12933 |
Wenping Cao | 34 | 176 | 4093 |
Bin Hu | 30 | 213 | 3121 |
Syed Abdul Rehman Khan | 29 | 131 | 2733 |
Jingui Duan | 29 | 93 | 3807 |
Vivian C.H. Wu | 25 | 105 | 2566 |
Lei Chen | 16 | 99 | 1062 |
Chao Wang | 16 | 74 | 741 |
Wenbin Gong | 16 | 27 | 953 |
Jing Li | 16 | 40 | 1025 |
Chao Liu | 15 | 43 | 737 |
Qinglin Wang | 14 | 72 | 595 |
Yaocheng Zhang | 14 | 54 | 566 |
Chao Wang | 13 | 25 | 774 |