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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.


Papers
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Journal Articleā€¢DOIā€¢
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

Journal Articleā€¢DOIā€¢
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‘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

Journal Articleā€¢DOIā€¢
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

Journal Articleā€¢DOIā€¢
Lei Chen1, Lulu Bei1, Yuan An1, Kailiang Zhang1, Ping Cui1Ā ā€¢
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

Journal Articleā€¢DOIā€¢
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.

5Ā citations


Authors

Showing all 1711 results

NameH-indexPapersCitations
Peng Wang108167254529
Qiong Wu5131612933
Wenping Cao341764093
Bin Hu302133121
Syed Abdul Rehman Khan291312733
Jingui Duan29933807
Vivian C.H. Wu251052566
Lei Chen16991062
Chao Wang1674741
Wenbin Gong1627953
Jing Li16401025
Chao Liu1543737
Qinglin Wang1472595
Yaocheng Zhang1454566
Chao Wang1325774
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20237
202228
2021328
2020181
2019121
201873