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Institution

Xuzhou Institute of Technology

EducationXuzhou, China
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 ArticleDOI
TL;DR: Based on the Hirota bilinear form of the (3+1)-dimensional Jimbo–Miwa equation, ten classes of its lump-type solutions are generated via Maple symbolic computations, whose analyticity can be easily achieved by taking special choices of the involved parameters.
Abstract: Based on the Hirota bilinear form of the (3+1)-dimensional Jimbo–Miwa equation, ten classes of its lump-type solutions are generated via Maple symbolic computations, whose analyticity can be easily achieved by taking special choices of the involved parameters. Those solutions supplement the existing lump-type solutions presented previously in the literature.

108 citations

Journal ArticleDOI
TL;DR: In this paper, the photocatalytic improvement mechanism of 20% Fe3O4/FeWO4 was proposed to improve the efficiency of aqueous Cr(VI) under visible light (λ < 420 nm) irradiation.

108 citations

Journal ArticleDOI
TL;DR: The findings revealed that environmental sustainability is strongly and positively associated with national scale-level green practices, including renewable energy, regulatory pressure, and eco-friendly policies, and sustainable use of natural resources.
Abstract: Considering the importance of green economic growth and environmental sustainability in the discussion, it is crucial to understand its critical contributing factors and to draw results implications for the green policy. This research used the data of the South Asian Association for Regional Cooperation (SAARC) member countries for a period from 2005 to 2017. It adopted the panel autoregressive distributed lag technique to examine the hypotheses. The findings revealed that environmental sustainability is strongly and positively associated with national scale-level green practices, including renewable energy, regulatory pressure, and eco-friendly policies, and sustainable use of natural resources. Conversely, in our model, the "regulatory pressure" has an insignificant effect on economic growth. A necessary contribution of the present study is that a positive effect of green practices on national scale economic and environmental variables, particularly in the scenario of SAARC member states, can be noticed. At the end of the present study, we have provided policy implications for regulatory authorities and discussed potential areas for future research.

102 citations

Journal ArticleDOI
01 Sep 2016
TL;DR: It was concluded that all the four methods can work satisfactorily on accuracy, in an order of the PSO-SVM ranking the first, followed by the RBM that functioned the friendliest, and would be most suitable for real-time applications.
Abstract: Display Omitted A rule-based method was proposed based on MLEM2 and enhanced by a new rule reasoning mechanism.Eight time-domain and five dimensionless frequency-domain parameters were adopted.The proposed method had the ability of feature reduction.The proposed method was an all-rounder compared with KNN, PNN and PSO-SVM as it was very friendly. Condition monitoring of rotating machinery is important to promptly detect early faults, identify potential problems, and prevent complete failure. Four direct classification methods were introduced to diagnose the regular condition, inner race defect, outer race defect, and rolling element defect of rolling bearings. These include the K-Nearest Neighbor algorithm (KNN), Probabilistic Neural Network (PNN), Particle Swarm Optimization optimized Support Vector Machine (PSO-SVM) and a Rule-Based Method (RBM) based on the MLEM2 algorithm and a new Rule Reasoning Mechanism (RRM). All of them can be run on the Fault Decision Table (FDT) containing numerical variables and output fault categories directly. The diagnosis results were discussed in terms of accuracy, time consumption, intelligibility, and maintainability. Especially, the interactions of the systems and human experts were compared in detail. It was concluded that all the four methods can work satisfactorily on accuracy, in an order of the PSO-SVM ranking the first, followed by the RBM that functioned the friendliest. Moreover, the RBM had the ability of feature reduction by itself, and would be most suitable for real-time applications.

101 citations

Journal ArticleDOI
TL;DR: In this article, a pyrolysis method was used to construct the ternary FeCoNi alloy nanoparticles that encapsulated with bamboo-like N-doped carbon nanotubes (N-CNTs).

96 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