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Institution

Henan University of Technology

EducationZhengzhou, China
About: Henan University of Technology is a education organization based out in Zhengzhou, China. It is known for research contribution in the topics: Catalysis & Starch. The organization has 7648 authors who have published 6503 publications receiving 73067 citations. The organization is also known as: Hénán Gōngyè Dàxué.


Papers
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Journal ArticleDOI
TL;DR: The transesterification of soybean oil with methanol was carried out to produce biodiesel, over silica-bonded N-propyl sulfamic acid in a heterogeneous manner and it was found that the free fatty acid and water present in the feedstock had no significant influence on the catalytic activity to theTransesterification reaction.

33 citations

Journal ArticleDOI
TL;DR: The developing assay based on an inner filter effect (IFE) mechanism for detecting TNP is selective, convenient, and shows that the as-prepared Mn-CDs have application prospects for simple and specific analytical chemistry.

33 citations

Journal ArticleDOI
TL;DR: A simple label-free electrochemical detection of telomerase activity by using methylene blue (MB) as a G-quadruplex binding probe was proposed, avoiding commonly used complex label procedures, nano-probe synthesis, complicated electrode modification, probe immobilization or signal amplification.

33 citations

Journal ArticleDOI
TL;DR: In this paper, a three-dimensional nanocatalyst was prepared by compounding multi-wall carbon nanotubes (MWCNTs) with easily modified and doped carbon dots (CDs) as sources of B and N.

33 citations

Journal ArticleDOI
TL;DR: Finite-time H ∞ filtering for one class of discrete-time Markovian jump systems with time-varying norm-bounded disturbance is investigated and stochastic finite-time boundedness is established in terms of linear matrix inequalities with a fixed parameter.
Abstract: This paper investigates the problem of finite-time H ∞ filtering for one class of discrete-time Markovian jump systems with time-varying norm-bounded disturbance. Firstly, the filtering error dynamic system is constructed based on an H ∞ filter with or without the control input. Then, an H ∞ filtering is designed to ensure stochastic finite-time boundedness of the resulting filtering error system and satisfying a prescribed H ∞ attenuation level for the filtering error system in the given finite-time interval. Sufficient criteria on the stochastic H ∞ finite-time boundedness are established in terms of linear matrix inequalities with a fixed parameter. As an auxiliary result, we also tackle the problem of finite-time H ∞ filtering for discrete-time Markovian jump systems without the control input and provide sufficient conditions on finite-time H ∞ filtering for the family of discrete-time Markovian jump systems. Finally, numerical examples are presented to show the validity of the developed techniques.

33 citations


Authors

Showing all 7708 results

NameH-indexPapersCitations
Xin Li114277871389
Yang Liu82169533657
Qing-Hua Qin525059939
Dong-Qing Wei484187839
Feng Qi4758110687
Jian Jian Li461197577
Hongshun Yang461655539
Shuangqiang Chen41735539
Fei Xu403146102
Dennis R. Salahub391329259
Lingbo Qu372914894
Yuting Wang378011820
Zhiyong Jiang361353559
Baoping Tang31832455
Jinliang Liu301072317
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202325
2022128
2021799
2020670
2019574
2018452