Leshan, China

Leshan Normal University

www.lstc.edu.cn
Leshan, China

Time filter

Source Type

Liu J.,Leshan Normal University
Advances in Intelligent Systems and Computing | Year: 2017

This paper theoretically and empirically enquires, from the perspective of demand side, the impact of macroeconomic factor fluctuation on Sichuan tourism, such as interest rates, national income and price. The study shows that tourism demand proves elastic to price (CPI), national income (GNI capita) and interest rate, and that price and interest rate fluctuations are negatively correlated with domestic tourism demand, while, with which national income (GNI capita) is positively associated. The study also finds that per capita national income and the local consumer price index enjoy strong predictive power for tourism demand. © Springer Science+Business Media Singapore 2017.


Haiyin Q.,Leshan Normal University
ISAPE 2016 - Proceedings of the 11th International Symposium on Antennas, Propagation and EM Theory | Year: 2016

This paper shows some observations which indicate the VHF (Very High Frequency) radar is capable to observe simultaneously the echoes from rain particles and atmospheric turbulences in the rainfall environment. It is helpful to understand the precipitation mechanism and study the microphysical processes of rainfall at the whole heights. © 2016 IEEE.


Long S.,Leshan Normal University | Xu D.,University of Sichuan
Fuzzy Sets and Systems | Year: 2014

In this paper, we investigate the global exponential p-stability of stochastic non-autonomous Takagi-Sugeno fuzzy cellular neural networks with time-varying delays and impulses. By using the property of M-matrix, we establish a new differential inequality and a new L-operator inequality to be effective for non-autonomous Takagi-Sugeno fuzzy systems. Based on the inequalities obtained above, sufficient conditions ensuring the global exponential p-stability of the considered system are obtained. In addition, we derive sufficient conditions ensuring the global exponential stability of the corresponding autonomous systems. Our results improve some early results in the literature. One example is given to illustrate the effectiveness of our proposal. © 2013 Elsevier B.V.


Gao S.,Leshan Normal University
European Physical Journal B | Year: 2016

We study the optimal signal-to-noise ratio in a stochastic time-delayed bistable system.By using the small delay approximation, we transform the time-delayed system intostochastic nondelayed differential equations to obtain the analytic expressions of thesignal-to-noise ratio in different mechanisms. In the valid range of small delayapproximation, we compare the peak values of signal-to-noise ratio curves and obtain theoptimal signal-to-noise ratio. From the results, we find that the interplay of time delayand noise has a great influence on time-delayed bistable systems. © 2016, EDP Sciences, SIF, Springer-Verlag Berlin Heidelberg.


Lai J.,Leshan Normal University
Applied Mechanics and Materials | Year: 2014

Sample entropy can reflect the change of level of new information in signal sequence as well as the size of the new information. Based on the sample entropy as the features of speech classification, the paper firstly extract the sample entropy of mixed signal, mean and variance to calculate each signal sample entropy, finally uses the K mean clustering to recognize. The simulation results show that: the recognition rate can be increased to 89.2% based on sample entropy. © (2014) Trans Tech Publications, Switzerland.


Jing S.-Y.,Leshan Normal University
Soft Computing | Year: 2014

Rough set theory has been proven to be an effective tool to feature subset selection. Current research usually employ hill-climbing as search strategy to select feature subset. However, they are inadequate to find the optimal feature subset since no heuristic can guarantee optimality. Due to this, many researchers study stochastic methods. Since previous works of combination of genetic algorithm and rough set theory do not show competitive performance compared with some other stochastic methods, we propose a hybrid genetic algorithm for feature subset selection in this paper, called HGARSTAR. Different from previous works, HGARSTAR embeds a novel local search operation based on rough set theory to fine-tune the search. This aims to enhance GA's intensification ability. Moreover, all candidates (i.e. feature subsets) generated in evolutionary process are enforced to include core features to accelerate convergence. To verify the proposed algorithm, experiments are performed on some standard UCI datasets. Experimental results demonstrate the efficiency of our algorithm. © 2013 Springer-Verlag Berlin Heidelberg.


This paper discusses properties and existence conditions of minimal solutions to sup-inf fuzzy relation equations over complete Brouwerian lattices. The relationship between minimal solutions to a system of fuzzy relation equations and minimal solutions to a fuzzy relation equation in the system is illustrated by two examples. Necessary and sufficient conditions for the existence of the least solution and minimal solutions to a system of fuzzy relation equations are given. © 2012 Elsevier Inc. All rights reserved.


Wen Z.G.,Leshan Normal University
Advances in Engineering Materials and Applied Mechanics - Proceedings of the 5th International Conference on Machinery, Materials Science and Engineering Applications, MMSE 2015 | Year: 2016

A polyurethane prodrug was synthesized using homemade Ciprofloxacin Biomonomer (CFB) as chain extender and was contrast to prodrug synthesized from ciprofloxacin chain extender. UV and FTIR spectrums showed that CFB was successfully conjugated into the prodrug’s backbone. Contrast to ciprofloxacin, using CFB as the chain extender could availably increase the drug content ratio and drug binding ratio. In addition, using CFB as the chain extender could also narrow the distribution of molecular weight due to its’ symmetric structure. © 2016 Taylor & Francis Group, London.


Lei J.,Leshan Normal University
Future Communication, Information and Computer Science - Proceedings of the International Conference on Future Communication, Information and Computer Science, FCICS 2014 | Year: 2015

This work studied ways to enhance the applicability of English language and literature, analyzing the characteristics of English language and literature talents and problems in the cultivating process. Based on it, ways to improve the applicability of English language and literature are introduced. English Language and Literature calls for a reinforcing applicability and professionalism. Students and graduates are supposed to raise their comprehensive ability to use the language continuously. The innovation of this work is that it stresses the comparison of the same type of subjects, finding out the limited applicability and the competitive pressure of English Language and Literature. © 2015 Taylor & Francis Group, London.


Gao S.-L.,Leshan Normal University
Journal of Statistical Mechanics: Theory and Experiment | Year: 2012

The generalized stochastic resonance (GSR) phenomena in a linear fractional random-delayed system driven by a weak periodic signal and an additive noise are considered in this paper. A random delay is considered for a linear fractional Langevin equation to describe the intercellular signal transmission and material exchange processes in ion channels. By virtue of the small delay approximation and Laplace transformation, the analytical expression for the amplitude of the first-order steady state moment is obtained. The simulation results show that the amplitude curves as functions of different system parameters behave non-monotonically and exhibit typical characteristics of GSR phenomena. Furthermore, a physical explanation for all the GSR phenomena is given and the cooperative effects of random delay and the fractional memory are also discussed. © 2012 IOP Publishing Ltd and SISSA Medialab srl.

Loading Leshan Normal University collaborators
Loading Leshan Normal University collaborators