Leshan, China

Leshan Normal University

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.

Li W.,Hubei University | Duan Z.,Hubei University | Zhang X.,Hubei University | Zhang H.,Hubei University | And 6 more authors.
Angewandte Chemie - International Edition | Year: 2015

A novel palladium-catalyzed C-H double carbonylation introduces two adjacent carbonyl groups for the synthesis of isatins from readily available anilines. The reaction proceeds under atmospheric pressure of CO with high regioselectivity and without any additives. Density functional theory investigations indicate that the palladium-catalyzed double carbonylation catalytic cycle is plausible. ©2015 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.

Ai Z.,Leshan Normal University | Xu Z.,University of Sichuan
IEEE Transactions on Fuzzy Systems | Year: 2017

Atanassov's intuitionistic fuzzy set (A-IFS) is a powerful tool to handle uncertainty and vagueness in real life. The basic elements of an A-IFS are intuitionistic fuzzy values (IFVs), based on which the intuitionistic fuzzy calculus (IFC) has been proposed recently. However, to date, there is no investigation for intuitionistic fuzzy line integrals (IFLIs) which are very important for further developing IFC. In this paper, we propose the IFLIs and give their concrete values. After that, we investigate a series of basic properties of the IFLIs in detail, and finally, we discuss the relationships among the additive IFLI, the multiplicative IFLI and the intuitionistic fuzzy aggregation operators. IEEE

Men T.,Leshan Normal University
Agro Food Industry Hi-Tech | Year: 2017

In order to avoid the damage of network service by malware, face recognition algorithm is developed. It can effectively decrease the attack of malware or codes to network service, which benefits smooth and high-efficient operation of network service. However, the analysis into the integration of human images and identifying codes is few, so the study of face recognition is hard to conduct. Therefore, this paper firstly introduces the theories relating to CAPTCHA(Completely Automated Public Turing test to tell Computers and Humans Apart), and their categories; later, it explains the working principle of face recognition and inspection so as to indicate the operation; finally, based on the theory above, FR-CAPTCHA is further operated, and it is found to be effective in decreasing the attacks of malware, providing a safe and steady platform for network service.

Feng Z.,Leshan Normal University
Journal of Geometry and Physics | Year: 2017

Let gF be Kähler metrics on rotation invariant domains Ω=Bd, Cd,Bd∗,Cd∗ associated with the Kähler potentials ΦF(z,z¯)=F(ln(‖z‖2)). The purpose of this paper is twofold. Firstly, we obtain explicit formulas of the coefficients aj(j=1,2) of the Bergman function expansion for the domains (Ω,gF). Secondly, we obtain explicit expressions of F when both a1 and a2 are constants on Ω. © 2017 Elsevier B.V.

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.

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.

Loading Leshan Normal University collaborators
Loading Leshan Normal University collaborators