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Shanghai, China

Jin H.,Shanghai Customs College
Advanced Materials Research | Year: 2012

A model for wave propagation in variable cross-section bars is developed. Then a numerical simulation method based on CSPM is introduced. Furthermore the wave propagations in stepped bars and conical bars are simulated. The simulation results agree well with the analytical solutions, which demonstrate that the model can describe the wave propagation in variable cross-section bars precisely.

Zheng Y.,Huaibei Normal University | Zhao Z.,Shanghai Customs College | Zhao Z.,Shanghai University
Mathematical Problems in Engineering | Year: 2011

The spatial transport process in fractal media is generally anomalous. The space-fractional advection-diffusion equation can be used to characterize such a process. In this paper, a fully discrete scheme is given for a type of nonlinear space-fractional anomalous advection-diffusion equation. In the spatial direction, we use the finite element method, and in the temporal direction, we use the modified Crank-Nicolson approximation. Here the fractional derivative indicates the Caputo derivative. The error estimate for the fully discrete scheme is derived. And the numerical examples are also included which are in line with the theoretical analysis. Copyright © 2011 Yunying Zheng and Zhengang Zhao.

Hou C.-H.,Shanghai Customs College
Journal of Donghua University (English Edition) | Year: 2014

Traditional clustering method is easy to slow convergence speed because of high data dimension and setting random initial clustering center. To improve these problems, a novel method combining subtractive clustering with fuzzy C-means (FCM) clustering will be advanced. In the method, the initial cluster number and cluster center can be obtained using subtractive clustering. On this basis, clustering result will be further optimized with FCM. In addition, the data dimension will be reduced through the analytic hierarchy process (AHP) before clustering calculating. In order to verify the effectiveness of fusion algorithm, an example about enterprise credit evaluation will be carried out. The results show that the fusion clustering algorithm is suitable for classifying high-dimension data, and the algorithm also does well in running up processing speed and improving visibility of result. So the method is suitable to promote the use. Copyright © 2014.

Ruan G.,Shanghai Customs College
Lecture Notes in Electrical Engineering | Year: 2013

Set pair analysis is a soft computing method to forecast the certainty or uncertainty. Based on the customs risk overall situation, the paper considered the influence among different risk information on the different environment, then put forward that based on the set pair analysis to compute the customs risk. Analyzing the relevancy and weighted mean, the paper computed the possible weights of different risks, set up the consult system model of high, middle and low risk gather, to realize the set pair between reality system and the consult system. The paper resolved the uncertainty of customs risk identification, then formed the analysis model; at last the paper drew a conclusion. © 2013 Springer Science+Business Media.

Duan J.H.,Shanghai Customs College
Applied Mechanics and Materials | Year: 2013

By using fuzzy-neural network algorithm, this paper empirically studied the customs management risk in China. Our research process is summarized as follows: firstly, we describe the situation and development trends of customs management risk; secondly, we employ fuzzy artificial neural network algorithm to establish a conversion mechanism model; finally, we test the effect of this model according to related customs risk management information. © (2013) Trans Tech Publications, Switzerland.

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