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Wucheng, China

Shanxi University of Finance and Economics simplified Chinese: 山西财经大学; traditional Chinese: 山西財經大學; pinyin: shanxi cáijīng dàxué), founded in 1951, is one of the earliest financial universities in China. The university sticks to highlighting the academic characteristics and advantages of Economics and Management, focusing on Economics, Management and Laws as the mainstay subjects and developing interdependently Economics, Management, Laws, Literal Arts, Science, Engineering and Teaching. Wikipedia.


Liang M.,Xian University of Technology | Liang M.,Shanxi University of Finance and Economics | Zhu H.,Xian University of Technology
Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument | Year: 2014

The accurate estimation of the point spread function (PSF) of degradation model is the key point in image restoration. Aiming at the fact that the blur PSF parameters of uniform linear motion are unknown, a blur parameter estimation method is proposed based on frequency spectrum correlation coefficient analysis with reference image. Specifically, using the motion blur direction property of the blurred image twice Fourier transform spectrum, a clear reference image is blurred with a fix blur length and various blur directions, and then the blur direction estimation is achieved through analyzing the spectrum correlation maximum between the blurred reference image and the image to be restored. The direction error can be limited in a small range by using a defined adjustment matrix. Furthermore, the motion blur direction and blur length can be calculated accurately by analyzing the spectrum correlation in Fourier frequency domain. The experiment results show that for noise free blurred image, there are no direction and length estimation errors in any direction and within the blur length range of 10 Source


Sheng D.-L.,Shanxi University of Finance and Economics
Advances in Mathematical Physics | Year: 2016

Unlike traditionally used reserves models, this paper focuses on a reserve process with dynamic income to study the reinsurance-investment problem for an insurer under Vasicek stochastic interest rate model. The insurer's dynamic income is given by the remainder after a dynamic reward budget being subtracted from the insurer's net premium which is calculated according to expected premium principle. Applying stochastic control technique, a Hamilton-Jacobi-Bellman equation is established and the explicit solution is obtained under the objective of maximizing the insurer's power utility of terminal wealth. Some economic interpretations of the obtained results are explained in detail. In addition, numerical analysis and several graphics are given to illustrate our results more meticulous. Copyright © 2016 De-Lei Sheng. Source


Li X.,Shanxi University of Finance and Economics
International Journal of Earth Sciences and Engineering | Year: 2014

Digital agriculture is made and developed on the basis of “digital earth”, and is a new type of agricultural patterns and challenging national goals in the 21st century. This article uses the spatial analysis and overlay function of GIS to conduct disaster monitoring in agriculture. In addition, spatial clustering analysis is introduced in this paper to divide spatial objects in GIS into clusters according to certain rules. It has great significance for the development of agricultural science and technology to use K- mean value cluster algorithm as the data preprocessing before spatial interpolation and apply this method in agriculture disaster loss analysis model. © 2014 CAFET-INNOVA TECHNICAL SOCIETY. All rights reserved. Source


Jiao Y.,Harbin Institute of Technology | Jiao Y.,Shanxi University of Finance and Economics | Zhao Q.,Harbin Institute of Technology | Jin W.,Harbin Institute of Technology | And 2 more authors.
Bioresource Technology | Year: 2011

In this study, specialized bacteria were domesticated and cultivated with polluted stream water. The bioaugmentation of specialized bacteria would significantly enhance the removal efficiency of TN and NH 4 +-N from 25.9% to 50.3%, and from 34.5% to 60.1%, respectively. Concomitant increases in the number of microbial communities and the proportion of nitrifying bacteria were also identified by the most probable number (MPN) method. PCR-DGGE profiles revealed that the bacterial community could be successfully enriched and the ammonia-oxidizing bacteria communities were shown predominant by the species of Nitrosomonas. The biological contact oxidation ditch (BCOD) system augmented with specialized bacteria can be a viable alternative for treating polluted stream water to achieve improved nitrogen removal. © 2010 Elsevier Ltd. Source


Zhang G.,Harbin Institute of Technology | Zhao Q.,Harbin Institute of Technology | Jiao Y.,Shanxi University of Finance and Economics | Wang K.,Harbin Institute of Technology | And 3 more authors.
Biosensors and Bioelectronics | Year: 2012

Microbial fuel cells (MFCs) represent a new biological method for generating electricity directly from biodegradable compounds. Efficiency of MFCs using manure as substrate is generally low. This study proposed a new design by incorporating biocathodes into a three-chamber MFC, which yielded maximum power densities much higher than those reported in literature. The new design placed cylindrical anode chamber for easy stirring and two symmetrical cathodic chambers with reduced anode-cathode distance. The biocathodes were applied to reduce charge transfer resistance. Additionally, biocathode microbial community was cultured to enrich favorable microorganisms. With external loading of 100Ω, the power densities for new biocathode MFC using 2, 4, 6, 8 and 10% total solids diary manure reached 7.85±1.0Wm -3, 7.84±1.20Wm -3, 8.15±0.20Wm -3, 7.60±0.97Wm -3 and 5.63±0.97Wm -3, respectively. The pH drop as a result of manure hydrolysis limited the power output. To provide detailed information of the microbial community in the biocathode MFC, the 454-pyrosequencing technique was adopted. The Firmicutes, γ-, β-, α- and δ-Proteobacteria, Bacteroidetes and Actinobacteria were the major groups on the anode, while γ-, β-, and α-Proteobacteria, Bacteroidetes and Actinobacteria were the predominant groups on the cathode. © 2011 Elsevier B.V. Source

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