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Chen Y.,Yibin University | Hu W.,Yibin University | Feng Y.,Northwest University, China | Sweeney S.,Northwest University, China
Renewable and Sustainable Energy Reviews | Year: 2014

Developing biogas capacity is a key pillar in China's rural sustainable development program. The very dynamic transition of the rural socio-economic platform on which the current biogas development strategy has been based will require significant adjustments in material, technology and supply. The changes of socio-economic status, the problems of resent state and prospects of rural biogas development in China, including fermentation material, fermentation technology, development model and comprehensive utilization of biogas, are discussed in this paper. The results of our analysis indicated the full use of straw as a raw material will be the direction of biogas development in China. Dry methane fermentation will become an important method in the large scale production of biogas from agricultural wastes. The central supply model is the future biogas development model in rural China. It is with broad market and great potential to produce commercial fertilizer from biogas residue. Using biogas to generate electricity has become a new and efficient way to use biogas. © 2014 Elsevier Ltd.

Zhong F.,Southwest Jiaotong University | Zhong F.,Yibin University | Zhang J.,Southwest Jiaotong University
Neurocomputing | Year: 2013

This paper presents a novel approach based on enhanced local directional patterns (ELDP) to face recognition, which adopts local edge gradient information to represent face images. Specially, each pixel of every facial image sub-block gains eight edge response values by convolving the local 3×3 neighborhood with eight Kirsch masks, respectively. ELDP just utilizes the directions of the most prominent edge response value and the second most prominent one. Then, these two directions are encoded into a double-digit octal number to produce the ELDP codes. The ELDP dominant patterns (ELDPd) are generated by statistical analysis according to the occurrence rates of the ELDP codes in a mass of facial images. Finally, the face descriptor is represented by using the global concatenated histogram based on ELDP or ELDPd extracted from the face image which is divided into several sub-regions. The performances of several single face descriptors not integrated schemes are evaluated in face recognition under different challenges via several experiments. The experimental results demonstrate that the proposed method is more robust to non-monotonic illumination changes and slight noise without any filter. © 2013 Elsevier B.V.

Zhong F.,Southwest Jiaotong University | Zhong F.,Yibin University | Zhang J.,Southwest Jiaotong University
IEEE Transactions on Image Processing | Year: 2013

Linear discriminant analysis (LDA) is a well-known dimensionality reduction technique, which is widely used for many purposes. However, conventional LDA is sensitive to outliers because its objective function is based on the distance criterion using L2-norm. This paper proposes a simple but effective robust LDA version based on L1-norm maximization, which learns a set of local optimal projection vectors by maximizing the ratio of the L1-norm-based between-class dispersion and the L1-norm-based within-class dispersion. The proposed method is theoretically proved to be feasible and robust to outliers while overcoming the singular problem of the within-class scatter matrix for conventional LDA. Experiments on artificial datasets, standard classification datasets and three popular image databases demonstrate the efficacy of the proposed method. © 1992-2012 IEEE.

Qin F.,Yibin University
Research Journal of Applied Sciences, Engineering and Technology | Year: 2013

In order to improve the quality of restored image, a blind image restoration algorithm is proposed, in which both the Signal-to-Noise Ratio (SNR) and the Gaussian Point Spread Function (PSF) of the degraded image are estimated. Firstly, the SNR of the degraded image is estimated through local deviation method. Secondly, the PSF of the degraded image is estimated through error-parameter method. Thirdly, Utilizing the estimated SNR and PSF, high resolution image is restored through Wiener filtering restoration algorithm. Experimental results show that the quality and peak signal-to-noise of the restored image are better around the real value and justify the fact that the SNR an-d PSF estimation plays great important part in blind image restoration. © Maxwell Scientific Organization, 2013.

Qin F.,Yibin University
2012 5th International Congress on Image and Signal Processing, CISP 2012 | Year: 2012

In order to improve the quality of the defocus blurred image, the defocus point spread function (PSF) of the imaging system needs to be estimated. A blind image restoration algorithm was proposed, in which the defocus PSF of the blurred image was estimated through error-parameter estimation method. Firstly, the error-parameter curve was generated through Wiener filtering algorithm. Then, by analyzing the error-parameter curve, the defocus radius of the blurred image was estimated. Finally, utilizing the estimated PSF, image restoration was performed through Wiener filtering algorithm. Experimental results showed that the defocus PSF was estimated with high accuracy, and justified the fact that the defocus PSF estimation plays a great important part in blind image restoration. © 2012 IEEE.

Qin F.,Yibin University
Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010 | Year: 2010

In order to improve the spatial resolution of the super resolution reconstructed image, an improved image super resolution reconstruction algorithm is proposed. In iterative back projection (IBP) algorithm, the initial value is estimated through wavelet locally adaptive interpolation method, other than in the traditional interpolation way. Image super resolution reconstruction is performed on multiple simulated low resolution images, experimental results show that the initial value plays an important part in super resolution reconstruction algorithm. The reconstructed image achieves better visual effect and higher peak signal to noise ratio (PSNR). The IBP algorithm has less estimation error and faster convergent speed than other method. This initial value estimation method can also be extensively used in other iterative super resolution algorithms. ©2010 IEEE.

Chen Y.,Yibin University | Hu W.,Yibin University | Sweeney S.,Northwest University, China
Renewable and Sustainable Energy Reviews | Year: 2013

The objective of this study was to assess biogas production capacity in different regions of China based on climate conditions and substrate availability. The results of our analysis indicated large differences in below-ground temperature and solar energy resources among different regions of China. According to data collected in 2006, slightly more than 1200 million tons of crop residue and manure could be used as substrates for biogas production. We suggest that household biogas technology must be developed according to local conditions. © 2013 Published by Elsevier Ltd.

Zhong F.J.,Yibin University
Applied Mechanics and Materials | Year: 2013

In this paper, we propose a simple but effective bidirectional 2DPCA based on Ll-norm maximization ((2D)2PCA-Ll). Traditional bidirectional 2DPCA is sensitive to outliers for its L2-norm-based least squares criterion, while (2D)2PCA-Ll is robust. Experimental results demonstrate its advantages in the fields of data compression and object recognition. © (2013) Trans Tech Publications, Switzerland.

Qin X.,Hangzhou Normal University | Chang S.-S.,Yibin University | Cho Y.J.,Gyeongsang National University
Nonlinear Analysis: Real World Applications | Year: 2010

In this paper, we consider an iterative method for finding a common element of the set of a generalized equilibrium problem, of the set of solutions to a system of variational inequalities and of the set of fixed points of a strict pseudo-contraction. Strong convergence theorems are established in the framework of Hilbert spaces. The results presented in this paper improve and extend the corresponding results announced by many others. © 2009 Elsevier Ltd. All rights reserved.

The aim of this study is to develop a new potentiometric immunoassay for carbohydrate antigen-125 (CA125) in human serum by using poly(amidoamine) dendrimer-modified multifunctional magnetic beads conjugated with antibodies as immunosensing probes. With an external magnet, the developed immunosensor exhibited rapid potential response and wide linear range from 0.5 to 55 U/mL with a low detection limit of 0.1 U/mL CA125. The precision, selectivity, and stability of the developed immunosensor were acceptable. Analytical results obtained for the clinical serum specimen by the developed immunosensor were in accordance with those assayed by the enzyme-linked immunosorbent assay method. © Taylor & Francis Group, LLC.

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