Advanced Research on Material Engineering, Chemistry, Bioinformatics

Paper Title Page

Authors: Lei Ye, Shu Ding, Yuan Lu Cui, Qiang Song Wang, Ye Zhang
Abstract: This article presents the optimization of process parameters in chitosan-gelatin composite microcarriers preparation based on multi-index test breakdown formula evaluation combined with orthogonal array. In this study, the concentration of crosslinker solution, the concentration of water phase and stirring speed were considered as controllable factors, and three levels for each of these factors were selected, in an L9 orthogonal array. The optimal levels of the process parameters were determined through the range analysis and the relative importance among the process parameters were identified through analysis of variance. According to the evaluations of particle size, morphological analysis, compressibility, and equilibrium swelling from the nine different sets, the optimum combinations for microcarriers preparation were showed as: the concentration of crosslinker solution:0.5% (wt/v), the concentration of water phase:5% (wt/v) and stirring speed:240 rpm.
Authors: Ning Liu, Bin Guo, Xin Ju Li, Yao Lun Zhao, Xin Gang Wang
Abstract: Soil characteristics spatial variability is one of the important attributes of soil, while land use is the most universal, the most direct and the most profound factor which affect soil quality. In this study, by the land statistics analysis of the soil characteristic in Kenli County, we study the spatial variability of soil characteristics on different land use types and the reasons for these variations produced. Research found that land use type has profound effect on soil characteristics in Kenli County. Different land parcel, different soil or terrain and different management measures can make it cause different variation structure.
Authors: Yang Liu, Jing Kun Yu
Abstract: Allyl phenol-formaldehyde (APF) resin was synthesized by using phenol-formaldehyde (PF) resin and allyl chloride as raw materials and sodium hydroxide as alkali catalyst, and its curing process was investigated. The results showed that APF could not only dissolve in polar solvents, but also dissolve in nonpolar solvent. The APF started curing from around 180°C, and it was higher than PF. The curing took place by polyaddition at allyl double bonds, and a wider controllable curing range of 44°C was obtained. The cured surface of the matrix manifested a continuous phase.
Authors: Hui Ming Peng, Jia Wen Bian, Hong Wei Li
Abstract: This study is focused on the development of clinically applicable nanocarriers for bone regeneration by establishing a systematic modeling guided nanocarriers development methodology. Firstly a drug release model is built through different release mechanisms to predict the profiles of drugs released from nanospheres. Then a cell response model is built through multiple signaling pathways related to the released drugs to predict the relationship between the drug profiles and the terminal cell phenotypes. Finally the cell response model combined with the drug release model will be employed to optimally predict the relationship between the input and output of the complete model, to establish an entire system with tunable input and output, and finally by optimal control to guide and accelerate the design of the BMP-2 and vancomycin incorporated nanocarriers.
Authors: Bao Min Yu
Abstract: Wavelet analysis has been a powerful tool for exploring and solving many complicated problems in natural science and engineering computation. In this paper, we investigate the existence of matrix-valued wavelet associated with a matrix-valued multireslution analysis. By using operator polar decomposition, we provide a new proof for the existence of matrix-valued wavelets. We prove that, like in the scalar case, every matrix-valued multiresolution analysis guarantees the existence of an orthogonal matrix-valued wavelet.
Authors: Feng Wang, Gui Tang Wang, Rui Huang Wang, Xiao Wu Huang
Abstract: This paper introduces a design of gaussian Laplace edge detection algorithm model based on system generator which can be realized in FPGA.The data of a two- dimensional image was changed into a one-dimensional array,before line buffering in two Dual port RAM,the convolution of the image pixel data and the LOG template was carried out in the modules constituted of the component elements such as AddSub, Shift and Delay . After getting the absolute value with the modules of Slice,Negate and Mux ,the output was the image after edge-detection .The module function and the selecting principle was analyzed from the point of view of saving FPGA resources.The WaveScope and resource estimator showed that :not only the detection result and the running speed was guaranteed but also the FPGA resources can be saved .
Authors: Yong Lin Wang, Yan Liu, Sheng Bing Che
Abstract: BP neural network has strong fault-tolerant and adaptive learning capacity, so it is widely used in pattern recognition. Based on the classic BP neural network, parameters of the BP algorithm has been optimized, which achieved a classification based on the improved BP neural network algorithm. By discussing the use of BP neural network in the application of pattern classification recognition, this paper detailedly studies the recognition effect of various parameters. Experimental results show that the improved algorithms has very good practical value.
Authors: Yong Ming Cai, Qing Chang
Abstract: As a major statistical learning method in case of small sample, Support Vector Machine Algorithm (SVM) has some disadvantages in dealing with vast amounts of data, such as the memory overhead and slow training. we use Multi-class Support Vector Machine (MSVM) with Self-Organize Selective Fusion (SOSF) to optimize the multiple classifiers selectively, which can update the classification and self-adjust its classification performance, and eliminate some redundancy and conflicts, achieve the fusion of multiple classifiers selectively, and effectively solve the shortcoming of disturbances by the sub-samples distribution in large sample, and improve the training efficiency and classification efficiency.
Authors: Jia Lei Tan, Yu Shu Xie, Xiao Feng Zhang, Tong Wang
Abstract: Small-scale burning experimental study of computer monitors and paper was done based on cone calorimeter. The small and middle scale fires were simulated by changing the heat radiation intensity of cone calorimeter. The heat release rate, mass loss rate and production rate of CO was measured in experiment. The data of mass loss rate and CO production rate is fitted, and the formula of its change with time is obtained. The computer monitor has slow pyrolysis speed on the 35 kW/m2, and the carbon layer on surface gradually thickened. So the heat will accumulate, and then the pyrolysis speed increases. The heat release rate reaches to the second peak. The fire growth index of monitor increases as the heat radiation intensity. But the fire growth index of paper has the opposition trend. The CO production rate of computer monitor is larger than paper’s. The experiment results can reflect the combustion characteristics of computer monitor on real fires.
Authors: Ai Juan Zhang, Cheng Ji, Jian Wang
Abstract: Distributed applications require integrating security policies of collaborating parties, and the policies must be able to support complex authorization specifications and conflicts of policies must be able to be detected. In this paper, we introduce a policy for fine-grained access control which is able to support the specifications with sufficient policy constraints, and then we present a methodology based on semantics to detect whether there are policy conflicts and then produce the XACML policy document.

Showing 31 to 40 of 176 Paper Titles