Advanced Materials Research Vol. 459

Abstract: When image with Gaussian white noise being de-noised by wavelet threshold, there are some problems such as blurring and the loss of details of edges of image. To solve above problems, image de-noising method based on wavelet transform and Wiener filtering is proposed in the paper, first using wavelet threshold to de-noise, and then using Wiener filter to smooth the image so as to get high image quality. Experimental results show that this algorithm on de-noising proposed not only can effectively suppress Gaussian white noise, but also can well preserve the details of image edges

Abstract: Based on discussing the advantages of improving genetic algorithm and analyzing the defects of back propagation neural network, we presented the genetic neural model. The simulating data proved that the genetic neural model was able to realize parallel search and could get faster searching speed during random searching optimizaiton. The model was applied to predicting distribution of guava fruit fly. The experimental results show that the model can predict distribution of the fly which is consistent with the practical distribution. The model is very useful in practice. It is worthwhile to refer the model to predicting similar insects.

Abstract: Spectrum detection is a critical technology in cognitive radio, which involves two very important parameters: detection period and detection time. Firstly, in order to improve spectrum efficiency and reduce the interference to authorized users, detection period optimization is adopted to maximize spectrum access opportunities and minimize the interference to authorized users. Secondly, under the target detection probability constraints, detection time optimization is adopted to maximize the achievable normalized throughput when CR user detects the channel. At last, we develop the joint-optimization algorithm of detection period and detection time. Compared with the method in literature [9], it can be found that our joint-optimization algorithm can actually improve spectrum access opportunities. Compared with single-optimization method of detection period and detection time, our algorithm can also greatly improve the achievable normalized throughput when CR user detects the channel

Abstract: A novel method to fault diagnosis of bearing based on empirical mode decomposition (EMD) and envelope spectrum is presented. EMD method is self-adaptive to non-stationary and non-linear signal. The methodology developed in this paper decomposes the original vibration signal in intrinsic oscillation modes, using the empirical mode decomposition. Then the envelope spectrum is applied to the selected intrinsic mode function that stands for the bearing faults. The basic principle is firstly introduced in detail. Then the EMD is applied in the research of the fault detection and diagnosis of the bearing. The experimental results show that the proposed method based on EMD and envelope spectrum analysis technique can effectively diagnose the faults of bearing.

Abstract: With an increasingly competitive market and the homogenization of products, the cultivation and building of the competitiveness of enterprises depends largely on the obtaining information in the business marketing, in order to respond to changes of the environment of market.Firstly, this paper describes the basic principles of fuzzy clustering analysis.Secondly, it describes the general steps and related concepts. At last, it classifies five smartphone brands effectively through the use of fuzzy clustering analysis method to combine quantitative and qualitative market for smartphones. By the results, we obtain more realistic market conditions

Abstract: Heat shock protein 72 (HSP72) and glycoprotein 96 (gp96) are highly expressed in cancer tissues. Recent studies indicate the possible roles of HSP72 and gp96 in the development and progression of lung carcinomas but detailed information is still ambiguous. The aim of the study is to investigate the correlation between clinicopathology and immunolocalization of HSP72 and gp96 in human lung carcinoma. Immunohistochemistry demonstrated that HSP72 and gp96 expression in lung carcinomas with metastasis was significantly higher than those with non-metastasis. HSP72 and gp96 expression were significantly associated with the presence of tumor infiltration, lymph node and remote metastasis.

Abstract: According to the geographical characteristics of urban public green space, the paper analyzes the factors and indexes which influence accessibility evaluation. Combining analysis functions of GIS desktop software, the paper proposes the accessibility evaluation method of urban public green space (UPGS) based on the accessibility path analysis, and then implements the function of accessibility path analysis to UPGS using ArcGIS Engine technology. This method can not only evaluate the existing UPGS, but also help the unestablished park to determine the location, and plays a certain decision-making role

Abstract: In order to further research the expansion of cracks in the rock during hydraulic fracturing, this paper theoretically analyzes the stress state of wall cracks. According to the effective stress criterion of Terzgahi, it gives the mechanical condition of the rock crack expansion. By Moore-coulomb's law, it analyzes the influence of the water pressure in the pores of space wall on the rock fracturing. On this basis, the hydraulic rock fracturing is applied to build physical experiment model of deep mining mine water bursting. By the methodology of combining the analysis of experimental results and theoretical analysis, it analyzes the change of water injection pressure in the hole with rock fracturing and the stress strain relations during rock’s uniform displacement change and loading. The experimental results show that in the process of the water pressure and vertical loading, the increasing fracture load on the rock, constantly produces, expands the cracks and fractures to instability; the mutual influence of water and pressure comes to be the major problem of deep mining rock fracture and mine water bursting.

Abstract: The study was made on three main oil crops, soybean, peanut and rapeseed to analyze the plant efficiency based on a non-parameter method of E-DEA model. The result showed that peanut has the highest comprehensive plant efficiency of the three main oil crops. So the peanut acreage should be extended wherever is feasible. Among all kinds of plant efficiency of peanut, its seed productivity is the lowest but the efficiency value doesn’t require much improvement. Therefore, the peanut seed subsidies and relevant research activities should be strengthened

Abstract: Materials science is an interdisciplinary field applying the properties of matter to various areas of science and engineering.. In this work, the notion of the trivariate generalized multiresolut- ion structure (TGMS) of subspace is proposed. The characteristics of trivariate affine pseudoframes for subspaces is investigated. Construction of a GMS of Paley-Wiener subspace of is studied. The pyramid decomposition scheme is obtained based on such a TGMS and a sufficient condition for its existence is provided. A constructive method for affine frames of based on a TGMS is established.