Applied Mechanics and Materials Vol. 472

Abstract: In this paper, a beam forming theory for antenna pattern is stated. The formula suitable for engineering practice is deduced through deforming activation value in formula of power pattern. The formula of beam forming and evaluation algorithm are induced, and the algorithm is simulated by using software MATLAB. For a given pattern, the corresponding activation value of each element can be figured out. The simulations reveal that the proposed algorithm can effectively meet the requirements of upper side lobe suppression and lower null-fill. The proposed method is suitable for the design of beam-forming for antenna pattern.

Abstract: The group decision-making is a new way recent years in the world which is based on the analysis of linguistic information.A method for this kind of group problems based on two-tuple linguistic theory is proposed in this paper.First,the method transforms initial linguistic information into group judgement matrix,and then give the select process of optimal alternative based on an operator.Finally,a numerical example is given to illustrate the validity of the proposed method.

Abstract: A wireless sensor network (WSN) is a large collection of sensor nodes with limited power supply and constrained computational capability. Clustering routing method in wireless sensor networks has been considered as an important field of research recently to prolong the network lifetime of WSNs. We present a novel clustering method that can balance the energy consumption and extend the lifetime of WSN. Network nodes can be divided into densely connected subgroups through the algorithm of detecting community structure in complex networks. Moreover, the role of cluster-head is scheduled among the cluster members according to the residual energy of nodes, and then the cluster heads send the data to the sink directly. Based on the community clustering strategy, a novel routing protocol, called community structure clustering routing protocol (CSCR), has been raised for WSN. Performance evaluation has shown that the proposed method can achieve improvement compared with LEACH and SEP.

Abstract: In bioinformatics research, for the lacks of an effective algorithm-integrating mechanism and a friendly graphical user interface of the toolkits in the field of biological data processing and analyzing, the authors designed and implemented a sharing software system Bioinfo-Kit based on the Java 2 Platform Enterprise Edition (J2EE), which provides 1) a general application development interface to integrate or bridge other programs and 2) a workflow mechanism to operate them and make them talk easily. In addition, a module for biological data (multiple electrodes data, biomedical data and etc.) analysis was implemented in the software system, which provided a workflow mechanism to integrate a series of algorithms and visualization tools. Because the interface developed is very general and flexible, new analysis tools can be integrated effectively as required. Bioinfo-Kit implies an ideal environment for integrative bioinformatics research.

Abstract: Accompanied by the development of information technology and the impact of economic globalization, e-commerce has developed rapidly, has impacted the traditional supply chain. The E-supply chain emerged. This article described the evolution of the supply chain, analysis of the characteristics of the traditional supply chain and the E-supply chain, and the corresponding typical supply chain contract model of evolution.

Abstract: In this paper, the isogeometric analysis is applied to two-dimensional structural topology optimization instead of traditional finite element analysis. By treating the corresponding element density of knot spans as design variables, the topology optimization model is formulated based on SIMP method. Then the optimization problem is solved using the method of moving asymptotes. As demonstrated by examples, the proposed method can be used for two-dimensional topology optimization. And the results show that checkerboard patterns can be controlled.

Abstract: Calculation methods of standard deviation in Up-and-Down method, which are traditional method and modified method of GJB/Z 377A-1994, are analyzed by Monte Carlo simulation, and estimation accuracy of standard deviation is improved by combining traditional method with modified method,which is called combinative method. It shows that estimation accuracy of traditional method is more precise than modified method with any sample size. Estimation accuracy of combinative method is better than other two methods when sample size is between 26 and 39, while has the same estimation accuracy as traditional method in the other sample size,and the optimumvalue of a is given.

Abstract: In order to better observe the trend of small sample data, this paper based on that the least squares support vector machine (LS-SVM) algorithm has an outstanding performance in the data processing of small sample, presents a data fitting method for small sample. The quantum particle swarm optimization (QPSO) that has better global search ability is used to optimize the parameters of the least squares support vector machine, and establish the curve fitting model. According to error analysis, show that the method presented in this paper has a good application value.

Abstract: Uncertainty problem is the key problem need to be faced and solved in expert system. During the uncertainty reasoning process for expert system, this paper proposed a new matching degree algorithm of first component of rule to solve the uncertainty problem when reasoning. The adoption of the algorithm made the selection process for the best matching point become more accord with the nature selection and has better adaptivity. Adopting this algorithm could improve the accuracy when the first component of rule selecting a conclusion. By taking a production plan of a factory for example, this paper proved the selected first component of rules for following evidences which supporting conclusion has a good effect on credibility. And the expert system which using the new algorithm has a great improvement on decision-making function.

Abstract: This essay based on X-ray digital automatic detection as a starting point, and then to deal the typical X-ray digital image with median filtering and histogram threshold processing, with the help of a column gray method to extract respective column of each weld image gray scale curve, this essay tries to analyze the defect signal characteristics and discuss the extraction methods. In this essay, the author compiles the image preprocessing procedure, columns, gray-scale extraction procedure and defect alarm procedures; and also tries the X-ray weld defect detection of digital rapid recognition and prompt functions. Thorough the analysis we can draw the conclusion that column gray method can be used as a dynamic test basis of automatic alarm decision.