Applied Mechanics and Materials Vols. 644-650

Abstract: Recursive is a method that divides the complex problems into simple problems and finally solves the complex problems. The process of recursive problem needs to use the information that stores in the stack memory. The cost of stack is large and the execution of the stack is less efficient. Therefore, when solving some complex problems, generally the recursive is used for analysis and the non-recursive is used for practice. Using non-recursive method to realize recursive problems, not only can save the storage space, but also can greatly improve the efficiency of algorithm execution.

Abstract: The perfection of an ontology knowledge base is essential to the research of ontology-based information extraction (IE). Information extraction in short documents with sparse vocabularies in the ontology will cause the problem of semantic deviation. That will affect the indexes of information extraction in short documents. In this paper, we propose a method of using lexical chain to perfect the ontology knowledge base automatically in order to cover the shortage of manual constructed ontology. We can solve the problem of semantic information deficiency caused by the sparse vocabulary in the ontology effectively through the use of this method. We proved the validity of our method through the series of experiments we conducted.

Abstract: This paper introduces the basic theory of the data mining technology and genetic algorithm, analyzed the feasibility of genetic algorithm in data mining technology application, and set customer satisfaction as an example to demonstrate the feasibility and validity of the model.

Abstract: Mobile cloud computing has become a new paradigm, because of rapid growth of mobile devices such as smart mobile phone performance and cloud computing. This mobile cloud environment, with various kinds of service and IT resources according to the user's requirements, effectively provides services and IT resources are necessary. Therefore, in this paper we propose the use of frequency mobile cloud based analysis and filtering method of computing resources to distribute resources and services to users based on context-awareness information. Introduction

Abstract: The paper presents a preconditioned AOR iterative method if preconditioner is a general upper triangular matrix for solving a linear system whose coefficient matrix is an H-matrix. In addition, we discuss the convergence of corresponding methods. Finally, a numerical example is also given to illustrate our results.

Abstract: For solving the linear system, different preconditioned iterative methods have been proposed by many authors. In this paper, we present preconditioned SSOR iterative method for solving the linear systems. Meanwhile, we apply the preconditioner to H-matrix and obtain the convergence result. Finally, a numerical example is also given to illustrate our results.

Abstract: Digital forensics technologies based on Linux have been popular issue now. It is very necessary to get a general and effective digital forensics method on Linux for its wide usage. It gives a set of general methods in this paper. It combines the static forensics and dynamic forensics according to the different form of data and verifies the validity of these methods with the help from kinds of open source forensics tools.

Abstract: The purpose of slope stability evaluation was that, according to the slope engineering condition and constraints of mining technology, to study the deformation and failure rule of slope occurred by the change of stress field during the open-pit mining. The main research object of the paper was open-pit slope of one iron mine, for the mechanical parameters of the slope, it was obtained by physical experiments, and the numerical simulation method was used for the stability analysis and evaluation of quaternary soil slope angle and final slope angle. And some measures were proposed for slope stability during construction to ensure safety in production. The research of the paper has certain reference significance for optimization calculation of the soil slope stability

Abstract: Keyword extraction plays an important role in abstract, information retrieval, data mining, text clustering etc. Extracting the keywords from a document can increases the efficiency of retrieval, thus provide great help to efficiently organize the resource. Few writers on the Internet have given the keywords of a document. Artificially extracting the keywords of a document is a great deal of work, so we need a method of extracting the keywords automatically. The paper constructing a verb, function words, stop words etc. small library from the perspective of the Chinese part of speech, realize rapid word segmentation based on the research, analysis, improvement of traditional lexical maximum matching points, and analyze, realize extracting the keywords based on TFIDF(Term Frequency Inverse Document Frequency).

Abstract: In order to solve the low efficiency problem of KNN or K-Means like algorithms in classification, a novel extension distance of interval is proposed to measure the similarity between testing data and the class domain. The method constructs representatives for data points in shorter time than traditional methods which replace original dataset to serve as the basis of classification. Virtually, the construction of the model containing representatives makes classification faster. Experimental results from two benchmark data sets, verify the effectiveness and applicability of the proposed work. The model based method using extension distance can effectively build data models to represent whole training data, and thus a high cost of classifying new instances problem is solved.