Applied Mechanics and Materials Vols. 602-605

Abstract: Retracted paper: The study of systems has analyzed Web services, and current trends suggest that the study of RAID will soon emerge. Given the current status of heterogeneous communication, statisticians famously desire the evaluation of the Internet, which embodies the theoretical principles of machine learning. In order to overcome this grand challenge, we present an analysis of Smalltalk (Degree), which we use to demonstrate that erasure coding and thin clients can agree to accomplish this goal.

Abstract: Particle swarm optimization (PSO) based BP neural network is introduced , which is superior to the traditional BP neural network . The traditional BP neural network and PSO algorithm is illustrated respectively, and introduces how to apply PSO algorithm in BP neural network. The numerical simulation proves that PSO-BP neural network performs better than traditional BP neural network.

Abstract: This paper discusses the assessment problem on air quality. It will firstly make analysis on part irrationality of existing AQI and then introduces into concept of fuzzy mathematics on this basis. It makes index assessment on regional air quality according to 6 index values of selected air quality. Firstly, it will use fuzzy mathematics as basis to establish model of fuzzy comprehensive index and adopt weighting method of excess multiple considering each index to determine the weight, secondly it uses membership function of half-step trapezoidal method to determine its membership grade and makes compound operation to obtain fuzzy comprehensive assessment matrix, finally it makes fuzzy vector uniformization to get the new air quality index as well as uses national standard as reference limits to divide it into 6 grades and comprehensively makes index assessment on air quality.

Abstract: An image distortion classification approach towards quality assessment is presented in this paper based on tri-training and natural scene statistics. At first, the semi-supervised learning of tri-training is employed to carry out the classification of different distortion images by the combination of labeled images with unlabeled images. Then the method of nature scene statistics is used to extract features of distortion images so as to lay a well foundation for effective classification. Through the synthetical integration of tri-training and nature scene statistics, a well effect of classification can be achieved. A series of experiment results show the performance advantages of the presented algorithm.

Abstract: In the current, competitiveness of industrial clusters is an important topic on the academic theory study, this paper from "factor", "structure" and "ability" carried connotations three perspectives analyzes the competitiveness of industrial clusters, evaluated using principal component analysis Yulin City magnesium industry cluster competitiveness. The empirical results show that: the past five years, Yulin magnesium increase the competitiveness of industrial clusters is obvious, but there are many weak links in the development. Empirical research to verify the feasibility and rationality of the evaluation index system of principal component analysis method.

Abstract: Frequent pattern mining has been an important research direction in association rules. This paper use a methodology by preprocessing the original dataset using fuzzy clustering which can mapped quantitative datasets into linguistic datasets. Then we propose a algorithm based on fuzzy frequent pattern tree for extracting fuzzy frequent itemset from mapped linguistic datasets. Experimental results show that our algorithm is shorter than the F-Apriori on computing time to huge database. For large database, the algorithm presented in this paper is proved to have a good prospect.

Abstract: This paper collects the Internet data of 2013 related with Internet finance from several websites,and identifies key words by ICTCLAS,then analyses the co-word network by Bicomb based on key words co-occurrence.By the help of factor and cluster analysis, it studies the relationship between the key words then tracks the hot spots of Internet finace on the Internet.The analysis shows mobile payment,supervision,risk control and P2P network loan are focused in Internet finance field,Mobile payment,supervision,risk management become the hotspots at present.

Abstract: Automatic generation algorithm vouchers, the use of the algorithm can depart from any data source, in any condition defined abstract formulas, subjects formula, the amount of formula and other formulas, then by definition generates vouchers, thereby reducing the workload of finance staff to improve accounting accounting standards.

Abstract: Based on P-law reasoning, backward P-law reasoning and its structure are presented, Next, the relation and relation theorems between backward P-law reasoning and general reasoning are given. Using the theory results, the application of backward P-law reasoning in the information image camouflage-reduction is given.

Abstract: Industrial cloud service platform launched a series of industrial services based on cloud computing for middle and small-sized enterprises. These services include CAD, CAE and other software services utilized on industrial design and manufacturing. Due to integrating various application systems, an efficient authentication technology was urgent required to realize the exchange and sharing of the identity information in the platform. Based on analysis and compare of various mainstream Single Sign-On (SSO) technologies, this paper proposed an SSO solution by using Central Authentication Service (CAS) protocol. Proposed system makes it easy and convenient to deal with login authentication and gain identity information of the whole platform. In addition, proposed system significantly improves the user experience.