Applied Mechanics and Materials Vols. 543-547

Abstract: In the field of education, cloud computing, as a basic environment and platform for the future network learning, will bring positive effect on construction of the learners' personal learning environment, on construction of school resources, on development of the educational information system. Based on the analysis of the cloud-computing influence on collaborative learning, this paper puts forward the construction strategy of collaborative learning environment supported by cloud-computing and the specific application case, which will provide reference for cloud-computing application in education informatization and social network learning.

Abstract: The current research progress and the existing problems of semantics representation of the semantic Wed are analyzed. In this paper, we present an uncertain description logic C-SHOIN, which is an extension of description logics SHOIN based on cloud model. The syntax and semantics of description logic C-SHOIN are given; as well as the satisfiability of uncertain concepts. Example analysis shows that C-SHOIN is capable as the ontology language extensions to the representation of fuzzy and uncertain knowledge.

Abstract: There is much news online every day and people would like to read online news and give their comments on some news, which reflect their views and opinions about the people and matters involved in the event reported in the news. Opinions mining on these comments is of great significance for the construction of the government's democratic politics, public opinion monitoring and decision support, etc. In this paper we analyze user opinion from four aspects: characteristic, emotional word, emotional word qualifier, emotional tendency. We propose a SRL-DP-NE algorithm to extract the characteristic-emotional word pairs. Finally, we implement the system of opinion mining on web news comments, and got the overall polarity analysis.

Abstract: In reconfigurable system, how to make full use of limited reusable resources by the configuration information and maximize performance of the system is a difficulty in reconfigurable computation. In this article, we proposed a resource allocation optimization algorithm for multi-objective to achieve the minimum execution time when realizing logic computation resources adaptation of Boolean function at the same time. The algorithm was based on genetic algorithm. Finally, complexity and convergence characteristics of the algorithm were analyzed.

Abstract: This article analyzes the problems of traditional public computer room building hardware life and use efficiency and maintenance management and so on, according to the present situation of construction of university public computer room. Propose a public computer room construction scheme to improve computer efficiency with virtualization technology in cloud computing environment. Through the example, we prove the superiority of the construction cost of public computer room, efficiency in the use, energy consumption, management and maintenance by cloud computing model.

Abstract: With the advance of education informationization in china, information technology and data mining technology has been widely used in the field of education. The decision tree method is one of the data mining methods; it does not require any assumption, can intelligent classification to a large amount of data directly. According to certain rules to find hidden and valuable information.Use the idea of learners as the center as guiding principle, using decision tree algorithm of data mining technology to build student information management system, selects typical C4.5 algorithm among the decision tree methods, Take mass information about employment of graduation in university students' information management system as an example to generate the decision tree, collect potential rules and factors in favor of graduat employment, so as to guide the education and management.

Abstract: This paper introduces the working principle of remote access system based on SSL VPN in cloud computing. Meanwhile, it focuses on the operation principle of the SSL protocol and resource management. In addition, it analyses system characteristics such as https login, hardware signature certification and so on. At last, it puts forward some problems and solutions in actual use.

Abstract: Montgomery algorithm will die N operation into shift operation, optimized Systolic array with fewer resources to achieve efficient Montgomery algorithm, and the application of power conversion technology to further improve the RSA encryption,decryption speed. In order to make full use of FPGA resources, this paper analyzes the impact of the Systolic array at different levels of granularity on the performance of the system, and gives the realization and S = key and encryption,decryption information are RSA encryption system of s hardware 1024 time results.

Abstract: For the attribute-weighted based naive Bayesian classification algorithms, the selection of the weight directly affects the classification results. Based on this, the drawbacks of the TFIDF feature selection approaches in sentiment classification for the microblogs are analyzed, and an improved algorithm named TF-D(t)-CHI is proposed, which applies statistical calculation to obtain the correlation degree between the feature words and the classes. It presents the distribution of the feature items by variance in classes, which solves the problem that the short-texts contain few feature words while the high frequency feature words have too high weight. Experimental result indicate that TF-D(T)-CHI based naive Bayesian classification for feature selection and weight calculation has better classification results in sentiment classification for microblogs.

Abstract: To meet the needs of Network Test System on generating test paper rapidly and stably, this essay analyzes the characteristics of common algorithm on generating test paper and proposes an improved algorithm randomly selected, which can ensure the efficiency and quality of the system in the two aspects as the spatial distribution and the generation rate of extracting topics.