Advanced Materials Research Vols. 756-759

Abstract: With the integration of informatization and industrialization, the application of software is getting more and more extensive and plays a powerful role in many facilities. At the same time, Software failures cause tremendous losses, thus ensuring the reliability of software becomes increasingly important. The basic conceptions of software reliability are put forward in this paper, and comparative analysis on the research status at home and abroad are studied. Meanwhile, the perspective of the further progress of software reliability is made.

Abstract: TCP protocol has an awful performance in the wireless network because of the instability, high BER and long RTT of the wireless link. How to make wireless transmission more reliable and efficient has become a hot topic among relative researches. TCP/NC is a recently proposed protocol based on network coding and capable of achieving much higher throughput than TCP over lossy wireless Links. In this paper, network coding and TCP/NC are outlined firstly. And then simulation realization of TCP/NC protocol in OMNET++ is described. The performance evaluation of TCP/NC is conducted in OMNET++. The results show that TCP/NC offers significant better performance than TCP without affecting the fairness of data flow.

Abstract: Keyphrases are very useful and significant for information retrieval, automatic summarizing, text clustering, etc. KEA is a traditional and classical algorithm in keyphrase automatic extraction. But it is mainly based on the statistical information without considering the semantic information. In this paper, We propose a method which combine semantic information with KEA by constructing lexical chain that based on Regets thesaurus. In our method, the semantic similarity between terms is used to construct the lexical chain, and then we use the length of the chain as a feature to build the extraction model. The experiment result shows that the performance of the system has a big improvement compare with the KEA.

Abstract: Anomaly detection has been a field of intensive research over the last years. Along with that several works to evaluate anomaly detectors have been proposed. In this paper we argue four properties regarding ideal evaluation methodologies that cannot be answered by single current evaluation technique employed today. We therefore present an framework of an evaluation methodology that leverages traces from operational networks, simulation and emulation to satisfy the four properties.

Abstract: The importance of understanding the underlying characteristics of private placement Announcement Effect attracts much attention from academic researchers and financial practitioners. Due to the overwhelming complexity of the financial market, many traditional methods such as intervention method and event study fail to produce consistently good analysis results. Empirical Mode Decomposition (EMD), proposed by Huang et al., appears to be a promising data analysis method for nonlinear and non-stationary time series. In this paper, innovative EMD-based multi-scale event analysis method is proposed to estimate the impact of Announcement Date Effect on stock price volatility, and then take illustrative FangDa Group (000055 in Shenzhen Stock Market) to verify the effectiveness of the proposed method. The case study results show that this approach is a promising method from the multi-scale point of view to analyze the impact of Announcement Date Effect in stock market.

Abstract: The paper introduces a device linkage system on firewall between the network side and the switch side of user host, and introduces the audit system connected in parallel between the hubs and switches. Then, the paper introduces a method based on HTTP packet recognition network security device linkage, which is a technology of information security intrusion detection and prevention based on the network. It is mainly used to solve the existing network security equipment linkage blocking technology limitation poor problem. Finally, the test result shows that the method is practical and effective.

Abstract: General pseudospectral method is extended to Lie group by virtue of equivariant map for solving rigid dynamics on Lie group. In particular, for the problem of structural characteristics of the dynamics system can not be conserved by using general pseudospectral method directly on Lie group, the differential equation evolving on the Lie group is transformed to an equivalent differential equation evolving on a Lie algebra on which general pseudospectral method is used, so that the numerical flow of rigid body dynamics is ensured to stay on Lie group. Furthermore, structural conservativeness and numerical stabilities of this method are validated and analyzed by simulation on a 3D pendulum in comparison with using pseudospectral method directly on Lie group.

Abstract: By the effect of the optimization of bus scheduling, bring forward evaluation index model to evaluate optimization results,the corresponding algorithm of the model is given. This evaluation index is included transport capacity match,average transfer time,effective time-use law.analytic hierarchy process to integrate indicators into a comprehensive evaluation index,is used and built the evaluation index model about the optimization of bus scheduling.the use of indicators model line scheduling algorithm to optimize the evaluation made a simple algorithm.The three indicators in this model belong to quantitative techmical indicators,overcome the line network optimization index can not evaluate the program for dynamic scheduling its easy to evaluate program of bus scheduling,with strong practicality.

Abstract: Librarian performance measurement is an important work for college libraries. It is of great significance for library management work. In this study, the measurement index system of Librarian performance is discussed and established firstly. Then, an improved BP algorithm with two times adaptive adjustment of learning parameters is applied in librarian performance measurement. A measurement method for college librarian performance based on BP neural network is proposed. The illustrational results show that we can realize a fast and accurate measurement of college librarian performance by this method. It is helpful for college libraries to promote the service quality and efficiency.

Abstract: Online payment is apparently the key for the online transactions, so its security issue becomes the center of focus in the e-commerce development. In China, however, the information leakage, transaction fraud and other security issues have occurred so frequently that they have severely affected the customer confidence, and have become one of the major blockages in the e-commerce development. This article intends to have an in depth discussion of online payment security issues, examining current situations and problems in security technology, corporate social responsibility, and also propose appropriate strategic recommendations.