Applied Mechanics and Materials Vols. 513-517

Abstract: In order to improve the efficiency of service discovery and service composition, this paper proposes a Composition oriented Web services semantic relationships mining framework. Firstly, Web services need to be pretreated, which are filtered based on QoS; and then adopt the method of service functional clustering to generate service classes, which largely reduces the services search space and improve the efficiency of service discovery; Secondly, in order to excavate the semantic relationships between service classes that meet the business logic requirement, we need to set the composition rules between service classes; Finally, using two stages of mining algorithms to excavate the semantic relationships between service classes. Experimental results are given to validate the feasibility and validity of our framework.

Abstract: The characteristics of waste electrical appliances and the current existing problems and difficulties product are pointed out. The network model with the effective output as a measure of enterprise logistics capability standard, is established using theory of constrains. The corresponding constraints is joined, and the parameters in the model is set. Through converting multiple objective program problems to target problems, and using LINDO6.1 software to calculate the examples results, and WITNESS software is used to simulate the real environment network operation.

Abstract: The accuracy of K-means algorithm is greatly influenced by initial clustering center which is related to the density distribution of the sample to some extent. In order to obtain the gradually optimized initial clustering center, the present study implement the loop fusion of sub regions based on their density and correlation by dividing the region into sub ones. The improved K-means algorithm is tested in two dimensions, and the results show that the improved algorithm obtains more optimized initial clustering center with higher accuracy of clustering.

Abstract: Subgraph isomorphism is an elemental issue in graph theory. Being the NP-hard problem overall, it is suitable for developing parallel algorithm to reduce the cost time. This paper presented an efficient isomorphism algorithm based on breadth first strategy and a scheme to decompose the matching task over multi-core platforms. The algorithm sorts the vertices of the two graphs by the the degree of outedge and inedge, then adds all the vertices to the feasible pair according to the connection relations of the current vertex. All the tasks distributed among the multi-cores share the same memory. The experiment shows that it has the better performance than current algorithm as the edges increase.

Abstract: For the sake of achieving to manage and monitor the experimental equipment scientifically, as well as relevant experiment information for Neutral Beam Injection (NBI) system, NBI equipment management and monitor software is developed for managing and monitoring the experimental equipment between the remote server control layer and the field management and control layer. Experiment results show that managing equipment scientifically can ensure equipment security and promote the progress of the experiment smoothly. NBI Equipment management and monitoring software is programmed by C language which runs on Windows system and can work steadily and reliably now during the NBI experiments.

Abstract: A systematic multi-channel model paradigm for information interaction was proposed under the framework of the development of digital protection system of traditional culture. Analysis was carried out by aiming at the modular classification, interactive structure and data interface in the framework design for the information data. Attention was focused on solving such problems as the key technologies and operate mode of the interactive optimization and structural optimization for the virtual and augmented reality scene. The concept and technology of cartoon animation were analyzed. Thus, the effectiveness of the interactive technology of the system model and the advantages of the multi-channel orderly integration for information were testified.

Abstract: Hospital information analysis is a very important way to enhance the medical service. In this paper, the hospital information analysis system of university is implemented for revealing hidden information. First, the processing model of medical information is studied. Then, the multi-layer architecture and framework are proposed and designed based on the thought of hospital information management system. Third, data statistic and data mining technologies are employed to manipulate the data, which includes Apriori algorithm, time series analysis and so on. Finally, experiments are finished to show that the medical information has intrinsic knowledge and data mining methods can reveal some of it.

Abstract: According to the problem that lacking policy process mechanism of BPEL, we presented an approach of exception handling strategy configuration through CPN (Colored Petri Net) model, introduces the process principal of this approach, use CPN to model the process of exception handling strategy configuration.

Abstract: An ensemble consists of a set of independently trained classifiers whose predictions are combined when classifying novel instances. Previous research has shown that an ensemble as a whole is often more accurate than any of the single classifiers in the ensemble. Boosting-BAN classifier is considered stronger than Boosting-MultiTAN on noise-free data. However, there are strong empirical indications that Boosting-MultiTAN is much more robust than Boosting-BAN in noisy settings. For this reason, in this paper we built an ensemble using a voting methodology of Boosting-BAN and Boosting-MultiTAN ensembles with 10 sub-classifiers in each one. We performed a comparison with Boosting-BAN and Boosting-MultiTAN ensembles with 25 sub-classifiers on standard benchmark datasets and the proposed technique was the most accurate.

Abstract: This paper describes overall framework of distance education system based on cloud computing. First, it points out the construction of cloud data centers. Second, it points out the construction of storage Platform. Third, it points out the construction of search engines and search navigation platform for teaching resources.