Applied Mechanics and Materials Vols. 687-691

Abstract: Node virtual network platform is designed and realized in allusion to node administration application scenarios in cloud computing, and distributed database and virtual network model with dynamic network features are put forward; nodes build node network through self-discovery packet and provide ability of addressing capability through built-in database engine. In the environment of super-large scale, node degree influences the whole virtual network platform. Through test, this platform can meet the needs of dynamic condition of application node brought by the explosive application request.

Abstract: Studying a method based on UML model software architecture performance prediction: this method chosen software architecture design in UML, use case diagram, activity diagram and component diagram, and pull stereotypes and tagged values in it, and enlarge them to be UML SPT model, and then turn UML SPT model into queuing network model through conversion algorithm, this algorithm can deal with UML model activity diagram which included branch node and confluent nodes. Finally, using frequency domain analysis theory to get queuing network model, to know performance parameters and performance bottlenecks and also introduce the design plan of UML software architecture performance automation tools, and give a example of performance prediction software architecture.

Abstract: in current, the software compatibility testing of Android system has been a difficulty, mainly because the software features of which has bigger difference cannot establish constrained detection analysis model. To solve this problem, a new compatibility analysis model of Android system is proposed. Android portfolio software is made compatibility testing modeling with a decomposition thought. The software features after decomposition are made repartition test modeling. The steady probability in different region combination is analyzed, and thus it represents the compatibility of Android system. Simulation results show that this kind of model can preferably complete the compatibility analysis work of Android system.

Abstract: Sensitive Chinese political information are partly monitored and controlled by Chinese mainstream media (newspaper, television, the Internet, etc.) and the National Security Agency as well as corresponding political authorities. However, Chinese media authorities still lack in a technology or some methods to detect and identify sensitive Chinese political information quickly and efficiently. Due to complexity of sensitive Chinese political information, it cannot be monitored by a list of keywords or a simple pattern matching. How to satisfy the demands of media institutions is one of the most important problems. The main purpose of this paper is to combine the redacting technology of Chinese grammar rules with sensitive Chinese political information in order to provide the LanguageTool XML rules suitable for monitoring sensitive Chinese political information.

Abstract: In C++, there exists static dispatching technique and dynamic dispatching technique. To move some dispatching at executive time up to compile time can reduce length of complied code and improve the overall running speed. We analyze the necessity of introducing static dispatching technique and those used commonly, and then we present a way to realize static dispatching technique by using enable_if template group in Boost library non-intrusively explicitly to manage the overloaded set of template functions. More importantly, in this way, one could overload template functions by their return values.

Abstract: Based on the analysis of the functional requirement of digital library, a design method of digital library service platform architecture based on cloud computing is proposed, which has three-tier structure, and can provide storage service for resource sharing and compute service for computationally-intensive jobs. The implementation technology of the architecture is introduced, and with the technologies the cloud service platform can be rapidly established.

Abstract: With the application of the Internet of things and cloud computing technology, a large-scale production, sharing and application data age is gradually open, it will give the technical and commercial to be changed, also will change our way of the life. If the data is stored, it is always a pile of meaningless numbers, but if using the technology to realize data value, analyzes the data from the produce to the mining, finally consumed the entire process, only by making data, to make data services to the public. This paper will use the big data technology to mine, identify, organize and analyze the implied reader behavior in the structured and semi-structured data information, to search for readers of the implicit demand to improve the library service, resources, services, and reader demand and achieve the optimum configuration.

Abstract: In order to meet the users'demand of knowledge and use knowledge efficiently,this paper adopts modeling methods of multilayer and multidimensional context tree to complete the establishment of the knowledge context tree, build the algorithm of the context entity similarity and realize the knowledge push, improve the similarity of the user with the necessary knowledge, so that a kind of very valuable method for pushing knowledge has also been put forward.

Abstract: The purpose of designing recommender systems is to help individual users find relevant information. However, many recommender systems have been facing the challenges of finding niche objects, which users may like but difficult to find due to the lack of sufficient data. In this paper, we propose a recommendation algorithm which takes a niche object as input and outputs a list of users who may be interested it. By this approach, every niche object can be recommended at least one time. Further analysis indicates that those niche objects are usually collected by active users and the owners who are very similar to each other. Therefore, this work has outlined the significant relevance with the challenge, the Long Tail problem, and provided a different perspective to solve it in the field of information filtering.

Abstract: This paper first outline the present conditions of Intelligent Computer Aided Instruction, then elaborate the contents of Intelligent Computer Aided Instruction system, and finally discuss the future development direction of the Intelligent Computer Aided Instruction system.