Abstract This paper, starting from the level of mobile communication network alarm management, comes up with the alarm types and the six-stage model. The paper also discusses the step of recessive maintenance and management from the perspective of mobile communication in terms of the effective control of network alarms, and also extends the network equipment alarm logic correlation to the logical... This paper, starting from the level of mobile communication network alarm management, comes up with the alarm types and the six-stage model. The paper also discusses the step of recessive maintenance and management from the perspective of mobile communication in terms of the effective control of network alarms, and also extends the network equipment alarm logic correlation to the logical level of network equipment alarm correlation, at the same time, discusses the study and application of data mining algorithms in alarm correlation. Finally, the paper provides the plan for construction steps and function for stage target for the intelligent alarm analysis system. Read More Read Less

Abstract Enforcing dynamic access control constraints in workflow management systems (WFMS) is a very important requirement with regard to security issues. However, respecting those constraints may prohibit the completion of a workflow instance in the case of the lack of authorized users. Such situation is known in the literature as a WSP (Workflow Satisfiability Problem). The ability of a WFMS to... Enforcing dynamic access control constraints in workflow management systems (WFMS) is a very important requirement with regard to security issues. However, respecting those constraints may prohibit the completion of a workflow instance in the case of the lack of authorized users. Such situation is known in the literature as a WSP (Workflow Satisfiability Problem). The ability of a WFMS to use different methods to bypass a WSP situation is often seen as a resiliency property. In this work, we propose a new approach that aims to enhance the resiliency of a WFMS while meeting at run time- the main workflow dynamic access control requirements. In fact, by using both delegation and priority concepts it is possible to find a user which is as suitable as possible to perform the current task instance with lesser security risks. Read More Read Less

Abstract Industry cluster is a new feature under the background of globalization, informationization and integration. Along with the development of science and technology, the competition between industry clusters is gradually changed from the traditional cost competition into the innovation ability. The ability of innovation is not only concerned with single enterprise or institution's ablity but also concerned with the relationship built... Industry cluster is a new feature under the background of globalization, informationization and integration. Along with the development of science and technology, the competition between industry clusters is gradually changed from the traditional cost competition into the innovation ability. The ability of innovation is not only concerned with single enterprise or institution's ablity but also concerned with the relationship built up by the enterprises in the industry cluster and the innovation environment around them. This article analyzed network structure and evolution of innovation networks on the basis of complicated network theory. According to the construction principle of complex network, we simulated the evolution process of innovation network structure of different types. And, we also analyzed the features and differences of two typical complex networks. The conclusion will provide suggestions for industry cluster to build up innovation system and upgrade the competition ability. Read More Read Less

Abstract In order to improve the rate of facial expression recognition. The Gabor wavelet fusion PCA+FLD method is proposed as a new method this paper. Firstly, face image preprocessing, and then carries on the two-dimensional wavelet transform Gabor, first constructed five scale eight directional wavelet filter, through the PCA+FLD method for dimensionality reduction, and finally obtaining an optimum expression a projection... In order to improve the rate of facial expression recognition. The Gabor wavelet fusion PCA+FLD method is proposed as a new method this paper. Firstly, face image preprocessing, and then carries on the two-dimensional wavelet transform Gabor, first constructed five scale eight directional wavelet filter, through the PCA+FLD method for dimensionality reduction, and finally obtaining an optimum expression a projection subspace classifier in all the optimal subspace. The experiment proves, fusion PCA, FLD and Gabor wavelet transform two-dimensional facial expression feature extraction for classifier design, facial expression recognition rate is high.The experiment proves that the new method of Gabor wavelet fusion PCA+FLD is perfect. Read More Read Less

Abstract A new kind of comprehensive evaluation method is proposed through analyzing the characteristics of the source of information. We use of three kinds of information transmission network performance report of the son from a source for information. Exploring the effective information diffusion characteristics, we analyzed the characteristics. The results in these characteristics have different characteristics, often preferred different types of... A new kind of comprehensive evaluation method is proposed through analyzing the characteristics of the source of information. We use of three kinds of information transmission network performance report of the son from a source for information. Exploring the effective information diffusion characteristics, we analyzed the characteristics. The results in these characteristics have different characteristics, often preferred different types of information sources, such as a news conference or columns. Read More Read Less

Abstract A personalized online library user training system is built. Users can do self-training, group discussions, self-testing, personal views etc in the system. To make a friendly interface of the system, users will get interested in learning various retrieval skills and other resources. Taking the Library of Mudanjiang Medical University as the example, we build a user training system based on... A personalized online library user training system is built. Users can do self-training, group discussions, self-testing, personal views etc in the system. To make a friendly interface of the system, users will get interested in learning various retrieval skills and other resources. Taking the Library of Mudanjiang Medical University as the example, we build a user training system based on Moodle. The framework of the system consists of three parts: system module, resource module and activity modules. By using the system, users can more effectively improve the user's information retrieval ability, better use of library resources, especially databases; libraries can expand the scope of user training, and enhance the communication between the users and the libraries. Read More Read Less

Abstract In a wide range of commercial and industrial applications data from different sources - web, databases or documents - are integrated into databases for the purpose of querying and analysis. It is then determined for each of the information contained in the source schema, what should be the corresponding column in the target relational database, that is to say, to... In a wide range of commercial and industrial applications data from different sources - web, databases or documents - are integrated into databases for the purpose of querying and analysis. It is then determined for each of the information contained in the source schema, what should be the corresponding column in the target relational database, that is to say, to establish a correspondence (Mapping) between the data source and the target column. A number of tools and prototypes of Schema Matching have been developed in order to automate the process of finding a suitable mapping. One technique employed is to use mapping decisions previously taken by the user manually. These decisions are stored in a Mapping Knowledge Base. The problem with this procedure is that the volume of the Mapping Knowledge Base increases very significantly over time. Processing large volumes of information may take several hours or even days. The prototype described in this article, keeps processing time at acceptable levels. Read More Read Less