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Semantic Web services is considered as the concept bringing the web to its full potential by combining the best features of web services, agent technology, grid and the Semantic web. In this paper we present a semantic Web Services platform based on software agent (JASW), which introduces Semantic web and software agent and takes the automated discovery, selection, orchestration and invocation of...
In order to decrease the number of misclassification of attacks, the application of data mining technology on the intrusion detection was studied in depth. Firstly, the study background was introduced, and then the basic theory of intrusion detection system was analyzed, and then the basic theory of data mining technology was discussed and the mode of data mining was established, and the algorithm...
In the development environment of the Microsoft Visual Studio.Net, the C# development language, SQL SERVER 2000 database development tool and the idea of modularization design are adopted to develop the network design system of bearings based on ASP (application service provider) model. The system can be used to introduce the performance characteristics and application, inquire the information of...
Identification of dominant periods is a very important but difficult task in hydrologic time series data analysis. In this paper, for improving the results of periods' identification, a new method, called EEMD-MESA (ensemble empirical mode decomposition-maximum entropy spectral analysis), has been proposed, whose main idea is identifying the main intrinsic mode functions (MIMFs) in hydrologic series...
In a two-stage supply chain composed of one supplier and one retailer, the supply chain coordination mechanism in fuzzy demand environment is researched. The market demands are regarded as fuzzy variable. The models of centralized decision-making, the return contract and revenue sharing contract are built based on credibility distribution and their optimal policies are also proposed under uncertain...
Summary form only given. Exact and real-time collection of quality data from manufacturing process is the most important step in quality management system. It is the foundation of cumulating, analyzing and effectively controlling the processpsilas quality. As an advanced and exact metrical instrument, 3-degree coordinate measuring machining (CMM) has been widely used in machinery manufacturing industry...
In this paper, data mining technology is adopted to find correlations from massive production data to predict burning through point (BTP) of sintering process. A hybrid BTP prediction model is presented which is based on artificial neural network and multi-linear regression error compensation algorithm. In this model, the final prediction result is calculated based on both the prediction value from...
Determination of dominant periods is a frequently encountered problem in stochastic analysis of hydrologic series data. In this paper, for mining important information about periods in hydrologic system, new idea for estimating periods has been put forward. New method, MSSA (main series spectral analysis method), has been developed. It is to reconstruct the main frequency signals of the original series...
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