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Research on Component Retrieval of Reconfigurable Routing Switching Platform

Author: QuJian
Tutor: WangBinQiang
School: PLA Information Engineering University
Course: Communication and Information System
Keywords: Reconfigurable Component classification Component retrieval Facets tree coding match Weights dynamic reconfiguration Neural Network Fuzzy Reasoning
CLC: TP391.3
Type: Master's thesis
Year: 2010
Downloads: 18
Quote: 0
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Abstract


Triple play is the trend of future network development. Open reconfigurable routing and switching platform is a key equipment to achieve the triple play, which is based component processing technology platform support. Member of management is implemented by the component library system, a sound and efficient component library system platform reconstruction systematic, practical and important infrastructure. Reconfigurable routing and switching platform component library members often a change and a huge number of existing component retrieval algorithm can not cope with the component library dynamically changing needs and deal with a large number of components of limited capacity. Based on this, this paper, the National 863 Program \engineering technology, in order to effectively solve the deficiencies of the original search method. The main work of this paper are as follows: (1) does not reflect the general view of the current component classification routing platform components Features, given the routing platform components faceted classification and routing platform components faceted classification space description and faceted classification tree. The classification laid the foundation for the follow-up component retrieval method. (2) for traditional component retrieval mechanisms respond to member limited ability to dynamically change the component retrieval algorithm based on facet tree coding matching (Facet Tree Code Matching, FTCM). The algorithm learn traditional tree matching component retrieval algorithm based on tree matching problem is transformed into the string matching problem, reducing the time complexity of algorithm, improve the ability to handle dynamic changes in components. (3) In order to reflect the dynamic changes of components in the component library and user needs match between component library faceted classification tree on the weights obtained by the genetic algorithm iteration, weight based on faceted classification dynamically reconfigurable tree coding matching (Facet Tree Code Matching of Dynamic Reconfigurable Weight, FTCMDRW) component retrieval algorithm. The algorithm weights can be dynamically updated according member usage and user needs to further enhance the ability to respond dynamically changing member. The simulation results indicate that the service request received in the platform Reconstruction, the average precision is more than 12% higher than the conventional algorithm Algorithm. (4) for the current component retrieval mechanisms to deal with a large number of member limited error back-propagation neural network and fuzzy reasoning methods used in the field of component retrieval is given based on fuzzy reasoning error back-propagation neural network (Fuzzy Inference -Back Propagation Neural Networks, FI-BPNN) component retrieval algorithm. Simulation results show that the algorithm, when the number of components of 1000, the average precision rate 14% higher than traditional algorithm. (5) combined with the needs of the project design reconfigurable routing and switching platform component library prototype system, based on the design the retrieval module function of the component library prototype system, practice component retrieval algorithm presented in this paper. Some experimental data on the prototype system, and further demonstrates the feasibility and effectiveness of this article component retrieval algorithm.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Retrieval machine
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