Self-Matching Space Tracking Ship Data Structure Design

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This paper works on the general design of tracking ships system software structure with an eye to the complexity of information source of maritime tracking, and illustrates the design technique, methods and application examples in its realization. In this paper, a separation of system software function from specific data format is proposed to adapt to the difference in data structure resulting from each tracking ships unique equipment position and parameters. The difference in data structure is represented by parameters. The format information passed by parameter files is recorded by equipment sequence structure. A parameter program configuration is utilized and through real-time tracking data the allocation of system software is finished. The system can automatically adapt to data of different structure and treat all formats without rectifying software. The application software system designed in this conception has been used till today without major adjustments in its main structure. All changes can be adjusted via data files and in this way realizes adaptive processing.

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1790-1794

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October 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] ZHU Qiang-qiang, ZHANG Gui-yun. The Design and Implemention of a Text Mining Algorithm Based on MapReduce Framework[J]. Journal of Zhengzhou University, 2012, 33(5): 110-113.

Google Scholar

[2] LI Chao. Design and Implementation of Components Assembly Platform in Embedded Oriented Field[D]. Xi'an: Xi'an University of Electronic Technology, 2011: 12-17.

Google Scholar

[3] LI Jian-jiang, CUI Jian, WANG Dan, et al. Survey of MapReduce Parallel Programming Model[J]. Acta Electronica Sinica, 2011, 39(11): 2635-2641.

Google Scholar

[4] David J. Kruglinski. Inside Visual C++ [M]. Beijing: TsingHua University Press, (2002).

Google Scholar

[5] LI Bin, LIU Li-li. Weblog miniing based on MapReduce[J]. Computer Engineering and Applications, 2012, 48(22): 95-98.

Google Scholar

[6] LING Xu. HUANG Ming. Modern Intelligence Optimized Mixed Algorithm and the Application [M]. Beijing: Publishing House of Electronics Industry, (2011).

Google Scholar

[7] ZENG Xian-zhao. Network Science[M]. Beijing: Press of Military Science, (2007).

Google Scholar