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Research on Cow Epidemic Monitor System Based on ArcGIS Engine

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Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), 2013

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 212))

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Abstract

In order to improve the work environment for cows epidemic monitor and raise working efficiency, this paper propose a general design scheme for this system and develops partial function using the methods of function analysis. Information system analysis design,with the VS.NET,ComGIS development platform(ArcGIS Engine),and database technology, Using various method of spatial analysis, realized the comprehensive analysis of the historical cows disease and Space–time distribution having certain effect for improving the level of controlling cows disease, providing some reference for cows disease geographic information system construction of relevant departments.

Funded by young teachers scientific research of anhui university of science and technology.

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References

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Author information

Authors and Affiliations

  1. Anhui University of Science and Technology, Anhui, 232001, Huainan, China

    Wenbo Wang & Hongli Zhou

  2. Henan Electric Power Corporation Maintenance Company, Henan, 450000, Zhengzhou, China

    Jinghong Li

Authors
  1. Wenbo Wang
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  2. Hongli Zhou
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  3. Jinghong Li
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Corresponding author

Correspondence to Wenbo Wang .

Editor information

Editors and Affiliations

  1. School of Science, Anhui University of Science & Technology, Huainan, China

    Zhixiang Yin

  2. Huazhong University of Science and Technology, Wuhan, China

    Linqiang Pan

  3. Anhui University of Science & Technology, Huainan, China

    Xianwen Fang

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© 2013 Springer-Verlag Berlin Heidelberg

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Cite this paper

Wang, W., Zhou, H., Li, J. (2013). Research on Cow Epidemic Monitor System Based on ArcGIS Engine. In: Yin, Z., Pan, L., Fang, X. (eds) Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), 2013. Advances in Intelligent Systems and Computing, vol 212. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37502-6_111

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  • DOI: https://doi.org/10.1007/978-3-642-37502-6_111

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37501-9

  • Online ISBN: 978-3-642-37502-6

  • eBook Packages: EngineeringEngineering (R0)

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