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Research on Dynamic Integration of Multi-objective Data in UI Color Interface

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Advanced Hybrid Information Processing (ADHIP 2020)

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Abstract

On the traditional method of dynamic integration of multi-objective data in UI color interface, because of the single integration algorithm, it is easy to lose the target data when there is too much target data. Therefore, based on the use characteristics of UI color interface, a new integration method of multi-objective data is proposed. This method obtains the sampling target through deep web data, detects and tracks the target image, optimizes according to the multi-objective integration, realizes the optimal path multi-objective equilibrium integration. Experimental results: the proposed detection method is fully in place in data integration, the occupancy rate of arm is 0%, the load line of DSP is 20%, the system maintains reliable real-time, and achieves the ideal state of UI color interface operation. However, the traditional data integration method of SLR is not in place; it can be seen that the traditional integration method is not suitable for the requirements of UI color interface with large target data.

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Authors and Affiliations

  1. Xi’an Eurasia University, Xi’an, 710065, China

    Ling-wei Zhu & Feng Zhai

Authors
  1. Ling-wei Zhu
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  2. Feng Zhai
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Corresponding author

Correspondence to Feng Zhai .

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Editors and Affiliations

  1. Hunan Normal University, Changsha, China

    Shuai Liu

  2. Hunan Normal University, Changsha, China

    Liyun Xia

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© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Zhu, Lw., Zhai, F. (2021). Research on Dynamic Integration of Multi-objective Data in UI Color Interface. In: Liu, S., Xia, L. (eds) Advanced Hybrid Information Processing. ADHIP 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 348. Springer, Cham. https://doi.org/10.1007/978-3-030-67874-6_23

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  • DOI: https://doi.org/10.1007/978-3-030-67874-6_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-67873-9

  • Online ISBN: 978-3-030-67874-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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