Research Article
Research on Dynamic Integration of Multi-objective Data in UI Color Interface
@INPROCEEDINGS{10.1007/978-3-030-67874-6_23, author={Ling-wei Zhu and Feng Zhai}, title={Research on Dynamic Integration of Multi-objective Data in UI Color Interface}, proceedings={Advanced Hybrid Information Processing. 4th EAI International Conference, ADHIP 2020, Binzhou, China, September 26-27, 2020, Proceedings, Part II}, proceedings_a={ADHIP PART 2}, year={2021}, month={1}, keywords={Artificial intelligence Network public opinion Data abnormal behavior Detection method}, doi={10.1007/978-3-030-67874-6_23} }- Ling-wei Zhu
Feng Zhai
Year: 2021
Research on Dynamic Integration of Multi-objective Data in UI Color Interface
ADHIP PART 2
Springer
DOI: 10.1007/978-3-030-67874-6_23
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.
