Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 8, Issue 1


Published
on

May 8, 2023


Pages


DOI

Article

Innovative Management Strategies for the Rule of Law of Cross-border Mobile Population Based on Information Fusion Technology

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Authors

Lixia Wu Affiliation:
Department of Public Security, Guangxi Police College, Nanning, Guangxi, 530029, China


Abstract

In the context of continuous globalization, how to put the cross-border mobile population under the rule of law for innovative management, it is a much-needed pathway to find in today’s society. This paper proposes to improve the legislation, establish a data platform, management strategies for creating bilateral educational cooperation models. Information fusion using maximum likelihood and least squares methods, collating and analyzing data from multiple sources, innovative governance strategies for cross-border mobile populations. To improve the social integration of cross-border mobile populations at the level of social integration, social recognition, etc. Safeguard social stability at the border. For example, the creation of a bilateral educational cooperation model, it has been proved by experimental results that education helps to improve the local living conditions of cross-border mobile populations. If more education could be made available to the mobile, would allow for broader career options for cross-border mobile populations, increase their social inclusion level by 9 percent, and increase their intention to stay locally by 0.9 percentage points. Provides a good internal environment for its integration, enhancing the stability of cross-border mobile population migration, it is of great significance to the social stability of the border area.


Keywords

Information Convergence Technology, Mobile Population, Social Stability, Management Strategy, Social Inclusion, 91D20


Citation

Wu, L. (2023). Innovative management strategies for the rule of law of cross-border mobile population based on information fusion technology. Applied Mathematics and Nonlinear Sciences, 8(1). https://doi.org/10.2478/amns.2023.1.00226

Published by: Engineering Journals

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