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Research Article

Factors influencing the employment intention of private college graduates based on robot control system design

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  • @ARTICLE{10.4108/eetsis.3747,
        author={Le Zhang and Juan Liu and Xia Feng and Yan Hui Li and Le Mei Zhu},
        title={Factors influencing the employment intention of private college graduates based on robot control system design},
        journal={EAI Endorsed Transactions on Scalable Information Systems},
        volume={10},
        number={5},
        publisher={EAI},
        journal_a={SIS},
        year={2023},
        month={9},
        keywords={algorithm design, artificial intelligence, employment orientation, control systems},
        doi={10.4108/eetsis.3747}
    }
    
  • Le Zhang
    Juan Liu
    Xia Feng
    Yan Hui Li
    Le Mei Zhu
    Year: 2023
    Factors influencing the employment intention of private college graduates based on robot control system design
    SIS
    EAI
    DOI: 10.4108/eetsis.3747
Le Zhang1,*, Juan Liu1,*, Xia Feng1,*, Yan Hui Li1,*, Le Mei Zhu1,*
  • 1: Changsha Medical University
*Contact email: liyanhui10102022@163.com, liyanhui10102022@163.com, liyanhui10102022@163.com, liyanhui10102022@163.com, zhulemei1228@163.com

Abstract

INTRODUCTION: Robotics is currently the most cutting-edge international science and technology, as well as a high-value-added core technology. Robots are widely used in a variety of industrial fields, as a new direction in the development of robotics, and play an important role in solving the current employment problems in China. OBJECTIVES: This paper combines its research results, introduces the machine learning method in the robot control system, and establishes the employment index system in the robot working environment by combining the employment factors with the environmental relationship analysis. METHODS: This paper combines its research results, introduces the machine learning method in the robot control system, and establishes the employment index system in the robot working environment by combining the employment factors with the environmental relationship analysis. RESULTS: The study found that the willingness of university students to choose a job gradually increases as their education level rises; the lower the level of education, the weaker their willingness to look for a job; the higher the level of education the more sensitive they are to the quality of education and educational specialities, the higher their willingness to work. CONCLUSION: Based on the robot control system design the factors that have an impact on the environment in real economic activities (e.g., age, gender, occupation, education level, etc.) play a role in promoting the future application and development of robotics in China.

Keywords
algorithm design, artificial intelligence, employment orientation, control systems
Received
2023-09-05
Accepted
2023-09-05
Published
2023-09-05
Publisher
EAI
http://dx.doi.org/10.4108/eetsis.3747

Copyright © 2023 Zhang et al., licensed to EAI. This is an open-access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.

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