Innovative talents training mode of science and engineering universities based on the human resources demand of modern enterprise in IoT technology

Issue title: Special Section: Big data analysis techniques for intelligent systems

Guest editors: Ahmed Farouk and Dou Zhen

Article type: Research Article

Authors: Shuzhen, He^{; *}

Affiliations: Yiwu Industrial and Commercial College, Yiwu Zhejiang, China

Correspondence: [*] Corresponding author. He Shuzhen, Yiwu Industrial and Commercial College, Yiwu Zhejiang, China. E-mail: [email protected].

Abstract:  In order to adapt to the rapid development of IoT (Internet of things), the demand for innovative talents in modern enterprises is becoming more and more urgent. Innovation capability and level are characterized by knowledge economy, which is the decisive foundation for the development of the country and society. Starting from the needs of human resources, the training mode of innovative talents in Universities of science and engineering is studied. On the basis of the analysis of the methodological principles of the TRIZ theory, the characteristics of the talents in the IoT are combined. The training of innovative thinking is taken as the guidance, refining the scheme according to the knowledge based tools, and the training of the creative ability of the talents is guided, using the criteria of judging ideality to evaluate the achievements of the innovation. Simulation experiments show that this research can effectively improve the training effect of innovative talents.

Keywords: IoT, human resources, science and engineering universities, talents, research

DOI: 10.3233/JIFS-179132

Journal: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 3, pp. 3303-3310, 2019