scholarly journals Labor Education in Primary and Secondary Schools in the New Era Based on Modern Information Technology

2021 ◽  
Vol 5 (11) ◽  
pp. 89-94
Author(s):  
Liansen Wen

With the rapid development of information technology represented by artificial intelligence (AI), there has been a great impact on educational methods, educational behaviors, and educational models. It can even be said that there is a fundamental change. Especially under the influence of the pandemic, educational behaviors have undergone radical changes. The education management information system in primary and secondary schools strengthens the service of labor education for primary and secondary school students, with a data analysis system for labor education. A survey on labor education in 103 primary and secondary schools in the region has been carried out. Information technology can well improve the form of labor education in primary and secondary schools and promote the development of labor education. Big data can be used to objectively analyze the problems of labor education in primary and secondary schools, thus proposing a new era of labor education data analysis system and management for primary and secondary schools.

2014 ◽  
Vol 1028 ◽  
pp. 57-61
Author(s):  
Jun Hong Wang ◽  
Chang Du ◽  
Li Gong Ling

Welding used as a material connecting technology is widely applied in the manufacture and plays an important role. At present the rapid development of our country's manufacture results in the requirements of higher and higher welding quality. The advanced data analysis system was used in the welding process, to obtain parameters which were able to reflect the characteristics of welding process. On that basis, the parameters of welding process can be optimized and then offer help to improve the welding quality. The data analysis systems designed in this paper can be used in analyzing electrical signals, high-speed camera images and spectral data in the welding. This data analysis system provided a wide range of functions, such as: mapping of voltage and current waveforms, U-I curve, probability density curves of voltage and current, voltage and current filtering, calculation of short-circuit frequency, short-cycle variance and shot droplet transfer cycle variance, the importation of energy and integral of the spectrum intensity, analyzing the relevance of the electrical signals, playing multi-information of arc synchronously. In the experiment of pulsed MAG welding and laser-pulse MAG welding, the system was used in comparing the multi-information of the arc and its function was absolutely embodied.


2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Cheng Chen ◽  
Tien-Shou Huang ◽  
Jui-Chan Huang ◽  
Chi-Hung Shih ◽  
Yun Du

With the rapid development of information science today, multifunctional and intelligent applications have gradually become the focus of attention. In the data management system, the first consideration is the reliability of the data source, followed by the intelligent processing after the data are collected. Due to the upgrade of the Internet to the Internet of Things, the way of network information transmission has also become a problem that people need to think about. The transmission mode of network information services will be converted from the passive transmission of information by traditional servers to the form of actively pushing information. The application of intelligent push technology in the field of the Internet of Things is a prominent and important direction in the development of the Internet of Things. This article mainly introduces the research on the intelligent music push and data analysis system based on the 5G Internet of Things, with the intention of providing some ideas and directions for the research of the music intelligent push and play and data analysis system. This paper proposes a research method for music intelligent push playback and data analysis system based on 5G Internet of Things, including current intelligent push related technologies, music evaluation matrix, user dissimilarity matrix, and music feature similarity calculation. The experimental results in this paper show that with the increase in the number of users, the accuracy of the recommended results of the system under the Hadoop framework gradually stabilizes, eventually reaching 91.2%.


2018 ◽  
Vol 89 (10) ◽  
pp. 10K114 ◽  
Author(s):  
M. C. Thompson ◽  
T. M. Schindler ◽  
R. Mendoza ◽  
H. Gota ◽  
S. Putvinski ◽  
...  

1977 ◽  
Vol 72 (360) ◽  
pp. 711 ◽  
Author(s):  
Ming-Mei Wang ◽  
Melvin R. Novick ◽  
Gerald L. Isaacs ◽  
Dan Ozenne

1992 ◽  
pp. 283-294
Author(s):  
M. S. Strickman ◽  
J. E. Grove ◽  
W. N. Johnson ◽  
R. L. Kinzer ◽  
R. A. Kroeger ◽  
...  

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