Integrating data mining with internet of things to build the music project management system

Liu, Weiming

doi:10.1007/s12652-020-02327-x

Cited by 6 publications

(3 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The method of fuzzy subspace information scheduling is used to share and schedule the resources of music quality education under the background of digital technology [15,16]. The average mutual information entropy and the feature distribution set of association rules of music quality education resources under the background of digital technology are extracted, and the grouping detection of music quality education resources under the background of digital technology is carried out by using the feature matching, block fuzzy, fusion, and clustering method [17]. In fact, the expression of dynamic distribution feature quantity of music quality education resources under the background of digital technology is obtained as follows:…”

Section: Digital Technology Background Music Quality Educationmentioning

confidence: 99%

A Resource Sharing System for Music Education Using the Entropy Technology

Zhao

2022

Mobile Information Systems

View full text Add to dashboard Cite

In order to improve the sharing level of music quality and educational resources within the background of emerging digital world, it is essential to design new methods. In this paper, we design a method for music quality education and a resource sharing system within the context of digital world which is established over the entropy technology. The designed structure includes the collection module of music quality education resources, the interactive compilation module of music education resources, the bottom data detection module, the cross bus control module, and the man-machine interface module under the background of digital technology. The information entropy feature extraction technology is adopted to schedule the bus in the process of sharing and transmitting music quality educational resources under the background of digital technology, and the transmission model of music quality education resources is designed. The modular design method of bottom database is adopted to realize the interactive and storage design of music quality education resources under the background of digital technology. Under the background of digital technology, the average mutual information entropy and feature distribution of association rules of music quality education resources are extracted. Furthermore, the method of fuzzy subspace information scheduling is combined with the entropy approach to share and schedule music quality educational resources, so as to comprehend the software development and, therefore, the design of music quality education and resource sharing system under the background of digital knowledge. The simulation outcomes confirm that under the background of digital technology, the music quality education and resource sharing system has good output stability and, therefore, strong human-computer interaction ability.

show abstract

Section: Digital Technology Background Music Quality Educationmentioning

confidence: 99%

A Resource Sharing System for Music Education Using the Entropy Technology

Zhao

2022

Mobile Information Systems

View full text Add to dashboard Cite

show abstract

“…More teachers prefer to assess students' music teaching in the classroom, which is usually carried out by means of oral assessment. Liu [17] believed that improving the tracking and evaluation of students' learning quality of music is conducive to improving the quality of music teaching. It uses the Internet of ings technology and big data technology to design and develop a music teaching quality management system.…”

Section: Related Workmentioning

confidence: 99%

Evaluation Method of Music Teaching Effect Based on Fusion of Deep Neural Network under the Background of Big Data

Fan

2022

Discrete Dynamics in Nature and Society

View full text Add to dashboard Cite

Music is an art course that is different from traditional subjects. It not only needs to teach basic music knowledge but also needs to show the timbre contained in music itself, the form of music creation, or the effects expressed by music. The teaching effect evaluation model for traditional subjects can no longer be applied to the teaching effect evaluation of music subjects. If the traditional subject teaching effect evaluation model is used to evaluate the music subject teaching effect, it will easily lead to the inaccuracy of the effect evaluation. Because there is a strong subjectivity in the evaluation of the teaching effect of music subjects, this study combines deep neural network technology to study the feasibility and accuracy of the convolutional neural network (CNN) and long short-term memory neural network (LSTM) method in the evaluation of music teaching effects. It mainly reflects the evaluation under the three characteristics of music basic knowledge, music expression effect, and music innovation effect. The research results show that the CNN and LSTM methods can better extract the three features in the evaluation of music teaching effect, and the maximum prediction error is only 2.23%. Hybrid CNN-LSTM with LSTM neural network has higher accuracy in predicting music teaching effect than single neural network technique. The linear correlation coefficients also all exceeded 0.955.

show abstract

“…With the ongoing reform of education, music teaching has become an important part of quality education. In music teaching process, the need to mobilize students' learning, abandon the boring and monotonous teaching mode and teaching content and make the students learn in a relaxed and pleasant environment music knowledge and skill in music [ 8 ]. The information assisted teaching of music education belongs to one part of educational information.…”

Section: Introductionmentioning

confidence: 99%

Optimization of the Music Teaching Management System Based on Emotion Recognition

Wang¹

2022

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

Along with the development of social informatization, computer has been widely used in daily teaching and the technical support teaching management system, which can greatly improve the quality of students and teachers’ information sharing and teaching, and is an important part of college information construction. Teachers’ personal information, teaching information query, teaching file management, students’ attendance, students’ results query, teachers’ evaluation, and so on constitute the music teaching information management system. Based on the Internet of things technology and emotion recognition, this paper mainly describes the design idea of the music teaching management system software, function design, and implementation scheme. The realization process of each subfunction module and hardware and software of the system is described in detail. In view of the characteristics of music teaching management itself, combined with the actual situation of music teaching, to form the system structure analysis, database design and data exchange, and other aspects of exploration, in order to establish a practical music teaching management system.

show abstract

Integrating data mining with internet of things to build the music project management system

Cited by 6 publications

References 27 publications

A Resource Sharing System for Music Education Using the Entropy Technology

A Resource Sharing System for Music Education Using the Entropy Technology

Evaluation Method of Music Teaching Effect Based on Fusion of Deep Neural Network under the Background of Big Data

Optimization of the Music Teaching Management System Based on Emotion Recognition

Contact Info

Product

Resources

About