Institution
Beijing Polytechnic
Education•
About: Beijing Polytechnic is a education organization based out in . It is known for research contribution in the topics: Computer science & Engineering. The organization has 4 authors who have published 5 publications receiving 3 citations. The organization is also known as: Beijing Electronic Technology Vocational College & Beijing Electronic Science and Technology Vocational College.
Topics: Computer science, Engineering, SIGNAL (programming language), Incremental decision tree, Similarity (geometry)
Papers
23 Sep 2022
TL;DR: In this paper , a decision support degree for attributes that are not easily distinguished, and optimizes the decision tree classification algorithm is calculated, and the system functions have reached the expected use effect.
Abstract: In recent years, the school enrollment scale has expanded explosively, and massive student information data sets have brought a lot of troubles to student information management decision-making. Data mining, especially the continuous optimization of decision tree classification algorithms, can effectively manage student data. Therefore, the study of student information management decision system based on decision tree classification algorithm has practical significance. This paper calculates the decision support degree for attributes that are not easily distinguished, and optimizes the decision tree classification algorithm. This article will introduce the modules of student registration management, student status management, examination management and so on in the optimized decision tree classification algorithm application system. In order to verify the feasibility of the system, this article tested and used the basic functions of the system. The test results show that when the number of concurrent users is 100, the actual response time of the system is 0.43s; when the number of concurrent users is 600, the actual response time of the system is 1.56s, which is less than 2s, which verifies that the system functions have reached the expected use effect.
5 citations
1 Jan 2022
1 citations
1 Jan 2022
TL;DR: Zhang et al. as discussed by the authors designed an image recognition method for educational scenes based on machine learning and used the convolutional neural network model in machine learning technology to complete the recognition of educational scene images.
Abstract: The traditional image recognition method mainly relies on the similarity expansion calculation of the prominent features of the image to realize the image recognition. This method not only reduces the recognition accuracy of the image, but also makes the recognition efficiency of the image low due to the complex calculation process. In response to the above problems, this research designed an image recognition method for educational scenes based on machine learning. After performing normalization, denoising, and enhancement preprocessing on the educational scene image, the HOG, SIFT, and Haar features in the image are extracted. Then use the convolutional neural network model in machine learning technology to complete the recognition of educational scene images. Experimental results show that the effective recognition rate of this method is higher than 92%, and compared with traditional methods, the recognition efficiency of this method is significantly improved.
1 Jan 2023
TL;DR: In this article , a video quality diagnosis system based on convolutional neural network is proposed to improve user experience and improve the situation of quality problems in the process of practical application, which includes various construction methods, several main framework structures and related databases.
Abstract: With the rapid development of modern society, people demand higher and higher performance of various products, there are many quality problems in the process of practical application. Therefore, in order to improve user experience and improve this situation this paper proposes a video quality diagnosis system based on convolutional neural network. The design includes various construction methods, several main framework structures and related databases. This paper takes the video quality during video conferencing as the research object, hopes to build a video quality diagnosis system using the theory of convolutional neural network.
Authors
Showing all 4 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Bruno Faustino | 1 | 1 | 2 |
| Haimi Tang | 1 | 1 | 1 |
| S. Brennan | 0 | 1 | 0 |
| Pedro Prueba Prueba | 0 | 1 | 0 |
Performance Metrics
| Year | Papers |
|---|---|
| 2023 | 2 |
| 2022 | 3 |