Research Article
Quality evaluation system of engineering cost education curriculum based on data clustering
@ARTICLE{10.4108/eai.11-2-2022.173451, author={Kong Liang and Cai Xiao-qing and Lu Hui}, title={Quality evaluation system of engineering cost education curriculum based on data clustering}, journal={EAI Endorsed Transactions on Scalable Information Systems}, volume={9}, number={6}, publisher={EAI}, journal_a={SIS}, year={2022}, month={2}, keywords={Data clustering, Project cost, Educational courses, Quality, Evaluation system, Infrastructure layer}, doi={10.4108/eai.11-2-2022.173451} }- Kong Liang
Cai Xiao-qing
Lu Hui
Year: 2022
Quality evaluation system of engineering cost education curriculum based on data clustering
SIS
EAI
DOI: 10.4108/eai.11-2-2022.173451
Abstract
Aiming at the problems of poor evaluation effect and long system response time in the existing project cost course quality evaluation system, a project cost education course quality evaluation system based on data clustering is designed. The data acquisition module of infrastructure layer is used to collect the quality evaluation data of engineering cost education course, and the collected data is transmitted to the upper computer by can communication module. The processor control module in the upper computer transmits the data to the course quality evaluation module, and the processor control module selects 32-bit fixed-point chip TMS320F2812; After receiving the data, the course quality evaluation module uses the fuzzy matter-element proximity clustering evaluation method in data mining to evaluate the quality of engineering cost education courses. The evaluation results are transmitted to the application layer for users to use, and the evaluation results are displayed to users through the display interface of the display layer to complete the system design. The experimental results show that the proposed system can complete the quality evaluation of engineering cost education course, the response time of system evaluation is controlled within 400ms, and the response efficiency of the system is improved.
Copyright © 2022 Kong Liang et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license, which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
