期刊：
International Journal of Continuing Engineering Education and Life-Long Learning,2019年29(4):293-305 ISSN：1560-4624
通讯作者：
Zheng, HK
作者机构：
[Huikai Zheng] Hunan City Univ, Sch Urban Management, Yiyang 413000, Peoples R China.;[Zachary Perez] Univ Cent Lancashire, Sch Humanities & Social Sci, Preston, Lancs, England.
通讯机构：
[Zheng, HK ] ;Hunan City Univ, Sch Urban Management, Yiyang 413000, Peoples R China.
关键词：
internet of things technology;multimedia;engineering teaching;system design.
摘要：
In order to improve the multimedia control performance of teaching, a multimedia engineering teaching system design model based on internet of things technology is proposed. The overall structure model of the real estate engineering multimedia teaching system design is constructed based on the embedded ARM core. The system integration control is implemented through the decentralised control method, and the overall design framework of the real estate engineering teaching system is carried out. The internet of things networking technology is used for system network design, the VIX bus technology is used to carry out real estate engineering teaching data communication and information processing, and the software design of the multimedia engineering teaching system is realised in embedded environment. The test results show that adopting this method to design the multimedia engineering teaching system can provide better robustness, stronger human-computer interaction, and can realise multimedia integrated control of teaching system.
期刊：
Journal of Applied Science and Engineering,2019年22(1):163-170 ISSN：1560-6686
通讯作者：
Liu, Y.
作者机构：
School of Electric Automation, Weifang University of Science and Technology, Weifang, 262700, China;Department of Mechanical and Electronic Engineering, Shandong Management University, Ji'nan, 250357, China;Department of City Management, Hunan City University, Yiyang, Hunan, 413000, China
通讯机构：
Department of City Management, Hunan City University, Yiyang, Hunan, China
关键词：
Feature Extraction;Gabor Wavelet;Support Vector Machine;Three Dimension Face Recognition
摘要：
This paper establishes evaluation indicators of the real estate marketing planning course teaching reform, uses relevant models of extension matter element theory to construct multidimensional extension matter element model of the real estate marketing planning course teaching reform evaluation, and uses cases to carry out empirical analysis. Empirical evidence shows that real estate marketing planning course teaching reform indicators are in line with the current direction of real estate marketing pluming courses teaching reform. The extension matter element evaluation method can evaluate complex, intersecting and uncertain real estate marketing planning course teaching reform indicators effectively, comprehensively and objectively, which is an effective evaluation method.
期刊：
International Journal of Continuing Engineering Education and Life-Long Learning,2019年29(1-2):72–86 ISSN：1560-4624
通讯作者：
Peng, Z.-C.
作者机构：
1. College of Construction Management, Jiangsu Vocational Institute of Architectural Technology, Xu Zhou, 221116, China;2. College of Construction Management, Jiangsu Vocational Institute of Architectural Technology, Xu Zhou, 221116, China;3. College of Management, Hunan City University, Yiyang, Hunan, 413000, China
通讯机构：
College of Management, Hunan City University, Yiyang, Hunan, China
摘要：
The traditional network interactive teaching system does not consider the real-time interaction of teaching information resources, and there is a problem that students' teaching feedback is not in place. To this end, an interactive teaching system based on MOOC is proposed. The teaching system adopts the B/S mode, and divides the system into a presentation layer, a business layer and a data layer to improve the processing speed. And an interactive communication module is designed, which realises the real-time interaction of the video classroom in the network era, and achieves the purpose of cultivating students' independent learning ability. The experimental results show that the system improves the cognitive ability of students by about 20%, and improves the ability of students to develop learning plans, indicating that the system has a significant impact on the cultivation of students' self-learning ability.
