Design of Online Management System for Painting Teaching Based on Artificial Intelligence Technology

2021 ◽  
pp. 130-142
Author(s):  
Dong-dong Suo ◽  
Yi-jia Shang
Keyword(s):  
Artificial Intelligence ◽  
Management System ◽  
Artificial Intelligence Technology ◽  
Online Management

Research on the framework of university ideological and political education management system based on artificial intelligence

2021 ◽  
pp. 1-10
Author(s):  
Xuying Sun ◽  
Yu Zhang
Keyword(s):  
Artificial Intelligence ◽  
Political Theory ◽  
Outlier Detection ◽  
Management System ◽  
Detection Algorithm ◽  
Colleges And Universities ◽  
Ideological And Political Education ◽  
Political Education ◽  
Data Simulation ◽  
Artificial Intelligence Technology

The importance of the management of ideological and political theory courses in colleges and universities is objective to the importance of ideological and political theory courses. At present, the management of ideological and political theory courses in colleges and universities has big problems in both macro and micro aspects. This paper combines artificial intelligence technology to build an intelligent management system for ideological and political education in colleges and universities based on artificial intelligence, and conducts classroom supervision through intelligent recognition of student status. The KNN outlier detection algorithm based on KD-Tree is proposed to extract the state information of class students. Through data simulation, it can be known that the KD-KNN outlier detection algorithm proposed in this paper significantly improves the efficiency of the algorithm while ensuring the accuracy of the KNN algorithm classification. Through experimental research, it can be seen that the construction of this system not only clarifies the direction of management from a macro perspective, but also reveals specific methods of management from a micro perspective, and to a certain extent effectively solves the problems in the management of ideological and political theory courses in colleges and universities.

scholarly journals The Design of ERP Intelligent Sales Management System

2020 ◽  
Author(s):  
Jianghui Liu ◽  
Qiuyi Chen ◽  
Yuexing Qiu
Keyword(s):  
Artificial Intelligence ◽  
Management System ◽  
Sales Management ◽  
Third Party ◽  
Management Systems ◽  
Sales Forecasts ◽  
Multiple Data ◽  
Information Management Systems ◽  
Artificial Intelligence Technology ◽  
Product Sales

With the popularization of informatization, most companies have their own information management systems. However, faced with massive amounts of data, most companies cannot integrate and utilize its potential value. When traditional companies make sales forecasts, they usually purchase data completion, connect multiple data source channels, and then judge the future sales situation perceptually. This lack of data accumulation and analysis, and it is impossible to display the intrinsic value of the massive data in the system. Some companies will also build professional data analysis teams or seek help from third-party companies. But this will cause high expenses and greatly reduce sales expenses. This study combines artificial intelligence technology with ERP sales management system. We apply artificial intelligence, machine learning, cloud computing to the design and construction of intelligent ERP sales management system. It solves the core problems of enterprise product sales through the deep learning function of the sales system. It may predict enterprise sales and rationally allocate enterprise resources, increase product sales effectively, and help enterprises build effective modern management systems.

Research on English teaching of professional skilled talents training based on artificial intelligence

2021 ◽  
pp. 1-12
Author(s):  
Yanmei Zhu
Keyword(s):  
Artificial Intelligence ◽  
Language Acquisition ◽  
Management System ◽  
Integrated Management ◽  
Skills Training ◽  
English Teaching ◽  
Integrated Management System ◽  
Resource Information ◽  
Teaching Resource ◽  
Artificial Intelligence Technology

This article uses artificial energy to analyze literature reading and cases in English teaching of vocational skills training analyzes the current situation of artificial intelligence technology and colleges and universities and proposes the application of artificial intelligence technology to vocational skills training. To improve the quality of teaching in English teaching, we researched on English teaching in artificial intelligence from a theoretical perspective. Through literature research, we find the matching point between constructivism theory and artificial intelligence-assisted teaching, and through the second language acquisition theory and communicative teaching method to summarize the language acquisition process assisted by artificial intelligence. Based on the constructivist teaching theory, with the help of the 4 C/ID model idea, combined with the characteristics and functions of artificial intelligence, artificial intelligence, and traditional teaching activities are organically combined to design a teaching design model of artificial intelligence assisted English teaching. It designed an integrated management system for English teaching resource information based on artificial intelligence. The hardware design of the system is realized relying on the design of the English teaching resource storage module and system server design. Based on the design of the system operating environment and database design, the software design of the system is realized. The results show that the proposed integrating management system of English teaching resource information is more suitable for sharing English teaching resource information than the conventional integrated management system of English teaching resource information. The combination of artificial intelligence and English teaching will surely bring breakthroughs in the development of high-intelligence teaching. The potential of artificial intelligence in the field of education is unlimited. As with the impact of computer technology on education reform, we have reason to believe that AI-assisted instruction will become an important direction of modern educational technology.

scholarly journals A Study of Automatic Judgment of Food Color and Cooking Conditions with Artificial Intelligence Technology

Processes ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 1128
Author(s):  
Chern-Sheng Lin ◽  
Yu-Ching Pan ◽  
Yu-Xin Kuo ◽  
Ching-Kun Chen ◽  
Chuen-Lin Tien
Keyword(s):  
Artificial Intelligence ◽  
Image Processing ◽  
Color Space ◽  
Color Difference ◽  
Color Space Conversion ◽  
Before And After ◽  
Artificial Intelligence Technology ◽  
Artificial Intelligence Algorithm ◽  
Time Image ◽  
Cooking Conditions

In this study, the machine vision and artificial intelligence algorithms were used to rapidly check the degree of cooking of foods and avoid the over-cooking of foods. Using a smart induction cooker for heating, the image processing program automatically recognizes the color of the food before and after cooking. The new cooking parameters were used to identify the cooking conditions of the food when it is undercooked, cooked, and overcooked. In the research, the camera was used in combination with the software for development, and the real-time image processing technology was used to obtain the information of the color of the food, and through calculation parameters, the cooking status of the food was monitored. In the second year, using the color space conversion, a novel algorithm, and artificial intelligence, the foreground segmentation was used to separate the vegetables from the background, and the cooking ripeness, cooking unevenness, oil glossiness, and sauce absorption were calculated. The image color difference and the distribution were used to judge the cooking conditions of the food, so that the cooking system can identify whether or not to adopt partial tumbling, or to end a cooking operation. A novel artificial intelligence algorithm is used in the relative field, and the error rate can be reduced to 3%. This work will significantly help researchers working in the advanced cooking devices.

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