scholarly journals The Application of Artificial Intelligence Technology in the Quality Evaluation of Dance Multimedia Teaching in Higher Vocational Colleges

2020 ◽  
Vol 1533 ◽  
pp. 032059
Author(s):  
Yuting Jiao
Keyword(s):  
Artificial Intelligence ◽  
Quality Evaluation ◽  
Multimedia Teaching ◽  
Artificial Intelligence Technology ◽  
Vocational Colleges

An artificial intelligence and multimedia teaching platform based integration path of IPE and IEE in colleges and universities1

2020 ◽  
pp. 1-10
Author(s):  
Daili Wu ◽  
Hengyun Shen ◽  
Zhiyuan Lv
Keyword(s):  
Artificial Intelligence ◽  
College Students ◽  
High Speed ◽  
Entrepreneurship Education ◽  
Colleges And Universities ◽  
Ideological And Political Education ◽  
Existing Problems ◽  
Integration Strategy ◽  
Multimedia Teaching ◽  
Artificial Intelligence Technology

With the high speed developing technologies of artificial intelligence technology and Internet multimedia, the environment of social public opinion tends to be complex, which puts forward new challenges to the ideological and political education (IPE) of colleges and universities (IPECU) as well as the innovation and entrepreneurship education (IEE) of college students. Under the platform of artificial intelligence and multimedia teaching, the integration of IPE and IEE of college students should be adjusted appropriately according to the actual situation. The goal, content and mode of college students’ IEE and IPE have natural commonality under the platform of artificial intelligence and multimedia teaching, and they promote and influence each other. This paper is to further explore the integration strategy of artificial intelligence and multimedia teaching in IPECU of entrepreneurship education through the analysis of the existing problems and causes in colleges and universities. The author summarizes the core coupling of the current situation of IPECU in entrepreneurship education, as well as the influencing factors of the external environment, and puts forward the corresponding countermeasures.

scholarly journals Application of Virtual Reality Technology in Film and Television Animation Based on Artificial Intelligence Background

2022 ◽  
Vol 2022 ◽  
pp. 1-8
Author(s):  
Yanrong Bao
Keyword(s):  
Artificial Intelligence ◽  
Virtual Reality ◽  
Social Life ◽  
Quality Evaluation ◽  
Course Design ◽  
Television Program ◽  
Sensor Technology ◽  
Teaching Mode ◽  
Film And Television ◽  
Artificial Intelligence Technology

The application of artificial intelligence technology in the film and television field has profoundly changed the content and production methods of television programs and promoted the development and production of a new generation of artificial intelligence television. The popularization of artificial intelligence technology is conducive to improving the quality of television program content, innovating content categories, reducing television program production cost, and improving production efficiency. Due to the popularization and the use of virtual reality (VR) technology in scientific research and social life, the application of VR technology has been studied from the perspective of film and television animation (FTA) teaching, hoping to promote the development of FTA education. First, the existing dynamic environment modeling technology, real-time three-dimensional (3D) graphic generation technology, stereoscopic display, and sensor technology and other VR technologies are combined to carry out teaching design. In view of the current situation of the teaching process of FTA major, the research on these four aspects has been carried out. VR technology is used as an auxiliary teaching tool to complete the basic course teaching of FTA; the 3D animation course and VR technology are combined to improve the teaching effect of professional skill courses. Then, in the application effect, classroom satisfaction, comprehensive quality evaluation, and professional core curriculum effect are compared and analyzed. The results show that the students’ comprehensive quality evaluation in VR technology group is significantly improved, and the satisfaction of classroom atmosphere, teaching mode, and teaching facilities are 75%, 61%, and 81%, respectively. The students in this group can better integrate the new design method into the animation modeling and complete the course design task with high quality. Compared with the traditional teaching mode, the students’ satisfaction is higher and the harvest is greater. Therefore, the use of VR technology in FTA teaching can stimulate students’ interest in learning, improve learning efficiency, and promote the mastery of professional knowledge and skills. The application mode and effect analysis of the proposed VR technology provide a reference for the application of VR technology in FTA teaching.

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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