scholarly journals Application of Artificial Intelligence Technology in Computer Aided Art Teaching

2021 ◽  
Vol 18 (S4) ◽  
pp. 118-129
Author(s):  
Caixia He ◽  
Baoguo Sun
Keyword(s):  
Artificial Intelligence ◽  
Art Teaching ◽  
Computer Aided ◽  
Artificial Intelligence Technology

scholarly journals Research on Artificial Intelligence Interaction in Computer-Aided Arts and Crafts

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Juqing Deng ◽  
Xiaofen Chen
Keyword(s):  
Artificial Intelligence ◽  
Computer Software ◽  
Development Trend ◽  
Computer Art ◽  
Arts And Crafts ◽  
Process Art ◽  
Computer Aided ◽  
Artificial Intelligence Technology ◽  
Art Design ◽  
The One

Background. With the continuous maturity of computer software and hardware technology, the theory and method of computer-aided art design have developed rapidly. Objective. Applying artificial intelligence theory to computer-aided process art design is one of the newly developed research hotspots, and it is also the development trend of industrial design modernization. Methods. On the one hand, it can transplant the research results in the field of artificial intelligence into computer-aided art design, and on the other hand, it expands the application field of artificial intelligence, so that the two can be perfectly combined to promote common development. Results. With the development of artificial intelligence technology, computer art has gradually become a very active field, and a large number of computer art works are available every year. Conclusions. This paper briefly describes the basic concepts of computer-aided art design and artificial intelligence and discusses the application of artificial intelligence in computer-aided art design.

Design and Implement of Computer Aided Instruction System for Statistical Quality Control Based on Artificial Intelligence Technology

2011 ◽  
Vol 138-139 ◽  
pp. 920-925 ◽  
Author(s):  
Chun Lian Wang
Keyword(s):  
Artificial Intelligence ◽  
Quality Control ◽  
Statistical Quality Control ◽  
Computer Aided Instruction ◽  
Teaching System ◽  
Instruction System ◽  
Statistical Quality ◽  
Expert Teaching ◽  
Computer Aided ◽  
Artificial Intelligence Technology

In order to design and implement a computer aided instruction system; the application of the artificial intelligence technology is studied in depth using statistical quality control as example. Firstly the statistical quality control teaching was analyzed. And then the design ideas of the computer aided instruction system are put forward. And then the structure of the expert teaching system is designed. And then the interacting ways of the expert system was analyzed. Finally the application of the expert teaching system was summarized.

Virtual Screening Meets Deep Learning

2018 ◽  
Vol 15 (1) ◽  
pp. 6-28 ◽  
Author(s):  
Javier Pérez-Sianes ◽  
Horacio Pérez-Sánchez ◽  
Fernando Díaz
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Deep Learning ◽  
Virtual Screening ◽  
Great Increase ◽  
New Drugs ◽  
Learning Approach ◽  
Screening Strategies ◽  
Computer Aided ◽  
Recent Developments

Background: Automated compound testing is currently the de facto standard method for drug screening, but it has not brought the great increase in the number of new drugs that was expected. Computer- aided compounds search, known as Virtual Screening, has shown the benefits to this field as a complement or even alternative to the robotic drug discovery. There are different methods and approaches to address this problem and most of them are often included in one of the main screening strategies. Machine learning, however, has established itself as a virtual screening methodology in its own right and it may grow in popularity with the new trends on artificial intelligence. Objective: This paper will attempt to provide a comprehensive and structured review that collects the most important proposals made so far in this area of research. Particular attention is given to some recent developments carried out in the machine learning field: the deep learning approach, which is pointed out as a future key player in the virtual screening landscape.

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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