Preliminary study on registration of natural resource assets in national park based on artificial intelligence technology

2021 ◽  
Author(s):  
Jing Chen ◽  
Zhenguo Yu
Keyword(s):  
Artificial Intelligence ◽  
Natural Resource ◽  
National Park ◽  
Artificial Intelligence Technology ◽  
Preliminary Study

scholarly journals A Preliminary Study on the Management Strategy of University Personnel Files based on Artificial Intelligence Technology

2021 ◽  
Vol 5 (2) ◽  
pp. 1-4
Author(s):  
Litao Cui
Keyword(s):  
Artificial Intelligence ◽  
Theoretical Analysis ◽  
Management Strategy ◽  
Colleges And Universities ◽  
File Management ◽  
University Personnel ◽  
Complex Process ◽  
Artificial Intelligence Technology ◽  
Preliminary Study ◽  
Content Preservation

In order to improve the management strategy for personnel files in colleges and universities, simplify the complex process of file management, and improve file management security and content preservation of the files. This paper elaborates on the application of Artificial Intelligence (AI) technology in university personnel file management through theoretical analysis based on the understanding of AI 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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