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Application of artificial intelligence technology and embedded digital image in interior design
Affiliation:1. Department of Pathology, The Second People''s Hospital of Dongying, Dongying, Shandong, 257000, China;2. Department of Hematology, The Eighth People''s Hospital of Qingdao, Qingdao, Shandong, 266000, China;3. Department of Laboratory, Yaoqiang Street Office Community Health Service Center, Jinan, Shandong, 250000, China;4. Pediatrics, Yaoqiang Street Office Community Health Service Center, Jinan, Shandong, 250000, China;5. Department of Pharmacy, Jinan Hospital of Traditional Chinese Medicine, Jinan, Shandong, 250000, China;1. Department of Pediatrics, People''s Hospital of Jiyang District, Jinan, Shandong 251499, China;2. Department of Neonatology, Jinan Central Hospital, Jinan, Shandong 250013, China;3. Department of Pediatrics No.3, Jinan Central Hospital, Jinan, Shandong 250013, China;1. School of Sports and Health, Tianshui Normal University, Tianshui, Gansu, 741000, China;2. College of Physical Science and Technology, Guangxi Normal University, Guilin, Guangxi, 541004, China
Abstract:The digital technologies of Artificial Intelligence (AI) has been redefined. The modern technology economy has paved the way. Artificial Intelligence (AI) methods have gained significant researchers' awareness and have been used efficiently to solve engineering issues. Artificial intelligence for large and complex challenges, can thus take a lot of time to simulate and random search. Instructions AI researchers' close attention, and both were successfully solve technical problems. AI algorithms as well because of the random search function takes a lot of time with large and complex problems. Therefore, the development of efficient algorithms to find solutions in real-world applications of limited resources, time and money to potential demand. Artificial Neural Network (ANN) is proposed architecture of an embedded controller for monitoring a computer image and the image data, which in the case of various kinds of control, especially in the illumination device using the application management AI digitally controlled. Processing system with real-time monitoring and management of digital images of the proposed. Artificial neural network algorithm used to make identification of the luminance values in the area. Embedded microcontroller to complete part of a lighting control system several lighting and imaging sensor measurement and a work area of the control room. The proposed lighting system power consumption measured and compared with the power consumption.
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