Real time image processing and operation management of multicultural communication platforms based on deep learning
Chi Zhang, Jiaqi Guo · 2023
The promotion and utilization of modern technology has made intercultural exchanges more frequent and deep, and secure image encryption and processing are hot issues for multicultural IOT communication platforms in the context of globalization for smart cities. In this paper, the re-al-time image encryption test and resource scheduling optimization analysis of multicultural communication platform are carried out based on convolutional neural network. First, we encrypt the image based on the layered image encryption technology of the chaotic system and the Feistel network. Secondly, through different strength encryption algorithms and different convolutional network structures, the encrypted images are classified and analyzed, and the encryption effect of the images is tested by the classification accuracy. In addition, we construct a task-resource scheduling model and design scheduling optimization schemes for the model from the aspects of data flow and control flow, so as to realize the mapping of network model to the IOT cloud plat-form and the reasonable scheduling of task resources on the software and hardware side.