Digital media recording and broadcasting classroom using Internet intelligent image positioning and opinion monitoring in communication

Abstract

PurposeThe digital media recording and broadcasting classroom using Internet real-time intelligent image positioning and opinion monitoring in communication teaching is researched and analyzed.Design/methodology/approachFirst, spatial grid positioning and monitoring and image intelligent recognition technologies were used to extract and analyze teaching images by mastering Internet of Things (IoT) technology and establishing an intelligent image positioning and opinion monitoring digital media recording and broadcasting system framework. Next, a positioning node algorithm was utilized to measure the image distance, and then a moving node location model under the IoT was established. In addition, a radial basis function (RBF) neural network was used to realize the signal transmission function. The experimental data of the adopted RBF based on the optimization of the adaptive cuckoo search (ACS-RBF) neural network, particle swarm algorithm neural network, and method of least squares optimization were compared and analyzed. In addition, a more efficient RBF neural network was adopted. Finally, the digital media recording and broadcasting classroom scheme of real-time intelligent image positioning and opinion monitoring was designed. In addition, the application environment of digital media actual teacher teaching was detected, and recording and broadcasting pictures were analyzed and researched.FindingsThe actual value, predicted value, and the number of predicted samples of the ACS-RBF model were all better than those of the two other neural networks. According to the analysis and comparison of the sampling optimization Monte Carlo localization (SOMCL), Monte Carlo, and genetic algorithm optimization-based Monte Carlo positioning algorithms, the SOMCL algorithm showed better robustness, and its positioning efficiency was superior to that of the two other algorithms. In addition, the SOMCL algorithm greatly reduced the positioning and monitoring energy consumption.Originality/valueThe application of real-time intelligent image positioning and monitoring technology in actual communication teaching was realized in the study.

Guest editorial: Contemporary learning behaviors on mobile devices and social media – part II

“…On the other hand, researchers use AI for learning analytics. In this issue, Wu (2024) uses Internet real-time intelligent image positioning and opinion monitoring for Internet real-time intelligent image positioning and opinion monitoring in communication teaching and compares the robustness and performance of several optimization algorithms. Meng et al .…”

Editorial: Advances in information and knowledge management

“…People have changed their information habits to digital, particularly for the newer generation (Cheung et al ., 2023; Dai and Chiu, 2023; Guo et al ., 2022; Nguyen and Le, 2021; Leung et al ., 2022; Li et al ., 2021; Lu et al ., 2023; Soroya and Faiola, 2023; Sung and Chiu, 2022; Yi and Chiu, 2023; Yu et al ., 2022; Wong and Chiu, 2023c; Wong et al ., 2023b; Wu and Zhang, 2022). Further, digitalization technology enables libraries and scholars to share links and content on social media to attract users (Banshal et al ., 2022; Lo et al ., 2019; Ocran and Afful-Arthur, 2022; Pianzola et al ., 2022; Yang et al ., 2020; Wu et al ., 2022a; Wu, 2022; Xu and Du, 2022). In particular, e-loyalty and e-trust are essential for digital service adoption and usage continuance (Chan et al ., 2022; Wang et al ., 2022b; Yin et al ., 2023).…”

Guest editorial: Contemporary learning behaviors on mobile devices and social media

“…Readers may also be interested in other recent analytics methods such as digital media recording and broadcasting using intelligent imaging in classrooms (Wu, 2022), curriculum reform with data analytics (Ho et al , 2023), corpora creation from the social web (de Carvalho and Costa, 2022), structure-function recognition with DL (Liu and Zhao, 2022) and wisdom-based decision methods (Nguyen, 2021). See also Yew et al (2022) for a recent review of technological components for Library and Information Science curricula and Li and Chiu (2022) for that concerning archival education.…”