Digital media recording and broadcasting classroom using Internet intelligent image positioning and opinion monitoring in communication
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| Publicado en: | Library Hi Tech vol. 42, no. 2 (2024), p. 427-446 |
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| Autor principal: | |
| Publicado: |
Emerald Group Publishing Limited
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| Materias: | |
| Acceso en línea: | Citation/Abstract Full Text Full Text - PDF |
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MARC
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|---|---|---|---|
| 001 | 3058773516 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 0737-8831 | ||
| 022 | |a 2054-166X | ||
| 024 | 7 | |a 10.1108/LHT-09-2021-0315 |2 doi | |
| 035 | |a 3058773516 | ||
| 045 | 2 | |b d20240301 |b d20240430 | |
| 084 | |a 45886 |2 nlm | ||
| 100 | 1 | |a Wu, Huanchao |u Zhejiang University of Finance and Economics, Hangzhou, China; Universiti Teknologi MARA, Kuala Lumpur, Malaysia | |
| 245 | 1 | |a Digital media recording and broadcasting classroom using Internet intelligent image positioning and opinion monitoring in communication | |
| 260 | |b Emerald Group Publishing Limited |c 2024 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a 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. | |
| 653 | |a Teaching | ||
| 653 | |a Digital imaging | ||
| 653 | |a Students | ||
| 653 | |a Technological change | ||
| 653 | |a Lighting systems | ||
| 653 | |a Internet of Things | ||
| 653 | |a Communication | ||
| 653 | |a Identification | ||
| 653 | |a Data search | ||
| 653 | |a Least squares method | ||
| 653 | |a Data processing | ||
| 653 | |a Unmanned aerial vehicles | ||
| 653 | |a Educational technology | ||
| 653 | |a Monitoring | ||
| 653 | |a Broadcasting | ||
| 653 | |a Energy consumption | ||
| 653 | |a Signal transmission | ||
| 653 | |a Digital media | ||
| 653 | |a Classrooms | ||
| 653 | |a Neural networks | ||
| 653 | |a Genetic algorithms | ||
| 653 | |a Radial basis function | ||
| 653 | |a Radio frequency | ||
| 653 | |a Multimedia | ||
| 653 | |a Sensors | ||
| 653 | |a Optimization | ||
| 653 | |a Recording | ||
| 653 | |a Search algorithms | ||
| 653 | |a Real time | ||
| 653 | |a Information technology | ||
| 653 | |a Adaptive search techniques | ||
| 653 | |a Education | ||
| 653 | |a Algorithms | ||
| 653 | |a Localization | ||
| 653 | |a Classroom communication | ||
| 653 | |a Robustness | ||
| 653 | |a Technology | ||
| 653 | |a Internet | ||
| 653 | |a Function words | ||
| 653 | |a Computer mediated communication | ||
| 653 | |a Teachers | ||
| 653 | |a Mass media images | ||
| 653 | |a Telecommunications | ||
| 653 | |a Monte Carlo simulation | ||
| 653 | |a Mass media | ||
| 653 | |a Genetics | ||
| 653 | |a Networks | ||
| 653 | |a Intelligence | ||
| 653 | |a Positioning | ||
| 653 | |a Sampling | ||
| 773 | 0 | |t Library Hi Tech |g vol. 42, no. 2 (2024), p. 427-446 | |
| 786 | 0 | |d ProQuest |t ABI/INFORM Global | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3058773516/abstract/embedded/75I98GEZK8WCJMPQ?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/3058773516/fulltext/embedded/75I98GEZK8WCJMPQ?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3058773516/fulltextPDF/embedded/75I98GEZK8WCJMPQ?source=fedsrch |