IJSEA Volume 12 Issue 1

Empirical Analysis of Remote Monitoring for the Development of Jinxiu Yao Cultural Tourism Resources Based on Real-Time Unmanned Sensor Image Technology

Wang Wenming
10.7753/IJSEA1201.1005
keywords : QoS Performance Evaluation, Real-Time Sharing Platform, Intelligent Courses

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In the process of classroom teaching, the intelligent cloud teaching method with the blue ink cloud class app tool as the core application is introduced, and the smart campus platform is used to "fancy teaching" in the form of animation, micro-video, micro-class, MOOC, live broadcast, etc. The popular form and language convey the relevant knowledge and principles of management, mainly refers to the autonomous and intelligent methods adopted when implementing QoS decision-making and control in the cognitive network environment, to solve the problems of poor adaptability and comprehensiveness of dynamic and changeable networks. It can effectively improve the utilization of network resources and ensure the end-to-end QoS of the network. And emphatically introduced the ADO involved in the system development process. NET, XML and other key technologies, on this basis, the paper introduces the NET's intelligent teaching platform solution, the framework and overall design of the teaching platform.
@artical{1212023ijsea12011005,
Title = "Empirical Analysis of Remote Monitoring for the Development of Jinxiu Yao Cultural Tourism Resources Based on Real-Time Unmanned Sensor Image Technology",
Journal ="International Journal of Science and Engineering Applications (IJSEA)",
Volume = "12",
Issue ="1",
Pages ="13 - 16",
Year = "2023",
Authors =" Wang Wenming"}