多媒体传感网络学习监控实时反馈仿真

Real Time Feedback Simulation for Learning Monitoring of Multimedia Sensor Networks

目前大多数多媒体传感网络学习监控实时反馈方法都是从学生行为监控的角度出发,将行为控制、实时反馈和成果评价统一于一体,这种方法没有对监控图像进行分解去噪,导致监控图像的质量较低,难以保证评估反馈的准确性。为此,提出一种基于多尺度分析的多媒体传感网络学习监控实时反馈方法,先对多媒体传感网络学习监控实时反馈的整体模块进行设计,根据设计结果建立多媒体传感网络学习监控实时反馈模型,并对多媒体传感网络学习监控实时反馈的管理流程进行阐述。对多尺度分析方法进行描述,利用多尺度分析方法重建多媒体传感网络学习监控图像信号,实现多媒体传感网络学习监控的实时反馈。实验结果证明,所提方法能够有效提高监控图像质量和反馈的准确度。且监控反馈的时延较短,满足了监控反馈的实时性。

Most current multimedia sensor network learning method to monitor the real-time feedback from the perspective of student behavior monitoring,behavior control,real-time feedback and evaluating the unified as a whole,this method is not the monitoring image decomposition denoising,lead to monitor the quality of the image is low,difficult to ensure the accuracy of the evaluation feedback.For this,put forward a kind of learning based on multi-scale analysis of multimedia sensor network to monitor real-time feedback method,first to study the multimedia sensor network monitoring real-time feedback of the overall module design,according to the result of design multimedia sensor network learning monitor real-time feedback system model is set up,and to study the multimedia sensor network monitor real-time feedback management process.The multi-scale analysis method is described,and the multi-scale analysis method is used to reconstruct the multimedia sensor network learning monitoring image signal,and realize the real-time feedback of multimedia sensor network learning monitoring.Experimental results show that the proposed method can effectively improve the monitoring image quality and feedback accuracy.And the time delay of monitoring feedback is short,which satisfies the real-time monitoring feedback.