BP Neural Network Based on Microwave Method for Measuring the Moisture Content of Textile

The moisture content of yarn and fabric is an important factor in textiles industry.A novel microwave method used for material moisture content measurements is described in this paper.It can estimate the moisture content of the yarn roll with a standard deviation of 1.58% in the range of 0% to 90.00%.According to the actual size of the yarn,the yarn roll simulation model is established.The microwave attenuation variations arising from the changes in the conductivity and dielectric constant of the wet cone yarn from1.8 GHz to 5.0 GHz frequency are obtained by ultra-wideband antenna.The measured data are analyzed using the BP neural network.The result shows that it is a non-contact and online method to solve the moisture content of the yarn in the wide moisture content range.     

基于仿真技术的计算机网络课程辅助教学

利用开放的网络仿真系统,进行计算机网络课程的辅助教学,设计开发基于NS2及相关工具的一系列网络实验,较为全面系统地覆盖课程知识点,并介绍在教学的过程中利用仿真系统的方法和体会.最后,通过一个知识难点的教学实践例子,说明如何利用仿真技术将协议细节和网络性能进行细致地刻画和清晰地展示,达到良好的教学目的.     

AHP-FCE Based Physical Exercise Risk Evaluation Model

Exercise is a highly proven and beneficial health promotion modality. But it is very difficult to determine whether the person during exercise is safe. A unique and comprehensive approach is proposed to perform physical exercise risk evaluation (PERE), in which personalized factors are determined basing on grey correlation analysis, analytic hierarchy process (AHP) method is used to structure the large numbers of risk factors, and fuzzy comprehensive evaluation (FCE) is applied to fuzzify the factors and compute the exercise risk level. Finally, an actual calculation example is used to verify the feasibility of the method.     

高速率数据下IEEE 802．15．4网络的性能分析和拓扑优化

生理、环境监测等网络要求较高的网络吞吐量,并以中低速率网络流量为主,但特殊情况下,需要传输较高速率数据.为了使网络能够适应高速率数据传输需求,通过网络仿真,比较了IEEE 802.15.4网络各种拓扑结构在面对高速率数据传输需求情况下的网络性能,给出了双星型拓扑优化方案使网络性能得到提升,并通过分析饱和吞吐量与节点数量之间的关系,为实际应用双星型结构提供了参考.