Analysis on Output Power for Multi-direction Piezoelectric Vibration Energy Harvester

To predict the performance of multi-direction piezoelectric vibration energy harvester,an equation for calculating its output power is obtained based on elastic mechanics theory and piezoelectricity theory.Experiments are performed to verify theoretical analysis.When the excitation direction is along Y direction,a maximal output power about 0.139 mW can be harvested at a resistive load of 65kΩ and an excitation frequency of 136 Hz.Theoretical analysis agrees well with experimental results.Furthermore,the performance of multi-direction vibration energy harvester is experimentally tested.The results show that the multi-direction vibration energy harvester can harvest perfect energy as the excitation direction changes in XY plane,YZ plane,XZ plane and body diagonal plane of the harvester.     

环雄安新区康养人才培养模式探讨

康养产业在国内尚属于新型的一个产业,而中国的康养产业发展迅速,显示出了勃勃的生机和巨大的发展潜力,但同时也出现了很多问题,其中人才培养是重要的一个环节。当前高等院校在康养行业专业人才培养方面,已经进行了许多探索和尝试,但就整体而言,我国康养行业高校人才培养还存在诸多问题。本文通过分析国内康养人才培养的现状,同时结合雄安新区的实际情况,提出环雄安新区康养人才培养的策略。     

Characterization of ionospheric amplitude scintillations using wavelet entropy detrended GNSS data

The extensive monitoring networks of Global Navigation Satellite System (GNSS) ionospheric scintillation have been established to continuously log observation data. Further, the amplitude scintillation index and the phase scintillation index, which are derived from scintillation observations, are anticipated to accommodate the accuracy requirement of both the user level and the monitoring station level. However, raw scintillation observations essentially measure superposed waveform impairments of GNSS signals propagating through ionosphere and troposphere. It implies that fluctuations of raw scintillation observations are caused by multiple factors from the entire radio propagation environment. Hence, it is crucial to characterize ionospheric scintillations from GNSS observation data. And the characterization is implemented through extracting fluctuations of raw observations merely induced by ionospheric scintillations. Designed to address this problem by means of Fourier filtering detrending, the present work investigates the influence of varying detrending cutoff frequencies on wavelet statistical energy and wavelet entropy distributions of scintillation data. It consequently derives criteria on the optimum detrending cutoff frequency for three types of raw amplitude scintillation data, which are classified by their wavelet energy distributions. Results of the present work verify that detrending with specific optimum cutoff frequencies rather than the fixed and universally applicable one renders the validity and credibility of characterizing ionospheric scintillations as the part of GNSS observation fluctuations purely induced by ionosphere electron density irregularities whose scale sizes are comparable with or smaller than the Fresnel scale.     

TEC differences for the mid-latitude ionosphere in both sides of the longitudes with zero declination

Based on measurements of ground-based GPS station network, differences of the mid-latitude ionospheric TEC in the east and west sides of North America, South America and Oceania have been analyzed in this paper. Results show that for nearly all seasons from 2001 to 2010 and in both sides of the longitudes with zero declination, there exist systematic differences for the mid-latitude ionospheric TEC in the regions mentioned above and the features of these differences markedly depend upon the local time but less depend upon seasons and the level of solar activity. Theory analysis shows that the longitude variations of both declination and zonal thermospheric winds are one of important factors to cause differences of the mid-latitude ionospheric TEC in both sides of the longitudes with zero declination.     

机场终端区域电磁环境分析

主要分析了机场终端区域主要使用的无线电设备及位置分布,各种无线电设备对电磁环境的要求以及信号覆盖、信号强度,对可能存在的干扰进行简单的分析,为进一步对机场终端区电磁环境仿真奠定理论基础。最后,本文对广汉机场的电磁环境进行了具体分析。     

Analytical Calculation Model for Mach Wave Parameters

When a wave shaper is embedded in a liner,Mach wave will emerge above the liner,which affects the head shape of an explosively formed projectile.Mach wave parameters,including radius and pressure need to be determined to effectively match Mach wave with the liner,so that a good head shape can be obtained.An analytical calculation model for Mach wave parameter is presented based on three-shock theory,and the theoretical values agree well with the experimental ones.The analysis shows that when the radius of the wave shaper is constant,the radius of the Mach wave increases,whereas the pressure decreases while increasing the distance between the liner and the wave shaper.When the distance between the liner and the wave shaper is constant,the radius of the Mach wave increases,whereas the pressure decreases when decreasing the radius of the wave shaper.     

民用飞机副翼舱结构振动疲劳寿命预计

副翼舱是民用飞机重要部件之一,主要作用为连接副翼并对安装副翼提供支持,将副翼的气动载荷传递到主翼盒上。当受到气动力及其他激励时副翼舱结构产生结构振动响应。副翼舱结构振动疲劳寿命需满足民用飞机适航条款要求,为表明满足适航条款符合性,对随机动载荷激励下副翼舱结构进行振动疲劳寿命预计具有重要意义。以民用飞机副翼舱结构为研究对象,基于试飞实测应变数据、金属材料的随机振动S-N曲线和改进声疲劳寿命估算法,提出了一种适用于振动疲劳寿命预计的工程处理方法。通过飞行试验、有限元仿真、数据分析等相结合的方法进行副翼舱结构优化前后的振动疲劳寿命预计。副翼舱结构优化前损伤位置预测寿命最低为59飞行小时,符合实际损伤位置寿命情况。副翼舱结构优化后应力水平明显降低,寿命满足要求。结果表明：基于实测数据的副翼舱结构振动疲劳寿命预计方法有效,可作为振动疲劳寿命预计的工程处理方法。     

基于改进的卷积神经网络的步态识别

为了提高惯性传感器采集到的序列数据中步态识别的准确率,建立了一个激励层改进的卷积神经网络(CNN)模型。针对三轴加速度传感器对运动太过敏感导致步态周期划分不准确的问题,采用加速度传感器与弯曲度传感器组合获取人体运动信息。将CNN模型中激励层的线性整流函数(ReLU)改进为带泄露线性整流函数(Leaky ReLU),以解决遇到卷积输出数据小于0时神经元被抑制的问题,进而达到提高步态识别准确率的目的。实验结果表明激励层优化的CNN模型在行走、上下楼和上下坡五种步态模式下识别率达到了95.79%,与未采用弯曲度传感器的改进CNN模型和未进行激励层改进的CNN模型相比,步态识别率有所提高。