基于无线传感器网络的低功耗目标探测系统设计与实现

基于无线传感器网络的目标探测系统利用磁场、振动、声音等环境参数的变化实现对移动目标的探测。针对无线传感器网络的能量受限问题,从传感器节点硬件选型、节点休眠设计、网络拓扑结构设计和数据传输协议设计等方面出发,进行系统低功耗设计优化。实验结果表明,该探测系统在传感器节点采用容量4 A·h锂电池,采样率10 Hz情况下,平均工作电流仅为3.78 mA,连续工作时长可达33天。     

ZnO纳米棒阵列/QCM超疏水空间污染气敏传感器性能研究

空间环境污染监测中,石英晶体微天平（QCM）传感器可通过增加比表面积增强对有机污染分子的吸附能力,通过表面超疏水化减小水分子的影响,从而提高传感器的探测精度。文章采用水热法在QCM表面制备 ZnO纳米棒阵列膜,并对其形貌和物化性能进行实验测试。研究结果表明：ZnO纳米棒的顶端呈六边形,属于六方纤锌矿结构;ZnO纳米棒沿(002)晶面择优生长,具有较低的表面自由能;纳米棒之间存在空隙,表面接触角可达150°,表现出超疏水性能;ZnO纳米棒阵列增加了有机分子的吸附位点,使石英晶振吸附有机分子的能力更强;同时,ZnO纳米棒阵列具有一定的光催化性能,140 min内光催化降解罗丹明B的效率约为35.5%。以上研究工作可为空间环境有机分子污染监测提供技术参考。     

基于干扰距离控制的直升机桨-涡干扰噪声降噪方法

提出了一种适用于直升机旋翼桨-涡干扰距离计算的方法.针对桨-涡干扰距离计算中必需的旋翼桨盘入流及桨盘倾角,又分别建立了旋翼耦合N-S(Navier-Stokes)/自由尾迹模型和桨盘配平模型进行求解,其特点是兼顾计算精度和计算效率;并从悬停、前飞两方面验证了方法的有效性.应用所建立的桨-涡干扰距离计算方法,着重分析了直...     

Coronal mass ejection detection using wavelets,curvelets and ridgelets: Applications for space weather monitoring

Coronal mass ejections (CMEs) are large-scale eruptions of plasma and magnetic field that can produce adverse space weather at Earth and other locations in the Heliosphere. Due to the intrinsic multiscale nature of features in coronagraph images, wavelet and multiscale image processing techniques are well suited to enhancing the visibility of CMEs and suppressing noise. However, wavelets are better suited to identifying point-like features, such as noise or background stars, than to enhancing the visibility of the curved form of a typical CME front. Higher order multiscale techniques, such as ridgelets and curvelets, were therefore explored to characterise the morphology (width, curvature) and kinematics (position, velocity, acceleration) of CMEs. Curvelets in particular were found to be well suited to characterising CME properties in a self-consistent manner. Curvelets are thus likely to be of benefit to autonomous monitoring of CME properties for space weather applications.     

直流电机网络控制系统仿真

对直流电机网络闭环控制系统进行仿真分析,根据电机网络闭环控制系统原理建立仿真模型。对具有数据丢包的直流电机网络伺服控制系统输出响应特性进行仿真,比较系统分别采用PI控制及增益,可调PI控制方式时的输出特性。结果表明,相比常规PI控制增益可调PI控制方法在网络环境下具有更好的控制特性。该研究为网络伺服控制技术提供可靠的参考依据。     

Contamination of short GRBs by giant magnetar flares: Significance of downward revision in distance to SGR 1806–20

We highlight how the downward revision in the distance to the star cluster associated with SGR 1806–20 by Bibby et al. (2008) reconciles the apparent low contamination of BATSE short GRBs by intense flares from extragalactic magnetars without recourse to modifying the frequency of one such flare per 30 years per Milky Way galaxy. We also discuss the variety in progenitor initial masses of magnetars based upon cluster ages, ranging from ∼50 M_⊙ for SGR 1806–20 and AXP CXOU J164710.2–455216 in Westerlund 1 to ∼17 M_⊙ for SGR 1900+14 according to Davies et al. (2009) and presumably also 1E 1841–045 if it originated from one of the massive RSG clusters #2 or #3.     

A regional tropospheric model for airborne GPS applications

A regional tropospheric model can be constructed using surveys from GPS ground networks. Using this model the tropospheric delays of a kinematic station within the region can be interpolated. However, such a model is generally not suitable for an airborne platform high above the ground networks. In this paper, a method of constructing a regional tropospheric model for airborne GPS applications is described. First, the kinematic station in the air is projected onto the ground. Then the tropospheric delays at projected point are interpolated from those of the ground networks. Finally, the tropospheric delays at projected point are extended upward to the airborne platform using pressure and temperature gradients and humidity exponential function. For validation of this method, the data of airborne campaign carried out by BKG in cooperation with GFZ and BGR 2008 in the northern Alps are used. The results show that GPS kinematic positioning precision in height component can be improved using this method.     

基于人工神经网络的停机坪安全预警研究

停机坪是机场的重要组成部分,停机坪安全是机场安全关注的重点。影响停机坪安全作业的要素有很多,通过对这些要素进行监控和预警,可以减少停机坪的安全隐患,保证机场正常运行。根据济南遥墙机场的主要数据,运用因子分析法对影响停机坪安全的主要因素进行分类,提取公共因子。并运用人工神经网络（ANN）方法,对这些公共因子进行神经网络训练和预测分析,最终得到遥墙机场停机坪的安全情况。     

Genetic differentiation induced by spaceflight treatment of Cistanche deserticola and identification of inter-simple sequence repeat markers associated with its medicinal constituent contents

The dried, fleshy stems of Cistanche deserticola (Orobanchaceae) are popular tonics in Traditional Chinese Medicine (TCM) to treat the inability of kidney in expelling extra fluid in the body, causing fluid retention, and reform reproductive system. However, the wild plants of C. deserticola have become endangered due to habitat downsizing and over-harvesting for its medicinal usages. The present research was carried out for the following purposes: (1) promoting the space-breeding research; (2) providing molecular evidence for agricultural selective breeding; and (3) protecting this endangered herbal medicine and conserving its genetic resources.