空乘大学生心理健康现状调查与对策分析

心理健康对于学生的成长成才具有至关重要的作用。文章针对飞行学院2009级和2010级空乘专业学生进行了心理健康现状调查,分析了目前学院学生的心理健康整体水平和成长需求,为学院在制订学生心理健康培养对策时提供理论参考。     

厦门机场低空风切变产生的地理成因分析

厦门机场航班飞行遭遇低空风切变的频次较高,危及飞行安全。产生风切变的原因主要有两大类,一是大气运动本身的变化,一是地理、环境因素。本文着重分析因厦门机场地理环境及环境变化导致风切变产生的原因。     

SINS外场系统级标定方法的优化——最佳六位置

静态多位置标定问题,不同位置编排方式会影响辨识精度.针对六位置标定方法,通过建立位置编排与惯组9个误差参数(加速度计零偏、标度因数误差和陀螺零偏)标定精度之间的关系,将惯组位置编排问题转化为Fisher信息矩阵的优化问题,并在A-最优、D-最优和E-最优3个优化指标下,给出了惯组位置编排的最优方案,通过仿真与满足可辨识条件的一组位置编排比较,结果表明最优方案能够提高加速度计零偏和标度因数误差的标定精度.      

基于区域预测和视觉注意计算的快速目标检测

提出了一种结合区域预测与视觉注意模型化计算的快速目标检测方法.通过分析图像近似均匀的3个水平子区域的方向特征图之灰度比率,灰度特征图之信息熵和子区域位置,建立了目标区域预测的判定准则.同时,通过优选特征和优化特征图之权重,改进了视觉注意计算模型.对于一幅待检测图像,根据区域预测的判定准则,实现目标区域的快速预测,并利用改进的视觉注意计算模型对目标区域进行视觉注意计算,实现特定目标的快速精确定位.实验结果表明:针对户外场景中的行人目标,与通过整幅图像的视觉注意计算来实现目标检测的传统方法相比较,该检测方法可使检测时间缩短30%,同时还能使检测准确率提高9%.      

基于S型测试工作量函数的软件可靠性增长模型

软件测试工作量随时间的变化情况对于软件可靠性增长曲线的形状具有显著影响,因此将测试工作量函数(TEF,Testing Effort Function)引入软件可靠性增长模型(SRGM,Software Reliability Growth Model)中以提高软件可靠性评估性能.分析了软件结构特征及学习因素对实际测试过程的综合影响,研究增长速率为先增后减的S型增长趋势的TEF,提出两种S型TEF,即延迟S型TEF与变形S型TEF,并提出考虑延迟S型TEF的SRGM(DSTEF-SRGM)以及变形S型TEF的SRGM(ISTEF-SRGM).在两组真实失效数据集上,进行了这两种SRGM与经典SRGM及其它考虑TEF的SRGM的对比研究.结果表明,ISTEF-SRGM的模型拟合效果最优,同时验证了该模型具有优越的软件可靠性评估性能及模型适应性.      

用于热控涂层性能原位测试的辐射计设计

针对空间环境中热控涂层性能退化的问题,提出一种模拟空间环境中利用测热法实现热控涂层太阳吸收率原位测试的辐射计设计方案.结合模拟空间环境的测试要求,进行辐射计的原理设计与理论研究;对辐射计进行结构热分析,建立辐射计测试过程中各项换热的计算式,从而得到辐射计的瞬态计算模型.恒温测试环境下利用辐射计对SR107热控涂层进行了测试.实验结果表明:辐射计测试的SR107热控涂层太阳吸收率值与该涂层的标定值之间的相对误差在2%以内,测试的不确定度为6.3%,实验结果验证了该测试方法的有效性.      

对象驱动的软件测试性度量

为了使用统一的方式度量各种软件的测试性,降低测试性度量的难度和费用,提出一种对象驱动的软件测试性度量方法. 方法基于一个由测试性度量、易测试特性度量、测试性因素度量及其关系构成的软件测试性度量框架,首先分析度量的对象,确定对象的类型、对象所属软件的类型和测试情况;然后根据软件的类型和测试情况,从度量框架中选取匹配的元素,构造一个专用的软件测试性度量框架;最后根据度量对象的类型,使用专用软件测试性度量框架中的元素计算测试性因素、易测试特性或测试性. 应用表明方法能够得到软件测试性的定量结果,预计测试资源,为软件测试提供帮助.      

高职酒店管理专业培养模式对毕业生就业流失的影响分析

为满足新形势下酒店的人才需要,酒店业对既具备一定的专业知识、又具有较强实践操作能力的高职学生逐渐青睐．前往酒店就业的高职毕业生也逐年增加。与高就业率相背离的是,学生在酒店就业的满意度较低、就业流失率高,究其原因,除了酒店管理模式和学生自身原因之外,高职现有培养模式的不足对学生的职业选择也存在重要影响。     

Universal scaling laws for fully-developed magnetic field turbulence near and far upstream of the Earth’s bow shock

We analyze the multifractal scaling of the modulus of the interplanetary magnetic field near and far upstream of the Earth’s bow shock, measured by Cluster and ACE, respectively, from 1 to 3 February 2002. The maximum order of the structure function is carefully estimated for each time series using two different techniques, to ensure the validity of our high-order statistics. The first technique consists of plotting the integrand of the pth order structure function, and the second technique is a quantitative method which relies on the power-law scaling of the extreme events. We compare the scaling exponents computed from the structure functions of magnetic field differences with the predictions obtained by the She–Lévêque model of intermittency in anisotropic magnetohydrodynamic turbulence. Our results show a good agreement between the model and the observations near and far upstream of the Earth’s bow shock, rendering support for the modelling of universal scaling laws based on the Kolmogorov phenomenology in the presence of sheet-like dissipative structures.     

Periodic Variations of Drag Coefficient for the ANDE Spherical Satellites During its Lifetime

A drag coefficient (C_D) inversion method is introduced to study the variations of the drag coefficient for orbital satellites with spherical geometry. Drag coefficients of the four micro satellites in the Atmospheric Neutral Density Experiment (ANDE) are compiled out with this new method. The Lomb-Scargle Periodgram (LSP) analysis of the four ANDE satellites' C_D series has shown that there are obvious 5, 7, 9, and 27 days' period in those data. Interesting results are found through comparing the LSP analysis with series of the daily solar radio flux at 10.7 cm (F_10.7 index), the Ap index, and the daily averaged solar wind speed at 1AU. All series in the same time interval have an obvious period of about 27 days, which has already been explained as the association with the 27 days' solar rotation. The oscillating periods less than 27 days are found in series of C_D, Ap and solar wind speed at 1AU, e.g., the 5, 7, 9 days period. However, these short periods disappeared in the time series of F_10.7 index. The same periodicities of 5, 7, 9 days in Ap and solar wind are presented at the same time interval during the declining phase of solar cycle 23. While in the ascending phase of solar cycle 24, these short oscillations are not so obvious as that in the declining phase of solar cycle 23. These results provide definite evidence that the C_D variations with period of 5, 7 and 9 days are produced by a combination of space weather effects caused by the solar wind and geomagnetic activity.