利用几何遗传方法优化前缘翼根延伸的外形以增强飞行器升力系数和机动性

为了提高所选定飞行器模型的机动性,采用了一种标准遗传算法设计前缘翼根延伸(LEX).同时使用一种由三维低阶板方法结合DATCOM方法半经验公式的改进方法预测复杂外形飞行器(机身 机翼 尾翼)的空气动力载荷和最大升力系数.结果表明,在前缘翼根存在的情况下,升力系数在马赫数为0.4～0.8时提升了20.5%～15.3%,在马赫数为1.2时提升了6.8%,在马赫数为0.2～0.95之间升力系数最大值提升了9.5%～15%.在1～5 km的高度亚音速飞行时,其回转率得到了6.6%～8.0%的提升.     

平面工艺功率型半导体晶体管铝迁移实验

在平面工艺制造的功率型半导体晶体管芯片表面,发现高强度电场条件下存在跨越0.05 mm半绝缘硅带的铝迁移现象,对此开展了一系列实验研究. 通过开帽物理观察与分析、低温测试与烘干验证、迁移物质分析对比,确定了迁移现象中的迁移物质,同时分别取证环境温度、湿度、芯片表面污染物以及器件局部结构与此迁移现象的关联性,以此提出了迁移机理假说,为在不同的诱发条件下对此迁移机理进行确认和量化研究提供指导.      

基于潜在成分的时变系统损伤的概率神经网络分类

提出了一种新的时变系统健康监控的损伤分类方法。将函数级数时变自回归平滑时序模型应用于时变系统的振动信号,以估计TAR／TMA参数和革新方差。这些参数是时间的函数,将它们在以特定的基函数构成的某种函数子空间上展开得到相应的投影系数组。所估计得到的TAR／TMA参数和革新方差可进一步用来计算潜在成分（LCs）,将LCs用于健康评估比原来的参数更具信息。并将LCs联合并归化为数值得到特征集,输入概率神经网络（PNN）进行损伤分类。为了评价该方法,对一个时变系统进行了仿真,以各种不同的质量和刚度减少来模拟不同的损伤类别。算例表明：该方法能够在时变系统的背景下对损伤进行归类。     

使用“均衡记分卡”改善服务质量(英文)

基于“量度什么,便得到什么”的原则而发展起来的“均衡记分卡”可将公司策略清晰地演绎,为每一雇员工作表现指引。除了沿用一般传统财政目标外,“均衡记分卡”提供了一个全面、灵活、有效及均衡的企业表现量度／管理方法。从“顾客角度”、“程序角度”以及“学习角度”所作的度量可能激励企业的财政工作。制定“均衡记分卡”过程可阐明并传递公司的策略于每一雇员。个别工作单位目标及雇员目标亦可结合在一起以改善整体服务质量。     

VHF radio response of the near Earth space during solar activity growth in October, 2003

The analysis of observations of very high frequency radio noise intensity at the middle latitude on a frequency f = 500 MHz from 14th till 26th of October, 2003 is presented. These data are compared with the solar radio bursts in the range of frequencies 1–14 MHz registered by RAD2 receiver of the WAVES device installed on board the WIND spacecraft.     

Order out of Randomness: Self-Organization Processes in Astrophysics

Self-organization is a property of dissipative nonlinear processes that are governed by a global driving force and a local positive feedback mechanism, which creates regular geometric and/or temporal patterns, and decreases the entropy locally, in contrast to random processes. Here we investigate for the first time a comprehensive number of (17) self-organization processes that operate in planetary physics, solar physics, stellar physics, galactic physics, and cosmology. Self-organizing systems create spontaneous “order out of randomness”, during the evolution from an initially disordered system to an ordered quasi-stationary system, mostly by quasi-periodic limit-cycle dynamics, but also by harmonic (mechanical or gyromagnetic) resonances. The global driving force can be due to gravity, electromagnetic forces, mechanical forces (e.g., rotation or differential rotation), thermal pressure, or acceleration of nonthermal particles, while the positive feedback mechanism is often an instability, such as the magneto-rotational (Balbus-Hawley) instability, the convective (Rayleigh-Bénard) instability, turbulence, vortex attraction, magnetic reconnection, plasma condensation, or a loss-cone instability. Physical models of astrophysical self-organization processes require hydrodynamic, magneto-hydrodynamic (MHD), plasma, or N-body simulations. Analytical formulations of self-organizing systems generally involve coupled differential equations with limit-cycle solutions of the Lotka-Volterra or Hopf-bifurcation type.