一种应用于超小型无人机的新型定高传感器

使用美国ICSENSOR公司的压阻硅式绝压传感器，对静压进行测量，并设计出适合超小型无人机使用的新型定高传感器，这种定高传感器具有灵敏度高，重量轻，单电源供电，板式结构。可靠性高，重复性好的特点，填补了应用于超小型无人机的定高传感器产品的空白。     

Almost instant time inference for hybrid partially dynamic Bayesian networks

A Bayesian network (BN) is a compact representation for probabilistic models and inference. They have been used successfully for many military and civilian applications. It is well known that, in general, the inference algorithms to compute the exact a posterior probability of a target node given observed evidence are either computationally infeasible for dense networks or impossible for general hybrid networks. In those cases, one either computes the approximate results using stochastic simulation methods or approximates the model using discretization or a Gaussian mixture model before applying an exact inference algorithm. This paper combines the concept of simulation and model approximation to propose an efficient algorithm for those cases. The main contribution here is a unified treatment of arbitrary (nonlinear non-Gaussian) hybrid (discrete and continuous) BN inference having both computation and accuracy scalability. The key idea is to precompile the high-dimensional hybrid distribution using a hypercube representation and apply it for both static and dynamic BN inference. Since the inference process essentially becomes a combination of table look-up and some simple operations, the method is shown to be extremely efficient. It can also he scaled to achieve any desirable accuracy given sufficient preprocessing time and memory for the cases where exact inference is not possible     

Performance evaluation for MAP state estimate fusion

This paper presents a quantitative performance evaluation method for the maximum a posteriori (MAP) state estimate fusion algorithm. Under ideal conditions where data association is assumed to be perfect, it has been shown that the MAP or best linear unbiased estimate (BLUE) fusion formula provides the best linear minimum mean squared estimate (LMMSE) given local estimates under the linear Gaussian assumption for a static system. However, for a dynamic system where fusion is recursively performed by the fusion center on local estimates generated from local measurements, it is not obvious how the MAP algorithm will perform. In the past, several performance evaluation methods have been proposed for various fusion algorithms, including simple convex combination, cross-covariance combination, information matrix, and MAP fusion. However, not much has been done to quantify the steady state behavior of these fusion methods for a dynamic system. The goal of this work is to present analytical fusion performance results for MAP state estimate fusion without extensive Monte Carlo simulations, using an approach developed for steady state performance evaluation for track fusion. Two different communication strategies are considered: fusion with and without feedback to the sensors. Analytic curves for the steady state performance of the fusion algorithm for various communication patterns are presented under different operating conditions.     

冕环中扭转Alfvén波和快波的耦合共振

推广完备正交函数系(OFSE)展开方法,应用它研究冕环中无耗散扭转Alfven波和快波耦合的时变过程.采用这种方法,从数学上描述了总体波模的固有角频率,从理论和数值计算结果两方面分析了Alfven波和快波耦合时冕环中磁力线Alfven波固有角频率.采用这种方法,分析了耦合驱动项和Alfven波共振的关系.计算结果给出了耦合共振出现位置Alfven波和快波的波幅特征,发现如果足点驱动角频率不等于冕环总体波模的固有角频率,在耦合共振位置当扭转Alfven波幅出现δ断面时,快波振幅沿径向梯度很大,有时近似为一个间断,非常有利于快波耗散;如果足点驱动角频率等于总有体波模的固有角频率,Alfvn波振幅出现δ断面时在径向出现丰富的小尺度结构,共振位置近似为一个间断,非常有利于Alfven波耗散.     

1/spl phi/ 3W grid-connection PV power inverter with partial active power filter

This paper presents a single-phase three-wire (1/spl phi/ 3W) grid-connection photovoltaic (PV) power inverter with a of partial active power filter (PAPF) feature, which can not only deal with PV power but filter current harmonics and improve power factor. Once the processed power exceeds the switch ratings, the inverter can reduce its output reactive power and harmonic power, while still supplying the maximum real power generated by the PV arrays. In the derivation of control laws, a limit circle is defined to confine the output power of the inverter. To determine the power that the inverter can process, the instantaneous reactive power of a 1/spl phi/ 3W system is defined and used to calculate reactive power, which can avoid complex detections of phase angle and magnitude of the fundamental component of a nonlinear load current. Simulation results and experimental measurements have verified the proposed algorithm and the feasibility of the inverter.     

开放式飞行任务规划方法

本文给出了一种基于分布式黑板结构的开放式飞行任务规划方法，简要叙述了飞行器飞行任务规划的概念和其独特要求，并对飞行任务规划的数据预处理、知识表达、规划方法作了深入的探讨。最后介绍了分布式黑板的结构和运行方式。     

"微机原理及应用"课程教改浅谈

论文阐述了如何在“微机原理及应用”课程教学中，增强学生主体意识、激发学生创造思维、提高学生的动手实践能力。通过改进多媒体教学方式，进行网络教学来提高教学效果。     

定应变对丁羟推进剂老化作用初探

测试和分析了三个贮存温度、四种老化应变（定应变）、贮存１７１ｄ的单向拉伸性能、永久变形及总应变等数据，结果表明：老化应变对贮存性能影响显著。温度对化学老化和定应变产生的老化作用的影响作用不同，高温下，化学老化占主导地位，较低温度一测定应变产生的老化作用突出。受就变的推进剂存在一个最佳的贮存温度，约在３０－５０℃之间，在此附近斯民经历的化学老化和定变变产生化作用综合影响最小。分析不同应变条件下的永久     

空间相机中与大口径透镜有关的结构设计分析

某空间相机镜头在光学设计时，因透过率、吸收率等原因，为了满足光学系统要求，经过各方面平衡后，其中有一片透镜比正常径厚比设计的偏薄些。在镜头总体结构设计时，单独对该镜片及与之相配的结构件进行了有限元分析和实验检测，发现不同的结构形式对镜片面形影响不同。为了解决这一问题，在实验中进行了探讨，以保证整个相机系统满足空间相机的实用要求。     

基于神经网络的电机智能保护器研究

介绍了一种电机智能保护装置系统，分析了对电动机进行各类保护的原理，并且针对过载保护．提出一种基于人工神经网络的电动机长期过载运行温升预测的算法，将这种算法应用于实际的保护中．有效地弥补了不能用数学模型精确描述电机运行中发热和散热过程的缺陷。实验证明，在样本足够多的情况下，这种方法是切实可行的。