Using the radial basis function neural network to predict ionospheric critical frequency of F2 layer over Wuhan

Neural networks (NNs) have been applied to ionospheric predictions recently. This paper uses radial basis function neural network (RBF-NN) to forecast hourly values of the ionospheric F₂ layer critical frequency(f_oF₂), over Wuhan (30.5N, 114.3E), China. The false nearest neighbor method is used to determine the embedding dimension, and the principal component analysis (PCA) is used to reduce noise and dimension. The whole study is based on a sample of about 26,000 observations of f_oF₂ with 1-h time resolution, derived during the period from January 1981 to December 1983. The performance of RBF-NN is estimated by calculating the normalized root-mean-squared (NRMSE) error, and its results show that short-term predictions of f_oF₂ are improved.     

A high-performance ground-based prototype of horn-type sequential vegetable production facility for life support system in space

Vegetable cultivation plays a crucial role in dietary supplements and psychosocial benefits of the crew during manned space flight. Here we developed a ground-based prototype of horn-type sequential vegetable production facility, named Horn-type Producer (HTP), which was capable of simulating the microgravity effect and the continuous cultivation of leaf–vegetables on root modules. The growth chamber of the facility had a volume of 0.12 m³, characterized by a three-stage space expansion with plant growth. The planting surface of 0.154 m² was comprised of six ring-shaped root modules with a fibrous ion-exchange resin substrate. Root modules were fastened to a central porous tube supplying water, and moved forward with plant growth. The total illuminated crop area of 0.567 m² was provided by a combination of red and white light emitting diodes on the internal surfaces. In tests with a 24-h photoperiod, the productivity of the HTP at 0.3 kW for lettuce achieved 254.3 g eatable biomass per week. Long-term operation of the HTP did not alter vegetable nutrition composition to any great extent. Furthermore, the efficiency of the HTP, based on the Q-criterion, was 7 × 10⁻⁴ g² m⁻³ J⁻¹. These results show that the HTP exhibited high productivity, stable quality, and good efficiency in the process of planting lettuce, indicative of an interesting design for space vegetable production.     

氢氧发动机装配单元制造模式研究

通过对氢氧发动机的流程进行研究分析,从工艺合理性和并行作业等方面对工艺流程进行优化,将串行装配流程改进为并行装配流程,固定各作业子单元的人数需求,合理调配人员使用,缩短装配周期,提高发动机装配效率,使氢氧发动机装配从研制单件生产模式向批生产模式转化,显著提高了发动机装配的交付能力。     

并行组合扩频通信系统变换域干扰抑制技术研究

为提高并行组合扩频通信系统抵抗窄带干扰的能力,研究自适应多门限和DT-FCME两种变换域算法抑制并行组合扩频通信系统中窄带干扰的问题。经仿真验证,两种算法能够对系统中高斯白噪声环境下的多种窄带干扰起到较好的抑制效果。最后对比分析了两种算法抑制不同类型窄带干扰时的优缺点。     

威胁电磁环境适应性试验与评估技术

由电子对抗产生的威胁电磁环境是当今电磁环境日益复杂的根本原因,电子对抗对用频装备的影响同时取决于干扰技术和干扰战术两大因素.以导弹武器的威胁电磁环境适应性为例,重点围绕威胁电磁环境量化表征与逼真构建,抗干扰指标、抗干扰性能试验与评估等方面,对威胁电磁环境适应性试验与评估技术进行全面阐述.     

机翼结构布局优化的并行子空间方法

机翼内部构件的布局优劣在很大程度上影响着机翼结构质量,因此进行布局优化设计尤为重要。采用并行子空间方法求解机翼结构布局优化的问题,将机翼结构布局设计问题分为梁站位优化、桁条优化和厚度优化三个并行的子空间,设计变量在各自的子空间内单独优化;各子空间优化结束后,在系统级中协调三个子空间的设计变量,保持最小质量的子空间的优化变量不变;采用近似一维搜索的方法协调其他子空间的设计变量,然后进行变量迭代直至收敛。结果表明:该方法具有较高的优化效率,能够取得较好的优化结果,具有实际工程应用价值。     

空间稳定型捷联惯导系统静态误差分析

定量分析空间稳定型捷联惯导系统的误差传播特性,以便实现惯导系统对战术技术指标及元部件对自身精度指标的设定要求.首先设计了一种用于地球表面导航的船用空间稳定型捷联惯导系统方案,然后通过求解静基座状态下的该种捷联惯导系统误差方程,分析了陀螺常值漂移以及加速度计零偏对空间稳定型捷联惯导系统的影响.理论分析以及实物试验表明陀螺常值漂移会造成经度误差随时间线性增长,其它导航信息按舒勒频率和地球频率等幅振荡传播.     

小型磁偏转质谱计性能实验研究

自主研发了小型磁偏转质谱计,并对其质量范围、分辨本领、灵敏度和最小可检分压力四个主要性能指标进行了实验测试和比对。结果表明,该质谱计的质量范围为（1~143）amu,相对N₂的分辨本领为1400,灵敏度为4.2×10^-5 A/Pa,最小可检分压力为9.5×10^-7 Pa。该测试和比对结果为磁偏转质谱计进一步的优化设计和性能提高奠定了重要基础。     

APPLICATION OF HOT PRESS SINTERING TECHNIQUE TO EXPLOSIVE CHARGE LINER OF PETROLEUM PERFORATION BULLET

介绍了一种制备石油射孔弹的药形罩的新方法,采用粉末冶金技术,热压烧结工艺制备石油射孔弹的药形罩,并对药形罩的烧结工艺进行了研究。实验结果表明,采用该工艺制备的石油射孔弹药形罩可以满足要求。