二维物体相交检验的线性四叉树方法

在物体的平面布局问题中，判别两个物体是否相交是一个难点，以往的方法数据结构不统一，计算量大，算法复杂，本文首先讨论了二值图象的线性四叉树的表示及其有关术语和性质，然后在此基础上首次提出了二维物体相交检验的线性四叉树方法及其实现的算法，最后进行了算法的时空分析，与以往的方法相经，本文所提方法具有数据结构统一，算法简单，时空效率高等优点。     

对数正态分布下基于截断数据的统计分析

加速寿命试验是在短时间内获得高可靠产品的失效数据的一种有效办法,因而得到普遍应用。但在低应力下,要在短时间内得到失效数据较为困难,常常进行到一段时间被迫停止,因而得到的是截断数据。本文考虑在有截断数据情形下,对数正态分布未知参数的估计。具体地讲,试验一共有k个加速应力S_1,S_2,…,S_k,有R个产品进行试验,在应力S_i下有n_i个产品。进行加速寿命试验,但是我们得到的不全是寿命失效数据y_j~i,i=1,2,…,k,j=1,2,…,n_i,n_1+n_2+…+n_i=n,而是Z_j~i=min(y_j~i,τ_j~i是预先给定的截断时间,记δ_j~i=I(y_j~i≤τ_j~i),则我们只能观察到(Z_j~i,δ_j~i),i=1,2,…,k,j=1,…,n_i。本文给出了用(Z_j~i,δ_j~i)来估计未知参数的一种方法,证明了这种参数估计的存在性,无偏性及相合性。     

应变天平多元校中几种数据处理方法的比较

风洞天平校准常用单元校法及多元校法。为提高天平校准公式的准度，试用复合法进行天平核准的数据处理。复合法就是在多元校数据处理时使用单元校得到的主体项系数或主体项系数和一次干扰项系数来拟合天平的校准公式。本文试比较几种数据处理方法的效果。     

一种简便易行的数据采集、处理系统

本文主要介绍以 VENUS Ⅱ(或紫金Ⅱ)微机和 AI13 A/D 转换器组成的数据采集、处理系统及软件的开发。该系统有较好的性能价格比,准备周期短。所开发的软件弥补了低档微机的某些不足,使之在风洞实验、航空发动机试车台和发动机进气道的实验中,得到了很好的应用。     

1553B总线接口单元构成的研究

分析了超大规模集成电路(VLSI)专用芯片COM1553 B的功能和接口信号,并论述用COM1553 B设计总线接口单元(BIU)的方法。给出结构框图和直接存储器存取(DMA)方式交换信息的设计思想。按此方法设计的BIU,具有通用性好、可靠性高和良好的软件接口的特点。     

基于高级在轨系统的测控数传一体化方案

针对测控与数据传输信道一体化的需求,采用AOS(Advanced Orbiting System,高级在轨系统)空间链路层的等时业务,设计了一种测控数传信道一体化方案,可在上下行信道采用非相干信息帧同时传输测量信息及高速载荷数据.该方案设计了2种工作模式,模式一在上下行信道同时使用AOS传输帧,双向数据传输速率最高3 Mbit/s,测距精度优于2 m;模式二上行信道使用遥控扩频帧,可进行多站测距,抗多址干扰能力不低于15 dB,抗单频干扰能力不低于23 dB,下行信道使用AOS传输帧,最高数据传输速率3 Mbit/s,测距精度优于1 m.     

Integrated drought monitoring index: A tool to monitor agricultural drought by using time-series datasets of space-based earth observation satellites

In this study, integrated drought monitoring index (IDMI) was proposed as a tool to assess and monitor the spatio-temporal dynamics of agricultural drought during the northeast monsoon season for the period from 2000 to 2016 in Tamil Nadu state, south-eastern part of Indian peninsula. The IDMI is characterized as the principal component of precipitation condition index (PCI), soil moisture condition index (SMCI), temperature condition index (TCI), and vegetation condition index (VCI) derived from time-series satellite observations of climate hazards group infra-red precipitation with stations (CHIRPS), European space agency climate change initiative (ESA-CCI) and moderate resolution imaging spectroradiometer (MODIS). The study shows that in the year 2016, about 44.4 and 17.8% of Tamil Nadu state was under extreme and severe drought conditions, respectively. Sensitivity analysis of the study shows that PCI is the most influential parameter to IDMI, followed by VCI and TCI. The validation of IDMI with 3-month standardized precipitation index (SPI) by using Pearson correlation test shows a strong positive correlation between IDMI and 3-month SPI with correlation coefficient (r) value of 0.73 and 0.77 for the wet (2005) and dry year (2016), respectively. The study clearly demonstrates the potential of IDMI derived from time-series datasets of earth observation satellites as a tool in assessment and monitoring of spatio-temporal dynamics of agricultural drought. The proposed IDMI could be effectively used as a reliable tool to monitor agricultural drought and develop its mitigation strategies to minimise the adverse effects of drought on agriculture, water resources, and livelihoods of the people.     

基于试飞数据的涡轴发动机性能建模技术

为了实现军用涡轴发动机在装机状态下的虚拟预测试飞，通过罚函数法求解超定非线性方程组的最小二乘解，并采用回归分析对部件特性耦合因子进行曲线拟合，优化基准稳态模型，构建了某型涡轴发动机稳态性能计算模型；在此基础上，应用发动机加减速试飞数据，综合考虑部件容腔效应、转动部件的转子动力学和高温部件的传热效应，开发了涡轴发动机部件级过渡态性能计算模型。采用该模型对包线范围内不同工况的发动机稳态和过渡态工作过程进行了仿真预测，结果表明：与真实装机试验结果相比，发动机各工作参数的稳态预测精度在4.2%以内，过渡态预测精度在9.2%以内，满足工程精度要求。该模型能够满足虚拟预测试飞的技术需求，对涡轴发动机的设计、试飞和使用具有重要作用。     

A study of forest vegetation dynamics in the south of the Krasnoyarskii Krai in spring

Remote sensing applications have greatly enhanced ability to monitor and manage in the areas of forestry. Accurate measurements of regional and global scale vegetation dynamics (phenology) are required to improve models and understanding of inter-annual variability in terrestrial ecosystem carbon exchange and climate–biosphere interactions. Study of vegetation phenology is required for understanding of variability in ecosystem. In this paper, monitoring of vegetation dynamics using time series of satellite data is presented. Vegetation variability (vegetation rate) in different topoclimatic areas is investigated. Original software using IDL interactive language for processing of satellite long-term data series was developed. To investigate growth dynamics vegetation rate inferred from remote sensing was used. All estimations based on annual time series of Moderate Resolution Imaging Spectroradiometer (MODIS) imagery. Vegetation rate for Enhanced Vegetation Index (EVI) and Normalized Difference Vegetation Index (NDVI) was calculated using MODIS data. The time series covers spring seasons of each of 9 years, from 2000 to 2008. Comparison of EVI and NDVI derived growth rates has shown that NDVI derived rates reveal spatial structure better. Using long-term data of vegetation rates variance was estimated that helps to reveal areas with anomalous growth rate. Such estimation shows sensitivity degree of different areas to different topoclimatic conditions. Woods of heights depend on spatial topoclimatic variability unlike woods of lowlands. Principal components analysis shows vegetation with different rate conditions. Also it reveals vegetation of same type in areas with different conditions. It was demonstrated that using of methods for estimating the dynamic state of vegetation based on remote sensing data enables successful monitoring of vegetation phenology.     

Stark broadening data for spectral lines of rare-earth elements: Nb III

The electron-impact widths for 15 doubly charged Nb ion lines have been theoretically determined by using the modified semiempirical method. Using the obtained results, we considered the influence of the electron-impact mechanism on line shapes in spectra of chemically peculiar stars and white dwarfs.