T-Minicore嵌入式时间可预测操作系统的设计与实现

目前学术界对时间可预测性尚无统一定义,而时间可预测系统研究也主要集中在体系结构层和编程语言层。根据目前认可度较高的时间可预测性定义,提出对时间可预测性系统进行粒度划分,并基于执行流服务体操作系统模型提出满足LET模型的服务粒度时间可预测操作系统T-Minicore。之后通过理论分析证明了改进的通信方式具有时间可预测性,最后通过实验证明运行在该操作系统上的应用具有时间可预测性特性。     

基于GPS校准的皮卫星高精度时间系统方案

许多实际应用任务对皮卫星星上时间系统有较高的精度要求,传统采用实时时钟芯片（RTC）的时间系统方案难以满足需求,基于GPS的皮卫星星上时间系统应运而生。受能源限制,皮卫星携带的GPS接收机一般采用间歇性开机方式工作。本文设计实现了一种基于GPS校准的星上时间系统方案,提出了分级校正算法,并对算法中的参数进行了优化,实验表明,每天GPS接收机仅需开机1024 s,即可保证优于1 ms/d的星上时间精度。整个方案实现简单,且已应用于浙江大学研制的ZDPS-2皮卫星,满足了任务载荷5 ms时间精度的要求。     

石市水文站流量测次精简分析

本文通过对石市水文站实测流量次数和施测时机的精简分析,达到在满足流量测验和推算径流量精度原则下,科学合理地减少流量测次,优化测验方式方法,从而达到提高测报工作效率的目的.     

Comparing interpolation techniques for monthly rainfall mapping using multiple evaluation criteria and auxiliary data sources: A case study of Sri Lanka

Interpolating climatic variables such as rainfall is challenging due to the highly variable nature of meteorological processes, the effects of terrain and geography, and the difficulty in establishing a representative network of stations. While interpolation models are being adapted to include these effects, often the rainfall data contain significant gaps in coverage. In this paper, we evaluated rainfall data from an agro-ecological monitoring network for producing maps of total monthly rainfall in Sri Lanka. We compared four spatial interpolation techniques: inverse distance weighting, thin-plate splines, ordinary kriging, and Bayesian kriging. Error metrics were used to validate interpolations against independent data. Satellite data were used to assess the spatial pattern of rainfall. Results indicated that Bayesian kriging and splines performed best in low and high rainfall, respectively. Rainfall maps generated from the agro-ecological network were found to have accuracies consistent with previous studies in Sri Lanka.     

Error quantification of the normalised right graph symbol for an errors-in-variables system

This paper proposes a novel method to quantify the error of a nominal normalized right graph symbol (NRGS) for an errors-in-variables (EIV) system corrupted with bounded noise. Following an identification framework for estimation of a perturbation model set, a worst-case v-gap error bound for the estimated nominal NRGS can be first determined from \textit{a priori} and \textit{a posteriori} information on the underlying EIV system. Then, an NRGS perturbation model set can be derived from a close relation between the v-gap metric of two models and ${\rm H}_\infty$-norm of their NRGSs' difference. The obtained NRGS perturbation model set paves the way for robust controller design using an ${\rm H}_\infty$ loop-shaping method because it is a standard form of the well-known NCF (normalized coprime factor) perturbation model set. Finally, a numerical simulation is used to demonstrate the effectiveness of the proposed identification method.     

基于GMM与改进MCE训练的说话人识别研究

在应用最小分类错误（MCE）准则对识别说话人的高斯混合模型（GMM）训练中,采用一个权重函数来确定说话人模型参数调整量的权值,使得比较近的竞争说话人模型的权值大,比较远的竞争说话人模型的权值小。并采用梯度概率递减算法来实现损失函数的最小化,有效提高了说话人识别的速度和精度。     

固定脉宽频率的自动化测试系统研究

论文的目的是实现电压频率转换电路的自动化测试。介绍了测频方法的原理和与计数法的比较,测试系统的软硬件组成和实现方法,并对实现的结果进行了说明。     

分层特征计算和错误控制的层次分类方法

中文新闻信息分类标准中,类别数量大。在将其应用于新闻分类时,会出现训练模型大、训练时间长,尤其是当部分类别改变时需要全部重新训练等问题。由于分类标准中类别之间存在层次关系,因此层次分类方法可以作为解决方案。研究层次化的中文新闻分类方法,并从以下两方面改善层次化分类方法的效果:1)分层的新闻特征计算,解决了层次分类中新闻在分类类别下的特征向量的不同表示的问题;2)错误控制,解决了在上一层分类错误的情况下新闻不会分到正确的类别上的情况。实验结果表明,层次分类方法的效果比平面分类的准确度提高了约4%,进行多次特征权重计算的层次分类方法比普通的层次分类的准确度提高了约3%,同时进行错误控制的分类效果比普通层次的分类效果提高了大概3%。     

用JAVA实现HELLO WORLD入门和常见错误分析

本文论述了JAVA语言及编译过程,并且对其中的常见错误进行了详尽分析。     

篮球比赛记时记分器设计

以P89V51RB2单片机为核心结合ZLG7289B外围显示管理芯片,使用LED点阵和七段数码管共同进行显示,完成了记时与记分的功能;该装置可以显示当前节次,比赛剩余时间,双方比分,并能够根据实际情况对比赛的时间及分数进行修改。