锻压机械打击力测量误差的加速度补偿

提出了锻压机械打击力测量中存在的问题，介绍了常用的补偿法，并通过实验验证了加速度补偿法是消除锻压机械打击力测量误差的有效途径。     

多声路超声波流量计在引水明渠中的流量测量分析

介绍了多声路超声波流量计在明渠中的流量测量原理,并通过多声路时差式超声波流量计在引水明渠上的实例应用对影响流量测量的误差源进行了具体的分析。     

基于中位数的用户信誉度排名算法

针对推荐系统易受Spammer攻击的影响,从而导致对象的实际得分不准确的问题,提出基于中位数的用户信誉度排名算法。通过衡量用户信誉度调整用户打分权重,根据中位数具有不易受极端打分影响的特性,选取用户打分与对象得分差距的中位数作为降低用户信誉度的标准,不断迭代调整用户信誉度以及最终得分直至收敛。在多个真实数据集上的运行结果证明,相比现有排名算法,该算法具有更合理的信誉度分布和更高的排名结果准确度,通过该算法预处理后的数据集在SVD++上运行可以得到更低的均方根误差。     

涡流法检测铝硅合金显微组织的误差分析

当采用涡流法检测铝硅合金活塞显微组织级别时，合金的含硅量、变质剂的加入量以及温度变化都将影响分级结果的准确性。分析了由以上因素引起的显微组织的分级误差，确定了含硅量不同时的修正因子，变质剂的加入量以及温度变化时的校核方式，并采用数理统计方法分析了测试的可靠性，最后得出该涡流检测的分级准确率可迭99％。     

2000kN板材多点成形机及其调形误差

介绍了2000kN多点成形机成形流程、参数、成形方式及特点。论述了基本体调形的理论误差,并与传统整体模具板料成形作了比较,指出多点成形是一种可实现三维板件经济、快速的柔性成形方法。     

圆柱导体绝对式双参数涡流检测技术的误差评价

针对圆柱导体双参数涡流检测传感器在实际中出现的部分数据误差较大的现象,通过理论推导对检测技术的数学模型进行了误差分析,建立了误差评价公式,绘制了误差分布图.实验验证了评价方法的正确性,根据评价结果找出了圆柱导体绝对式双参数涡流传感器减小误差所应具备的工作条件.     

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。     

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%。