New results on PWARX model identification based on clustering approach

This paper deals with the problem of piecewise auto regressive systems with exogenous input(PWARX) model identification based on clustering solution. This problem involves both the estimation of the parameters of the affine sub-models and the hyper planes defining the partitions of the state-input regression. The existing identification methods present three main drawbacks which limit its effectiveness. First, most of them may converge to local minima in the case of poor initializations because they are based on the optimization using nonlinear criteria. Second, they use simple and ineffective techniques to remove outliers. Third, most of them assume that the number of sub-models is known a priori. To overcome these drawbacks, we suggest the use of the density-based spatial clustering of applications with noise(DBSCAN) algorithm. The results presented in this paper illustrate the performance of our methods in comparison with the existing approach. An application of the developed approach to an olive oil esterification reactor is also proposed in order to validate the simulation results.     

A minimum variance distortionless response filter based on the bifrequency spectrum for single-channel noise reduction

This paper deals with the problem of single-channel noise reduction in the short-time Fourier transform (STFT) domain. Many algorithms have been developed to solve this important problem, most of which generally assume that the STFT coefficients in different frequency bands are uncorrelated, so the noise reduction is achieved by applying a gain function to the STFT of the noisy speech in each frequency band. However, this assumption is not accurate and the STFT coefficients of speech signals between neighboring frequency bands are correlated in practice due to the use of small lengths of the fast Fourier transform (FFT) and overlap add/save techniques in implementation. This paper formulates the noise reduction problem by taking into account the interband correlation using the so-called bifrequency spectrum. Based on this formulation, a single-channel minimum variance distortionless response (MVDR) filter is derived, which is shown to be able to significantly improve the signal-to-noise ratio (SNR) and meanwhile maintain the desired speech not much distorted. Simulations are presented to justify the claimed merits of the developed MVDR filter.     

机床噪声及降低噪声的途径

分析了机床噪声的起因，并提出了相应的降噪措施。     

Alcohol-induced changes of {beta}-lactoglobulin - retinol-binding stoichiometry

It has been demonstrated using CD that ethanol induces importantsecondary structure changes of ß-lactoglobulin. CDspectra indicate that ß-lactoglobulin secondary structure,which is mainly composed of ß-strands, becomes mostly-helical under the influence of the solvent polarity changes.The midpoint of ß-strand/-helix transition in ß-lactoglobulinis observed at dielectric constant {small tilde}60 (35% ethanol;v/v). According to CD measurements, the ethanol-dependent secondarystructure changes are reversible. The alkylation of lysines-NH₂ in ß-lactoglobulin weakens the central ß-barrelstructure, since the ß-strand/-helix transition midpointof alkylated ß-lactoglobulin is shifted to lower ethanolconcentration (25% ethanol; v/v). ß-Lactoglobulinstructural changes are triggering the dissociation of the ß-lactoglobulin- retinol complex as judged from complete quenching of its fluorescencein ethanol concentration >30% (v/v). However, in 20% ethanol(v/v), ß-lactoglobulin still retains most of its nativesecondary structure as shown by CD and, in this condition, oneß-lactoglobulin molecule binds an additional secondretinol molecule. This suggests that the highly populated speciesobserved around 20% ethanol (v/v) might represent an intermediatestate able to bind two molecules of retinol.     

The role of heat-shock and chaperone proteins in protein folding: possible molecular mechanisms

Recently some heat-shock proteins have been linked to functionsof ‘chaperoning’ protein folding in vivo. Here currentexperimental evidence is reviewed and possible requirementsfor such an activity are discussed. It is proposed that onemode of chaperone action is to actively unfold misfolded orbadly aggregated proteins to a conformation from whkh they couldrefold spontaneously; that improperly folded proteins are recognizedby excessive stretches of solvent-exposed backbone, rather thanby exposed hydrophobic patches; and that the molecular mechanismfor unfolding is either repeated binding and dissociation (‘plucking’)or translocation of the protein backbone through a binding cleft(‘threading’), allowing the threaded chain to refoldspontaneously. The observed hydrolysis of ATP would providethe energy for active unfolding. These hypotheses can be appliedto both monomeric folding and oligomeric assembly and are sufficientlydetailed to be open to directed experimental verification.     

哈尔滨市主要道路交通噪声污染评价

针对哈尔滨市的主要道路交通噪声进行监测,统计并分析整体污染情况、噪声分级状况及空间分布特征。为哈尔滨市今后的道路交通噪声治理工作提供有利的依据,具有较好的实际应用价值。     

基于图像噪声分析的计算机生成图像检测算法

计算机生成图像与自然图像在物理生成机理上的差异性导致其在噪声分布上具有明显的区别,据此提出一种基于图像噪声分析的计算机生成图像检测新方法。首先,用小波隐马尔可夫(MMT)模型对图像噪声进行预处理;接着,基于最大似然估计方法估测图像参考模式噪声;最后,在提取图像模式噪声统计距及其与参考模式噪声相关差值基础上,利用支持向量机(SVM)分类器进行鉴别。实验结果显示,较已有的典型算法,该算法具有更好的检测率。     

广西老堡铅锌矿褶皱形成机制及其控矿规律

老堡铅锌矿床主要赋存在陡山沱组白云岩或老堡组硅质岩中,顺层产出,受地层与褶皱的双重控制。矿区主干褶皱为一复式向斜,由2个次级向斜和1个次级背斜组成。从构造几何学、运动学角度,运用现代测试技术,对矿区的小构造、显微构造和组构进行构造分析后揭示,老堡褶皱构造的形成机制是以弯滑作用为主、兼具弯流作用的纵弯褶皱作用的产物。铅锌矿体主要赋存在褶皱的转折端虚脱部位及两翼滑移量较大的层间滑动破碎带中。     

汽车车内行驶噪声测试的阶次跟踪法

应用PULSE测试分析系统中阶次跟踪法,测试分析某型乘用车车内四个位置的噪声水平随发动机转速变化的关系.揭示了该型汽车在测试工况下,不同的转速对车内噪声的贡献规律.为降低车内行驶噪声和振动响应提供了重要的分析依据和参考.     

局部同质性测度的平滑式图像噪声估计

提出一种基于局部同质性测度的静止图像平滑式加性噪声估计方法。为增强图像中各像元的同质性测度值差异,以柯西分布函数作为核函数,提出一种图像同质性测度的新方法。为提取图像的真实边缘,采用各向异性扩散平滑算法。在去除包含图像真实边缘的子图像的基础上,根据所设定的同质性测度阈值,选取具有较高同质性的子图像,并计算这些子图像的标准方差。最后。将这些各子图像标准方差的中值作为图像噪声的估计值。本文所提出的图像噪声估计算法可自动化实现,无需任何人工参与。试验结果表明,与其它滤波式噪声估计方法比较,本文所提出的方法具有更高的估计精度和更好的鲁棒性。