Varnish layer hardness of oriental beech (fagus orientalist L.) wood as affected by impregnation and bleaching

The impacts of impregnation and bleaching on the varnish layer hardness of Oriental beech (Fagus orientalist L.) wood were investigated. A number of bleaching combinations {[NaOH−H₂O₂], [NaOH−Ca(OH)₂−H₂O₂], [NaOH−MgSO₄−H₂O₂] [NaHSO₃−H₂C₂O₄], [NaSiO₃−H₂O₂], [KMnO₄+NaHSO₃+H₂O₃]} were applied at 18% concentration for bleaching to both impregnated and unimpregnated specimens of Oriental beech wood. Subsequently, water-based (WB) varnish was coated over the samples and the varnish layer hardness values were determined in accordance with ASTM D 4366-95. All of the chemicals used for bleaching reduced the surface hardness. However, after varnish coating, the hardness of most samples was similar to that of the varnish-coated natural (control) samples.     

基于改进卡方统计的微博特征提取方法

通过对微博文本特征信息的分析与研究,提出一种基于改进卡方统计的微博特征提取方法。扩充微博信息分类特征,在传统的卡方统计量的基础上,引入了频度等因素,改进特征选择方法;在传统的特征项权值计算的基础上,提出了新的改进卡方统计量的方法,改进权重计算效果。对上述方法利用经典KNN和SVM算法进行了测试,实验结果表明该方法提高了微博信息分类的准确率。     

A multivariate study of the correlation between tocopherol content and fatty acid composition in vegetable oils

The main biochemical function of the tocopherols is believed to be the protection of polyunsaturated fatty acids (PUFA) against peroxidation. A critical question that must be asked in reference to this is whether there is a biochemical link between the tocopherol levels and the degree of unsaturation in vegetable oils, the main source of dietary PUFA and vitamin E. We used a mathematical approach in an effort to highlight some facts that might help address this question. Literature data on the relative composition of fatty acids (16:0, 16:1, 18:0, 18:1, 18:2, and 18:3) and the contents of tocopherols (α-, β-, δ-, and γ-tocopherol) in 101 oil samples, including 14 different botanical species, were analyzed by principal-component analysis and linear regression. There was a negative correlation between α- and γ-tocopherols (r=0.633, P<0.05). Results also showed a positive correlation between linoleic acid (18:2) and α-tocopherol (r=0.549, P<0.05) and suggested a positive correlation between linolenic acid (18:3) and γ-tocopherol.     

A review of the current status of small-scale seawater reverse osmosis desalination

The current status of small-scale desalination (produced water capacity 100 m³/day or less) is reviewed to provide an overview of the market segment. The use of energy-recovery devices in this market segment is also reviewed. We find that the Middle East accounts for the largest market share worldwide at present, and reverse osmosis is overwhelmingly dominant among the desalination technologies adopted. Implementation of energy-recovery devices at small scale is rare, which leads to relatively high energy consumption for small-scale seawater reverse osmosis desalination systems.     

全参考图像质量评价综述

图像质量评价是图像处理领域内一项很有意义的研究课题。客观图像质量评价方法可分为全参考评价方法、半参考评价方法和无参考评价方法, 目前全参考评价方法较为成熟, 而半参考和无参考评价方法则处于初级阶段, 远远达不到参考评价方法所能达到的效果。对全参考评价方法进行综述。首先简要地介绍了各种类型的评价方法, 其次详细地介绍了PSNR、SSIM、MSSIM、IFC、VIF、FSIM等几种典型的全参考图像质量评价方法, 然后在LIVE和TID2008数据库上进行实验, 对这几种全参考方法进行对比、分析, 最后探讨图像质量评价研究的发展趋势。     

基于Blowfish和MD5的混合加密方案*

针对Blowfish算法在实际应用中存在的等价密钥、重复初始化等问题,提出Blowfish与MD5算法相结合,将MD5算法的生成值作为密钥的一部分对Blowfish算法进行初始化,使用概率统计方法证明该方案弥补了Blowfish算法的实际应用缺陷。计算结果表明,混合加密方案具有更高的安全性、更快的速度。     

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。     

综合单价风险评估的研究及应用

工程量清单计价模式下,建筑市场的公开竞争促使施工企业把获取项目的精力放在了科学地运用决策分析上来.清单招标一般都采用单价合同,投标人要承担组价的全部风险,而出于种种原因,综合单价中的风险费用一直未得到投标人足够的重视.在全面分解综合单价的基础上,系统地分析了综合单价报价中的风险,构建起综合单价风险分析和评估数学模型,以随机抽样为主要手段,运用蒙特卡罗模拟技术进行风险分析模拟,得到综合单价风险分布概率,其结果有助于投标人对所报单价的决策.综合单价报价风险决策方法的研究对施工企业投标报价风险分析和评估具有积极的意义.     

Speech-stream detection in short-wave channel based on empirical mode decomposition and higher-order statistics

To capture the presence of speech embedded in nonspeech events and background noise in short-wave non-cooperative communication,an algorithm for speech-stream detection in noisy environments is presented based on Empirical Mode Decomposition (EMD) and statistical properties of higher-order cumulants of speech signals.With the EMD,the noise signals can be decomposed into different numbers of IMFs.Then,the fourth-order cumulant (FOC) can be used to extract the desired feature of statistical properties for IMF components.Since the higher-order cumulants are blind for Gaussian signals,the proposed method is especially effective regarding the problem of speech-stream detection,where the speech signal is distorted by Gaussian noise.With the self-adaptive decomposition by EMD,the proposed method can also work well for non-Gaussian noise.The experiments show that the proposed algorithm can suppress different noise types with different SNRs,and the algorithm is robust in real signal tests.