基于证据理论的陶瓷智能感观评估

陶瓷感官评估结果的表达形式包括语言词汇、象征性符号和数值描述等，它们具有不确定性和不精确性。本文首先运用模糊逻辑技术对这些评估结果定量化，并基于证据理论提出了一种陶瓷智能感观数据融化方法，得到了基于感观数据的质量分级，并取得了较好的实验结果。     

Effect of montmorillonite on properties of styrene–butadiene–styrene copolymer modified bitumen

Clay/styrene–butadiene–styrene (SBS) modified bitumen composites were prepared by melt blending with different contents of sodium montmorillonite (Na‐MMT) and organophilic montmorillonite (OMMT). The structures of clay/SBS modified bitumen composites were characterized by XRD. The XRD results showed that Na‐MMT/SBS modified bitumen composites may form an intercalated structure, whereas the OMMT/SBS modified bitumen composites may form an exfoliated structure. Effects of MMT on physical properties, dynamic rheological behaviors, and aging properties of SBS modified bitumen were investigated. The addition of Na‐MMT and OMMT increases both the softening point and viscosity of SBS modified bitumens and the clay/SBS modified bitumens exhibited higher complex modulus, lower phase angle. The high‐temperature storage stability can also be improved by clay with a proper amount added. Furthermore, clay/SBS modified bitumen composites showed better resistance to aging than SBS modified bitumen, which was ascribed to barrier of the intercalated or exfoliated structure to oxygen, reducing efficiently the oxidation of bitumen, and the degradation of SBS. POLYM. ENG. SCI., 47:1289–1295, 2007. © 2007 Society of Plastics Engineers     

现代陶艺的特异性

现代陶艺集雕塑语言与绘画语言于一体,加上陶瓷工艺的神奇功效而形成现代陶艺特有的艺术语言,陶艺已成为现代艺术家喜爱的最富特色和最具活力的艺术创作形式之一。本文就现代陶艺的随意性,创造性,工艺性谈谈现代陶艺的特异性。     

SSI:一种IPv6/IPv4多址同源识别模型

IPv6/IPv4共存环境下多址同源识别是共存网络管理与拓扑发现的一个关键问题。现有研究主要集中于子网内部的双栈发现及单一IP协议栈中的别名解析,难以识别远程IPv6/IPv4共存网络中的多址同源。通过分析同源地址间的本质联系,提出一种IPv6/IPv4多址同源识别模型(SSI),该模型综合利用特殊地址格式匹配、TCP时钟指纹比对和上层协议短时致瘫等多种方式来提高同源地址的识别能力。实验结果表明,上述方法均可有效识别IPv6/IPv4多址同源;SSI模型具有较理想的识别率和正确率。     

PE基聚硅氧烷/改性SiO2超疏水薄膜的构筑

使用十八烷基三甲氧基硅烷(OTMS)对纳米SiO2进行表面疏水改性,将得到的改性纳米SiO2(OTMS-SiO2)添加到有机硅树脂(SI)中,然后采用两步法在聚乙烯(PE)薄膜表面固化制备了复合涂层SI/OTMS-SiO2.通过FTIR、1HNMR、29SiNMR、TGA对OTMS-SiO2及复合涂层进行了表征,采用接触角测量仪、SEM、AFM对复合涂层疏水特性和形貌进行了测试和观察,最后对复合涂层的耐磨性和附着力进行了分析.结果表明,SiO2表面成功引入了OTMS,且OTMS-SiO2均匀附着在硅树脂涂层上,增加了表面粗糙度,得到了PE基固化超疏水复合涂层.当OTMS-SiO2添加量为正己烷质量的8％时,制得的复合涂层的水接触角为154°,滚动角为7°,并具有良好的耐磨性,其附着力可达4A等级.     

微生物絮凝剂的研究及发展前景

对微生物絮凝剂的现状与发展趋势做了全面综述,包括合成絮凝剂的微生物种类,微生物絮凝剂的絮凝机理及其影响因素,微生物絮凝剂的提取方法等,并阐述了微生物絮凝剂的性质、特点等.     

Oxidation of Butane to Maleic Anhydride using Vanadium Phosphate Catalysts: Comparison of Operation in Aerobic and Anaerobic Conditions using a Gas-gas Periodic Flow Reactor

The use of a periodic flow reactor is described for the oxidation of butane to maleic anhydride to compare the catalytic performance of vanadium phosphate catalysts operating under aerobic and anaerobic conditions. It is found that for the catalyst prepared via a standard VPO method, operation in the absence of oxygen leads to a very small enhancement in selectivity when butane concentrations in the range 0.9–2.9% are used. Operation in the absence of oxygen leads to very small differences in conversion such that the overall yield is enhanced and this effect is maximised for reactor feeds containing 1.5% butane. However, the enhancement is negligible when the catalyst is operated at high conversion required for commercial operation, indicating that reactors operating with continuous flow with aerobic conditions are preferred. Similar experiments are conducted for a catalyst prepared by the VPD method and, in contrast, this catalyst gives lower butane conversion and maleic anhydride selectivity when operated in the absence of oxygen.     

基于PTS的视频流集群同步显示技术

针对集群大屏拼接显示系统各节点机独立解码、视频流显示不同步的问题,本文分析了集群拼接显示系统的特点,提出了利用PTS信息实现集群内各节点机同步显示视频流的机制,研究了组播接收模块、Ts流拆包模块、视频解码模块和同步控制模块和拼接屏显示模块等视频流同步显示实现技术．研究试验结果证明了基于PTS的视频流集群同步显示技术的有效性．     

使用QTP对Silverlight应用进行自动化测试的研究与实践

Silverlight作为一个跨浏览器、跨平台的插件,将视频、交互性内容,以及其他应用完好的融合在一起,为用户提供了统一而丰富的体验。通过使用QTP把人为驱动的测试行为转换为机器执行的过程,实现对Silverlight应用的自动化测试。本文研究介绍了使用QTP对Silverlight应用进行自动化测试的方法,描述了具体的操作步骤以及解决方法。     

基于BP神经网络的手写数字识别的算法

由于BP神经网络具有并行处理信息、自组织、自学习信息等优点,本文采用了BP神经网络对手写数字识别进行运算,提取笔画密度、长宽比和欧拉数等特征作为训练样本.并用Matlab对其算法进行仿真,并且很准确的识别出来,说明其有非常广泛的前景.