An experimental investigation of mixing of carbon nanotube/polymer composite in a batch-type screw mixer

We develop a miniaturized batch-type screw mixer (BSM) for uniform mixing of polymer resin and nanoparticles, based on the stretching of material elements. This stretching is induced by the combination of recirculating cross-sectional flows in deep channels of the screw and high shear stress developed at flight regions. The BSM is used to produce a polymer nano-composite composed of multi-walled carbon nanotubes and polydimethylsiloxane resin. The mixing performance of the BSM is characterized quantitatively by estimating two different types of mixing efficiencies (i.e., dispersive mixing and distributive mixing) via transmitted light microscope images. The developed BSM highly improves the mixing performance rather than that of a conventional ultrasonic mixing device.     

An adaptive genetic algorithm for the time dependent inventory routing problem

In this paper we propose an adaptive genetic algorithm that produces good quality solutions to the time dependent inventory routing problem (TDIRP) in which inventory control and time dependent vehicle routing decisions for a set of retailers are made simultaneously over a specific planning horizon. This work is motivated by the effect of dynamic traffic conditions in an urban context and the resulting inventory and transportation costs. We provide a mixed integer programming formulation for TDIRP. Since finding the optimal solutions for TDIRP is a NP-hard problem, an adaptive genetic algorithm is applied. We develop new genetic representation and design suitable crossover and mutation operators for the improvement phase. We use adaptive genetic operator proposed by Yun and Gen (Fuzzy Optim Decis Mak 2(2):161–175, 2003) for the automatic setting of the genetic parameter values. The comparison of results shows the significance of the designed AGA and demonstrates the capability of reaching solutions within 0.5 % of the optimum on sets of test problems.     

3-甾酮-△^-脱氢酶的融合表达及纯化

3-甾酮-△^1-脱氢酶是甾体母核降解的关键酶。能催化3-甾酮化合物在C1.2位处脱氢，提高原有底物的生物活性。利用表达载体pET-30a，实现了简单节杆菌3-甾酮-△^-脱氢酶在大肠杆菌BL21（DE3）中的高效表达。利用SDS-PAGE分别对超声破碎后的上清和沉淀进行分析．并用分光先度法检测酶的活力。结果表明，表达出的蛋白主要以无活性的包涵体形式存在。利用Ni离子螯合层析的方法纯化融合蛋白，复性后的酶活比简单节杆菌提高了近10倍。     

2-羟基-3-氰甲基-5-甲基苯乙酮的合成

探索黄酮醋酸类化合物中间体的合成方法。通过酰基化、Fries重排、氯甲基化和氰化合成2 -羟基 - 3-氰甲基 - 5 -甲基苯乙酮 ,获得了满意的收率 ( 88.5 % )。采用新方法合成了鲜见文献报道的新化合物 2 -羟基 - 3-氰甲基 - 5 -甲基苯乙酮。该方法具有反应时间短、操作简便、收率好等优点。     

Synthesis,characterization, and thermal properties of phosphorus‐containing,wholly aromatic thermotropic copolyesters

A series of phosphorus‐containing, wholly aromatic thermotropic copolyesters from acetylated 2‐(6‐oxide‐6H‐dibenz〈c,e〉〈1,2〉oxa phosphorin‐6‐yl)‐1,4‐dihydroxy phenylene, p‐acetoxybenzoic acid, terephthalic acid, and isophthalic acid were prepared by melting polycondensation. The structure and basic properties of the polymers, such as the glass‐transition temperature (T_g), melting temperature (T_m), thermal stability, crystallinity, and liquid crystallinity, were investigated with Fourier transform infrared, elemental analysis, differential scanning calorimetry (DSC), thermogravimetric analysis, wide‐angle X‐ray diffraction, and hot‐stage polarizing optical microscopy. The copolyesters had relatively high T_g values ranging from 183 to 192°C. The T_m values obtained from DSC curves for samples P‐20 and P‐25 were 290 and 287°C, respectively (where the number in the sample name indicates the molar fraction of the phosphorus‐containing monomer in the reactants). The initial flow temperatures of other samples observed with hot‐stage polarizing microscopy were 271–290°C. The 5% degradation temperatures in nitrogen ranged from 431 to 462°C, and the char yields at 640°C were 41–52%. All the copolyesters, except P‐40, were thermotropic and nematic. © 2002 Wiley Periodicals, Inc. J Appl Polym Sci 86: 1278–1284, 2002     

基于MTPM和DPM的多无人机协同广域目标搜索滚动时域决策

传统的协同搜索决策方法在目标引导和机间协同方面存在不足. 研究建立了基于分布概率预测的目标概率图（Target probability map,TPM）初始化方法和基于贝叶斯准则的目标概率图动态更新方法,形成了修正目标概率图（Modified TPM,MTPM）及其运算机理.考虑对任务子区域进行可控回访,定义了数字信息素图（Digital pheromone map,DPM）,建立了数字信息素图使用方法及更新机理.设计了基于MTPM和DPM的寻优指标,建立了基于滚动时域控制的协同搜索决策方法（MTPM-DPM-RHC method,MDR）.仿真表明: 1） MTPM能有效降低对目标的虚警率和漏检率;2） DPM能有效实现对任务区域可控回访;3） MDR方法的遍历能力、重访能力和目标搜索效率均优于已有方法.     

脱钾树脂在乙二醇装置中的应用研究

本文主要介绍了"争光"牌CD650在乙二醇装置中的脱钾应用试验情况,从运行出水电导率、pH、UV值等指标看,试验稳定性好,说明争光牌CD650完全可应用在乙二醇装置中代替进口树脂对冷凝水进行脱钾处理,从而能达到冷凝水回收利用和节约水资源的目的.     

沸石滤池的净水作用

利用沸石的过滤吸附作用与石英砂进行对比试验 ,试验表明 ,粒径为 0 .8～ 1 .2mm的天然沸石对水中浊度、有机物、苯酚及氨氮的去除效果均好于同粒径石英砂 ,且水头损失小 ,运行周期长 ,是一种经济可行的水处理滤料。     

声学模型区分性训练中的动态加权数据选取方法

提出了一种基于动态加权的数据选取方法, 并应用到连续语音识别的声学模型区分性训练中. 该方法联合后验概率和音素准确率选取数据, 首先, 采用后验概率的Beam算法裁剪词图, 在此基础上依据候选词所在候选路径的错误率, 基于后验概率动态的赋予候选词不同的权值; 其次, 通过统计音素对之间的混淆程度, 给易混淆音素对动态地加以不同的惩罚权重, 计算音素准确率; 最后, 在估计得到弧段期望准确率分布的基础上, 采用高斯函数形式对所有竞争弧段的期望音素准确率软加权.实验结果表明, 与最小音素错误准则相比, 该动态加权方法识别准确率提高了0.61%, 可有效减少训练时间.     

一种基于GAS模型的k-Truss分解算法

在大规模网络中发现稠密子图具有极其广泛的应用,如社区发现、垃圾邮件检测等。为了在大规模网络数据中快速、有效地发现稠密子图,本文提出一种基于GAS (Gather-Apply-Scatter)编程模型的分布式k-Truss算法—GASTruss。该算法采用GAS的模式完成数据同步和算法迭代,有效的克服了传统并行算法重复性计算及不能有效处理依赖关系大的数据等问题。本实验选择在GraphLab平台上进行,结果表明：与串行k-Truss算法以及基于MapReduce的GPTruss算法性能相比,GASTruss算法对数据规模具有良好的拓展性,在保持算法效果的同时能有效降低时间复杂度。