Echo state networks based predictive model of vinyl chloride monomer convention velocity optimized by artificial fish swarm algorithm

Conversion rate in the Polyvinylchloride (PVC) polymerizing process has a certain influence on the molecular weight of PVC, porosity, absorption rate of plasticizer, vinyl chloride monomer (VCM) residue and thermal stability. Therefore, a predictive model based on echo state networks (ESN) method optimized by the artificial fish swarm algorithm (AFSA) is proposed to predict the conversion velocity. Firstly, the hot balancing mechanisms of polymerizer and the influenced factors of convention rate of VCM are analyzed in details. Then the auxiliary variables of the predictive model kernel are selected by using the kernel principal component analysis method for reducing the model dimensionality. Thirdly, the structure parameters of the ESN are optimized by the AFSA to realize the nonlinear mapping between input and output variables of the discussed soft-sensor model. The artificial fish swarm behaviors, such as foraging, swarming, chasing, random, are introduced in details. Finally, simulation results show that the proposed model can significantly enhance the predictive accuracy and robustness of the technical index and satisfy the real-time control requirements of PVC polymerizing production process.     

Toward inference attacks for k-anonymity

Current research still cannot effectively prevent an inference attacker from inferring privacy information for k-anonymous data sets. To solve the issue, we must first study all kinds of aggressive reasoning behaviors and process for the attacker thoroughly. Our work focuses on describing comprehensively the inference attack and analyzing their privacy disclosures for k-anonymous data sets. In this paper, we build up a privacy inference graph based on attack graph theory, which is an extension of attack graph. The privacy inference graph describes comprehensively the inference attack in k-anonymous databases by considering attacker background knowledge and external factors. In the privacy inference graph, we introduce a concept of valid inference path to analyze the privacy disclosures in face of inference attack. According to both above, we design an algorithm to compute the n-valid inference paths. These paths can deduce some privacy information resulting in privacy disclosure. Moreover, we study the optimal privacy strategies to resist inference attack by key attribute sets and valid inference paths in the attack graph. An approximate algorithm is designed to obtain the approximate optimal privacy strategy set. At last, we prove the correctness in theory and analyze the performance of the approximate algorithm and their time complexity.     

HPCS-AM-DAC共聚物的合成及絮凝性能研究

以羟丙基壳聚糖(HPCS)、丙烯酰胺(AM)、丙烯酰氧乙基三甲基氯化铵(DAC)为原料合成三元高分子共聚物(HPCS-AM-DAC)。采用FTIR、1HNMR、XRD、SEM对其结构和形貌进行了表征。考察了反应温度、引发剂硝酸铈铵用量、单体滴加时间及DAC用量对产物阳离子度及特性黏数的影响。结果表明,在水为25 mL、丙烯酰胺为2 g、HPCS为1 g、反应温度70℃、引发剂用量为1.7%(以HPCS质量为基准,下同)、单体滴加时间为35min、DAC为3.5g的条件下,产物的阳离子度和特性黏数均达到较佳值,分别为63.01%和468.81mL/g。采用壳聚糖(CTS)、HPCS、HPCS-AM-DAC及市售阳离子聚丙烯酰胺(CPAM)对高岭土模拟废水进行絮凝实验,考察了絮凝体系pH、不同絮凝产品投加量对浊度去除率的影响。结果表明,在浊度为200NTU的高岭土模拟废水中,HPCS-AM-DAC絮凝的适宜pH为2～6,适宜投加量为2～5 mg/L,在该条件下浊度去除率均在96%以上。     

基于WINCE系统软件开发的内存研究

WINCE系统内存配置较小,嵌入式软件如果出现内存泄露问题,将会导致系统的可用内存不足,甚至出现系统崩溃。为此针对WINCE操作系统内存的管理和应用,通过引入一个在实时更新动态图的过程中出现内存泄露的案例,阐述了关于内存管理和内存应用的重要知识点,包括内存模型和内存分配方式,分析了在该案例中出现内存泄露的原因,提出了与案例中出现的内存泄露相似问题的解决方法,并针对一般情况下如何防止内存泄露作了简单介绍,最后详细阐述了案例中为了优化内存所做的工作,对编程者有很好的指导作用。     

配位插层法制备三聚氰胺-甲醛树脂/Cu2+ -蒙脱石纳米复合材料

采用微波加热溶液交换法分两步将提纯后的天然膨润土转变为Cu2 -膨润土(铜基土),通过三聚氰胺单体与Cu2 -蒙脱石层间Cu2 的配位作用,把三聚氰胺单体引入蒙脱石层间,然后加入甲醛经插层原位聚合制备三聚氰胺-甲醛树脂/Cu2 -蒙脱石纳米复合材料。X-射线衍射结果表明蒙脱石的层间距由1.25 nm增加到1.58 nm,所得产物为三聚氰胺-甲醛树脂/Cu2 -蒙脱石插层型纳米复合材料。     

基于无线传感器网络的安全数据融合技术探究

随着我国信息技术的持续完善和无线传感器网络的不断发展,在无线传感器网络中,安全数据融合技术得到了越来越广泛的应用。本文从对安全数据融合技术进行简析入手,对安全数据融合技术在无线传感器网络中的应用进行了分析。     

一种基于无约束总变分模型的阴影检测方法

阴影检测是进行阴影处理前的重要步骤,总变分模型可以用于影像阴影检测.通过对总变分模型进行改进,提出了一种基于无约束总变分模型的阴影检测方法.经实验及统计分析证明,在合适的迭代条件下,该方法对于单一阴影影像的处理效果理想.     

3-cactus上的连通p-median问题

设G=(V,E)是一个无向连通图,每一条边e和每个顶点v都有一个非负的权重l(e)和w(v);传统的p-median是指在顶点集合中选出p个顶点,使得其它顶点到这p个顶点的赋权距离和最小。该文考虑带有某些约束的这类问题,要求所选出的p个顶点是连通的,也即由这p个顶点所导出的子图是连通的,称为连通p-median问题。该文给出了3-cactus图上的连通p-median问题的一个O(pn)的算法。     

二级水DOM在活性炭及土壤层处理中的迁移转化

为有效控制污水处理厂二级出水在回用水加氯消毒过程中消毒副产物的产生,通过模拟活性炭(GAC)吸附及土壤含水层处理(SAT)实验,研究二级出水经GAC吸附后进行人工地下回灌过程中溶解性有机物(DOM)的迁移及转化规律.利用XAD-8/XAD-4树脂将水样中的溶解性有机物(DOM)分级为疏水性有机酸(HPO-A)、疏水性中性有机物(HPO-N)、过渡亲水性有机酸(TPI-A)、过渡亲水性中性有机物(TPI-N)和亲水性有机物(HPI).HPO-A和HPI为二级水DOM中最主要组分(占到其DOC总含量的75%).GAC能有效吸附二级出水中HPO-A、HPO-N和TPI-A,而对TPI-N和HPI的去除率较低;后续的SAT能有效地去除GAC去除效果不佳的HPI,使DOM的去除率达到70.1%.GAC在有效去除总THMFP的同时(去除率为55.6%),能有效降低HPO-A、TPI-A、TPI-N的三氯甲烷生成活性(STHMFP);后续的SAT处理使系统总THMFP去除率达到67.2%.与单纯的SAT处理相比,GAC+SAT能够有效地降低各组分的STHMFP.     

Stress-strain partitioning analysis of constituent phases in dual phase steel based on the modified law of mixture

A more accurate estimation of stress-strain relationships for martensite and ferrite was developed, and the modified law of mixture was used to investigate the stress-strain partitioning of constituent phases in dual phase (DP) steels with two different martensite volume fractions. The results show that there exist great differences in the stress-strain contribution of martensite and ferrite to DP steel. The stress-strain partitioning coefficient is not constant in the whole strain range, but decreases with...