Preparation,characterization, and adsorption properties for metal ions of a novel chelating resin containing sulfoxide and diethylene glycol

A novel chelating resin containing sulfoxide and diethylene glycol, poly{4‐vinylbenzyl‐[2‐2‐(hydroxyethyl)ethoxyl]sulfoxide} (PVESO) was synthesized using chloromethylated polystyrene (PS‐Cl) as material. Its structure was characterized by elemental analysis, infrared spectra, and scanning electron microscopy (SEM). The adsorption capacities of the resin for Hg²⁺, Ag⁺, Cu²⁺, Zn²⁺, and Pb²⁺ at various pH values were determined. The maximum adsorption capacities for Hg²⁺ and Ag⁺ were 1.56 and 0.75 mmol g^?1 respectively. The resin had high selectivity for Hg²⁺ and Ag⁺ over the pH range 1.0–7.0. The adsorption capacities for Hg²⁺ and Ag⁺ under competitive condition were also determined by batch experiment method. In addition, the adsorption kinetics of the resin towards Hg²⁺ at different temperatures was also investigated. The results showed that the adsorption rate was governed by film diffusion at 20°C and 25°C, by particle diffusion at 30°C and 35°C. © 2006 Wiley Periodicals, Inc. J Appl Polym Sci 102: 6054–6059, 2006     

Hadoop平台下的分形图像压缩编码

借助Hadoop平台实现了分形图像压缩编码,并将其应用于云渲染中对渲染后的图像进行压缩并传至用户阶段。采用4台PC机搭建Hadoop平台,并在此基础上进行分形图像压缩编码,实验结果表明,采用4台PC机的Hadoop平台并行压缩时间不到单台PC机压缩时间的30%,证实了该方案的现实有效性。采用分形压缩编码将云渲染后的图像传给用户具有压缩比大、传输时间短、解压缩快等特点,对改善云渲染用户体验具有重要意义。     

基于损益云模型的制造车间重调度决策方法

针对制造车间重调度触发机制问题,建立了制造车间重调度损益函数,揭示了生产车间重调度过程损失及增益的变化规律.引入云理论测度重调度损益的不确定性,使用逆向云算法计算重调度增益云和损失云的数字特征,根据云形态预测重调度损益变化趋势.提出一种基于损益云模型的重调度决策方法以判断是否需要重调度,并利用最佳损益比甄选预调度方案以兼顾生产系统的稳定性和有效性.最后,通过实例验证了该方法的合理性和实用性.     

读写频繁云存储网络应用的数据备份方法

文章根据读写频繁的云存储网络应用的数据存储特点,提出了一种新的数据备份方法,旨在最优化地利用已有的系统资源,为用户提供更好的用户体验。文章中的数据备份方法包括基于数据节点废弃度计算与用户访问预测的副本创建机制和基于存储平衡预测算法与副本健康度计算的负载调整机制。文章的数据备份方法与现有技术相比针对日益流行的社交类云存储网络应用进行了优化,将多种数据参数加权计算作为衡量数据节点优劣和副本文件价值的标准,在保证用户使用体验的前提下使各数据节点达到负载的均衡,并且避免了云服务器端将有限的计算资源浪费在频繁的副本调整过程中。     

一种基于文件型病毒的粒子群检测方法

当今计算机技术的快速发展,使得计算机病毒的智能性日益突出,所以使用单一的传统检测技术在病毒检测过程中,漏检和误检的比例明显上升。为了应对目前病毒体现出的智能性,反病毒技术也必须采用相应的智能技术。文中在查阅了相关资料后,提出一种基于粒子群的病毒检测技术。首先对一个未知属性的程序依照病毒的属性来判断该程序是否是病毒程序。在确定该程序是病毒的前提条件下,再通过粒子群的方法来判断该病毒所属种类。     

基于灰色模糊层次分析法的企业云服务安全评价模型

从企业实施云服务项目角度,总结得出影响云服务安全的四大因素,即平台设施、运行安全、运营管理以及法律法规因素。在此基础上构建企业云服务安全评价模型,并利用灰色模糊层次分析法（ GFAHP）对模型进行综合评价。最后通过一个实例进行具体阐明与评价。     

Unikernel的研究及其进展

Unikernel是一种专门定制、优化的轻量级虚拟机,在云环境中,它能够解决由传统虚拟机带来的资源消耗大、低效率、低安全性的问题,有望成为超越Docker的下一代轻量级微服务系统架构。目前,Unikernel开源项目较多,技术呈现复杂性和多样性,使得研究人员和开发人员难以准确理解和把握。为此,首先介绍了Unikernel的基本概念和基本特点;然后总结出了Unikernel的系统架构,并详细阐述了Unikernel关键技术的研究工作进展,包括应用层、库操作系统层和平台适配层;最后结合已有的研究成果,探讨了Unikernel的研究方向及其面临的机遇和挑战。     

非饱和黏性土直剪强度特性及其修正分析

为研究非饱和黏性土的直剪强度特性,采用非膨胀土及两种不同干密度的弱膨胀土进行了包含低应力状态下8种不同上覆压力的直剪试验。试验结果表明,随着上覆压力的增大,最大剪应力及所对应的剪切位移逐渐增大,试验中低应力状态下测定的土体凝聚力小于高应力状态,且试验中的上覆压力对膨胀性土凝聚力的影响大于非膨胀性黏土;而低应力状态下测定的土体内摩擦角大于高应力状态。对直剪试验中上下盒接触面积减小对抗剪强度参数测定的影响进行了分析,分析表明,接触面积减小对抗剪指标有影响,但极其微小。提出对膨胀土边坡浅层破坏进行稳定性分析时应采用低应力下的抗剪强度参数。     

Profit optimisation of the multiple-vacation machine repair problem using particle swarm optimisation

This paper investigates a multiple-vacation M/M/1 warm-standby machine repair problem with an unreliable repairman. We first apply a matrix-analytic method to obtain the steady-state probabilities. Next, we construct the total expected profit per unit time and formulate an optimisation problem to find the maximum profit. The particle swarm optimisation (PSO) algorithm is implemented to determine the optimal number of warm standbys S* and the service rate μ* as well as vacation rate ν* simultaneously at the optimal maximum profit. We compare the searching results of the PSO algorithm with those of exhaustive search method to ensure the searching quality of the PSO algorithm. Sensitivity analysis with numerical illustrations is also provided.     

Assessing the predictive capability of two‐phase models for the mechanical behavior of alumina/epoxy nanocomposites

A review of analytical modeling of particulate reinforcement is made as a prelude to the problem of microstructural inhomogeneity in nanocomposite materials. Noting the inevitability of dispersion nonuniformity, and variations in agglomerate morphology and filler‐matrix interaction, the need to question the application of such models to novel materials arises. Employing the mechanical properties of alumina/epoxy nanocomposites, with known dispersion characteristics, an evaluation of the predictive capability of various models for Young's modulus, strength, and failure strain is made. Comparison between models is accompanied by a discussion of the parameters used in the fitting of macroscopic behavior to microstructural features. © 2005 Wiley Periodicals, Inc. J Appl Polym Sci 98: 869–879, 2005