由对硝基苯甲醚制备对氨基苯甲醚的工艺研究

以硫磺和氢氧化钠为原料,制备多硫化钠,然后用多硫化钠还原对硝基苯甲醚合成对氨基苯甲醚。第一步反应在90℃下回流1h,硫磺的转化率可达100%;第二步反应在110℃下回流8h,对氨基苯甲醚的收率为96%,纯度为99%,副产品硫代硫酸钠的收率为92%,纯度为98%。     

Miscibility of some hydroxyl-containing polymers with poly(acetonyl methacrylate), poly(tetrahydropyranyl-2-methacrylate), and poly(cyclohexyl methacrylate)

Poly(tetrahydropyranyl-2-methacrylate) (PTHPMA) was found to be miscible with Poly(vinyl phenol) (PVPH), Poly(hydroxy ether of bisphenol A) (Phenoxy), and Poly(styrene-co-allyl alcohol) (PSAA). However, Poly(cyclohexyl methacrylate) (PCHMA) is immiscible with all these three hydroxyl-containing polymers. Poly(acetonyl methacrylate) (PACMA) was found to be miscible with PVPH but immiscible with Phenoxy and PSAA. Miscible PTHPMA-Phenoxy blends showed lower critical solution temperature behavior.     

Coupling techniques in boundary-combined methods for solving elliptic problems with singularities

Three coupling strategies in matching the Ritz-Galerkin method and the finite element method are introduced for general elliptic equations, and useful numerical techniques are provided. Numerical experiments have been carried out for solving the typical, singular Motz problem, which shows that optimal convergence rates of numerical solutions can be achieved by using the combined methods and techniques provided in this paper.     

神经网络在电路诊断中的应用

目的：阐述了目前电路基于数据库技术和人工智能专家系统及神经网络原理的故障诊断系统。方法：将所记录的模糊症状输入到系统中，通过模糊运算后，运用神经网络学习算法来寻找故障类型。结果：介绍了人工神经网络技术在电路诊断中的应用，并给出系统故障诊断软件的设计，结论：所用专家系统和神经网络相结合的方法改进电子电路故障诊断是可行的。     

水电厂设备故障诊断系统实时数据库的一种简捷实现

实时数据库及时准确地从现场获取数据并有效地组织和管理，是水电厂 设备故障诊断系统进行故障诊断的首要条件。文中在分析了现有的实时数据库实现方法后， 用C++ Builder 5.0和SQL Server 7.0完成了实时数 据库实现的一种简洁方法，它不但能够满足工程需要，而且具有关系数据库所具有的一切强 大的数据库管理和维护功能，实现也很简单，极大地节省了实时数据库开发的人力和物力。 实验表明，该方法是可行的。     

地方时与区时在电离层研究中的差异

本文指出混淆地时与区时两个时间概念在电离层研究中带来的差异的严重性，建议使用地方与区时这两个名词，而抛弃“本地时”和“当地时”等容易引起混淆的名词。     

台儿庄城区饮用水水源地水质放射性水平分析

为了解和掌握台儿庄城区饮用水水源地放射性水平和动态变化,本文以枣庄市生态环境局台儿庄分局提供的饮用水水源地水质放射性数据为基础,探讨了台儿庄城区饮用水水源地水质中α、β放射性质量浓度的动态变化。结果显示:水源地总α、β放射性质量浓度均低于标准限值,总α放射性质量浓度小于总β放射性质量浓度,总α、β放射性水平在水源地和季节变化中差异均不显著(P>0.05)。水源地水质总放射性水平符合我国规定的饮用水指导值。     

Energy efficiency in cloud computing based on mixture power spectral density prediction

Due to the budget and environmental issues, adaptive energy efficiency receives a lot of attention these days, especially for cloud computing. In the previous research, we developed a combined methodology based on nonparametric prediction and convex optimization to produce proactive energy efficiency-oriented solution. In this work, the predictive analysis was further enhanced by deriving the mixture power spectral density to model the complex cloud monitoring statistics. By engaging the improved technique to the predictive analysis, the prediction process was more adaptive to handle the fluctuation in system utilization. As a consequence, the optimization process could subsequently produce more appropriate setting for energy savings. After the infrastructure setting has been made available, the instruction of virtual machine migration was created and implemented by the cloud orchestrator. This instruction condensed the services into the pool of active facilities, satisfying the objective of power efficiency. Eventually, any physical machine out of the power configuration would be gradually terminated. Compared to our former method, the effectiveness of the proposed technique has been proven by cutting down 4.92% of energy consumption, while still maintaining a similar quality of services.

     

基于云自适应遗传算法的NoC路径分配研究

路径分配是NoC设计流程中的两个关键步骤之一;路径分配的结果对NoC系统的性能尤其是通讯延时有着很重要的影响;多约束条件下的NoC路径分配问题是NP完全问题,要求出其最优解比较困难,目前常用的方法是利用启发式算法求得其较优解;文中提出一种基于云自适应遗传算法的NoC路径分配解决方案,该算法利用云模型对传统遗传算法加以改进,采取新的方法自动调整遗传算法过程中的交叉概率pc和变异概率pm,将适应度与云模型的3个参数Ex、En、He相互结合,从而达到优化遗传算法的目的;将此算法应用于2D-Mesh拓扑结构的NoC中,以平衡链路负载和联合优化为实验目标,以优化静态通讯分配结果;实验证明,文章所采取的算法在平衡链路负载和联合优化方面均取得了良好的效果。