基于SDN的高校数据中心网络设计

软件定义网络SDN（Software-Defined Network）,或称软件驱动网络SDN（Software Driven Networks）是目前数据中心建设的一个很重要的热点技术,它将网络的控制平面和数据平台相分离,为数据中心的网络控制提供了一种全新的解决方案。对SDN的架构进行了分析,对比了不同的SDN/Overlay覆盖技术实现方法,重点介绍了覆盖（Overlay）方案在控制平面的思路和overlay网络如何与传统网络互通的方法。最后探讨了SDN是未来数据中心的发展趋势。     

多级VPN技术在疫情直报网络中的应用

随着传染病网络直报的不断发展和关键业务不断增加,对传染病网络直报系统的安全性、可靠性、实时性提出了新的严峻挑战。本文分析了构建武汉市疾控系统VPN网络的背景及整体构架,阐述如何利用IPSEC VPN和SSL VPN技术构建国家、省、市、区疾控系统VPN网络的方法,真正实现资源共享和"一网多用"。     

Solid polymer electrolytes. XI. Preparation,characterization and ionic conductivity of new plasticized polymer electrolytes based on chemical‐covalent polyether–siloxane hybrids

A new hybrid polymer electrolyte system based on chemical‐covalent polyether and siloxane phases is designed and prepared via the sol–gel approach and epoxide crosslinking. FT‐IR, ¹³C solid‐state NMR, and thermal analysis (differential scanning calorimetry (DSC) and TGA) are used to characterize the structure of these hybrids. These hybrid films are immersed into the liquid electrolyte (1M LiClO₄/propylene carbonate) to form plasticized polymer electrolytes. The effects of hybrid composition, liquid electrolyte content, and temperature on the ionic conductivity of hybrid electrolytes are investigated and discussed. DSC traces demonstrate the presence of two second‐order transitions for all the samples and show a significant change in the thermal events with the amount of absorbed LiClO₄/PC content. TGA results indicate these hybrid networks with excellent thermal stability. The EDS‐0.5 sample with a 75 wt % liquid electrolyte exhibits the ionic conductivity of 5.3 × 10^?3 S cm^?1 at 95°C and 1.4 × 10^?3 S cm^?1 at 15°C, in which the film shows homogenous and good mechanical strength as well as good chemical stability. In the plot of ionic conductivity and composition for these hybrids containing 45 wt % liquid electrolyte, the conductivity shows a maximum value corresponding to the sample with the weight ratio of GPTMS/PEGDE of 0.1. These obtained results are correlated and used to interpret the ion conduction behavior within the hybrid networks. © 2006 Wiley Periodicals, Inc. J Appl Polym Sci 100: 1000–1007, 2006     

结合注意力机制与BIM特征的电力能耗预测

能耗预测中引入外因序列有助于目标序列的预测,但在实际应用中各个外因序列与目标序列之间的相关程度往往不清晰,导致无法有效利用多外因序列辅助预测.针对该问题,提出一种结合注意力机制与BIM特征的电力能耗预测模型——BIMAttenNN(BIM Attention Nerual Network).通过结合注意力机制与BIM特征对外因序列自动选取并重构,将重构特征通过编码器-解码器结构的深度神经网络和线性回归分支准确预测未来电力能耗.实验结果表明,BIMAttenNN能够结合BIM特征自动捕捉电力序列间关系,与传统方法相比具有更高的预测精度.     

培养面向新形势的保密人才队伍

保密人才队伍建设工作是做好保密工作的一项重要基础性工作.培养面向新形势的保密人才队伍,是现阶段保密工作科学发展的客观要求.本文总结了保密人才队伍培养的意义和工作原则,分析了分类培养方式,对当前存在问题及相关对策进行了积极探讨,以期为保密人才队伍培养工作提供借鉴和参考.     

Growth characteristics and kinetics of niobium carbide coating obtained on AISI 52100 by thermal-reactive diffusion technique

Niobium carbide coating was produced by thermal-reactive diffusion technique on AISI 52100 steel in salt bath at 1 123 K, 1 173 K, and 1 223 K for 1, 2, 4, and 6 hours. The salt consisted of borax, sodium fl uoride, boron carbide, and niobium pentoxide. The presence of NbC phase on the steel surface was confi rmed by X-ray diffraction analysis. Microscopic observation showed that niobium carbide coating formed on the substrate was smooth and compact. There was a distinct and fl at interface between the coating and substrate. The micro-hardness of niobium carbide coating was 2892±145HV. The thickness of coating ranged from 1.6 μm to 14μm. The forming kinetics of niobium carbide coating was revealed. Moreover, a contour diagram derived from experimental data was graphed for correct selection of process parameters. Some mathematical equations were built for predicting the coating thickness with predetermined processing temperature and time. The results showed that these mathematical equations are very practical as well as the kinetics equation.     

知识开源化背景下信息安全类课程教学改革初探

本文针对当前知识开源化的现状,结合信息安全类相关课程在北京电子科技学院授课的实际情况,以利用知识开源化所带来的优势,改善课程的教学效果、提高学生的动手实践能力为目的,研究和探讨了信息安全类部分课程的教学模式改革方式和所取得的效果。     

Multiple Venting Behavior of Inner Dust Explosions

Combustion, Explosion, and Shock Waves - Explosion venting experiments of corn starch are carried out in a small-scale container. With the help of a high-speed camera and a pressure sensor, an...     

D杯形砂轮修整碟形金刚石砂轮试验研究

本文采用了D杯形砂轮与碟形砂轮对磨法来修整大直径树脂结合剂碟形金刚石砂轮。在分析研究杯形砂轮修整碟形砂轮的修整原理及修整方式的基础上，用自行研制的专用修整装置，从主轴转速、修整深度、修整工具结合剂类型等方面进行了对比工艺试验研究，总结了杯形砂轮修整碟形砂轮的不同工艺参数与修整效率、修整质量之间的工艺规律。试验结果表明，在本试验条件下主轴转速500r／min，修整深度0．02mm的修整效率较好；细粒度、中等浓度的青铜结合剂杯形金刚石砂轮与粗粒度、高浓度的杯形砂轮修整碟形砂轮相比，后者具有较好的修形效果和修整效率；D杯形砂轮与GC杯形砂轮交替配合使用可以大大提高碟形金刚石砂轮的修形效率和修锐效果。     

基于车磨试验台的超高速陶瓷CBN砂轮研究

本文论述了一个用于超高速磨削试验的陶瓷CBN砂轮的研制过程.通过ANSYS分析我们发现,对于砂轮基盘的材料,钛合金是本次试验最佳的选择;锥形是砂轮形状最佳的选择.基于分析结果和试验台的限制得出了砂轮基盘的精确截型.而且,根据试验数据,我们选择了30%的高韧性CBN500和70%的中等韧性CBN Ⅰ混合磨料及一种低温高强陶瓷结合剂.通过810℃烧结温度得到了理想的砂轮贴片.并经良好的粘结技术制出了用于200m/秒超高速磨削试验的CBN砂轮.最后,该砂轮的良好磨削性能得到了验证.