Research on graphite powders used for HTR-PM fuel elements

Different batches of natural graphite powders and electrographite powders were characterized by impurity, degree of graphitization, particle size distribution, specific surface area, and shape characteristics. The graphite balls consist of proper mix-ratio of natural graphite, electrographite and phenolic resin were manufactured and characterized by thermal conductivity, anisotropy of thermal expansion, crush strength, and drop strength. Results show that some types of graphite powders possess very high purity, degree of graphitization, and sound size distribution and apparent density, which can serve for matrix graphite of HTR-PM. The graphite balls manufactured with reasonable mix-ratio of graphite powders and process method show very good properties. It is indicated that the properties of graphite balls can meet the design criterion of HTR-PM. We can provide a powerful candidate material for the future manufacture of HTR-PM fuel elements.     

Video summarization via minimum sparse reconstruction

The rapid growth of video data demands both effective and efficient video summarization methods so that users are empowered to quickly browse and comprehend a large amount of video content. In this paper, we formulate the video summarization task with a novel minimum sparse reconstruction (MSR) problem. That is, the original video sequence can be best reconstructed with as few selected keyframes as possible. Different from the recently proposed convex relaxation based sparse dictionary selection method, our proposed method utilizes the true sparse constraint L₀ norm, instead of the relaxed constraint _L2,1$L_{2,1}$ norm, such that keyframes are directly selected as a sparse dictionary that can well reconstruct all the video frames. An on-line version is further developed owing to the real-time efficiency of the proposed MSR principle. In addition, a percentage of reconstruction (POR) criterion is proposed to intuitively guide users in obtaining a summary with an appropriate length. Experimental results on two benchmark datasets with various types of videos demonstrate that the proposed methods outperform the state of the art.     

三义寨引黄灌区多功能河道清淤船的研制

近年来,受黄河来水量减小及小浪底水库蓄水调沙作用的影响,三义寨渠首闸引水流量较小,导致引渠淤积、渠底抬高,造成灌区引水困难.为此,三义寨闸管处研发了多功能河道清淤船,该船由行走系统、起重架系统和吸沙排沙系统三部分构成,船体吃水深度为0.6m,吸沙能力为0.75 ～ 1.0 t/min,清淤深度为1.5～1.6m.生产实践表明,它可满足三义寨引渠的清淤作业,与租用机械清淤对比,多功能清淤船的经济效益显著.     

HDTMA改性沸石吸附水中Cr（VI）研究

摘要：研究以阳离子表面活性剂HDTMA改性天然斜发沸石,制得HDTMA改性沸石,进而研究HDTMA改性沸石对废水中Cr（VI）的吸附特征。结果表明：HDTMAL改性沸石对cr（VI）吸附符合Langmuir等温式和拟二级动力学方程,饱和吸附量为10．99mg／g,吸附主要为化学吸附,但温度、pH值和干扰离-~HDTMA沸石吸附cr（VI）具有明显影响。     

浅谈CAI课件对数学课堂的优化

计算机辅助教学是计算机技术在教学中的直接应用,它利用先进的计算机硬件及其软件帮助或代替教师执行部分教学任务,对学生传授知识和训练技能.本文主要以一年级<分类>这一课为例,从四个方面来探讨CAI课件对数学课堂的优化.     

一种改进性能自适应ICA算法研究

研究高动态环境必须实时自适应追踪混合矩阵的变化,快速浮点独立成分分析(Fast-ICA)算法,可以达到快速收敛.依据梯度在线学习算法性能更好,但是它的缺点是收敛慢,并且依赖适当的收敛算子的选择.为解决上述问题,提出了一种依据梯度优化块自适应ICA算法(GBOBA/ICA),包含Fast-ICA和依据梯度在线学习两种算法...     

Direct microscale imprinting of Al at room temperature with Si inserts

For direct imprinting of metals, hard materials such as diamond and SiC have been used to construct mold inserts in preference to Si, despite the ease in fabricating Si-based micro-/nano- scale structures. In this communication, we demonstrate that micron scale Al structures can be replicated with good fidelity at room temperature by compression molding with Si inserts without incurring insert damage. We further report on results of a finite element analysis of the mechanics of the molding process. The finite element results provide some understanding of the observed lack of damage to the Si inserts.     

定转子圆度智能测量装置驱动研究

本文讲述了水电站机组定转子圆度测量装置的基本原理和构成,重点阐述圆度测量装置步进电机驱动部分的电路设计及如何使用TILF2407A DSP芯片来设计驱动程序.     

结合先天和适应性免疫的蠕虫检测免疫模型

现有的蠕虫检测方法大多通过关闭不安全的端口,切断感染主机与未感染主机之间通信等方法延缓蠕虫传播而达到将损害减少到最低程度的目的.实际上在实施这些方法时往往有许多障碍需要克服,其中的最大障碍就是存在错误检测率高的问题.现将免疫危险理论中的DCs(树突状细胞,Dendritic Cells)-T细胞协同机制用于蠕虫检测,其中DCs属于先天免疫系统细胞,T细胞属于适应性免疫系统细胞.本模型将蠕虫进程触发的系统调用序列当作抗原,将感染蠕虫导致的主机和网络异常当作危险信号.在该模型中,DCs负责危险信号的收集检测并提呈与该危险信号关联的抗原给T细胞检测器进行抗原结构检测.理论分析说明,这样的双重检测方法可以降低伪肯定率和伪否定率,并且记忆T细胞检测器的采用能使系统对类似蠕虫的再次感染反应更加迅速.     

基于事件通知服务的RFID数据处理框架

RFID技术能够实现物理对象的实时标识、定位和监控,为了达到这个目标,必须能够高效地合成RFID基本事件并且有效地发布信息.RFID应用的多样化又需要一个能够通用的RFID数据处理框架.文中提出一个基于事件通知服务的RFID数据处理框架,并设计了一种基于匹配树的RFID复杂事件检测方法应用于该框架.通过对某汽车企业制造过程用例分析,来说明本框架的应用可行性.