采矿爆破地震安全距离与设计参数的应用研究

依据爆破安全规程给出了实际检测资料的处理方法。根据爆破设计和检测数据拟合结果的差异性，讨论了爆破地震安全距离S随设计经验参数K、α值的变化规律和范围，得出K取最大值，α取最小值能够最大限度保证现场建筑物安全的结论。     

浅谈如何生产质量稳定的乳化炸药

通过大量的试验及理论分析 ,总结出影响乳化炸药质量稳定的原因 ,并制定了提高质量稳定的措施     

Talbot效应研究新进展

综述了对Ｔａｌｂｏｔ效应研究的进展，着重介绍了对它的新解释。     

Synthesis and Properties of the Bi-Based Superconducting Powder Prepared by the Pechini Process

Bi-based superconductors are of great interest in high-temperature superconductors. We describe what is believed to be the first synthesis of these materials using the Pechini process, a low-temperature synthetic method that often yields inorganic oxide of excellent phase purity and well-controlled stoichiometry. Using this process, it has been possible to synthesize phase-pure Bi-2223 phase by calcining the appropriate polymeric precursors in air at 800°C for several hours. The superconductivity studies show that the Pechini-synthesized materials appear to offer high-quality performance.     

Operating characteristics and their anisotropy in a high-power laser (1.5 W, 300 K) with a quantum-dot active region

Continuous-wave lasing has been demonstrated in a vertically coupled quantum-dot laser with a high output power (1.5 W) at room temperature. It was shown that anisotropy of the quantum dot profile leads to anisotropy of the laser operating characteristics. Pis’ma Zh. Tekh. Fiz. 24, 50–55 (May 12, 1998)     

相变存储器存储单元瞬态电流测量

介绍了相变存储单元瞬态电流的测量方法。根据相变存储器的工作特性,利用微弱电流取样电阻测量法,合理选择测量参数测得了相变存储单元的瞬态电流,电阻与电流关系特性曲线和动态电阻。并根据测量电路等效电路模型分析影响测量的因素,估算出电路中的分布电容。     

基于模糊树逆方法的高超飞行器变质心控制

本文针对高超飞行器变质心姿态动力学模型所具有的高度非线性、多变量、强耦合特性,通过合理的简化,得到了一个耦合的非线性动力学系统;根据简化模型的特点,将该模型分为俯仰偏航通道模型和滚动通道模型,通道间耦合视为扰动.应用模糊树模型逼近俯仰偏航通道的逆模型,实现了俯仰偏航通道解耦线性化,对各线性子系统设计闭环控制器,实现了飞行器俯仰偏航通道姿态角的跟踪;应用预测变结构方法保证了滚动通道的快速稳定并且无抖振现象.最后,将该方法应用于高超飞行器姿态系统控制的仿真研究,表明了本文方法的有效性和可行性.     

CloudRank-D: benchmarking and ranking cloud computing systems for data processing applications

With the explosive growth of information, more and more organizations are deploying private cloud systems or renting public cloud systems to process big data. However, there is no existing benchmark suite for evaluating cloud performance on the whole system level. To the best of our knowledge, this paper proposes the first benchmark suite CloudRank-D to benchmark and rank cloud computing systems that are shared for running big data applications. We analyze the limitations of previous metrics, e.g., floating point operations, for evaluating a cloud computing system, and propose two simple metrics: data processed per second and data processed per Joule as two complementary metrics for evaluating cloud computing systems. We detail the design of CloudRank-D that considers representative applications, diversity of data characteristics, and dynamic behaviors of both applications and system software platforms. Through experiments, we demonstrate the advantages of our proposed metrics. In several case studies, we evaluate two small-scale deployments of cloud computing systems using CloudRank-D.     

基于一种混合的节点定位算法的研究

针对基本的DV-Hop节点定位算法会产生不良的节点和多级跳带来的累积误差以及未知节点的坐标没有进行修正等缺点,提出了一种改进的混合节点定位算法WHDV-Hop算法,改进后的算法定位误差率明显比改进前的定位误差率小,通过MATLAB软件对节点定位误差方面进行仿真验证,仿真实验结果证明该改进后的算法稳定、可靠,易于实现。与DV-Hop算法相比,定位精确度提高了4.65%,计算量减少,降低了能量消耗水平,实现预期的目标。     

基于决策树的数据挖掘算法优化研究

决策树模型是数据挖掘中最常用的一种方法,具有较好的分类预测能力,并能方便提取决策规则。基于相似性原理,以测试属性和决策属性的相似度作为启发规则构建决策树。提出了一种新的决策树生成算法。并在高校教师综合考评系统中采用了这种新算法,实验结果表明这种新的决策树生成算法预测精度较高,计算也比较简便。