虚拟化技术在实物地质资料服务中的应用

为满足实物地质资料信息服务高性能、可扩展性和灵活管理的需求,国土资源实物地质资料中心使用虚拟化技术整合服务器、网络和存储系统,通过钻孔柱状图大数据多级切片运算中验证系统高效稳定,大幅度提升实物资料信息化技术支撑能力。     

煤矿安全生产审计评价体系构建初探

为解决煤炭企业安全生产责任缺失的问题,有必要开展煤矿安全生产审计。从安全生产基础建设、安全生产执行、安全隐患排查与治理以及应急救援4个方面选取24个审计评价指标,并根据功效系数法建立评价模型,从而构建出一套可行的煤矿安全生产审计评价体系,对煤炭企业安全生产情况进行客观、全面的评价。     

探析日本现代建筑对传统文化的吸纳和表达

日本现代建筑设计尊重文化,在此基础上又具备创新精神。文化在变迁发展中与设计息息相关,日本现代建筑的转译和隐喻恰能将其体现。文章通过对日本文化的介绍,并在对日本现代建筑特征进行概括的基础上,总结日本现代建筑对传统文化的吸纳和表达。     

利用曲线面变形提取产品形态体特征的方法研究

在变形设计理论的基础上,提出了将产品主体形态分解为子形态。研究了基于超椭圆方程和三次带参均匀B样条曲线构造技术提取影响产品艺术风格子形态横截面造型特征的方法,并结合曲面构造变形技术实现产品形态体特征的提取。以电动手工具为例研究了产品形态体特征提取与形态优化设计效果,得出超椭圆方程提取算法参数少,可较好地提取对称图形、非倒角图形的造型特征;基于三次带参均匀B样条曲线构造技术的算法参数较多,可较好地提取多种图形。     

Combined FRM and GDFT filter bank designs for improved nonuniform DSA channelisation

Multistandard channelisation for base stations is a big application of generalised discrete Fourier transform modulated filter banks (GDFT‐FBs) in digital communications. For technologies such as software‐defined radio and cognitive radio, nonuniform channelisers must be used if frequency bands are shared by different standards. However, GDFT‐FB‐based nonuniform channelisers can suffer from high filter orders when applied to wideband input signals. In this paper, various combinations of GDFT‐FB with the frequency response masking technique are proposed and evaluated for both uniform and nonuniform channelisation applications. Results show that the proposed techniques achieve savings in both the number of filter coefficients and the number of operations per input sample. Copyright © 2015 John Wiley & Sons, Ltd.     

基于遗传算法—模糊径向基神经网络的光伏发电功率预测模型

针对光伏发电系统出力波动问题,提出遗传算法(GA)—模糊径向基(RBF)神经网络的光伏发电功率预测模型,将功率预测值应用于光伏发电的蓄电池储能功率调节系统,以降低对电网的冲击。选择与待预测日天气类型相同、日期相近、温度欧氏距离最小的历史日作为相似日,把与光伏发电功率相关性大的太阳辐射强度和温度作为模型输入变量,提出K均值聚类和遗传算法的参数优化方法,建立基于GA—模糊RBF神经网络的最终预测模型。在光伏功率预测的基础上,提出一种平滑控制策略,对光伏并网功率进行有效调节,从而达到平滑光伏功率波动的目的。实例证明,所述预测模型具有较高精度,并验证了平滑功率波动控制策略的有效性。     

国产Ni-5%W合金基带电化学抛光工艺优化研究

采用均匀实验设计方法,研究了Ni-5%W合金基带在磷酸-硫酸及添加剂体系中的电化学抛光工艺条件,利用DPS(Data Processing System)软件对抛光工艺进行逐步回归优化,同时根据回归后的特征方程组进行实验验证,并用金相显微镜、原子力显微镜对基带表面形貌进行表征。结果表明,通过两次回归拟合,在25μm×25μm范围内,基带表面均方根粗糙度可降低到3 nm以下,且实验值与预报值相对误差为2.36%。     

均匀线阵目标到达角估计的压缩感知方法研究

为了缓解表面波雷达在天线阵列小型化后角度分辨率低的问题,采用压缩感知理论,提出一种小型天线阵列表面波雷达目标到达角估计的方法。将到达角估计问题转化为稀疏信号表示的重建问题。建立了稀疏信号模型,分析了应用条件,将角度和速度空间离散化以构造字典,设计了基于实时海态信息的测量矩阵,设计匹配算法完成信号重构。仿真结果表明,若满足准确重建条件,即使在小型天线阵列的情况下,也能以计算资源为代价改善方位分辨率。     

Sintered silver finite element modelling and reliability based design optimisation in power electronic module

This paper discusses the design for reliability of a sintered silver structure in a power electronic module based on the computational approach that composed of high fidelity analysis, reduced order modelling, numerical risk analysis, and optimisation. The methodology was demonstrated on sintered silver interconnect sandwiched between silicon carbide chip and copper substrate in a power electronic module. In particular, sintered silver reliability due to thermal fatigue material degradation is one of the main concerns. Thermo-mechanical behaviour of the power module sintered silver joint structure is simulated by finite element analysis for cyclic temperature loading profile in order to capture the strain distribution. The discussion was on methods for approximate reduced order modelling based on interpolation techniques using Kriging and radial basis functions. The reduced order modelling approach uses prediction data for the thermo-mechanical behaviour. The fatigue lifetime of the sintered silver interconnect and the warpage of the interconnect layer was particular interest in this study. The reduced order models were used for the analysis of the effect of design uncertainties on the reliability of the sintered silver layer. To assess the effect of uncertain design data, a method for estimating the variation of reliability related metrics namely Latin Hypercube sampling was utilised. The product capability indices are evaluated from the distributions fitted to the histogram resulting from Latin Hypercube sampling technique. A reliability based design optimisation was demonstrated using Particle Swarm Optimisation algorithm for constraint optimisation task consists of optimising two different characteristic performance metrics such as the thermo-mechanical plastic strain accumulation per cycle on the sintered layer and the thermally induced warpage.     

自适应阵列抗干扰性能的解析定量分析

自适应阵列抗干扰性能常用输出信干噪比(Signal-to-Interference and Noise Ratio,SINR)损失、抗干扰改善因子(ECCM Improvement Factor,EIF)等来衡量,但目前尚缺乏解析的定量分析.为此,采用归纳法理论推导了均匀线阵条件下输出SINR损失、EIF等指标的解析表达式,定量获取了自适应阵列抗干扰性能.仿真实验验证了理论分析结果的有效性及快拍数对自适应阵列抗干扰性能的影响.