Zinc binding to peptide analogs of the structural zinc site in alcohol dehydrogenase: Implications for an entatic state

Zinc binding to the peptide replica and analogs to residues 93–115 of horse liver alcohol dehydrogenase (ADH) was examined by competition of the peptides and the chromophoric chelator 4-(2- pyridylazo)resorcinol for zinc and X-ray absorption fine structure analysis of the zinc ligands. In the enzyme, zinc is coordinated by four Cys residues. In the peptide replica, zinc is bound to three Cys and one His residue. A four-Cys zinc coordination is observed only when His is removed, leading to increased zinc stability. ADH crystal structures reveal that the ε-amino group of the conserved residue Lys323 is within H-bond distance of the backbone amide oxygens of residues 103, 105 and 108, likely stabilizing the zinc coordination in the enzyme. The peptide data thus indicate structural strain and increased energy in the zinc-binding site in the protein, characteristic of an entatic state, implying a functional nature for this zinc site. Received 3 July 2008; received after revision 11 August 2008; accepted 1 September 2008     

高斯白噪声背景下机动目标未来运动状态的一步实时预报与滤波

对高斯白噪声背景下机动目标的运动共性进行了研究,绕过了建立系统加速度模型的麻烦,得到了未来运动趋势的一步实时预报模型,并具有很好的实时性.文章中还给出了算例与仿真计算结果.     

状态空间模型在区域森林景观生态经济研究中的应用

通过对江苏省溧阳地区森林景观进行生态经济研究 ,获取区域森林景观的生态经济特征数据的基础上 ,结合森林动态数据 ,根据研究对象的系统机理建立状态空间模型。该模型可用于进行综合生态经济评价及其规划。文中应用状态空间模型进行区域森林景观生态经济功能的多目标规划.     

Dynamic Model Averaging and CPI Inflation Forecasts: A Comparison between the Euro Area and the United States

The paper forecasts consumer price inflation in the euro area (EA) and in the USA between 1980:Q1 and 2012:Q4 based on a large set of predictors, with dynamic model averaging (DMA) and dynamic model selection (DMS). DMA/DMS allows not solely for coefficients to change over time, but also for changes in the entire forecasting model over time. DMA/DMS provides on average the best inflation forecasts with regard to alternative approaches (such as the random walk). DMS outperforms DMA. These results are robust for different sample periods and for various forecast horizons. The paper highlights common features between the USA and the EA. First, two groups of predictors forecast inflation: temporary fundamentals that have a frequent impact on inflation but only for short time periods; and persistent fundamentals whose switches are less frequent over time. Second, the importance of some variables (particularly international food commodity prices, house prices and oil prices) as predictors for consumer price index inflation increases when such variables experience large shocks. The paper also shows that significant differences prevail in the forecasting models between the USA and the EA. Such differences can be explained by the structure of these respective economies. Copyright © 2015 John Wiley & Sons, Ltd.     

基于人眼状态识别的驾驶员疲劳检测方法研究

提出一种基于眼睛状态识别的驾驶员疲劳状态检测的方法。首先通过建立肤色模型分割出人脸区域,再利用搜索连通域的方法实现眼睛区域的定位;然后计算出眼睛区域的垂直积分投影曲线,提取并比较曲线的特征参数,从而识别眼睛的状态;最后以眼睛闭合时间比率为测量标准实现对驾驶员疲劳程度的检测。实验表明,该方法简单、有效、实时性较好,疲劳检测的正确率较高。     

激光作用生成的网孔硅结构

作者结合量子受限效应,提出纳硅晶与氧化硅界面态发光模型来解释激光作用生成的纳米网孔壁结构的强荧光效应。将功率为50W、波长为1064nm的YAG激光束(束斑直径0.05mm)照射在硅样品表面打出小孔,在孔内的侧壁上,有很特殊的网孔形结构,其中的网孔壁厚为纳米尺度,这里有很强的受激荧光发光效应,发光峰中心约在700nm处。我们将激光与硅样品的作用隔离于无氧化的环境里,分别比较了将硅样品浸入酒精、氢氟酸和水中的激光加工结果,其发光情况证实了该发光模型的真实性。优化激光加工的条件,我们获得了较强发光的样品。     

激光作用生成的纳晶硅与氧化硅界面态发光模型

我们结合量子受限效应,提出纳硅晶与氧化硅界面态发光模型来解释激光作用生成的纳米网孔壁结构的强荧光效应.将功率为50W、波长为1 064nm的YAG激光束(束斑直径0.05mm)照射在硅样品表面打出小孔,在孔内的侧壁上,有很特殊的网孔形结构,其中的网孔壁厚为纳米尺度,这里有很强的受激荧光发光效应,发光峰中心约在700nm处.我们将激光与硅样品的作用隔离于无氧化的环境里,分别比较了将硅样品浸入酒精、氢氟酸和水中的激光加工结果,其发光情况证实了该发光模型的真实性.优化激光加工的条件,我们获得了较强发光的样品.     

基于多尺度光流融合特征点视觉-惯性SLAM方法

为提高视觉-惯性导航系统在弱纹理环境下的鲁棒性和精度,结合特征点法精度高和光流法速度快的特点以及惯性信息,提出一种多尺度均匀化光流融合特征点法的视觉-惯性同时定位与地图(simultaneous localization and mapping, SLAM)构建方法。首先,改进快速特征点提取和描述(oriented fast and rotated brief, ORB)特征提取过程,采用多尺度网格化的方法提取ORB特征点并利用四叉树均匀分配特征点,提高特征分布离散性。其次,在帧间采用LK(Lucas and Kanade)光流法追踪特征点进行帧间的数据关联,在关键帧对特征点进行描述子的计算和匹配从而实现关键帧间的数据关联,保证算法速度的同时提高定位精度和鲁棒性。最后,基于光流法建立的数据关联得到的初始位姿为后端优化提供初始值,整合ORB特征点重投影误差、惯性测量单元(inertial measurement unit, IMU)预积分误差以及滑动窗口先验误差构建最小化目标函数采用滑动窗口非线性优化进行求解。实验表明,所提方法相比单目视觉惯性系统具有更高的定位精度和鲁棒性,定位精度平均...     

广义系统多传感器分布式融合降阶Kalman滤波器

对于带多传感器的广义线性离散随机系统,应用奇异值分解,将其变换为等价的两个降阶多传感器子系统,提出了基于变换后的状态融合器构造原始状态融合器的新的融合方法。应用Kalman滤波方法,在线性最小方差按矩阵加权、按对角阵加权和按标量加权融合准则下,分别提出了三种最优加权融合降阶广义Kalman滤波器。可统一处理融合滤波、平滑和预报问题。可减少计算负担和改善局部滤波精度。证明了三种融合器和局部估值器之间的精度关系。为了计算最优加权。提出了局部滤波误差协方差阵的计算公式。一个Monte Carlo仿真例子说明了其有效性。     

基于有限状态机的多阶段网络攻击方法研究

提出了针对多阶段攻击分析的多阶段有限状态机模型,用于分析复杂的攻击行为。通过M-FSM模型能够对攻击的步骤和路径进行综合分析,从而发现网络中存在的安全漏洞和不当的安全配置。在对多阶段攻击进行综合分析的基础上,系统管理员可以以最小的投入对系统进行加固。