锥孔滚压头的开发设计

为了解决泥浆泵液力端泵头1：6锥孔表面加工精度不高,在使用中出现锥孔表面剌蚀而报废的问题,本文介绍了一种性价比较高,简单易行,安全可靠的锥孔滚压工艺方法,通过该工艺方法的实施,提高了锥孔表面加工精度和硬度,达到了设计要求,保证了泵头质量,延长了泵头的使用寿命,减少了阀及阀组件更换频次,大大的降低了运行成本,为用户安全生产提供了优质的产品保障。     

光电成像导引察打一体无人机命中精度计算分析

针对采用电视或红外成像导引方式的自毁式侦察打击一体化无人机,在落点偏差正态分布假定下,根据相对目标的以圆概率误差（CEP）表示的命中精度的定义,忽略无人机滚转影响,对CEP与落点系统偏差和标准偏差的关系进行数学描述。结合系统工作原理和俯冲攻击流程,建立CEP和基于视频图像的跟踪导引系统和随机角误差及导引盲距（即最短有效导引距离）间的数学方程,并利用Mathcard数学软件举例计算分析。此方法可以用于依据给定CEP和导引盲距分解确定跟踪导引角误差参数,也可基于导引盲距和跟踪导引角误差预测CEP指标是否能够实现。     

地基望远镜风载数值分析

风载是影响地基望远镜性能的主要因素之一,为了研究风载荷的作用以及对望远镜性能的影响程度,首先建立了望远镜、圆顶和流场的几何模型。然后利用CFD(Computational Fluid Dynamics)分析了在外界风速为10 m/s 的情况下,3 种不同高角(30、60、120)流场中截面空气速度、压力、湍流动能以及主镜面的静压力的瞬态分布,最后通过有限元方法获得了主镜去除刚体位移后的面形。仿真结果表明,望远镜以不同高角观测时主镜面静压力功率谱密度与Gemini 望远镜的实测结果接近,真实模拟了风载荷的作用。由风载引起的镜面变形RMS 值分别为3.74E-1 nm,2.5E-2 nm,1.71E-1 nm,满足面形精度要求。     

甚长基线近区时差测向联合定位及特性分析

双站协同无源制导是一种全新的反辐射导引体制,具有隐蔽性高、抗干扰能力强等特点。针对此应用中末制导阶段的目标无源协同定位问题,构建了甚长基线近区时差测向无源定位模型,分析了在这个模型下测距精度随测向夹角的变化规律,以及在各种攻击方向上所能达到的定位精度,并利用这个结果分析了无源末制导阶段导弹攻击阵位的优选条件,提高了无源定位精度。最后通过仿真验证了理论分析的有效性,从而为双站协同无源制导和反辐射精确打击等应用提供了新的参考。     

一种改进的K-Modes聚类算法

传统的K-Modes算法采用0-1简单匹配方法计算对象与类中心(Modes)之间的距离,并将每个对象分配到离它最近的类中去。采用基于频率方法重新计算各类的类中心(Modes)、定义目标函数,然而,对象的归类方法和目标函数的定义没有充分考虑分类数据的特点。对此,提出一种改进的K-Modes算法,采用期望熵最小的衡量方法进行归类,并且采用期望熵作为新的目标函数。通过实验将该算法与传统的K-Modes算法进行比较,表明该算法是更有效的。     

一种基于TRIAC调光LED驱动中的相角测量技术

基于TRIAC调光,提出了一种用于LED驱动芯片中,测量经TRIAC调光器斩波后AC线电压导通角的技术,并给出了其具体电路实现方式.此方法具有测量精度可调、负载LED亮度范围可调等诸多优点,能够很好地满足实际应用的需求.基于0.5 μm BCD工艺,用Hspice进行仿真,结果表明:本文提出的相角测量技术能准确测量AC线电压导通角的大小,从而精确控制流过负载LED的电流.     

Ultra high performance liquid chromatography with ion‐trap TOF‐MS for the fast characterization of flavonoids in Citrus bergamia juice

We have developed a fast ultra HPLC with ion‐trap TOF‐MS method for the analysis of flavonoids in Citrus bergamia juice. With respect to the typical methods for the analysis of these matrices based on conventional HPLC techniques, a tenfold faster separation was attained. The use of a core–shell particle column ensured high resolution within the fast analysis time of only 5 min. Unambiguous determination of flavonoid identity was obtained by the employment of a hybrid ion‐trap TOF mass spectrometer with high mass accuracy (average error 1.69 ppm). The system showed good retention time and peak area repeatability, with maximum RSD% values of 0.36 and 3.86, respectively, as well as good linearity (R² ≥ 0.99). Our results show that ultra HPLC can be a useful tool for ultra fast qualitative/quantitative analysis of flavonoid compounds in citrus fruit juices.     

FIPSDock: A new molecular docking technique driven by fully informed swarm optimization algorithm

The accurate prediction of protein–ligand binding is of great importance for rational drug design. We present herein a novel docking algorithm called as FIPSDock, which implements a variant of the Fully Informed Particle Swarm (FIPS) optimization method and adopts the newly developed energy function of AutoDock 4.20 suite for solving flexible protein–ligand docking problems. The search ability and docking accuracy of FIPSDock were first evaluated by multiple cognate docking experiments. In a benchmarking test for 77 protein/ligand complex structures derived from GOLD benchmark set, FIPSDock has obtained a successful predicting rate of 93.5% and outperformed a few docking programs including particle swarm optimization (PSO)@AutoDock, SODOCK, AutoDock, DOCK, Glide, GOLD, FlexX, Surflex, and MolDock. More importantly, FIPSDock was evaluated against PSO@AutoDock, SODOCK, and AutoDock 4.20 suite by cross‐docking experiments of 74 protein–ligand complexes among eight protein targets (CDK2, ESR1, F2, MAPK14, MMP8, MMP13, PDE4B, and PDE5A) derived from Sutherland‐crossdock‐set. Remarkably, FIPSDock is superior to PSO@AutoDock, SODOCK, and AutoDock in seven out of eight cross‐docking experiments. The results reveal that FIPS algorithm might be more suitable than the conventional genetic algorithm‐based algorithms in dealing with highly flexible docking problems. © 2012 Wiley Periodicals, Inc.     

q value and parent energy optimization using a low-voltage ionization approach increases resolution in linear ion trap mass spectrometry

In this work, the isolation step in the linear ion trap was performed using different “q values” conditions at a low collision-induced dissociation (CID) energy leading to the parent ion resolution improvements, reasonably due to better ion energy distribution. According to the results, we obtained a greater resolution and mass accuracy operating in both traditional electrospray and low voltage ionization near the q value = 0.778 and with a CID energy of 10%. This effect was evaluated with low-molecular-mass compounds (skatole and arginine). The proposed optimization yielded a superior instrument performance without adding technological complexity to mass spectrometry analyses.     

基于改进免疫遗传算法的近红外光谱变量选择方法

该文在免疫遗传算法（IGA）的基础上,提出一种改进免疫遗传算法（iIGA）用于近红外光谱波长变量的选择。该算法舍去了原算法中固定抗体相似度阈值的思想,取而代之的是抗体相似度阈值自适应,同时引入精英保留策略和贪心算法思想,使得算法朝着正确的方向进行局部性探优。将该算法在玉米的淀粉和蛋白质含量数据集上进行实验测试,建立偏最小二乘（PLS）分析模型,并与IGA、遗传算法（GA）以及全谱方法进行了对比。结果表明,在玉米淀粉含量的预测上,iIGA相较于原IGA算法,预测集均方根误差（RMSEP）从0.312 0降至0.298 0,预测集预测精度提升4.5%;在玉米蛋白质含量的预测上,RMSEP从0.124 4降至0.110 3,预测集预测精度提升11.3%。分别对预测淀粉和蛋白质模型的RMSEP值进行显著性检验,F值分别为165.22和182.05,P值分别为9.5 × 10－23和4.5 × 10－24,P值均小于0.05,因此,iIGA能显著提升模型预测精度。