表面活性剂对铽—钛铁试剂体系纸上荧光的增敏作用及其应用

本文研究了9种表面活性剂对钛铁试剂体系纸上荧光法中Tb~(3+)特征荧光的增敏作用,并探讨了钛铁试剂-溴化十六烷基三甲胺体系纸上荧光法测定Tb~(3+)的最佳条件,Tb~(3+)的检测限为0.7ng。应用本方法成功地测定了中稀土分离富集物中Tb_4O_7的含量。     

卡尔曼滤波紫外光度法同时测定饮料中苯甲酸及糖精的研究

在酸性条件下，用乙醚萃取、蒸干乙醚后，用ＮａＨＣＯ３溶解残渣，从复杂的样品中分离出苯甲酸和糖精，测定它们在２４５～２８１ｎｍ之间的紫外吸收，运用卡尔曼滤波算法计算两者的浓度，用新息序列监测干扰物质分离的程度。此法简化了许多分离手续，用于饮料分析，结果满意。     

Initial data truncation for multivariate output of discrete-event simulations using the Kalman filter

Data truncation is a commonly accepted method of dealing with initialization bias in discrete-event simulation. An algorithm for determining the appropriate initial-data truncation point for multivariate output is proposed. The technique entails averaging across independent replications and estimating a steady-state output model in a state-space framework. A Bayesian technique called Multiple Model Adaptive Estimation (MMAE) is applied to compute a time varying estimate of the output's steady-state mean vector. This MMAE implementation features the use, in paralle, of a bank of Kalman filters. Each filter is constructed under a different assumption concerning the output's steady-state mean vector. One of the filters assumes that the steady-state mean vector is accurately reflected by an estimate, called the assumed steady-state mean vector, taken from the last half of the simulation data. As the filters process the output through the effective transient, this particular filter becomes more likely (in a Bayesian sense) to be the best filter to represent the data and the MMAE mean estimator is influenced increasingly towards the assumed steady-state mean vector. The estimated truncation point is selected when a norm of the MMAE mean vector estimate is within a small tolerance of the assumed steady-state mean vector. A Monte Carlo analysis using data from simulations of open and closed queueing models is used to evaluate the technique. The evaluation criteria include the ability to construct accurate and reliable confidence regions for the mean response vector based on the truncated sequences.     

神经网络校正的EKF在高超声速目标跟踪中的应用

针对临近空间高超声速目标高度非线性、强耦合、高机动、时变参数、和独特气动特性等特点,综合运用军事运筹学理论与方法、系统建模技术、神经网络技术以及计算机仿真等,提出基于神经网络校正的扩展卡尔曼滤波(EKF)算法,并在高超声速目标跟踪中进行了应用研究。采取神经网络的学习能力来克服卡尔曼滤波发散问题,通过卡尔曼滤波后加一级误差处理环节使滤波收敛。仿真结果表明:该算法在目标发生较大机动时仍能保持较高的跟踪精度。     

铝(Ⅲ)-桑色素-十二烷基硫酸钠体系在滤纸基质的荧光反应研究及其分析应用

本文探讨了在滤纸基质上表面活性剂SLS对铝-桑色素荧光反应的增敏作用及最佳实验条件。铝含量在0～6.0ng范围的工作曲线呈良好的线性关系(r=0.9998),方法的检测限为0.001ng。含铝4.0ng的溶液11次测定结果的相对标准偏差为4.3％。方法用于含铝水样的测定获得满意结果,回收率为96.0～100.5％。     

卡尔曼滤波析相光度法同时测定锰铁铜锌镉的研究——5-Br-PADAP—Triton X-100体系

运用卡尔曼滤波递推法,以2-(5-溴-2-吡啶偶氮)—5-二乙氨基苯酚(5-Br-PADAP)为显色剂,建立了同时测定锰、铁、铜、锌、镉析相光度法.在pH9.0硼酸-氢氧化钠介质中,胶束溶液在95℃加热1h,配合物被Triton X-100相完全富集,最大吸收峰分别为锰566nm、铁556nm、铜560nm、锌562nm、镉557nm,工作曲线范围除镉为0～8μg/5ml外,其余均为0～10μg/5ml.应用于大米中锰铁铜锌镉的同时测定,结果满意.     

改进的单纯形优化法用于混合稀土的同时测定

本文应用改进的单纯形优化法较好地弥补了目前在分析化学计量学中得到广泛应用的卡尔曼滤波法所存在的不足，交法应用于混合稀土的同时测定中，获得了满意的结果，结果准确度较卡尔滤波法的有显著的提高。     

ICP—AES卡尔曼滤波同时测定铁基体中26种痕量元素

本文利用电感耦合等离子体原子发射光谱（ＩＣＰ－ＡＥＳ）多色仪的扫描功能，用Ｃ语言编制了Ｋａｌｍａｎ滤波程度软件包，用该软件包对铁基体中２６种痕量元素进行了回收率试验，并对标准碳素钢样中１３种痕量元素进行了测定，结果表明Ｋａｌｍａｎ滤波完全适用于复杂谱线基体中的多种元素同时分析。     

一种新的滤纸基质固体表面低温荧光(燐光)测定装置

对自行研制的铜制滤纸基质低温荧光（燐光）测定的样品支架，进行了滤纸基质固体表面低温荧光测定的可行性研究。与同类冷冻装置和室温装置比较，本装置用于滤纸基质固体表面低温荧光（燐光）测定具有以下优点；样品的分析周期大大地缩短，由45min缩短为5-6min；装置简单、便宜耐用；操作简便，简化了室温测定时的滤纸干燥程序，应用范围广，方法的重现性好，检样分析结果的相对标准偏差RSD%小于10%，荧光（燐光）分析灵敏度高，检出限低，线性范围宽。     

A simple optimization strategy based on Rs-minimum and information theory of chromatography

Summary A simple optimization method based on the well-known Rs-minimum method and on the information theory of FUMI Φ is proposed. Resolution (Rs), peak area and height (or width) are the only parameters necessary for the calculation of the information Φ and information flow ϑ. The most precise analysis can be selected as the chromatogram having maximal ϑ. Mobile phase composition, column length, flow rate, detection wavelength, amount of internal standard, etc. can be optimized by this method.