粗铜冶炼中铜锍品位的动态预测模式 —AR（p）与指数平滑最优组合法

提出了一种对铜锍品位进行预测的新方法 ,即以采集的现场数据为基础 ,采用系统辨识动态地建立了AR(p)模型与三次指数平滑模型 .AR(p)模型要求数据对象是平稳时间序列 ,而三次指数平滑模型的数据对象具有随机性 ,考虑到铜锍品位的波动性 ,将 2种模型按最小二乘原理 ,以组合预测误差平方和为目标函数 ,通过使误差平方和极小化来确定 2种预测方法的最优加权系数 ,建立了一种新的组合模型 ,其预测误差最小 .结果表明 ,在当时数据条件下 ,AR(p)与指数平滑组合模型比AR(p)与指数平滑模型单独使用时精确度都要高 ,这对指导生产具有实用意义 .     

干涉型光纤传感器相位生成载波技术研究与改进

对干涉型光纤传感器的相位生成载波解调技术进行了研究.对PGC算法进行了数学推导和仿真计算,对数字低通滤波器进行了详细分析,给出了其影响PGC解调性能的原因及数字滤波器的设计方法.讨论了传感器干涉光强对PGC算法输出结果的影响,提出了改进的PGC算法,该算法可以有效的实现自动增益控制,消除干涉光强漂移对解调的影响,并大大减小由干涉光强引入的系统噪音;还可以在有限阶数低通滤波器的情况下,极大的增加系统可解调的大信号幅度,提高系统动态范围12 dB以上.     

基于Auto CAD的数控自动编程系统中的图形处理

介绍了基于Auto CAD的数控自动编程系统所采用的几何建模方法-线示模型法,以及基本体素的建立和行间距的处理方法。     

Mass‐spectrometry‐directed analysis and purification of pyrrolizidine alkaloid cis/trans isomers in Gynura japonica

Pyrrolizidine alkaloids are highly hepatotoxic natural chemicals that produce irreversible chronic and acute hepatotoxic effects on human beings. Purification of large amounts of pyrrolizidine alkaloids is necessary for toxicity studies. In this study, an efficient method for targeted analysis and purification of pyrrolizidine alkaloid cis/trans isomers from herbal materials was developed for the first time. Targeted analysis of the hepatotoxic pyrrolizidine alkaloids was performed by liquid chromatography with tandem mass spectrometry (precursor ion scan and daughter ion scan), and the purification of pyrrolizidine alkaloids was achieved with a mass‐directed auto purification system. The extraction and preparative liquid chromatography conditions were optimized. The developed method was applied to analysis of Gynura japonica (Thunb.) Juel., a herbal medicine traditionally used for detumescence and relieving pain but is potentially hepatotoxic as it contains pyrrolizidine alkaloids. Twelve pyrrolizidine alkaloids (six cis/trans isomer pairs) were identified with reference compounds or characterized by liquid chromatography with tandem mass spectrometry, and five individual pyrrolizidine alkaloids, including (E)‐seneciphylline, seneciphylline, integerrimine, senecionine, and seneciphyllinine, were prepared from G. japonica roots with high efficiency. The results of this work provide a new technique for the preparation of large amounts of pyrrolizidine alkaloid reference substances, which will also benefit toxicological studies of pyrrolizidine alkaloids and treatments for pyrrolizidine alkaloid‐induced toxicity.     

画法几何试题库系统的研究与开发

通过ＡｕｔｏＣＡＤ环境内部的菜单件与Ａｕｔｏ Ｌｉｓｐ语言的混合编程方法，研究了画法几何试题库系统的设计方法。     

批量修改线宽方法的探讨

为解决计算机在绘图中很难调整线宽的问题，探索出了批量修改线宽的AutoLISP程序，以及在光栅打印机上设定笔宽和线型的方法。     

模具CAD/CAM系统的研究

在AutoCAD平台上，研究集零件设计、自动数控编程、数据库及程序管理为一体的模具CAD／CAM系统，为模具的自动设计与制造提供了一种简单有效又实用的途径．     

光纤近场测量中自动聚焦系统的研究

在用近场法测量光纤几何尺寸时,关键在于调节光学系统,获得优质的光纤近场图象.而要使这样的测量系统实现自动化,关键在于寻找图象是否清晰的适当判据,继而构成自动调节与控制的闭环反馈系统.本文介绍了利用信息熵判别函数,可以较好地判断图象质量,从而实现了自动调焦和自动测量.     

An adaptive network based fuzzy inference system–auto regression–analysis of variance algorithm for improvement of oil consumption estimation and policy making: The cases of Canada,United Kingdom,and South Korea

This paper presents an adaptive network based fuzzy inference system (ANFIS)–auto regression (AR)–analysis of variance (ANOVA) algorithm to improve oil consumption estimation and policy making. ANFIS algorithm is developed by different data preprocessing methods and the efficiency of ANFIS is examined against auto regression (AR) in Canada, United Kingdom and South Korea. For this purpose, mean absolute percentage error (MAPE) is used to show the efficiency of ANFIS. The algorithm for calculating ANFIS performance is based on its closed and open simulation abilities. Moreover, it is concluded that ANFIS provides better results than AR in Canada, United Kingdom and South Korea. This is unlike previous expectations that auto regression always provides better estimation for oil consumption estimation. In addition, ANOVA is used to identify policy making strategies with respect to oil consumption. This is the first study that introduces an integrated ANFIS–AR–ANOVA algorithm with preprocessing and post processing modules for improvement of oil consumption estimation in industrialized countries.     

气相色谱仪的两种液体样品自动进样器的兼容设计与研制

设计和构建了多轴多模式、闭环伺服控制系统的研发平台,实现了用于气相色谱仪的不同结构的两种液体自动进样器的并行设计与研制。基于兼容与互换的思路,开发出一体化嵌入式控制驱动模块,采用相同的直流电机、编码器,电气与机械接口统一标准,实现了上述组件在两种机型间的直接代换。研制的标准型110个样品位和平台型40个样品位两种液体自动进样器,与气相色谱仪联机,采用1μL手动进样针,对于0.5μL十六烷-异辛烷标准液体样品,6个不同瓶位连续6次进样测试,重复进样的信号峰面积RSD分别为1.1%和1.5%,取0.1,0.3,0.5,0.7和0.9μL进样,峰面积与进样量的线性相关系数为0.9947。