measuring acoustic wave transit time in furnace based on active acoustic source signal

Accurate measurement of transit time for acoustic wave between two sensors installed on two sides of a furnace is a key to implementing the temperature field measurement technique based on acoustical method. A new method for measuring transit time of acoustic wave based on active acoustic source signal is proposed in this paper, which includes the followings: the time when the acoustic source signal arrives at the two sensors is measured first; then, the difference of two arriving time arguments is computed, thereby we get the transit time of the acoustic wave between two sensors installed on the two sides of the furnace. Avoiding the restriction on acoustic source signal and background noise, the new method can get the transit time of acoustic wave with higher precision and stronger ability of resisting noise interference.

Capillary electrophoretic study on UDP-sugars in cells

Glucose is an important regulator of cell growth and metabolism. Uridine diphosphate sugars (UDP-sugars), as the intermediate products of metabolism, play pivotal roles as precursors in the synthesis of complex carbohydrates and glycolipids as well as lectose. It is very important to study their metabolism in cells in clinical biochemistry. A capillary electrophoretic method has been developed for the analysis of UDP-sugars and nucleotides, By using an uncoated capillary (70cm x 50 mu m) and 20 mmol/L borax buffer (pH 9), 4 important UDP-sugars can be analyzed in 15 min at 22 kV with satisfactory precision and sensitivity. The developed method has been applied to analyze UDP-sugars concentrations in lymphocytes, fibroblasts and mesangial cells, and the results show it not only is much better than HPLC method, but also can be used to measure the energy charge of cells.

A spatial sampling optimization package using MSN theory

The density and distribution of spatial samples heavily affect the precision and reliability of estimated population attributes. An optimization method based on Mean of Surface with Nonhomogeneity (MSN) theory has been developed into a computer package with the purpose of improving accuracy in the global estimation of some spatial properties, given a spatial sample distributed over a heterogeneous surface; and in return, for a given variance of estimation, the program can export both the optimal number of sample units needed and their appropriate distribution within a specified research area. (C) 2010 Elsevier Ltd. All rights reserved.

Study of remote sensing based parameter uncertainty in Production Efficiency Models

The remote sensing based Production Efficiency Models (PEMs), springs from the concept of "Light Use Efficiency" and has been applied more and more in estimating terrestrial Net Primary Productivity (NPP) regionally and globally. However, global NPP estimates vary greatly among different models in different data sources and handling methods. Because direct observation or measurement of NPP is unavailable at global scale, the precision and reliability of the models cannot be guaranteed. Though, there are ways to improve the accuracy of the models from input parameters. In this study, five remote sensing based PEMs have been compared: CASA, GLO-PEM, TURC, SDBM and VPM. We divided input parameters into three categories, and analyzed the uncertainty of (1) vegetation distribution, (2) fraction of photosynthetically active radiation absorbed by the canopy (fPAR) and (3) light use efficiency (e). Ground measurements of Hulunbeier typical grassland and meteorology measurements were introduced for accuracy evaluation. Results show that a real-time, more accurate vegetation distribution could significantly affect the accuracy of the models, since it's applied directly or indirectly in all models and affects other parameters simultaneously. Higher spatial and spectral resolution remote sensing data may reduce uncertainty of fPAR up to 51.3%, which is essential to improve model accuracy.

复方板蓝根颗粒水提部位的ESI-MS指纹图谱研究

Sialic acid and lysine as an internal standard substance,the ESI-MS fingerprinting of extracts of Compound Indigowoad Root Granule which from different origin was studied.The fingerprinting was obtained with better precision and reproducibility.This work can provide a reference for the quality control of Compound Indigowoad Root Granule.

Determination of diphenhydramine by capillary electrophoresis with tris(2,2 '-bipyridyl)ruthenium(II) electrochemiluminescence detection

Tris(2,2'-bipyridyl)ruthenium(II) electrochemiluminescence detection in a capillary electrophoresis separation system was used for the determination of diphenhydramine. In this study, platinum disk electrode (300 mum in diameter) was used as a working electrode and the influence of applied potential and buffer conditions were investigated. Under optimal conditions: 1.2 V applied potential, pH 8.50, 15 kV separation voltage and 10 mmol l(-1) running buffer, the calibration curve of diphenhydramine was linear over the range of 4 x 10(-8) to 1 x 10(-5) Mol l(-1). This technique gave satisfactory precision, and relative standard deviations of migration times and chemiluminescence peak intensities were less than 1 and 6%, respectively. The technique was applied to animal studies for determination of diphenhydramine extracted from rabbit plasma and urine samples, and the extraction efficiency were between 92 and 98.5%.

Donut-shaped spray chamber for inductively coupled plasma spectrometry

A donut-shaped spray chamber has been developed for the introduction of aerosol and/or volatile chemical species into the inductively coupled plasma. Compared with the Fassel-Scott spray chamber, it gives a higher efficiency of aerosol generation and transportation and superior stable inner pressure. As a result, it brings the benefits of higher intensity signal, lower background, higher measurement precision, and better detection limits. Using:his spray chamber, it is more convenient to introduce volatile chemical species into the sampling system, and more flexible for the choice of introducing aerosol and volatile chemical species separately or simultaneously into the plasma. It is also suitable for FIA technique. (C) 1998 Elsevier Science B.V. All rights reserved.

复方治疗慢性肾衰海洋新药的初步研究

该论文在褐藻多糖硫酸酯已有研究工作的基础上,参考中药治肾病领域有关文献,结合中医药理论,组方成治疗慢性肾衰复方海洋新药-复方褐藻多糖硫酸酯,并进行了复方褐藻多糖硫酸酯的部分药学、初步药效学和急性毒性试验的研究.

平面自由运动半物理仿真系统的初始条件实现

提出了一种平面自由运动半物理仿真系统的设计,对系统仿真试验的初始条件形成过程进行了具体阐述。系统中应用了一种平面两自由度直角坐标运动装置,用于完成系统驱动及速度和位置控制,同时这种运动装置能够进行直角坐标跟随运动,并与其末端测量机构共同实现对平面自由运动物体的高精度大范围位姿测量。建立了系统的运动学模型,并设计相应的控制算法实现试验所需的运动过程,采用半闭环和闭环相结合的方法有效控制系统的末端累积误差;针对提出的复合测量方法,建立了测量原理的数学模型,并进行了精度分析和仿真计算。实验证明这种设计和相应的控制测量方法合理可行。

一种平面运动位姿的并联组合测量方法研究

基于特殊的测量环境需要,提出了用于平面运动位姿测量的并联组合测量方法。介绍了并联组合测量方法的测量机构组成和测量原理,并进行了可行性论证;通过建立误差模型,对几何误差源与原始测量参数的映射关系及其对最终位姿测量误差的影响进行了分析,仿真结果和实际应用测量数据验证了分析的正确性。所述并联组合测量方法构思新颖,结构合理,适用于具有一定特殊测量条件的高精度平面大范围运动过程位姿测量。如果在工程应用中有效地控制几何误差源的影响,该方法则具有一定的推广应用价值。

基于测角的自主移动机器人定位算法

给出了自主移动机器人定位的两种算法：解析算法和数值算法。解析法公式较以往的简洁。数值算法结合解析法和高斯－牛顿算法，不仅能避免因初值选取不合理而导致求解过程发散的问题，而且能提高运算精度和速度，通过对两种算法的计算机仿真，表明了解析算法具有运算速度快，而数值算法精度高的特点。其结果已用于自主移动机器人的研制中。

基于模型扰动抑制的直线伺服系统设计

针对高精度、微进给永磁直线交流同步电机 (PMLSM )驱动系统 ,采用基于模型的扰动抑制 (MBDA)方法 ,对诸如摩擦力、切削力、负载变动之类的扰动进行抑制。MBDA是利用一个与系统并行的标称模型 ,通过输出反馈 ,将系统输出与标称模型输出进行比较 ,得出误差信号 ,并通过设计一个补偿器将误差信号反馈给被控对象的输入端 ,从而实现扰动抑制。同时 ,针对速度环设计了积分 -比例 (IP)控制器 ,以满足系统快速跟踪指令的要求 ,并且其具有较强的抗扰动能力。仿真结果表明 ,该控制方法响应速度快 ,抗干扰能力强

基于视觉的机器人轨迹误差测量技术

提出了一种基于视觉的机器人轨迹精度测量系统,该系统以计算机视觉为基础,结合激光测量等技术,可实时测量机器人的运动轨迹误差.完成了高精度图像快速采集与处理、系统标定、三维计算及计算结果可视化等关键技术研究及系统研制工作,并在机器人上进行了实验,大量的实验表明,该系统的测量精度和速度均可满足机器人的轨迹测量的需要.

AUV定位信号检测延时的蒙特卡洛模拟分析

在简要介绍AUV声学定位声纳接收机原理基础上,分析了CW脉冲信号在极性相关检测电路中的传输过程,建立了极性相关积分检测延时仿真分析模型。提出采用蒙特卡洛模拟方法获取检测延时的分布特征和统计参数的观点。实验结果表明蒙特卡洛模拟实验与硬件电路实验结果一致,对于解决随机性检测延时问题具有很强的能力。获得的结果可为AUV定位声纳检测门限的设定、声学测距和定位精度分析以及水声通信延时分析提供参考。

基于超短基线/多普勒的水下机器人位置估计

为解决深海复杂环境下采用水声定位系统实现水下机器人位置控制所带来的反馈信号延迟问题 ,提出了基于 USBL/Doppler的水下机器人位置估计算法 .文中首先根据导航系统确定卡尔曼滤波器结构并建立了系统的状态方程和观测方程 ,同时 ,为了提高估计精度 ,引入自适应卡尔曼滤波理论 ,以降低系统对环境和初始噪声估计精度的敏感性 .最后通过数字仿真验证了算法的有效性 ,并给出了结论