DBC-偶氮胂光度法测定人发中微量铋

ＤＢＣ－偶氮胂对铋的灵敏度较高且选择性好，在０．２－１．０ｍｏｌ／Ｌ硝酸介质中与Ｂｉ形成配位比为１：２的紫红色配合物，λｍａｘ＝６３０ｎｍ，ε６３０＝８．８×１０＾４Ｌ．ｍｏｌ＾－１．ｃｍ＾－１。铋量在０－＝１０μｇ／１０ｍＬ范围内符合比耳定律。用于人发中微量的铋的测定，操作简便，结果满意。     

基于正则表达式与多叉树的DBC网络协议解析方法

为解决CAN网络下DBC （database CAN）协议数据解析和结构表征问题,通过正则表达式解析了DBC文件协议信息,利用多叉树结构,对CAN网络协议信息进行结构表征。针对Intel和Motorola不同格式下的协议解析问题,提出了报文数据场的信号色块表示方法以及起始位转换公式。基于C#语言设计和开发了CAN网络数据管理软件,并将CAN网络协议以DBC数据管理文件输出。用实车试验验证了所提出DBC协议解析方法的有效性。     

Liquid membranes for gas/vapor separations

A review on developments of liquid membranes (LMs) in the field of gas and vapor separation of the last 16 years is presented. Liquid membrane configurations employing supports, i.e. immobilized, supported and contained liquid membranes are focussed and detailed information on the respective materials, i.e. supports (supplier, type, thickness, pore width, porosity, tortuosity), liquids and carriers, are presented together with their specific separation tasks. Performance of different LMs in terms of permeability and selectivity as well as stability (duration of testing, applied differential pressures) are compared and discussed. Finally, different preparation methods of LMs are illustrated.     

Review of recent advances in the preparation of organic polymer monoliths for liquid chromatography of large molecules

In recent years the use of monolithic polymers in separation science has greatly increased due to the advantages these materials present over particle-based stationary phases, such as their relative ease of preparation and good permeability. For these reasons, these materials present high potential as stationary phases for the separation and purification of large molecules such as proteins, peptides, nucleic acids and cells. An example of this is the wide range of commercial available polymer-based monolithic columns now present in the market.     

铬(Ⅵ)-DBC-HNO_3催化动力学光度法测定痕量铬(Ⅵ)

在硝酸介质中,痕量铬(VI)能灵敏的催化氧化DBC褪色。研究了反应的最佳条件,建立了测定痕量铬(VI)的新方法。检出限可达10-9g/ml,测定范围为0.12-0.7μgCr(VI)/10ml,方法简便、灵敏、快速、准确。用于测定水中的痕量铬(VI),获得了满意的结果。     

基于分形脊波神经网络的遥感图像分类研究

在分形理论和脊波神经网络的基础上，综合利用彩色遥感图像的光谱、纹理和形状特征，提出了一种彩色遥感图像的分类新方法．该方法把彩色图像的蓝、绿、红波段作为3个光谱特征，由分形理论计算的DBC维和多重分形维数作为2个纹理特征，平均不变矩作为1个形状特征，并利用对曲线具有极强方向识别能力的脊波神经网络作为分类器．实验结果表明，提出的彩色遥感图像分类方法具有较高的分类准确率和较强的抗噪音能力．     

利用ASP存取各种常用类型数据库

本文讨论利用ASP存取DBF、DBC、MDB、Excel、SQL Server型数据的方法及函数实现,最后给出一个利用本文提供的函数存取Excel型数据库的例子,对企事业数据重用及共享具有很强的实际意义.     

偶氮氯膦—DBC光度法测定银合金中镨

研究提出镨 ( ) - DBC-偶氮氯膦 -磷酸 - EDTA新体系光度法测定贵金属合金中微量镨。反应体系生成 α型蓝色配合物的 λmax=650 nm,灵敏度高 ,摩尔吸光系数 ε=0 .93× 1 0 5L·mol-1·cm-1,镨浓度在 0～ 50 μg/2 5ml范围内符合比耳定律 ,方法选择性强 ,有较好的适用性 ,用于分析银合金中镨 ,标准偏差 S≤ 0 .0 1 1 ,相对标准偏差 RSD≤ 1 .97%。     

An improved box-counting method to estimate fractal dimension of images

Fractal dimension (FD) reflects the intrinsic self-similarity of an image and can be used in image classification, image segmentation and texture analysis. The differential box-counting (DBC) method is a common approach to calculating the FD values. This paper proposes an improved DBC-based approach to optimizing the performance of the method in the following ways: reducing fitting errors by decreasing step lengths, considering under-counting boxes on the border of two neighboring box-blocks and making better use of all the pixels in the blocks while not neglecting the middle parts. The experimental results show that the fitting error of the new method can be decreased to 0.012879. The average distance of the FD values is decreased by 16.0/% in the divided images and the average variance of the FD values is decreased by 30/% in the scaled images, compared with other modified methods. The results show that the new method has a better performance in the recognition of the same type of images and the scaled images.