基于Android平台的煤矿无线调度系统的设计与实现

为了能在手机上随时查询煤矿信息,结合山西煤矿现状,开发了一个基于Android平台的煤矿无限调度软件。对该软件进行了系统分析,给出了功能设计与所实现的部分功能,包括生产实时数据监控类、人员/设备位置定位类、报表数据查看类等。     

试论建筑的形象与意境功能

论述了建筑的形式美，建筑的形象功能，建筑的意境功能的内容和涵意以及形象和意境在城市生活环境的体现。     

特高压交流输电线路有源电视干扰特性

高压交流输电线路电晕或间隙放电会产生电视频段的电磁干扰(TVI)。针对目前国内外对于高压线路特别是特高压交流线路产生的TVI研究匮乏的情况,在介绍国外TVI特性测试方法的基础上,提出了高压交流输电线路TVI的测试方法。在好天气条件下,对我国某特高压交流试验示范工程线路直线档距及耐张塔周边区域带电前后的电视画面状况、TVI场强、电视信号场强进行了多次测试,分析了该线路周边电视画面受干扰特征。结果表明:好天气下,特高压单回线路TVI场强随离边相外距离增加呈负指数衰减。分析认为,国外仅采用CISPR准峰值(QP)检波方式来评估TVI引起的电视画面干扰情况值得商榷。     

三角域曲面的TPIFS模型分形逼近

提出了一种三角域上逼近具有分形特征的自然复杂曲面和普通光滑曲面的统一数学模型．该模型是迭代函数系统与传统自由曲面造型的一种结合,文中给出的定理证明了它可以逼近任意三角域上的连续函数．模型的主要用途是曲面造型、形状描述及压缩．     

基于Web service的系统集成技术在电子政务中的应用

Web service是Internet上新兴的应用通信和集成技术,本文先简单介绍了XML和Web service技术,然后着重讨论了基于Web service的系统集成技术的特点和优势,以及通过实际的开发实例介绍了基于Web service的系统集成技术在电子政务系统中的应用.     

A Gaussian-based kernel Fisher discriminant analysis for electronic nose data and applications in spirit and vinegar classification

Fisher discriminant analysis (FDA) is a very useful pattern recognition technique widely used in electronic nose system (e-nose). However, due to its linear characteristic, the classification problems of multi-class and high-dimensional e-nose data cannot be handled effectively. Therefore, a Gaussian-based kernel FDA (KFDA) method is proposed to solve multi-class and high-dimensional classification problems of complex samples such as food classification using e-nose. The key point of the method is how to determine the Gaussian kernel parameter. Firstly, according to distance discriminant analysis viewpoint, a desired kernel matrix adapted to Gaussian kernel function can be given successfully. Secondly, an evaluation function based on Euclidean distance is established for measuring the degree of approximation between actual kernel matrix containing an unknown Gaussian kernel parameter and the desired kernel matrix so as to get an optimal solution of the parameter, and then the actual kernel matrix can be definitely determined. Finally, the principal component analysis (PCA) for the actual kernel matrix is carried out. Meanwhile, FDA for the principal component matrix generated by PCA is also implemented in succession, and the KFDA is completed. Six kinds of Chinese spirit and six kinds of Chinese vinegar samples as two classification applications were respectively carried out accurately with the KFDA method; and the KFDA method is tested to be very simple and effective. The KFDA method may be promising for complex samples classification dataset of e-nose.     

A Mathematical Model for Vacuum Far-Infrared Drying of Potato Slices

A mathematical model of mass and heat transfer for vacuum far-infrared drying of potato slices is introduced in this study on the basis of energy and diffusion equations. The finite difference method is used to mathematically simulate the sample temperature and moisture content in different drying conditions. Calculated results are compared with the experimental findings at varying conditions of heater temperature (120°C, 140°C, and 160°C), chamber pressure (1500, 8000, and 15000 Pa), sample thickness (0.004, 0.006, and 0.008 m), and radiation distance (0.08, 0.12, and 0.16 m). Comparison results show that the model fits well the changes in sample temperature and moisture content at different times of drying, with the values of the coefficient of determination close to 1.0 and the relative error values less than 10%.     

A selection method for feature vectors of electronic nose signal based on wilks Λ–statistic

There are mainly two selection methods for different features of electronic nose (E-nose) which is used to identify different samples, namely visual inspection and correct rate of discrimination result. The visual inspection is not a quantitative method. Besides, when the correct rates of discrimination result are identical for different features, the identification difference of different features is not evaluated accurately and quantitatively. To get a better feature vector for identifying different samples, a selection method was studied in-depth in which Wilks Λ–statistic was employed as a selection index for different features. At the same time, three different kinds of Chinese vinegar and three of Chinese milk were taken and tested by an E-nose. Five different features were extracted from the E-nose signals which are variance value (VARV), integral value (INV), mean value of relative steady-state responses (MVRSR), mean-differential coefficient value (MDCV) and energy value of wavelet packet decomposition (WE). The best feature vectors of these five features were obtained using the selection method and its effectiveness was respectively proved by the visual inspection and Fisher discriminant analysis (FDA) correct rate of vinegar and milk samples.     

滚动压印装置研制与压印填充模拟

紫外滚动压印因其可以在室温下、普通大气环境中高效大面积地进行微结构制作而备受瞩目.利用自行研制的紫外滚动压印装置,实现了微结构的快速复制.实验中发现当压印速度达到某一特定值时,会不可避免地产生气泡缺陷.采用流体软件Fluent对滚动压印充填过程进行分析,来研究气泡缺陷的产生机理.结果表明,压印速度过高导致空气被堵在图形空腔内,最终形成气泡缺陷.同时,低黏度的胶液和小的接触角更利于模型填充.此研究对于获得优化的滚动压印工艺具有一定的意义.