wu2012

article on how to write a thesis

说明：  虚拟仪器代表着目前测试仪器领域的发展方向，LabⅥEw语言是一种功能强大的仪器开发平台。对淹没在噪声中声发射信号的有效提取(去噪)是声发射信号处理技术的第一步，也是声发射信号处理的关键所在。本文介绍了基于小波变换的阈值去噪方法。在LabⅥEw平台上，通过仿真试验，对声发射信号的几种阈值法的去噪结果进行比较，选出一种适合声发射信号去噪的阈值准则。(Virtual instrument on behalf of the current developments in the field of testing equipment direction, Lab Ⅵ Ew language is a powerful development platform apparatus. Submerged in the noise of the acoustic emission signal in the effective extraction (denoising) is the acoustic emission signal processing technology, a first step, the acoustic emission signal processing is the key. In this paper, based on wavelet transform thresholding denoising method. Lab Ⅵ Ew in the platform through the simulation of acoustic emission signals of several denoising threshold method for comparison of results to elect a suitable acoustic emission signal de-noising threshold criteria.)

kalman的经典介绍文章，附带文章中实际例子的原程序．(kalman introduction of the classic article, with practical examples in the article)

马铁犹-计算流体动力学，一本介绍CFD很好的书，希望大家有用(Ma Teyou-CFD, hope the book can help you.)

针对STK（Satellite Tool Kit）软件在军事任务可视化仿真领域中的广泛应用，为充分挖掘 其显示潜能，重点解决了影响其三维场景构建的瓶颈问题，即三维场景数据格式的转换和数据的获取 优化。在分析构建STK 三维场景所需要素及其作用的基础上，分别对地形、地表纹理、三维模型和GIS 等四类数据格式进行分析，并利用多种辅助软件，系统地提出了由较通用格式数据向STK 所支持格式 数据的转换方法，以及在对各类原始数据的获取和转换过程中出现的问题进行处理的优化方法。最后通过实例验证表明该数据格式转换方法和数据优化方法行之有效，三维场景显示效果逼真。(STK (Satellite Tool Kit) software widely used in the field of military tasks, visual simulation, to fully tap its display potential, focus on resolving the bottlenecks that affect the construction of the three-dimensional scene, 3D scene data format conversion and data Get optimization. On the basis of the required elements and their role in the analysis of building STK three-dimensional scene analysis, respectively, of the four types of terrain, surface texture, three-dimensional model and GIS data format and use a variety of assistive software, the system proposed by the more common format The data support the format of the data to STK conversion method, as well as access to various types of raw data and conversion process issues deal with the optimization method. Finally, an example to show that the data format conversion method and data optimization method is effective, realistic three-dimensional scene display.)

风电潮流的波动会引起并网系统公共连接点（PCC）电压的波动。在基于电压源换流 器的高压直流输电（VSC-HVDC）交直流混合风电场并网系统中，控制VSC-HVDC 送端站注入 到PCC 点的无功功率可以抑制电压波动。本文讨论了VSC-HVDC 的无功功率控制器和定电压控制 器抑制电压波动的原理。基于电磁暂态软件PSCAD/EMTDC 建立了并网风电场模型、VSC-HVDC 模型及控制系统模型。仿真结果表明VSC-HVDC 采用定电压控制器的并网系统能更好的抑制电 压波动，采用无功功率控制器的系统具有较好的风电场并网性能。(Reactive power variation of integration wind farm may cause point of common coupling （PCC） voltage fluctuation. In hybrid wind farm integration system based on HVDC of voltage source converter （VSC-HVDC）, the voltage fluctuation can be alleviated by compensating reactive power to PCC from VSC-HVDC sending end. Therefore, the reactive power controller and the stable voltage controller to alleviate voltage fluctuation are studied in the paper. The integration wind farm, VSC-HVDC and their controller models are set up by PSCAD/EMTDC. The simulation results show that the integration system adopted stable voltage controller has a better performance to alleviate voltage fluctuation. However the system adopted reactive controller has a good wind farm integration capability.)

m2m_sigmetrics12 物联网流量(m2m_sigmetrics12 M2M TRAFIC)

本文是研究教学资源标准化建设的相关研究,值得大家学习研究！(Effect of standardized resource construction on computer technology
based teaching results)

光大证券--金融工程-股指期货量化交易策略研究：枢轴突破策略(Everbright Securities- financial engineering- Stock index futures quantify Trading Strategies: Pivot breakthrough strategy)

This paper presents a clustering approach which estimates the specific subspace and the intrinsic dimension of each class. Our approach adapts the Gaussian mixture model framework to high-dimensional data and estimates the parameters which best fit the data. We obtain a robust clustering method called High- Dimensional Data Clustering (HDDC). We apply HDDC to locate objects in natural images in a probabilistic framework. Experiments on a recently proposed database demonstrate the effectiveness of our clustering method for category localization.