1FISTA

Async Motor Vector Control

Web数据挖掘(世界著名计算机教材精选),作者BingLiu刘冰 刘兵(BingLiu)，伊利诺伊大学芝加哥分校(UIC)教授，他在爱丁堡大学获得人工智能博士学位。刘兵教授是Web挖掘研究领域的国际知名专家，在Web内容挖掘、互联网观点挖掘、数据挖掘等领域有非常高的造诣，他先后在国际著名学术期刊与重要国际学术会议(如KDD、WWW、AAAI、SIGIR、ICML、TKDE等)上发布关于数据挖掘、Web挖掘和文本挖掘论文一百多篇。刘兵教授担任过多个国际期刊的编辑，也是多个国际学术会议(如WWW、KDD与AAAI等)的程序委员会委员。 本书旨在阐述web数据挖掘的概念及其核心算法，使读者获得相对完整的关于web数据挖掘的算法和技术知识。本书不仅介绍了搜索、页面爬取和资源探索以及链接分析等传统的Web挖掘主题，而且还介绍了结构化数据的抽取、信息整合、观点挖掘和Web使用挖掘等内容，这些内容在已有书籍中没有提及过，但它们在Web数据挖掘中却占有非常重要的地位。全书分为两大部分：第一部分包括第2章到第5章，介绍数据挖掘的基础；第二部分包括第6章到第12章，介绍Web相关的挖掘任务。 (Web data mining (world-renowned computer materials selection), the authors BingLiu Liu Bing Liu Bing (BingLiu), University of Illinois at Chicago (UIC) professor, Ph.D. in Artificial Intelligence at Edinburgh University. Professor Liu Bing is the field of Web mining research internationally renowned expert in Web content mining, Internet, view mining, data mining and other areas have very high attainments, he worked in internationally renowned academic journals and major international conferences (such as KDD, WWW, AAAI, SIGIR, ICML, TKDE, etc.) on the release of data mining, Web mining and text mining papers more than a hundred articles. Professor Liu Bing served as editor of several international journals, but also a number of international conferences (such as WWW, KDD and AAAI, etc.) of the Program Committee. This book seeks to explain the concept and web data mining of the core algorithm, so that readers gain a relatively complete information on web data mining algorithms )

说明：  一篇介绍adhoc网络中DSR,AODV，DSDV协议的比较的文章，包括源代码和性能分析，(ADHOC networks introduced a DSR, AODV, DSDV protocol comparison article, including source code and performance analysis,)

Information technology—Portable Operating System Interface (POSIX),本文档为POSIX标准(Information technology-PortableOperating System Interface (POSIX), this document for the POSIX standard)

本文在分析城市交通信号控制研究现状和交叉口交通信号控制原理、评价方 法的基础上，设计了单交叉口交通信号两级模糊控制系统。分级模糊控制能有效 减少模糊规则数，易于提取模糊规则，适合于交通状况复杂的城市交叉口交通信 号控制。但它存在难以由人工合理定义全部模糊隶属度函数的问题。为此本文进 一步采用遗传算法对两级模糊控制器中模糊隶属度函数进行优化。本文提出的方 法具有分级模糊控制的优点，同时可以使模糊隶属度的选取更为合理，获得更好 的控制效果。对一个四相位单交叉口，利用MATLAB在不同的交通条件下进行 了仿真，并利用交通仿真软件PARAMICS进行了可视化仿真。仿真结果表明该 方法能有效降低通行车辆在交叉口的平均等待时间，明显优于传统控制方法(After analyzing the city-traffic developments,the grade crossings control theory its method of evaluation,the paper designs a traffic signal two-stage fuzzy control tem for single intersection.Two-stage fuzzy controller,which is easy to acquire zy rules and can greatly decrease the number of fuzzy rules,is very suitable to plex urban intersection control.But it still presents a difficulty for deciding all the bership functions correctly only by human experience.Therefor,to solve this blem,a technique using genetic algorithm to modify its fuzzy membership ctions is proposed.This method not only possesses the advantages of hierarchical zy control,but also can change its membership functions adaptively to an optimal ing in different traffic situations as well,and in this way the currency power of the an intersection is improved.For a single urban intersection with four-phase, ulation of different traffic condition is processed by using MATLAB.Moreover, ble simulation is proce)

关于研究电力规划需求的文章，对做电力电网规划项目的人十分有用，比如电网概况，电网规划和重要电网指标分析等。(The Document is about Inner Mongolia Power Grid,which is usefull for the Needs analysis pepole,for example basic Grid,grid planning and Important index... )

提出了一种认知无线网络的异构网络融合的研究方案。该方案采用了具有可重构能力的基站设备和多频段多模式终端设备 , 采用复用的方式来达到多频段变换的目的 , 并最终提高无线资源利用效率。以中间件的方式来实现各种通信模式的融合和切换 , 并设计了基站分布式天线 , 来满足更大的负载或更 高的业务质量需求。建立了一个基于软件无线电的终端系统 , 该终端的优点在于其可以工作在多个频段之上 , 并且可以自适应的工作在多种不同模式的网络中。(cognitive wireless networks in)

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.)

Literature Review on Linguistic Fuzzy Neural Models. It can be very useful for Fuzzy Nural network based application.

本PPT着重研究了当前手游行业推广渠道的各种方式以及每种方式的利弊(The PPT focuses on the current hand travel industry marketing channels as well as the various ways the pros and cons of each approach)