MFSKsymblerate

无线覆盖市场月度监测报告、行业发展报告文件(monthly monitoring report)

弹片机介绍体积小、集成度高、可靠性好且易于扩展 具有较强的中断处理能力 高性能价格比 功能强、效率高的指令系统 低功耗、低电压 (Shrapnel machine introduced small size, high integration, reliability and easy expansion of the interrupt handling has a strong capacity to powerful high-cost-effective and efficient instruction system low-power, low voltage)

This document describes how to change Mozilla FireFox browser so that it does not maintain a history of the URL s [web sites] that you visit.

ReWorks嵌入式实时操作系统和ReDe嵌入式软件开发环境(ReWorks ReDe)

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 )

半二次优化算法，研究。软阈值公式推导。最早的一篇论文。非常有参考价值。(Half-quadratic optimization algorithms, research. Soft threshold formula derivation. The earliest paper. Very valuable reference.)

该论文介绍了云计算环境下的资源调度方法。(this paper introduces the resource scheduling in cloud computing environment)

rtklib 版本2.4.1 An Open Source Program Package for GNSS Positioning 日本开源网站上提供的关于GPS卫星数据解算的程序。All of the executable binary APs for Windows are included in the package as well as whole source programs of the library and the APs. * For real-time PPP, EUREF and IGS have already started to distribute real-time satellite orbit and clock as RTCM v.3 SSR messages via NTRIP. To receive the real-time satellite orbit and clock, users have to make registration and get an account to access the NTRIP broadcasters. Refer BKG GDC site http://igs.bkg.bund.de/ntrip/index for details. (All of the library functions and APIs are written in ANSI C (C89). The library internally uses standard socket and pthread for Linux/UNIX or winsock and WIN32 thread for Windows. By setting compiler option-DLAPACK or-DMKL, the library uses LAPACK/BLAS or Intel MKL for fast matrix computation. The console APs are also written in standard C. The library and console APs can be built on many environments like gcc on Linux. The GUI APs are written in C++ and utilize Borland VCL for the GUI toolkit. All of the executable binary APs in the package were built by free edition Borland Turbo C++ 2006 (http://www.turboexplorer.com)* on Windows. The binary APs were tested on Windows XP SP3 32bit and Windows 7 SP1 64bit. The console APs are also built and tested on Ubuntu 9.04 Linux. )

用于无线通信系统越区切换理论的研究，高速铁路环境下越区切换的研究。(Handoff for wireless communication systems theory studies, a high-speed railway environment handoff.)

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.)