传感器网络

Palm Vein Authentication System: A Review by Ishani Sarkar, Farkhod Alisherov, Tai-hoon Kim, and Debnath Bhattacharyya

基于生物地理学优化的多UCAV协同航迹规划(Cooperative Path Planning for Multi-UCAV Based on Biogeography Based Optimization)

itroduce tgh sensors and config it

提出一种新颖的高效率六开关逆变器(H6)拓扑，解决了无变压器单相光伏并网逆变器漏电流问题。 仿真与实验验证了该拓扑具有低共模电压、高质量的并网波形和高效率特征(This paper proposed a novel, high efficiency, transformerless single phase photovoltaic grid-connected inverter with six active switches that alleviate leakage current issue. This topology embeds two unidirectional freewheel units into the midpoint of a full bridge inverter, which provide novel freewheel paths and separate battery cells a grid during freewheeling time. )

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

CORBA Learn by yourself in 14 days CORBA（通用对象请求代理体系结构)是在当今快速发展的软件与硬件资源的情况下发展出的一种新技术。它可以让分布的应用程序完成通信， CORBA 2.0标准才真正实现了不同生产厂商间的互操作性。 (The CORBA Learn by yourself in 14 days CORBA (Common Object Request Broker Architecture) is a new technology developed in the case of today' s rapid development of software and hardware resources. It allows the distribution of the completion of the application communication CORBA 2.0 standard really achieve interoperability between different manufacturers.)

说明：  面向主动服务模式的政务智能系统框架研究,很好的东西，请您审一下，(active service-oriented model of the Chief Intelligence Framework, the good things you about the trial, huh)

求解变分不等式的两种外梯度算法对比。包括一种修正的外梯度法及其优化方法。(Solving Variational Inequality gradient algorithm for comparison of two things. Including an amendment to the outer gradient method and its optimization.)

说明：  飞行学院信息化建设的探讨与总结，希望对别的学校有所帮助(Flight School information construction discussion and conclusion, want to help other schools)

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 )