Hybrid SVM／HMM Method for Face Recognition

A face recognition system based on Support Vector Machine(SVM) and Hidden Markov Model (HMM) has been proposed. The powerful discriminative ability of SVM is combined with the temporal modeling ability of HMM. The output of SVM is moderated to be probability output, which replaces the Mixture of Gauss (MOG) in HMM. Wavelet transformation is used to extract observation vector, which reduces the data dimension and improves the robustness.The hybrid system is compared with pure HMM face recognition method based on ORL face database and Yale face database. Experiments results show that the hybrid method has better performance.     

基于混沌控制的自适应Turbo码译码改进算法

针对Turbo码在译码过程中迭代次数不确定的缺点,提出了一种新的改进算法。即在对附加信息(译码器的先验信息)进行混沌控制的基础上,以附加信息间的距离度量作为迭代终止的判定。仿真试验表明,该改进算法能在保证译码的准确性基础上,避免大量无谓的计算,提高译码速度,尤其在信噪比较大的情况下,效果更为明显。     

码分复用数字音频水印嵌入方案

结合人耳听觉特性，用扩频方法在音频信号中的听觉不敏感区域嵌入多路数字水印，从而实现码分复用．在对嵌入信息的检测中，除了少量系统参数外，数字水印的提取不需要原始信号，并且毋需精确同步．实验表明，该水印具有很好的隐蔽性；尤其是对常见攻击，MP3编码具有良好的稳健性．     

DEA-based anti-HIV immunotherapy model

Acquiredimmunitydeficiencysyndrome(AIDS)isoneofthemostfataldiseasesthathasspreadacrossthewholeworldsinceitfirstoccurred.Itiscausedbythehumanimmunodeficiencyvirus(HIV)[1].Mostofthechemotherapiesareaimedatkillingorhaltingthepathogen,butanewtreatmentistoreduceviralpopulationandimprovetheimmuneresponse.Thistreatmentcanboosttheimmunesystemandservetohelpthebodyfightinfectiononitsown,soitiscalledantiHIVimmunotherapy[2,3].TheaimofthisworkistofindefficientstrategiesforsuchtreatmentsusingtheDataEnv…     

红外遥控键盘单片机接口实现技术

本介绍了一种利用电视机遥控器作为单片机输入键秀的接口原理和方法，并讨论了如何使用单片机来指令的解码，实践证明这种接口方式可以节省单片机的硬件资源，缩小单片机系统的体积，同时也方便了单片机的操作，尤其是某些需要远距离操作场合。     

行列式三种定义方法的等价性

在行列式普通定义的基础上又介绍了归纳定义和公理法定义两种方法，并证明了它们的等价性．     

RSCRR空间5杆变角机构的结构和几种位置分析方法

本文对有名的 RSCRR 空间5杆变角机构进行了结构分析,进而用4种不同的方法对其进行位置分析,得出了相同的结论,证明了机构输出角δ与输入角α的关系是δ:arcsin[ctgλtg(arcctg((a/e)+cisa)/(sina))],并用实例证明了结论的正确。     

The General Machining Process Simulator GMPS

Ｔｈｅ　Ｇｅｎｅｒａｌ　Ｍａｃｈｉｎｉｎｇ　Ｐｒｏｃｅｓｓ　Ｓｉｍｕｌａｔｏｒ　ＧＭＰＳＸｉａｏＴｉａｎｙｕａｎ，ＹａｎｇＧａｎｇ＆ＬｉＸｉｎ（ＤｅｐａｒｔｍｅｎｔｏｆＡｕｔｏｍａｔｉｏｎ，ＴｓｉｎｇｈｕａＵｎｉｖｅｒｓｉｔｙ，Ｂｅｉｊｉｎｇ，Ｃｈｉ...     

Forecasting trend output in the Euro area

This paper is an applied study about forecasting trend output and the output gap in the Euro area. The need for trend output forecasts is justified by an analysis of the monetary strategy of the European Central Bank. Trend output serves as a direct inflation indicator and helps to determine the reference value for money. For both purposes, trend output has to be forecasted. A permanent–transitory decomposition based on cointegration restrictions gives an estimate of trend output in the Euro area. Ex‐ante point forecasts of trend output are computed and bootstrap simulation is employed to construct prediction intervals that take estimation uncertainty into consideration. The uncertainty of trend output and the output gap is quite large and raises questions about their usefulness as indicators for monetary policy. Copyright © 2002 John Wiley & Sons, Ltd.