Learning Vector Quantization Neural Network Method for Network Intrusion Detection

A new intrusion detection method based on learning vector quantization （LVQ） with low overhead and high efficiency is presented. The computer vision system employs LVQ neural networks as classifier to recognize intrusion. The recognition process includes three stages： （1） feature selection and data normalization processing;（2） learning the training data selected from the feature data set; （3） identifying the intrusion and generating the result report of machine condition classification. Experimental results show that the proposed method is promising in terms of detection accuracy, computational expense and implementation for intrusion detection.     

Fair E-Payment Protocol Based on Simple Partially Blind Signature Scheme

0 Introduction The advent of E-commerce demands for a secure communication of digital information. It has been proven for years that this can be achieved by cryptography. Digital signature schemes are essential for E-commerce as they allow one to authoriz…     

Offlattice Model in the Prediction of Protein 3D Structure

3-dimension HPNX offiattice model is developed from the 2-dimension HP offiattice model. In the HP model, 20 types of amino acid monomers are divided into two classes, H （non-polar monomer） and P （polar monomer）. In the HPNX model, polar monomers are split into positively charged （P）, negatively charged （N） and neutral （X） monomers. A new evolutionary algorithm is applied to study long chains of the HPNX offiattice protein model. This method successfully predict the structures of several proteins in the 3-dimension space that are similar to the structures gotten by X-Ray Crystallography and NMR and published in the PDB（Protein Data Bank）.     

Development and Research on the Internet Resources Aggregation Platform

We proposed an Intemet resource aggregation platform based on semantic web. The platform includes an Web Ontology Language（OWL） ontology design toolkit（VO-Editor） and a selective inference algorithm engine so that it can visually editing ontology and using novel selective reasoning for information aggregation. We introduce the VO-Editor and the principle of selective inference algorithm. At last a case of budget travel system is used to interpret the approach of Internet resources aggregation by this platform.     

Joint Power Control Algorithm for CDMA TDD System

Current uplink power control algorithm of code division multiple access （CDMA） time division duplex（TDD） system contains signal-to-interference-ratio（SIR） and interference measurement, which is based on history information. However, the adjustment of transmission power of one user equipment（UE） will affect SIR of the others, because the power control is done independently of the power adjustment of other UE＇s. So the convergence speed of power control is not fast and the system performance degrades. In the proposed algorithm, all UE＇s assigned in same time slot adjust their transmission power based on current information, which takes into account the adjustments of transmission power of all UE＇s. The simulation results indicated that the proposed algorithm outperforms the old algorithm.     

上市公司经营者报酬与公司绩效实证研究

在介绍国外经营者报酬理论研究成果的基础上，实证分析了中国上市公司经营者报酬对公司绩效的影响，发现中国上市公司经营者持股对公司绩效没有显著性影响，而经营者年薪对公司绩效具有明显的正向作用，同时发现董事会结构及股东性质对公司经营者所采用的报酬形式具有不同的影响，最后提出了建立适合中国上市公司实际情况的经营者报酬体系的一些建议。     

SLE患者血清抗Sm抗体免疫PCR的方法学评价

目的为SLE患者血清抗Sm抗体提供免疫PCR测定方法.方法评价免疫PCR方法检测抗Sm抗体的特异性、敏感性、重复性和相关性.结果免疫PCR方法测定SLE患者血清抗Sm抗体特异性强,敏感性是ELISA方法的107倍,而且与ELISA方法呈高度正相关.结论免疫PCR方法用于血清抗Sm抗体测定具有临床实用价值.     

促进园林树木扦插繁殖生根的方法与技术

本对扦插繁殖的作用、类型、促进生根的多种方法、生根剂应用的发展趋势等，进行了综述。     

气流/纤维两相流动的数值计算和实验的研究

气流／纤维两相流动总是在纺织加工中十分普遍，研究气流／纤维两相流动规律为其在实际中的应用提供理论依据，通过对气流／纤维两相流动的数值计算和实验的发展过程的回顾以及对国内外研究现状的分析，指出目前关于气流／纤维两相流动的数值计算和实验的不足之处，为今后进一步研究奠定了基础。     

喷气纺喷嘴中气流流动的数值计算

采用2-D模型对喷气纺喷嘴中的气流流动进行数值计算，并与其他研究者的实验研究结果进行了分析比较。根据计算结果描述了喷嘴中气流流动特征，重点分析了参数对气流流动特征以及成纱性能的影响。