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.     

氧化铝基复合材料出铁沟预制件的研制

研究了防裂剂、减水剂、碳化硅、石墨和钢纤维等加入量与材料性能之间的关系。通过孔隙率，抗弯强度，抗压强度，冷热循环次数，耐渣铁腐蚀等性能，以及组织结构等的测试分析和工业性试验，研制出了性价比优异的氧化铝基复合材料出铁沟预制件，铁水线的最优配方为（％）：Al2O3-14SiC-5G-4SiO2-2微粉－1白泥－6水泥，渣线的最优配方为（％）：Al2O3-16SiC-5G-4SiO2-2微粉－1白粉－6水泥，均外加0．15三聚磷酸钠－3B铝粉－2钢纤维，文中还探讨了氧化铝基复合材料出铁沟预制件的损毁机理。     

酸沉降农业经济损失估算

利用酸雨 p H值和 SO2 浓度对农作物产量的单一和复合影响模型 ,推算出自然条件下主要农作物受酸沉降危害的减产量 ,利用市场价格法估算并分析酸沉降造成的农业经济损失 ,结合 RAINS-Asia模型预测将来的损失。选取安徽省铜陵市为实例 ,分析表明 (以 1999年为基准 ) :酸沉降已使整个铜陵市受到污染 ,对铜陵市的农业生产造成一定程度的危害 ,主要农作物受酸沉降影响播种面积达 2 75 .17km2 ,减产 190 2 .97t,经济损失 10 1.15万元。预计 2 0 10年经济损失为 97.0 1万元     

地理信息系统在城镇地质灾害防灾规划中的应用

利用计算机与地理信息系统技术，结合甘肃省城镇地质灾害统计调查资料，建立了甘肃省城镇地质灾害地理信息系统，实现了全省地质灾害图形显示、统计、查询、编辑等功能，初步进行了有关泥石流等地质灾害的空间分析，为地质灾害信息系统在防灾规划中的应用奠定了基础。     

精密温控对惯性导航平台系统性能的影响

分析惯性平台温度控制与惯性导航系统精度的关系.提出一种实用的惯性平台温度控制方法,即根据大环境温度和被控对象温度合理选择温度控制点、控制方式和控制算法.研究系统有温控、无温控、长时温控和短时温控对平台综合性能的影响.试验结果表明,系统在陀螺级具有速度快、精度高等优点,为解决惯导系统启动后缩短惯性器件热平衡过程,迅速进入稳定工作状态问题提供了一种实用方法,也为类似的惯导温度控制系统提供了有益的参考.     

线性跟踪系统的控制律

利用线性系统的叠加原理,将理想输入表示为从不同采样时刻开始的系统的单位阶跃响应的线性组合,求得组合系数并由此导出了跟踪系统的控制律.理论分析表明,采用这种控制律可实现对系统的精确控制:无超调、无静差、过渡时间为零.