随机多址访问协议中最优帧模式的混合遗传算法

在随机接入协议中 ,竞争时隙与预约时隙在一帧中的相对位置 (帧模式 )对系统的吞吐量有很大的影响 .利用混合遗传算法搜索出不同业务量下的最优帧模式 ,提高了系统的吞吐量 .     

A new self-adapting admission control algorithm for differential service in Web clusters

A new admission control algorithm considering the network self-similar access characteristics is proposed. Taking advantage of the mathematical model of the network traffic admission control which can effectively overcome the self-similar characteristics of tile network requests, through the scheduling of the differential service queue based on priority while at the same time taking into account various factors including access characteristics of requests, load information, etc. smoothness of the admission control is ensured by the algorlthm proposed in this paper. We design a non-linear self-adapting control algorithm by introducing an exponential admission function, thus overcomes the negative aspects introduced by static threshold parameters. Simulation results show that the scheme proposed in this paper can effectively improve the resource utilization of the clusters, while at the same time protecting the service with high priority. Our simulation resuhs also show that this algorithm can improve system stability and reliability too.     

自管理机密网络的分布式匿名路由协议

针对数据传输时所需通信分析暴露通信者身份及相互关系的问题,采用混淆网络和洋葱路由来掩饰其真实通信,通过建立匿名路径来防止通信中的流分析,但所有路由器需要通过交换路由信息了解整个网络的拓扑结构.提出一种分布式匿名路由协议.该协议不需要任何节点收集和存储网络拓扑信息.模拟结果表明该协议具有较好的可扩展性.     

ADO.NET访问数据库的实例分析

随着分布式数据库应用的深入,永久的数据库联接是相当耗费资源的。ADO.net技术的出现,完美地解决了这些问题。本文讨论了ADO.NET的主要对象,并深入分析了其访问SQLSERVER的过程。     

《解放军理工大学学报(自然科学版)》征稿简则

《解放军理工大学学报(自然科学版)》是由解放军理工大学主办的自然科学综合性学术期刊。主要刊登军事通信工程、指挥自动化工程、防护工程、作战工程保障、军事气象水文和基础科学技术领域中的优秀论文、技术报告和科技简讯。除被国内主要数据库及文摘收录外，还被俄罗斯《文摘杂志》、英国《科学文摘》、美国《剑桥科学文摘》和德国《数学文摘》等国际检索机构收录。本刊欢迎校外作者来稿，对于属国家、省部级和军队基金项目论文，院士及著名专家的论文，将优先发表。1投稿要求与注意事项1．1论文必须具有创新性、学术性、科学性、准确性…     

基于VB的数据库访问技术实现研究

本文对VB数据库访问技术的发展进行了论述,并就基于VB6.0的数据库访问技术展开了对比分析,同时分析了VB数据库编程及网格控件的选用。     

A Deep Web Query Interfaces Classification Method Based on RBF Neural Network

This paper proposes a new approach for classification for query interfaces of Deep Web, which extracts features from the form＇s text data on the query interfaces, assisted with the synonym library, and uses radial basic function neural network （RBFNN） algorithm to classify the query interfaces. The applied RBFNN is a kind of effective feed-forward artificial neural network, which has a simple networking structure but features with strength of excellent nonlinear approximation, fast convergence and global convergence. A TEL_8 query interfaces＇ data set from UIUC on-line database is used in our experiments, which consists of 477 query interfaces in 8 typical domains. Experimental results proved that the proposed approach can efficiently classify the query interfaces with an accuracy of 95.67%.     

Tsinghua STEP Team visits Stanford GSB

The Tsinghua team of the STEP( the Stanford-Tsinghua Exchange Program), consisting of 20 2nd year MBA stu-dents, visited Stanford Graduate School of Business     

基于Web的数据库访问技术

为了满足用户对信息服务的动态性、实时性和交互性的要求，Web与数据库的连接已越来越受到人们的重视。本介绍了Web访问数据库的几种实用技术，比较了它们的特点与不足。