一种增强移动自组网Internet连接的改进型方案

针对移动自组网因单向链路以及盲目转播网关发现分组而造成的与Internet互联性能下降,提出了一种增强型互联方案.同时结合了先应和后应网关发现策略优点的混合网关发现策略被用来获取良好的Internet连接并保持低开销.而通过交换携带有额外增加的对称邻居节点列表和非对称邻居节点列表字段的AODV hello分组,单向链路得以从路由计算中予以清除而广播风暴也同时得到抑制.基于ns-2的仿真结果表明此改进型Internet连接方案在单向链路数量及节点移动速度均变化的应用环境下能取得较其他方案为优的互联性能.     

人工神经网络在火灾探测中的应用

火灾的早期探测是较为复杂且具有重要意义的研究课题。针对传统火灾探测方法存在的不足,提出了一种基于人工神经网络技术的火灾自动探测系统,即采用黄金分割优选法对网络隐含层节点数进行优选,采用优于BP算法的LM算法进行网络学习训练。实验结果表明不仅这种系统具有拟合精度高和运算速度快等优点,且探测效率良好。     

基于BP神经网络的心电图三分类

研究了一种基于神经网络的心电图分类方法,该方法利用前向多层神经网络的反向传播算法(Back Propagation),即BP算法,采用MATLAB软件建立用于三分类的BP神经网络,并利用大量的心电图数据训练神经网络,使神经网络对未训练过的心电图有较好的分类能力。实验结果表明,用这种方法用于心电图的三分类取得较好的效果。     

Mathematical Analysis of Energy Efficiency in IEEE 802.11 DCF

The standardized IEEE ,802. II distributed coordination function （ DCF） provides a contention-based distributed channel access mechanism for mobile stations to share the wireless medium. However, when stations are mobile or portable units, power consumption becomes a primary issue since terminals are usually battery driven. This paper proposes an analytical model that calculates the energy efficiency of both the basic and the RTS/CTS access mechanisms of the IEEE 802. II protocol. The model is validated with simulation results using NS-2 simulation package. The effects of the network size, the average packet length, the initial contention window and maximum backoff stages on the energy efficiency of both access mechanisms are also investigated. Results show that the basic scheme has low energy efficiency at large packet length and large network size, and depends strongly on the number of stations and the backoff procedure parameters. Conversely, the RTS/CTS mechanism provides higher energy efficiency when the network size is large, and is more robust to variations in the backoff procedure parameters.     

三角债清理的图论模型分析

三角债是我国当前经济领域中存在的一个突出问题。文章建立了三角债的图论模型,并证明了任一债务网络皆可转换为最小债务网络,从而简化了三角债清理工作。     

加强信息网络环境下的图书馆建设

信息网络的迅速发展，对图书馆提出了严峻挑战的同时也带来机遇。图书馆要面对时代变化，不断进行自身建设，才能适应社会发展需要。     

EBF网络特征映射和恢复及其在鲁棒话者识别中的应用

The performance of speaker verification systems is often compromised under real-world environments. For example, variations in handset characteristics could cause severe performance degradation. This paper presents a novel method to overcome this problem by using a non-linear handset mapper. Under this method, a mapper is constructed by training an elliptical basis function network using distorted speech features as inputs and the corresponding clean features as the desired outputs. During feature recuperation, clean features are recovered by feeding the distorted features to the feature mapper. The recovered features are then presented to a speaker model as if they were derived from clean speech. Experimental evaluations based on 258 speakers of the TIMIT and NTIMIT corpuses suggest that the feature mappers improve the verification performance remarkably.     

Modeling water and carbon fluxes above summer maize field in North China Plain with back-propagation neural networks

INTRODUCTION Dynamics of carbon and water vapor fluxesexchange between the atmosphere and the ecosystembiosphere, depend on complex and non-liner interplayamong physiological, ecological, biochemical andedaphic factors and meteorological conditions (Jarvis,1995; Leuning et al., 1995). There are many studiesquantifying the fluxes across different time and spacescales as well as assessing the environment con-straints on them by some kinds of biophysical orempirical models whose resul…     

移动自组网AODV多路径路由研究

AODV协议是唯一通过IETF批准成为RFC文档的移动自组网按需控制路由协议．分析AODV路由协议工作过程及优缺点，并介绍了几种典型的基于AODV的多路径路由改进协议，最后对这些多路径协议进行优缺点分析及性能比较。     

Hybrid ants-like search algorithms for P2P media streaming distribution in ad hoc networks

Media streaming delivery in wireless ad hoc networks is challenging due to the stringent resource restrictions,po-tential high loss rate and the decentralized architecture. To support long and high-quality streams,one viable approach is that a media stream is partitioned into segments,and then the segments are replicated in a network and served in a peer-to-peer(P2P) fashion. However,the searching strategy for segments is one key problem with the approach. This paper proposes a hybrid ants-like search algorithm(HASA) for P2P media streaming distribution in ad hoc networks. It takes the advantages of random walks and ants-like algorithms for searching in unstructured P2P networks,such as low transmitting latency,less jitter times,and low unnecessary traffic. We quantify the performance of our scheme in terms of response time,jitter times,and network messages for media streaming distribution. Simulation results showed that it can effectively improve the search efficiency for P2P media streaming distribution in ad hoc networks.