Multiple targets vector miss distance measurement accuracy based on 2-D assignment algorithms

An extension of 2-D assignment approach is proposed for measurement-to-target association for improving multiple targets vector miss distance measurement accuracy. When the multiple targets move so closely, the measurements can not be fully resolved due to finite resolution. The proposed method adopts an auction algorithm to compute the feasible measurement-to-target assignment with unresolved measurements for solving this 2-D assignment problem. Computer simulation results demonstrate the effectiveness and feasibility of this method.     

基于接收方信用量调整的TCP新算法

传输控制协议(transport control protocol, TCP)发送窗口的大小由拥塞窗口和接收方确认窗口中较小的值来确定。在高速网络中,通过合理地增加拥塞窗口,可以提高TCP的性能。然而,一个相对较小的接收方确认窗口将限制发送窗口的增加,如果根据TCP接收方的数据变化率恰当地增加接收方确认窗口赋予发送方的信用量,就能减少这种限制。提出一种增强的TCP算法,命名为接收方信用量调整传输控制协议（receiver credit adjustment transport control protocol, RCA-TCP）,该算法根据TCP接收方缓冲区的动态数据变化率和TCP连接的最小往返时间之间的乘积的估计值来获得信用量增量。在ns-2(network simulator, version 2)下仿真表明,该算法能获得更好的性能。     

虚拟现实技术在煤矿安全生产管理中的应用

以建设现代化煤矿为目标,结合煤矿安全生产的需要,提出并建立了基于虚拟现实技术的煤矿安全生产指挥系统.重点介绍了系统的模块设计、体系结构和主要功能.该系统可以为煤矿的生产管理及决策提供高效的可视化平台和信息传递与交换平台,消除监控子系统各自单独工作的局面,消灭信息孤岛,提高组织、指挥、协调和控制效率,为煤矿安全生产指挥提供高效决策依据.     

Comparison between several satellite constellation schemes for MEO-TDRSS of China

The satellite constellation classes, which are suitable for the medium earth orbit tracking and data relay satellite system （MEO-TDRSS） of China, are investigated. On the basis of the functionality and the traffic distribution characteristic of MEO-TDRSS, the coverage performance and inter-satellite link properties of four different constellation schemes are compared by simulations. Simulation results indicate that the rosette and common-track constellations, whose satellites are distributed on the celestial sphere more uniformly, are appropriate for the implementation of MEO-TDRSS of China.     

Study on the control mechanism of China aerospace enterprises' binary multinational operation

China＇s aerospace enterprises carry on the multinational operation and participate in the international competition and the international division of labor and cooperation positively. This article first analyzs China aerospace enterprises＇ binary multinational business control objective and constructes its model. Then the article analyzes the tangible and intangible control mechanism of China aerospace enterprises＇ binary multinational operation respectively. Finally, the article constructs the model of China aerospace enterprises＇ binary multinational operation mechanisms.     

复杂性前沿探索Ⅱ：综述和展望——以2007《涌现》文献分析为例

论文以2007年《涌现》杂志发表物为分析对象,讨论了当今复杂性科学探索的若干特征,对2007复杂性研究的境况做了综述,对未来的复杂性研究做了进一步的展望。     

Clustering patents using non-exhaustive overlaps

Patent documents are unique external sources of information that reveal the core technology underlying new inventions.Patents also serve as a strategic data source that can be mined to discover state-of-the-art technical development and subsequently help guide R&D investments.This research incorporates an ontology schema to extract and represent patent concepts.A clustering algorithm with non-exhaustive overlaps is proposed to overcome deficiencies with exhaustive clustering methods used in patent mining and technology discovery.The non-exhaustive clustering approach allows for the clustering of patent documents with overlapping technical findings and claims,a feature that enables the grouping of patents that define related key innovations.Legal advisors can use this approach to study potential cases of patent infringement or devise strategies to avoid litigation.The case study demonstrates the use of non-exhaustive overlaps algorithm by clustering US and Japan radio frequency identification (RFID) patents and by analyzing the legal implications of automated discovery of patent infringement.     

机动导弹圆环形区域打击模型及实现

考虑了对机动导弹实施机动区域打击 ,建立起在圆环形区域瞄准点选取模型 ,并通过计算机模拟进行了结果分析 .该方法具有通用性 ,对制定作战方案以及生存选择具有现实意义.     

基于神经网络的舰船全磁场部位识别

利用人工神经网络将舰船磁场的三个分量进行序贯融合处理 ,从而进行对舰船关键部位的精确识别 ,给出了处理方法及检验结果 ,并分析了提高网络推广性能的措施。     

基于神经网络的一类非线性系统的变结构控制

在已知名义系统的基础上 ,将小脑关节模型控制器 (CMAC)神经网络用于一类状态反馈可线性化的多输入多输出连续时间非线性系统的变结构控制中。利用自适应技术估计了估计误差的大小 ,减小了系统的不确定性 ,并利用模糊控制技术调整了变结构增益 ,改善了系统的性能。在很弱的假设条件下 ,应用Lyapunov稳定性定理证明了闭环系统内的所有信号为均匀最终有界。算法在导弹控制系统中的应用进一步证明了本文方法的有效性。