The Success of the 2014 Nuclear Security Summit and its Contribution to the Nonproliferation Regime

The 2014 Nuclear Security Summit (NSS) in The Hague was a resounding success, both in organizational terms and in terms of substance. The new substance can be found in the Communiqué, as well as in innovative joint statements by participants, all of which may be considered as implementation of actions decided upon in the Final Document of the 2010 Review Conference of the Treaty on the Non-Proliferation of Nuclear Weapons. The next two years in the NSS process cannot be business as usual. This viewpoint makes some suggestions for NSS states to undertake between now and the final summit in 2016, including preparations for winding down the NSS process as we know it.     

基于数据挖掘的海战场态势可视化平台构建

可视化和数据挖掘是进行海战场态势评估、实现战场可视化的两项关键技术。海战场态势可视化能提高指挥员的战场态势感知能力,有效辅助指挥员进行当前态势评估和未来态势预测。而数据挖掘技术是对海量战场态势数据进行知识发现的有效工具,基于数据挖掘技术从顶层构建了海战场态势数据可视化挖掘平台,并对其中的各子模块进行了具体研究。     

基于网格的聚类挖掘算法

为了提高海量数据挖掘效率,研究了一种基于网格环境下的分布式聚类（Prejudge-Based Distributed Clus-tering,PBDC）算法,并引入距离、模和内积的概念,在聚类之前进行预判断,减少了不必要的计算开销。在此基础上提出了一种分布式并行化聚类（Distributed Parallel Clustering,DPC）算法,将其嵌入到Weka4ws中,以开源数据挖掘类库Weka为底层支持环境,构建网格环境下的分布式数据挖掘体系,同时进行仿真实验。实验结果表明：该算法对于网格环境下海量数据的分布式聚类具有良好的效果。     

A misclassification cost‐minimizing evolutionary–neural classification approach

Machine learning algorithms that incorporate misclassification costs have recently received considerable attention. In this paper, we use the principles of evolution to develop and test an evolutionary/genetic algorithm (GA)‐based neural approach that incorporates asymmetric Type I and Type II error costs. Using simulated, real‐world medical and financial data sets, we compare the results of the proposed approach with other statistical, mathematical, and machine learning approaches, which include statistical linear discriminant analysis, back‐propagation artificial neural network, integrated cost preference‐based linear mathematical programming‐based minimize squared deviations, linear integrated cost preference‐based GA, decision trees (C 5.0, and CART), and inexpensive classification with expensive tests algorithm. Our results indicate that the proposed approach incorporating asymmetric error costs results in equal or lower holdout sample misclassification cost when compared with the other statistical, mathematical, and machine learning misclassification cost‐minimizing approaches. © 2006 Wiley Periodicals, Inc. Naval Research Logistics, 2006.     

ODS系统及其在电子战中的应用

数据仓库(DW)在决策支持系统起着举足轻重的作用,在数据的存储和挖掘中有着诸多优势,但对处理实时数据的处理效率不高,操作数据存储(operational data store)的出现弥补了数据仓库在效率上的不足。对ODS作了系统论述,并讨论其在电子战(EW)中的应用。     

移动通信网络位置群体节点的挖掘方法

对移动通信网络的位置群体节点进行了优化定位和挖掘,优化移动通信网络的覆盖度和可靠度,传统的位置群体节点挖掘算法采用信息度增益控制挖掘算法,算法不能自主感知节点信息数据的变化,无法实现数据信息的实时传递和决策。提出基于位置群体节点信息融合和滤波控制的移动通信网络位置群体节点的挖掘方法。构建移动通信网络节点的分布模型和信道模型,采用多径信道均衡设计实现位置群体节点信息融合,采用自适应滤波控制方法实现对通信节点挖掘的干扰抑制。仿真结果表明,采用该方法进行通信节点挖掘,信标定位准确,信号的覆盖度较合理,实现了信道空间的合理高效利用,实现了信道均衡和干扰抑制,有效降低了通信的误比特率。     

多源异构战场信息关联挖掘技术研究

针对复杂战场环境对信息关联的需求,对多源异构战场信息关联挖掘技术展开研究,提出了面向时空、实体、任务、语义四种关联信息挖掘方法,实现战场信息在多个维度上的关联,使其更好的满足复杂化、多样化的战场信息感知需要。     

关联规则挖掘在发动机故障分析中的应用

大部分关联规则挖掘算法仅以出现频率作为阈值来产生关联规则,然而在发动机故障数据分析领域,很多关键故障的出现机率较低,采用传统的挖掘算法无法适应航空发动机故障分析的需要.提出一种新算法,称为权重式多重支持度关联规则挖掘算法,此算法可针对不同重要度的故障定出不同的支持度阈值,由此产生的关联规则,可以解决高重要度但出现较少的故障不易被挖掘的问题.     

遥感数据用户需求融合处理技术

遥感数据是国家的基础性和战略性资源,在经济建设、国防建设、抢险救灾、生态环境保护等方面得到了广泛的应用,发挥着越来越重要的作用,各行各业对遥感数据的需求也越来越多。因此,如何提高对地观测资源的利用率,提高服务响应速度成为迫切需要解决的问题。采用自然语言处理技术,提出了一种用户需求融合处理方法,该方法可以有效地融合归并相同或者相似的用户需求,实现一图多用,引入需求预测和需求融合技术以提高需求融合效率,从而提高对地观测资源的利用率,达到事半功倍的效果。     

The security sector and the plunder of Zimbabwe’s Chiadzwa alluvial diamonds: the ‘goat mentality’ in practice

While the human rights impact of the deployment of state security agencies in the Chiadzwa diamond fields has been explored, it is important to continue to expose the increasing tendency within the sector to take public resources that should be protected by the state and used for the benefit of the people and channel them for personal gain. The security sector stranglehold of President Robert Mugabe and the ruling political party, the Zimbabwe African National Union Patriotic Front (ZANU-PF), has facilitated the siphoning of Chiadzwa diamond revenue into the pockets of individual security personnel. The unfolding sociopolitical crisis in Zimbabwe has also meant that these security personnel have been deployed beyond conflict zones and into traditionally civilian domains, with dire consequences for the public purse. With this in mind, it is asserted that these issues have driven state security agencies to enrich themselves through what is termed in this article as a ‘goat mentality’. The article thus explores the ways in which state security agencies have been deployed and gone on to promote personal enrichment in the Chiadzwa diamond fields.