一种基于几何特征的虹膜定位算法

虹膜定位是虹膜识别中基础性环节,其精度和速度决定了虹膜识别系统的性能。为提高虹膜定位的速度,提出一种基于圆几何特征的虹膜内边缘定位算法,利用内外边缘中心的耦合特性缩小微积分方法搜索外边缘的范围。实验结果表明,与经典虹膜定位算法相比,提出的算法快速、精确、鲁棒。     

线性系统的鲁棒容错控制设计方法

考虑了线性故障系统的鲁棒容错控制问题。利用状态反馈特征结构配置参数化结果，提出了一种鲁棒容错控制设计方法。该方法将故障系统的鲁棒容错控制问题转化为含有约束的最小化问题。数值算例及其仿真结果验证了所设计方法的简单性和有效性。     

基于Stateflow的PERT网络仿真方法

介绍了基于Stateflow的PERT网络仿真方法,详细阐述了建模思路、建模步骤以及难点问题的解决方法,并对PERT网络实例进行了仿真。该方法容许工序的持续时间服从任意分布,而且可以考虑所有可能出现的关键路线。     

Competitive Statehood in Libya: Governing Differently a Specific Setting or Deconstructing its Weak Sovereign State with a Fateful Drift Toward Chaos?

Abstract

Libya in 2011 witnessed a real process of political change, though different from all the policy-oriented jargon equating transition with a teleological transition to democracy. Due to the resilience of the Qadhafi regime in power and with the essential role of NATO intervention, the process was eased out by a eight-month civil war. Governance in post-Qadhafi Libya was not done through the rebuilding of centralized authorities. But it took the specific form of the emergence of multiple non-state actors embedded in local dynamics and then connected with weakened central authorities that had access to the huge Libyan resources. That raised complex questions about the quality of this mode of governance, especially at a time of pressing problems for Libya and its neighbors, whether direct ones (Tunisia, Egypt, Mali) or farther countries across the Mediterranean sea: terrorism with the expansion of Da’esh into the country and flows of refugees crossing Libya’s uncontrolled borders and flowing into Italy and then Europe by thousands.     

浅析国家审计免疫系统论

“国家审计免疫系统论”是新时期从战略的高度对审计本质所作出的精辟、简洁、鲜明的表述，体现了时代精神，揭示了中国审计的根本性质就是保护与防御。这一理论具有创新精神，它把审计上升到了国家安全的高度，其目的是为国家“强身健体”。正确认识“审计免疫系统论”的内涵、本质、功能，对于指导我国审计理论和审计工作发展具有重要的理论意义和实践意义。     

有向无环图决策支持向量机和经验模式分解在轴承故障诊断中的应用

当旋转机械发生故障时,其振动信号常常表现出较为复杂的调制形式,经验模式分解能根据信号的真实物理意义完成自适应分解。支持向量机由于其出色的学习性能和良好的推广能力,使其在包括故障诊断在内的众多领域得到较为广泛的应用。利用经验模式分解结果提取频带能量特征向量,采用有向无环图决策支持向量机实现对轴承状态的判别,并基于留一法优化支持向量机的模型参数。最终的应用结果表明,基于EMD和有向无环图决策支持向量机方法可以有效实现对轴承的状态判别。     

复杂系统使用保障测试性设计方法初探--故障设备影响分析及其应用

分析了复杂系统使用保障测试性设计方法的技术背景,系统战备状态的含义、重要性和描述方法;重点探讨了系统设备级(初始约定层次)故障设备对系统分系统战备状态影响进行分析的有效方法。并以某防空导弹武器系统为例,介绍如何利用功能分析法具体解决复杂系统使用保障测试的可测性、可控制性和可观察性等工程化设计问题。推荐一组实用的系统/分系统战备状态(正常/降级/故障)判定逻辑运算数学模型和基层级综合保障(使用保障+维修保障)计划流程图。     

A novel facial emotion recognition scheme based on graph mining

Recent years have seen an explosion in graph data from a variety of scientific, social and technological fields. From these fields, emotion recognition is an interesting research area because it finds many applications in real life such as in effective social robotics to increase the interactivity of the robot with human, driver safety during driving, pain monitoring during surgery etc. A novel facial emotion recognition based on graph mining has been proposed in this paper to make a paradigm shift in the way of representing the face region, where the face region is represented as a graph of nodes and edges and the gSpan frequent sub-graphs mining algorithm is used to find the frequent sub-structures in the graph database of each emotion. To reduce the number of generated sub-graphs, overlap ratio metric is utilized for this purpose. After encoding the final selected sub-graphs, binary classification is then applied to classify the emotion of the queried input facial image using six levels of classification. Binary cat swarm intelligence is applied within each level of classification to select proper sub-graphs that give the highest accuracy in that level. Different experiments have been conducted using Surrey Audio-Visual Expressed Emotion (SAVEE) database and the final system accuracy was 90.00%. The results show significant accuracy improvements (about 2%) by the proposed system in comparison to current published works in SAVEE database.     

船舶轴频电场跟踪

针对轴频电场包络跟踪中先验信息缺失的问题,研究了船舶轴频电场跟踪对传感器阵列的基本要求,引入了一种基于最大似然选择的多初值渐进更新扩展卡尔曼滤波算法。建立船舶轴频电场包络跟踪的状态空间模型,用水平电偶极子对船舶轴频电场包络进行建模;建立基于最大似然选择的多初值模型;基于轴频包络信号特征,研究了对传感器阵列排布方式的要求。仿真结果表明,利用轴频电场包络对船舶进行跟踪是可行的,要求传感器阵列至少由3个传感器组成,且3个传感器不在一条直线上;在传感器阵列满足要求的情况下,该算法可以有效解决轴频电场包络跟踪中的先验信息缺失问题,具有较高的实用价值。     

自组织特征映射网络在目标分类识别中的应用

为了在日趋复杂的空战环境中准确分析出目标的类型,以达到辅助决策之目的,采用自组织特征映射网络来对目标进行分类识别.首先提取影响目标识别的类特征,然后对其预处理.在此基础上建立SOM网络目标识别模型,并利用SOM网络算法实施无监督的自组织学习.在学习的过程中,通过不断调节网络节点间的权向量,来实现目标聚类.最后,通过仿真验证了该方法在目标分类识别中的可行性和实用性.