电力电子技术的现状与绿色变换的发展趋势

论述了电力电子技术的发展及其产生的影响 ,认为绿色变换是消除谐波污染、进一步发展绿色化电力电子技术的唯一途径 ,由此阐明了绿色变换技术的现实意义     

The selection allocation problem

The Selection Allocation Problem (SAP) is a single period decision problem which involves selecting profit‐maximizing (or cost‐minimizing) activities from various distinct groups, and determining the volume of those activities. The activities in each group are selected subject to the availability of that group's resource, which is provided by either pooling or blending raw inputs from several potential sources. Imbedded in the decision process is the additional task of determining how much raw input is to be allocated to each group to form the resource for that group. Instances of this problem can be found in many different areas, such as in tool selection for flexible manufacturing systems, facility location, and funding for social services. Our goal in this paper is to identify and exploit special structures in the (SAP) and use those structures to develop an efficient solution procedure. © 1999 John Wiley & Sons, Inc. Naval Research Logistics 46: 707–725, 1999     

高速三维地形显示系统的体系结构

从自行设计的专用三维地形显示的硬件和软件系统的观点出发,讨论了高速三维地形显示系统的体系结构、关键技术及其实现方法。以新一代的高速处理器ＩＮＴＥＬｉ８６０为核心,采用分配树技术,解决多路并行输出产生的竞争和瓶颈问题;实现Ｚ－缓冲硬件算法,提高系统的图形消隐速度;设计多帧存体结构,支持多通道、多画面信息的快速显示。     

双绝热近似下磁流体力学线性稳定性原理

本文得出了双绝热近似的磁流体力学能量积分关系式。分析表明这种磁流体力学系统是保守的,可以采用运动方程或能量原理方法分析系统的稳定性特性。本文从控制方程组出发讨论了线性稳定性的基本原理,指出纵向压力增值有助于系统的稳定性。     

入射频率对高功率微波与等离子体相互作用的影响分析

通过建立等离子体中的波动方程、电子传递方程和重物质传递方程,研究了等离子体对高功率微波传输特性的影响。研究了高功率微波与等离子体相互作用中产生的电子密度和透射电场的变化过程,并重点分析了变化过程中入射波频率产生的影响。研究结果表明,在相互作用过程中,等离子体中的电子密度和透射电场在一定条件下会发生阶跃变化,即等离子体区域平均电子数密度会在极短的时间内由1×10~9m~(-3)增加到1×10~(19)m~(-3),平均电场强度也会由初始场强跃变为零,并且这种变化的产生存在一定的入射阈值场强和最低产生时间。当入射电磁波的频率不同时,产生阶跃变化所需的场强阈值和最低产生时间就会变得不同,高功率微波与等离子体相互作用中存在一定的色散效应。在所考虑的范围内,阈值场强随入射波频率线性增长,而最低产生时间随电磁波频率呈非线性增长变化。     

协方差压缩感知逆合成孔径雷达成像技术

为解决低信噪比条件下短观测时间雷达成像问题,提出一种基于回波协方差矩阵处理的压缩感知逆合成孔径雷达成像技术。该方法构建了回波协方差矩阵层面下的压缩感知问题模型,并通过特定的线性变换降低环境噪声对成像结果的影响。在仿真实验中,通过处理短观测时间和低信噪比条件下的模拟回波数据,该方法获得比传统压缩感知方法像质更好、对比度更强的目标成像结果。同时,其成像结果的目标背景比和背景噪声能量两个雷达图像评价指标都优于传统方法,进一步验证了该方法的有效性。     

稳定特征选择的多目标蚁群优化

为了提高进化算法特征选择稳定性,提出一种面向稳定特征选择的多目标蚁群优化方法。通过抽样策略集成三种特征排序法的输出作为多目标蚁群优化的稳定性指导信息,聚合特征的费舍尔分值和最大信息系数值作为多目标蚁群优化的启发式信息,以分类正确率和扩展昆彻瓦指标值作为两个优化目标,兼顾算法的分类性能与特征选择稳定性。在四个标准数据集上进行对比实验,结果表明,所提方法能够在分类性能与稳定性方面达到较好的平衡。     

Theories of Non-Balancing and Russia’s Foreign Policy

The beginning of the twenty-first century has witnessed the emergence of balancing responses to the US hegemony, among which Russia’s foreign policies stand out as corresponding to what is understood as ‘hard balancing.’ Why is the United States being balanced against? This paper categorizes the existing theories of non-balancing into six conditions that together guarantee the absence of balancing and demonstrates that the current unipolar system can satisfy only one of them. This eases the systemic constraints and makes balancing possible. The paper then presents three cases of balancing with reference to President Putin’s foreign policy. It argues that even though in terms of relative military capabilities unipolarity still holds, the emergence of counter-hegemonic balancing is indicative of important changes in the nature of post-Cold War American domination.     

Effective in battle: conceptualizing soldiers’ combat effectiveness*

How do we understand combat effectiveness – soldiers’ performance in battle? Despite the broad consensus that understanding combat effectiveness is important both for scholars and policymakers, there is widespread disagreement about what combat effectiveness is. More specifically, studies of effectiveness tend to focus on either the skill of soldiers in battle, or their will to fight. Yet both skill and will are essential components of an effective fighting force. This article argues that understanding combat effectiveness requires understanding both of these key components of effectiveness. In other words, combat effectiveness requires both the skill and will to engage the enemy in an organized manner. It then demonstrates the usefulness of this conceptualization by applying it to the cases of British, Indian, and Australian forces fighting the Japanese during the Second World War. Only when scholars are talking about the same concept will our understanding of the conditions under which militaries are effective in battle progress. By comparing different units fighting the same opponent under the same material conditions, I demonstrate that units vary both in their combat skill and their will to fight, and that understanding their effectiveness in battle requires analyzing both of these key factors.     

基于共进化的多任务分配与调度

在考虑多种约束关系基础上 ,提出一种并行与分布式系统中多约束关系的任务分配与调度的共同进化遗传算法。仿真试验结果表明所给算法比传统单种遗传算法更能有效地进行多任务分配与调度 ,具有一定的工程价值