基于关键链技术在装备维修项目进度管理中的应用研究

根据装备维修工程进度管理的现状,分析传统的关键路径技术(CPM)方法的主要问题,总结计划进度管理方法的优缺点,提出将考虑资源约束的进度管理方法-关键链技术应用于装备维修工程进度管控,运用约束理论和缓冲优化方法对具体工程项目进行进度计划调整与修理工期优化,并通过和CPM方法结果的比较分析,得出关键链技术可以更科学合理制定装备维修项目进度计划并达到优化修期的目的,为装备维修进度管理提供理论与实践参考。     

基于正常行为的案例推理在伪装船只识别中的应用

船只识别是一个多影响因素的问题,目前的船只识别方法,普遍采取基于成像原理的方法,利用船只外形的差异,进行识别。对于伪装船只,其外形与普通船只差别较小,利用成像技术对其进行识别比较困难。提出了一种基于船只行为的识别方法,将邻域粗糙集、案例推理与聚类分析引入船只识别的过程中,利用邻域粗糙集对案例进行属性简约,提取船只行为案例关键属性,再对案例库进行案例聚类,以提高案例的检索效率。利用提出的推理模型,充分发掘船只动作数据所包含的信息,能以较高准确率实现对伪装船只的快速识别。     

Priority based data reporting algorithm in wireless sensor networks

A cluster-based organization with two phases to separate priority calculation and network activity operations is developed. In the election-state phase, clusters are organized by those nodes with sufficient residual energy level (REL) that are distributed as evenly as possible in the network. For each network round, each node decides its role (such as, cluster header (CH) or a normal node) and its priority level for activity operation. The priority level also affects the active/sleep scheduling in the node. In the steady-state phase, the positive priority levels of active nodes determine their activity order to avoid transmission collision, and to reduce redundant data transmission and sensing coverage. Since the data reporting to the sink is usually performed by a CH delivery chain, subsidiary CHs are selected to assist with data delivery and to share the loading of CHs. The formulae for computing priority levels are analyzed and verified by the examples with valid parameters. The experimental results show that the two phases efficiently consume node energy and achieve energy savings.     

可靠性验证试验费用优化模型研究

分析了可靠性验证试验的费用优化问题，并以指数寿命型序贯试验方案为例，给出了费用优化的建模及计算方法。给出了模型计算关键参数的取值表，使得计算过程简单实用。所举算例表明了这一点。