和谐思维与部队思想政治教育职能优化

军队思想政治教育要适应和谐社会的要求,一方面深化调节,注重满足军人自身发展的需要,引导官兵建立与和谐社会相融合的人际关系;另一方面,运用“和”的思想解决矛盾和问题,达到对官兵负面思想的有效控制。     

班主任应具备的基本素质和工作方法

班主任工作的好坏,直接影响着学校整体学生管理工作。提高班主任素质,不断探索班主任工作的新途径、新方法,才能实现班主任工作的新突破,开创班主任工作的新局面。     

基于伪临界值的Cache一致性协议验证方法

针对Cache一致性协议状态空间爆炸问题,提出共享集合伪临界值(Pseudo-cutoff)的概念,并以采用释放一致性模型的CC-NUMA系统为例,分析了共享数据的分布情况,推导出在一定条件下共享集合伪临界值为4的结论,有效优化了目录Cache协议状态空间,并提出了解决小概率的宽共享事件的方法.实验数据表明,基于伪临界值的协议模型优化,能够有效缩小Cache协议状态空间,加快验证速度,扩大验证规模.     

基于XML的安全协议形式化描述方法

针对安全协议的设计与分析复杂且容易出错的问题,文章为编写一个自动验证工具提出一种基于XML(eXtensible Markup Language)语言的时间相关安全协议形式化描述方法。该方法将安全协议用树状结构表示,用XML语言进行描述,为简化安全协议的形式化分析提供了帮助。     

MADM中不同属性的规范化研究

不同属性值的规范化是多属性决策问题中的重要过程.提出了一种属性值作为点到优区间和劣区间的距离的定义,依据该定义得到了属性值规范化新方法,并通过实例证明了新规范化方法的有效性.     

基于组合赋权法的联合作战协同效能评估指标

针对联合作战协同效能评估指标体系不够科学和权重计算方法比较单一的问题,立足联合作战协同的本质特性和作战协同效能评估尺度,通过维度映射构建了包括整体性、精确性、时效性、灵活性和稳定性等5个一级指标、作战行动有序性、力量优势互补程度等10个二级指标的联合作战协同效能评估指标体系。通过构建离差最小组合赋权模型给出了主客观赋权合成的方法,并结合指标体系权重计算验证了方法可行性。     

Terrorist choice: a stochastic dominance and prospect theory analysis

The paper explores terrorist choice by applying two well-known theoretical frameworks: stochastic dominance and prospect theory (PT). We analyse each pair of attack methods that can be formed from the RAND-MIPT database and the Global Terrorism Database. Instances of stochastic dominance are identified. PT orderings are computed. Attention is accorded to the identification of ‘trigger points’ and the circumstances that may lead to an increased likelihood that a terrorist will select an attack method associated with a higher expected number of fatalities, i.e. a potentially more damaging attack method.     

公安边防部队士官学历教育浅谈

公安边防部队的士官学历教育尚在起步阶段,任重而道远。各级领导应着眼部队长远建设,确立优先发展的战略地位;应立足部队现实需要,设置学科专业;应根据岗位任职需求,确定课程体系,突出实用性;应适应教学任务的要求,完善管理与保障体系。     

仿生机器人运动建模与控制研究进展

综述了几何方法在仿生机器人运动建模和控制中应用的最新成果,探讨了在统一框架下处理多种机器人运动问题的可行性.     

Replicated batch means for steady‐state simulations

This paper studies a new steady‐state simulation output analysis method called replicated batch means in which a small number of replications are conducted and the observations in these replications are grouped into batches. This paper also introduces and compares methods for selecting the initial state of each replication. More specifically, we show that confidence intervals constructed by the replicated batch means method are valid for large batch sizes and derive expressions for the expected values and variances of the steady‐state mean and variance estimators for stationary processes and large sample sizes. We then use these expressions, analytical examples, and numerical experiments to compare the replicated batch means method with the standard batch means and multiple replications methods. The numerical results, which are obtained from an AR(1) process and a small, nearly‐decomposable Markov chain, show that the multiple replications method often gives confidence intervals with poorer coverage than the standard and replicated batch means methods and that the replicated batch means method, implemented with good choices of initialization method and number of replications, provides confidence interval coverages that range from being comparable with to being noticeably better than coverages obtained by the standard batch means method. © 2006 Wiley Periodicals, Inc. Naval Research Logistics, 2006