基于路径规划的虚拟人上肢可触及性检查技术

针对目前虚拟人上肢可触及性检查操作烦琐、效率低的问题,提出一种RRT（Rapidly-exploring RandomTree）算法与逆向运动学算法相结合的路径规划方法,通过检测可行路径是否存在来实现人体上肢可触及性检查。给出了该方法的具体流程和关键问题的解决策略,并基于Jack软件进行了实例验证。     

论公安机关处置群体性事件的制度完善

目前,我国公安机关在处置群体性事件过程中,在警察权定位及适用权限判断上存在着警察权适用程序失准、绩效不足、角色失当、制度不完善等困境。应从明确公安机关的处置原则、角色定位、建立权力规制和权利救济制度、构建公安机关分级应对策略等方面加以完善。     

对提高“合训”院校军事基础课课堂教学效益的思考

武警院校转型之后,由于合训院校通识教育内容增加,军事基础课内容未减而课时却大幅减少,这就要求军事基础课教员必须充分高效利用课堂45min,切实提高课堂教学的质量效益,才能完成教学任务。本文试就如何提高军事基础课课堂教学效益谈几点拙见。     

电源纹波对相参雷达改善因子的影响

分析了电源纹波对行波管(TWT)级联发射机放大链引起非线性失真的原因,通过对非线性失真公式进行变换,导出了发射电源纹波与相参雷达MTI改善因子的关系式,给出了衡量电源纹波的参数,为雷达系统设计选择TWT和确定电源纹波参数指标提供了定量理论依据     

装甲装备改进改型的发展及应用

对现役装甲装备的改进改型作了较全面的分析,指出了装备改进的特点、遵循的设计原则及一般通用性作法,并明确了实施装备改进的条件,剖析了装甲装备改进改型的具体实例.     

Allocation of quality improvement targets based on investments in learning

Purchased materials often account for more than 50% of a manufacturer's product nonconformance cost. A common strategy for reducing such costs is to allocate periodic quality improvement targets to suppliers of such materials. Improvement target allocations are often accomplished via ad hoc methods such as prescribing a fixed, across‐the‐board percentage improvement for all suppliers, which, however, may not be the most effective or efficient approach for allocating improvement targets. We propose a formal modeling and optimization approach for assessing quality improvement targets for suppliers, based on process variance reduction. In our models, a manufacturer has multiple product performance measures that are linear functions of a common set of design variables (factors), each of which is an output from an independent supplier's process. We assume that a manufacturer's quality improvement is a result of reductions in supplier process variances, obtained through learning and experience, which require appropriate investments by both the manufacturer and suppliers. Three learning investment (cost) models for achieving a given learning rate are used to determine the allocations that minimize expected costs for both the supplier and manufacturer and to assess the sensitivity of investment in learning on the allocation of quality improvement targets. Solutions for determining optimal learning rates, and concomitant quality improvement targets are derived for each learning investment function. We also account for the risk that a supplier may not achieve a targeted learning rate for quality improvements. An extensive computational study is conducted to investigate the differences between optimal variance allocations and a fixed percentage allocation. These differences are examined with respect to (i) variance improvement targets and (ii) total expected cost. For certain types of learning investment models, the results suggest that orders of magnitude differences in variance allocations and expected total costs occur between optimal allocations and those arrived at via the commonly used rule of fixed percentage allocations. However, for learning investments characterized by a quadratic function, there is surprisingly close agreement with an “across‐the‐board” allocation of 20% quality improvement targets. © John Wiley & Sons, Inc. Naval Research Logistics 48: 684–709, 2001     

H-PRF方式地面情报雷达杂波抑制性能分析

针对提高地面情报雷达杂波抑制性能的问题,在阐述PD体制信号处理的基础上,主要结合与传统的L-PRF方式对比,对应用H-PRF方式PD体制信号处理的改善因子进行了分析论证.     

世纪金花钟楼购物广场安全疏散消防整改设计

依据国家有关消防技术规范，介绍世纪金花钟楼购物广场安全疏散消防整改设计，探讨避难通道、帘中对开门式防火卷帘在地下商店安全疏散方面的应用。     

Capacity expansion and cost efficiency improvement in the warehouse problem

The warehouse problem with deterministic production cost, selling prices, and demand was introduced in the 1950s and there is a renewed interest recently due to its applications in energy storage and arbitrage. In this paper, we consider two extensions of the warehouse problem and develop efficient computational algorithms for finding their optimal solutions. First, we consider a model where the firm can invest in capacity expansion projects for the warehouse while simultaneously making production and sales decisions in each period. We show that this problem can be solved with a computational complexity that is linear in the product of the length of the planning horizon and the number of capacity expansion projects. We then consider a problem in which the firm can invest to improve production cost efficiency while simultaneously making production and sales decisions in each period. The resulting optimization problem is non‐convex with integer decision variables. We show that, under some mild conditions on the cost data, the problem can be solved in linear computational time. © 2016 Wiley Periodicals, Inc. Naval Research Logistics 63: 367–373, 2016     

机械系统维修性预计方法分析与应用

通过对美国及前苏联维修性预计方法的分析,确定前苏联“以类似产品的维修性多元线性回归方程作为新产品维修性预计模型”的方法为机械系统维修性预计方法.在限定的条件下,采集了装甲车辆机械系统的维修性数据,并应用这些数据进行分析得出相应的机械系统维修性预计模型.