谈武警学院网络实验室建设

网络技术具有很强的实践性。只有亲自动手,才能产生感性认识。在计算机网络课程教学中,急需网络实验室这样的网络实验平台。通过论证、分析,对武警学院网络实验建设提出合理化建议。     

Benders decomposition with alternative multiple cuts for a multi‐product closed‐loop supply chain network design model

In this article, we consider a multi‐product closed‐loop supply chain network design problem where we locate collection centers and remanufacturing facilities while coordinating the forward and reverse flows in the network so as to minimize the processing, transportation, and fixed location costs. The problem of interest is motivated by the practice of an original equipment manufacturer in the automotive industry that provides service parts for vehicle maintenance and repair. We provide an effective problem formulation that is amenable to efficient Benders reformulation and an exact solution approach. More specifically, we develop an efficient dual solution approach to generate strong Benders cuts, and, in addition to the classical single Benders cut approach, we propose three different approaches for adding multiple Benders cuts. These cuts are obtained via dual problem disaggregation based either on the forward and reverse flows, or the products, or both. We present computational results which illustrate the superior performance of the proposed solution methodology with multiple Benders cuts in comparison to the branch‐and‐cut approach as well as the traditional Benders decomposition approach with a single cut. In particular, we observe that the use of multiple Benders cuts generates stronger lower bounds and promotes faster convergence to optimality. We also observe that if the model parameters are such that the different costs are not balanced, but, rather, are biased towards one of the major cost categories (processing, transportation or fixed location costs), the time required to obtain the optimal solution decreases considerably when using the proposed solution methodology as well as the branch‐and‐cut approach. © 2007 Wiley Periodicals, Inc. Naval Research Logistics, 2007     

论消防通信装备在使用中存在的问题及对策

介绍了我国消防通信装备在使用中的现状;重点从消防通信装备的配备、技术和管理几方面分析了消防通信装备在使用中存在的问题;从完善火场通信联络方式、不断改进常规、集群无线组网功能、推动数字化手机和消防通信头盔的运用等方面提出了解决问题的对策。     

论城市公共安全管理网络平台的建设

针对城市的快速发展,各种突发性自然灾害或人为破坏事件增多,在充分分析城市公共安全管理现状的基础上,提出了城市公共安全管理网络平台建设,并对其总体结构,各自功能,技术、政策支持及运行模式进行了深入论述。     

部队思想政治工作说服性沟通的路径依赖研究

人的行为一旦进入某一路径,就可能对这种路径产生依赖,并在以后的发展中得到自我强化。好的路径会起到正反馈的作用,坏的路径会起到负反馈的作用。部队思想政治工作通过说服性沟通,引导官兵建立正确的路径依赖,纠正错误的路径依赖。     

Generation and storage dispatch in electricity networks with generator disruptions

We present methods for optimizing generation and storage decisions in an electricity network with multiple unreliable generators, each colocated with one energy storage unit (e.g., battery), and multiple loads under power flow constraints. Our model chooses the amount of energy produced by each generator and the amount of energy stored in each battery in every time period in order to minimize power generation and storage costs when each generator faces stochastic Markovian supply disruptions. This problem cannot be optimized easily using stochastic programming and/or dynamic programming approaches. Therefore, in this study, we present several heuristic methods to find an approximate optimal solution for this system. Each heuristic involves decomposing the network into several single‐generator, single‐battery, multiload systems and solving them optimally using dynamic programming, then obtaining a solution for the original problem by recombining. We discuss the computational performance of the proposed heuristics as well as insights gained from the models. © 2015 Wiley Periodicals, Inc. Naval Research Logistics 62: 493–511, 2015     

无监督特征学习的人体活动识别

针对人的局限性可能会导致在提取特征中丢失重要信息,从而影响最终的识别效果问题,提出无监督特征学习技术的惯性传感器特征提取方法。其核心思想是使用无监督特征学习方法学习多个特征映射,再将所有特征映射拼接起来形成最终的特征计算方法。其优点是不会造成重要信息的损失,而且可以显著减少所使用的无监督特征学习模型的规模。为了验证所提出的特征提取方法在活动识别中的有效性,运用一个公开的活动识别数据集,使用三种常用无监督模型进行特征提取,并使用支持向量机进行活动识别。实验结果表明,特征提取方法取得了良好的效果,与其他方法相比具有一定的优势。     

GPS接收机模糊搜索粗时定位方法

由于难以获得免时定位算法所需的接收机概略位置,提出模糊搜索的粗时定位方法。为减小搜索空间,在位同步后优选几何精度因子值较好的4颗卫星通过遍历伪距模糊的方式进行位置估计,并基于伪距残余均方根最小准则选出最合理的位置估算结果。根据概略位置恢复所有卫星的完整伪距。利用5状态的免时定位算法估计接收机位置。使用11个国际卫星导航服务观测站的观测数据对算法进行验证,结果表明,在概略位置未知情况下该方法能够实现粗时定位,且定位精度与直接使用完整伪距的精时最小二乘定位精度相当。     

对Ad Hoc网络通信干扰的可行性分析

依据复杂网络理论,建立了有限规模BA无标度网络模型来分析Ad Hoc网络,为进一步分析对其实施通信干扰的可行性打下结构基础。依据所建模型的拓扑结构,建立了通信干扰方程,探讨了通信干扰可能对Ad Hoc网络带来的影响。最后提出节点势能的概念,分析了通信干扰条件下Ad Hoc网络的效能,证实了实施通信干扰的实践可行性。     

基于时空序贯融合的TBM拦截效果评估

基于时空信息进行了TBM拦截效果评估的研究。首先分析了拦截效果评估信息的特征,建立了TBM拦截效果评估流程;在此基础上提出了基于"空间特征级-时间决策级"思想的序贯融合评估模型;融合评估算法中,空间域选取模糊神经网络进行特征级融合,时间域选取D-S证据理论完成决策级融合,空间特征级融合模糊神经网络的各层映射函数分别由模糊隶属函数和采用贝叶斯网络的方法来获取;最后通过实验仿真了评估流程,验证了融合评估模型及融合算法的有效性。