交通隧道抢险救援需要把握和解决的几个问题

基于多年工作经验,分析总结了我国交通隧道抢险救援的主要特点,明确了交通隧道抢险救援中需要把握和解决的主要问题,并提出了具体的战术战法,为我国交通隧道抢险救援工作提供参考。     

炮兵雷达阵地选择仿真系统的设计与实现*

虚拟现实技术是20世纪末发展起来的一项涉及众多学科的高新应用技术,主要针对在MultiGen Creator和Vega软件平台下开发三维仿真系统。针对目前炮兵雷达阵地选择虚拟仿真的需求,设计了炮兵雷达阵地选择仿真训练系统,介绍了仿真系统的组成及功能模块,论述了二维数字地图生成与显示、三维场景生成与显示、视景仿真的实现等关键技术,最后给出了仿真效果图。结果表明了仿真系统的可行性和实用性,极大地提高了训练效率和训练水平。     

Controlled warfare: how directed-energy weapons will enable the US Military to fight effectively in an urban environment while minimizing collateral damage

US military operations are increasingly conducted within urban environments and with these operations come the risk of increasing the number of civilian casualties and infrastructure damage. The use of non-lethal weaponry, such as directed-energy weapons, is one method for minimizing collateral damage. This method enables US military forces to effectively fight within urban environments through force escalation capabilities. Using a series of historical examples and future scenarios for urban warfare, this article highlights deficiencies affecting military capabilities in military urban operations, addresses the consequences of collateral damage, assesses the effectiveness of directed-energy weapons in military urban operations and encourages further funding, research and integration of non-lethal weaponry, such as directed-energy weapons, within the US military.     

Sacrificing urban governance at the altar of political expediency: Illegal street vending in Harare

ABSTRACT

This article uses the case of illegal street vending in Harare to explore the interface between urban governance and politics. Drawing on the ideas of urban governance and informal governance, it illustrates how polarisation between the opposition political party Movement for Democratic Change-dominated municipal council and the Zimbabwe African National Union Patriotic Front-led government is affecting governance in general and in particular Harare municipality’s ability to handle the illegal street vending problem. While the paper essentially identifies political expediency as the major reason why a lasting solution is elusive in handling the illegal street vending problem, it acknowledges that there are broad reasons for its persistence. Consequently, the article demonstrates some of the reasons why illegal street vending is difficult to end using the conventional methods and provides some alternatives.     

当前城中村消防安全问题分析及对策探讨

随着城镇化的快速发展,“城中村”火灾多发,形势严峻.对现阶段“城中村”的火灾特点进行了分析,结合工作实际,提出并分析了“城中村”存在的消防安全问题,就如何提升“城中村”抗御火灾能力提出了防火对策.     

A robust queueing network analyzer based on indices of dispersion

We develop a robust queueing network analyzer algorithm to approximate the steady-state performance of a single-class open queueing network of single-server queues with Markovian routing. The algorithm allows nonrenewal external arrival processes, general service-time distributions and customer feedback. The algorithm is based on a decomposition approximation, where each flow is partially characterized by its rate and a continuous function that measures the stochastic variability over time. This function is a scaled version of the variance-time curve, called the index of dispersion for counts (IDC). The required IDC functions for the external arrival processes can be calculated from the model primitives or estimated from data. Approximations for the IDC functions of the internal flows are calculated by solving a set of linear equations. The theoretical basis is provided by heavy-traffic limits for the flows established in our previous papers. A robust queueing technique is used to generate approximations of the mean steady-state performance at each queue from the IDC of the total arrival flow and the service specification at that queue. The algorithm's effectiveness is supported by extensive simulation studies.     

面向时空交通栅格流量预测的3D通道注意力网络

城市交通流量预测对交通管理和公共安全具有重要意义。然而,交通栅格流量数据中的规律在时刻变化,在城市中存在全局范围的时空间关系,并且不同特征通道在每个城市区域上有不同的重要性。为解决这些挑战并做出更准确的预测,设计了一种新颖的时空神经网络模型——3D通道注意力网络(three-dimensional channel-wise attention networks,3D-CANet)。提出一个3D通道内注意力(three-dimensional inner channel attention,3D-InnerCA)单元来动态捕获各个通道中不同的全局时空相关性,同时设计通道间注意力(inter channel attention,InterCA)单元来自适应地重校准每个区域上不同特征通道的贡献。在3个真实交通栅格流量数据集上的实验结果表明,3D-CANet模型的预测能力优于其他对比方法,证明了模型的有效性。     

EEMD+BiGRU组合模型在短时交通流量预测中的应用

针对城市交通流随机波动性强、数据中含噪声多导致预测精度下降的问题,提出一种基于集合经验模态分解(ensemble empirical mode decomposition,EEMD)和双向门控循环单元(bidirectional gated recurrent unit,BiGRU)的组合交通流量预测模型,有效地提升了短时交通流预测的精度。模型利用EEMD算法对原始数据进行分解,根据分解所得的本征模函数(intrinsic mode function,IMF)分量绘制噪声能量图谱,去除分量中的噪声,并将去噪后的IMF分量作为BiGRU网络的输入进行训练,再将训练所得的结果进行重构加和,得到最终的预测结果。实验结果表明,未舍弃含有噪声的IMF分量进行重构的预测结果,相比于参考文献中提出的EMD+LSTM模型、LSTM模型和EEMD+LSTM模型,其平均绝对百分误差分别优化了42.36%、61.82%和30.95%;舍弃含有噪声的IMF分量后进行重构的预测结果,其平均绝对百分误差相比于将全部IMF分量进行重构优化了56.62%。     

城市居民区地震火灾发生率的推估方法

分析了地震火灾产生的原因及其影响因素,提出了一个城市地震火灾危险性分析的模型,利用民事火灾的统计分析结果,给出了城市地震火灾发生率的公式,在此基础上探讨了地震火灾危险性分析方法,给出了分析实例。     

火灾现场勘验中危险因素探究

火灾现场勘验中存在多种危险因素,严重威胁着勘验人员的人身安全。对倒塌、烟气和触电等火灾现场中几种常见的危险因素,在深入分析其形成机理和危害特征的基础上,有针对性地提出了各种危险因素的预防措施。