概率语言环境下考虑专家心理行为的QFD方法

为解决传统质量功能展开(QFD)在实际运用过程中存在关于顾客需求和工程技术之间的关系评估,顾客需求权重的确定和工程技术的优先级排序等方面的固有缺陷,提出一种概率语言环境下考虑专家心理行为的QFD方法. 运用概率语言连乘层次分析法(PL-MAHP)确定顾客需求初始权重,针对顾客需求之间的关联关系,运用模糊认知图(FCM)对顾客需求进行推理分析并获取其最终权重；为有效地处理QFD团队专家评估信息中的模糊性和不确定性,使用概率语言术语集(PLTS)表征顾客需求和工程技术之间的关联强度,并将交互式多属性决策(TODIM)拓展到概率语言环境中,依据各个工程技术的全局占优度来最终确定工程技术的重要度,充分考虑了专家心理行为对工程技术的优先级排序的影响.在电动汽车产品开发实例中运用本文方法结果表明,该方法能合理有效地确定最终重要度. 与现有其他方法对比分析,验证了本文方法的优越性.     

Complex log file synthesis for rapid sandbox-benchmarking of security- and computer network analysis tools

Today Information and Communications Technology (ICT) networks are a dominating component of our daily life. Centralized logging allows keeping track of events occurring in ICT networks. Therefore a central log store is essential for timely detection of problems such as service quality degradations, performance issues or especially security-relevant cyber attacks. There exist various software tools such as security information and event management (SIEM) systems, log analysis tools and anomaly detection systems, which exploit log data to achieve this. While there are many products on the market, based on different approaches, the identification of the most efficient solution for a specific infrastructure, and the optimal configuration is still an unsolved problem. Today׳s general test environments do not sufficiently account for the specific properties of individual infrastructure setups. Thus, tests in these environments are usually not representative. However, testing on the real running productive systems exposes the network infrastructure to dangerous or unstable situations. The solution to this dilemma is the design and implementation of a highly realistic test environment, i.e. sandbox solution, that follows a different – novel – approach. The idea is to generate realistic network event sequence (NES) data that reflects the actual system behavior and which is then used to challenge network analysis software tools with varying configurations safely and realistically offline. In this paper we define a model, based on log line clustering and Markov chain simulation to create this synthetic log data. The presented model requires only a small set of real network data as an input to understand the complex real system behavior. Based on the input׳s characteristics highly realistic customer specified NES data is generated. To prove the applicability of the concept developed in this work, we conclude the paper with an illustrative example of evaluation and test of an existing anomaly detection system by using generated NES data.     

Professional burnout in clinical military psychologists: Recommendations before, during, and after deployment.

Clinical military psychologists (CMPs) hold one of the most difficult positions within professional psychology. Given their exposure to a variety of environmental, physical, psychosocial, and emotional stressors, professional burnout (PB) can be a serious issue for CMPs. In order to (a) protect job satisfaction, (b) increase professional confidence, (c) facilitate a long and rewarding military career, and (d) ensure competent care is provided to our clients, a two-pronged approach of CMPs taking care of themselves on the one hand, and the military providing effective assessment, prevention, and intervention, on the other hand, is needed. Such an approach to protecting the military's limited mental health resources could ultimately ensure that service members receive proper care. In this article, the authors discuss the challenges experienced by CMPs as potential contributors to PB during all three phases of the deployment cycle. Several recommendations are offered for addressing such challenges. (PsycINFO Database Record (c) 2011 APA, all rights reserved)     

美国“先进中距空空导弹”AIM-120的发展及启示(1)

美国"先进中距空空导弹"(AMRAAM)是当今世界上最先进、生产数量最多的现役雷达型中距空空导弹。本文全面阐述了美国先进中距空空导弹的作战要求、研制方案、研制过程、试验与鉴定以及改进改型情况,介绍了该导弹的生产装备和作战使用情况,梳理了导弹研制、生产和使用过程中出现的问题,总结了导弹研制和生产过程中项目管理的经验和教训以及导弹研制和发展带给我们的启示和借鉴。     

A contractor pre-qualification model based on the quality function deployment method

Contractors play a significant role in construction projects and selection of the most appropriate contractor for the project is a critical decision for clients. The pre-qualification of construction contractors is accounted as a very important step in contractor selection for every project. The main purpose of pre-qualification is to identify an array of eligible contractors, which is required for post-qualification steps and further considerations. Although there have been numerous models for contractor pre-qualification, there are inadequate researches to present a contractor pre-qualification model with consideration of the project objectives or the project owner’s requirements. A new contractor pre-qualification model was developed with the aim of resolving this issue. This model employs the quality function deployment (QFD) method, and considers both the project owner’s requirements and the contractor’s abilities. The results reveal that consideration of the project objectives or the project owner’s requirements and expectations can influence contractor pre-qualification.     

Optimizing content routers deployment in large‐scale information centric core‐edge separation Internet

In this paper, we investigate the optimization of content router deployment in large‐scale information centric core‐edge separation Internet. We formulate the target cost function, which captures the trade‐off between the cost for traffic transmission and cost due to additional deployment of content routers. To solve the problem, we first derive the analytical results of traffic ratio and its closed‐form approximation. We then construct a convex optimization problem, from which the optimal deployment probability can be solved. By extensive numerical results, the accuracy of the closed‐form approximation of traffic ratio is demonstrated. And, it is found that the optimal deployment probability is decided by the average number of hops for obtaining the content, the cost for traffic transmission, and the cost of extending router to content router. Copyright © 2013 John Wiley & Sons, Ltd.     

基于遗传算法的组网雷达优化部署

组网雷达优化部署是发挥雷达网互补与倍增性能的前提和基础,由于雷达网部署涉及的因素很多,是一个多约束条件的多目标优化问题。采用一种基于遗传算法的组网雷达优化部署算法,采用综合性能函数作为优化目标函数,在种群产生时加入约束条件,将有约束问题转化为无约束的优化问题,克服了枚举法执行速度慢和专家推理法知识组合爆炸的问题。仿真结果表明,该方法能达到最优或准最优解,是一种有效的组网雷达优化部署方法。     

LTE-A中异构蜂窝网络下的切换技术研究

随着小型蜂窝基站的大量部署,异构网络环境越来越复杂,为了保证用户在小型蜂窝基站和宏基站的无缝移动,用户对移动性管理也提出了更高的要求。因此,异构蜂窝网络的移动性管理成为未来通信的一个重要技术。本文针对小型蜂窝基站的大量部署和用户的频繁移动带来的切换问题进行分析,总结了LTE-A切换的基本知识,并进一步归纳了LTE-A中异构蜂窝网络下切换技术的关键研究点。     

考虑模拟退火算法的多阶段主动配电网规划模型

为了提高多阶段主动配电网的规划能力,提出基于模拟退火算法的多阶段主动配电网规划模型。进行配电网规划的最优路径配置,结合输出功耗的自适应分配方法进行节点部署。构建多阶段主动配电网规划的参数解析模型,实现多阶段主动配电网规划过程中的寻优控制。通过结合模拟退火算法构建多阶段主动配电网规划模型,完成模拟退火寻优,进而实现多阶段主动配电网规划。仿真结果表明,采用该方法进行多阶段主动配电网规划的自适应调度能力较好,负载均衡能力较强,能够提高多阶段主动配电网规划的可靠性。     

浅谈重介质回收工艺部署

该文介绍了两种重介选煤重介擀回收系统不同工艺部署情况,对这两种情况介耗的高低进行系统分析。