指控系统中多操作系统启动工具的研究

指控系统中GRUB2作为启动引导器,管理多种操作系统平台。GRUB2采用模块化设计,可以提供给使用者更大的灵活性和性能改进。Linux系统的模块化设计与运行机制已被广泛讨论,有关GRUB2的模块化设计与运行机制的资料却很少。为了了解它的模块化编程与运行机制,通过对一个模块程序的分析,介绍了GRUB2中模块程序的基本结构及模块化设计的灵活性;并讨论了GRUB2的模块运行机制,明确了模块运行所需的底层工作。在此基础上,可以对GRUB2进行二次开发,扩展其应用场合。     

正反向量子斯特林循环有限时间热力学性能界限和优化准则

研究了正反向量子斯特林循环的最优性能.在经典极限下,导出了循环的有限时间热力学性能界限和优化准则.得到了斯特林热机、制冷机和热泵特性参数之间的优化关系.     

An adaptive forecasting algorithm and inventory policy for products with short life cycles

Products with short life cycles are becoming increasingly common in many industries, such as the personal computer (PC) and mobile phone industries. Traditional forecasting methods and inventory policies can be inappropriate for forecasting demand and managing inventory for a product with a short life cycle because they usually do not take into account the characteristics of the product life cycle. This can result in inaccurate forecasts, high inventory cost, and low service levels. Besides, many forecasting methods require a significant demand history, which is available only after the product has been sold for some time. In this paper, we present an adaptive forecasting algorithm with two characteristics. First, it uses structural knowledge on the product life cycle to model the demand. Second, it combines knowledge on the demand that is available prior to the launch of the product with actual demand data that become available after the introduction of the product to generate and update demand forecasts. Based on the forecasting algorithm, we develop an optimal inventory policy. Since the optimal inventory policy is computationally expensive, we propose three heuristics and show in a numerical study that one of the heuristics generates near‐optimal solutions. The evaluation of our approach is based on demand data from a leading PC manufacturer in the United States, where the forecasting algorithm has been implemented. © 2004 Wiley Periodicals, Inc. Naval Research Logistics, 2004.     

初中生情绪不安全感与攻击行为的关系

本文基于情绪安全感理论,探讨初中生情绪不安全感与攻击行为的关系,采用问卷调查的方式,对新疆某市区274名初中生进行调查。结果显示:①初三年级间接攻击水平显著高于初一年级(F=4.41,p<0.05);②初一、初二年级情绪不安全感水平显著高于初三年级(F=8.31,p<0.001);③初中生情绪不安全感与攻击行为之间存在显著正相关(r=0.32,p<0.01)。调查结果表明,降低初中生的情绪不安全感水平,有助于减少其攻击行为的发生。     

相依网络研究综述

网络相依性和相依网络研究已经成为近年来复杂网络领域的热点,但是目前对相关研究进展进行综合归纳的文献却不多见。在对国内外相关文献进行系统分析的基础上,简要介绍相依网络研究涉及的渗流理论;描述该类型网络的级联失效过程;从相依网络的子网络特性、相依边的方向和类型、子网络组合方式等三个角度对相依网络鲁棒性的研究成果进行总结;并从理论和应用两方面对未来相依网络研究的发展方向进行展望。     

485通信总线的可靠性设计

本文阐述了RS-485总线规范，描述了影响RS-485总线通信速率和通信可靠性的几个因素，分析了产生的原因并给出解决问题的软硬件方案和措施。     

着眼装备信息化的长远发展积极科学的建设好装备基础数据库

信息化战争是信息化武器装备发展到成熟时期、新军事变革发展到高级阶段、社会变革跨入信息时代的最新战争模式。信息化战争离不开信息化的装备，装备信息化的建设也离不开装备管理的信息化，装备管理信息化的水平对装备信息化本身的发展会起到很重要的促进作用，装备基础数据库则是装备管理信息化的基础。本文将重点分析装备基础数据库建设的现状，阐述科学建设装备基础数据库的好处，并提出对建设通用装备基础数据库的几点思考。     

单一订货来源外购器材质量管理方法探讨

单一订货来源外购器材的质量问题，受各种因素的影响和制约，处理起来难度大、周期长，容易延误装备交付时间，通常会给承制单位造成较大的经济损失。因此，加强对供货方的质量控制是作好外购器材管理和质量控制的主要内容。     

A multi‐stage stochastic programming approach for network capacity expansion with multiple sources of capacity

In networks, there are often more than one sources of capacity. The capacities can be permanently or temporarily owned by the decision maker. Depending on the nature of sources, we identify the permanent capacity, spot market capacity, and contract capacity. We use a scenario tree to model the uncertainty, and build a multi‐stage stochastic integer program that can incorporate multiple sources and multiple types of capacities in a general network. We propose two solution methodologies for the problem. Firstly, we design an asymptotically convergent approximation algorithm. Secondly, we design a cutting plane algorithm based on Benders decomposition to find tight bounds for the problem. The numerical experiments show superb performance of the proposed algorithms compared with commercial software. © 2016 Wiley Periodicals, Inc. Naval Research Logistics 63: 600–614, 2017     

Value management of diagnostic equipment with cancelation,no‐show,and emergency patients

Magnetic resonance imaging and other multifunctional diagnostic facilities, which are considered as scarce resources of hospitals, typically provide services to patients with different medical needs. This article examines the admission policies during the appointment management of such facilities. We consider two categories of patients: regular patients who are scheduled in advance through an appointment system and emergency patients with randomly generated demands during the workday that must be served as soon as possible. According to the actual medical needs of patients, regular patients are segmented into multiple classes with different cancelation rates, no‐show probabilities, unit value contributions, and average service times. Management makes admission decisions on whether or not to accept a service request from a regular patient during the booking horizon to improve the overall value that could be generated during the workday. The decisions should be made by considering the cancelation and no‐show behavior of booked patients as well as the emergency patients that would have to be served because any overtime service would lead to higher costs. We studied the optimal admission decision using a continuous‐time discrete‐state dynamic programming model. Identifying an optimal policy for this discrete model is analytically intractable and numerically inefficient because the state is multidimensional and infinite. We propose to study a deterministic counterpart of the problem (i.e., the fluid control problem) and to develop a time‐based fluid policy that is shown to be asymptotically optimal for large‐scale problems. Furthermore, we propose to adopt a mixed fluid policy that is developed based on the information obtained from the fluid control problem. Numerical experiments demonstrate that this improved policy works effectively for small‐scale problems. © 2016 Wiley Periodicals, Inc. Naval Research Logistics 63: 287–304, 2016