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941.
GPRS核心网自动拨测系统的设计与实现 总被引:1,自引:0,他引:1
GPRS核心网自动拨测系统是在GPRS核心网接口接入,以信令仿真方式向各实体发起拨测业务,从而实现业务可用情况、网元承载信令、路由通畅性、业务感知等指标的周期性自动测试的新一代业务测试系统。该系统具有独创性和前瞻性的特点,填补了国内外相关领域的空白。 相似文献
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结合"北斗"卫星定位系统的原理和特点,提出了一种基于我国自主研制双星定位系统的四级车辆指挥管理系统的设计,并分析了其组成、主要功能和特点,该系统能有效地对多辆车实行实时管理与监控,有效地提高车辆的指挥管理效率。 相似文献
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随着炮兵武器系统信息化程度的不断提高和作战样式的发展,如何根据这些变化进行科学、准确的效能评估对其作战运用等具有重要的现实意义.根据目前及将来可能的炮兵武器系统运用特点,将其划分为信息力、打击力、机动力、防护力和保障力五个分系统,用信息熵来度量各系统完成规定任务的程度,并以此为基础,提出了一种评估炮兵武器系统效能的方法,建立了评估模型,结合Matlab所绘图形对模型作了深入的分析,得出了炮兵武器系统效能与信息量并不是简单的正比关系,其增加速度经历了一个"快速增加→增加变缓→降低→趋于稳定值0"的变化过程的结论. 相似文献
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Since a system and its components usually deteriorate with age, preventive maintenance (PM) is often performed to restore or keep the function of a system in a good state. Furthermore, PM is capable of improving the health condition of the system and thus prolongs its effective age. There has been a vast amount of research to find optimal PM policies for deteriorating repairable systems. However, such decisions involve numerous uncertainties and the analyses are typically difficult to perform because of the scarcity of data. It is therefore important to make use of all information in an efficient way. In this article, a Bayesian decision model is developed to determine the optimal number of PM actions for systems which are maintained according to a periodic PM policy. A non‐homogeneous Poisson process with a power law failure intensity is used to describe the deteriorating behavior of the repairable system. It is assumed that the status of the system after a PM is somewhere between as good as new for a perfect repair and as good as old for a minimal repair, and for failures between two preventive maintenances, the system undergoes minimal repairs. Finally, a numerical example is given and the results of the proposed approach are discussed after performing sensitivity analysis. © 2007 Wiley Periodicals, Inc. Naval Research Logistics, 2008 相似文献
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This paper studies a scheduling problem arising in a beef distribution system where pallets of various types of beef products in the warehouse are first depalletized and then individual cases are loaded via conveyors to the trucks which deliver beef products to various customers. Given each customer's demand for each type of beef, the problem is to find a depalletizing and truck loading schedule that fills all the demands at a minimum total cost. We first show that the general problem where there are multiple trucks and each truck covers multiple customers is strongly NP‐hard. Then we propose polynomial‐time algorithms for the case where there are multiple trucks, each covering only one customer, and the case where there is only one truck covering multiple customers. We also develop an optimal dynamic programming algorithm and a heuristic for solving the general problem. By comparing to the optimal solutions generated by the dynamic programming algorithm, the heuristic is shown to be capable of generating near optimal solutions quickly. © 2003 Wiley Periodicals, Inc. Naval Research Logistics, 2003 相似文献