办有特色期刊 走精品化道路——学报建设发展20年巡礼

对学报创刊 20年初创调整、改革进取和锻造品牌特色三个阶段进行了回顾;论述了学报在学院教学科研及部队建设中的地位和作用;总结分析了 20年的办刊经验,并从中得到了一些启示。     

论老解放区的参军动员--以山东解放区莒南县为个案的分析

中国革命的胜利靠得是中国共产党有效地解决了农民的土地问题,赢得了农民的支持.但并不是农民分到了土地,就积极主动地参军支前,而是通过党的各级组织以及在减租减息和土改过程中建立并逐步得到强化的各种组织的细密的组织动员而实现的.     

林登·约翰逊和美国对越南战争的升级

1965年2月美国决定对北越实行轰炸;同年3月,决定派出地面部队保护美军在越南的军事基地;7月之后美国派往越南的地面部队达到20多万。美国对越南战争逐渐升级,在越南战争的泥潭中越陷越深,不能自拔。在这个重大失误决策过程中,约翰逊总统起了关键作用,他个人的人格缺陷和美国政府决策体制上的问题是根本原因。     

中华武德文化研究论纲

中华武德文化起源于部落战争,成熟奠基于春秋;战国“百家争鸣”,推进了武德文化的繁荣与创新;秦汉三国时期兵儒合一为主流的武德文化体系初步确立;由唐至明,中华武德文化经历了由衰微———复兴———衰微———复兴的曲折发展道路,民族魂在国危之秋崛起;从后金到满清,从清政府统一中国到辛亥革命,中华武德文化实现空前统一,革命性转型在反帝斗争中雏现。     

实现大空域变轨的三维虚拟目标比例导引律

为了实现反舰导弹的大空域变轨,提出了一种三维虚拟目标比例导引律。该导引律利用简单的控制指令就能控制导弹完成复杂的大空域变轨。采用变轨弹道可以提高导弹的机动性,有效地对抗敌方反导武器系统的拦截,提高突防能力。同时,采用变轨弹道可以增大导弹的射程,实现防区外发射,从而有效地提高发射平台的生存能力。最后,通过仿真实例证明所提出的导引律是很有效的。     

20世纪90年代以来美国中国军事问题研究兴起原因探析

本文对20世纪90年代以来美国中国军事问题研究兴起的原因作了探析,指出中国的掘起和未来发展方向引起了美国深切关注;美国把中国人民解放军视作了潜在对手;美国官方的强烈需求促成了中国军事问题研究的繁荣;而中国的改革开放和中美军事交往的恢复与发展为这一研究的繁荣提供了契乱。     

《江泽民创新思想研究》评介

本文认为,《江泽民创新思想研究》系统地阐述了江泽民的创新观及其内涵、特征和意义,较好地反映出江泽民创新思想的核心内涵和立体思维,全书构思新颖、结构严谨合理,是一部研究党永葆生机源泉的力作。     

跳频电台自动测试系统设计

目前跳频电台的最好的检测方式是采取综合测试系统代替传统的测试仪器。以采样定理为基础,通过对三种跳频电台采样方案的比较得出结论,黑盒中频数字化方法是目前最合理的选择。给出了基于PCI总线构建跳频电台自动测试系统的硬件平台和软件测试方法。跳频电台自动测试系统可以完成对跳频电台指标的测试,并具有通用性。     

Scheduling a production–distribution system to optimize the tradeoff between delivery tardiness and distribution cost

We consider a make‐to‐order production–distribution system with one supplier and one or more customers. A set of orders with due dates needs to be processed by the supplier and delivered to the customers upon completion. The supplier can process one order at a time without preemption. Each customer is at a distinct location and only orders from the same customer can be batched together for delivery. Each delivery shipment has a capacity limit and incurs a distribution cost. The problem is to find a joint schedule of order processing at the supplier and order delivery from the supplier to the customers that optimizes an objective function involving the maximum delivery tardiness and the total distribution cost. We first study the solvability of various cases of the problem by either providing an efficient algorithm or proving the intractability of the problem. We then develop a fast heuristic for the general problem. We show that the heuristic is asymptotically optimal as the number of orders goes to infinity. We also evaluate the performance of the heuristic computationally by using lower bounds obtained by a column generation approach. Our results indicate that the heuristic is capable of generating near optimal solutions quickly. Finally, we study the value of production–distribution integration by comparing our integrated approach with two sequential approaches where scheduling decisions for order processing are made first, followed by order delivery decisions, with no or only partial integration of the two decisions. We show that in many cases, the integrated approach performs significantly better than the sequential approaches. © 2005 Wiley Periodicals, Inc. Naval Research Logistics, 2005     

A model to predict the residual life of aircraft engines based upon oil analysis data

This paper reports on a study using the available oil monitoring information, such as the data obtained using the Spectrometric Oil Analysis Programme (SOAP), to predict the residual life of a set of aircraft engines. The relationship between oil monitoring information and the residual life is established using the concept of the proportional residual, which states that the predicted residual life may be proportional to the wear increment measured by the oil analysis programmes. Assuming such a relationship between wear and the residual life exists, we formulated a recursive prediction model for the item's residual life given measured oil monitoring information to date. A set of censored life data of 30 aircraft engines (right censored due to preventive overhaul) along with the history of their monitored metal concentration information are available to us. The metal concentration information includes many variables, such as Fe, Cu, Al, etc.; not all of them are useful, and some of them may be correlated. The principal component analysis (PCA) has been adopted to reduce the dimension of the original data set and to produce a new set of uncorrelated variables, which we shall use in the prediction model. The procedure associated with estimating model parameters is discussed. The model is fitted to the actual SOAP data from the aircraft engines, and the goodness‐of‐fit test has been carried out. © 2005 Wiley Periodicals, Inc. Naval Research Logistics, 2005.