基于型号性能指标的武器装备体系作战能力评估方法

武器装备体系需求方案通常只能给出装备型号的性能指标,性能指标到能力指标的转化和型号能力到体系能力的聚合成为体系评估的关键。为此,提出了从装备型号性能指标出发的武器装备体系作战能力评估方法。首先通过使命任务到能力需求的分析,建立了能力需求指标体系。然后通过建立装备性能与底层能力指标的关联关系,以及各层级能力指标之间聚合关系,得到从武器装备型号的性能指标到武器装备体系作战能力的函数关系,从而完成装备单元能力评估和装备体系子能力评估,最终得到武器装备体系作战能力评估结果。最后,通过一个实例说明该评估方法的具体步骤和可行性。     

太平天国北伐的两个问题研究

准确地说,太平天国起义后有两次北伐。太平天国第一次北伐的目的地是哪?学界多认为是小天堂南京,笔者认为应是河南和北京,否则不能解释太平天国自广西出发后游行半个中国再到南京的问题。以往论者多采用罗大纲的供词论证太平天国第二次北伐的战略,笔者认为罗大纲供词不足为据。第二次北伐为什么不取最便捷的京杭运河而由浦口向北向西,经安徽、河南等数省取北京呢?笔者认为是杨秀清军事战略的失误,这导致了太平军北伐最终失利。     

外军反舰导弹装备使用现状及发展趋势研究

反舰导弹作为海上舰船＂杀手＂,其发展一直倍受各国海军关注。文章对反舰导弹的发展历程进行了回顾,对目前外军已经装备和正在研发的典型反舰导弹进行了分析和研究。以此为基础,对未来反舰导弹的发展趋势进行了探讨和展望,提出未来新型反舰导弹将趋于超远程化、超高速化、超隐身化、网络化和智能化。     

Bicriteria scheduling on a single batching machine with job transportation and deterioration considerations

We study a single batching machine scheduling problem with transportation and deterioration considerations arising from steel production. A set of jobs are transported, one at a time, by a vehicle from a holding area to the single batching machine. The machine can process several jobs simultaneously as a batch. The processing time of a job will increase if the duration from the time leaving the holding area to the start of its processing exceeds a given threshold. The time needed to process a batch is the longest of the job processing times in the batch. The problem is to determine the job sequence for transportation and the job batching for processing so as to minimize the makespan and the number of batches. We study four variations (P1, P2, P3, P4) of the problem with different treatments of the two criteria. We prove that all the four variations are strongly NP‐hard and further develop polynomial time algorithms for their special cases. For each of the first three variations, we propose a heuristic algorithm and analyze its worst‐case performance. For P4, which is to find the Pareto frontier, we provide a heuristic algorithm and an exact algorithm based on branch and bound. Computational experiments show that all the heuristic algorithms perform well on randomly generated problem instances, and the exact algorithm for P4 can obtain Pareto optimal schedules for small‐scale instances. © 2014 Wiley Periodicals, Inc. Naval Research Logistics 61: 269–285, 2014     

高超声速横向喷流的三维数值模拟

采用有限体积法,结合半隐的Harten TVD格式和Baldwin Lomax代数湍流模型,求解了三维全N S方程,计算了超声速气流干扰流场,并与实验数据进行了比较,模拟清晰地捕捉到喷流附近复杂波系结构和旋涡结构,并且显示出了弹体表面受到喷流影响的区域,说明横向喷流干扰对弹体影响非常大。     

D0影响亚硝酸型SND工艺的机理探讨

亚硝酸型SND污水生物脱氮新工艺因兼具短程硝化和同时硝化反硝化工艺的优势而具有很强的开发潜力。在介绍亚硝酸型SND工艺特点之后,着重从微环境理论、微生物特性及化学计量学等角度较为深入地探讨了溶解氧浓度(DO)影响亚硝酸型SND工艺脱氮效果的机理,从理论上进一步证实了DO对于亚硝酸型SND工艺的重要性。     

武汉长江隧道疏散方式选择与观测分析

阐述了隧道疏散的各种方式,说明了武汉长江隧道采用下沉式滑道的纵向疏散方式的原因,对武汉长江隧道疏散系统进行了详细演习测试,并对当前拥挤状态下的通车条件进行了分析,认为只要保持交通通畅,加强管理,隧道下沉式纵向疏散系统可以满足通行客车时的人员疏散安全。     

一种新的形态中值小波图像去噪方法

图像去噪是图像预处理中一项重要环节.针对线性小波分析在图像去噪中会丢失一些细节信息这一缺点,利用数学形态学算子的非线性特征,构建了一种非线性的可用于灰度图像处理的形态中值小波,并应用于图像去噪.对比实验结果表明,该方法比线性小波去噪方法具有更好的去噪性能,图像细节信息损失更小.     

Multi-scale traffic vehicle detection based on faster R-CNN with NAS optimization and feature enrichment

It well known that vehicle detection is an important component of the field of object detection. However, the environment of vehicle detection is particularly sophisticated in practical processes. It is compara-tively difficult to detect vehicles of various scales in traffic scene images, because the vehicles partially obscured by green belts, roadblocks or other vehicles, as well as influence of some low illumination weather. In this paper, we present a model based on Faster R-CNN with NAS optimization and feature enrichment to realize the effective detection of multi-scale vehicle targets in traffic scenes. First, we proposed a Retinex-based image adaptive correction algorithm (RIAC) to enhance the traffic images in the dataset to reduce the influence of shadow and illumination, and improve the image quality. Second, in order to improve the feature expression of the backbone network, we conducted Neural Architecture Search (NAS) on the backbone network used for feature extraction of Faster R-CNN to generate the optimal cross-layer connection to extract multi-layer features more effectively. Third, we used the object Feature Enrichment that combines the multi-layer feature information and the context information of the last layer after cross-layer connection to enrich the information of vehicle targets, and improve the robustness of the model for challenging targets such as small scale and severe occlusion. In the imple-mentation of the model, K-means clustering algorithm was used to select the suitable anchor size for our dataset to improve the convergence speed of the model. Our model has been trained and tested on the UN-DETRAC dataset, and the obtained results indicate that our method has art-of-state detection performance.     

主动悬挂原理试验机动平台的设计及试验研究

某型坦克采用扭杆弹簧而无阻尼器的被动悬挂系统,实际行驶中车体的振动较大,严重影响了其行驶平稳性和乘坐舒适性;为了提高车辆的行驶平顺性和操纵稳定性,进而提高在复杂路面上的越野速度,设计了该型坦克的慢主动悬挂原理试验机动平台,采用模糊RBF神经网络自适应控制策略对主动悬挂平台进行了实车试验,结果表明车体的减振性能得到了明显的提高,验证了所设计的慢主动悬挂系统的优越性。