排序方式: 共有41条查询结果,搜索用时 27 毫秒
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使用对策论的观点和方法 ,结合搜索论的知识 ,建立了一类搜索 -规避对抗对策模型 .对模型的结论做了系统分析 ,考虑了对策双方的最优策略及使用 . 相似文献
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电子战仿真系统中防空武器作战效能研究 总被引:7,自引:1,他引:6
介绍了电子战仿真系统总体结构,研究了空中拦截、地对空导弹及高炮等模块的作战效能模型,并用Monte Carlo 试验方法分析了系统的电子对抗作战效能 相似文献
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潜艇耐压壳动力学响应和声辐射研究概况与趋势 总被引:10,自引:3,他引:7
论述了流场中潜艇耐压壳自由振动、受简谐力或力矩作用和受冲击载荷情况下的动力学响应和声辐射研究概况 ,讨论了带有阻尼材料的复合潜艇耐压壳的动力学和声辐射研究情况 ,以及阻尼材料的破坏研究概况 ,并指出了今后的研究方向 相似文献
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采用位移贯入法施加荷载,以修正剑桥模型作为土体本构关系模型,通过在桩-土界面设置接触面并采用自定义初始孔隙比分布的子程序VOIDRI实现初始孔隙比随深度的非线性分布,建立较为符合压入管桩压桩实际的有限元模型,对压入管桩压桩产生的挤土位移进行数值模拟研究,讨论压入管桩压桩产生的竖向和水平挤土位移沿深度方向和径向的分布规律。研究结果表明:随径向距离的增大,浅层土体的竖向挤土位移逐渐由沉降变为隆起,而深层土体的竖向挤土位移始终表现为沉降;随深度的增大,至桩中心距离较小处土体的竖向挤土位移始终表现为沉降,而至桩中心距离较大处土体的竖向挤土位移逐渐由隆起变为沉降;不同深度土体的水平挤土位移沿径向的分布规律和不同径向距离土体的水平挤土位移沿深度方向的分布规律都趋于一致。最后提出能够有效减小压入管桩挤土效应的施工措施。 相似文献
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本文针对某夜视激光测距机的原理结合相关产品实际,分析了引起激光测距产品“四轴超差”问题的末端因素,并对相关末端因素逐一进行确认,找出主要原因,制定相应对策。力争为相关激光测距产品“四轴超差”问题提供参考。 相似文献
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军史编研人员是传承历史续写文明的"播火者".在培育和践行当代革命军人核心价值观活动中,必须以身作则、率先垂范、努力学习、躬身践行.一是要深刻理解精髓要义,切实增强模范践行的责任感;二是要充分认清职责使命,切实提高模范践行的高标准;三是要严格落实规章制度,切实塑造模范践行的好形象. 相似文献
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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. 相似文献