任意载荷作用下各向异性矩形薄板的弯曲解

常用的复合材料板多为各向异性板。为求解这种板的弯曲问题 ,利用复数形式的三角级数解和双正弦级数解来建立各异向性矩形薄板弯曲问题微分方程的一般解 ,可以求解任意载荷作用下各种边界的弯曲问题。以四边固支的正方形板为例进行了数值计算 ,其结果与文献比较是一致的。这种一般解析解法理论简单全面 ,便于实际应用     

通用导弹告警设备的试验和研究

导弹在进攻时,其截面相当于一个偶极子天线或单根箔条,利用导弹对特定频率雷达信号的谐振特性来增大目标的散射截面积。通过反辐射导弹告警实验设备系统的实弹打靶试验,验证了该理论的正确性和可行性。     

略论高校德育教育方式方法的创新

面对市场经济的发展,高校德育工作必须在方式方法上有所创新。本文从转变观念、丰富内容、拓展渠道三个方面论述开展德育工作的新方法和新思路。     

汇编语言的单元测试技术研究

汇编语言具有非结构化、非标准化、硬件相关性高、灵活性极大等特性,单元测试难度较大.针对汇编语言的特点,论述了汇编语言单元测试过程中功能测试、结构覆盖率测试和性能测试的方法和步骤.     

海战场信息系统和武器系统综合仿真技术研究

本文分析了海战场信息系统仿真的特点,介绍了可以应用于海战场信息系统和武器系统综合仿真的高层体系结构(HLA)技术,描述了澳大利亚国防科学与技术组织(DSTO)基于HLA技术的虚拟舰艇概念和潜在的应用,以及虚拟舰艇结构和层次化联邦共同体概念的设计方法。     

一种基于可用性的战术通信子网评估方法

针对战术通信子网可用性建模,利用马尔可夫方法对单网可用性模型进行了数学分析,采用蒙特卡洛仿真法进行验证,并给出了一种考虑了战术层级特点以及节点权重的通信网可用性仿真模型,计算可用性参数来对系统做出可用性评估.实验结果表明,该仿真方法具有一定的有效性和可用性,为战术通信网可用性评估提供了新的思路及参考方法.     

Background dominant colors extraction method based on color image quick fuzzy c-means clustering algorithm

A quick and accurate extraction of dominant colors of background images is the basis of adaptive camouflage design. This paper proposes a Color Image Quick Fuzzy C-Means (CIQFCM) clustering algorithm based on clustering spatial mapping. First, the clustering sample space was mapped from the image pixels to the quantized color space, and several methods were adopted to compress the amount of clustering samples. Then, an improved pedigree clustering algorithm was applied to obtain the initial class centers. Finally, CIQFCM clustering algorithm was used for quick extraction of dominant colors of background image. After theoretical analysis of the effect and efficiency of the CIQFCM algorithm, several experiments were carried out to discuss the selection of proper quantization intervals and to verify the effect and efficiency of the CIQFCM algorithm. The results indicated that the value of quantization intervals should be set to 4, and the proposed algorithm could improve the clustering efficiency while maintaining the clustering effect. In addition, as the image size increased from 128 × 128 to 1024 × 1024, the efficiency improvement of CIQFCM algorithm was increased from 6.44 times to 36.42 times, which demonstrated the significant advantage of CIQFCM algorithm in dominant colors extraction of large-size images.     

Peridynamic modeling and simulation of thermo-mechanical de-icing process with modified ice failure criterion

De-icing technology has become an increasingly important subject in numerous applications in recent years. However, the direct numerical modeling and simulation the physical process of thermo-mechanical deicing is limited. This work is focusing on developing a numerical model and tool to direct simulate the de-icing process in the framework of the coupled thermo-mechanical peridynamics theory. Here, we adopted the fully coupled thermo-mechanical bond-based peridynamics (TM-BB-PD) method for modeling and simulation of de-icing. Within the framework of TM-BB-PD, the ice consti-tutive model is established by considering the influence of the temperature difference between two material points, and a modified failure criteria is proposed, which takes into account temperature effect to predict the damage of quasi-brittle ice material. Moreover, thermal boundary condition is used to simulate the thermal load in the de-icing process. By comparing with the experimental results and the previous reportedfinite element modeling, our numerical model shows good agreement with the pre-vious predictions. Based on the numerical results, we find that the developed method can not only predict crack initiation and propagation in the ice, but also predict the temperature distribution and heat conduction during the de-icing process. Furthermore, the influence of the temperature for the ice crack growth pattern is discussed accordingly. In conclusion, the coupled thermal-mechanical peridynamics formulation with modified failure criterion is capable of providing a modeling tool for engineering ap-plications of de-icing technology.     

改进的YOLOV3算法在小目标检测中的研究与应用

战场目标的图像检测与识别对于战场监视、侦察、毁伤状态评估和火控系统研究等具有重要作用.以坦克装甲目标为研究对象,选用识别精度高、速度快的YOLOV3为基础目标检测模型,针对复杂战场环境中获取图像目标特征信息少的问题,引入多尺度特征增强结构的方法对YOLOV3模型进行改进,通过丰富特征图多样性的方式,提高模型性能.在坦克数据集上的实验结果表明,改进后的算法对于复杂战场环境下的小目标特征具有更强的敏感性,较大程度上增强了模型的识别精度.     

基于超网络的近距空中支援信息流转模式构建

稳健灵活的信息流转模式是近距空中支援顺利实施的重要保障.针对近距空中支援信息流转模式构建问题,建立基于超网络的作战信息流转"两层四网"模型.根据作战经验,分析近距空中支援作战的主要作战力量及基本流程,抽象出相应的作战节点和信息关系,以此建立近距空中支援作战信息流转超网络模型.针对超网络节点的超度分布、网络弹性等特性进行仿真实验.仿真结果表明,当前近距空中支援超网络具有一定的合理性和稳定性,同时为下一步优化作战网络结构提供了参考.