ID 原文 译文
47876 针对采用epidemic机制的机会网络路由算法在汇总矢量(summary vector,SV)的交换、存储和请求矢量(request vector,RV)的交换过程中存在冗余开销影响效率的问题,提出一种基于自适应矢量压缩的路由算法(epidemic routing based on adaptive compression of vector,ERACV),所提算法通过采用自适应压缩SV和RV的长度、改进SV交换、收到SV分组后优先发送目的地为相遇节点的数据分组等新机制,减少控制开销和节点的存储开销,降低数据分组时延。 In view of the mechanism of epidemic opportunity network routing algorithm in the consolidated vector (summary vector, SV) request for exchange, storage, and vector (request vector, RV) in the process of the exchange of the redundant costs affect the efficiency of the problem, put forward a routing algorithm based on adaptive vector compression (epidemic routing -based on the adaptive compression will of vector, ERACV), the proposed algorithm by using adaptive compression SV and the length of the RV, improvement of SV exchange, after receiving the SV packet priority send destination nodes to meet the data block mechanism, such as storage costs, reduce the control overhead and node to reduce data packet delay.
47877 理论分析验证了ERACV算法的有效性,仿真结果显示,与经典的感染路由算法分销及其改进后的消息传输控制算法相比,ERACV算法的控制和SV存储开销分别减少了39%和96.4%,数据分组的平均端到端时延则降低了2.5%以上,并且维持了100%的数据传送成功率。 Theoretical analysis to verify the effectiveness of the ERACV algorithm, simulation results show that, with the classic infection distribution routing algorithm and the improved message transmission control algorithm, compared with control and SV ERACV algorithm storage cost decreased by 39% and 96.4% respectively, the average end-to-end data grouping ShiYanZe reduced more than 2.5%, and to maintain the data transfer success rate by 100%.
47878 针对信息系统毁伤评估中评估目标难以界定的问题,提出了基于能力降阶的毁伤评估模型,将支撑作战任务的信息能力降阶为子任务能力级、信息服务级和服务组件级。 For damage assessment of information system evaluation target is difficult to define the problem, based on the ability to damage assessment model of order reduction, will tend to support the mission of reduced order for subtasks ability level information ability, information service and the service components.
47879 分析了毁伤在上下级之间的逻辑传递关系、线性传递关系、指数衰减关系和门限判别关系,并基于解释结构模型,构建毁伤影响关系矩阵,用以分析同级之间的毁伤级联传播关系,定义模型的毁伤评估树结构和评估计算步骤。 Analyzed the damage in the transitive relation of logic, linear transfer relationship between higher and lower, exponential attenuation relationship and threshold criterion, and based on the explanation structure model, build a relationship between the damage matrix, to mutilate cascade communication relationship between analysis at the same level, define the model of damage assessment in tree structure and calculation steps.
47880 最后,以防空反导指挥信息系统为算例,分析验证了模型的有效性。 Finally, air defense missile command information system as example, analysis to verify the validity of the model.
47881 提出一种新的基于自动索引的单元平均恒虚警概率目标检测算法。 Put forward a new unit based on the automatic indexing average target detection algorithm of constant false-alarm probability.
47882 首先采用具有较强模型兼容性的G0分布对杂波统计特性进行建模; First USES the model has strong compatibility G0 distribution modeling for clutter statistical properties;
47883 通过基于G0分布的全局阈值预分割算法生成目标索引矩阵,以去除干扰目标像素,提高恒虚警概率算子对复杂场景的适用性; Based on G0 distribution of global threshold segmentation algorithm to generate the target index matrix, to remove interference target pixels, improve operator on the applicability of the complex scene of constant false-alarm probability;
47884 采用一种基于积分图像的快速策略,大大降低了算法的运行时间,使得算法的计算时间复杂度与滑动窗口的尺寸无关; Adopt a quick strategy based on integral image, greatly reduces the running time of the algorithm and makes the computing time complexity of the algorithm has nothing to do with the size of the sliding window.
47885 最后,通过计数滤波和形态学处理得到精确的目标检测结果。 Finally, by counting filter and morphological processing precise target detection results are obtained.