ID 原文 译文
9424 通过语义和"情境响应"方法拓展了物元分析结构,并赋予其语义解释及响应的功能。 Through semantic and contextual response method to expand the matter-element analysis structure, and gives its semantic interpretation and response function.
9425 针对决策人员不在现场的情况,构建了物元结构决策(matter-element structure for decisionmaking,MESDM)模型。 In view of the decision makers of the scene, build the structure of the matter-element decision (matter - element structure for decisionmaking, MESDM) model.
9426 最后,实证分析了MESDM及其有效性、及时性和可操作性,为进一步研究MESDM的人机智能决策奠定了基础。 Finally, the empirical analysis of MESDM and its effectiveness, timeliness and operability, for further research on MESDM human-machine intelligent decision-making laid a solid foundation.
9427 为在空中预警监视系统中实现多异类传感器多目标联合检测、跟踪与识别,在多目标检测、跟踪的随机有限集模型基础上,进行多异类传感器多目标联合检测、跟踪与识别的理论模型与处理框架研究。 For early warning and monitoring system in the air in achieving more heterogeneous sensor joint detection, tracking and recognition, in target detection and tracking based on random finite set of models, multiple heterogeneous sensor target joint detection, tracking and recognition theoretical model and research processing framework.
9428 通过对目标的运动学状态与目标识别属性状态统一描述,把多目标状态建模为一个用随机有限集描述的全局状态。 ‭Through the kinematics of the target state and target recognition properties state unified description, use multiple target state modeled as a random finite set description of global state.
9429 通过对运动学传感器与属性传感器模型分析,把各异类传感器建模为一个全局传感器,并把各传感器的测量建模为一个用随机有限集描述的全局测量。 ‭Through analysis on kinematics of sensor and sensor property model, the different kind of sensor modeling for a global sensor, and the measurement of each sensor modeling for a global measurement described in stochastic finite set.
9430 根据全局状态与全局测量模型,把异类传感器多目标联合检测、跟踪与识别过程描述为Bayes滤波过程,并给出了相应的多异类传感器多目标联合检测、跟踪与识别处理框架。 ‭According to the global state and global measurement model, the heterogeneous sensor multi-target joint detection, tracking and identifying process description for the Bayes filtering process, and gives the corresponding multiple heterogeneous sensor multi-target joint detection, tracking and recognition processing framework.
9431 通过仿真试验验证了理论模型与框架的有效性。 ‭Theoretical model is verified by simulation test and the effectiveness of the proposed framework. ‭
9432 针对带状责任探测区多架预警机协同探测问题,根据是否进行更高层级的多情报源信息融合处理,定义了两种协同模式。 For strip responsibility detection area for multiple cooperating awacs detection problems, according to whether the higher level of intelligence source information fusion processing, defines two collaborative model.
9433 构建了多预警机实时探测覆盖区估算模型; Build more awacs real-time detection coverage estimation model;