| ID | 原文 | 译文 |
| 11434 | 在粒子滤波算法框架下,提出一种改进的地图辅助人员定位方法。 | In the framework of particle filter algorithm, an improved map support personnel positioning method. |
| 11435 | 该方法通过引入粒子的方向加权,充分利用地图信息; | The method by introducing particles in the direction of the weighted, make full use of map information; |
| 11436 | 克服了传统方法中由地图信息错误导致定位失败的缺点,提高了定位算法的稳健性。 | Overcome the traditional method of positioning the shortcoming of failure by the map information error, improve the localization algorithm robustness. |
| 11437 | 通过传感器的实测数据对算法进行验证,新方法随时间变化可保持1m的定位精度,相对于传统方法有较大提高。 | Through the measured data of sensor to verify this algorithm, the new method changes over time can keep the positioning accuracy of 1 m, compared with the traditional method is improved greatly. |
| 11438 | 为降低测试性验证试验费用,提出基于遗传算法的故障样本优化选取方法。 | To reduce the cost of testability verification experiment, put forward the failure sample selection optimization method based on genetic algorithm. |
| 11439 | 方法通过故障—测试关联分析和故障—故障等价分析,确定初始故障样本集中各元素对应的等价集,并对初始故障样本集进行扩展。 | Methods by fault - test correlation analysis and fault - equivalent analysis, to determine the initial failure sample concentration corresponding to each element equivalent set, and the initial fault samples set to extend. |
| 11440 | 在此基础上,建立了故障样本选取优化求解模型。 | On this basis, the fault sample selection optimization solution model is established. |
| 11441 | 在不降低样本注入数量和测试特性的条件下,以试验费用最小为优化目标,给出了基于改进遗传算法的样本优化选取方法。 | In not reduce the number of sample injection and test conditions, the characteristic of the minimum test cost as the optimization goal, gives a sample selection optimization method based on improved genetic algorithm. |
| 11442 | 算例应用结果表明,该方法设计的故障样本选取方法能有效降低测试性验证试验费用。 | The example application results show that the method of fault sample selection methods can effectively reduce the cost of testability verification experiment. |
| 11443 | 为了保证无线传感器网络(wireless sensor network,WSNs)内部节点入侵检测中具有较高的检测率和较低的误检率,提出了一种基于节点信任值的层簇式WSNs入侵检测方案。 | In order to ensure that the wireless sensor network (wireless sensor network, WSNs) internal nodes in the intrusion detection has high detection rate and lower false detection rate, this paper proposes a layer of cluster based on node trust value type WSNs intrusion detection scheme. |