ID 原文 译文
39976 利用聚合点和传感器的节点得到传感器通信半径内的数据采集点， Then we find the data acquisition point within the sensor communication radius through the aggregation point and the sensor node.
39977 最后通过SOM得到水下机器人（Autonomous underwater vehicle，AUV）到各个数据采集点采集数据的最优路径。 Finally, the optimal path of autonomaous underwater vehicle(AUV)to each data collection point is found through SOM.
39978 经过实验验证，在水下1 200 m×1 750 m范围内布置52个传感器节点的情景下，数据采集点相比于传感器节点路径规划采用相同的采集顺序得到的路径优化了6.7%； In the verification experiment, 52 sensor nodes are arranged within a range of 1 200 m × 1 750 m under the water, and the path obtained by data collection points is optimized by 6.7% compared with the path planning of sensor nodes in the same acquisition sequence.
39979 对数据采集点重新进行自组织路径规划得到的路径比传感器结点路径的最优解提高了12.2%。 Compared with the optimal solution of sensor node path, the path obtained by reorganizing the self-organizing path planning of data collection points is improved by 12.2%.
39980 增加传感器节点的数量，其结果也大致相同，因此采用该方法可以提高水下机器人采集数据的效率。 The results of increasing the number of sensor nodes are similar, so the proposed method can improve the data acquisition efficiency of AUV.
39981 通过非侵入式负荷监测技术，可以更为详细地了解居民各个时段的用电信息，帮助其制订合理的用电计划，以达到科学用电。 Through non-intrusive load monitoring technology, a more detailed understanding of the electricity consumption information of residents at various time periods can be obtained, This can help us to develop a reasonable electricity consumption plan for scientific electricity use.
39982 非侵入式负荷监测技术的重点是暂态事件的监测，本文提出希尔伯特振动分解（Hilbert vibration decomposition，HVD）算法对用电设备开启瞬间的功率、电流等电气参数变化时存在的突变点进行暂态事件的监测。 The focus of non-intrusive load monitoring technology is the detection of transient events. The proposed Hilbert vibration decomposition(HVD)algorithm detects the transient events in the sudden change of electrical parameters such as power and current when the electrical equipment is turned on.
39983 HVD算法负荷监测与双边滑动窗CUSUM变点监测算法相比，不用设定阈值，所以漏检和误检的可能性大大降低。 Compared with the double-sliding window CUSUM change point detection algorithm, the HVD algorithm load detection does not need to set a threshold, so the possibility of missed and false detection is greatly reduced.
39984 通过MATLAB/Simulink仿真软件搭建相应的电路模型，仿真分析得出HVD算法可以有效地对暂态事件进行辨识。 The corresponding circuit model is built by MATLAB/Simulink simulation software, and the simulation analysis shows that the HVD algorithm can effectively identify transient events.
39985 从复杂网络角度出发，基于时间序列数据构建了人工智能在线翻译搜索指数的网络模型，并根据我国实际数据分析其网络结构特征。 From the perspective of complex networks, this paper constructs a network model of the search index of artificial intelligence online translation based on the time series data, and then analyzes its structure characteristics based on actual data from China.