With the sharp increase of China＇s in-orbit spacecraft and the constraint TT＆C resources, a mathematical model for optimal TT＆C resource allocation is proposed, and the TT＆C facility remote monitoring function is ...With the sharp increase of China＇s in-orbit spacecraft and the constraint TT＆C resources, a mathematical model for optimal TT＆C resource allocation is proposed, and the TT＆C facility remote monitoring function is designed to achieve the multitask operation pattern under the unified management of the network management center. With this pattern, the TT＆C network management and the spacecraft management are separated, which is quite different from the previous pattern. Further, a novel spacecraft TT＆C technique based on spacecraft control language is developed, and the telecommanding pattern is designed to address the spacecraft operation problems. The engineering application shows that this pattern fundamentally improves the TT＆C network capability, increases the resource efficiency, and satisfies the efficient, accurate, and flexible operation of spacecraft.展开更多
以Web of Science(SCI-E,SSCI,A&HCI)为数据源,统计得到美国伊利诺伊大学厄本那香槟分校(UIUC)图书情报学学院(GSLIS)1936-2012年文献690篇。运用文献计量学的方法,从年代分布、来源期刊、科研合作等角度,采用定量方法对所收集的文...以Web of Science(SCI-E,SSCI,A&HCI)为数据源,统计得到美国伊利诺伊大学厄本那香槟分校(UIUC)图书情报学学院(GSLIS)1936-2012年文献690篇。运用文献计量学的方法,从年代分布、来源期刊、科研合作等角度,采用定量方法对所收集的文献进行了描述性统计分析;并运用社会网络分析方法和引文分析方法,对GSLIS的主要作者合作群体和高频被引文献进行了可视化分析,客观地揭示了GSLIS科研实力的总体概况、科研合作情况及其科学研究的历史进程。展开更多
为应对分布式光伏电站接入电网所带来的能量波动问题,方便电网部门的能量调度和管理,提出一种基于模糊C均值聚类和样本加权的反向传播(fuzzy C means-clustering and weighted samples back propagation, FCM-WS-BP)神经网络光伏输出功...为应对分布式光伏电站接入电网所带来的能量波动问题,方便电网部门的能量调度和管理,提出一种基于模糊C均值聚类和样本加权的反向传播(fuzzy C means-clustering and weighted samples back propagation, FCM-WS-BP)神经网络光伏输出功率预测方法。首先,采用最大互信息相关性分析和主成分分析法,从气象数据中提取出综合气象因子。基于综合气象因子的频域特征,利用模糊C均值聚类将历史样本划分为不同的天气类型,再利用所得到的隶属度矩阵对样本加权。然后,利用加权后的样本对反向传播(back propagation,BP)神经网络进行训练,得到FCM-WS-BP预测模型。最后,经实验验证,所提方法与BP模型相比,预测结果具有更高的准确性,模型预测性能较好。展开更多
基金supported by the China Postdotoral Science Foundation (20060401004).
文摘With the sharp increase of China＇s in-orbit spacecraft and the constraint TT＆C resources, a mathematical model for optimal TT＆C resource allocation is proposed, and the TT＆C facility remote monitoring function is designed to achieve the multitask operation pattern under the unified management of the network management center. With this pattern, the TT＆C network management and the spacecraft management are separated, which is quite different from the previous pattern. Further, a novel spacecraft TT＆C technique based on spacecraft control language is developed, and the telecommanding pattern is designed to address the spacecraft operation problems. The engineering application shows that this pattern fundamentally improves the TT＆C network capability, increases the resource efficiency, and satisfies the efficient, accurate, and flexible operation of spacecraft.
文摘以Web of Science(SCI-E,SSCI,A&HCI)为数据源,统计得到美国伊利诺伊大学厄本那香槟分校(UIUC)图书情报学学院(GSLIS)1936-2012年文献690篇。运用文献计量学的方法,从年代分布、来源期刊、科研合作等角度,采用定量方法对所收集的文献进行了描述性统计分析;并运用社会网络分析方法和引文分析方法,对GSLIS的主要作者合作群体和高频被引文献进行了可视化分析,客观地揭示了GSLIS科研实力的总体概况、科研合作情况及其科学研究的历史进程。
文摘为应对分布式光伏电站接入电网所带来的能量波动问题,方便电网部门的能量调度和管理,提出一种基于模糊C均值聚类和样本加权的反向传播(fuzzy C means-clustering and weighted samples back propagation, FCM-WS-BP)神经网络光伏输出功率预测方法。首先,采用最大互信息相关性分析和主成分分析法,从气象数据中提取出综合气象因子。基于综合气象因子的频域特征,利用模糊C均值聚类将历史样本划分为不同的天气类型,再利用所得到的隶属度矩阵对样本加权。然后,利用加权后的样本对反向传播(back propagation,BP)神经网络进行训练,得到FCM-WS-BP预测模型。最后,经实验验证,所提方法与BP模型相比,预测结果具有更高的准确性,模型预测性能较好。
