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Titlebook: Orbital Data Applications for Space Objects; Conjunction Assessme Lei Chen,Xian-Zong Bai,Ke-Bo Li Book 2017 National Defense Industry Press

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11#
發(fā)表于 2025-3-23 12:23:18 | 只看該作者
Orbital Error Analysis Based on Historical Data,An error analysis method based on historical orbital data is introduced, the periodic characteristics of the orbit prediction error are presented, and the error fitting is done by bringing in the Poisson series.
12#
發(fā)表于 2025-3-23 16:38:01 | 只看該作者
Close Approach Analysis Between Space Object,An introduction to the analytical and numerical methods commonly applied to the space object approaching analysis is unfolded.
13#
發(fā)表于 2025-3-23 19:32:14 | 只看該作者
14#
發(fā)表于 2025-3-24 00:37:30 | 只看該作者
15#
發(fā)表于 2025-3-24 05:09:51 | 只看該作者
16#
發(fā)表于 2025-3-24 07:38:16 | 只看該作者
Lei Chen,Xian-Zong Bai,Yan-Gang Liang,Ke-Bo Lias well as for the tuning of multimedia services as Voice Over IP, video streaming, TV on-demand, to cite a few. These devices are generally used for modifying, in a controlled way, data traffic flows by changing, in real time, several critical parameters as delay, packet loss percentage, throughput
17#
發(fā)表于 2025-3-24 12:23:26 | 只看該作者
Lei Chen,Xian-Zong Bai,Yan-Gang Liang,Ke-Bo Liall cells appear as a cost-effective way to reliably expand network coverage and provide significantly increased capacity for end users. The ultra-high bandwidth available at millimeter (mmWave, 30–300?GHz) and Terahertz (THz, 0.3–3?THz) frequencies can effectively realize short-range wireless acces
18#
發(fā)表于 2025-3-24 16:16:56 | 只看該作者
19#
發(fā)表于 2025-3-24 19:04:27 | 只看該作者
Lei Chen,Xian-Zong Bai,Yan-Gang Liang,Ke-Bo Lias well as for the tuning of multimedia services as Voice Over IP, video streaming, TV on-demand, to cite a few. These devices are generally used for modifying, in a controlled way, data traffic flows by changing, in real time, several critical parameters as delay, packet loss percentage, throughput
20#
發(fā)表于 2025-3-24 23:52:52 | 只看該作者
Lei Chen,Xian-Zong Bai,Yan-Gang Liang,Ke-Bo Lis of expert knowledge. With the advent of big data era, the amount of data has grown at an unprecedented rate. However, traditional rule engines based on PCs or servers are hard to handle streaming big data owing to limitation of hardware performance. The structured streaming computing framework can
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