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浏览/检索结果: 共4条，第1-4条 帮助 限定条件 专题：长春光学精密机械与物理研究所    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Big Data Analytics and Mining for Effective Visualization and Trends Forecasting of Crime Data 期刊论文 Ieee Access, 2019, 卷号: 7, 页码: 106111-106123 作者:  M.C.Feng;  J.B.Zheng;  J.C.Ren;  A.Hussain;  X.X.Li 收藏  |  浏览/下载：0/0  |  提交时间：2020/08/24 Big data analytics (BDA),data mining,data visualization,neural,network,time series forecasting,saliency detection   Approach to cross-company spacecraft software defect prediction based on transfer learning 期刊论文 Guangxue Jingmi Gongcheng/Optics and Precision Engineering, 2019, 卷号: 27, 期号: 2, 页码: 469-478 作者:  Q.-H.Ha;  D.-Y.Liu;  Y.Chen;  L.Liu 收藏  |  浏览/下载：0/0  |  提交时间：2020/08/24 Software testing,Aerospace engineering,Application programs,Classification (of information),Defects,Efficiency,Forecasting,Learning systems   High-Precision and Short-Time Solar Forecasting by Spaceborne Solar Irradiance Spectrometer 期刊论文 Guangxue Xuebao/Acta Optica Sinica, 2019, 卷号: 39, 期号: 7 作者:  Z.Li;  S.Wang;  Y.Huang;  G.Lin;  Y.Shao 收藏  |  浏览/下载：0/0  |  提交时间：2020/08/24 Orbits,Electric arc welding,Electromagnetic pumps,Errors,Forecasting,Measurement,Solar radiation,Spectrometers   Research of error correction of LEO satellite orbit prediction for vehicle-borne tracking and position device (EI CONFERENCE) 会议论文 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China Zhang P.-L.; Guo L.-H.; Wang J.-J. 收藏  |  浏览/下载：16/0  |  提交时间：2013/03/25 Vehicle-borne tracking and position device is used to track LEO satellite. Because of the absence of the target which might be caused by cloud or zenith blind zone  the forecasting data will be used to acquire the target. While orbit prediction has serious errors  the target is always missed. Meanwhile  in its application to the vehicle-borne tracking and position device  due to the base of instability in the tracking process  it will result in significant difference between predicting data and tracking data  so the target will be not tracked rapidly. We applied tracking data to predict satellite orbits by improving Laplace method  and then corrected the error between Predicted data and actual measured data by interpolation method of Lagrange which improves the accuracy of prediction values. The testing data shows the accuracy of predicted data ranging from 3' to 10" for both azimuth and elevation when extrapolated satellite orbit to 7 seconds time. 2010 IEEE.