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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 An attitude tracking method for star sensor under dynamic conditions 期刊论文 Optoelectronics Letters, 2019, 卷号: 15, 期号: 5, 页码: 368-373 作者:  J.Wang;  X.He;  Z.-h.Wei;  Y.Lu;  D.-l.He 收藏  |  浏览/下载：1/0  |  提交时间：2020/08/24 Singular value decomposition,Efficiency,Navigation,Stars,Stochastic systems   Influence of Leaf Specular Reflection on Canopy Radiative Regime Using an Improved Version of the Stochastic Radiative Transfer Model 期刊论文 REMOTE SENSING, 2018, 卷号: 10, 期号: 10, 页码: 17 作者:  Wu, Yi;  Zhang, Junqiang;  Zhao, Haimeng;  Xie, Donghui;  Knyazikhin, Yuri 收藏  |  浏览/下载：34/0  |  提交时间：2019/08/26 leaf specular reflection  radiative regime  stochastic radiative transfer model (SRTM)  polarization measurements   Neural network based online traffic signal controller design with reinforcement training (EI CONFERENCE) 会议论文 14th IEEE International Intelligent Transportation Systems Conference, ITSC 2011, October 5, 2011 - October 7, 2011, Washington, DC, United states Dai Y.; Hu J.; Zhao D.; Zhu F. 收藏  |  浏览/下载：26/0  |  提交时间：2013/03/25 Traffic congestion leads to problems like delays  decreasing flow rate  and higher fuel consumption. Consequently  keeping traffic moving as efficiently as possible is not only important to economy but also important to environment. Traffic system is a large complex nonlinear stochastic system. Traditional mathematical methods have some limitations when they are applied in traffic control. Thus  computational intelligence (CI) technologies gain more and more attentions. Neural Networks (NNs) is a well developed CI technology with lots of promising applications in traffic signal control (TSC). In this paper  a neural network (NN) based signal controller is designed to control the traffic lights in an urban traffic road network. Scenarios of simulation are conducted under a microscopic traffic simulation software. Several criterions are collected. Results demonstrate that through online reinforcement training the controllers obtain better control effects than the widely used pre-time and actuated methods under various traffic conditions. 2011 IEEE.   Stochastic video signal's automatic identification and image reproduction (EI CONFERENCE) 会议论文 2007 2nd IEEE Conference on Industrial Electronics and Applications, ICIEA 2007, May 23, 2007 - May 25, 2007, Harbin, China Mingxiu L.; Guangliang H. 收藏  |  浏览/下载：11/0  |  提交时间：2013/03/25 In order to realize the automatic extraction of stochastic signal's horizontal synchronization frequency and the stable reproduction of video image  different image features of horizontal synchronization blanking signal under different deviation are analyzed  and spectrum analysis algorithm of horizontal synchronization frequency  texture feature extraction algorithm of slope image and phase feature extraction algorithm of drifting image are put forward. Based on the three algorithms  the hierarchical automatic recognition algorithm is put forward to automatically control the adjusting of the horizontal synchronization frequency and realize the reproduction. The algorithm was applied in the automatic interception system of computer video leaking information  and quick interception and stable reproduction of computer video leaking information were achieved. 2007 IEEE.