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Chinese Academy of Sciences Institutional Repositories Grid
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浏览/检索结果: 共17条,第1-10条 帮助

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MiaoSuan Wargame: A Multi-Mode Integrated Platform for Imperfect Information Game 会议论文  OAI收割
Beijing, China, August 21-24, 2022
作者:  
Jiale Xu;  Jian Hu;  Shixian Wang;  Xuyang Yang;  Wancheng Ni
  |  收藏  |  浏览/下载:16/0  |  提交时间:2023/06/28
Risk perception and intelligent decision in complex social information network 期刊论文  OAI收割
INDUSTRIAL MANAGEMENT & DATA SYSTEMS, 2020, 页码: 12
作者:  
Wu, Desheng;  Song, Jingxiu;  Bian, Yuan;  Zheng, Xiaolong;  Zhang, Zhu
  |  收藏  |  浏览/下载:38/0  |  提交时间:2021/03/08
Accelerated LiDAR data processing algorithm for self-driving cars on the heterogeneous computing platform 期刊论文  OAI收割
IET COMPUTERS AND DIGITAL TECHNIQUES, 2020, 卷号: 14, 期号: 5, 页码: 201-209
作者:  
Li, Wei;  Liang, Jun;  Zhang, Yunquan;  Jia, Haipeng;  Xiao, Lin
  |  收藏  |  浏览/下载:58/0  |  提交时间:2020/12/10
自然遗产监测-保护-管理信息平台构建研究 学位论文  OAI收割
北京: 中国科学院大学, 2020
作者:  
哈尚辰
  |  收藏  |  浏览/下载:40/0  |  提交时间:2021/12/10
野外监测站群组集成知识平台可持续能力建设--以中国科学院新疆生态与地理研究所为例/Construction of Sustainable Ability for Knowledge Platform of Field Monitor Stations Cluster-Take Xinjiang Institute of Ecology and Geography, CAS as an Example[J] 期刊论文  OAI收割
科技广场, 2014, 卷号: 5, 页码: 160-165
作者:  
杨晓;  李宏建;  李文芯;  宁宝英;  陈洁
  |  收藏  |  浏览/下载:35/0  |  提交时间:2017/12/29
基于可信移动平台的直接匿名证明方案研究 期刊论文  OAI收割
计算机研究与发展, 2014, 卷号: 51, 期号: 7, 页码: 1436-1445
杨波; 冯登国; 秦宇; 张倩颖; 奚瓅; 郑昌文
  |  收藏  |  浏览/下载:26/0  |  提交时间:2014/12/16
微博社区发现及演变分析关键技术研究 学位论文  OAI收割
工学硕士, 中国科学院自动化研究所: 中国科学院大学, 2013
高珩
收藏  |  浏览/下载:106/0  |  提交时间:2015/09/02
Constructing and the related key techniques for the Smart Logistics Information Platform of Yiwu Port 期刊论文  OAI收割
Journal of Theoretical and Applied Information Technology, 2013, 卷号: 51, 期号: 3, 页码: 482-488
作者:  
Xu JW(徐家旺);  Jiao, YP(焦玉平);  Yuan Y(袁野)
  |  收藏  |  浏览/下载:18/0  |  提交时间:2021/03/14
信息服务平台若干技术研究与实现 学位论文  OAI收割
工学硕士, 中国科学院自动化研究所: 中国科学院研究生院, 2011
陈立全
收藏  |  浏览/下载:41/0  |  提交时间:2015/09/02
The ship-borne infrared searching and tracking system based on the inertial platform (EI CONFERENCE) 会议论文  OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
作者:  
Li Y.;  Zhang H.;  Zhang H.;  Li Y.;  Li Y.
收藏  |  浏览/下载:38/0  |  提交时间:2013/03/25
As a result of the radar system got interferenced or in the state of half silent  it can cause the guided precision drop badly In the modern electronic warfare  therefore it can lead to the equipment depended on electronic guidance cannot strike the incoming goals exactly. It will need to rely on optoelectronic devices to make up for its shortcomings  but when interference is in the process of radar leading  especially the electro-optical equipment is influenced by the roll  pitch and yaw rotation  it can affect the target appear outside of the field of optoelectronic devices for a long time  so the infrared optoelectronic equipment can not exert the superiority  and also it cannot get across weapon-control system "reverse bring" missile against incoming goals. So the conventional ship-borne infrared system unable to track the target of incoming quickly  the ability of optoelectronic rivalry declines heavily.Here we provide a brand new controlling algorithm for the semi-automatic searching and infrared tracking based on inertial navigation platform. Now it is applying well in our XX infrared optoelectronic searching and tracking system. The algorithm is mainly divided into two steps: The artificial mode turns into auto-searching when the deviation of guide exceeds the current scene under the course of leading for radar.When the threshold value of the image picked-up is satisfied by the contrast of the target in the searching scene  the speed computed by using the CA model Least Square Method feeds back to the speed loop. And then combine the infrared information to accomplish the closed-loop control of the infrared optoelectronic system tracking. The algorithm is verified via experiment. Target capturing distance is 22.3 kilometers on the great lead deviation by using the algorithm. But without using the algorithm the capturing distance declines 12 kilometers. The algorithm advances the ability of infrared optoelectronic rivalry and declines the target capturing time by using semi-automatic searching and reliable capturing-tracking  when the lead deviation of the radar is great. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).