中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
机构
采集方式
内容类型
发表日期
学科主题
筛选

浏览/检索结果: 共8条,第1-8条 帮助

条数/页: 排序方式:
An In-vivo 1H-MRS short-echo time technique at 7T: Quantification of metabolites in chronic multiple sclerosis and neuromyelitis optica brain lesions and normal appearing brain tissue 期刊论文  OAI收割
NEUROIMAGE, 2021, 卷号: 238, 页码: 10
作者:  
Tackley, George;  Kong, Yazhuo
  |  收藏  |  浏览/下载:41/0  |  提交时间:2021/09/24
Fusion of heterogeneous attention mechanisms in multi-view convolutional neural network for text classification 期刊论文  OAI收割
INFORMATION SCIENCES, 2021, 卷号: 548, 页码: 295-312
作者:  
Liang, Yunji;  Li, Huihui;  Guo, Bin;  Yu, Zhiwen;  Zheng, Xiaolong
  |  收藏  |  浏览/下载:22/0  |  提交时间:2021/03/08
Research on a Method of Two Aircraft Intersection Measurement Based on INS/ CNS Integrated Navigation 会议论文  OAI收割
Chengdu, China, 2020-05-08
作者:  
Meilin, Xie;  Yu, Cao;  Wei, Hao;  Wei, Huang;  Xuezheng, Lian
  |  收藏  |  浏览/下载:19/0  |  提交时间:2020/07/21
Overview of the INS/CNS integrated navigation technology 会议论文  OAI收割
Chengdu, China, June 26, 2018 - June 29, 2018
作者:  
Wang, Xinmei;  Zhang, Hui;  Gao, Xiaodong
  |  收藏  |  浏览/下载:9/0  |  提交时间:2021/05/06
An efficient privacy-preserving compressive data gathering scheme in WSNs 期刊论文  OAI收割
INFORMATION SCIENCES, 2017, 卷号: 390, 页码: 82-94
作者:  
Xie, Kun;  Ning, Xueping;  Wang, Xin;  He, Shiming;  Ning, Zuoting
  |  收藏  |  浏览/下载:31/0  |  提交时间:2019/12/12
农业机械自动导航技术研究进展 期刊论文  OAI收割
农业工程学报, 2015, 卷号: 31, 期号: 10, 页码: 1-10
作者:  
胡静涛;  高雷;  白晓平;  李逃昌;  刘晓光
收藏  |  浏览/下载:41/0  |  提交时间:2015/07/05
RNA编辑酶 ADAR2 在调控葡萄糖代谢平衡中的生理学功能 学位论文  OAI收割
博士, 中国科学院上海生命科学研究院: 中国科学院上海生命科学研究院营养科学研究所, 2010
作者:  
赵丽韵
收藏  |  浏览/下载:33/0  |  提交时间:2015/10/16
INS's error compensation on the base of the celestial theodolite (EI CONFERENCE) 会议论文  OAI收割
ICO20: Optical Devices and Instruments, August 21, 2005 - August 26, 2005, Changchun, China
作者:  
Guo L.-H.;  Zhao H.-B.
收藏  |  浏览/下载:59/0  |  提交时间:2013/03/25
In recent years there has been a major upsurge of interest in the integrated inertial navigation system (INS)/celestial navigation system (CNS) as a cost-effective way of providing accurate and reliable navigation aid for civil and military vehicles (ships  aircrafts  land vehicles and so on). One of the disadvantages of INS is its errors will grow unbounded. The CNS can be used to improve position estimation resulting from INS measurement. This paper describes the design of this. An error model developed earlier is used for CNS/INS filter (Kalman filter) mechanization. In CNS  celestial theodolite acquires an image of the sky  recognize the most brilliant stars in the image  creates with them a "constellation"  and searches for this pattern in an on board star catalogue of the observed region to get the precise position and attitude information of vehicles. The Kalman filter method is used to fuse measurement from the system. We can use this information to compensate INS's error. The tests carry out with this system show that system will get accurate navigation information.