中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
寒区旱区环境与工程研... [1]
遥感与数字地球研究所 [1]
高能物理研究所 [1]
采集方式
OAI收割 [2]
iSwitch采集 [1]
内容类型
期刊论文 [2]
会议论文 [1]
发表日期
2015 [1]
2006 [2]
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Primary scheme of superconducting linac-driven XFEL in China
期刊论文
OAI收割
HIGH POWER LASER AND PARTICLE BEAMS, 2015, 卷号: 27, 期号: 5, 页码: 55101
作者:
Jiao Y(焦毅)
;
Zhai JY(翟纪元)
;
Lu HH(陆辉华)
;
Wang JQ(王九庆)
;
Jiao
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2016/04/18
Development directions
Hard X ray
Main parameters
Peak currents
Present status
Superconducting linac
Technical route
Eco-environmental degradation in the source region of the Yellow River, Northeast Qinghai-Xizang Plateau
期刊论文
iSwitch采集
ENVIRONMENTAL MONITORING AND ASSESSMENT, 2006, 卷号: 122, 期号: 1-3, 页码: 125-143
作者:
Feng, Jianmin
;
Wang, Tao
;
Xie, Changwei
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  |  
浏览/下载:47/0
  |  
提交时间:2019/10/08
eco-environmental degradation
present status
human activities
regional climate change
source region of the Yellow River
Northeast Qinghai-Xizang Plateau
Study of navigation based on intelligent avatar with mobile virtual reality
会议论文
OAI收割
IET International Conference on Wireless Mobile and Multimedia Networks Proceedings, ICWMMN 2006,, Hangzhou, China, November 6, 2006 - November 9,2006
Jun, Ma
;
Hengjun, Zhu
;
Jianhua, Gong Source
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浏览/下载:32/0
  |  
提交时间:2014/12/07
Recent advances in wireless communications and the hardware performance of handset devices make possible the combination of navigation technology with mobile virtual reality (MVR). In this paper
we describe a navigation method that uses intelligent avatar (IA) and been realized in a distributed architecture. In the method
complicated A* wayfinding algorithm is applied to obtain the set of smell points (SSP) on PC server (PCS)
thereafter handset client (HC) will receive the SSP via wireless network and create an IA to lead the user along the route controlled by the SSP. During navigation
the IA can apperceive the status of user's avatar in virtual environment regularly and then adjust its travel speed in order to complete harmoniously the navigation task for the user. Furthermore
the rendering of IA adopts the technology of dynamic impostor and the method of distributed rendering. In order to reduce the occupation of wireless network bandwidth
we present two methods and name them as levels of action (LOA) and simple texture compression.