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Chinese Academy of Sciences Institutional Repositories Grid
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The Application of Edge Computing Technology in the Collaborative Optimization of Intelligent Transportation System Based on Information Physical Fusion 期刊论文  OAI收割
IEEE ACCESS, 2020, 卷号: 8, 页码: 153264-153272
作者:  
Yan, Gongxing;  Qin, Qi
  |  收藏  |  浏览/下载:21/0  |  提交时间:2021/03/18
The Application of Edge Computing Technology in the Collaborative Optimization of Intelligent Transportation System Based on Information Physical Fusion 期刊论文  OAI收割
IEEE ACCESS, 2020, 卷号: 8, 页码: 153264-153272
作者:  
Yan, Gongxing;  Qin, Qi
  |  收藏  |  浏览/下载:15/0  |  提交时间:2021/03/18
Current Researches and Future Development Trend of Intelligent Robot: A Review 期刊论文  OAI收割
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 5, 页码: 525-546
作者:  
Tian-Miao Wang;  Yong Tao;  Hui Liu
  |  收藏  |  浏览/下载:25/0  |  提交时间:2021/02/23
Analysis of operator support method based on intelligent dynamic interlock in lead-cooled fast reactor simulator 期刊论文  OAI收割
ANNALS OF NUCLEAR ENERGY, 2017, 卷号: 99, 期号: 无, 页码: 279-282
作者:  
Xu, Peng;  Wang, Jianye;  Yang, Minghan;  Wang, Weitian;  Bai, Yunqing
  |  收藏  |  浏览/下载:41/0  |  提交时间:2017/12/18
Application and Measure Research of Intelligent Technology in the Pension Services 会议论文  OAI收割
Wuhan, CHINA, April 15-17, 2016
作者:  
Cheng HM(程海梅);  Yuan MZ(苑明哲);  Xiao JC(肖金超)
  |  收藏  |  浏览/下载:42/0  |  提交时间:2022/06/07
iot gateway: bridging wireless sensor networks into internet of things 会议论文  OAI收割
IEEE/IFIP 8th International Conference on Embedded and Ubiquitous Computing, EUC 2010, Hong Kong, China, 40878
Zhu Qian; Wang Ruicong; Chen Qi; Liu Yan; Qin Weijun
  |  收藏  |  浏览/下载:74/0  |  提交时间:2011/03/31
Modeling of agile intelligent manufacturing-oriented production scheduling system 期刊论文  OAI收割
International Journal of Automation and Computing, 2010, 卷号: 7, 期号: 4, 页码: 596-602
作者:  
Sheng ZQ(盛忠起);  Chang-Ping Tang;  Lv CX(吕赐兴)
收藏  |  浏览/下载:27/0  |  提交时间:2012/05/29
Optimizing control mode of optical payloads based on multi-population genetic algorithm (EI CONFERENCE) 会议论文  OAI收割
2009 IEEE International Conference on Mechatronics and Automation, ICMA 2009, August 9, 2009 - August 12, 2009, Changchun, China
Xu W.; Jin G.
收藏  |  浏览/下载:24/0  |  提交时间:2013/03/25
Optimizing the control mode of optical payload could improve the payload's work efficiency. When the mathematic model of payload's control mode was established  optimization problems could be boiled down to seek the maximal value of the function with many variables. This paper put forward a calculational method to base the mathematic model  the calculational method was multi-population genetic algorithm (MPGA). After the 0-1 variables and real multidimensional ones had been coded separately  the algorithm established the populations independently  made the multidimensional variables as the centrosome and combined 0-1 ones to work out the maximal value of the function which was established to describe the control mode of the optical payload. Moreover  the emulational experiment had been done with the material arithmetic operators. The result indicates that the method using MPGA can hurdle the disadvantage of traditional ones which calculate slowly and get into local best value trap easily . It has the characters that not only fits large scale area scout  but also gets the best value in full scale rapidly  so this algorithm can better satisfy the technology demand for the intelligent control of optical payload. 2009 IEEE.  
research on the recommending method used in c2c online trading 会议论文  OAI收割
IEEE/WIC/ACM International Conference on Intelligent Agent Technology and Web Intelligence, Fremont, CA, NOV 02-05,
Cheng Guangyao
  |  收藏  |  浏览/下载:17/0  |  提交时间:2011/06/29
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
收藏  |  浏览/下载:33/0  |  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.