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Advanced run-out table cooling technology based on ultra fast cooling and laminar cooling in hot strip mill 期刊论文
JOURNAL OF CENTRAL SOUTH UNIVERSITY, 2012, 卷号: 19, 期号: 5, 页码: 1341-1345
作者:  Liu Enyang;  Peng Lianggui;  Yuan Guo;  Wang Zhaodong;  Zhang Dianhua
收藏  |  浏览/下载:9/0  |  提交时间:2021/02/26
BESIII在线单机箱读出系统的实现 期刊论文
2010, 2010
田雨润; 陶宁; 初元萍; 李飞; 任震宇; 朱科军; TIAN Yurun; TAO Ning; CHU Yuanping; LI Fei; REN Zhengyu; ZHU Kejun
收藏  |  浏览/下载:2/0
Realization of BESIII online single crate readout system 期刊论文
2010, 2010
Tian Yurun; Tao Ning; Chu Yuanping; Li Fei; Ren Zhengyu; Zhu Kejun
收藏  |  浏览/下载:3/0
Towards a uniform cooperative platform: Cova approach and experience 期刊论文
2010, 2010
Shi MeiLin; Jiang JinLei
收藏  |  浏览/下载:1/0
Energy-saving scheduling strategy for elevator group control system based on ant colony optimization (EI CONFERENCE) 会议论文
2010 IEEE Youth Conference on Information, Computing and Telecommunications, YC-ICT 2010, November 28, 2010 - November 30, 2010, Beijing, China
Zhang J.-L.; Tang J.; Zong Q.; Li J.-F.
收藏  |  浏览/下载:17/0  |  提交时间:2013/03/25
Elevator group control scheduling is to dispatch every elevator to serve call requests from different floors based on some certain goal. It's a kind of typical combinatorial optimization problems. Ant colony algorithm is good at solving the discrete combinatorial optimization  its well global optimization ability and quick convergence velocity are both necessary to a scheduling algorithm. Moreover  reducing passengers' waiting and traveling time is the main focus of current dispatching algorithms  neglecting the energy consumed by the elevator system. So it's necessary to research on energy-saving algorithms. For the purpose of elevator group's energy-conservation run  the objective function of energy is built  ant colony model for elevator group control system is created  its optimization mechanism is figured out  and convergence of the algorithm is studied in this paper. Simulation results show the effectiveness of the strategy. 2010 IEEE.  
An intelligent video surveillance system (EI CONFERENCE) 会议论文
2010 International Conference on E-Product E-Service and E-Entertainment, ICEEE2010, November 7, 2010 - November 9, 2010, Henan, China
Gao S.
收藏  |  浏览/下载:12/0  |  提交时间:2013/03/25
This paper presents an intelligent video surveillance system. The system is composed of one or more nodes flexibly according to the application scenarios such as private properties  banks and museums. Each node is an autonomous vision-based device capable to perform intelligent tasks. It is able to digitize and compress the acquired analog video signals in MPEG-4 standard and then transmit the compressed video stream to the control center. At the same time  the node makes use of a statistical approach for real-time detecting moving object and online alarm generation to enable a single human operator to monitor activities over a complex area using a distributed network of active video sensors. The node is implemented on a platform with high performance to ensure that the algorithm is able to run in real-time. Applications demonstrate that the intelligent system has an excellent performance in many scenarios to help people make decisions more accurately and rapidly. 2010 IEEE.  


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