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长春光学精密机械与物... [8]
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会议论文 [72]
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2010 [72]
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发表日期:2010
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Dynamic Measurement System for Dipoles of RCS for CS
会议论文
作者:
He, Yuan
;
Chang, Wei
;
Han, Shaofei
;
Li, Qing
;
Chen, Wan
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2018/08/20
Digital integrator
dynamic measurement
magnetic field measurement
rapid cycle synchrotron
spallation neutron source
Dynamic Measurement System for Dipoles of RCS for CS
会议论文
作者:
He, Yuan
;
Chang, Wei
;
Han, Shaofei
;
Li, Qing
;
Chen, Wan
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2018/08/20
Digital integrator
dynamic measurement
magnetic field measurement
rapid cycle synchrotron
spallation neutron source
Quench Protection Design and Simulation of a 7 Tesla Superconducting Magnet
会议论文
作者:
Guo, Beilei
;
Ma, Lizhen
;
Wu, Wei
;
Yao, Qinggao
;
Huang, Wenxue
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2018/08/20
Opera-quench
penning trap
persistent mode
quench protection
subdivided protection
A Three-Dimensional Visual Localization System Based on Four Inexpensive Video Cameras
会议论文
2010 IEEE International Conference on Information and Automation, ICIA 2010, Harbin, China
作者:
Wei Liu
;
Chao Hu
;
Qing He
;
Max Q.-H. Meng
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2015/08/21
An hybrid localization system based on optics and magnetics
会议论文
2010 IEEE International Conference on Robotics and Biomimetics, ROBIO 2010
作者:
Wei Liu
;
Chao Hu
;
Qing He
;
Max Q.-H. Meng
;
Li Liu
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2015/08/21
The fast method of point positioning in multi-vision system
会议论文
2010 IEEE International Conference on Robotics and Biomimetics, ROBIO 2010
作者:
Qing He
;
Chao Hu
;
Wei Liu
;
Max Q.-H. Meng
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2015/08/21
The design of high speed image acquisition system over Gigabit Ethernet (EI CONFERENCE)
会议论文
2010 IEEE International Conference on Wireless Communications, Networking and Information Security, WCNIS 2010, June 25, 2010 - June 27, 2010, Beijing, China
Zhang W.
;
Wei Z.
;
He X.
;
Qiao P.
;
Liang G.
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2013/03/25
The applications based on traditional digital cameras have been limited by distance
cost and networking. Gigabit Ethernet is a data transmission standard based on the IEEE 802.3 protocol
brings several benefits to image transmission. In this paper
we compare the main features of Gigabit Ethernet and traditional digital camera interfaces. And
we design a high speed image acquisition system which overcomes these application limitations by allowing cameras to send imaging data over Gigabit Ethernet. In this system
we design a highly efficient
bidirectional conversion device based on FPGA
converts imaging data from a camera to IP packets based on UDP protocol
and sends it to PCs over inexpensive Cat-5 copper LAN cable. At the PC
the Cat-5 cable plugs into a standard Gigabit Ethernet NIC(network interface card)
eliminating the need for a frame grabber. An communications application software is used to acquire the network data
construct and display the image. A simple and efficient acknowledge and resend mechanism was used to guarantee packet delivery. The system architecture and the communication protocol are discussed in details
the experiment and results are presented in this paper. 2010 IEEE.
A digital image processing system based on DSP (EI CONFERENCE)
会议论文
2nd International Conference on Information Engineering and Computer Science, ICIECS 2010, December 25, 2010 - December 26, 2010, Wuhan, China
Liu Y.
;
Yan H.
;
He X.
;
Wei Z.
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2013/03/25
In order to detect the target position real-timely
a real time target detecting system based on tms320F2812 DSP and Spartan3-SC3S400 FPGA is designed. The design
hardware structure
a target detecting method and software char flow of FPGA and DSP are presented. The system is tested by a 1Kx1K image
the processing time is 1.3ms
experiments results show that the method is feasible
the simple design and stable correct results make this method very ascendant in practical application. 2010 IEEE.
The design of high-speed optical fiber communication system based on PCI bus (EI CONFERENCE)
会议论文
2010 2nd IEEE International Conference on Advanced Management Science, ICAMS 2010, July 9, 2010 - July 11, 2010, Chengdu, China
Liang G.-L.
;
He X.
;
Wei Z.-H.
;
He J.-W.
;
Zhang L.-G.
收藏
  |  
浏览/下载:42/0
  |  
提交时间:2013/03/25
In order to increase the transmission distance and reduce noise effectively
a communication system with the optical fiber interface is developed in this paper. In the system
the PCI bus is adopted as the connection bus between the underlying optical fiber transceiver module circuitry and host computer using the WDM driver. The FPGA is the core logic of the whole system
responsible for data transmission and timing logic control. The module structure and the design method of the PCI bus
the principle and the design of optical interface module and the bottom-driven development are described in this paper. The experiment results show that the system has basically meet requirement targets. It can achieve the maximum transfer rate of 40MBps when running in the DMA mode. With long transmission distance
strong antiinterference and high scalability
this system has stable and reliable performance. 2010 IEEE.
A new method of target recognition based on rough set and support vector machine (EI CONFERENCE)
会议论文
2nd International Conference on Image Analysis and Signal Processing, IASP'2010, April 12, 2010 - April 14, 2010, Xiamen, China
Guo Z.-J.
;
He X.
;
Wei Z.-H.
;
Liang G.-L.
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2013/03/25
Automatic target recognition (ATR) is an important task in image application. This paper concentrates on two key subroutines of ATR system: Pre-treatment and design of classifier. In the pre-treatment subroutine
a new method based on Rough Set (RS) is proposed to partition the original sample set into some subsets and calculate their class membership
so that some samples can be chosen by class membership to be trained. After pre-treatment
an iterative algorithm based on Rough Set and Support Vector Machines (IRSSVM) is introduced to design a classifier for recognizing two types of targets. The experiment results show that IRSSVM needs less training time and the classifier is simpler and has more generalization and higher recognition rate. 2010 IEEE.
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