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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Li Yan Bai Yonglin Wang Bo Liu Baiyu Xue Yingdong Bai Xiaohong Qin Junjun Zhang Wei Gou Yongsheng |
| Copyright Year | 2010 |
| Abstract | An intelligent system of X-ray framing camera is designed and realized to fulfill the demand of being intelligent and automotive in the diagnosis system for Inertial Confinement Fusion (ICF). Being controlled by PC104 embedded host computer and combining with Interface Card, the camera system can achieve human-computer interface interactive, networking, camera working point setting, mode switching and working condition monitoring. The system has characterization of self-diagnosing, self-adjusting, and self-protection, which can not only satisfy the requirements of the automotive networking test, but also realize the consistent and accurate of the measurement results, and the stability and dependability of the framing camera are improved. The experimental results show that the gate pulse jitter is confined to 10 ps, screen voltage keeps a very small variation less than 2%, rising and falling edge are shorter than 200 ns, the flat-topped time lasts for 10 us. The new system makes great significance on improving the physical diagnosis on ICF studies. |
| Starting Page | 615 |
| Ending Page | 618 |
| File Size | 395515 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424472796 |
| e-ISBN | 9781424472802 |
| DOI | 10.1109/ICICTA.2010.244 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-05-11 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computer interfaces Embedded computing Interface Card Control systems Embedded computer Automotive engineering Intelligent vehicles Inertial confinement Smart cameras X-ray framing camera Computer networks Intelligent control system Intelligent systems Intelligent control |
| Content Type | Text |
| Resource Type | Article |
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