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UV Wavelength Tunable Output System Controlled by Microprocessor
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作者 JIANG Wanlu ZHANG Shuqing +1 位作者 WU Zhaoxia WANG Yutian (Yanshan University, Qinhuangdao 066004, CHN ) 《Semiconductor Photonics and Technology》 CAS 1998年第2期98-103,共6页
UV wavelength auto-tuned tuned output system is realized by the difference method. Controlled by the microprocessor, output wavelength auto- tracking is achieved.Besides, equipment self-checking auto-positioning and t... UV wavelength auto-tuned tuned output system is realized by the difference method. Controlled by the microprocessor, output wavelength auto- tracking is achieved.Besides, equipment self-checking auto-positioning and temperature correct are realized,The wavelength tuned output efficiency in the experiment is better than 97 %. 展开更多
关键词 Method of Difference Microprocessor Control PID Regulation Wavelength auto-tracking
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Application of Particle Filter for Vertebral body Extraction: A Simulation Study
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作者 Hongyan Cui Xiaobo Xie +1 位作者 Shengpu Xu Yong Hu 《Journal of Computer and Communications》 2014年第2期48-51,共4页
Lumbar vertebra motion analysis provides objective measurement of lumbar disorder. The automatic tracking algorithm has been applied to Digitalized Video Fluoroscopy (DVF) sequence. This paper proposes a new Auto-Trac... Lumbar vertebra motion analysis provides objective measurement of lumbar disorder. The automatic tracking algorithm has been applied to Digitalized Video Fluoroscopy (DVF) sequence. This paper proposes a new Auto-Tracking System (ATS) with a guide device and a motion analysis to automatically measure human lumbar motion. Digitalized Video Fluoroscopy (DVF) sequence was obtained during flexion-extension lumbar movement under guide device. An extraction of human vertebral body and its motion tracking were developed by particle filter. The results showed a good repeatability, reliability and robustness. In model test, the maximum fiducial error is 3.7% and the repeatability error is 1.2% in translation and the maximal repeatability error is 2.6% in rotation angle. In this simulation study, we employed a lumbar model to simulate the motion of lumber flexion- extension with the stepping translation of 1.3 mm and rotation angle of 1&deg;. Results showed that the fiducial error was measured as 1.0%, while the repeatability error was 0.7%. The sequence can be detected even noise contamination as more as 0.5 of the density. The result demonstrates that the data from the auto-tracking algorithm shows a strong correlation with the actual measurement and that the Vertebral Auto-Tracking System (VATS) is highly repetitive. In the human lumbar spine evaluation, the study not only shows the reliability of Auto-Tracking Analysis System (ATAS), but also reveals that it is robust and variable in vivo. The VATS is evaluated by the model, the simulated sequence and the human subject. It could be concluded that the developed system could provide a reliable and robust system to detect spinal motion in future medical application. 展开更多
关键词 VERTEBRAL auto-tracking System (VATS) Particle Filter Sequential Important RESAMPLING LUMBAR SPINE VERTEBRAL Body
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