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X-ray-activated long persistent phosphors featuring strong UVC afterglow emissions

Light(Science & Applications) 2018年第1期7卷 222-232页

作者： Yan-Min Yang Zhi-Yong Li Jun-Ying Zhang Yue Lu Shao-Qiang Guo Qing Zhao Xin Wang Zi-Jun Yong Hong Li Ju-Ping Ma Yoshihiro Kuroiwa chikako moriyoshi Li-Li Hu Li-Yan Zhang Li-Rong Zheng Hong-Tao Sun College of Physics Science and Technology Hebei University071002 BaodingChina College of Chemistry Chemical Engineering and Materials ScienceSoochow University215123 JiangsuChina Department of Physics Beihang University100191 BeijingChina Department of Physical Science Hiroshima UniversityHigashihiroshimaHiroshima 739-8526Japan Shanghai Institute of Optics and Fine Mechanics Chinese Academy of Sciences201800 ShanghaiChina Beijing Synchrotron Radiation Facility Institute of High Energy PhysicsChinese Academy of Sciences100049 BeijingChina

Phosphors emitting visible and near-infrared persistent luminescence have been explored extensively owing to their unusual properties and commercial interest in their applications such as glow-in-the-dark paints,optical information storage,and in vivo ***,no persistent phosphor that features emissions in the ultraviolet C range(200–280 nm)has been known to exist so ***,we demonstrate a strategy for creating a new generation of persistent phosphor that exhibits strong ultraviolet C emission with an initial power density over 10 milliwatts per square meter and an afterglow of more than 2 *** characterizations coupled with first-principles calculations have revealed that structural defects associated with oxygen introduction-induced anion vacancies in fluoride elpasolite can function as electron traps,which capture and store a large number of electrons triggered by Xray ***,we show that the ultraviolet C afterglow intensity of the yielded phosphor is sufficiently strong for *** discovery of this ultraviolet C afterglow opens up new avenues for research on persistent phosphors,and it offers new perspectives on their applications in terms of sterilization,disinfection,drug release,cancer treatment,anti-counterfeiting,and beyond.

关键词： ultraviolet fluoride visible

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Characterizing human driver characteristics using an artificial neural network and a theoretical model

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Control Theory and Technology 2022年第2期20卷 263-278页

作者： Sangmyoeng Kim Takeshi Miyamoto Tatsuya Kuboyama Yasuo moriyoshi Graduate School of Engineering Chiba University.1-33 Yayoicho InagekuChiba 2638522Japan

Human drivers seem to have different characteristics,so different drivers often yield different results from the same driving mode tests with identical vehicles and same chassis ***,drivers with different experiences often yield similar results under the same driving *** the features of human drivers are known,the control inputs to each driver,including warnings,will be customized to optimize each man–machine vehicle ***,it is crucial to determine how to characterize human drivers *** study proposes a method to estimate the parameters of a theoretical model of human *** method uses an artificial neural network(ANN)model and a numerical procedure to interpret the identified ANN models *** approach involves the following ***,we specify each ANN driver model through chassis dynamometer tests performed by each human driver and ***,we obtain the parameters of a theoretical driver model using the ANN model for the corresponding ***,we simulate the driver’s behaviors using the identified ANN models with controlled ***,we estimate the theoretical driver model parameters using the numerical simulation results.A proportional-integral-differential(PID)control model is used as the theoretical *** results of the parameter estimation indicate that the PID driver model parameter combination can characterize human ***,the results suggest that vehicular factors influence the parameter combinations of human drivers.

关键词： Neural network Identification Driver model Chassis dynamometer Driver characteristics

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