Self-powered display systems that integrate alternating current electroluminescence(ACEL)devices with triboelectric nanogenerators(TENGs)have shown great promise in human-machine interaction,smart displays,and securit...Self-powered display systems that integrate alternating current electroluminescence(ACEL)devices with triboelectric nanogenerators(TENGs)have shown great promise in human-machine interaction,smart displays,and security communications within the Internet of Things(IoT).However,their development has been significantly limited by undesirable flickering,which arises from the pulsed output characteristics of TENGs.Here,high-performance persistent phosphors((Ca_(0.25)Sr_(0.75))S:Eu)are incorporated into the ZnS:Cu-based ACEL devices to overcome this limitation,achieving an extended afterglow lifetime of 81 s and a sustained red emission lasting over 200 s.By integrating with TENGs,a self-powered persistent display system is realized that maintains bright red-emission for over 15 s.The varying afterglow intensities post power-off can distinguish directional movement(forward or backward),enabling motion trajectory recording and recognition,as demonstrated using floor-mounted TENGs to drive persistent display arrays.This strategy offers a new pathway for advanced self-powered display systems and broadens their application potential in the IoT landscape.展开更多
After pointed the unreasonableness of the three basic assumptions contained in HMM, we introduce the theory and the advantage of Stochastic najectory Models (STMs) that possibly resolve these problems caused by HMM as...After pointed the unreasonableness of the three basic assumptions contained in HMM, we introduce the theory and the advantage of Stochastic najectory Models (STMs) that possibly resolve these problems caused by HMM assumptions. In STM, the acoustic observations of an acoustic unit are represented as clusters of trajectories in a parameter space.The trajectories are modelled by mixture of probability density functions of random sequence of states. After analyzing the characteristics of Chinese speech, the acoustic units for continuous Chinese speech recognition based on STM are discussed and phone-like units are suggested. The performance of continuous Chinese speech recognition based on STM is studied on VINICS system. The experimental results prove the efficiency of STM and the consistency of phone-like units.展开更多
基金the support of the National Natural Science Foundation of China(Nos.U22A2077,12404465,U21A2070,and 62027816)Natural Science Foundation of Henan(No.212300410020)+1 种基金Science and Technology Major Project of Henan Province(No.221100230300)China Postdoctoral Science Foundation(Nos.2023M733250 and GZC20232445).
文摘Self-powered display systems that integrate alternating current electroluminescence(ACEL)devices with triboelectric nanogenerators(TENGs)have shown great promise in human-machine interaction,smart displays,and security communications within the Internet of Things(IoT).However,their development has been significantly limited by undesirable flickering,which arises from the pulsed output characteristics of TENGs.Here,high-performance persistent phosphors((Ca_(0.25)Sr_(0.75))S:Eu)are incorporated into the ZnS:Cu-based ACEL devices to overcome this limitation,achieving an extended afterglow lifetime of 81 s and a sustained red emission lasting over 200 s.By integrating with TENGs,a self-powered persistent display system is realized that maintains bright red-emission for over 15 s.The varying afterglow intensities post power-off can distinguish directional movement(forward or backward),enabling motion trajectory recording and recognition,as demonstrated using floor-mounted TENGs to drive persistent display arrays.This strategy offers a new pathway for advanced self-powered display systems and broadens their application potential in the IoT landscape.
文摘After pointed the unreasonableness of the three basic assumptions contained in HMM, we introduce the theory and the advantage of Stochastic najectory Models (STMs) that possibly resolve these problems caused by HMM assumptions. In STM, the acoustic observations of an acoustic unit are represented as clusters of trajectories in a parameter space.The trajectories are modelled by mixture of probability density functions of random sequence of states. After analyzing the characteristics of Chinese speech, the acoustic units for continuous Chinese speech recognition based on STM are discussed and phone-like units are suggested. The performance of continuous Chinese speech recognition based on STM is studied on VINICS system. The experimental results prove the efficiency of STM and the consistency of phone-like units.
