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您的检索式：作者名="Mengkai Song"
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| 1 | Pho- toluminescence of Cu+-doped and Cu2+-doped ZnS nanocrystallites显示文摘 | Yang Ping Song ChunfengsLv Mengkai | 2002 | Journal of Physics and Chemis- tiy of Solids2002，63，4： | 1 |
| 2 | Enhanced blue emission from Eu, Dy co-doped sol-gel Al2O3-SiO2 glasses 显示文摘 | Song Chunfeng Yang Ping Lu Mengkai | 2003 | Journal of Physics and Chemistry of Solids2003，64，： | 1 |
| 3 | Phase unwrapping based on deep learning in light field fringe projection 3D measurement显示文摘Phase unwrapping is one of the key roles in fringe projection three-dimensional(3D)measurement technology.We propose a new method to achieve phase unwrapping in camera array light filed fringe projection 3D measurement based on deep learning.A multi-stream convolutional neural network(CNN)is proposed to learn the mapping relationship between camera array light filed wrapped phases and fringe orders of the expected central view,and is used to predict the fringe order to achieve the phase unwrapping.Experiments are performed on the light field fringe projection data generated by the simulated camera array fringe projection measurement system in Blender and by the experimental 3×3 camera array light field fringe projection system.The performance of the proposed network with light field wrapped phases using multiple directions as network input data is studied,and the advantages of phase unwrapping based on deep learning in light filed fringe projection are demonstrated. | ZHU Xinjun ZHAO Haichuan YUAN Mengkai ZHANG Zhizhi WANG Hongyi SONG Limei | 2023 | Optoelectronics Letters2023，19，9： | 0 |
| 4 | A Stable and Energy-Efficient Routing Algorithm Based on Learning Automata Theory for MANET显示文摘The mobile Ad Hoc network(MANET)is a self-organizing and self-configuring wireless network,consisting of a set of mobile nodes.The design of efficient routing protocols for MANET has always been an active area of research.In existing routing algorithms,however,the current work does not scale well enough to ensure route stability when the mobility and distribution of nodes vary with time.In addition,each node in MANET has only limited initial energy,so energy conservation and balance must be taken into account.An efficient routing algorithm should not only be stable but also energy saving and balanced,within the dynamic network environment.To address the above problems,we propose a stable and energy-efficient routing algorithm,based on learning automata(LA)theory for MANET.First,we construct a new node stability measurement model and define an effective energy ratio function.On that basis,we give the node a weighted value,which is used as the iteration parameter for LA.Next,we construct an LA theory-based feedback mechanism for the MANET environment to optimize the selection of available routes and to prove the convergence of our algorithm.The experiments show that our proposed LA-based routing algorithm for MANET achieved the best performance in route survival time,energy consumption,energy balance,and acceptable per-formance in end-to-end delay and packet delivery ratio. | Sheng Hao Huyin Zhang Mengkai Song | 2018 | Journal of Communications and Information Networks2018，3，2： | 0 |
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