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134 results on '"Zheng, Mingwen"'

2. Retrievable Image Encryption Based on Adaptive Block Compressed Sensing

Author

Fang, Jiuchuan, Zhao, Hui, Zheng, Mingwen, Wang, Zijian, Niu, Sijie, Gao, Xizhan, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, You, Peng, editor, Liu, Shuaiqi, editor, and Wang, Jun, editor

Published
2024
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3. Predefined-Time Event-Triggered Consensus for Nonlinear Multi-Agent Systems with Uncertain Parameter

Author

Lu, Yafei, Zhao, Hui, Liu, Aidi, Zheng, Mingwen, Niu, Sijie, Gao, Xizhan, Zong, Xiju, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Luo, Biao, editor, Cheng, Long, editor, Wu, Zheng-Guang, editor, Li, Hongyi, editor, and Li, Chaojie, editor

Published
2024
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30. The RBFNN ’s Application in Nonlinear System Model Based on Improved APC-III Algorithm

Author

Liu, Xinping, Xue, Xiwen, Zheng, Mingwen, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Tan, Ying, editor, Shi, Yuhui, editor, and Tan, Kay Chen, editor

Published
2010
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34. Finite-time parameter identification of fractional-order time-varying delay neural networks based on synchronization.

Author

Yang, Fan, Wang, Wen, Li, Lixiang, Zheng, Mingwen, Zhang, Yanping, and Liang, Zhenying

Subjects
PARAMETER identification, NEURAL circuitry, SYNCHRONIZATION, LYAPUNOV stability
Abstract

We research the finite-time parameter identification of fractional-order time-varying delay neural networks (FTVDNNs) based on synchronization. First, based on the fractional-order Lyapunov stability theorem and feedback control idea, we construct a synchronous controller and some parameter update rules, which accomplish the synchronization of the drive-response FTVDNNs and complete the identification of uncertain parameters. Second, the theoretical analysis of the synchronization method is carried out, and the stable time is calculated. Finally, we give two examples for simulation verification. Our method can complete the synchronization of the FTVDNNs in finite time and identify uncertain parameters while synchronizing. [ABSTRACT FROM AUTHOR]

Published
2023
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38. Gradually Increased Interhemispheric Functional Connectivity During One Night of Sleep Deprivation [Corrigendum]

Author

Zhu,Yuanqiang, Ren,Fang, Zhu,Yuanju, Zhang,Xiao, Liu,Wenming, Tang,Xing, Qiao,Yuting, Cai,Yanhui, Zheng,Mingwen, Zhu,Yuanqiang, Ren,Fang, Zhu,Yuanju, Zhang,Xiao, Liu,Wenming, Tang,Xing, Qiao,Yuting, Cai,Yanhui, and Zheng,Mingwen

Abstract

Zhu Y, Ren F, Zhu Y, et al. Nat Sci Sleep. 2020;12:1067–1074. The authors have advised that the name of last author on page 1067 is incorrect. Mingwen Zheng should be Minwen Zheng. The authors apologize for this error. Read the original article

Published
2021

42. Gradually Increased Interhemispheric Functional Connectivity During One Night of Sleep Deprivation

Author

Zhu,Yuanqiang, Ren,Fang, Zhu,Yuanju, Zhang,Xiao, Liu,Wenming, Tang,Xing, Qiao,Yuting, Cai,Yanhui, and Zheng,Mingwen

Subjects
resting-state functional MRI, dynamic changes, Nature and Science of Sleep, Stanford Sleepiness Scale, Corrigendum, sleep deprivation, Original Research, voxel-mirrored homotopic connectivity
Abstract

Yuanqiang Zhu,1,* Fang Ren,1,* Yuanju Zhu,2,* Xiao Zhang,1 Wenming Liu,3 Xing Tang,1 Yuting Qiao,3 Yanhui Cai,3 Mingwen Zheng1 1Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi’an, Shaanxi, People’s Republic of China; 2Institute of Medicinal Chemistry, School of Pharmacy, Shandong University, Jinan, Shandong, People’s Republic of China; 3Department of Psychiatry, Xijing Hospital, Fourth Military Medical University, Xi’an, Shaanxi, People’s Republic of China*These authors contributed equally to this workCorrespondence: Yuanqiang Zhu; Mingwen ZhengDepartment of Radiology, Xijing Hospital, Fourth Military Medical University, No. 127 West Changle Road, Xi’an 710032, People’s Republic of ChinaTel/Fax +86-29-8477-5415Email Zhu_YQ_fmmu@163.com; zhengmw2007@163.comBackground: It is well known that circadian rhythms and sleep homeostasis contribute to a pronounced trough in sleepiness and behavioral performance at night. However, the underlying neuroimaging mechanisms remain unclear. How brain-function connectivity is modulated during sleep deprivation (SD) has been rarely examined.Methods: By increasing the number of scanning sessions during SD, the current study used voxel-mirrored homotopic connectivity (VMHC) to investigate dynamic changes in interhemispheric communication during one night of SD. Every 2 hours from 10 pm to 06 am (session 1, 10 pm; session 2, 12 am; session 3, 2 am; session 4, 4 am; session 5, 6 am), functional magnetic resonance–imaging data and Stanford Sleepiness Scale (SSS) scores were collected from 36 healthy participants with intermediate chronotype. Dynamic changes in SSS scores and VMHC were determined using one-way repeated-measure ANOVA with the false discovery–rate method to correct for multiple comparisons.Results: Significant time effects for VMHC were found mainly in the bilateral thalamus, bilateral superior temporal gyrus, and bilateral precentral gyrus. SSS scores and VMHC in these areas were both found to be monotonously increased during SD. Furthermore, significant positive associations were found between SSS valu and VMHC values in the left superior temporal and right superior gyri.Conclusion: These findings might represent the dynamic modulation of circadian rhythm merely or the interaction effects of both circadian rhythm and sleep homeostasis on interhemispheric connectivity within the thalamus, default-mode network, and sensorimotor network. Our study provides more comprehensive information on how SD regulates brain connectivity between hemispheres and adds new evidence of neuroimaging correlates of increased sleepiness after SD.Keywords: sleep deprivation, resting-state functional MRI, voxel-mirrored homotopic connectivity, Stanford Sleepiness Scale, dynamic changes

Published
2020

49. Adaptive backstepping tracking control of a car with n trailers based on RBF neural network.

Author

Jin, Zengke, Liang, Zhenying, Guo, Pengfei, and Zheng, Mingwen

Subjects
AUTOMOBILES, RADIAL basis functions, TRAILERS, ERROR functions, LYAPUNOV stability, DYNAMIC positioning systems, ARTIFICIAL satellite tracking
Abstract

An adaptive control scheme based on a radial basis function neural network (RBFNN) is proposed for the kinematic model of a car with n trailers. Firstly, a chained system for a kinematic model of a car with n trailers is introduced, then the tracking error system is given. Secondly, a RBFNN controller is designed using the backstepping method and adaptive method, in which neural networks (NNs) are used to approximate the unknown functions in the error system. By using Lyapunov stability theory, the adaptive law of network weights is designed. This method ensures the stability of the error system. Simulation results are provided to verify the effectiveness of the approach. [ABSTRACT FROM AUTHOR]

Published
2021
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