Research and practice of a real-time and multi-task operating system under the virtual 8086 mode

被引:0
|
作者
机构
来源
Jisuanji Yanjiu yu Fazhan | / 3卷 / 206-211期
关键词
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [41] Real Time Driver Fatigue Detection System Based on Multi-Task ConNN
    Savas, Burcu Kir
    Becerikli, Yasar
    IEEE ACCESS, 2020, 8 : 12491 - 12498
  • [42] A multi-task real-time scheduling algorithm based on dynamic weight compensation and adaptive task jumping
    Yang, Yingze
    Gui, Weihua
    Huang, Zhiwu
    2009 INTERNATIONAL CONFERENCE ON NETWORKING AND DIGITAL SOCIETY, VOL 2, PROCEEDINGS, 2009, : 229 - 232
  • [43] Research & reform on real-time operating system applied to robot
    Chen, YM
    Chen, YB
    CHINESE JOURNAL OF ELECTRONICS, 2004, 13 (04): : 564 - 568
  • [44] SHUM-UCOS: A real-time operation system for reconfigurable systems using uniform multi-task model
    Department of Computer and Information Technology, Fudan University, Shanghai 200433, China
    不详
    Jisuanji Xuebao, 2006, 2 (208-218):
  • [45] Real-time 3D reconstruction system using multi-task feature extraction network and surfel
    Li, Guangqiang
    Hou, Junyi
    Chen, Zhong
    Yu, Lei
    Fei, Shumin
    OPTICAL ENGINEERING, 2021, 60 (08)
  • [46] A REAL-TIME MONITOR FOR A DISTRIBUTED REAL-TIME OPERATING SYSTEM
    TOKUDA, H
    KOTERA, M
    MERCER, CW
    SIGPLAN NOTICES, 1989, 24 (01): : 68 - 77
  • [47] Real-time Automatic License Plate Recognition Through Deep Multi-Task Networks
    Goncalves, Gabriel R.
    Diniz, Matheus A.
    Laroca, Rayson
    Menotti, David
    Schwartz, William Robson
    PROCEEDINGS 2018 31ST SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI), 2018, : 110 - 117
  • [48] A deep learning framework for real-time multi-task recognition and measurement of concrete cracks
    Xu, Gang
    Zhang, Yingshui
    Yue, Qingrui
    Liu, Xiaogang
    ADVANCED ENGINEERING INFORMATICS, 2025, 65
  • [49] Towards a real-time simulation of elastoplastic deformation using multi-task neural networks
    R. Schmeitz
    J. J. C. Remmers
    O. Mula
    O. van der Sluis
    Advanced Modeling and Simulation in Engineering Sciences, 11 (1)
  • [50] A multi-task deep reinforcement learning approach to real-time railway train rescheduling
    Tang, Tao
    Chai, Simin
    Wu, Wei
    Yin, Jiateng
    D'Ariano, Andrea
    TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2025, 194