Learning microcontrollers with a CAI-oriented multi-micro simulation environment

被引:0
|
作者
机构
[1] Del Rio, A.
[2] Rodriguez-Andina, J.J.
[3] Nogueiras-Melendez, A.A.
关键词
Computer aided instruction - Computer peripheral equipment - Computer simulation - Embedded systems - Interfaces (computer) - Microcontrollers;
D O I
暂无
中图分类号
学科分类号
摘要
This paper presents the application of a CAI-oriented simulation environment of the 8051, namely UVI51, to the laboratory work in an introductory course on microcontrollers. The main features of UVI51 derive from its orientation to education: Very realistic simulation of both CPU and embedded peripherals, Easy-to-use interface, Graphical windows that show the state and configuration of the embedded peripherals, Ability to simulate the concurrent operation of several microcontrollers, Ability to simulate the interaction of the microcontrollers with external peripherals. A brief description of the environment and some exercises to be implemented by the students are presented. The results of the educational experience, in terms of both opinions and scores of the students, are also discussed.
引用
收藏
相关论文
共 17 条
  • [1] Study on numerical simulation of multi-micro laser shock forming
    Dai, Yibin
    Fan, Yujie
    Li, Mingyao
    Liu, Xiaoyu
    Jiang, Pengsheng
    Yin, Kaiting
    Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering, 2015, 44 : 50 - 56
  • [2] Supporting collaborative learning in a simulation-oriented VR environment
    Chee, YS
    Khoo, YB
    ADVANCED RESEARCH IN COMPUTERS AND COMMUNICATIONS IN EDUCATION, VOL 2: NEW HUMAN ABILITIES FOR THE NETWORKED SOCIETY, 1999, 55 : 659 - 662
  • [3] Multi-disciplinary simulation and analysis of complex product in service oriented environment
    Wang, Hongwei
    Liao, Shih-wei
    Zhang, Heming
    IEEE INTERNATIONAL CONFERENCE ON SERVICE-ORIENTED COMPUTING AND APPLICATIONS, PROCEEDINGS, 2007, : 155 - +
  • [4] Simulation and multi-agent environment for aircraft maintenance learning
    Gouardères, G
    Minko, A
    Richard, L
    ARTIFICIAL INTELLIGENCE: METHODOLOGY, SYSTEMS, APPLICATIONS, PROCEEDINGS, 2000, 1904 : 152 - 166
  • [5] Design and Research of Multi-User Oriented Micro Traffic Simulation Experiment System
    Wu, Chun-Jiang
    Zhou, Shi-Jie
    Chen, Peng-Fei
    Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China, 2021, 50 (04): : 544 - 550
  • [6] An object oriented multi-robotic graphic simulation environment for programming the welding tasks
    崔泽
    赵杰
    崔岩
    蔡鹤皋
    China Welding, 2002, (01) : 79 - 85
  • [7] Towards a multi-agent interactive learning environment oriented to the Petri net domain
    Gois, GM
    Perkusich, A
    de Figueiredo, JCA
    Costa, EB
    1998 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-5, 1998, : 250 - 255
  • [8] SEATER - AN OBJECT-ORIENTED SIMULATION ENVIRONMENT USING LEARNING AUTOMATA FOR TELEPHONE TRAFFIC ROUTING
    ZGIERSKI, JR
    OOMMEN, BJ
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1994, 24 (02): : 349 - 356
  • [9] M-ROSE: A multi robot simulation environment for learning cooperative behavior
    Buck, S
    Beetz, M
    Schmitt, T
    DISTRIBUTED AUTONOMOUS ROBOTIC SYSTEMS 5, 2002, : 197 - 206
  • [10] Integrate multi-agent simulation environment and multi-agent reinforcement learning (MARL) for real-world scenario
    Yeo, Sangho
    Lee, Seungjun
    Choi, Boreum
    Oh, Sangyoon
    11TH INTERNATIONAL CONFERENCE ON ICT CONVERGENCE: DATA, NETWORK, AND AI IN THE AGE OF UNTACT (ICTC 2020), 2020, : 523 - 525