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[Author] Minho LEE(3hit)

1-3hit
  • Enhanced Mechanism for Address Configuration in Wireless Internet

    SooHong PARK  MinHo LEE  PyungSoo KIM  Youngkeun KIM  

     
    LETTER-Internet

      Vol:
    E87-B No:12
      Page(s):
    3777-3780

    This letter describes the current mechanism for IP address configuration in the wireless Internet and examines its drawbacks, and suggests a new mechanism of address configuration which provides a reduced message exchange for address configuration in the wireless Internet over the current 4-way message exchange when performing address configuration through DHCP. Analytic performance evaluation and comparison have shown that the proposed mechanism is faster in terms of delay than the existing mechanism including reduced packet loss when in motion.

  • Automated Connection of IPv6 Via IPv4 Clouds

    SooHong PARK  MinHo LEE  YoungKeun KIM  Jordi PALET  Miguel A. DIAZ  

     
    PAPER-Internet

      Vol:
    E89-B No:5
      Page(s):
    1581-1588

    Tunneling is commonly used in several transition mechanisms. Some of the mechanisms discover the tunnel endpoint automatically by their own means. This paper describes several tunnel discovery mechanisms for IPv6 traversal beyond IPv4 legacy networks and suggests a new mechanism by which the DHCPv4 server can automatically provide configuration information about IPv6-in-IPv4 tunnel. Dual stack nodes attached to IPv4 network can communicate with other IPv6 networks by this mechanism beyond IPv4 networks without user intervention. Implementations have shown that the proposed mechanism can be a convenient and valuable tunnel discovery mechanism in some cases.

  • Active Vision System Based on Human Eye Saccadic Movement

    Sang-Woo BAN  Jun-Ki CHO  Soon-Ki JUNG  Minho LEE  

     
    PAPER

      Vol:
    E83-A No:6
      Page(s):
    1066-1074

    We propose a new active vision system that mimics a saccadic movement of human eye. It is implemented based on a new computational model using neural networks. In this model, the visual pathway was divided in order to categorize a saccadic eye movement into three parts, each of which was then individually modeled using different neural networks to reflect a principal functionality of brain structures related with the saccadic eye movement in our brain. Initially, the visual cortex for saccadic eye movements was modeled using a self-organizing feature map, then a modified learning vector quantization network was applied to imitate the activity of the superior colliculus relative to a visual stimulus. In addition, a multilayer recurrent neural network, which is learned by an evolutionary computation algorithm, was used to model the visual pathway from the superior colliculus to the oculomotor neurons. Results from a computer simulation show that the proposed computational model is effective in mimicking the human eye movements during a saccade. Based on the proposed model, an active vision system using a CCD type camera and motor system was developed and demonstrated with experimental results.