TA6 Information and Network Theories
Time : 09:10~10:40
Room : Azalea
Chair : Prof.Han-Lim Choi (KAIST, Korea)
09:10~09:25        TA6-1
Comparison of RSSI collecting methods in RSSI-Based Indoor Positioning System with ZigBee

Hiroki Abe, Yu Wu, Tong Li, Shigeyuki Tateno(Waseda University, Japan)

With the development of wireless communication technologies, positioning systems attract public’s attention. Although the global positioning system (GPS) is widely used in daily life, in some situations such as indoor environment, the GPS is unable since signals from satellites cannot be received. Therefore, a more suitable positioning system in these kinds of situations is strongly desired. In this research, an indoor positioning system employing a ZigBee sensor network is utilized to obtain positions of a monitored target by using received signal strength indicator (RSSI) data.
09:25~09:40        TA6-2
Comparison of Wireless Communication Technologies in Remote Monitoring System

Tong Li, Hiroki Abe, Shigeyuki Tateno(Waseda University, Japan)

Nowadays, remote monitoring systems based on wireless communication technologies, are used in elderly care facilities and child day-care centers. In these systems, a ZigBee network with advantages of low energy consumption, flexibility and large network capacity has been used. Previous researchers proposed a system with XBee modules which are made by Digi international Inc. and widely used in the network. Moreover, the XBee module can support not only the original ZigBee network but also a special DigiMesh network.
09:40~09:55        TA6-3
Anomaly detection using Source Port Data with Shannon Entropy and EWMA Control Chart

Siriphanga Ransewa(Prince of Songkla University, Thailand)

This paper presents a network intrusion detection system using packet distributions of source port data. Shannon entropy was used to encode the data. The encoded data were employed to estimate detection parameters, which are approximated by an exponentially weighted moving average (EWMA) control chart. In the experimentation, we have determined the sizes of group that can provide accurate detection.
09:55~10:10        TA6-4
AUTOSAR Runnable Scheduling for Optimal Tradeoff between Control Performance and CPU Utilization

Jong-Chan Kim, Tae-Wook Kim(Kookmin University, Korea), Gun-Min Lee(LG Innotek, Korea)

Automobile control system should exploit the HW resource as best as possible to provide the optimal control performance. There have been many researches about control performance optimization by controlling scheduling parameters like sampling frequency and delay. This paper formulates an AUTOSAR runnable scheduling problem that extends the above researches from task-based systems to AUTOSAR-based automobile control systems. By our integer programming approach, the optimal runnable periods can be found that provides the best possible control performance without changing the control algorithm.

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