JOURNAL OF COMPUTERS (JCP)
ISSN : 1796-203X
Volume : 3    Issue : 7    Date : July 2008

RFID Technology and its Perspective Analysis with KERGM(1,1) Model
Liu Bin, Zhang Rong, and Liu Sifeng
Page(s): 9-15
Full Text:
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Abstract
RFID (Radio Frequency Identification) technology will be indispensable to our future life. This paper
gives certain insight analysis of RFID system from the view of application perspective. First, this
paper introduces some essential implementation principles of RFID system and shows its hot
application areas. Then, we analyze the limiting factors of RFID system in advanced development,
and present a generalized modeling process from the view of knowledge-embedded data mining.
Further, based on the above though of knowledge-embedded data mining, a new forecasting
method, KERGM(1,1), is developed to forecast RFID’s potential application prospect. Lastly, several
countermeasures and advices for the development of RFID industry are put forward. It is shown that
the future RFID industry should be greatly promising, however, some countermeasures should be
adopted to support its development, such as reducing the cost of RFID tag with technical innovation,
popularizing RFID system in wider fields, and strengthening international cooperation in RFID
standard system.

Index Terms
RFID; knowledge-embedded data mining; KERGM(1,1) model; modeling.