Electric doors have been applied in urban trains since 2007 and operated for a long time. Recently, the failure of mechanical devices in electric doors have been increasing. The door is a device that is directly related to the safety of passengers. The rivet breakage of a ball/nut assembly may occur to an accident during train operation. In this study, the operating voltage and acceleration data of the door were collected for rivet condition monitoring, and 4 features were extracted in the frequency domain using the acceleration data. The classification performance of the rivet condition according to the axial direction of the acceleration data and 4 kernel functions was evaluated using SVM algorithm. When the X-axis data and Gaussian kernel function were used, the highest classification performance was shown for the electric door’s rivet with 90% accuracy.

  The purpose of this study is to identify the factors affecting intention to use blog. For this end, the individual characteristics (Subject Norm, Perceived Enjoyment, and Self-Efficacy) and the variables used in TAM (Perceived Ease of Use, and Perceived

The purpose of this study is to identify the factors affecting intention to use blog. Especially, The factors such as subject norm, perceived enjoyment, self-efficacy are individual characteristics to identify in this study. Also, Technology Acceptance Model(TAM) that has been widely used to predict the end-user's acceptance of a new technology is adopted for the study. A model with individual characteristics (subject norm, perceived enjoyment, and self-efficacy) and Technology Acceptance Model variables (perceived ease of use, and perceived usefulness) were used to explain intention to use blog. The suggested model has been empirically tested with questionaries. The result shows that individual characteristics such as perceived enjoyment and self-efficacy and factors of technology acceptance model have significant impact on users' intention using blog.

Recently, there is the trend that online and reuse have been focused via digitalization of information and business proc-ess that individuals, government and firms own This study, by designing and Implementing a system, has the arm to pro-vide on-line inf

The modified biochemical oxygen demand (MBOD) were conducted to evaluate the water quality and fertility in the Mangyeong river from november 2002 to april 2003. MBOD method was used to evaluate algal growth potentials and their limiting factors. MBOD depends on the amount of available inorganic nutrient and organic substrate during 5-day incubation in the dark condition at 20℃. The MBOD assay depends on inorganic nutrients such as phosphorus and nitrogen as well as reduced carbon as called MBOD, MBOD-P, and MBOD-N, respectively. The concentration of pollutants were in the range of 3.08～48.36 mg/L for COD. The concentration of nutrients were in the range of 0.37～111.62 mg/L for dissolved inorganic nitrogen (DIN) and 0.00～1.03 mg/L for dissolved inorganic phosphorus (DIP). The results of MBOD bioassay showed that the MBOD, MBOD-P and MBOD-N values were 15～173 mg O2/L, 13～165 mg O2/L and 66～175 mg O2/L ranges, respectively. The MBOD values are found to be the highest in Iksan River and the lowest in Hari River throughout the Mangyeong River. The relationships of MBOD, MBOD-P and MBOD-N in MBOD method were generally found in MBOD≒MBOD-P≒MBOD-N. But the result of Gosan was appeared to MBOD≒MBOD-N>MBOD-P. The MBOD-N value was higher 3 to 5 times than the MBOD-P value in the Gosan station. The algal growth potentials expressed as the concentration of chlorophyll-a were maximum 20 times more than algal biomass in the water column.