• Journal of the KSME
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• v.46 no.1 s.302
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• pp.34-39
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• 2006

• 월간 기계설비
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• s.6
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• pp.93-98
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• 1990

• 월간 기계설비
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• s.34
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• pp.62-67
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• 1993

• 월간 기계설비
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• s.169
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• pp.57-59
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• 2004

• 월간 기계설비
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• s.263
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• pp.34-34
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• 2012

• 월간 기계설비
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• s.263
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• pp.74-75
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• 2012

• The Journal of the Korea Contents Association
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• v.10 no.2
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• pp.330-341
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• 2010

The purpose of this study is to have comparative analysis on the differences between metropolis and provincial city's electronic security system users' security needs satisfaction and life satisfaction. This study sampled total 400 users with using purposeful sampling after selecting specific metropolis and provincial cities as population. It was conducted on 4 realms-bank, jewelry store, convenience store and communication industry- with two times. First one was on June, 2008, it was conducted in Seoul, 5 areas divided based on Hangang, which are Gang-dong, Gang-seo, Gang-nam, Gang-buk, and civic center. We sampled 40 electronic security system users of each area which are 200 in sum. Second one was on January, 2009, with users in Cheonan and Asan, 200 was sampled in the same way with metropolis; 100 users of each city. The reliability of the questionnaire showed Cronbach's ${\alpha}$ value over .812. The results are as follows. First, there showed difference on physical security needs satisfaction of electronic security system users with the size of city. In other word, users in metropolis have higher environmental, psychological, and informational security needs satisfaction than users in provincial city. Second, there is also difference in life satisfaction. Namely, users in metropolis have higher security needs satisfaction than users in provincial city. Third, security needs satisfaction of electronic security system users by city size effects life satisfaction. That is, in case of users in metropolis, the more physical, environmental, and informational security needs satisfaction it shows, the more life satisfaction it showed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.5
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• pp.1601-1607
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• 2010

This paper presents FMEA (Failure Mode Effect Analysis) for maintenance of mail sorting machine which is for automatic sorting of mail. We suggest the update method of regular diagnosis item and period for maintenance of mail sorting machine using the risk priority number which is calculated by severity, occurrence, and detection of failure mode of mail sorting machine, and shows FMEA adoption example of letter sorting machine. This paper also describes the current maintenance system and status of mail sorting machine in the domestic postal logistics environment, and FMEA adoption step. The proposed maintenance using FMEA will be adapted for more easy and efficiency maintenance of mail sorting machine.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.18 no.8
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• pp.31-37
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• 2019

The inter-development of FMECA is very important to assess the effect of potential failures during system operation on mission, safety and performance. Among these, criticality analysis is a core task that identifies items with high risk and selects the analyzed objects as the key management targets and reflects their effects to the design optimization. In this paper, we analyze the theory related to criticality analysis following US military standard, and propose a method to quantify the failure effect probability for objective criticality analysis. The criticality analysis according to the US military standard depends on the subjective judgment of the failure probability. The methodology for quantifying the failure effect probability is presented by using the reliability theory and the Bayes theorem. The failure rate is calculated by applying the method to quantify failure effect probability.

• Journal of the Korean institute of surface engineering
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• v.54 no.5
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• pp.278-284
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• 2021

Corrosion of steel plate is common phenomenon which results in the gradual destruction caused by a wide variety of environments. Corrosion monitoring is the tracking of the degradation progress for a long period of time. Corrosion on steel plate appears as a discoloration and any irregularities on the surface. In this study, we developed a quantitative evaluation method of the rust formed on steel plate by using k-means clustering from the corroded area in a given image. The k-means clustering for automated corrosion detection was based on the GrabCut segmentation and Gaussian mixture model(GMM). Image color of the corroded surface at cut-edge area was analyzed quantitatively based on HSV(Hue, Saturation, Value) color space.