• Fashion & Textile Research Journal
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• v.12 no.1
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• pp.109-113
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• 2010

Since July 2007, the government has banned the use of the existing non-legal measurement units, and has forced us to use the unified legal measurement. Therefore, the existing clothing size unit also has been changed into centimeter dimensions from inches. However, consumers have been familiar to used to the traditional inches unit. So they have the confusion to directly survey the size table sign for clothing or to contact the employee when purchasing clothing. By the current size table sign the customers can compare the inches unit and centimeters unit, but they are difficult to see it. Therefore, there is necessary to improve the size table sign by the way that can be easy to be found and seen by consumers is given to the clothing corners. In this research, three improved size table signs were developed. And they were evaluated by the consumers in terms of preferences and awareness of them. Eventually, the best size table sign was selected. From this result, if the large-discount mart use the best improved size table sign on behalf of the current one, the problems of existing size table sign will overcome and improve customer satisfaction.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.36S no.12
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• pp.97-106
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• 1999

We propose a new watermarking method to embed a label in a video which is robust against the change of the group of picture. The proposed method embeds labels in the pixel domain, but detects the label in the DCT frequency domain. For embedding a label, the size of watermark based on the human visual system is calculated to keep a quality of videos. A lookup table haying the pixel patterns and the sequences of a sign of DCT coefficients is used for detecting a label in the DCT frequency domain. In this paper, we analyze bit error rates for labels of videos compressed by MPEG2 using the central limit theorem and compare the simulation results with previous methods.

• Korean Journal of Community Nutrition
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• v.12 no.2
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• pp.150-159
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• 2007

Since the 1980's, despite the conclusion of a number of studies in Western countries focusing upon weight maintenance there has been no similar research in Korea which takes into account the contrasts of culture and eating habits between east and west. In order to identify eating, snacking and exercise behaviors, 24 female university students who have maintained weight for at least a year were enrolled fur an 11 day study. Participants were required to sign into the program and complete the questionnaire, answering questions by concerning what they ate and did everyday. After excluding unanswered questions, data over 11 days were exported into the Microsoft Excel spreadsheet, then both ANOVA and Kendall's tau correlation were applied with SPSS. 75% of weight maintainers had normal BMI (18-23.5) in relation to Korean standard, and appeared to eat a main meal smaller than moderate in portion size. Only two days showed that amount of breakfast eaten negatively correlated with lunch (p < 0.05), while no correlations between amounts of lunch and dinner eaten over all study period. Compared with breakfast or lunch, dinner was usually larger in portion size, but some variables such as TV viewing, restaurant meals, number of people at dinner table seemed not correlated with amount of dinner eaten. In addition, the weight-maintainers reported they rarely consumed snacks or sweetened beverages. Unlike their western counterparts, ffw participants reported that they took part in regular exercise during the day, which may lead us to the conclusion that these young female weight maintainers seem to maintain their weight with eating behaviours such as 'eat small portion', 'avoid snacking' and 'avoid soft drinks' rather than doing regular exercise. The study did not include a control group, and was foreshortened due to technical difficulties so it may be necessary to repeat the study while considering these two points.

• Journal of the Korea institute for structural maintenance and inspection
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• v.19 no.2
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• pp.92-98
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• 2015

Recently, buildings tend to be large size, complex shape and functional. As the size of buildings is becoming massive, the need for structural health monitoring (SHM) technique is increasing. Various SHM techniques have been studied for buildings which have different dynamic characteristics and influenced by various external loads. "Abnormal behavior point" is a moment when the structure starts vibrating abnormally and this can be detected by comparing between before and after abnormal behavior point. In other words, anomalous behavior is a sign of damage on structures and estimating the abnormal behavior point can be directly related to the safety of structure. Abnormal behavior causes damage on structures and this leads to enormous economic damage as well as damage for humans. This study proposes an estimating technique to find abnormal behavior point using Hilber-Huang Transform which is a time-frequency signal analysis technique and the proposed algorithm has been examined through laboratory tests with a bridge model using a shaking table.

• Journal of Distribution Research
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• v.17 no.3
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• pp.115-132
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• 2012

This study empirically examines the impact of SSM market entry on changes in market shares among retailing types. The data is monthly time-series data spanning over the period from January 2000 to December 2010, and the effect of SSM market entry on market shares of retailing types is analyzed by utilizing several key factors such as the number of new SSM monthly entrants, total number of SSMs, the proportion of new SSM entrant that is smaller than $165m^2$ to total new SSM entrants. According to the Korean Standard Industrial Classification codes, the retailing type is classified into 5 groups: department stores, retail sale in other non-specialized large stores(big marts), supermarkets, convenience stores, and retail sale in other non-specialized stores with food or beverages predominating (others). The market shares of retailing types are calculated by the ratio of each retailing type monthly sales to total monthly retailing sales in which total retailing sales is the sum of each retailing type sales. The empirical model controls for the size effects with the number of monthly employees for each retailing type and the macroeconomic effects with M2. The empirical model employed in this study is as follows; $$MS_i=f(NewSSM,\;CumSSM,\;employ_i,\;under165,\;M2)$$ where $MS_i$ is the market share of each retailing type (department stores, big marts), supermarkets, convenience stores, and others), NewSSM is the number of new SSM monthly entrants, CumSSM is total number of SSMs, $employ_i$ is the number of monthly employees for each retailing type, and under165 is the proportion of new SSM entrant that is smaller than $165m^2$ to total new SSM entrants. The correlation among these variables are reported in