• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.69
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• pp.633-654
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• 2016

Recently open data has been spread rapidly in the world include Korea. Accordingly in international trade field open data and using it became a key point to get competitiveness. In this study, the author make an attempt to suggest the way for quality improvement of international trade information by looking for some problems with crating and using the information. Thus, the problems of using information are can be point out as follows. Firstly the range of open data is narrow. Secondly the management of the open data is not conducted properly. Thirdly the suppliers of the open data didn't prepare some investigation system for their data's usability for user. Expansion of the organizations who open data is one way to solve quantitative problem. There are four suggestions to solve qualitative problems. Firstly the guidelines should be established and operated in each organizations respectively. Secondly the criterion of expenses for open data should be arranged among the concerned parties. Thirdly the ability of the manpower and organization who charged in the quality improvement of information should be reinforced both quantitatively and qualitatively. Lastly the system for data usability for user should be equipped in early stages. Finally the author emphasize the establishment of total management system for using open data in international trade is not needed only the efforts of the specific parties but also all parties led by Ministry of Industry, Trade and Energy in order to carry out above suggestions successfully.

• Journal of Fashion Business
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• v.16 no.4
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• pp.186-199
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• 2012

Most of employees in service area frequently and strongly experience job-stress caused by emotional labour than in general. This job-stress is supposed to incur employees' burn-out, which burn-out brings a lower service quality in various aspects of physical and spiritual hospitality. The purpose of this study is to identify the impacts of burn-out on emotional labour of hair designer, with 155 primary data from a sample of 200 employees of hair shop in Seoul and Gyeongnam area. The reliability and validity of the collected data were checked through the calculation of Cronbach's ${\alpha}$ and factor analysis. The empirical research made by regression analysis confirms that emotional labour significantly has a negative effect on burn-out of hair designer. Therefore, hypothesis presented to mediate the effect of burn-out on emotional labour of hair designer was supported in positive. Hopefully, this study contributes to hair business shops for setting up a management strategy on effective job-satisfaction of hair designer.

• Journal of the Korean Society of Food Culture
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• v.23 no.3
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• pp.377-387
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• 2008

The objective of this study was to use cluster analysis to determine differences in eating-out behavior among grouped clusters of female consumers after each cluster was divided based on lifestyle patterns. The data were collected by interview survey from a biased sample of 1,300 females, ranging from ages 20 to 59, and living in residential districts of Seoul. Reliability analysis, factor analysis, cluster analysis, cross-tabulation analysis, and analysis of variance (ANOVA) were applied to the data. Four lifestyle factors were extracted by lower-division and classified as follows: health condition, consuming, food, and housing lifestyles. Based on these four factors, the female consumers were grouped as three clusters: the consuming-individuality type, rational-pursuit type, and conservative-stability type. The eating-out behavior of each cluster was significantly different in terms of frequency of eating-out, eating-out expenditures, restaurant selection criteria, food preferences, and the purpose for eating-out. Since this study surveyed females from ages 20 to 59, age and demographics were the differential factors in determining the various lifestyle types. Thus, to target the consumers who form a target market, the food industry should consider market segmentation that combines demographic factors such as age, income, and marital status.

• Culinary science and hospitality research
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• v.21 no.5
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• pp.139-146
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• 2015

The aim of this study was to investigate the association dining-out frequency, nutritional intake level and health risk factors related to metabolic syndrome among Korean women. The data in this study were obtained from the Korean National Health and Nutrition Examination Survey in 2013 (KNHANES VI). Sample of Korean women (n=3,413), aged over 20 with biochemical, dietary and health screening data, was divided into three groups according to dining-out frequency; "Rarely" (< 1 time / week), "Occasionally" (2~4 times / week) and "Frequently" (${\geq}5times/week$). The results showed that there were significantly different intake levels in energy, water, protein, fat, calcium, sodium and vitamin A according to the dining-out frequency. Each dining-out frequency group was significantly associated to obesity and Low HDL Cholesterolemia. In conclusion, this study found significant association between dining-out frequency, nutritional intake and health risk factors among Korean women. Further studies are necessary to examine subdividing into age and dining-out frequency and health risk factors related to metabolic syndrome among Korean.

• Journal of the Korean Society of Safety
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• v.11 no.1
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• pp.121-128
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• 1996

Estimating the cost of injuries and "accidents" to an organization is very important to figure out about how much well each organization has run his company and how much efficiently he has got the results using a certain amount of the expense for safety. Despite the potential usefulness to management of information as to the cost of a company's "accidents", it is not customary accounting practice to make these data available. Of the two general kinds of costs forced on a company by its occupational injuries and "accidents", the insurance cost and uninsured cost, -the former is by far the easier to find out. But actually, this uninsured cost should be figured out at each company. Authors have designed the generalized model to figure out the above problem costs to establish its efficient safety control. One construction company has been a pilot for this study. It is found that efficient safety control cost should be 1.2%~l.3% of total selling amount by analyzing actual data for three years.g actual data for three years.

• Journal of Korean Society of Rural Planning
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• v.29 no.4
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• pp.153-163
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• 2023

This study was conducted to review data utilization plans and suggest solutions based on the need for tools that can objectively diagnose problems in rural areas. The study extracted items through prior research and was carried out as a process of reviewing data capable of constructing spatial data. The results performed in the above manner are as follows. First, prior research and expert surveys were conducted to select diagnostic items to derive details of a total of three items that should be considered for rural space plans such as regional revitalization and regeneration using regional characteristics such as environment, society, and culture. Second, as a result of listing data available for regional diagnosis, 6 types of environment, 15 types of society, and 18 types of culture were selected out of a total of 529. Finally, it was suggested to establish a national standard spatial unit by grasping the limitations of public data such as omission of spatial data and accuracy. This study is significant in that it presented implications for data utilization as well as selection of items for rural diagnosis and reviewed data utilization based on rural specialized districts of "The Act on Support for Restructuring and Regeneration of Rural Spaces" to be implemented in 2024. This is considered to be valuable as a study for sustainable rural diagnosis if processes such as spatial data construction and weight setting are carried out in the future.

• Proceedings of the IEEK Conference
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• 2001.06b
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• pp.101-104
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• 2001

In this paper, we have analyzed algorithm about physical layer, data link layer and MAC layer of out-of-band specified in the DVS 178 and designed architecture of Out-of-band processor. Out-of-band processor extracts session key information from EMM packet to descramble MPEG-2 TS packet scrambled. Also, analyze EAS Packet including emergency alert information to provide emergency communications such as national emergency. In this paper, we have implemented prototype board for out-of-band processor.

• Proceedings of the KSRS Conference
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• 2005.10a
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• pp.283-285
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• 2005

To account for the importance of variable in multi-sensor data fusion, random forests are applied to supervised land-cover classification. The random forests approach is a non-parametric ensemble classifier based on CART-like trees. Its distinguished feature is that the importance of variable can be estimated by randomly permuting the variable of interest in all the out-of-bag samples for each classifier. Supervised classification with a multi-sensor remote sensing data set including optical and polarimetric SAR data was carried out to illustrate the applicability of random forests. From the experimental result, the random forests approach could extract important variables or bands for land-cover discrimination and showed good performance, as compared with other non-parametric data fusion algorithms.

• Proceedings of the Korean Geotechical Society Conference
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• 2008.03a
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• pp.858-862
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• 2008

KICT has been carrying out inventory research on the cut slopes of national roads. Inventory research results are basic data used in cut slope management system. Inventory data are classified by general status, cut slope characteristics and inspector opinion. Cut slope inventory data are utilized to figure out dangerous slopes and decide survey ranking of detailed safety diagnostication. This paper drew the distribution of dangerous cut slopes using inventory data in Chungcheongdo, then verified an efficiency on distribution of dangerous cut slopes by comparing occurrence frequency of real collapsed cut slopes.

• Proceedings of the Korean Geotechical Society Conference
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• 2008.10a
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• pp.980-983
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• 2008

KICT has been carrying out inventory research on the cut slopes of national roads. Inventory research results are basic data used in cut slope management system. Inventory data are classified by general status, cut slope characteristics and inspector opinion. Cut slope inventory data are utilized to figure out dangerous slopes and decide survey ranking of detailed safety diagnostication. This paper will draw dangerous cut slope and more important inventory data in Chungcheongdo via correlation analysis.