• Journal of Nutrition and Health
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• v.50 no.5
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• pp.483-493
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• 2017

Purpose: The purpose of this study was to determine trends in dietary vitamin E intakes and contributing food groups among Korean adults. Methods: This study included 66,695 subjects aged ${\geq}19years$ who completed a nutrition survey as part of the Korea National Health and Nutrition Examination Survey (1998, 2001, 2005, 2007~2009, 2010~2012, 2013~2015). We estimated individual daily intakes of ${\alpha}-$, ${\beta}-$, ${\gamma}-$, ${\delta}-tocopherol$, and total vitamin E by linking food consumption data with a vitamin E database of commonly consumed foods. Results: Daily vitamin E intake significantly increased from $6.4mg\;{\alpha}-TE/d$ in 1998 to $7.7mg\;{\alpha}-TE/d$ in 2013~2015 (p for trend < 0.0001) among men as well as from $5.4mg\;{\alpha}-TE/d$ in 1998 to $6.5mg\;{\alpha}-TE/d$ in 2013~2015 among women (p for trend < 0.0001). However, the intake of vitamin E was lower than the adequate intake (AI) of Dietary Reference Intakes for Koreans 2015 (2015 KDRI). In 2013~2015, men consumed 6.5 mg/d of ${\alpha}-tocopherol$, 0.5 mg/d of ${\beta}-tocopherol$, 6.0 mg/d of ${\gamma}-tocopherol$, and 3.9 mg/d of ${\delta}-tocopherol$, whereas women consumed 5.7 mg/d of ${\alpha}-tocopherol$, 0.4 mg/d of ${\beta}-tocopherol$, 4.8 mg/d of ${\gamma}-tocopherol$, and 2.8 mg/d of ${\delta}-tocopherol$. The major food groups contributing to vitamin E intake were vegetables (men: 23.3%, women: 22.7%), grains (men: 14.5%, women: 13.9%), and eggs (men: 13.0%, women: 12.5%). Conclusion: This study provides scientific evidence for vitamin E intake in Korean adults. Since the current intake of vitamin E was lower than the reference intakes set by 2015 KDRI, dietary vitamin E intake should be monitored regularly among Korean adults.

• Journal of Nutrition and Health
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• v.51 no.3
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• pp.215-227
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• 2018

Purpose: This study was conducted to verify the effects of increases in consuming Korean food in patients who underwent cardiovascular disease (CVD) surgery based on a Korean diet control education program and to investigate the effects of Korean diet control nutrition education on risk factors of CVD, changes in amounts of medication, and nutritional intakes. Methods: The subjects consisted of 15 patients who have undergone CVD surgery within three years and continuously taken cardiovascular drugs. The Korean traditional diet (KTD) emphasizes intake of vegetables and fermented foods to lower saturated fat and cholesterol intake. We applied a KTD education program that included a modified DASH (The dietary approaches to stop hypertension) diet for cardiovascular disease patients. Korean diet control education was then applied to the patients for 12 weeks to evaluate the risk factors of CVD and the state of nutritional intakes. Results: The Korean diet control compliance score increased significantly (p < 0.001) as Korean diet control education was implemented. Additionally, the obesity indexes, waist circumference (WC) (p = 0.002) and waist-to-hip ratio (WHR) decreased significantly (p < 0.001) after subjects received the education. Moreover, the glycemic control index, HbA1c, was significantly decreased (p < 0.05) from $7.3{\pm}1.0%$ before the education to $7.0{\pm}1.1%$ after the education. Changes in the amounts of Korean diet intake consisted of significant increases in cooked rice with whole grains, narmuls (vegetables either raw or cooked), kimchi, and traditional fermented foods following the education. Moreover, the nutritional intake after the education showed significant decreases (p < 0.05) in animal protein, animal lipids, and cholesterol. However, the intakes of Na, K, dietary fiber, vitamin A, vitamin $B_6$, vitamin C, and folic acid were significantly increased. Conclusion: The active encouragement of consuming Korean food and the intervention of implementing diet control education positively affected nutritional intake, the obesity index and glycemic control of patients who have undergone CVD surgery.

• Journal of Intelligence and Information Systems
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• v.21 no.1
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• pp.65-82
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• 2015

Recently, there has been a surge of interest in finding core issues and analyzing emerging trends for the future. This represents efforts to devise national strategies and policies based on the selection of promising areas that can create economic and social added value. The existing studies, including those dedicated to the discovery of future promising fields, have mostly been dependent on qualitative research methods such as literature review and expert judgement. Deriving results from large amounts of information under this approach is both costly and time consuming. Efforts have been made to make up for the weaknesses of the conventional qualitative analysis approach designed to select key promising areas through discovery of future core issues and emerging trend analysis in various areas of academic research. There needs to be a paradigm shift in toward implementing qualitative research methods along with quantitative research methods like text mining in a mutually complementary manner. The change is to ensure objective and practical emerging trend analysis results based on large amounts of data. However, even such studies have had shortcoming related to their dependence on simple keywords for analysis, which makes it difficult to derive meaning from data. Besides, no study has been carried out so far to develop core issues and analyze emerging trends in special domains like the aviation industry. The change used to implement recent studies is being witnessed in various areas such as the steel industry, the information and communications technology industry, the construction industry in architectural engineering and so on. This study focused on retrieving aviation-related core issues and emerging trends from overall research papers pertaining to aviation through text mining, which is one of the big data analysis techniques. In this manner, the promising future areas for the air transport industry are selected based on objective data from aviation-related research papers. In order to compensate for the difficulties in grasping the meaning of single words in emerging trend analysis at keyword levels, this study will adopt topic analysis, which is a technique used to find out general themes latent in text document sets. The analysis will lead to the extraction of topics, which represent keyword sets, thereby discovering core issues and conducting emerging trend analysis. Based on the issues, it identified aviation-related research trends and selected the promising areas for the future. Research on core issue retrieval and emerging trend analysis for the aviation industry based on big data analysis is still in its incipient stages. So, the analysis targets for this study are restricted to data from aviation-related research papers. However, it has significance in that it prepared a quantitative analysis model for continuously monitoring the derived core issues and presenting directions regarding the areas with good prospects for the future. In the future, the scope is slated to expand to cover relevant domestic or international news articles and bidding information as well, thus increasing the reliability of analysis results. On the basis of the topic analysis results, core issues for the aviation industry will be determined. Then, emerging trend analysis for the issues will be implemented by year in order to identify the changes they undergo in time series. Through these procedures, this study aims to prepare a system for developing key promising areas for the future aviation industry as well as for ensuring rapid response. Additionally, the promising areas selected based on the aforementioned results and the analysis of pertinent policy research reports will be compared with the areas in which the actual government investments are made. The results from this comparative analysis are expected to make useful reference materials for future policy development and budget establishment.

• Journal of Intelligence and Information Systems
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• v.21 no.3
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• pp.117-129
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• 2015

As the Internet becomes ubiquitous, a large volume of information is posted on the Internet with exponential growth every day. Accordingly, it is not unusual that investors in stock markets gather and compile firm-specific or market-wide information through online searches. Importantly, it becomes easier for investors to acquire value-relevant information for their investment decision with the help of powerful search tools on the Internet. Our study examines whether or not the Internet helps investors assess a firm's value better by using firm-level data over long periods spanning from January 2004 to December 2013. To this end, we construct weekly-based search volume for information technology (IT) services firms on the Internet. We limit our focus to IT firms since they are often equipped with intangible assets and relatively less recognized to the public which makes them hard-to measure. To obtain the information on those firms, investors are more likely to consult the Internet and use the information to appreciate the firms more accurately and eventually improve their investment decisions. Prior studies have shown that changes in search volumes can reflect the various aspects of the complex human behaviors and forecast near-term values of economic indicators, including automobile sales, unemployment claims, and etc. Moreover, search volume of firm names or stock ticker symbols has been used as a direct proxy of individual investors' attention in financial markets since, different from indirect measures such as turnover and extreme returns, they can reveal and quantify the interest of investors in an objective way. Following this line of research, this study aims to gauge whether the information retrieved from the Internet is value relevant in assessing a firm. We also use search volume for analysis but, distinguished from prior studies, explore its impact on return comovements with market returns. Given that a firm's returns tend to comove with market returns excessively when investors are less informed about the firm, we empirically test the value of information by examining the association between Internet searches and the extent to which a firm's returns comove. Our results show that Internet searches are negatively associated with return comovements as expected. When sample is split by the size of firms, the impact of Internet searches on return comovements is shown to be greater for large firms than small ones. Interestingly, we find a greater impact of Internet searches on return comovements for years from 2009 to 2013 than earlier years possibly due to more aggressive and informative exploit of Internet searches in obtaining financial information. We also complement our analyses by examining the association between return volatility and Internet search volumes. If Internet searches capture investors' attention associated with a change in firm-specific fundamentals such as new product releases, stock splits and so on, a firm's return volatility is likely to increase while search results can provide value-relevant information to investors. Our results suggest that in general, an increase in the volume of Internet searches is not positively associated with return volatility. However, we find a positive association between Internet searches and return volatility when the sample is limited to larger firms. A stronger result from larger firms implies that investors still pay less attention to the information obtained from Internet searches for small firms while the information is value relevant in assessing stock values. However, we do find any systematic differences in the magnitude of Internet searches impact on return volatility by time periods. Taken together, our results shed new light on the value of information searched from the Internet in assessing stock values. Given the informational role of the Internet in stock markets, we believe the results would guide investors to exploit Internet search tools to be better informed, as a result improving their investment decisions.

• Journal of Intelligence and Information Systems
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• v.18 no.1
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• pp.23-38
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• 2012

There is a large difference between purchasing patterns in an online shopping mall and in an offline market. This difference may be caused mainly by the difference in accessibility of online and offline markets. It means that an interval between the initial purchasing decision and its realization appears to be relatively short in an online shopping mall, because a customer can make an order immediately. Because of the short interval between a purchasing decision and its realization, an online shopping mall transaction usually contains fewer items than that of an offline market. In an offline market, customers usually keep some items in mind and buy them all at once a few days after deciding to buy them, instead of buying each item individually and immediately. On the contrary, more than 70% of online shopping mall transactions contain only one item. This statistic implies that traditional data mining techniques cannot be directly applied to online market analysis, because hardly any association rules can survive with an acceptable level of Support because of too many Null Transactions. Most market basket analyses on online shopping mall transactions, therefore, have been performed by expanding the co-occurrence criteria of traditional association rule mining. While the traditional co-occurrence criteria defines items purchased in one transaction as concurrently purchased items, the expanded co-occurrence criteria regards items purchased by a customer during some predefined period (e.g., a day) as concurrently purchased items. In studies using expanded co-occurrence criteria, however, the criteria has been defined arbitrarily by researchers without any theoretical grounds or agreement. The lack of clear grounds of adopting a certain co-occurrence criteria degrades the reliability of the analytical results. Moreover, it is hard to derive new meaningful findings by combining the outcomes of previous individual studies. In this paper, we attempt to compare expanded co-occurrence criteria and propose a guideline for selecting an appropriate one. First of all, we compare the accuracy of association rules discovered according to various co-occurrence criteria. By doing this experiment we expect that we can provide a guideline for selecting appropriate co-occurrence criteria that corresponds to the purpose of the analysis. Additionally, we will perform similar experiments with several groups of customers that are segmented by each customer's average duration between orders. By this experiment, we attempt to discover the relationship between the optimal co-occurrence criteria and the customer's average duration between orders. Finally, by a series of experiments, we expect that we can provide basic guidelines for developing customized recommendation systems. Our experiments use a real dataset acquired from one of the largest internet shopping malls in Korea. We use 66,278 transactions of 3,847 customers conducted during the last two years. Overall results show that the accuracy of association rules of frequent shoppers (whose average duration between orders is relatively short) is higher than that of causal shoppers. In addition we discover that with frequent shoppers, the accuracy of association rules appears very high when the co-occurrence criteria of the training set corresponds to the validation set (i.e., target set). It implies that the co-occurrence criteria of frequent shoppers should be set according to the application purpose period. For example, an analyzer should use a day as a co-occurrence criterion if he/she wants to offer a coupon valid only for a day to potential customers who will use the coupon. On the contrary, an analyzer should use a month as a co-occurrence criterion if he/she wants to publish a coupon book that can be used for a month. In the case of causal shoppers, the accuracy of association rules appears to not be affected by the period of the application purposes. The accuracy of the causal shoppers' association rules becomes higher when the longer co-occurrence criterion has been adopted. It implies that an analyzer has to set the co-occurrence criterion for as long as possible, regardless of the application purpose period.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.9
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• pp.6089-6098
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• 2015

This study purposes to identify the effects of performance of public health services (PHS) and personal characteristics on community image to public hospitals. The subjects of this study were 33 public hospitals and 1,789 community residents. The data of '2011 Public hospital evaluation programme' were utilized in this study. The personal characteristics consisted of nine items which were gender, age, education, occupation, monthly incomes, medical security, use experience, health state, and location type. The PHS performance consisted of five items which were number of doctors, number of nurses, total number of staff, budget per 1,000 community residents, and amount of activities per 1,000 community residents. The cronbach's alpha of community image instrument was 0.916. As the results of logistic regression, the significant variables of community image, were age (OR=0.34, 95% CI=0.19-0.60), education (OR=3.03, 95% CI=1.60-5.76), use experience (OR=0.57, 95% CI=0.40-0.81), health state (OR=0.69 95% CI=0.49-0.96), location type (OR=2.10, 95% CI=1.11-3.99), and amount of activities per 1,000 community residents (OR=0.58, 95% CI=0.35-0.96). Community image is very important to public hospitals. The workforce and budget related PHS were significantly demanded to improve community image. The Central and Local government should support to public hospitals to perform PHS effectively.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.30 no.1
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• pp.66-75
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• 2012

The Seoul Metropolitan Government selected the sign designs of cultural heritages through a public prize contest from a public design perspective and applied the selected design format to the signs of the cultural assets that were designated by the central and Seoul governments and located in Seoul Metropolitan area in 2008. For the purpose of monitoring the result, this study analyzed the installation state of the signs of Seoul tangible cultural properties located in Jongno-gu. The scope of the analysis of this study was expanded to cover the surrounding areas of cultural heritages in order to review the arrangement and design of such signs. The result of this study can be summarized as follows; firstly, not only the flow of travelers' movement but also the direction of sight, their locations in relation to the surrounding facilities or other installations and the integration with similar signs or notices were necessary to be considered in the arrangement of the signs; secondly, the current sings had low quality in terms of durability and readability and seemed utterly distance from the cultural assets indicated by the signs because they were finished with tempered glass; thirdly, the size, shape and materials of the signs were not harmonized with their surrounding areas as only one design was used in the entire cultural property sites without considering such natural or artificial backgrounds of individual signs as rocks, plants, walls or buildings. When selecting the design format of the signs of individual cultural properties that are located dispersively as Seoul tangible cultural properties, it is recommended to determine a group of most representative designs based on natural, man-made and cultural landscape rather than one unified design format and to use a unique well-matched sign for each cultural property. For this reason, this study selected alternative exemplary design models and proposed the type of signs appropriate for each cultural site.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.9
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• pp.6080-6088
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• 2015

The purpose of study is to find difference in the quality of life and related factors according to the employment status. Using data from the fifth National Health and Nutrition Survey, economically active population of 20-69 years old 3,429 participants who said to questions of 'economic activity status' were finally used as analysis subjects in Korea. According to economic activity status, individuals were divided by the six different employment status and their quality of life was inspected using the EQ-5D dimensions and index score as well as analyzing the factors affecting the quality of life. As a result, unemployed compared to full-time workers, had significantly higher needs of four dimensions and Unpaid family workers had in the dimensions of Mobility, Self-care and Usual activities and temporary job had in the dimensions of Self-care and Usual activities. After figuring out life quality factors according to employment status, it was found that compared to full-time workers greater age(${\beta}=-0.089$, p<0.001), more stress(${\beta}=-0.143$, p<0.0001), hyperlipidemia(${\beta}=-0.064$, p<0.0001), stroke, arthritis(${\beta}=-0.160$, p<0.0001), respiratory diseases(${\beta}=-0.055$, p<0.001) and chronic health conditions were more influential to low quality of life for temporary job(${\beta}=-0.034$, p<0.05), day workers(${\beta}=-0.078$, p<0.0001) and unemplyed(${\beta}=-0.052$, p<0.01). The study is reported that it is to find difference in the quality of life and related factors according to the employment status and it is considered to provide basis for health evaluation of utilization in the same field of study.

• Journal of Navigation and Port Research
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• v.26 no.3
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• pp.323-328
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• 2002

Soil-steel structures have been used for the underpass, or drainage systems in the road embankment. This type of structures sustain external load using the correlations with the steel wall and engineered backfill materials. Buried flexible conduits made of corrugated steel plates for the coastal road was tested under vehicle loading to investigate the effects of live load. Testing conduits was a circular structure with a diameter of 6.25m. Live-load tests were conducted on two sections, one of which an attempt was made to reinforce the soil cover with the two layers of geo-gird. Hoop fiber strains of corrugated plate, normal earth pressures exerted outside the structure, and deformations of structure were instrumented during the tests. This paper describes the measured static and dynamic load responses of structure. Wall thrust by vehicle loads increased mainly at the crown and shoulder part of the conduit. However additional bending moment by vehicle loads was neglectable. The effectiveness of geogrid-reinforced soil cover on reducing hoop thrust is also discussed based on the measurements in two sections of the structure. The maximum thrusts at the section with geogrid-reinforced soil cover was 85-92% of those with un-reinforced soil cover in the static load tests of the circular structure; this confirms the beneficial effect of soil cover reinforcement on reducing the hoop thrust. However, it was revealed that the two layers of geogrid had no effect on reducing the overburden pressure at the crown level of structure. The obtained values of DLA decrease approximately in proportion to the increase in soil cover from 0.9m to 1.5m. These values are about 1.2-1.4 times higher than those specified in CHBDC.

• Journal of Korean Society of Forest Science
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• v.101 no.1
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• pp.163-174
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• 2012

CBI(Composite Burn Index) developed by USDA Forest Service is a index to measure burn severity based on remote sensing. In Korea, the CBI has been used to investigate the burn severity of fire sites for the last few years. However, it has been an argument on that CBI is not adequate to capture unique characteristics of Korean forests, and there has been a demand to develop KCBI(Korean Composite Burn Index). In this regard, this study aimed to develop KCBI by adjusting the CBI and to validate its applicability by using remote sensing technique. Uljin and Youngduk, two large fire sites burned in 2011, were selected as study areas, and forty-four sampling plots were assigned in each study area for field survey. Burn severity(BS) of the study areas were estimated by analyzing NDVI from SPOT images taken one month later of the fires. Applicability of KCBI was validated with correlation analysis between KCBI index values and NDVI values and their confusion matrix. The result showed that KCBI index values and NDVI values were closely correlated in both Uljin (r = -0.54 and p<0.01) and Youngduk (r = -0.61 and p<0.01). Thus this result supported that proposed KCBI is adequate index to measure burn severity of fire sites in Korea. There was a number of limitations, such as the low correlation coefficients between BS and KCBI and skewed distribution of KCBI sampling plots toward High and Extreme classes. Despite of these limitations, the proposed KCBI showed high potentials for estimating burn severity of fire sites in Korea, and could be improved by considering the limitations in further studies.