• Journal of Preventive Medicine and Public Health
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• v.48 no.4
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• pp.203-215
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• 2015

Objectives: This study was performed to investigate the relationship between the incidence of national notifiable infectious diseases (NNIDs) and meteorological factors, air pollution levels, and hospital resources in Korea. Methods: We collected and stored 660 000 pieces of publicly available data associated with infectious diseases from public data portals and the Diseases Web Statistics System of Korea. We analyzed correlations between the monthly incidence of these diseases and monthly average temperatures and monthly average relative humidity, as well as vaccination rates, number of hospitals, and number of hospital beds by district in Seoul. Results: Of the 34 NNIDs, malaria showed the most significant correlation with temperature (r=0.949, p<0.01) and concentration of nitrogen dioxide (r=-0.884, p<0.01). We also found a strong correlation between the incidence of NNIDs and the number of hospital beds in 25 districts in Seoul (r=0.606, p<0.01). In particular, Geumcheon-gu was found to have the lowest incidence rate of NNIDs and the highest number of hospital beds per patient. Conclusions: In this study, we conducted a correlational analysis of public data from Korean government portals that can be used as parameters to forecast the spread of outbreaks.

• Journal of the Korean Society of School Health
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• v.22 no.2
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• pp.103-111
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• 2009

Purpose: By analyzing factors related to suicide ideation of Korean middle and high school students, the purpose of this study was to multi-dimensionally understand suicide ideation of Korean middle and high school students and arrange the plans to prevent suicide. Methods: This study used and analyzed the data on ‘The 3rd (Year2007) Korea Youth Health Risk Behavior Web-based Survey (KYHRBWS)' conducted by the Korea Centers for Disease Control and Prevention. In this study, we analyzed 74,698 respondents in total. SPSS 12.0 Program was used to analyze the survey. Descriptive statistics, Chi-Square Test and multivariate logistic regression were also used as research methods. Results: 23.8% of the Korean middle and high school students had suicide ideation during the last one year. Girls had higher possibility of suicide ideation by 1.51 times compared to boys. Students with poor academic achievement had more suicide ideation. In terms of health characteristics, students who perceived themselves as not healthy, and students with short weekday sleeping hours, more drinking experience and more smoking experience had more suicide ideation than others. Furthermore, students who perceived themselves as overweight or obese had more suicide ideation than other students. In terms of mental characteristics, students with high level of stress, low level of happiness and depression had more suicide ideation. Conclusion: As a result of this study, we found out that the factor that had the biggest influence on suicide ideation of Korean middle and high school students was depression. Consequently, active supports and policies to decrease suicide ideation of Korean middle and high school students are necessary. Therefore, active interviews, education for suicide prevention, and periodical screening inspection should be introduced in schools.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.30 no.3
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• pp.287-294
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• 2012

The spread of infectious diseases in the event of livestock is getting faster and the route of spread gets more varied. It is important for the responsible agency to detect early and establish a prevention and surveillance system. If the spread cannot be contained effectively, great damage and loss will be inevitable in terms of social, environment and economic aspects as well as the welfare of the farmers. At present in Korea, a web-based Infectious Livestock Diseases Statistics System (AIMS: Animal Infectious Disease Data Management System) has been already implemented for this purpose and the service is available to the general public. But this system does not provide geospatial information and does not provide support for decision making and does not provide multi-dimensional information. In this study, an open source-based SOLAP (Spatial On-Line Analytical Processing) technology is applied to enable many diverse forms of data analysis from many aspects to support decision making. The SOLAP system was designed to integrate geospatial information and the analysis of information has been largely divided into map-based analysis and table-based analysis.

• The Journal of Society for e-Business Studies
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• v.16 no.4
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• pp.283-299
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• 2011

In this paper, we draw upon Task-Technology Fit theory to investigate the fit attributes which impacted on customer preference over three virtual shopping channels which included TV home shopping, Internet shopping, and broadband applications, i.e. IPTV. The fit attributes also reflected the product category contingency, which is classified based on the degree of quality assessing difficulty on the web, such as quasi-commodity, look and feel goods, and look and feel with variable quality goods. Using the collected survey data, we employed stepwise regression analysis to validate the fit attributes in the context of performing virtual shopping task via those three distinctive media technologies. Furthermore, through ANOVA test with Duncan statistics, we reported comparative intensity of the valid fit attributes across the product categories and distinct media technologies. The results validated four critical fit attributes and significant distinctions among product categories and three virtual shopping channels. The findings provide practical insights in distribution channel design exploiting digital convergence technologies.

• Journal of Environmental Health Sciences
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• v.45 no.6
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• pp.613-621
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• 2019

Objectives: This study was performed to examine the relationship between health behaviors, living environment, and asthma in adolescents in Korea. Methods: Information on adolescents' characteristics, including demographic factors, health behaviors, and doctor's diagnosis of asthma was obtained from the Korean Youth Risk Behavior Web-based Survey (2015). In total, 68,043 middle and high school students participated. Environmental characteristics, including city park area and outdoor PM₁₀ concentrations in 2015 were obtained from the Korean Statistical Information Service. The adolescents' and environmental characteristics were merged by local information. Multiple logistic regression models were used to investigate the risk factors affecting asthma in adolescents. Results: The prevalence of asthma in adolescents in 2015 was 8.8%. In the multiple logistic regression analysis, adolescents who were male, attended middle school, suffered obesity, experienced tobacco smoking, had physical activity levels of 2 to 4 days, had higher stress levels, and lived in areas with outdoor PM₁₀ concentrations more than 47 ㎍/㎥ were more likely to have asthma, while adolescents who had middle levels of family economic status were less likely to do so. Conclusions: The fact that PM₁₀ concentration can affect asthma is an important point in this study. Risk factors identified in this study could be used as basic data for the prevention and management of asthma in Korea.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.541-544
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• 2015

Through the data communication services in the mobile field in the past of a voice call center (SMS, E-Mail, web surfing, etc.), it has evolved as a "service of smartphone-based" life convenience. According to the latest world book publishing market statistics, the while increasing the proportion of e-books, the proportion of this paper are commercially being reduced. Paper this many e-books in the development of, but active communication in this paper By fusing an NFC-based mobile environment that provides a function to complement the disadvantage of electronic books has, it can give to meet the matters required in more diverse applications. Therefore, in this paper, in order to design and implement an NFC-based mobile phonic fairy book application of, and the efficiency and maintenance of the development through a way to save on rather than storing the information of the management target device server We have implemented a NFC-based mobile education phonic fairy book application that takes into account.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.11
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• pp.7321-7328
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• 2015

This study aimed to identify the difference and relation of eating and mental-psychological state according to the level of cigarette consumption in adolescents and to provide the basic data for the effective smoking cessation program. Data were obtained from the Ninth Korea Youth Risk Behavior Web-based Survey (2013 KYRBS). SPSS 18.0 was used to analyzed with descriptive statistics, ${\chi}^2$-test and Pearson's correlation coefficient. The results showed eating and mental-psychological state was a significant difference according to the level of cigarette consumption. Smoking amount were negative related to eating(r=-.154, p<.01) and there were positive related to mental-psychological state(r=.122, p<.01). There is negative correlation between eating and mental-psychological health(r=-.165,p<.01). Therefore, it is necessary to include eating and mental-psychological health to develop smoking cessation program for adolescents.

• Proceedings of the Korea Contents Association Conference
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• 2008.05a
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• pp.888-891
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• 2008

Collaborative Digital Reference Service(CDRS) that answer the users' questions through web has provided in Korea since 2004. CDRS has been revitalized in the developed countries, but not in Korea. This study analyzed the current status of CDRS, extracted the problems and limitations based on the analysis, and made the suggestions for improving CDRS in Korea to intensify the user satisfaction. The study analyzed the Korea's one and only CDRS service provided by Korea Institute of Science and Technology Information from 2004 to 2007. This study indicated the current trends of usages and services by analyzing the 4-years statistics, objectified the current situation, and suggested the improving plan for the services.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.146-147
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• 2017

Big data analysis is a technique for effectively analyzing unstructured data such as the Internet, social network services, web documents generated in the mobile environment, e-mail, and social data, as well as well formed structured data in a database. The most big data analysis techniques are data mining, machine learning, natural language processing, and pattern recognition, which were used in existing statistics and computer science. Global research institutes have identified analysis of big data as the most noteworthy new technology since 2011. Therefore, companies in most industries are making efforts to create new value through the application of big data. In this study, we analyzed using the Social Matrics which a big data analysis tool of Daum communications. We analyzed public perceptions of "Internet of things" keyword, one month as of october 8, 2017. The results of the big data analysis are as follows. First, the 1st related search keyword of the keyword of the "Internet of things" has been found to be technology (995). This study suggests theoretical implications based on the results.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.6
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• pp.289-294
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• 2016

In recent times, as most people develop keen interest in health management, the importance of cultivating dietary habits to prevent various chronic diseases is emphasized. Subsequently, dietary management systems using a variety of mobile and web application interfaces have emerged. However, these systems are difficult to apply in real world and also do not provide personalized information reflective of the user's situation. Hence it is necessary to develop a personalized dietary management and recommendation method that considers user's body state information, food analysis and other essential statistics. In this paper, we analyze nutrition using self-organizing map (SOM) and prepare data about nutrition using clustering. We provide a substitute food recommendation method and also give feedback about the food that user wants to eat based on personalized criteria. The experiment results show that the distance between input food and recommended food of the proposed method is short compared to the recommended food results using general methods and proved that nutritional similar food is recommended.