• Journal of the Korean Society of Industry Convergence
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• v.23 no.2_2
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• pp.301-306
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• 2020

In this study, analyzed national forest fire statistics by cause, year, region, and damage scale based on the National Fire Data System. as a result, the main cause of forest fires was the most frequent human error. forest fires occurred in areas with high population density. and it was confirmed that the Widest area of forest damage was Gang-Won province, which is rich in forestry resources. by season, it occurred a lot in spring because of the warm temperature and strong wind and low humidity. such disasters directly damage forest facilities such as house and cultural properties as well as destruction of natural resources. therefore in this study, made a suggestion plan for prevention from forest fire with forest fire prevention comprehensive plan of MFOA.

• Journal of Korea Multimedia Society
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• v.15 no.6
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• pp.701-710
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• 2012

Retinitis Pigmentosa(RP) is a common hereditary disease. While they have been normally living, those who have this symptom feel frustration and pain by the damage of visual acuity. At the national level, the loss of the economic activity due to the reduction of economically active population will be also greater. There is an urgent need for the base study that can provide the clinical prognosis information of RP disease. In this study, we suggest that it is possible to predict prognosis through the pattern classification of RP data. Statistical processing results through statistical software like SPSS(Statistical Package for the Social Service) were mainly applied for the conventional study in data analysis. However, machine learning and automatic pattern classification was applied to this study. SVM(Support Vector Machine) and other various pattern classifiers were used for it. The proposed method confirmed the possibility of prognostic prediction based on the result of automatically classified RP data by SVM classifier.

• The Journal of the Korea Contents Association
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• v.18 no.3
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• pp.124-137
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• 2018

The OTT service in Korea is not as popular as that in the U. S. This study argues that one of the major reasons of poor performance of OTT in Korea is that the OTT service providers did not acquire attracting contents, thus failing to appeal to Korean users. The other reason is Korean users are not willing to use OTT services because of high telecommunications fees to use OTT services. That is why most OTT users are using OTT services in WiFi zones, such as house, workplace, or school. This study investigated the popular OTT contents in recent three years, and how these popular OTT contents are provided in OTT service platforms, and how these contents are used in different places. The results of this study may provide several implications for OTT service providers' strategies in the future, and propose policy implications for the development of OTT services in Korea.

• Journal of the Korean Data and Information Science Society
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• v.28 no.3
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• pp.525-532
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• 2017

Recently, there shows a trend in Korea that the rate of the population entering into aging is the most rapidly increasing among the OECD countries. Consequently, This study, therefore, aims at analyzing the forms of portfolio establishment by group, the factors affecting the old age preparation, and the presence of middle-aged households' preparation for the old ages in order to forestall social problems like the poverty ration of elderly that have been caused by the rapidly aging society. The result shows that the portfolio for the old age preparation can be expanded if a combination product of finance and real estate is developed as a means of old age preparation. Upon the results of the study above, it can be seen that the old age preparations differ according to not only the demographic elements, but also the extent to how much resources one holds. Especially, the various factors affecting the holding resources vary householder by household depending on whether they prepare for the old ages or not.

• Journal of Nutrition and Health
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• v.41 no.8
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• pp.860-869
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• 2008

The purposes of this study were to investigate use patterns of nutrition information service of 50-and-older adults and analyze the differences in use patterns of nutrition information service according to their socio-demographic variables. The survey was conducted with 500 adults aged 50-and-over living in Seoul between March 28 and April 10, 2007. A total of 401 questionnaires were used for analysis (use rate 80.2%) and the statistical data analyses were completed using SPSS Win (ver 12.0). The main results of this study were as follows. First, most respondents (73.3%) realized the need for nutrition counseling or education. However, 65.3% of respondents have little experience in nutrition counseling or education. Second, the most preferred methods of nutrition counseling or education were field trips (27.7%), counseling in hospitals/public health centers (23.4%), cooking classes (23.2%). And the most often cited sources of nutrition information were TV/radio (66.6%) and newspapers/magazines/books (41.6%). Third, sociodemographic variables such as sex, age, education level, occupations were significantly related to methods of nutrition counseling or education. And variables such as age, education level, occupations were significantly related to often cited sources of nutrition information. Also sex, age, education level, occupations were significantly related to needs for nutrirtion information service.

• Informatization Policy
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• v.17 no.1
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• pp.78-101
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• 2010

Unlike knowledge sharing or knowledge transfer, knowledge protection has received little attention in the literature. Knowledge protection play a very important role in keeping organization competitive. This study explores the differences in knowledge protection between public and private organizations by T-test and regression analysis. The results of this study shows that the level of knowledge protection in public organizations is lower than that in private organizations. There is even larger difference in the level of access to key knowledge from outside between the two sectors. Such difference can be explained by the unique characteristics of public sector organizations. Understanding why the level of knowledge protection differs between the public and private sector is very important. This study presents lessons and implications for management leadership.

• Journal of the Korean Data and Information Science Society
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• v.26 no.6
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• pp.1199-1206
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• 2015

into aging is the most rapidly increasing among the OECD countries. Consequently, this study aims at analyzing the forms of portfolio establishment by group, the factors affecting the old age preparation, and the presence of middle-aged households' preparation for the old ages in order to forestall social problems like the poverty ration of elderly that have been caused by the rapidly aging society. The result shows that the portfolio for the old age preparation can be expanded if a combination product of finance and real estate is developed as a means of old age preparation. Upon the results of the study above, it can be seen that the old age preparations differ according to not only the demographic elements, but also the extent to how much resources one holds. Especially, the various factors affecting the holding resources vary householder by household depending on whether they prepare for the old ages or not.

• Journal of the Korean Data and Information Science Society
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• v.21 no.6
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• pp.1081-1090
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• 2010

Most nations including Korean government make a great endeavor to realize low-carbon and green-growth world. We also work hard to expand bicycle facilities and bicycle road in order to increase bicycle transportation rate. Nowadays number of cyclists is increasing but fortunately, bicycle accidents also increase rapidly. Most data of bicycle accidents published by National Police Agency annually are represented as frequencies in two dimensional contingency tables. In this work, risk rates and characteristics of bicycle accidents are analyzed by using concepts of the probability and conditional probability. Especially with numbers of estimated cyclists and registered cars, risk rates of various kinds of bicycle accidents are obtained. Under the assumption of the conditional independence, probability of bicycle accident occurred at realistic situations could be estimated. Furthermore we discuss to reduce bicycle accidents with these results obtained in this work.

• The Journal of Society for e-Business Studies
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• v.15 no.1
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• pp.103-118
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• 2010

In the past, the existing Internet service was used to simply gather information and show, with the development of Web 2.0 where everyone is allowed to access and share information. Since the development of the concept and the technology of the Web 2.0, the users of Social Network Service (SNS) such as Facebook, MySpace, Youtube, Twitter, etc., have been increasing. In this study, we researched into the Social Capital formed by using SNS based on "Social Capital Theory." We constructed the survey to obtain the demographical information of the users, motive of using the SNS and the evaluation of the On-line Social Capital. The survey was aimed for the Korean and the Chinese. In addition, a multi-regression analysis was performed to explain the relationship between the function of Social Network Service and the Online Social Capital. The result of this study, presents a relationship between the Online Social Capital form and function of Social Network Service users. Therefore, the information obtained in this study can be applied when developing the service.

• Journal of the Korean Geographical Society
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• v.41 no.3 s.114
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• pp.319-330
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• 2006

The objective of this research is to achieve an objectivity of site decision after extracting site decision factors on a large-scale discount store(LSDS) and utilize any hidden information using the association rules mining through huge database. To catch this objective, we collect a census, economic, and environmental dataset related with locating of LSDS. And then, we construct a spatial data on the research area. These data is used for the extraction of a spatial association rules. To verify whether the extracted rules are suitability or not, we use the sales of some LSDS. As the result of test, the more sales, the more factors of the extracted rules relate with the sales it coincides. Consequently, the spatial association rules mining is efficient method which support the ideal site decision of LSDS.