• Journal of Digital Contents Society
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• v.18 no.3
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• pp.551-558
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• 2017

The growth of blogs has two aspect of providing various information and marketing. This study collected the rankings of blog posts of large portal using OpenAPI and investigated the features of blogs ranked through the exploratory data analysis technique. As a result of the analysis, it was found that the influence of the blogger and the recent creation date of the post were highly influential factors in the top rank. Due to the weakness of these evaluation algorithms, there was a problem of showing the search results which is concentrated to the power blogger's post. In this study, we propose an algorithm that improves the reliability of content by adding the reliability DB information which is verified by the experts and reflects the fairness of the application of the ranking score through the trend index indicating various public interests. Improved algorithms have made it possible to provide more reliable information in the search results of the relevant field and have an effect of making it difficult to manipulate ranking by illegal applications that increase the number of visitors.

• The Korean Journal of Applied Statistics
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• v.28 no.2
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• pp.325-334
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• 2015

Elderly suicide rates tend to be high in Korea. Suicide by the elderly is no longer a personal problem; consequently, further research on risk and regional factors is necessary. Disease mapping in epidemiology estimates spatial patterns for disease risk over a geographical region. In this study, we use a simultaneous conditional autoregressive model for spatial correlations between neighboring areas to estimate standard mortality ratios and mapping. The method is illustrated with cause of death data from 2006 and 2010 to analyze regional patterns of elderly suicide in Korea. By considering spatial correlations, the Bayesian spatial models, mean educational attainment and percentage of the elderly who live alone was the significant regional characteristic for elderly suicide. Gibbs sampling and grid method are used for computation.

• The Korean Journal of Applied Statistics
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• v.28 no.2
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• pp.231-239
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• 2015

A Poisson model is the first choice for counts data. Quasi Poisson or negative binomial models are usually used in cases of over (or under) dispersed data. However, these models might be unsuitable if the data consist of excessive number of zeros (zero inflated data). For zero inflated counts data, Zero Inflated Poisson (ZIP) or Zero Inflated Negative Binomial (ZINB) models are recommended to address the issue. In this paper, we further considered a situation where zero inflated data are spatially correlated. A mixed effect model with random effects that account for spatial autocorrelation is used to fit the data.

• Journal of Korean Ophthalmic Optics Society
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• v.14 no.1
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• pp.81-86
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• 2009

Purpose: We developed the MYSTERY CIRCLE vision training program which was suitable for Korean people. We compared it with the established programs, Block string and Anaglyphs in aspect of functional, sensory, and symptomatical changes of binocular vision. Mehtods: The vision training observation group included 75 clients (male=40, female=35) who had binocular vision disorders without opthalmic diseases or vertical phoria. Results: According to the results, all training methods showed improvement of binocular vision function, sensation and symptoms. But the Block String had low participation, reference rate of subjects and success rate and showed the different degree of improvement depending on individuals. Anaglyphs method showed high participation and improvement. But it had a low degree of success rate and preference rate. Conclusions: MYSTERY CIRCLE method showed the highest participation, reference rate of subjects, success rate, and high degree of improvement. Therefore we suggest that MYSTERY CIRCLE is an effective and alternative method for binocular vision disorder therapy.

• Information Systems Review
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• v.17 no.3
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• pp.183-202
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• 2015

In recent years, various Social Network Service (SNS) is emerging as a new means of communication were enjoying a lot of popularity among consumers. Accordingly, an online word-of-mouth marketing through the SNS is prevalent. At this moment, the majority of companies selects the SNS used as resources of online word-of-mouth marketing on the assumption that the more a SNS is popular (followers or visitors based), the more it has an influence. In addition, the existing studies about the popularity or influence on the SNS were not distinguish them separately. The former researchers used popularity mixed with Influence. Therefore, this study, we have conducted a survey with people in their twentieswho use SNS most to do an empirical analysis of the relationship between popularity and Influence on the SNS. According to the results of this study, it has a weak correlation between popularity and Influence. So, it is necessary to distinguish between popularity and influence.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.20 no.5
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• pp.75-82
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• 2021

The number of traffic accidents is about 230,000, and due to non-recurring congestion and high driving speed, the number of deaths per traffic accident on freeways is more than twice compared to other roads. Currently, traffic information is provided based on nodes and links using the centerline of the road, but it does not provide detailed speed information. Recently, installing sensors for vehicles to monitor obstacles and measure location is becoming common not only for autonomous vehicles but also for ordinary vehicles as well. The analysis using large-capacity location-based data from such sensors enables real time service according to processing speed. This study presents an mapping method for individual vehicle data analysis based on space. The processing speed of large-capacity data was increased by using method which applied a quaternary notation basis partition method that splits into two directions of longitude and latitude respectively. As the space partition was processed, the average speed was similar, but the speed standard deviation gradually decreased, and decrease range became smaller after 9th partition.

• Journal of the Society of Disaster Information
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• v.14 no.4
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• pp.510-518
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• 2018

Purpose: The objective of this research is to analyze the effects of industrial complex sites to manufacturing business of South Korea. Method: This research first investigates previous relative studies for employment factors of industrial complex sites. Second, this research identifies employment decision factors of industrial complex sites by applying the two-stage ordinary least squares method to the Korea Industrial Complex Directory and the census data on establishments published by the Statistics Korea. Third, this research provides findings and policy recommendations based on study results. Results: The number of major companies, production quantity, and diversity of manufacturing have positive impacts to employment of industrial complex. The ratio of foreign workers, the number of universities and colleges, and the fiscal self-reliance ratio are also important to employment of industrial complex. Conclusion: The employment enhancement policy of industrial complex should consider regional characteristics as well as infrastructure of industrial complex.

• Journal of the Korea Convergence Society
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• v.12 no.1
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• pp.361-368
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• 2021

This study was conducted to analyze the effects of smoking and drinking on quality of life in Adults. The content was analyzed for aged 30 years or older using data from the 7th National Health and Nutrition Survey(2017). The total number of subjects of this study was 5,465. Socio-demographic characteristics, health-related variables and EQ-5D index scores were used for the analysis. Statistical analysis was performed using the IBM SPSS ver.23 program. As a result of the analysis, there were statistically significant differences in smoking status, binge drinking, subjective health status and stress perception with quality of life. In the regression after adjusting the control variables, 'the amount of alcohol consumed at once(β=.106)' was statistically significant. However smoking status and binge drinking were not statistically significant. Therefore, it is necessary to develop Convergence drinking intervention program to improve the quality of life in adults.

• Annual Conference of KIPS
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• 2010.11a
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• pp.724-727
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• 2010

지난 몇 년 동안 인터넷을 비롯한 각종 미디어 산업에서 사용자가 직접 제작한 콘텐츠라는 의미를 지닌 UCC(User Created Content)가 주목을 받았다. UCC는 사용자가 직접 이미지, 비디오 등의 형태로 제작한 콘텐츠를 말하는데, 이러한 UCC는 인터넷의 발달과 함께 크게 성장하게 되었으며 이제는 단순한 미디어나 콘텐츠로서가 아닌 하나의 산업으로 인정받기 시작했다. 또한 사용자와의 상호작용성과 체험적 형태를 지닌 상호작용 UCC가 등장함에 따라 이제는 UCC는 우리 생활과 밀접한 연관을 가진다고 할 수 있다. 이에 본 논문에서는 최근 들어 각광을 받고 있는 스마트폰을 활용하여 스마트폰과 상호작용 UCC와의 융합적 접근으로 스마트폰 터치스크린 안에서의 체험형 UCC를 어떻게 제작할 것인지를 알아본다. 기존의 컴퓨터의 모니터를 통해서만 상호작용이 가능하였던 점에서 탈피하여 공간적 제약을 극복하고 누구나 쉽게 이용할 수 있도록 기존 UCC와 새로운 스마트폰 터치스크린의 정보 기술과의 효과적인 융합에 초점을 맞추고자 한다. 그 동안의 UCC 파급효과를 보았듯이 UCC는 남녀노소 누구나 손쉽게 즐길 수 있다. 이러한 UCC가 최근 주목을 받고 있고, 사용자수가 급증하고 있는 터치스크린 기반의 스마트폰을 통해서 다시 한 번 UCC 시장에 활기를 불어넣을 수 있는 방안을 제시한다. 또한 상호작용 UCC를 통해서 기존의 UCC 매체인 모니터를 이용하여 전달하고자 하는 것보다, 스마트폰의 장점과 강력한 특징인 터치스크린을 잘 살려 스마트폰을 통해 보다 효율적으로 전달할 수 있는 방안을 제시한다.

• Journal of the Korean Regional Science Association
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• v.39 no.2
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• pp.19-30
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• 2023

This study analyzed intra-regional disparities by using the concentration index of industrial organization theory. And the range of study is 11 cities in Chungcheongbuk-do province. This study aims to clarify the characteristics of the intra-regional disparities by using concentration ratio(CR) and Herfindahl-Hirschman Index. After the review of previous studies, we intend to study the intra-regional disparities using these two indexes. Target is the bio-health industry that all povinces in South Korea want to develop competitively. In addition the analysis was conducted by dividing the bio-health industry into four detailed fields(pharmaceuticals, medical devices, health functional foods, and cosmetics). These fields are based on the results of the city and county competitiveness-enhancing industry. The research results derived the intra-regional disparities index based on sales, the number of workers, and R&D expenses by detailed field. As a result it was confirmed that the strengths according to the detailed fields differed by region. It can be used as basic data in establishing differentiated industrial development strategies for each region in the future.