• Industry Promotion Research
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• v.2 no.2
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• pp.31-44
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• 2017

This study is to investigate the relationship between the communication type recognized by members of organization and the learning transfer climate in the organization, and when it comes to the type of communications within organization set as independent variable, four variables such as communication with supervisor, media quality communication, and organizational outlook communication were proposed and regarding learning transfer climate which is a dependent variable, four sub-parameters such as supervisor support, colleague support, transfer opportunity and organizational compensation recognition were selected. 116 copies of the statistical data excluding statistically insignificant surveys were used for 150 participants who participated in the 2015 core competency curriculum for SMEs and 3 months have passed, in order to achieve this study's objective. Meanwhile, the research hypothesis was verified with the collected data through frequency analysis, factor analysis, reliability verification, technical statistical analysis, and simple and multiple regression analysis by using the statistical package program of SPSS 20.0. Results of this study have shown that firstly, communication with supervisor, media quality communication, and organizational outlook communication all showed a positive (+) significant influence on the superior support in the influence relationship between communication type in organization and supervisor support which is learning transfer climate. Secondly, communication type in organization doesn't appear to affect colleague support of learning transfer climate. Thirdly, communication with supervisor, media quality communication, and organizational outlook except for communication with colleagues have shown a positive (+) influence on transfer opportunity in the influence relationship between communication type in organization and transfer opportunity of learning transfer climate. Lastly, communication with supervisor and communication on organizational outlook showed positive(+) influence in the influence relationship between communication type in organization and organizational compensation recognition of learning transfer climate.

• The Korean Journal of Applied Statistics
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• v.34 no.5
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• pp.745-760
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• 2021

Prediction of a stock price has been a subject of interest for a long time in financial markets, and thus, many studies have been conducted in various directions. As the efficient market hypothesis introduced in the 1970s acquired supports, it came to be the majority opinion that it was impossible to predict stock prices. However, recent advances in predictive models have led to new attempts to predict the future prices. Here, we summarize past studies on the price prediction by evaluation measures, and predict the direction of stock prices of Samsung Electronics, LG Chem, and NAVER by applying various machine learning models. In addition to widely used technical indicator variables, accounting indicators such as Price Earning Ratio and Price Book-value Ratio and outputs of the hidden Markov Model are used as predictors. From the results of our analysis, we conclude that no models show significantly better accuracy and it is not possible to predict the direction of stock prices with models used. Considering that the models with extra predictors show relatively high test accuracy, we may expect the possibility of a meaningful improvement in prediction accuracy if proper variables that reflect the opinions and sentiments of investors would be utilized.

• Journal of the Korean Applied Science and Technology
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• v.36 no.4
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• pp.1224-1234
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• 2019

This study examines the relationship between service quality, satisfaction and customer loyalty of children's pool. The population distributed a questionnaire to a sample of 300 subjects, and a total of 297 questionnaires were used for data analysis, excluding 3 questionnaires that were determined to be unsatisfactory among the collected questionnaires. In this study, frequency analysis, reliability analysis, exploratory factor analysis, correlation analysis, multiple regression analysis, and simple regression analysis were performed using PASW 21.0. In this study, the significance level of all statistics was set to .05 and the following conclusions were drawn. First, facilities, programs, costs, human resources, and trust in the service quality of children's pools were found to affect satisfaction. Second, the cost, personnel nursery, and trust of the children's pool service quality were found to affect customer loyalty. Third, satisfaction with the service quality of the children's pool affects customer loyalty.

• Journal of Convergence for Information Technology
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• v.8 no.1
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• pp.123-130
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• 2018

The subjects of this study were municipal citizens of Gyeongsangbuk-do Province and selected 250 members of the sports clubs as members. The sampling method for the data was used with simple ramdom sampling method, self-administration method. After questionnaire was distributed and retrieved, a total of 200 questionnaires were analyzed except for 50 items which were judged to be lack of credibility (double entry, no entry, insufficient data). For the data analysis, frequency analysis, ${\chi}^2$, factor analysis, reliability analysis, and one-way ANOVA were conducted in this study. First, there was no significant difference in life satisfaction among the participants. However, there was a significant difference in leisure satisfaction according to age. Second, there was a statistically significant difference in the life satisfaction of the athletes according to educational background, and there was a statistically significant difference in leisure satisfaction according to educational background.

• KIISE Transactions on Computing Practices
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• v.23 no.1
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• pp.37-44
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• 2017

Games of the AOS genre are classified as an e-sport rather than a recreational computer game. The involved statistical analyses such as game playing patterns and the season's characters gain importance due to the expertise-requiring nature of sports. In this study, the strategic analysis of computer games was conducted by using data mining techniques on League of Legend, a representative AOS game. We designed and tested a winning forecast model using winning percentage prediction techniques such as logistic regression analysis, discriminant analysis, and artificial neural networks. The game data analysis results were represented by a probabilistic graph and used in the visualization tool for game play. Experimental results of the winning forecast model showed a high classification rate of 95% on average with potential for use in establishing various strategies for game play with the visualization tool.

• Journal of Korean Society of Transportation
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• v.20 no.7
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• pp.5-13
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• 2002

고도의 산업화성장에 따라 도시의 기능이 지역간의 완전분리가 아닌 경제적 사회적 상호 연관성이 점점 증가하고 그 내용도 복잡하고 다양해짐에 따라 이에 대한 체계적인 분석이 필요하게 되었으며, 그에 대한 연구 또한 활발히 진행되고 있다. 그러나 기존에 연구에서 제시하고 있는 각 지역단위별로 취업자수에 대한 고용자수 비율 또는 출근통행의 유출량에 대한 유입량 비율 등의 단순지표를 이용한 지역간의 경제적 의존성을 설명하는 데는 한계가 있다고 할 수 있다. 따라서 본 연구는 지역간의 경제적 연관관계 즉 경제적 의존성을 복합적이고 표준화 할 수 있는 계량치로 추정하기 위해 두 변수 집합간의 연관성을 추정하는데 매우 유용한 분석기법인 정준상관분석 기법을 이용하여 추정하고자 하였다. 이에 수도권 72개존의 출근통행자료을 이용하여 지역간의 경제적 의존성을 측정하였으며, 각 존들로 구성된 지역간의 정준상관계수 및 각 존들의 정준가 중계수를 통해 통계적으로 정산되어진 표준화된 계수를 산출하였다. 그 결과 대존의 경우 경기도와 인천시는 각각 0.9753. 0.2968 정도의 서울에 대한 경제적 의존정도를 보이는 것으로 나타나 서울에 대한 경기도의 경제적 의존성이 높은 것으로 나타났으며, 산출된 정준가중계수를 살펴보면 분당구와 서울시의 중구는 서울에 대한 경기도의 경제적 의존성에 가장 높은 영향을 미친 것으로 나타났으며, 또한 중존에 해당되는 인천의 3개 권역, 경기의 16개 권역의 서울 5개 권역에 대한 경제적 의존성도 분석되었다.

• Journal of Convergence for Information Technology
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• v.8 no.4
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• pp.163-171
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• 2018

The study on the satisfaction of leisure sports and the leisure sports. The subjects of the study were selected and recruited 250 members belonging to each community association as the population of the sports club members. The data sampling method was a simple random sampling method based on the self-administration method and was collected after the questionnaire was prepared. A total of 200 questionnaires were analyzed, except for 50 cases in which the reliability of the questionnaire was doubtful. Factor analysis, ${\chi}^2$, factor analysis, reliability analysis, and one - way ANOVA were used for the data analysis. First, there was a significant difference in leisure satisfaction among the participants in the age group. Second, there was a statistically significant difference in leisure satisfaction among the different education levels of participants. Third, there was no significant difference in leisure satisfaction according to monthly average salary.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.6
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• pp.1137-1144
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• 2020

This paper aims to provide strategic suggestions by analyzing technology trends related to big data, IoT, and artificial intelligence. To this end, analysis was performed using the 2018 national R&D information, and major basic analysis and language network analysis were performed. As a result of the analysis, research and development related to big data, IoT, and artificial intelligence are being conducted by focusing on the basic and development stages, and it was found that universities and SMEs have a high proportion. In addition, as a result of the language network analysis, it is judged that the related fields are mainly research for use in the smart farm and healthcare fields. Based on these research results, first, big data is essential to use artificial intelligence, and personal identification research should be conducted more actively. Second, they argued that full-cycle support is needed for technology commercialization, not simple R&D activities, and the need to expand application fields.

• Fire Science and Engineering
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• v.32 no.5
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• pp.112-121
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• 2018

In the present study, a group of subjects consisting of "Fire Professional Engineers" was selected to examine the effects of life safety awareness and safety behaviors of the subjects on life safety through an analyses of the descriptive statistics, factors, reliability, and correlation; simple regression and three-stage regression analyses on mediation were also carried out based on the hypotheses developed. The results showed that the degree of safety behavior increased by 72.1% in accordance with the increased safety awareness of fire professional engineers; the life safety was also increased by 61.5% and 64.5% by the increases in safety awareness and safety behavior of fire professional engineers, respectively. In addition, the safety behaviors demonstrated a partial mediatory effect in the relationship between safety awareness and life safety. All hypotheses (H1, H2, H3, H4), established for the present study, were accepted based on statistical verifications that justified an amendment of the Acts pertinent to firefighting service focusing on life safety; the data are expected to be exploited to reflect significance of life safety.

• Journal of the Korean Society for information Management
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• v.26 no.4
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• pp.169-186
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• 2009

This paper examined what factors affect the immediacy index showing the average number of times an article is cited in the year it is published. Not only Seventy-one immediacy indexes for subject field biology on JCR 2008 edition were gathered, but also many characteristics of scholarly journals that may influence the indexes directly or indirectly were aggregated. Simple correlation coefficient analysis, factor analysis, and regression analysis were performed on the paper. Therefore factors such as physical volume, availability, forthcoming issue, age and language explaining 67.64% of total variance were identified. After regression analysis using these factors as independent variables, the results were statistically significant. The results showed physical volumes, the total pages of publication, have an influence upon immediacy indexes obviously, although it is expected that journal reputations may affect immediacy indexes. Generally open access journals had high immediacy indexes. High ranked journals on immediacy index were apt to be issued frequently, uploaded very often on PMC, and published in major countries including United States and United Kingdom.