• Journal of Digital Contents Society
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• v.18 no.8
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• pp.1543-1550
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• 2017

Previous research on smartphone has been focused on personal performance, accessibility, and information gaps in information system quality. In order to analyze the relationship between the use of smartphone information and personal characteristics, this study conducted a survey of 300 tourists at Jeju Airport, by using three variables of self-efficacy, 'impulsiveness and demographic variables (age, sex, education level, etc.) of smartphone use with personal characteristics. In conclusion, self-efficacy and impulsiveness seem to be positively related to the use of smartphone because it seems to be a living environment in which the desired information can be acquired within a desired time. In addition, there seems to be a difference between a mobile native environment in which online and offline boundaries are always connected and an environment in which 40 to 50 digital literacies are connected. This can be interpreted as a result of additional analysis.

• The Journal of the Convergence on Culture Technology
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• v.6 no.4
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• pp.157-164
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• 2020

In 2020, due to COVID-19, all universities in Korea were conducting non-face-to-face classes. The purpose of this study is to study what factors affect academic achievement under such non-face-to-face instruction, especially for engineering students where practical training is important. Validity of the statistical hypothesis defined in this study by applying a structural equation model using questionnaires about academic achievement for engineering students at University D for this study. In addition, I would like to suggest what factors should be considered in non-face-to-face classes, especially in engineering colleges. As a result of the study, it was found that students' Q&A, feedback and e-learning system had a direct influence on academic achievement. In addition, it was confirmed that they had an indirect influence on academic achievement through the parameters of theory class and practical class.

• Journal of Life Science
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• v.21 no.12
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• pp.1784-1788
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• 2011

The typical miRNA and its nearby host gene are co-expressed by sharing the same promoter. We assumed that miR-7b and its host gene FICT might use an identical promoter for their brain specific gene expression. Sequence comparison of the genomic DNA of mouse miR-7b, human miR-7-3 and their host genes by using the bioinformatic tools revealed high sequence homology and several putative transcription factor-binding sites on the promoter region. In order to probe the hypothesis we used a luciferase vector system into which we cloned the 5' upstream conserved region of miR-7b and FICT. The putative promoter region showed decreased luciferase activity, suggesting that the 5' upstream of miR-7b and FICT contain a negative regulator for gene expression.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.30 no.4
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• pp.235-254
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• 2019

According to the development of information technology, the paradigm of the archives is shifting from preservation management of past records to use-oriented services. In this regard, this study is conducted an empirical study on the effect of internal marketing factors of university archives on the customer orientation of employees in order to improve organizational satisfaction for users of records information service. Based on the previous research, the delegation of authority, internal communication, management support, and training are established as factors of internal marketing, and the parameters for this are job satisfaction, organizational commitment, customer orientation as dependent variables, and We set up hypothesis between research variables and attempted an analysis through statistical system. In summary, each element of internal marketing showed significant results on job satisfaction and organizational commitment, and management support was most closely related to job satisfaction, organizational commitment, and customer orientation of university archive staff.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.12
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• pp.5594-5600
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• 2011

Even though many studies have showed that competence is positively related to organizational performance, few studies have attempted to find out the process of competency - performance. This study focuses on the organizational factors to explore their effect on the competence of customer relationship. Based on the data collected by KRIVET and the Ministry of employment and labor, strategic role of HR department and information systems are examined. As well human resource competency is investigated as a mediating variable. This study used surveys targeting department managers and executive members in firms and sample size was 1086 after cleaning the dataset by deleting all the cases with many missing values. The findings show that strategic role of HR department and information system has an influence on human resource competency, significantly. In addition, the human resource competency affect customer relationship competency, positively. Implications and directions for future research are discussed.

• Journal of Internet Computing and Services
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• v.5 no.2
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• pp.97-105
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• 2004

The reason that an intelligent agent cannot understand the representation of its own perception or activity is caused by the traditional syntactic approach that translates a semantic feature into a simulated string, To implement an autonomously learning intelligent agent, Cohen introduces a experimentally semantic approach that the system learns a contentful representation of physical schema from physically interacting with environment using its own sensors and effectors. We propose that negation is a meta-level schema that enables an agent to recognize its own physical schema, To improve the planner's efficiency, Graphplan introduces the control rule that manipulates the inconsistency between planning operators, but it cannot cognitively understand negation and suffers from redundancy problem. By introducing a negative function not, IPP solves the problem, but its approach is still syntactic and is inefficient in terms of time and space. In this paper, we propose that, to represent a negative fact, a positive atom, which is called opposite concept, is a very efficient technique for implementing an cognitive agent, and demonstrate some empirical results supporting the hypothesis.

• Journal of the Korea Society of Computer and Information
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• v.18 no.11
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• pp.213-220
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• 2013

This research paper examined to the influencing factors to adopt national policies of international organization's environment. For this a multivariate regression model has been used to examine cross-national differences in environmental policy adoption. The data analysis was conducted by regression analysis, the indexed point of international environmental agreements were ratified by each nation on the measure of independent variables for a sample of 130 countries in all parts of the world. From analysis results, overall, the regression analysis illustrates that the regression model generally fits our predictions for independent variables. The finding has revealed that external determinants are stronger than internal ones in explaining the level of national environmental policy adoption in relation to international environmental cooperation. Namely, All international environmental organizations, international nongovernmental organizations, and regional multinational institutes proved to function in a positive way in influencing number nations to have a favorable attitude toward international environmental policies. The findings of this study will provide helpful information on how to improve the efficacy of the Korean environmental policy system.

• Journal of Convergence for Information Technology
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• v.11 no.5
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• pp.94-103
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• 2021

This study aims to propose technical trading rules for Bitcoin futures and empirically analyze investment performance. Investment strategies include standard trading rules such as VMA, TRB, FR, MACD, RSI, BB, using Bitcoin futures daily data from December 18, 2017 to March 31, 2021. The trend-following rules showed higher investment performance than the comparative strategy B&H. Compared to KOSPI200 index futures, Bitcoin futures investment performance was higher. In particular, the investment performance has increased significantly in Sortino Ratio, which reflects downside risk. This study can find academic significance in that it is the first attempt to systematically analyze the investment performance of standard technical trading rules of Bitcoin futures. In future research, it is necessary to improve investment performance through the use of deep learning models or machine learning models to predict the price of Bitcoin futures.

• International Area Studies Review
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• v.14 no.3
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• pp.131-154
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• 2010

This study tries to analyze what the most significant factors are in Brazil, where the Korean investing firms have to overcome and adapt to various difficulties, especially in terms of political environment. This main purpose of this research is to test empirically some relations of between the managing strategy of Korean firms and the environment factors of politics in Brazil while this is conducted in two stages. First, the research model is designed by reviewing relevant theories, previous studies, and the current investment conditions in local Brazil. Second, the survey of Korean firms engaged in investment activities in there is done by collecting questionnaires from them. with this survey, the strategic method of multiple regression is used to testing some hypotheses. At the result of Analysis, It is proved there haven been negative affecting political factors of law/regulation system and administrative operation service, and Korean firms have implementing the responding management strategies with reasonable adaptation to risks and human network reinforcement.

• The Journal of the Korea Contents Association
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• v.19 no.7
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• pp.36-46
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• 2019

If stock market is efficient, any well-devised trading rule can't consistently outperform the average stock market returns. This study aims to verify whether the strategy based on bid-ask volume information can beat the stock market. I suggested a day trading strategy using order imbalance indicator and empirically analyzed its profitability with the KOSPI 200 index futures data from 2001 to 2018. Entry rules are as follows: If BSI is over 50%, enter buy order, otherwise enter sell order, assuming that stock price rises after BSI is over 50% and stock price falls after BSI is less than 50%. The empirical results showed that the suggested trading strategy generated very high trading profit, that is, its annual return runs to minimum 71% per annum even after the transaction costs. The profit was generated consistently during 18 years. This study also improved the suggested trading strategy applying the genetic algorithm, which may help the market practitioners who trade the KOSPI 200 index futures.