• Journal of KIISE
• /
• v.42 no.9
• /
• pp.1147-1161
• /
• 2015

The ISO/IEC 11179 Metadata registry (MDR) is an international standard that was developed to register and share metadata. ISO/IEC 11179 represents an MDR as a metamodel that is an object model. However, it is difficult to develop an MDR based on ISO/IEC 11179 because the standard has no clear criteria to transform the metamodel into a database. In this paper, we suggest the design of an MDR data model that is based on object-relational transformation methodology (ORTM) for the MDR implementation. Hence, we classify the transformation methods of ORTM according to the corresponding relationships. After classification, we propose modeling rules by defining the standard use of the transformation. This paper builds the relational database tables as an implementation result of an MDR data model. Through experiments and evaluation, we verify the proposed modeling rules and evaluate the suitability of the created table structures. As the result, the proposed method shows that the table structures preserve classes and relationships of the standard metamodel well.

• Journal of the Korea Society of Computer and Information
• /
• v.26 no.5
• /
• pp.31-38
• /
• 2021

This study empirically investigated the user's experience with based on the Technology Acceptance Model. According to the frequency analysis results, the usability for learning was evaluated relatively higher than that for appreciation from the perspective of perceived usefulness and the technical factors such as graphics and modeling raised the issue for the quality improvement. According to the results of the correlation analysis, the usability for learning correlated with the degree of satisfaction. In addition, all detailed factors of perceived ease of use positively influenced on the degree of satisfaction and the impact of the environmental factor on the degree of satisfaction was greatest. The degree of satisfaction with the VR application significantly correlated with the degree of immersion and behavioral intention to the VR application. Therefore, this study proved the suitability for the Technology Acceptance Model as a tool for evaluating a VR application.

• The Korean Journal of Archival Studies
• /
• no.31
• /
• pp.139-161
• /
• 2012

Donald K. Sebera model can quantitatively compare the preserving environment by calculating the preserving valuation index with changing only the temperature and humidity. In this study, Donald K. Sebera model was used in order to compare and evaluate the preserving valuation index on the best condition and the worst condition in the temperature and humidity range of public records management act. As the results, the preserving valuation index in the best conditions was larger 2.47 times than the worst conditions within the preserving environment permitted in public records management act. Also, the influence of the humidity on the preserving valuation index of a paper archives as decreasing the activation energy for the hydrolysis reaction was larger rather than temperature. Thus the preserving valuation index can easily evaluate the suitability of the temperature and humidity conditions for preserving a archives. Therefore it can be used as useful tool for preservation of archives on change of the temperature and humidity.

• Journal of Korea Port Economic Association
• /
• v.38 no.2
• /
• pp.31-47
• /
• 2022

The purpose of this study is to develop a reliable tool that can classify and measure detailed indicators related to the performance of ESG implementation in the country and verify their applicability. Based on World Bank's data as input data, 67 types of ESG-related detailed indicators measured in a total of 239 countries were tested to derive an optimal model that could group detailed indicators into three categories: environment, society, and governance. As a result of the analysis, it was confirmed that a total of 10 detailed indicators had a statistically significant relationship with the country's ESG performance. In addition, the detailed indicators showed a positive correlation with the primary latent variables E, S, and G, and showed a high overall index in the suitability of the model to secure the validity and reliability of variable input. As a result, this study confirmed that several detailed performance indicators constituting ESG can be classified as latent variables, and it can be said that clear criteria for the selection method and input validity of variables were presented.

• Food Science of Animal Resources
• /
• v.42 no.2
• /
• pp.280-294
• /
• 2022

This study aimed to evaluate the effectiveness of propolis extract as a natural preservative for livestock products in term of chemical and microbiological characteristics by meta-analysis. The stages carried out in this study were identification, selection, checking suitability, and the resulting selected articles were used in the meta-analysis. The selection results obtained a total of 22 selected journal articles consisting of 9 articles for analysis of the antimicrobial activity of propolis extract and 13 articles for analysis of the chemical and mirobiological characteristics of livestock products. The articles were obtained from electronic databases, namely Science Direct and Google Scholar. The model used in this study is the random-effect model involving two groups, control and experimental. Heterogeneity and effect size values were carried out in this study using Hedge's obtained through openMEE software. Forest plot tests and data validation on publication bias was obtained using Kendall's test throught JASP 0.14.1 software. The results showed that there is a significant relationship between propolis extract with the results of the antimicrobial activity (p<0.05). In addition, the results of the application of propolis extract on the livestock products for the test microbes and the value of thiobarbituric acid reactive substances (TBARs) showed significant results (p<0.05). Conclusion based on the random-effect model on the effectiveness of antimicrobial activity of propolis extract and their apllication as a natural preservative of the chemical and microbiological characteristics of livestock products is valid by Kendall's test (p>0.05). Propolis in this case effectively used as natural preservatives in livestock products.

• The Journal of the Convergence on Culture Technology
• /
• v.10 no.3
• /
• pp.933-942
• /
• 2024

With the development of AI, Chat GPT, an artificial intelligence chatbot that appeared in 2022, is rapidly spreading to a wide range of people and expanding its usefulness. This study was conducted to examine college students' intention to continue using Chat GPT using a technology acceptance model. As a result of the study, all of Chat GPT's features had a positive effect on college students' perceived usefulness and perceived ease of use. However, among the features of Chat GPT, system quality and relative advantages did not directly affect the intention to continue using it. However, it was confirmed that it had an effect when perceived usefulness and perceived ease of use were mediated. The perceived usefulness and perceived ease of Chat GPT were verified to have a positive effect on the intention to continue using it.

• The Journal of Information Systems
• /
• v.26 no.3
• /
• pp.171-185
• /
• 2017

Purpose Recently, there has been an increase in attempts to analyze social phenomena, consumption trends, and consumption behavior through a vast amount of customer data such as web search traffic information and social buzz information in various fields such as flu prediction and real estate price prediction. Internet portal service providers such as google and naver are disclosing web search traffic information of online users as services such as google trends and naver trends. Academic and industry are paying attention to research on information search behavior and utilization of online users based on the web search traffic information. Although there are many studies predicting social phenomena, consumption trends, political polls, etc. based on web search traffic information, it is hard to find the research to explain and predict tourism demand and establish tourism policy using it. In this study, we try to use web search traffic information to explain the tourism demand for major cities in Gangwon-do, the representative tourist area in Korea, and to develop a nowcasting model for the demand. Design/methodology/approach In the first step, the literature review on travel demand and web search traffic was conducted in parallel in two directions. In the second stage, we conducted a qualitative research to confirm the information retrieval behavior of the traveler. In the next step, we extracted the representative tourist cities of Gangwon-do and confirmed which keywords were used for the search. In the fourth step, we collected tourist demand data to be used as a dependent variable and collected web search traffic information of each keyword to be used as an independent variable. In the fifth step, we set up a time series benchmark model, and added the web search traffic information to this model to confirm whether the prediction model improved. In the last stage, we analyze the prediction models that are finally selected as optimal and confirm whether the influence of the keywords on the prediction of travel demand. Findings This study has developed a tourism demand forecasting model of Gangwon-do, a representative tourist destination in Korea, by expanding and applying web search traffic information to tourism demand forecasting. We compared the existing time series model with the benchmarking model and confirmed the superiority of the proposed model. In addition, this study also confirms that web search traffic information has a positive correlation with travel demand and precedes it by one or two months, thereby asserting its suitability as a prediction model. Furthermore, by deriving search keywords that have a significant effect on tourism demand forecast for each city, representative characteristics of each region can be selected.

• Environmental and Resource Economics Review
• /
• v.23 no.1
• /
• pp.133-156
• /
• 2014

In general, quantity results of empirical analysis using model shows how much big performance policy has. Therefore this is useful to evaluate a policy. This paper composed macro economic model based on Bank of Korea's quarterly model and annual model, that estimates performance of overseas oil and gas development project to Korean economy in aspect of quantity. In this model, we estimated each effect in real GDP, current account, unemployment rate, CPI and exchange rate carried by recovered amount from overseas oil and gas development project. The recovered amount was evaluated in currency coming from oil and gas acquired from overseas oil and gas development project. Macro economic model of this paper benchmarked macro model composed by Bank of Korea(1997, 2004, 2012). We reviewed model robustness using statistical suitability of each equation and historical simulation for from 1994 to 2011. The recovered amount of overseas oil and gas development project has positive effect in every macro economic index except CPI and exchange rate. Economic effect to macro economic index become bigger with time because the recovered amount of overseas oil and gas development project are increasing until now. Although empirical results of economic effects in every year from the recovered amount of overseas oil and gas development project are different, as of 2011, empirical results showed that the recovered amount of overseas oil and gas development project increase 2.226% and 0.401% in current account and real GDP respectively. And it also decrease 0.489%p in unemployment rate. Exchange rate to US dollars also decrease in amount of 0.379%.

• The Journal of Fisheries Business Administration
• /
• v.49 no.3
• /
• pp.85-99
• /
• 2018

This study is to compare and evaluate the estimating method of WTP(willingness to pay) for the valuation of oceans and fisheries resources with non-market goods characteristics using contingent valuation method. In general, when estimating parameters of the WTP function, we should take into account the assumption of probability distribution, inclusion of covariates, method of inducement of payment, and the treatment of 0 payment intention and resistance responses. This study utilizes survey data that was used to estimate the value of fisheries resource protection zones, with a total of 1,200 samples. The main results of this study are summarized as follows: First, the final willness to pay amount is estimated at a statistical significance of less than 1 percent, and the distribution of the final willness to pay amount is from \6,926 of the double bounded dichotomous model to \10,721 of the spike model. Second, the willness to pay amount based on assumptions about the normal and logistic probability distributions are estimated to be \9,429 and \9,370 respectively, so there was no significant difference. Third, the willness to pay amount of the single bounded dichotomous model and the double bounded dichotomous model are estimated to be \8,951 and \6,926 respectively, making a relatively large difference. Fourth, the willness to pay amount of the model without covariates and the model with covariates are estimated to be \9,429 and \8,951, respectively, so the willness to pay amount is underestimated when the covariates are included. Fifth, the Spike model that considers zero payment intention and resistance response estimates \10,405 as the highest payment in this study. Finally, the CVM analysis guidelines proposed by the Korea Development Institute (KDI) are estimated to be \9,749 and \10,405 respectively, depending on including no covariates and with covariates. Compared to other models, the final willness to pay amount is not estimated underestimated. Therefore this study suggests the use of KDI's guidance under government public policy projects. In view of these results, the estimating model for willness to pay amount model will be selected by considering the sample size, the suitability of the model, the sign of the estimated coefficient, the statistical significance, the ratio of the zero payment intention and the payment rejection. And, for CVMs on government public policy projects, it is desirable to estimate by the method proposed by the KDI.

• Journal of the Korea Convergence Society
• /
• v.12 no.5
• /
• pp.313-326
• /
• 2021

This study was to introduce ecological momentary assessment and show how to apply it to real-world research. As preliminary study for sustainable development, the result explained growth model using senior's longitudinal data and suitability of multi-level model in EMA data with regression analysis. The total variance of dependent variable was determined through a base model with only intercept and approximately 47% of total variance was caused by individual differences and 53% by time point differences. Second model was used to verified that each individual has a different effect on the senior vitality and effect on time was not significant. This is because it is the result of a preliminary stage where treatment is not involved and there is no significant change in process of collecting EMA data without external intervention. Third model that add gender as an independent variable showed significant change in both time and gender. Finally compared the PRD for each model and found models that without gender variables fit the data more effectively. This suggests that studies dealing with longitudinal data such as EMA data should adopt multi-level model that can measure individual characteristics, taking into account respondents' time and context.