• Journal of the Korea Convergence Society
• /
• v.9 no.1
• /
• pp.9-20
• /
• 2018

The purpose of this paper is to analyze the effect of corporation internal reservation on R&D investment. It is to find how much effect the reflux tax has achieved through empirical analysis. In addition, education training expense was taken as a moderating variable to find the effectiveness of government policy. Furthermore, the study looked through the effect once again by using GMB model. According to the result counted by regression analysis, it could be concluded that the effect of both moderation and intervention had a significant effect and the variable of interest cost and welfare & benefit cost in model 1, 2 and 3 had a meaningful impact at the level of 99%. On the other hand, the previous corporate internal reservation failed to show any significant result in all types of models. Even in GBM model of convergence level applied to additional analysis, similar results came out.

• Journal of Korea Water Resources Association
• /
• v.54 no.11
• /
• pp.955-968
• /
• 2021

A water resource plan is routinely based on a natural flow and can be estimated using observed streamflow data or a long-term continuous rainfall-runoff model. However, the watershed with the natural flow is very limited to the upstream area of the dam. In particular, for the ungauged watershed, a rainfall-runoff model is established for the gauged watershed, and the model is then applied to the ungauged watershed by transferring the associated parameters. In this study, the GR4J rainfall-runoff model is mainly used to regionalize the parameters that are estimated from the 14 dam watershed via an optimization process. In terms of optimizing the parameters, the Bayesian approach was applied to consider the uncertainty of parameters quantitatively, and a number of parameter samples obtained from the posterior distribution were used for the regionalization. Here, the relationship between the estimated parameters and the topographical factors was first identified, and the dependencies between them are effectively modeled by a Copula function approach to obtain the regionalized parameters. The predicted streamflow with the use of regionalized parameters showed a good agreement with that of the observed with a correlation of about 0.8. It was found that the proposed regionalized framework is able to effectively simulate streamflow for the ungauged watersheds by the use of the regionalized parameters, along with the associated uncertainty, informed by the basin characteristics.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.11 no.3
• /
• pp.49-61
• /
• 2016

This study investigates the relationship between fear of failure of potential entrepreneur's psychological characteristics and entrepreneurial intentions using the mediation variables of planned behavior model. There are many existing prior research related to the entrepreneurial intentions, but they were mostly focused only entrepreneurial success factors. So in this study we focused on fear of failure of potential entrepreneur. To know the influence of the fear of failure related to entrepreneurial intention, we using the scale of PFAI (Performances Failure Appraisal Inventory). The purpose of this study is to examine an impact of fear of failure on entrepreneurial intention and add to mediating factors - attitude toward the acts, subjective norm, perceived behavior control - on the relationship between fear of failure and entrepreneurial intention. Also we examined entrepreneurial education as moderating effect in order to offset the fear of failure. In order to test research model, we collected data from 321 undergraduate students. To test the research questions and hypotheses, we employed SPSS 21.0 anf AMOS 18.0 for validity, reliability, confirmatory factor analysis, and structural model analysis. The results were as follows. First, the fear of failure negatively related to attitude toward the behavior and subjective norm. Second, attitude toward the behavior and subjective norm positively related to entrepreneurial intention in consistent with previous studies. Third, attitude toward the acts and subjective norm in TPB variables have full-mediation effects between fear of failure and intrepreneurial intention. Fourth, The moderating effects of entrepreneurial effect was not significant. The negative relationship between fear of failure and attitude toward the acts and subjective norm was even slightly stronger who have taken the entrepreneurial class group. We discuss the theoretical and managerial implications, and provide suggestions for future research.

• Journal of Bio-Environment Control
• /
• v.31 no.3
• /
• pp.152-162
• /
• 2022

This study developed simulation model for predicting the greenhouse interior environment using artificial intelligence machine learning techniques. Various methods have been studied to predict the internal environment of the greenhouse system. But the traditional simulation analysis method has a problem of low precision due to extraneous variables. In order to solve this problem, we developed a model for predicting the temperature inside the greenhouse using machine learning. Machine learning models are developed through data collection, characteristic analysis, and learning, and the accuracy of the model varies greatly depending on parameters and learning methods. Therefore, an optimal model derivation method according to data characteristics is required. As a result of the model development, the model accuracy increased as the parameters of the hidden unit increased. Optimal model was derived from the GRU algorithm and hidden unit 6 (r² = 0.9848 and RMSE = 0.5857℃). Through this study, it was confirmed that it is possible to develop a predictive model for the temperature inside the greenhouse using data outside the greenhouse. In addition, it was confirmed that application and comparative analysis were necessary for various greenhouse data. It is necessary that research for development environmental control system by improving the developed model to the forecasting stage.

• Journal of the Korea Society of Computer and Information
• /
• v.28 no.7
• /
• pp.145-153
• /
• 2023

The aim of this study is to examine the relationship between self-regulated learning, NLR(non-learning-related) behavior, interaction and flow on satisfaction in database classes. To achieve this purpose, this study proposed a research model consisting of self-regulated learning, NLR behavior, interaction, flow and satisfaction. A survey was conducted to test the research hypotheses, and a total of 122 online questionnaires were obtained and used for the final statistical analysis. The main findings of the analysis are as follows: First, flow was consistently identified as a key determinant of satisfaction. Second, self-regulated learning was found to have a significant effect on flow. Third, NLR behavior and interaction were found to mediate the relationship between self-regulated learning and flow. This study provides insights into the role of NLR behavior and interaction in promoting flow and offers implications for understanding how to promote flow.

• Journal of the Korea Society of Computer and Information
• /
• v.26 no.7
• /
• pp.109-118
• /
• 2021

Different from previous studies, this study focuses on accommodation providers' personalization services and platform convenience variables, identifying how these prior factors affect perceived value and trust in accommodation services on a shared homestay platform, and how consumers' innovation plays a role in the process. Through this, we would like to identify the mechanism of interaction between accommodation service providers and consumers mediated by the shared homestay platform and present implications for a more customer-centered platform operation strategy. This study has an extended meaning for prior research, empirically confirming that the increase in personalized offline service quality of personalized hosts in shared economic models has a positive impact on perceived value and platform trust of consumers. At the same time, we confirm that under the shared economy model, consumers' innovation propensity plays an important positive role in regulating their perceived value aspects as well as their confidence in the platform.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2018.05a
• /
• pp.111-113
• /
• 2018

우리나라 스마트폰 이용자는 경제활동 대부분이 사용하고 있으며 초기 형성단계를 지나 포화상태에 도달한 것으로 전문가들은 내다보고 있다. 본 연구는 지배적 디자인 속성이 스마트폰 사용자의 지속사용의도에 미치는 영향을 알아보고자 하였다. 예측변수로는 확장 기술수용모델에서 제시된 인지된 유용성, 인지된 사용 용이성을 선택하였고 지배적 디자인 속성, 인지된 가치를 매개 조절변수, 종속변수는 지속사용의도를 선택하여 개념모델을 완성하였다. 연구대상은 중국 시안과학기술대학교 대학생 및 대학원생을 대상으로 160명이며 설문을 통해 기초 데이터를 수집하였다. 인구통계학적인 분석은 IBM SPSS Statistics 19로 하였고 AMOS (analysis of moment structures)를 사용하여 확인적 요인분석과 변수 간의 인과관계에 대한 경로분석을 실시하였다. 분석결과를 바탕으로 실무적 및 학문적 시사점을 논의하고자 한다.

• Korean Journal of Food Science and Technology
• /
• v.38 no.6
• /
• pp.829-834
• /
• 2006

LP-BM5 murine leukemia retrovirus induces the immune dysfunction by imbalanced secretion of Th1 and Th2 cytokines in the murine AIDS model. In the present study, it was investigated whether pycnogenol (Pyc) administration could deactivate $NF-{\kappa}B$ to regulate the gene expression of Th1 and Th2 cytokines in C57BL/6 mice with murine AIDS. Treatment with Pyc for 12 weeks significantly inhibited the loss of body weight and enlargement of spleen and lymph node usually seen with AIDS. Moreover, Pyc increased the plasma level of Th1 cytokines, IL-2 and $IFN-{\gamma}$, while reducing the plasma level of Th2 cytokines, IL-6, IL-10, and $TNF-{\alpha}$. In primary culture of splenocytes, mRNA expression of Th2 cytokines was suppressed, but that of Th1 cytokines was not affected. The LP-BM5 retrovirus infection stimulated the cytoplasmic activation of $NF-{\kappa}B$ and nuclear translocation of $I-{\kappa}B$, whereas Pyc administration significantly reduced $NF-{\kappa}B$ activation and $I-{\kappa}B$ degradation. These results suggested that the inhibitory effect of Pyc on Th2 cytokines in mice with murine AIDS was dependent on suppression of the $NF-{\kappa}B$ signaling pathway and was not dependent on $INF-{\gamma}$ level, which regulates Th2 cytokines.

• The Journal of the Korea Contents Association
• /
• v.21 no.4
• /
• pp.815-824
• /
• 2021

Purpose: This study was to identify the degree of academic stress, college life Adjustment, and social support perceived by nursing students, and to identify the mediating effect of social support between academic stress and college life Adjustment. The participants were 248 nursing college students who have experience in field practice at 4 universities in G metropolitan city. Data analysis was analyzed using SPSS 24.0 as Descriptive statistics, Independent-test, One-way ANOVA, Pearson's correction, and Bootstrapping. Results: The study found 2.68 points for academic stress, 4.11 points for social support, and 3.5 points for college life adjustment. Academic stress was negative correlation with social support and Adjustment to college life, social support was positive correlation with Adjustment to college life. As a result of the analysis by applying the mediating effect verification model 4, first, academic stress had a significant negative effect on social support, second, academic stress had a negative effect on college life adjustment, and social support had a positive effect on college life adjustment. Third, the analysis of the total, direct, and indirect effects of academic stress and social support on college life adjustment showed that they were all significant. In conclusion, it has been found that social support has a partially controlled mediating effect between academic stress and college life adjustment.

• Journal of Practical Engineering Education
• /
• v.14 no.2
• /
• pp.313-325
• /
• 2022

This study aims to identify the conditional direct and indirect effects by Gender in the relationship between Learning Agility, Unlearning and Learning Flow for university students. Based on the data collected from 265 university students the conditional effectiveness of the research model was analyzed using Process v3.4 for SPSS. As a result, first, the Learning Agility of university students had a statistically significant effect Unlearning and Learning Flow. Second, Learning Agility had a statistically significant direct effect on Learning Flow by gender but, the moderated effect of Learning Flow had a significant negative effect. Third, the moderated mediating effect of Unlearning by gender was found to be significant in the relationship between Learning Agility and Learning Flow of university students. Based on these results, implications of education at university were presented.